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CONTEXT
Innovation is an important driver of increased productivity, sustainability and resilience in agriculture, forestry and related sectors. An analysis of how different types of multi-actor co-innovation partnerships function can help to identify the reasons why some are more successful than others in ‘speeding up’ innovation.
OBJECTIVE
To provide a framework for the analysis of the co-innovation process, we developed a multidimensional conceptual typology of co-innovation activities based on a review of 200 such partnerships involving farmers and foresters from across Europe. This framework is based on innovation systems theory and the prevailing policy context of the ‘multi-actor approach’.
METHODS
The overarching concept or dependent variable measured by the typology is ‘effectiveness of co-innovation by a multi-actor partnership’ and the two dimensions of the overarching concept are the ‘structural components of the Organisational Innovation System’, with four categories, and ‘attitude towards interaction’, with two categories. The result is a matrix of eight ‘ideal types’ of co-innovation activity. These eight types are characterised according to first-order constructs derived from our research data.
RESULTS AND CONCLUSIONS
The results show that the co-innovation process can successfully take contrasting forms according to the ‘contextual contingencies’ encountered by the partnership. In other words, no one ideal type is intrinsically ‘superior’ to another but may be more ‘appropriate’ in given circumstances. Factors influencing approaches to implementation include actor capacities, aspirations and networks, the co-innovation topic and its influence on the partnership size and the workplan structure, the type of co-innovation activity outputs and the need to engage with the ‘larger periphery’ of stakeholders, and the nature of the enabling environment.
SIGNIFICANCE
The typology is not a classification since the ideal types represent organisational forms that might exist rather than real partnerships. However, the analytical framework it provides will help policy makers and programme managers to develop targeted interventions, according to actor needs and local circumstances, for ‘speeding up’ innovation.
Livestock farming, which produces milk and meat, is practised by nearly all cultures. But in addition to this, grazing livestock fulfils other fundamentally important roles, one of which is the maintenance of open landscapes, which in turn provides habitat for many rare plant and animal species. Whether wild large herbivores, such as red deer (Cervus elaphus), benefit from the management of the open landscapes is unknown, and there are conflicting views on the nature of the interaction between livestock and wildlife. To investigate this question, we studied interactions in space and time between red deer and livestock in an 787 ha fenced pasture in eastern Germany. First, we used faecal pellet counts to determine whether red deer were using the fenced pasture and whether livestock were using the entire available pasture. Second, we fitted ten red deer, as well as eight Konik horses (Equus ferus caballus) and eight Heck cattle (Bos taurus) with GPS-collars. These data allowed us to perform analyses of space–time interactions. The faecal pellet data showed that red deer did indeed use the fenced pasture and that livestock used the entire extent of the pasture. Further, we verified a neutral space–time interaction between red deer and livestock within the pasture. Thus, there was no indication of a negative effect of the presence of livestock on red deer inside the pasture. For these reasons, we recommend that low-intensity grazing by cattle and horses can maintain open landscapes without detrimental effects on the use of the area by red deer.
In commercial transaction of stacked roundwood, the estimation of the stack net volume plays a key role. One generalized method to determine the net volume is using conversion factors that relate the gross and net volumes. In this literature review the developed methods to estimate the conversion factors as well as their influencing parameters were analyzed based on 153 references from America and Europe. According to the results, 48 different methods (including their variants) for estimating the conversion factors were developed. The newest methods enabled their accurate determination inexpensively, e.g., photo-optical methods or 3D simulation models. The analyzed references revealed that 30 parameters influence the conversion factors. Based on this comprehensive review, each stakeholder involved in the roundwood supply chain can know which method is used for estimating the conversion factors in the analyzed territories and which influencing parameters should be considered when purchasing roundwood in order to accurately assess the solid wood content in the stacks.
The concept of ecosystem services, especially in combination with economic valuation, can illuminate trade-offs involved in soil management, policy and governance, and thus support decision making. In this paper, we investigate and highlight the potential and limitations of the economic valuation of soil-based ecosystem services to inform sustainable soil management and policy. We formulate a definition of soil-based ecosystem services as basis for conducting a review of existing soil valuation studies with a focus on the inclusion of ecosystem services and the choice of valuation methods. We find that, so far, the economic valuation of soil-based ecosystem services has covered only a small number of such services and most studies have employed cost-based methods rather than state-of-the-art preference-based valuation methods, even though the latter would better acknowledge the public good character of soil related services. Therefore, the relevance of existing valuation studies for political processes is low. Broadening the spectrum of analyzed ecosystem services as well as using preference-based methods would likely increase the informational quality and policy relevance of valuation results. We point out options for improvement based on recent advances in economic valuation theory and practice. We conclude by investigating the specific roles economic valuation results can play in different phases of the policy-making process, and the specific requirements for its usefulness in this context.
Scientific evidence suggests that there is room for eradicating poverty and hunger by increasing food production through the adoption of modern agricultural practices by farmers. This study aimed, first, to explore the relationship between the farmers’ awareness and adoption of improved wheat varieties. Second, it aimed to find the key factors that govern the farmers’ awareness and adoption of extension-recommended innovations in the rainfed cropping system of the Khyber Pakhtunkhwa, Pakistan. Data were collected from 395 respondents. A binary logit model was used to analyze the effect of the farmers’ socioeconomic and farm-specific characteristics on their awareness and adoption of the extension-suggested wheat varieties. Moreover, qualitative data from 40 key informants were collected for in-depth analysis. The results show a strong association between the farmers’ awareness of a technology (improved wheat varieties) and its adoption. The results of the logit model show that their extension contacts, income from agriculture, and access to credit positively affected the farmers’ awareness, whereas their education and household sizes negatively affected their awareness. Moreover, the factors that positively influenced the farmers’ decision to adopt the technology included the extension contact, the confidence in the extension, the risk-bearing attitude, and the credit access, whereas the household size and education negatively affected it. The results of the key informant interviews reveal that the high incidence of poverty, the low soil fertility, the farmers’ inability to make effective decisions, the lack of accurate weather predictability in the rainfed farming system, the lack of government interest, and the asymmetric information in the inputs markets contributed to the farmers’ low levels of awareness and to their poor adoption of improved agricultural technologies. These results indicate that any intervention aimed at the awareness and adoption by farmers of improved technologies, such as new wheat varieties, should recognize the heterogeneity in the farmers’ socioeconomic and farm-specific characteristics.
Using survey information of 150 randomly selected households across 21 villages of the forest-rich district of Swat, Pakistan, this study assessed households’ decision-making behaviors in depending on income from nearby forested land using socio-economic attributes. The evidence from the study may aid in making the existing policies be better targeted toward families that depend on the forest for income. Descriptive statistics and econometric techniques such as logit and tobit were used to analyze the data. Respondent households obtained the highest share of their income from off-farm activities (37%) and least from forest activities (16%). Fuelwood constitutes the biggest share (66%) of forest income, followed by medical plants (20%) and fodder (13%). We found that households with more physical assets, more family members working in off-farm jobs, and households earning more income from off-farm jobs were significantly and negatively associated with households’ decision to depend on forest income and total income obtained. We also found that households with less distance to the market and membership to joint forest management committees (JFMCs) were significantly and negatively associated with households’ total income obtained. However, household size was significantly and positively related to households’ decision of forest dependency. The study recommends the creation of off-farm opportunities and inclusion of local people in the management of forests through establishment of JFMCs, particularly for large and poor families.
This study investigates the factors that affect farmers’ access to agricultural credit and its role in adopting improved agricultural technologies in the rain-fed zone of Khyber Pakhtunkhwa (KP), Pakistan. Using logistic models, we assess and compare the relative role of farmers’ socioeconomic attributes in their access to credit and adoption strategies. The results indicate a moderate positive association between farmers’ access to agricultural credit and their adoption of improved agricultural technologies. The binary logit model’s results indicate that farmers with a large-sized farm, high farm income, better access to information, and large physical asset ownership showed a positive influence on credit access. However, farming experience showed a negative effect on farmers’ access to agricultural credit. Regarding farmers’ credit sources, this study found that asset-rich farmers with more farming experience and better access to information relied more on banks than on input providers and informal credit sources. Similarly, older farmers with more education, larger farm sizes and high farm income were more likely to have borrowed from input providers than banks. We conclude that the role of the effective provision of information on credit and agricultural technology is imperative and requires separate policies that are specifically aimed at different groups of farmers with different socioeconomic and farm-related characteristics.
The low agricultural productivity of key crops and food insecurity continue to be key issues in Sub-Saharan Africa (SSA) and Tanzania. The growing population, depleting resources, and changing climate further amplify these issues. Globally, many agricultural technologies (AgTs) are available as pathways for improved agricultural productivity and food security, however, they have had relatively little success in SSA and Tanzania. This is because the uptake of AgTs is a complex process, which is highly localized, involving multiple actors, stages, and spatial and time dimensions. Smallholder farmers often experience issues of sustainability, constraints for adoption, and scaling-up throughout the uptake process of AgTs, all of which vary by region. This indicates a need for a systematic and simultaneous understanding of sustainability, constraints for adoption, and scaling-up of AgTs to better guide agricultural strategy and policy interventions in SSA and Tanzania. Moreover, in order to understand the local settings better, a consideration of the perceptions of the farmers themselves, who are the primary actors in the uptake process of AgTs, is key. Acknowledging this, the study takes on a case study approach, using the scaling-up assessment (ScalA) method and three focus group discussions with a total of 44 smallholder farmers to systematically and simultaneously assess the sustainability, constraints for adoption, and scaling-up of three AgTs (use of fertilizers, improved seeds, and small-scale irrigation) in Tanzania. The study finds that the farmers perceive all three AgTs to be sustainable for the study region. Adoption rates are perceived to be medium for use of fertilizers, high for improved seeds, and low for small-scale irrigation. The most significant constraints for adoption experienced by the farmers are lack of technical physical inputs, marketing facilities, and know-how. Scaling-up is perceived to be well fulfilled for use of fertilizers and improved seeds, but only partially fulfilled for small-scale irrigation, which is the most limited of the three AgTs. The most significant constraints for scaling-up experienced by farmers are a lack of confidence in the added value of the AgTs beyond project activities, marketing facilities, and technical physical inputs. The overall success potential is high for the use of fertilizers and improved seeds, and the average for small-scale irrigation. The farmers’ perceptions partially indicate why the bundle of AgTs is lacking in the study region and provide a basis for discussing targeted agricultural and policy interventions in Tanzania.
Climate change is a severe threat to the agricultural sector in general and to rainfed farming in particular. The aim of this study was to investigate the factors that can potentially affect the adaptation process against climate change. This study focused on wheat farmers and farming systems in the rainfed agroecological zone of Pakistan. Farmers’ data related to climate change fatalism, the availability of climate-specific extension services, socioeconomic and institutional variables, and farm characteristics were collected. A logit model to assess farmers’ decisions to adopt an adaptation measure and a multinomial logit model to assess their choice of various adaptation measures were used. The results showed that fatalistic farmers were unlikely to implement climate change adaptation measures. The variables related to the climate-specific extension services, including farmers’ participation in training on climate-resilient crop farming and the availability of mobile communication-based advisory services, had highly significant and positive impacts on farmers’ decisions and their choice of adaptation measures. Input market access and tractor ownership also had positive and significant impacts on farmers’ decisions to adapt and their choice of adaptation measures. This study highlights the need to improve rainfed-wheat farmers’ education levels to change their fatalistic attitudes towards climate change. Furthermore, government action is needed to provide climate-specific extension services to ensure sustainable production levels that will ultimately lead to food and livelihood security under a changing climate.
In Tanzania, the increasing population coupled with climate change amplifies issues of food insecurity and negatively impacts the livelihoods of smallholder farmer households. To address these issues a range of water conservation techniques (WCTs) have been useful. However, the adoption of these WCTs in Tanzania has been limited due to many reasons. With the objective to better understand and identify the factors that significantly influence the adoption of WCTs in Tanzania, the study uses survey data from 701 smallholder farmer households and a bivariate logistic regression, to provide, for the first time, a comprehensive model for the adoption of WCTs in Tanzania that includes a range of individual, household, socio-economic, and farmer perception related variables (factors). The evaluation shows that 120 farmers (17.12%) adopted WCTs and finds the farmer perceptions of rainfall instability, household wealth, and food security to be crucial. The results suggest that policy interventions should encourage conservation behavior (especially when the rainfall is perceived to be uncertain), emphasize the economic and food security-related benefits of adopting WCTs, include strategies that make adoption of WCTs attractive to female-led households, attempt to reach greater number of farmers via social networks and provide better access to public funds for farmers.
Climate change challenges forest vitality both directly by increasing drought and heat periods and indirectly, e.g., by creating favorable conditions for mass outbreaks of phyllophagous insects. The large forests dominated by Scots pine (Pinus sylvestris L.) that cover the lowland regions in northeast Germany have already been affected regularly by cyclic mass propagations of defoliating insect species in the past with climate projections implying an even more advantageous environment for devastating outbreaks in the future. To improve predictive and responsive capacities we have investigated a wide range of ecological parameters to identify those most strongly related to past outbreak waves of three central species. In total, we analyzed 3,748 variables covering stand and neighborhood properties, site quality, and climatic conditions for an area of roughly 750,000 ha of pine forests in the period 2002–2016. To reflect sensitivity against varying climate, we computed “floating windows” in relation to critical phenological phases of the respective insects. The parameters with the highest explanatory power resulted from the variable importance measures of the Random Forest (RF) methodology and have been evaluated by a 10-fold cross-validation process. Our findings closely reflect the known specific gradation patterns and show that relative variable importance varies with species. While Lymantria monacha L. feeding was mainly dependent on the surroundings of the respective stand, Diprion pini L. proved to be almost exclusively susceptible to climatic effects in its population dynamics. Dendrolimus pini L. exhibited a mixed pattern of variable importance involving both climatic and forest structure parameters. In many cases the obtained statistical results support well-known ecological cause-effect relations and long-term population change dynamics. The RF delivered very high levels of sensitivity and specificity in the developed classifications and proved to be an excellent tool to handle the large amounts of data utilized for this study. While the presented classification approach may already support a better prognosis of the amplitude during the outbreak culmination, the obtained (most important) variables are proposed as preferable covariates for modeling population dynamics of the investigated insect species.
Humans are exposed to agricultural soils through inhalation, dermal contact, or the consumption of food. Human health may be at risk when soils are contaminated; while some soil contaminants such as heavy metals (HMs) have been extensively studied, others such as micro(nano)plastics (MNPs) or antibiotic-resistant bacteria (ARB) pose novel threats. This paper investigates the linkages between soil contamination and human health risk by reviewing the state of knowledge on HMs, MNPs, and ARB in agricultural soils. A keyword-based search in Web of Science, Scopus, and Google Scholar was conducted, complemented with a backward snowball search. We analysed main sources of contamination for agricultural soils, risks to human health differentiated by uptake pathway (ingestion, inhalation, dermal), and interactions of contaminants with microorganism, soil fauna, and plants. Results show that the emergence and spread of ARB and antibiotic resistant genes from agricultural soils and their contribution to antibiotic resistances of human pathogens is recognized as a significant threat. Likewise, a growing body of evidence indicates that MNPs are able to enter the food chain and to have potentially harmful effects on human health. For HM, knowledge of the effects on human health is well established. Multiple agricultural practices increase HM concentrations in soils, which may lead to adverse health effects from the ingestion of contaminated products or inhalation of contaminated soil particles. Severe knowledge gaps exist about the pathways of the contaminants, their behaviour in soil, and human uptake. Little is known about long-term exposure and impacts of MNPs, antibiotics and ARB on human health or about the possible combined effects of MNPs, ARB, and HMs. Missing monitoring systems inhibit a comprehensive assessment of human health risks. Our research demonstrates the need for human health risk assessment in the context of agricultural soils, in particular to be able to assess risks related to measures reinforcing the concept of the circular economy.
The concept of ecosystem services (ES) creates understanding of the value of ecosystems for human well-being. With regard to soils, it provides a framework for assessments of soil contributions and soil management impacts. However, a lack of standardization impedes comparisons between assessment studies and the building of synthesis information. The Common International Classification of Ecosystem Services (CICES) is an important step forward, although its application to soils is not without difficulty. CICES version 5.1 defines 83 ES classes, of which only some are relevant for soils. We compiled two subsets of CICES classes: one set of soil-related ES comprising 29 services defined as directly and quantifiably controlled by soils and their properties, processes and functions, and another set of 40 ES defined as being affected by agricultural soil management. Additionally, we conducted a systematic literature review, searching for published lists of soil-related ES that claim completeness. We identified 11 relevant lists. Of all CICES classes, 12 were included in more than 75% of the lists, whereas another 36 classes were included in 25–75% of them. Regarding the suitability of the CICES classification for addressing ES in the context of soils and their agricultural management, we identified constraints, such as overlaps, gaps, and highly specific or very broad class definitions. Close cooperation between the soil research and ES communities could ensure better consideration of soils in future CICES updates. A shortlist of 25 service classes affected by agricultural soil management facilitates a standardized approach and may function as checklists in impact assessments.
Large carnivores are currently recolonizing Europe following legal protection, but increased mortality in landscapes highly impacted by humans may limit further population expansion. We analyzed mortality and disappearance rates of 35 wolves (of which three emigrated, nine died and 14 disappeared by 1 January 2020) by genetic monitoring in the heavily cultivated and densely populated Jutland peninsula (Denmark and Schleswig-Holstein, Germany). Annual traffic kill rate estimates ranged from 0.37 (95% CI: 0.11–0.85) to 0.78 (0.51–0.96) in the German part, equivalent to 0.08 (0.02–0.29)–0.25 (0.13–0.46) for the entire region, in the absence of any registered Danish roadkills. In Denmark, annual mortality rate estimates ranged from 0.46 (0.29–0.67) to 0.52 (0.35–0.71), predominantly from cryptic mortality. Despite successful reproductions, we conclude the region is a wolf population sink, primarily driven by cryptic mortality, most likely illegal killing. We hypothesize that frequent encounters between wolves and wolf-averse persecutors in cultivated landscapes may cause unsustainably high mortality rates despite the majority of hunters respecting protection laws.
The Earth system and the human system are intrinsically linked. Anthropogenic greenhouse gas emissions have led to the climate crisis, which is causing unprecedented extreme events and could trigger Earth system tipping elements. Physical and social forces can lead to tipping points and cascading effects via feedbacks and telecoupling, but the current generation of climate-economy models do not generally take account of these interactions and feedbacks. Here, we show the importance of the interplay between human societies and Earth systems in creating tipping points and cascading effects and the way they in turn affect sustainability and security. The lack of modeling of these links can lead to an underestimation of climate and societal risks as well as how societal tipping points can be harnessed to moderate physical impacts. This calls for the systematic development of models for a better integration and understanding of Earth and human systems at different spatial and temporal scales, specifically those that enable decision-making to reduce the likelihood of crossing local or global tipping points.
Scholars have argued that circular economy (CE) must be upscaled and globalized to address excessive resource extraction and waste generation. Many CE practitioners consider the first international CE agreement between China and the EU a milestone towards such an effort. This analysis shows why this expectation is premature. European and Chinese stakeholders’ optimistic and depoliticized CE narratives disable communication regarding development disparities, negative competition and distrust, which shape geopolitical rivalry. While skeptical narratives that address political barriers exist, they fall short of suggesting alternatives. Based on 72 stakeholder interviews, 40 documents and participant observation, these results highlight the critical importance of investigating narrative strategies to repoliticize environmental cooperation. Such narrative strategies would support contestation and negotiation on development disparities and open channels for joint conceptualization of implementation scales for environmental strategies, circular or otherwise. We therefore propose using constructivist perspectives of international relations to explore discursive barriers and enablers to global environmental action.
The variation of wood species processed in sawmills in developing countries generates composite waste which presents treatment challenges due to a lack of understanding of their physicochemical characteristics for proper planning for clean energy generation. Most of the waste is discarded or burnt openly which releases harmful gases into the environment. This study investigated the physicochemical characteristics of mixed sawdust generated from five wood species generated at a Ghanaian sawmill in Oforikrom Municipality for improving waste treatment. The particle size distribution (PSD), bulk density, proximate and ultimate values, thermogravimetric analysis (TGA) and structural analysis were used to characterize the composite sawdust for briquetting and gasification purposes. It was found that the net heating value (17.46 MJ/kg), some proximate and ultimate values meet briquette standard but high percentages of ash (2.95%), moisture (41.48%) and the possibility of nitrogen oxides emissions were notable challenges. PSD resulted in different high fine fractions which are unsuitable for densification. The increase of sieving amplitudes at 30, 50 and 80 rpm generated an average increase in sieve efficiency of fines by 4.22%. Mixing of fines (42.38–46.6%) and optimum particle size (53.40–57.62%) fractions was suggested as the best approach to enhance briquette density and durability. The FTIR spectra showed a range of peaks such as 1734.46 cm−1, 1620.48 cm−1, 1506.50 cm−1, 1462.02 cm−1, 1420.32 cm−1 etc. for functional groups identification. Composite sawdust spectra showed high absorbance with no shift of wavenumbers compared with temperate woods, however, it deviated massively when compared with industrial cellulose and organosolv lignin. TGA indicated that exact mixed wood pyrolysis temperatures, volatile and biochar fractions will always depend on sample compositions. The increase in heating rates yielded little significance to volatiles and char increments. Collection of clean sawdust and rooftop drying were recommended as a way of enhancing sawdust properties. Composite sawdust has a promising potential to support Ghana's activities for meeting the renewable energy generation targets. The understanding of these potential assessments is significant to boost the local municipality energy supply.
Scots pine (Pinus sylvestris L.) is the most widely distributed pine species in the world. In Germany, as in many other European countries, it is a very important species both culturally and economically. Few studies have focused on bark volumes being delivered to the wood industry together with the roundwood, being potentially a valuable resource for material or energetic utilization. Therefore, logs from six different forest sites were collected and bark variables including double bark thickness (DBT) in three different categories, diameter, and bark damage (as a degree of miss-DBT) in three different categories, diameter, and bark damage (as a degree of miss-ing bark) were measured and analyzed in order to model bark volume (Vbark) and bark mass (Mbark). The correlation analysis using Pearson’s method showed that the highest correlation coefficients were observed from the correla-tion between DBT and Vbark, as well as between DBT and Mbark. Also, results demonstrated that with DBT greater than 20 mm, the percentage of Vbark exceeded 20%. Finally, different linear regression models were recommended to predict Vbark and Mbark based on the other variables. The results of this study can be used in different wood industries in order to predict bark volume and bark mass of e.g. truckloads or roundwood stacks.
Following the dissolution of the Soviet Union, agricultural reforms in Central Asia often translated into the fragmentation of large fields into smaller shares. Most remote-sensing-based land use classification approaches are categorical in nature, and thus they are unable to capture these changes. We have developed an approach to detecting the timing of land fragmentation based on textural information from a time series of Landsat images for four Central Asian countries (Uzbekistan, Turkmenistan, Kyrgyzstan and Tajikistan) between 1990 and 2019. Our results showed that detected fragmentation events correspond well with documented agrarian reform processes in the different countries, and validation yielded maximum overall accuracies between 67 and 73%. In a case study of a former collective farm in Kyrgyzstan, we demonstrate how our method can accurately detect changes on the local scale. Texture time series data have great potential for analysing the trajectories of cropland fragmentation, in particular in regions where additional information on land use is limited.
Overcoming the efficiency paradigm—The challenges of introducing local organic beef in canteens
(2023)
Introduction
In recent years, there has been a growing recognition that public canteens can play an important role in supporting the transformation toward sustainable food systems and providing access to sustainable and healthy food for everybody—including the most vulnerable groups of the population. One important way in which canteens can contribute to this transformation is by increasing the share of organic and local products. These new political and public demands contrast with the organizational development of canteens over the past few decades, which has mainly been characterized by an increase in economic efficiency and a reduction in costs. Based on a project that was carried out in the Berlin-Brandenburg region (Germany), this paper exemplifies some of the challenges canteens face in the process of introducing organic and local products.
Methods
The empirical results are based on 31 qualitative interviews with canteen managers and kitchen staff as well as with the processing company involved. In addition, a survey of 500 canteen guests was conducted in the participating canteens.
Results
The analysis shows that the canteens had to adapt various organizational practices to ensure a healthy and sustainable diet at manageable cost. Introducing local organic beef in the canteens requires close cooperation with local farmers and processors, a change in procurement practices, transparency around the origin of the products, as well as adapted menu planning.
Discussion
Based on the empirical results, the paper discusses how these challenges can be met and which supportive measures can be taken on different governance levels. To change entrenched practices, process facilitators who support local cooperation along the value added chain are needed, and practical knowledge and professional training must be provided. The article concludes that there is a great potential to foster a sustainable and healthy diet via public and private canteens if the tension between efficiency and sustainability orientation can be overcome by adapting framework conditions.
Going Wild in the City—Animal Feralization and Its Impacts on Biodiversity in Urban Environments
(2023)
Simple Summary
Understanding the impact of urbanization on biodiversity is a crucial task of our time. Here, we reflect on the importance of feralization in the relationship between ongoing urbanization and the worsening biodiversity crisis. Feralization is often viewed as the exact opposite of a domestication process—a perception that we argue is too simplistic. The interrelations between domestication, feralization, and the adaptation of taxa to novel, human-made environments such as cities are complex. Given their unique traits, feral(izing) taxa can play key roles in sustainability, sometimes problematic (i.e., invasive species) but at other times, improving human well-being in urban settings.
Abstract
Domestication describes a range of changes to wild species as they are increasingly brought under human selection and husbandry. Feralization is the process whereby a species leaves the human sphere and undergoes increasing natural selection in a wild context, which may or may not be geographically adjacent to where the originator wild species evolved prior to domestication. Distinguishing between domestic, feral, and wild species can be difficult, since some populations of so-called “wild species” are at least partly descended from domesticated “populations” (e.g., junglefowl, European wild sheep) and because transitions in both directions are gradual rather than abrupt. In urban settings, prior selection for coexistence with humans provides particular benefit for a domestic organism that undergoes feralization. One risk is that such taxa can become invasive not just at the site of release/escape but far away. As humanity becomes increasingly urban and pristine environments rapidly diminish, we believe that feralized populations also hold conservation value.
The proportion of bark in tree trunks is in the range of ~ 10–20%. This large amount of material is currently mainly considered as a by- or even waste-product by the timber processing industry. Recently, efforts towards the use of bark have been made, e.g. as a raw material to harvest different chemical compounds or as an additive for wood particle boards. Our motivation for this work was to keep the bark in an almost natural state and explore alternative processes and applications for use. The traditional method of de-barking tree trunks by peeling was used to harvest large bark pieces. Two pieces of peeled bark were placed crosswise, with the rhytidom side (outer bark) facing each other. After different conditioning steps, bark pieces were hot pressed to panels without adding adhesives. These experiments on bark samples of different Central European tree species suggest that production of panels with species dependent properties is possible and feasible. This is a step towards producing sustainable panels by using a natural waste material, while retaining its beneficial structure and its natural chemical composition.
Intact forests contribute to the ecosystem functionality of landscapes by storing and sequestering carbon, buffering and cooling the microclimate, and providing a range of related ecosystem functions. Forest fragmentation not only poses a threat to many organisms but also reduces the resistance and resilience of the ecosystem, which is especially relevant to the ongoing climate crisis. The effects of recent extreme heat years on forests in Germany have not been studied in detail for the influence of fragmentation. We investigate the relation of forest fragmentation with temperature and vitality in Germany per ecoregion at the canopy level using satellite imagery at 1-km and 30-m resolution. We compiled and correlated forest maps for connectivity based on Thiessen polygons, canopy temperatures on the hottest days based on land surface temperature, and forest vitality based on the maximum normalized difference vegetation index per growing season. We differentiated between ecoregions and main forest types. In 2022, larger intact tree-covered areas that are less fragmented have relatively low temperatures on hot days and higher overall vitality. Nearly 98% of the almost 1.95 million forest fragments at 30-m resolution in Germany are smaller than 1 km2, which cover nearly 30% of the total forest area. To counteract the forest crisis, forest and landscape management should aim to reduce fragmentation and maintain tree biomass and forest cover in the landscape. Increasing the size of continuous forest fragments contributes to ecosystem-based adaptation to climate change.
Changes in a Bird Community in an Agricultural Landscape in Northeast Germany between 1999 and 2015
(2022)
Temporal changes in the bird community of an agricultural landscape in northeast Germany were analysed covering three different analytical foci (landscape-wide, habitat types, sample plots) and two aggregation levels of bird observation data (whole bird community, bird guilds). The analyses are based on a systematic data sampling over two multi-year campaigns (1999–2002; 2013–2015). Our analyses address the question of how changes in the occurrences of agricultural birds (numbers of species and of individuals) at local spots manifest themselves in the landscape as a whole. By summarizing all findings concerning single variables (number of species, observation frequencies, abundances, different habitat types, bird guilds), a dramatic, systematic decline of the bird community at sample plots was discovered between the campaigns, which is not yet recognisable across the whole landscape in terms of species richness. Furthermore, we found that landscape-wide, the birds’ use of habitat changed; the variability between single sample plots increased strongly and most species occurred at fewer sample plots over the whole landscape. Obviously, sample plots with high bird occurrences are becoming more relevant for maintaining bird communities over the whole landscape. Bird community composition changed significantly within the observation period.
Analysis of urban dynamics is a pivotal step towards understanding landscape changes and developing scientifically sound urban management strategies. Delineating the patterns and processes shaping the evolution of urban regions is an essential part of this step. Utilizing remote-sensing techniques and Geographic Information System (GIS) tools, we performed an integrated analysis on urban expansion in Srinagar city and surrounding areas from 1999 to 2017 at multiple scales in order to assist urban planning initiatives. To capture various spatial indicators of expansion, we analysed (i) land use/land cover (LULC) changes, (ii) rate and intensity of changes to built-up areas, (iii) spatial differentiation in landscape metrics (at 500, 1000 and 2000 m cell-size), and (iv) growth type of the urban expansion. Global Moran’s I statistics and local indicators of spatial association (LISA) were also employed to identify hotspots of change in landscape structure. Our methodology utilizes a range of geovisualization tools which are capable of appropriately addressing various elements required for strategic planning in growing cities. The results highlight aggregation and homogenization of the urban core as well as irregularity and fragmentation in its periphery. A combination of spatial metrics and growth type analysis supports the supposition that there is a continuum in the diffusion-coalescence process. This allows us to extend our understanding of urban growth theory and to report deviations from accepted stages of growth. As our results show, each dominating growth phase of the city—both diffusion (1999) and coalescence (2009 and 2017)—is interspersed with features from the other type. An improved understanding of spatial differentiation and the identification of hotspots can serve to make urban planning more tailored to such local conditions. An important insight derived from the results is the applicability of remote-sensing data in urban planning measures and the usefulness of freely available medium resolution data in gaining a comprehensive understanding of the evolution of cities.
Urban gardens are spreading in many cities across Europe, with community gardening being a fundamental form of urban agriculture. While the literature reveals the essential role that community gardens can play in terms of learning and education, no studies have investigated the training needs for participants in community gardens to ensure their successful development. The goal of this article is to evaluate the training requirements of urban community gardens to ensure their successful implementation and their contribution to sustainability in European cities. Two questionnaires of users’ needs analysis were designed and implemented in Berlin, Bologna, Budapest, and Cartagena. The results unveiled the need to re-enforce the training in the formation and community building phases of community gardens towards ensuring the creation of an engaged gardening community to maintain activity, particularly for top-down activities (e.g., research-related gardens). Users claimed their need for being trained on crop management skills (e.g., maintenance, bed preparation, organic practices) and on communication skills to further disseminate their activity, thereby increasing the potential for citizen engagement. Such requirements could be overcome with the creation of urban gardens networks, where experiences and knowledge are shared among practitioners. Policy recommendations are provided based on the outputs of this study.
The measurement of tree height has long been an important tree attribute for the purpose of calculating tree growth, volume, and biomass, which in turn deliver important ecological and economical information to decision makers. Tree height has traditionally been measured by indirect field-based techniques, however these methods are rarely contested. With recent advances in Unmanned Aerial Vehicle (UAV) remote sensing technologies, the possibility to acquire accurate tree heights semi-automatically has become a reality. In this study, photogrammetric and field-based tree height measurements of a Scots Pine stand were validated using destructive methods. The intensive forest monitoring site implemented for the study was configured with permanent ground control points (GCPs) measured with a Total Station (TS). Field-based tree height measurements resulted in a similar level of error to that of the photogrammetric measurements, with root mean square error (RMSE) values of 0.304 m (1.82%) and 0.34 m (2.07%), respectively (n = 34). A conflicting bias was, however, discovered where field measurements tended to overestimate tree heights and photogrammetric measurements were underestimated. The photogrammetric tree height measurements of all trees (n = 285) were validated against the field-based measurements and resulted in a RMSE of 0.479 m (2.78%). Additionally, two separate photogrammetric tree height datasets were compared (n = 251), and a very low amount of error was observed with a RMSE of 0.138 m (0.79%), suggesting a high potential for repeatability. This study shows that UAV photogrammetric tree height measurements are a viable option for intensive forest monitoring plots and that the possibility to acquire within-season tree growth measurements merits further study. Additionally, it was shown that negative and positive biases evident in field-based and UAV-based photogrammetric tree height measurements could potentially lead to misinterpretation of results when field-based measurements are used as validation.
The management and preservation of structures in our built environment are central and challenging tasks for practicing engineers. Within the CEN member states (European Committee for Standardization), the so-called Eurocodes form the basis of the design and verification of the load-bearing capacity of structures. Current Eurocodes do not contain special recommendations for existing structures, meaning that the principles for new structures are applied. This can lead to an incorrect estimation of the load-bearing capacity within the semi-probabilistic safety concept. A central task within the investigation and evaluation of existing structures is the strength grading of the material in situ using non-/semi-destructive technical devices. Studies show the potential of the ultrasonic time-of-flight measurement in combination with visual evaluation for an improved grading. The information on the material from an improved grading technique can be used to update the material parameters as a target variable using a measured reference variable. In this contribution, test data from a partner project (spruce, pine, and oak) are analyzed, applying the stochastic grading model of Pöhlmann and Rackwitz. It can be shown that different grading techniques influence the updated distribution function of the material strength within the grade. The results depend on the timber species. Perspectives to develop updated models dependent on the knowledge available are shown and discussed.
Tree species mixing has been widely promoted as a promising silvicultural tool for reducing drought stress. However, so far only a limited number of species combinations have been studied in detail, revealing inconsistent results. In this study, we analysed the effect of mixing Scots pine and oak (pedunculate oak and sessile oak) trees on their drought response along a comprehensive ecological gradient across Europe. The objective was to improve our knowledge of general drought response patterns of two fundamental European tree species in mixed versus monospecific stands. We focused on three null hypotheses: () tree drought response does not differ between Scots pine and oak, () tree drought response of Scots pine and oak is not affected by stand composition (mixture versus monoculture) and () tree drought response of Scots pine and oak in mixtures and monocultures is not modified by tree size or site conditions. To test the hypotheses, we analysed increment cores of Scots pine and oak, sampled in mixed and monospecific stands, covering a wide range of site conditions. We investigated resistance (the ability to maintain growth levels during drought), recovery (the ability to restore a level of growth after drought) and resilience (the capacity to recover to pre-drought growth levels), involving site-specific drought events that occurred between 1976 and 2015. In monocultures, oak showed a higher resistance and resilience than Scots pine, while recovery was lower. Scots pine in mixed stands exhibited a higher resistance, but also a lower recovery compared with Scots pine in monocultures. Mixing increased the resistance and resilience of oak. Ecological factors such as tree size, site water supply and site fertility were found to have significant effects on the drought response. In the case of Scots pine, resistance was increased by tree size, while recovery was lowered. Resistance of oak increased with site water supply. The observed mixing effect on the tree drought response of Scots pine and oak was in some cases modified by the site conditions studied. Positive mixing effects in terms of resistance and resilience of oak increased with site water supply, while the opposite was found regarding recovery. In contrast, site fertility lessened the positive mixing effect on the resistance of Scots pine. We hypothesise that the observed positive mixing effects under drought mainly result from water- and/or light-related species interactions that improve resource availability and uptake according to temporal and spatial variations in environmental conditions.
Targeted Selective Treatment (TST) is one approach to slow down the development of anthelmintic resistance. Its success is closely linked to the correct identification of animals in need of treatment. In dairy goats it has been proposed to use milk yield as TST indicator and to focus treatments on high yielding dairy goats. In dairy sheep the relationship between milk performance and infection with gastrointestinal nematodes (GIN) is not well known. The aim of this study was to investigate the relationship between milk yield and GIN infection in dairy sheep and based on this, to evaluate milk performance data as a potential TST indicator. Overall 1159 Lacaune ewes of 15 dairy sheep farms in Switzerland were included in the study. The ewes were phenotyped once between August and December 2019, when they were at least 70 days in milk (DIM). Individual faecal samples were taken from every ewe to determine the nematode egg concentration per gram faeces (EPG). In addition, the clinical parameters FAMACHA score and packed cell volume (PCV) were measured. Linear mixed models were used to analyse the effects of the collected parameters on EPG. EPG increased significantly with increasing test day milk yields (P = 0.002), indicating high yielding ewes to be less resistant to GIN infections than low yielding ewes. The effect was most pronounced in earlier lactation but remained within a moderate range. Overall, our results indicated the potential of using milk yield data of rather early lactation as TST indicator in dairy sheep. On farms with predominantly H. contortus the combination with FAMACHA might improve the correct identification of highly infected ewes, as FAMACHA was correlated with EPG (r = 0.37, P < 0.001).
We explore here our mechanistic understanding of the environmental and physiological processes that determine the oxygen isotope composition of leaf cellulose (δ18Ocellulose) in a drought-prone, temperate grassland ecosystem.
A new allocation-and-growth model was designed and added to an 18O-enabled soil–vegetation–atmosphere transfer model (MuSICA) to predict seasonal (April–October) and multi-annual (2007–2012) variation of δ18Ocellulose and 18O-enrichment of leaf cellulose (Δ18Ocellulose) based on the Barbour–Farquhar model.
Modelled δ18Ocellulose agreed best with observations when integrated over c. 400 growing-degree-days, similar to the average leaf lifespan observed at the site. Over the integration time, air temperature ranged from 7 to 22°C and midday relative humidity from 47 to 73%. Model agreement with observations of δ18Ocellulose (R2 = 0.57) and Δ18Ocellulose (R2 = 0.74), and their negative relationship with canopy conductance, was improved significantly when both the biochemical 18O-fractionation between water and substrate for cellulose synthesis (εbio, range 26–30‰) was temperature-sensitive, as previously reported for aquatic plants and heterotrophically grown wheat seedlings, and the proportion of oxygen in cellulose reflecting leaf water 18O-enrichment (1 – pexpx, range 0.23–0.63) was dependent on air relative humidity, as observed in independent controlled experiments with grasses.
Understanding physiological information in δ18Ocellulose requires quantitative knowledge of climatic effects on pexpx and εbio.
This article explores how locally oriented organic businesses adapt to handle crises during a growth process to build resilience, how these businesses maintain the local orientation when growing and what the implications are for the relationship between territoriality and organic production. We explored four cases of organic businesses in Sweden, Norway, Germany and Austria. The cases can be described as Values-based Territorial Food Networks. All cases experienced challenges and crises during their growth processes and sought to provide stability and flexibility in order to deal with change. The restructuration process required internalising learning into their organisations, using diversity in a strategic way and forming long-term partnerships within their value chains. While organic certification was never at stake, the meaning of ‘local’ shifted in some of the cases.
Vertical integration is a means of increasing market power. For some agricultural products, it is easier for farmers to exert control over their product beyond the farm gate, but for others it is more difficult. Cases in the latter category have two main characteristics. First, the farmer cannot sell the respective product to final consumers without processing. Second, processing is capital-intensive. Consequently, farmers have limited sales channels, and vertical integration of the supply chain is complex and challenging. It implies cooperation among farmers to process the raw material at a profitable scale and to finance the installation of processing facilities. Thus, for these product categories, farmers are prone to market power issues, since they depend on private businesses that have the financial means to install processing facilities and the logistical capacities to organize the collection of large amounts of raw material. This paper aims to identify and analyze the role of supply chain integration for farmers who are already cooperating horizontally. Two case studies serve as the basis for the analysis: sugar beet in Flanders, Belgium, and oilseed rape in Hessen, Germany. The analysis is based on a qualitative research approach combining interviews, focus groups, and workshops with farmers and processors. While for sugar beet, the effects of market power are emerging only now with the termination of the quota system, farmers growing oilseed rape have been experiencing these problems since the 1990s. Our analysis concludes that most strategies to maintain or improve farm income have been exhausted. Even various forms of vertical integration supported by European policies do not necessarily work as a successful strategy.
Biodiversity is a cornerstone of human health and well-being. However, while evidence of the contributions of nature to human health is rapidly building, research into how biodiversity relates to human health remains limited in important respects. In particular, a better mechanistic understanding of the range of pathways through which biodiversity can influence human health is needed. These pathways relate to both psychological and social processes as well as biophysical processes. Building on evidence from across the natural, social and health sciences, we present a conceptual framework organizing the pathways linking biodiversity to human health. Four domains of pathways—both beneficial as well as harmful—link biodiversity with human health: (i) reducing harm (e.g. provision of medicines, decreasing exposure to air and noise pollution); (ii) restoring capacities (e.g. attention restoration, stress reduction); (iii) building capacities (e.g. promoting physical activity, transcendent experiences); and (iv) causing harm (e.g. dangerous wildlife, zoonotic diseases, allergens). We discuss how to test components of the biodiversity-health framework with available analytical approaches and existing datasets. In a world with accelerating declines in biodiversity, profound land-use change, and an increase in non-communicable and zoonotic diseases globally, greater understanding of these pathways can reinforce biodiversity conservation as a strategy for the promotion of health for both people and nature. We conclude by identifying research avenues and recommendations for policy and practice to foster biodiversity-focused public health actions.
Kettle holes are small water bodies of glacial origin which mostly occur in agricultural landscapes. They provide numerous ecosystem services (ES), but their supply may be negatively affected by agricultural management. We conducted a literature review to identify which ES are supplied by kettle holes and to analyze feedbacks with agricultural management. Taking Germany as a test case, we also analyzed how kettle holes are addressed in policy documents and for which ES they are regulated. This was done to identify the societal value officially associated with kettle holes. The literature review found eight ES attributed to kettle holes, of which hydrological cycle and flood control, chemical condition of freshwaters, nursery populations and habitats and biotic remediation of wastes were addressed most often. In contrast, only the provision of habitat service was addressed in German policy documents related to kettle holes. We identified types of agricultural management that negatively affected the supply of ES by kettle holes, in particular artificial drainage, high levels of pesticide and fertilizer application, and management where tillage and erosion result in elevated sediment inputs. Additionally, climate change may lead to an increased drying up of kettle holes. Based on our finding, we conclude that the intensity of agricultural management around kettle holes threatens the supply of all ES while only the service of providing habitats for biodiversity is addressed in German policy regulations. Further regulation is required to induce agricultural management change towards a conservation of all ES supplied by kettle holes.
Irrigated agriculture is essential to satisfying the globally increasing demand for food and bio-based products. Yet, in water scarce regions, water-use for irrigation aggravates the competition for the use of water for other purposes, such as energy production, drinking water and sanitation. Solutions for sustainable food production through irrigated agriculture require a systemic approach to assess benefits and trade-offs across sectors. Here, the water–energy–food (WEF) nexus has become an important concept in natural resource management. It has been conceptualized to analyze linkages and trade-offs between the three sectors, across temporal and spatial scales. However, the concept has so far mainly been conceptual, with little empirical evidence or proof of concept in real world cases. The objective of this paper was to take stock of the rapidly advancing literature on the WEF nexus in irrigated agriculture, and to analyze how the concept was actually implemented in research studies, and how the nexus between water, food and energy was actually dealt with. The study period ranges from 2011 to 2019, and includes 194 articles. Results showed that the WEF nexus is indeed very relevant in irrigated agriculture, and the respective literature makes up one third of all WEF nexus papers. Modeling and empirical research have caught up with conceptual synthesis studies during the last four years, thereby indicating that the WEF nexus concept is indeed increasingly operationalized. However, most studies addressed the WEF nexus from a perspective of either socioeconomic, technological or environmental categories, and they place one of the dimensions of water, food or energy into the foreground. To address sustainable development, there is a need to fully integrate across research disciplines and thematic dimensions. Such studies are only starting to emerge. These findings are an important evidence-base for future WEF nexus research on irrigated agriculture, in support of sustainable solutions for water scarce regions, especially in settings undergoing transformations.
A number of tools and models have been developed to assess farm-level sustainability. However, it is unclear how well they potentially incorporate ecosystem services (ES), or how they may contribute to attaining the United Nations Sustainable Development Goals (SDGs). Understanding how farm-level assessment tools and models converge on these new paradigms of sustainability is important for drawing comparison on sustainability performances of farming systems, conducting meta-analyses and upscaling local responses to global driving forces. In this study, a coverage analysis was performed for several farm-level sustainability assessment (SA) tools (SAFA, RISE, KSNL, DLG) and models (MODAM, MONICA, APSIM), in regard to their potential for incorporating ES and contribution to attaining the SDGs. Lists of agricultural-relevant CICES classes and SDG targets were compiled and matched against the indicators of the tools and models. The results showed that SAFA possessed the most comprehensive coverage of ES and SDGs, followed by RISE and KSNL. In comparison to models, SA tools were observed to have a higher degree of potential for covering ES and SDGs, which was attributed to larger and broader indicators sets. However, this study also suggested that, overall, current tools and models do not sufficiently articulate the concept of ecosystem services.
Plant Defense Proteins as Potential Markers for Early Detection of Forest Damage and Diseases
(2021)
Over the last two decades, European forest ecosystems have been exposed to increasing stress associated with an increasing number, duration and severity of extreme events triggered by climate change (Dyderski et al., 2018). For forest plants, the concomitant stresses are not limited to direct detrimental effects of rising temperatures, drought and heavy rainfall, but also include enhanced virulence of native plant pathogens and herbivores and the introduction of new pests (Stenlid and Oliva, 2016). The detection of forest diseases at an early stage, when visible symptoms cannot yet be observed, is a crucial prerequisite to counteract regional spreading of pathogens. However, the effective monitoring of forest damage and diseases requires reliable and easy-to-use portable test systems.
This study provides a first attempt to describe the historical distribution and movement patterns of selected large herbivore (LH) species in Limpopo National Park (LNP), an area in Mozambique today connected to a network of transboundary conservation areas. Between 1976 and the early 2000s, most LH species were absent in this area following the civil war in Mozambique followed by intense poaching due to weak law enforcement capacity. Through the reconstruction of the historical and current distribution and movement patterns of seven LH species in five periods, we investigate possible changes in distribution and movement patterns over time. Data collection is based on a systematic literature search, censuses reports, online databases, dung count transects, and camera trap surveys. We mapped all LH observations and movements using ArcGIS 10.1. Our results reveal a dramatic collapse of LH populations between the peak of the colonial period and the post-colonial/civil war period (1800–2001), followed by a slight recovery from the post-proclamation of Great Limpopo Transfrontier Park to the current period (2002–2021). While LH population decline applied to all seven species, there are species-specific differences in the process of restoration: African elephant (Loxodonta africana), African buffalo (Syncerus caffer), and plains zebra (Equus quagga) appear to recover to a greater extent than giraffe (Giraffa camelopardalis), eland (Tragelaphus oryx), blue wildebeest (Connochaetes taurinus), and white rhino (Ceratotherium simum). We found evidence of the functioning of proposed wildlife corridors in the LNP. The results give reason to assume that restoration of populations of LH is still in a very early and vulnerable state and that further efforts are necessary to strengthen the slowly increasing populations of LH. Our results highlight the importance of combining past and current data as a guide for the restoration of threatened species in African savannas impacted by human activities.
Behavioral traits play a major role in the successful adaptation of wildlife to urban conditions. We investigated and compared the acoustic behavior of free ranging bats in rural (Havelland, Brandenburg) and urban (Berlin city center) green areas (n = 6 sites) to assess possible effects of urbanization on bat vocalizations using automated real-time recordings from May to October 2020 and 2021. We show that foraging and social call activity of commonly occurring bat species was lower in urban areas compared to rural areas. We present data on rural-urban variation in acoustic parameters of echolocation and Type D social calls (produced during flight) using the example of the common pipistrelle Pipistrellus pipistrellus. Calls from urban sites revealed significantly higher end and peak frequencies compared to rural site calls. In addition, urban social calls present a higher degree of complexity as they structurally differed from rural social calls with regard to assemblage and number of call components. Moreover, urban social calls were emitted in a presumably different context than rural calls: antagonistic social calls in urban areas were detected throughout the year and in the acoustic absence of conspecifics and heterospecifics. Our results provide evidence for the ability of P. pipistrellus to modulate temporal and spectral features of echolocation and social calls, as well as patterns of social call production, in order to compensate for constraints imposed by the urban acoustic environment. We suggest that this acoustic behavioral plasticity plays a major role in the degree of adaptation of insectivorous bats to urban habitats.
Here, we address the question of if/to what extent human–wildlife conflict (HWC) can be reduced or mitigated by supra-regional or even global approaches, or whether case- and region-specific strategies are necessary. First, we try to shift the perspective from humans towards wildlife and regard modern era (near) extinctions of selected wildlife species as an ultimate expression of HWC. We then reflect on the legitimacy of ecosystem comparisons beyond the borders of biogeographical regions—an important prerequisite for global approaches. In the following, we present two case scenarios that exemplarily illustrate the topic from different perspectives: carnivore–livestock conflicts (classical view, human perspective) and wind turbine-induced mortality of bats (wildlife perspective, rarely regarded as a form of HWC). On this basis, we try to develop a framework that enables a global approach, while adequately considering case- and region-specificity. We think that a globally valid and generally approachable dimension can be defined, as long as there is a natural link: in the present case the established monophyly of the orders Carnivora and Chiroptera, i.e., representatives descending from common ancestors, thus sharing common ecological features. This natural relationship among all representatives of a systematic group (specification of the “wildlife” concept) is key for the development of an overarching strategy that can be adjusted to a specific case.
This study is the first systematic assessment of large herbivore (LH) communities in Limpopo National Park (LNP) in Mozambique, an area where most LH species were extinct until the early 2000s. We investigate whether LH community parameters are linked with the availability of habitat types or the distance between sampling sites and the origin of LH resettlement. We placed camera traps in five habitat types in resettled and not-resettled areas to compare species richness, relative abundance index, grazers–browsers–mixed feeder and naïve occupancy of 15 LH species. While the richness decreased along the distance gradient of LH resettlement, relative abundance index strongly responded to habitat features. The grazer–browser–mixed feeder ratio oscillated, while from resettled to not-resettled areas, the ratio increased. Most species show a wide distribution range. The associations of most LH community parameters with habitat types rather than distance to initial release, together with the species-specific and guild-specific response patterns of LH, suggest LNP to already be in an intermediate stage of restoration. Our results highlight the importance of post-release monitoring of reintroduced wildlife as a tool to assess the success of ecological restoration initiatives in transboundary conservation areas.
This paper deals with reflections that arose after observing prehistoric rock engravings at different locations in Namibia. These observations stimulated comparative considerations with focus on southern Africa and central Europe. Similar to the Aurignacian rock art of European origin, the most common motifs in the Namibian rock engravings are large animals. While in Europe, the species that served as a blueprint for the illustration of Aurignacian rock art have mostly disappeared, the megafauna illustrated on the rock engravings in Namibia can still be found in the immediate vicinity of the rock art. Against this background, we discuss and further develop a comparative regional approach. We reconstruct and evaluate the suitability of African savannas and still-existing megafauna communities as an appropriate reference-frame for natural European grassland systems and extinct associated warm-adapted megafauna (Eemian Interglacial megafauna). Special attention is laid on the unique situation in Africa in the light of a global extinction wave of megafauna following increasing human activity in the Late Quaternary. This leads us to discuss the use of domesticated ungulates as surrogate taxa to fulfill ecosystem functions in Europe as part of concepts termed “rewilding” or “naturalistic grazing”. After critically examining these concepts, we conclude that using domesticated forms as representatives of extinct or locally disappeared species in Europe has its justification to some extent. If, however, the naturally occurring megaherbivore community still exists (Africa), these naturally occurring species should be given priority due to their organismic abilities and limitations adapted to the harsh conditions in their specific environment. Finally, we discuss the application of (transboundary) protected areas as effective instruments to mitigate human-wildlife conflicts. A holistic approach, including nature conservation and preservation of cultural achievements (domesticated forms, grazing systems), appears promising for the effective protection of the natural African savanna ecosystems with their unique fauna elements, as illustrated in rock engravings that inspired us to write this paper.
Movement behavior and habitat use of the long-eared bat species Plecotus auritus and Plecotus austriacus were studied in the Havelland region in Brandenburg (Germany). Data collection included mist-netting, radiotelemetry, reconstruction of prey items, and monitoring of roosting sites. Body measurements confirm a high degree of phenotypic similarity between the two species. Total activity areas (100% Minimum Convex Polygons, MCPS) of Plecotus austriacus (2828.3 ± 1269.43 ha) were up to five-fold larger compared to Plecotus auritus (544.54 ± 295.89 ha). The activity areas of Plecotus austriacus contained up to 11 distinct core areas, and their mean total size (149.7 ± 0.07 ha) was approximately three-fold larger compared to core areas of Plecotus auritus (49.2 ± 25.6 ha). The mean distance between consecutive fixes per night was 12.72 ± 3.7 km for Plecotus austriacus and 4.23 ± 2.8 km for Plecotus auritus. While Plecotus austriacus was located most frequently over pastures (>40%) and meadows (>20%), P. auritus was located mostly within deciduous (>50%) and mixed forests (>30%) in close vicinity to its roosts. Roost site monitoring indicates that the activity of P. austriacus is delayed relative to P. auritus in spring and declined earlier in autumn. These phenological differences are probably related to the species’ respective diets. Levins’ measure of trophic niche breadth suggests that the prey spectrum for P. auritus is more diverse during spring (B = 2.86) and autumn (B = 2.82) compared to P. austriacus (spring: B = 1.7; autumn: B = 2.1). Our results give reason to consider these interspecific ecological variations and species-specific requirements of P. auritus and P. austriacus to develop adapted and improved conservation measures.
Agrobiodiversity is the foundation of our ecosystems and food supply. However, agrobiodiversity is declining rapidly. A prominent strategy to safeguard endangered varieties, an important component of agrobiodiversity, is their cultivation and preservation in their natural environments. In order to make the cultivation of these varieties attractive to farmers, a functioning value chain and communication concepts for these goods have to be developed. Using heirloom vegetable varieties as an example, we examine existing communication approaches for endangered varieties and evaluate their suitability to transport their added value to organic consumers. We furthermore examine organic consumers’ purchasing motives to buy heirloom vegetable varieties. We collected data in three focus group discussions in Berlin (Germany) in 2018. This exploratory study shows that existing communication approaches for heirloom vegetable varieties strongly appeal to altruistic and biospheric purchasing motives. However, our results suggest that egoistic and hedonic purchasing motives are just as important to organic consumers. Hence, existing communication approaches for heirloom vegetable varieties, including the “Red List of Endangered Local Crops”, are not entirely suitable to communicate the added value of biodiversity-enhancing products to consumers. Based on these results, we will develop a holistic communication scheme for heirloom vegetable varieties for organic supermarkets and further distribution channels in Germany.
Global climate change is expected to further raise the frequency and severity of extreme events, such as droughts. The effects of extreme droughts on trees are difficult to disentangle given the inherent complexity of drought events (frequency, severity, duration, and timing during the growing season). Besides, drought effects might be modulated by trees’ phenotypic variability, which is, in turn, affected by long-term local selective pressures and management legacies. Here we investigated the magnitude and the temporal changes of tree-level resilience (i.e., resistance, recovery, and resilience) to extreme droughts. Moreover, we assessed the tree-, site-, and drought-related factors and their interactions driving the tree-level resilience to extreme droughts. We used a tree-ring network of the widely distributed Scots pine (Pinus sylvestris) along a 2,800 km latitudinal gradient from southern Spain to northern Germany. We found that the resilience to extreme drought decreased in mid-elevation and low productivity sites from 1980–1999 to 2000–2011 likely due to more frequent and severe droughts in the later period. Our study showed that the impact of drought on tree-level resilience was not dependent on its latitudinal location, but rather on the type of sites trees were growing at and on their growth performances (i.e., magnitude and variability of growth) during the predrought period. We found significant interactive effects between drought duration and tree growth prior to drought, suggesting that Scots pine trees with higher magnitude and variability of growth in the long term are more vulnerable to long and severe droughts. Moreover, our results indicate that Scots pine trees that experienced more frequent droughts over the long-term were less resistant to extreme droughts. We, therefore, conclude that the physiological resilience to extreme droughts might be constrained by their growth prior to drought, and that more frequent and longer drought periods may overstrain their potential for acclimation.
Background: Agroforestry systems have the potential to provide timber and wood as a domestic raw material, as well as an additional source of income for rural populations. In Central Asia, tree windbreaks from mainly poplar trees have a long tradition, but were largely cut down as source for fuel wood after the disintegration of the Soviet Union. As Central Asia is a forest-poor region, restoration of tree windbreaks has the potential to provide timber and wood resources to that region. This study aimed to assess the potential of tree windbreaks to contribute to domestic timber and wood production. Methods: This study rests on a GIS-based analysis, in which tree lines (simulated by line shape files) were intersected with cropland area. The tree data to calculate timber and wood volumes stem from a dataset with 728 single trees from a relevant range of climatic conditions. Results: The potential annually available timber volumes from tree windbreaks with 500 m spacing are 2.9 million m3 for Central Asia as a whole and 1.5 million m3 for Uzbekistan alone, which is 5 times the current domestic roundwood production and imports of the country. Conclusions: tree windbreaks offer untapped potential to deliver wood resources domestically as a raw material for wood-based value chains.
Analyzing the sustainable development of a given region can provide an important reference and guide for future orientation. The study selects Turpan (including Gaochang District, Shanshan County, and Toksun County) in Xinjiang Uygur Autonomous Region of Northwest China as the study area and first investigates the essence of regional sustainable development. Based on the relevant data of the population, economy, and environment of Turpan from 2002 to 2018, we constructed an evaluation index system for three dimensions, namely, the population, economy, and environment, and analyzed them systematically. Specifically, we quantitatively calculated the comprehensive evaluation index, coupling degree, and coupling coordination degree of the sustainable development system of the study area. The study finds that Turpan has on some dimensions become increasingly sustainable, especially the economic development level has improved. The results show that the coupling coordination degree has increased from 0.3692 to 0.8894 during the period 2002–2018, which reflects the actual situation of Turpan and indicates that the proposed analysis method can effectively measure and evaluate the level of sustainable development in this region. Moreover, the study also puts forward main functional zoning of Turpan (i.e., Gaochang District as an optimized development zone, Shanshan County as a major agricultural production zone, and Toksun County as a key ecological function zone) and regional planning principles based on the population, economic, and environmental coupling analysis for the three jurisdictions in Turpan.
Crop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux-related performance of a set of crop models. The aim was to predict weighing lysimeter-based crop (i.e., agronomic) and water-related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014–2018) were from the Dedelow (Dd), Bad Lauchstädt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop- and soil-related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi-model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site-specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil-related data (i.e., water fluxes and system states) when simulating soil–crop–climate interrelations in changing climatic conditions.
Materialwissenschaftliche Analyse des Abbindeverhaltens von Holzklebstoffen am Beispiel von 1K-PUR
(2020)
Das Abbinden von Holzklebstoffen wird bisher anhand von Parametern bewertet, die kaum eine prozesstechnische Optimierung ermöglichen. Mithilfe von Oszillationsmessungen und einem an dem Klebeprozess angepassten Versuchsaufbau kann dieser jedoch detailliert erfasst werden. Am Beispiel durchgeführter Timesweep-Messungen kann der Klebeprozess in charakteristische Bereiche molekularer und struktureller Abläufe eingeteilt werden. Diese Methode wird anhand eines Polyurethan-Prepolymers zum Fügen von Holzwerkstoffen dargestellt und analysiert.
The productivity of forest ecosystems depends on the supply of both nutrients and water by soils. Therefore, the knowledge of the chemical and physical soil properties is crucial for assessing the soil
condition as well as the quality of forest sites. For this purpose, data are available from two nationwide Forest Soil Inventories (NFSI) on more than 1,800 sample plots of an 8 x 8 km grid. The inventories were conducted between 1986 and 1994 (NFSI I) and 2006 and 2009 (NFSI II) in accordance with harmonized surveying techniques. The LUCAS Project aims at the development of a harmonized dataset on land cover
and land use within the European Union (EU). Approximately 265.000 georeferenced plots on a 2 x 2 km grid were available from the European Soil Data Centre (ESDAC). Soil samples were taken in 2009 and in 2015 at approximately 10 % of these plots at the same locations. Considering two almost parallel running soil inventories, questions have arisen to their potential links to one another. In this study, the LUCAS soil data from the 2015 inventory were compared with the corresponding NFSI II data and reviewed under the aspect of representativeness. In order to enable an area weighted estimation for Germany the plots of the LUCAS program were attributed to the same 16 soil parent material groups used in the German NFSI data
using geographical coordinates. All classes were tested for significant and systematic differences between the inventories. To quantify C stocks, it is important to compare the depth level 0-20 cm of the LUCAS program to Germanies NFSI sampling scheme, where data available for the organic layer and the mineral soil down to 90 cm. The comparison of various chemical soil parameters showed clear differences between the inventories. The pH(H2O) and the C/N ratio derived from LUCAS 2015 was lower while carbon (C) and nitrogen (N) concentrations were higher compared to the NFSI II. The C and N stocks deviate even more from the NFSI II due to uncertainties in the estimation of bulk densities derived from maps. By contrast
Germany’s NFSI, were volume-based sampling was obligatory for almost all plots. As a result, fine earth stock estimates from map derived bulk densities could result in highly uncertain and overestimated stocks change rates. Higher C and N concentrations of the LUCAS inventory could be attributed to an insufficient separation of the organic layer from the mineral soil because if the separation is not practiced carefully, residues of the organic layer can contaminate the mineral soil sample and cause significant higher concentrations. The soil sampling of the NFSI focused explicitly of the systematic separation of both compartments. The number of the sampled forest plots of LUCAS 2015 showed a lack of representativeness because in the northern and southern parts of Germany an insufficient number of plots were sampled. Nevertheless, the proportion of the forest area of the total LUCAS inventory is comparable with Germany’s Third National Forest Inventory. The selected LUCAS 2015 samples comprise 25 % of the NFSI II plots which results in an insufficient coverage of various soil groups. This means that soil properties remain unconsidered and that the area-weighted extrapolation could become more difficult. Chemical soil parameter within in individual substrate groups differed between the sampling grids due to the smaller sample of LUCAS 2015 compared to the NFSI II. Moreover, the reduction of sampling plots results in an increase of uncertainties. Thus, the detection of changes in soil conditions could be more difficult in respect to repeated sampling. Soil inventory data are of importance in greenhouse gas reporting because C stocks the organic layer and the mineral soil down to 90 cm must be reported. The analysis of the NFSI II revealed
that the organic layer comprises 16 % of the C stored in the entire soil profile. The organic layer was not sampled in the LUCAS inventory. Nevertheless, changes in C stored in the organic layer is vulnerable to impacts of climate and other environmental and anthropogenic variables but the effects cannot be considered with LUCAS 2015. Due to the LUCAS 2015 mineral soil sampling depth down to 20 cm only 42 % of the stored C was detected in the entire soil profile. Therefore, data based on LUCAS 2015 are insufficiently qualified for the greenhouse gas reporting due to the lack of a sampled organic layer and the limitation to the sampling depth of 20 cm. Compared to Germany’s NFSI, the results based on the LUCAS
inventory revealed a smaller representativity and were associated with larger uncertainties as well as discrepancies. Consequently, the union of both data sets will not result in additional synergies.
The partitioning of bulk precipitation (PR) in forest ecosystems and its chemical composition depends on both meteorological factors, such as precipitation amount and intensity, evaporation rate, and wind speed, and stand structural factors, such as stand density, canopy structure, bark texture, and spatiotemporal distribution and density of foliage. We analysed fluxes of water and element contained therein of a mature European beech (Fagus sylvatica L.) forest stand on sandy soils in northeastern Germany. We applied a radially symmetrical setup within a stem distance gradient to measure stand precipitation (SP) with its components of throughfall (TF) and stemflow (SF), as well as to measure soil moisture, the chemical composition of the soil solution, the soil chemistry, and the fine root distribution. The chemical analysis of the constituents covered the macroelements (Ca, Mg, K, Na, Al, Fe, Mn, Si, S, P), the cations and anions NH4+, NO3–, Cl-, SO42-, and a few heavy metals (Cu, Pb, Zn). With an average PR of 620 mm a-1, the partitioning resulted in 79% TF, 6% SF, and 15% canopy interception. TF volume increased with distance to stem during summer, but decreased during winter. Clear spatial gradients with increasing concentrations from PR, to different classes of TF as the distance from the trunk decreased, to SF were observed for nearly all elements. The contact of precipitation with leaves and the canopy structures alters the chemical composition of TF and SF by transferring elements from dry deposition or leaching of intracellular materials from the canopy and leads to the input of larger amounts of macroelements and heavy metals with the SP into the soil. Spatial patterns of canopy structures thus affect the spatial variation of TF and its constituents, which also affects the spatial distribution of roots and, at least in phases, the chemical composition of the topsoil solution.
Nowadays regional data on forest soil properties are increasingly demanded for various questions concerning forest management practices like tree species selection, liming, harvest intensity or the detection of risk areas. Thus data related to climate change and its site specific drought effects on one hand and current soil nutrient status on the other is especially required to support decision making. Besides soil texture, soil organic carbon is one of the most important key factors controlling soil nutrient status (eg. cation-exchange capacity) and soil water storage (e.g. field capacity) in the glacial deposits of north eastern lowlands. In contrast to soil texture, which can be considered as stable over periods relevant to practical forest management, for mapping soil organic carbon and its distribution throughout the soil profile a more dynamic regionalization approach considering contemporary measurements is needed. For this purpose, data on contemporary soil organic carbon stocks is taken from the second National Forest Soil Inventory and additional regional sampling points in Brandenburg (Germany). Potential covariates representing the soil forming factors: parent material, organisms (vegetation), age, relief and climate are obtained with high spatial resolution from forest site mapping, forest inventory, digital terrain analysis and climate models. The proposed regionalization approach captures the concepts of SCORPAN modelling and depth functions. While for estimation of carbon stocks in the entire soil solum stepwise regression analysis and geostatistical techniques are involved, the methodology to derive and map relative depth functions is based on cluster analysis and classification tree approach. The intended benefits by splitting regionalisation into plot level and relative vertical depth gradients are to ensure consistency of solum stocks and single soil depths and to avoid the construction of artificial depth gradients. Furthermore, the procedure allows a straightforward interpretation of covariates in the sense of pedogenetic processes, which: (a) supports variable selection and exclusion of spurious covariates during model development and (b) may provide direct decision support regarding environmental and management effects on soil organic carbon. The obtained statistical models contain covariates related to all five soil forming factors. But, the conducted analyses especially point towards high influences of depth to groundwater table and mean slope of catchment area on soil organic carbon storage. Invoking geostatistical techniques shows no remaining variation, to be explained by spatial position and thus don’t improve overall model performance. Cluster analysis of relative depth gradients results in five Clusters of acceptable heterogeneity. The highest differences between the clusters are observed across the portions of carbon stored in the forest floor. Relative depth gradients are especially distinguished by tree species composition and stand age.
To cope with the challenges in forest management that are contemporarily caused by climate change, data on current chemical and physical soil properties are more and more necessary. For this purpose, we present a further amalgam of depth functions and SCORPAN modelling to provide data at arbitrary depth layers. In this concept, regionalisation is split up into the modelling of plot totals and the estimation of vertical distributions. The intended benefits by splitting up are: consistency between estimates on plot level and depth layer level, avoidance of artificial depth gradients, straightforward interpretation of covariates in the sense of pedogenetic processes, and circumnavigation of the propagation of uncertainties associated with separation between horizons during field sampling. The methodology was tailored to the circumstances within the north-eastern lowlands and the utilisation of current inventory data of the National Forest Soil Inventory (NFSI) in Brandenburg (Germany). Using the regionalisation of soil organic carbon (SOC) as an example, the application is demonstrated and discussed in detail. The depth to groundwater table and terrain parameters related to the catchment area were the main factors in SOC storage. The use of kriging did not improve the model performance. The relative depth gradients of SOC were especially distinguished by tree species composition and stand age. We suppose that interesting fields of application may be found in scenario-based modelling of SOC and when SOC serves as a basis for hydrological modelling.
An important component of the National Forest Soils Inventory (NFSI) is the investigation of inorganic and organic pollutants. Forests are able to filter out large quantities of these substances from the atmosphere and incorporate them into the soil for a long time. The aim of this study was the integrative evaluation of organic and inorganic pollutant concentrations in forest soils in the state of Brandenburg, Germany. With the help of principle component analysis, the pollutant concentrations can essentially be explained by three significant environmental components, which explain 76% of the total variance of all pollutants examined within the scope of the NFSI. The first component characterizes the extent of the atmospheric pollution caused by flue gases and fly ash from lignite combustion in the 1970s and 1980s and is mainly charged by the organic pollutants HCB and PAH, and the elements arsenic and chromium. This component shows positive relation to both spatially interpolated calcium-deposition data from the 1980s (as an indicator for the dust emission from coal combustion) and crown defoliation data of pine stands from the forest condition survey in the early 1990s. The depositions of zinc and cadmium from industrial sources, vehicle traffic and the use of fertilizers in agriculture mainly characterize the second principle component. The use of the pesticides DDT and lindane in the early 1980s and the associated pollutants input into the forest soils are expressed by the third component. In expanding the term archiving function of soils, the results illustrate their particular importance for the long-term archiving of anthropogenic inputs and the associated potential stress factors for forests.
Calls for a “sustainable bioeconomy” have recently begun to proliferate in academic and political circles as an answer to global challenges such as the rapidly increasing world population and changing environmental conditions due to climate change. To build economies that rely on various sources of biomass rather than on fossil-based resources, bioeconomy policies highlight a need to explore ways in which productivity in agriculture can be increased. While the focus on productivity growth has largely been inspired by technology optimism and modernisation thinking, the local knowledge of farmers and other rural stakeholders – as a means of contributing to socially and ecologically more sustainable bioeconomy pathways – has frequently been sidelined. This perspective article proposes and discusses a participatory approach to strategy formulation and evaluation in agricultural transformation and bioeconomy development that is based on the methodological toolbox MARISCO (Adaptive MAnagement of vulnerability and RISk at COnservation sites). By offering a means of developing a comprehensive knowledge map, bringing together both insights and perspectives from diverse local stakeholders, this approach enables a systemic evaluation of the social and ecological effects of intervention strategies on the ground. The article outlines the benefits – and challenges – of such a systemic and participatory approach and briefly sketches how the results can be utilised in more sustainable governance processes in the development of bioeconomy strategies. We conclude that our adapted MARISCO methodology offers a viable tool to make more visible the perspectives and knowledge of biomass producers for policymakers and to contribute to a much-needed discursive shift in bioeconomy debates towards more holistic and inclusive perspectives.
The COVID-19 pandemic has jolted societies out of normality, possibly creating new conditions for sustainability transformations. What does this mean for sustainability research? Because of the scope of the crisis, researchers have been heavily involved: not only have they had to speed up the pace of scientific production to provide urgently needed COVID-19 knowledge, but they have also been affected citizens. For sustainability science, this calls for an experience-based reflection on the positionality and orientation of research aiming to support sustainability transformations. Twenty sustainability researchers discussed their sustainability research on COVID-19 in three workshops based on the following questions: How does the pandemic—and the measures taken to deal with it—affect sustainable development? What can we learn from the pandemic from the perspective of societal transformation? The present discussion paper emerged from this multidisciplinary exchange among sustainability researchers, considering five topics: impacts of the COVID-19 crisis on sustainability transformations; learning for sustainability transformations; the role of solidarity; governance and political steering; and the role of science in society. Our discussions led to a meta-level reflection on what sustainability research can learn from research on COVID-19 regarding topics and disciplinary angles, time dimensions, the role of researchers, and how adequate preparation for both crises and long-term transformations requires interdisciplinary interaction.
The charcoal stock in a forest company is controlled based on the theoretical capacity of the masonry ovens (input) and shipped trucks (output). During the year, the company must monitor the stock for the purposes of accountability reports. This study proposes a more efficient and equally precise survey method that overcomes the challenges of the common monitoring system in Brazil. During this study, a new monitoring method based on digital stereoscopy from UAV images was developed, implemented and evaluated. The results were compared with a traditional topographic survey. A masonry oven's complex containing eight charcoal heaps was flown and surveyed using a multi-engine UAV, with an integrated Global Navigation Satellite System (GNSS) and RTK equipment. Two stereoscopic processing methods were applied: (1) very low quality and (2) high quality to image alignment, reconstruction of the dense cloud, face count and in three-dimensional mesh creation. Low quality products showed geometric deformities when compared to high quality, but resulted in similar estimation to the topographic survey. The results indicated that the charcoal heaps' volume estimation using UAV derived orthomosaics can replace the conventional method of GNSS RTK surveys with considerable gains in stockpile volume accuracy, inventory frequency, and safety. In the case of high accuracy parameterization, improvements in geometric precision and accuracy are also produced.
High-resolution recording and forecasting of peatlands under forests in northeast Brandenburg (Germany) using remotely sensed data (Radar ALOS-PALSAR and Sentinel 1). Peatlands are important in terms of CO2 storage, water cycling, biochemical cycles, biodiversity, and ecosystem services. Peatlands are constantly altered and damaged due to agriculture and drainage. Thus it is crucial to manage them sustainably. How? First step – locating and quantifying them with geospatial data and remote sensing methods since locating and collecting data in field is highly expensive and arduous in terms of labour and time. Our MAIN RESEARCH QUESTION therefore is: Is it possible to generate a method to record the location of peatlands under forests at high resolution using RS?.
360° virtual forest tours (VFTs), created by state-of-the-art virtual reality technology, contribute to the progression of academic e-learning and forest management. The article proposes a conceptual framework for 360° VFT production and use to supplement field courses. Reflective insights into the authors’ own learning process in the production of 360° VFTs, and a consideration of the general challenges of the medium are also presented. To conclude, the article summarizes the advantages of 360° VFTs for forestry education in an academic context.
Application of Land Surface Temperature Analysis in Urban Green Spaces: Case Studies from South Asia
(2021)
This paper demonstrates the use of remote sensing in planning urban green spaces (UGSs). UGSs emerged as a popular solution to combat the effects of Urban Heat Island, especially in tropical cities. UGS projects often need to identify priority implementation areas due to limited funding for UGSs. This study includes two Asian cities, namely Phnom Penh (Cambodia) and Chittagong (Bangladesh). It is not comparative, but it has identified priority administrative areas for future UGSs in both cities. We used Landsat 8 data and the remote sensing technique Land Surface Temperature (LST) analysis using radiance, temperature brightness and emissivity. LST data were then intersected with the administrative boundaries of the study areas. The identification of priority administrative areas for UGS considered both the area coverage and the percentage of coverage in terms of maximum LST within the administrative units’ boundaries. The result found 8 and 10 administrative units to be hotspots for UGSs, for Phnom Penh and Chittagong respectively. The proposed method will be useful to both government and non-government organizations alike, especially in tropical countries.
The destruction of habitats has not only reduced biological diversity but also affected essential ecosystem services of the Central European cultural landscape. Therefore, in the further development of the cultural landscape and in the management of natural resources, special importance must be attached to the habitat demands of species and the preservation of ecosystem services. The study of ecosystem services has extended its influence into spatial planning and landscape ecology, the integration of which can offer an opportunity to enhance the saliency, credibility, and legitimacy of landscape ecology in spatial planning issues. Objective: This paper proposes a methodology to detect red deer habitats for e.g. huntable game. The model is established on remote sensing based value-added information products, the derived landscape structure information and the use of spatially and temporally imprecise in-situ data (e.g. available hunting statistics). In order to realize this, four statistical model approaches were developed and their predictive performance assessed. Methods: Altogether, our results indicate that based on the data mentioned above, modeling of habitats is possible using a coherent statistical model approach. All four models showed an overall classification of > 60% and in the best case 71,4%. The models based on logistic regression using preference data derived from 5-year hunting statistics, which has been interpreted as habitat suitability. The landscape metrics (LSM) will be calculated on the basis of the Global Forest Change dataset (HANSEN et al. 2013b ). The interpolation of landcover data into landscape-level was made with the software FRAGSTAT and the moving window approach. Correlation analysis is used to identify relevant LSM serving as inputs; logistic regression was used to derive a final binary classifier for habitat suitability values. Three model variations with different sets of LSM are tested using the unstandardized regression coefficient. Results lead to an insight of the effect of each LSM but not on the strength of the effect. Furthermore, the predicted outcome is rather difficult to interpret as different units and scales for each LSM are used. Hence, we calculated the fourth model using the standardized regression coefficient. It harmonized the measurement units of the LSM and thus allowed a better comparison, interpretation, and evaluation.Conclusion: Our research reveals that applying a statistical model using coarse data is effective to identify potential red deer habitats in a significant qualitative manner. The presented approach can be analogously applied to other mammals if the relevant structural requirements and empirical habitat suitability data (e.g. home range, biotopes, and food resources) are known. The habitat preferences of red deer are best described by LSM concerning area-relation and wildlifeedge relations. Most important are edges between meadows, pastures or agricultural field and forest, as well as short paths between those elements for food resources. A large proportion of forest is important for species survival and positively influences the occurrence of red deer. Outcomes help to understand species habitat relation and on which scale wildlife perceives the landscape. In addition, they support the practical habitat management and thus the overall species diversity.
This policy brief introduces preliminary research results of the
Build4People project, funded by the German government as part
of the multi-phase focus programme “Sustainable Development
of Urban Regions”. Furthermore, the research agenda of the
upcoming main four-year Research and Development phase (RD
phase) will be introduced based on insights gained in previous
shorter funding periods. The Build4People research consortium
consists of representatives from four German universities and two
German companies with their respective research, implementation and dissemination partners in the Kingdom of Cambodia.
Build4People’s rationale is based on Phnom Penh‘s dynamic
economic growth, which is coupled with a local urbanisation and
construction boom. However, new buildings and neighbourhoods
are rarely constructed in a sustainable way with direct and
indirect negative environmental impacts. Issues of sustainability
are hardly addressed by decision-makers in the construction
sector, related ministries, city administrations or building users.
The overall aim of the multi- and trans-disciplinary Build4People
project during the RD phase is to support and analyse the
transformative shift in Phnom Penh’s current business-as-usual
urban development pathway towards a pathway with higher
sustainability and liveability levels. The entry points for the
research are the building and neighbourhood planning sectors.
Methods, tools and key instruments to achieve the objectives of
the RD phase are collaborative planning workshops, strategic
niche management approaches, transition management approaches and subsequent experimental implementation. All of these measures will generate applied knowledge for local stakeholders and a basis for evidence-based decision-making.
Urban quality of life as a people-driven approach serves as the
integrating link for all of our scientific, conceptional, analytical
and normative dimensions. During our research, we will jointly
conceptualize, measure and model urban quality of life and
consider its political dimension and its often-ambiguous
relationship to sustainability.
Biodiversity loss is an important topic considering climate change, global warming, and even the reasoning of current and future animal-related diseases, such as the COVID-19 pandemic. Urban biodiversity is also important because of the ecosystem services they provide, restorative benefits for well-being, and physical health of the people who live in urban areas. Each city has its own strategies to cope with this issue, and these strategies do not function without the contribution of habitants of the cities. We developed an index (BBS) of the existing possibilities to support urban biodiversity in Berlin to measure the awareness and willingness of the Berliners to participate and support urban biodiversity. A survey was conducted in a face-to-face situation in four districts of Berlin with 431 urban residents, measuring preference for three different levels of biodiversity, connectedness to residential greenspace, neighborhood and city, nature relatedness, and willingness in participatory actions around greenspace. The results show that the high biodiversity condition in a photo scenario was preferred by most residents, indicating the appreciation for urban biodiversity. The connectedness to the residential greenspace was high (and higher than the connectedness to neighborhood and city), showing large potential for quality of life. While the overall willingness to participate in actions to support urban greenspace was rather high, our index shows substantial differences in activities, which are perceived more or less. This is a key result for urban park management to increase urban biodiversity participation processes.
Im Rahmen eines vom Bundesamt für Naturschutz (BfN) mit Mitteln des Bundesministeriums für Umwelt, Naturschutz und nukleare Sicherheit (BMU) geförderten Erprobungs- und Entwicklungs-(E+E-)Vorhabens „Naturerfahrungsräume in Großstädten am Beispiel Berlin“ wurde in
einer viereinhalbjährigen Begleituntersuchung die Neueinrichtung von Naturerfahrungsräumen (NER) in Berlin wissenschaftlich untersucht.
Das zu Grunde gelegte Konzept der NER für Großstädte in Deutschland knüpft an die Vorarbeiten von Schemel & Wilke (2008) und Stopka & Rank (2013) an. Gegenstand der wissenschaftlichen Begleitung sind die neu eingerichteten Berliner NER „Wilde Welt“ am Spieroweg in Spandau, an der Moorwiese in Pankow und auf dem Kienberg in Marzahn-Hellersdorf. Alle drei untersuchten NER haben einen räumlichen Bezug zu Großwohnsiedlungen. Sie variieren sowohl in ihrer Größe (von 0,54 ha bis 1,58 ha) als auch in ihrer Vegetationsausstattung. Weiterentwicklungen des Konzeptes sind eine Anbindung der Pilotflächen an Einrichtungen der Kinder- und Jugendhilfe sowie die Beschäftigung von Kümmer(er)*innen. Darüber hinaus wurden Erfahrungen in der Einrichtung und im Betrieb bisheriger NER in ganz Deutschland ausgewertet.
Ziel der wissenschaftlichen Begleitung war es, in einem interdisziplinären Ansatz einerseits das Spielverhalten von Kindern in NER sowie die Akzeptanz dieser Räume zu untersuchen.
Andererseits ging es darum, die gesetzlichen und institutionellen Rahmenbedingungen, die für die Einrichtung und den Betrieb der NER förderlich oder hemmend wirken, zu analysieren.
Drittens sollte der Zusammenhang zwischen dem Spielverhalten der Kinder und der Entwicklung von Flora, Vegetation und Fauna auf diesen Flächen untersucht werden, um hieraus Rückschlüsse auf die Größe und Ausstattung von NER und auf die Notwendigkeit pflegerischer Eingriffe ziehen zu können.
In der Begleituntersuchung wurden die drei Arbeitsbereiche Lebensqualität (Spielverhalten, Gesundheitsvorsorge, (pädagogische) Begleitung durch Kümmer(er)*innen, Akzeptanz, Partizipation), Planungsqualität (gesetzliche Rahmenbedingungen, Betreiber*innen-Modelle, Flächengestaltung, Sicherheit und Haftung) und ökologische Qualität (Entwicklung von Flora, Vegetation und Fauna, Nutzungsspuren und Flächenentwicklung, Flächenpflege) unterschieden.
Entsprechend des Umfangs des Untersuchungsgegenstandes kam eine Vielzahl von Erhebungsmethoden zum Einsatz. Für den Bereich Lebensqualität war die Beobachtung des Spielverhaltens von Kindern ein wesentlicher methodischer Baustein. Darüber hinaus wurden Interviews mit relevanten Akteur*innen (Kümmer(er)*innen, Pädagog*innen, Kinder und Eltern) dieses Bereiches geführt.
Im Bereich der Planungsqualität sind mithilfe von Expert*inneninterviews Erkenntnisse über hemmende und fördernde Bedingungen in der Einrichtung und im Betrieb der NER gewonnen
worden. Zusätzlich wurde eine mit der Materie vertraute Anwaltskanzlei hinzugezogen, die den Stand des Wissens zur Bedeutung der Verkehrssicherungspflicht und zu den Möglichkeiten der planungsrechtlichen Verankerung von NER zusammenfassend darstellte.
Für den Bereich der ökologischen Qualität sind in den NER Flora (Gefäßpflanzenarten), Biotoptypen, Vegetationsstruktur und aussagekräftige Tiergruppen (Avifauna, Tagfalter und tag-
aktive Nachtfalter, Heuschrecken und Grillen) über einen Zeitraum von vier Jahren untersucht worden. Die Dokumentation von Trampelpfaden und eine Fotodokumentation des Zustands der Vegetationsentwicklung über die Jahre stellten einen weiteren methodischen Baustein dar.
Im Ergebnis zeigte sich, dass das Spielverhalten von Kindern auf NER wesentlich vielfältiger ist als auf herkömmlichen Kinderspielplätzen. Gerade die natürliche Ausstattung der NER und damit verbunden der Aufforderungscharakter der unterschiedlichen natürlichen Elemente führt zu einem komplexeren Spielverhalten, die Kreativität und Fantasie der Kinder wird gefördert.
Kinder machen nicht nur wichtige und vielfältige Naturerfahrungen, sie werden auch in ihrem Sozialverhalten positiv unterstützt. So profitieren gerade Kinder, die in einer Großstadt aufwachsen, wenig Zugang zur Natur haben und stärker unter dem Natur-Entfremdungssyndrom
leiden, von dem Besuch eines NER. Der Aufenthalt in natürlicher Umwelt wirkt sich auch positiv auf Gesundheitsaspekte aus, beispielsweise auf Selbstwirksamkeit, Wohlbefinden, Verantwortungsgefühl und Erholung.
Herauszustellen ist die Bedeutung des/der Kümmer(ers)*in für den erfolgreichen Betrieb eines NER. Dieser/Diese Kümmer(er)*in ist Ansprechperson für Kinder aber auch für pädagogische Fachkräfte, Eltern und die Nachbarschaft. Zudem sorgt er/sie für die Sicherheit und Sauberkeit im NER und beteiligt die Kinder bei der Pflege und dem Unterhalt im NER.
Viele Eltern unterstützen grundsätzlich den Besuch ihres Kindes in einem NER. Die Akzeptanz der Eltern hinsichtlich des Aufenthaltes der Kinder im NER ist besonders groß, wenn die Kinder bei der Planung und Einrichtung des NER beteiligt waren.
In Hinblick auf die planungsrechtliche Entwicklung ist es bedeutsam, dass neben der Einführung des NER im Bundesnaturschutzgesetz im Jahre 2009 nunmehr auch die Bestrebung besteht, den Begriff im Baugesetzbuch zu verankern. NER sollten als wichtige Bestandteile eines
städtischen Grünflächensystems gerade auch in hoch verdichteten Stadträumen in den Flächennutzungs- und Bebauungsplänen der Kommunen rechtssicher festgesetzt werden können. Vorbildhaft zeigen sich außerhalb Berlins 14 weitere Groß- und Mittelstädte, in denen
bereits NER oder dem Konzept entsprechende Flächen eingerichtet werden konnten. Einige andere deutsche Kommunen haben bereits von dem Konzept gehört und planen selbst die Einrichtung solcher Flächen. Diese Bestrebungen sind zu unterstützen.
Unsicherheiten in der Einschätzung der Verkehrssicherungspflicht für NER halten offenbar immer noch viele Kommunen davon ab, NER einzurichten und zu betreiben. Hierauf deuten Aussagen von Kommunalvertretern hin. Ein aktives Sicherheitsmanagement, das bereits in der Planung und Gestaltung der Flächen ansetzt, kann die Risiken für den/die Flächenbetreiber*in auf ein Minimum beschränken. Auch hier, das haben die Aussagen der Betreiber*innen von NER gezeigt, ist die institutionelle Verankerung eines/einer Kümmer(ers)*in und die vertrauensvolle Kooperation zwischen Flächeneigentümer*in, Flächenbetreibenden und für die Pflege Verantwortlichen für ein erfolgreiches Sicherheitsmanagement wesentlich.
Die ökologische Begleituntersuchung zeigte, dass die als Pilotflächen ausgewählten NER eine artenreiche Flora und Fauna aufweisen. Positiv für eine hohe Artenvielfalt der betrachteten Artengruppen ist eine Mischung aus unterschiedlichen Vegetationsbereichen, die eine hohe
Strukturvielfalt ergeben. Beim Kinderspiel kommt es zu leichten Abnutzungserscheinungen wie Trampelpfaden und Rindenschäden an Gehölzen. Die Nutzung führte im Untersuchungszeitraum nicht zu einem Verlust gefährdeter Tier- und Pflanzenarten und beeinträchtigte nicht
die Gesamtartenzahlen der untersuchten Tiergruppen. Das Kinderspiel sorgte allerdings für eine gewisse Dynamik in der Vielfalt der Pflanzenarten über die Zeit. Die Vegetationsstruktur wird davon aber nur kleinräumig beeinflusst. Andere Faktoren wie der Witterungsverlauf in den Untersuchungsjahren, die natürliche Sukzession sowie Bau-, Sicherungs- und Pflegemaßnahmen sind entscheidender. Da Bau- und Pflegemaßnahmen auch die Fauna beeinflussen, sollten diese behutsam durchgeführt werden und in für Flora und Fauna unproblematischen Zei-
ten erfolgen. Anfangsgestaltungen und Sicherungsmaßnahmen erhöhen aber auch die Strukturvielfalt, was auf längere Sicht zu einer Zunahme der Artenvielfalt führen kann. Die Nutzung der NER kann also im Rahmen der untersuchten Parameter im Untersuchungszeitraum als nachhaltig angesehen werden. Die NER blieben attraktiv für das Kinderspiel. Ein längerfristig angelegtes ökologisches Monitoring kann weitergehende Erkenntnisse liefern, um die richtige Balance zwischen Nutzungsintensität und ökologischer Flächenentwicklung zu finden.
Insgesamt lässt sich schon jetzt das Fazit ziehen, dass die Einrichtung von NER die Lebensbedingungen von Kindern und deren Familien in hochverdichteten Stadträumen wirksam verbessern kann. Als wichtiger Bestandteil des städtischen Grünflächensystems leisten Naturerfahrungsräume zudem einen wichtigen Beitrag für das Mikroklima und die Biotop- und Artenvielfalt in den Städten. Insofern ist zu hoffen, dass das Konzept der NER eine rasche Verbreitung in den Städten und Kommunen finden wird.
Cities at the fringe of the Taklimakan desert in NW China are prone to dust and sand storms with serious consequences for human well-being. The Kökyar Protection Forest was established in the 1980s as an ecological engineering project with the intent of protecting the city of Aksu, NW China, from these impacts. It is designed as a combination of poplar shelterbelts and orchards, irrigated by river water from the Aksu River, the main tributary of the Tarim River. Prevalent literature describes it as an afforestation project for combatting desertification with manifold positive effects for the economic, social, and environmental dimension of sustainable development. This paper sets out to challenge these claims by a sustainability assessment in which the plantation is examined from a broader perspective, embedding it to the wider context of social and environmental problems in South Xinjiang. Methods comprise evapotranspiration calculations, interviews, a socioeconomic household survey, stakeholder dialogues, and literature research. Results affirm its economic sustainability, but see a mixed record for the social sphere. From the nature conservation point of view, it has to be classified as unsustainable because its high irrigation water consumption results in the downstream desiccation and desertification of natural riparian forests along the Tarim River, causing a forest loss in the downstream area twice the size of the forest gain in the upstream area. There is a trade-off between artificial shelterbelt plantations for urban ecosystem services on the one hand side, and natural riparian forests and their biodiversity on the other hand side. The paper recommends restricting agricultural extension, and using locally adapted less water consuming agroforestry schemes to protect urban dwellers from dust stress.
Riparian forests are rare and valuable ecosystems in Central Asia, both due to their significance for biodiversity and to their provision of vital ecosystem services to local residents. However, the actual forest use behaviour is under-researched, official figures may not be trustworthy, and the question of over-use is up in the air. This paper sets out to shed light on riparian forest use behaviour by local residents using the example of Ak-Tal Village upon the Naryn River in Kyrgyzstan: Which economic use patterns do they practice (focusing on fuel wood and pasture)? Which other ecosystem services do they recognise? Is there forest over-exploitation? To answer these questions, this study builds on local knowledge, by applying the methods of focus group discussions and a household survey. Results show an extreme discrepancy between official wood consumption figures (50–60 m3 p.a.) and figures based on household wood consumption (310–404 m3 p.a.). The forest also serves as an important winter pasture over the seven months between October and April (stocking density 0.61 livestock units/ha), but payments for these ecosystem services are low, with annually 40 KGS/ha. Local residents are aware of additional material and nonmaterial ecosystem services of the riparian forest. Opinions diverge upon the question if there is forest over-exploitation, potentially because different stakeholders have different concepts of an optimal forest status. Consequently, optimal forest use behaviour can only be defined by the local users themselves, e.g., in a future stakeholder dialogue.
Peatlands in the European Union are largely drained for agriculture and emit 25% of the total agricultural greenhouse gas emissions. Drainage-based peatland use has also negative impacts on water quality, drinking water provision and biodiversity. Consequently, key EU environmental policy objectives include the rewetting of all drained peatlands as an essential nature-based solution. Rewetting of peatlands can be combined with site-adapted land use, so-called paludiculture. Paludiculture produces biomass from wet and rewetted peatlands under conditions that maintain the peat body, facilitate peat accumulation and can provide many of the ecosystem services associated with natural, undrained peatlands. The biomass can be used for a wide range of traditional and innovative food, feed, fibre and fuel products. Based on examples in Germany, we have analysed emerging paludiculture options for temperate Europe with respect to greenhouse gas fluxes, biodiversity and indicative business economics. Best estimates of site emission factors vary between 0 and 8 t CO2eq ha−1 y−1. Suitability maps for four peatland-rich federal states (76% of total German peatland area) indicate that most of the drained, agriculturally used peatland area could be used for paludiculture, about one-third of the fen area for any paludiculture type. Fen-specific biodiversity benefits from rewetting and paludiculture, if compared to the drained state. Under favourable conditions, paludiculture can be economically viable, but costs and revenues vary considerably. Key recommendations for large-scale implementation are providing planning security by paludiculture spatial planning, establishing best practice sites and strengthening research into crops, water tables and management options.
Biomass is an important metric for monitoring carabid populations and serves as an ecological indicator. Models that predict carabid weight based on body size represent a simple and straightforward method to estimate biomass and are therefore commonly used. However, such models are rarely evaluated against independent validation data. In this study, we evaluated the two widely used size-weight models by Szyszko (1983) and Booij et al. (1994) drawing on previously published independent data. Additionally, we developed and tested four new models to also evaluate the potential effect of taxonomic parameters; and compared model predictions with actual measurements of biomass using relative deviation graphs and observed versus predicted from regression. We show that the two models by Szyszko (1983) and Booij et al. (1994) contain systematic bias towards larger and smaller carabids, respectively, suggesting restricted applicability of such models. Additional taxonomic parameters improved weight predictions, indicating one possible solution to the issue of restricted applicability. We discuss further relevant limitations of size-weight models and their application and recommend a combined use of the models of Szyszko (1983) and Booij et al. (1994) for carabids ≥ 11.8 mm and < 11.8 mm, respectively.
Implications for insect conservation: Size-weight models are a suitable and simple method to estimate the biomass of carabids and have great potential to be used in monitoring schemes, the investigation of long-term trends and ecological studies. It is, however, essential that researchers pay special attention to potential restrictions in their applicability and methodological limitations.
Detailed knowledge of a soil’s lime requirement (LR) is a prerequisite for a demand-based lime fertilization to achieve the optimum soil pH and thus sustainably increasing soil fertility and crop yields. LR can be directly determined by the base neutralizing capacity (BNC) obtained by soil-base titration. For a site-specific soil acidity management, detailed information on the within-field variation of BNC is required. However, soil-base titrations for BNC determination are too laborious to be extensively applied in routine soil testing. In contrast, visible and near-infrared spectroscopy (visNIRS) is a time and cost-effective alternative that can analyze several soil characteristics within a single spectrum. VisNIRS was tested in the laboratory on 170 air-dried and sieved soil samples of nine agricultural fields of a quaternary landscape in North-east Germany predicting the soil’s BNC and the corresponding lime requirement (LRBNC) at a target pH of 6.5. Seven spectral pre-processing methods were tested including a new technique based on normalized differences (ND). Furthermore, six multivariate regression methods were conducted including a new method combining a forward stagewise subset selection algorithm with PLSR (FS-PLSR). The models were validated using an independent sample set. The best regression model for most target variables was FS-PLSR combined with the second Savitzky-Golay derivation as pre-processing method achieving R2s from 0.68 to 0.82. Finally, the performance of the direct prediction of LRBNC (R2 = 0.68) was compared with an indirect prediction that was calculated by the predicted BNC parameters. This resulted in slightly higher correlation coefficients for the indirect method with R2 = 0.75.
Liming agricultural fields is necessary for counteracting soil acidity and is one of the oldest operations in soil fertility management. However, the best management practice for liming in Germany only insufficiently considers within-field soil variability. Thus, a site-specific variable rate liming strategy was developed and tested on nine agricultural fields in a quaternary landscape of north-east Germany. It is based on the use of a proximal soil sensing module using potentiometric, geoelectric and optical sensors that have been found to be proxies for soil pH, texture and soil organic matter (SOM), which are the most relevant lime requirement (LR) affecting soil parameters. These were compared to laboratory LR analysis of reference soil samples using the soil’s base neutralizing capacity (BNC). Sensor data fusion utilizing stepwise multi-variate linear regression (MLR) analysis was used to predict BNC-based LR (LRBNC) for each field. The MLR models achieved high adjusted R2 values between 0.70 and 0.91 and low RMSE values from 65 to 204 kg CaCO3 ha−1. In comparison to univariate modeling, MLR models improved prediction by 3 to 27% with 9% improvement on average. The relative importance of covariates in the field-specific prediction models were quantified by computing standardized regression coefficients (SRC). The importance of covariates varied between fields, which emphasizes the necessity of a field-specific calibration of proximal sensor data. However, soil pH was the most important parameter for LR determination of the soils studied. Geostatistical semivariance analysis revealed differences between fields in the spatial variability of LRBNC. The sill-to-range ratio (SRR) was used to quantify and compare spatial LRBNC variability of the nine test fields. Finally, high resolution LR maps were generated. The BNC-based LR method also produces negative LR values for soil samples with pH values above which lime is required. Hence, the LR maps additionally provide an estimate on the quantity of chemically acidifying fertilizers that can be applied to obtain an optimal soil pH value.
Soil acidification is caused by natural paedogenetic processes and anthropogenic impacts but can be counteracted by regular lime application. Although sensors and applicators for variable-rate liming (VRL) exist, there are no established strategies for using these tools or helping to implement VRL in practice. Therefore, this study aimed to provide guidelines for site-specific liming based on proximal soil sensing. First, high-resolution soil maps of the liming-relevant indicators (pH, soil texture and soil organic matter content) were generated using on-the-go sensors. The soil acidity was predicted by two ion-selective antimony electrodes (RMSEpH: 0.37); the soil texture was predicted by a combination of apparent electrical resistivity measurements and natural soil-borne gamma emissions (RMSEclay: 0.046 kg kg−1); and the soil organic matter (SOM) status was predicted by a combination of red (660 nm) and near-infrared (NIR, 970 nm) optical reflection measurements (RMSESOM: 6.4 g kg−1). Second, to address the high within-field soil variability (pH varied by 2.9 units, clay content by 0.44 kg kg−1 and SOM by 5.5 g kg−1), a well-established empirical lime recommendation algorithm that represents the best management practices for liming in Germany was adapted, and the lime requirements (LRs) were determined. The generated workflow was applied to a 25.6 ha test field in north-eastern Germany, and the variable LR was compared to the conventional uniform LR. The comparison showed that under the uniform liming approach, 63% of the field would be over-fertilized by approximately 12 t of lime, 6% would receive approximately 6 t too little lime and 31% would still be adequately limed.
Despite being a natural soil-forming process, soil acidification is a major agronomic challenge under humid climate conditions, as soil acidity influences several yield-relevant soil properties. It can be counterbalanced by the regular application of agricultural lime to maintain or re-establish soil fertility and to optimize plant growth and yield. To avoid underdose as well as overdose, lime rates need to be calculated carefully. The lime rate should be determined by the optimum soil pH (target pH) and the response of the soil to lime, which is described by the base neutralizing capacity (BNC). Several methods exist to determine the lime requirement (LR) to raise the soil pH to its optimum. They range from extremely time-consuming equilibration methods, which mimic the natural processes in the soil, to quick tests, which rely on some approximations and are designed to provide farmers with timely and cost-efficient data. Due to the higher analytical efforts, only limited information is available on the real BNC of particular soils. In the present paper, we report the BNC of 420 topsoil samples from Central Europe (north-east Germany), developed on sediments from the last ice age 10,000 years ago under Holocene conditions. These soils are predominantly sandy and low in humus, but they exhibit a huge spatial variability in soil properties on a small scale. The BNC was determined by adding various concentrations of Ca(OH)2 and fitting an exponential model to derive a titration curve for each sample. The coefficients of the BNC titration curve were well correlated with soil properties affecting soil acidity and pH buffer capacity, i.e., pH, soil texture and soil organic matter (SOM). From the BNC model, the LRs (LRBNC) were derived and compared with LRVDLUFA based on the standard protocol in Germany as established by the Association of German Agricultural Analytic and Research Institutes (VDLUFA). The LRBNC and LRVDLUFA correlated well but the LRVDLUFA were generally by approximately one order of magnitude higher. This is partly due to the VDLUFA concept to recommend a maintenance or conservation liming, even though the pH value is in the optimum range, to keep it there until the next lime application during the following rotation. Furthermore, the VDLUFA method was primarily developed from field experiments where natural soil acidification and management practices depressed the effect of lime treatment. The BNC method, on the other hand, is solely based on laboratory analysis with standardized soil samples. This indicates the demand for further research to develop a sound scientific algorithm that complements LRBNC with realistic values of annual Ca2+ removal and acidification by natural processes and N fertilization.
Evaluating Soil-Borne Causes of Biomass Variability in Grassland by Remote and Proximal Sensing
(2019)
On a grassland field with sandy soils in Northeast Germany (Brandenburg), vegetation indices from multi-spectral UAV-based remote sensing were used to predict grassland biomass productivity. These data were combined with soil pH value and apparent electrical conductivity (ECa) from on-the-go proximal sensing serving as indicators for soil-borne causes of grassland biomass variation. The field internal magnitude of spatial variability and hidden correlations between the variables of investigation were analyzed by means of geostatistics and boundary-line analysis to elucidate the influence of soil pH and ECa on the spatial distribution of biomass. Biomass and pH showed high spatial variability, which necessitates high resolution data acquisition of soil and plant properties. Moreover, boundary-line analysis showed grassland biomass maxima at pH values between 5.3 and 7.2 and ECa values between 3.5 and 17.5 mS m−1. After calibrating ECa to soil moisture, the ECa optimum was translated to a range of optimum soil moisture from 7% to 13%. This matches well with to the plant-available water content of the predominantly sandy soil as derived from its water retention curve. These results can be used in site-specific management decisions to improve grassland biomass productivity in low-yield regions of the field due to soil acidity or texture-related water scarcity.
Dominant agricultural and food systems lead to continuous resource depletion and unacceptable environmental and social impacts. While current calls for changing agrifood systems are increasingly framed in the context of sustainability transitions, they rarely make an explicit link to transition studies to address these systemic challenges, nor do transition scholars sufficiently address agri-food systems, despite their global pertinence. From this viewpoint, we illustrate several gaps in the agri-food systems debate that sustainability transition studies could engage in. We propose four avenues for research in the next decade of transition research on agri-food systems: 1) Crossscale dynamics between coupled systems; 2) Social justice, equity and inclusion; 3) Sustainability transitions in low- and middle-income countries; 4) Cross-sectoral governance and system integration. We call for a decade of new transition research that moves beyond single-scale and sector perspectives toward more inclusive and integrated analyses of food system dynamics.
With increasing road encroachment, habitat fragmentation by transport infrastructures has been a serious threat for European biodiversity. Areas with no roads or little traffic (“roadless and low-traffic areas”) represent relatively undisturbed natural habitats and functioning ecosystems. They provide many benefits for biodiversity and human societies (e.g., landscape connectivity, barrier against pests and invasions, ecosystem services). Roadless and low-traffic areas, with a lower level of anthropogenic disturbances, are of special relevance in Europe because of their rarity and, in the context of climate change, because of their contribution to higher resilience and buffering capacity within landscape ecosystems. An analysis of European legal instruments illustrates that, although most laws aimed at protecting targets which are inherent to fragmentation, like connectivity, ecosystem processes or integrity, roadless areas are widely neglected as a legal target. A case study in Germany underlines this finding. Although the Natura 2000 network covers a significant proportion of the country (16%), Natura 2000 sites are highly fragmented and most low-traffic areas (75%) lie unprotected outside this network. This proportion is even higher for the old Federal States (western Germany), where only 20% of the low-traffic areas are protected. We propose that the few remaining roadless and low-traffic areas in Europe should be an important focus of conservation efforts; they should be urgently inventoried, included more explicitly in the law and accounted for in transport and urban planning. Considering them as complementary conservation targets would represent a concrete step towards the strengthening and adaptation of the Natura 2000 network to climate change.
Remotely sensed effectiveness assessments of protected areas lack a common framework: A review
(2022)
Effective protected areas reflect socio-ecological values, such as biodiversity and habitat maintenance, as well as human well-being. These values, which safeguard ecosystem services in protected areas, are treated as models for the sustainable preservation and use of resources. While there is much research on the effectiveness of protected areas in a variety of disciplines, the question is whether there is a common framework that uses remote sensing methods. We conducted a qualitative and a quantitative analysis of 44 peer-reviewed scientific papers utilizing remote sensing data in order to examine the effectiveness of protected areas. Very few studies to date have a wide or even a global geographical focus; instead, most quantify the effectiveness of protected areas by focusing on local-scale case studies and single indicators such as forest cover change. Methods that help integrate spatial selection approaches, to compare a protected area's characteristics with its surroundings, are increasingly being used. Based on this review, we argue for a multi-indicator-based framework on protected area effectiveness, including the development of a consistent set of socio-ecological indicators for a global analysis. In turn, this will allow for globally applicable use, including a concrete evaluation that considers the diversity of regional parameters, biome-specific variables, and political frameworks. Ideally, such a framework will enhance the monitoring and evaluation of global strategies and conventions.
Expectations of what forests and woodlands should provide vary among locations, stakeholder groups, and over time. Developing multifunctional forests requires understanding of the dynamic roles of traditions and cultural legacies in social-ecological systems at multiple levels and scales. Implementing policies about multifunctional forests requires a landscape and social-ecological perspective, and recognition of both spatial and temporal features at multiple scales. This study explores the dissemination of even-aged silviculture in central, eastern and northern Europe, and the consequences of choosing different vantage points in social-ecological systems for mapping of barriers, and to identify levers, towards multifunctional forest landscapes. Using a narrative approach, we first summarise the development of even-aged silviculture in four European regions. Next, we focus on Sweden as a keen adopter of even-aged silviculture, and identify levers at three groups of vantage points. They were (1) biosphere with biodiversity as short-hand for composition, structure and function of ecosystems, which support human well-being at multiple scales; (2) society in terms of different levels of stakeholder interactions from local to global, and (3) economy represented by value chain hierarchies and currencies. The emergence of even-aged silviculture >200 years ago formed an expanding frontier from central to northern Europe. Sustained yield wood production and biodiversity conservation encompass different portfolios of ecosystem aspects and spatio-temporal scales. Ignorance and lack of knowledge about these differences enforce their mutual rivalry. An exploratory review of six groups of stakeholders at multiple levels in the traditional industrial forest value chain highlights inequalities in terms of distribution of income and power across different levels of governance. This effectively marginalises other than powerful industrial actors. The distribution of financial results along the value chain is dynamic in space and time, and not all benefits of forest ecosystems can be measured using monetary valuation. There are also other currencies and incentives. A discussion of cultural trajectories in central and eastern European, Russian and Swedish forest management illustrates that forest history patterns repeat themselves. Longitudinal case studies of countries and regions can help foster holistic multi-dimensional and multi-level systems thinking. Application of deep levers of change is likely to require external drivers. A key challenge is to handle the manufacturing of doubt and decay of truth, i.e., the appearance of alternative facts, and the diminishing role of evidence and systems analyses in political and civic discourses. This transition is fuelled by new and rapidly evolving digital arenas.
Little is known about the emergence and development of novel governance approaches for forest ecosystem services provision, what drives them, and how they can be fostered. Existing frameworks often deal with single aspects of resource management and thus fail to assess processes, multi-level influences, and interacting dimensions and factors in a system-based understanding. In this article, we introduce the conceptual foundation and an empirical application of an adapted Social-Ecological System framework with additional elements that builds on the idea of complex and interlinked social-ecological-technical-forestry-innovation systems that allows for the identification of key factors for revealing forest ecosystem services dynamics to understand the emergence and development of such governance innovations. The development and testing of the framework was based on six case studies for knowledge co-creation. To showcase its application, two governance innovations were examined: a voluntary carbon market payment scheme in Germany and a network approach for forest-pasture management in Italy. The application of the framework reveals required adaptations to improve innovation by systematically unpacking the system dimensions and identifying fostering and hindering factors and their interdependencies. We highlight the output of a sound system-based information basis that allows for purposeful innovation conditioning by policy makers, practitioners, and other related actors.
Forests are key components of European multifunctional landscapes and supply numerous forest ecosystem services (FES) fundamental to human well-being. The sustainable provision of FES has the potential to provide responses to major societal challenges, such as climate change, biodiversity loss, or rural development. To identify suitable strategies for the future sustenance of FES, we performed a solution scanning exercise with a group of transdisciplinary forest and FES experts from different European regions. We identified and prioritized fifteen major challenges hindering the balanced provision of multiple FES and identified a series of potential solutions to tackle each of them. The most prominent challenges referred to the increased frequency and impacts of extreme weather events and the normative mindset regarding forest management. The respective solutions pointed to the promotion of forest resilience via climate-smart forestry and mainstreaming FES-oriented management through a threefold strategy focusing on education, awareness raising, and networking. In a subsequent survey, most solutions were assessed as highly effective, transferable, monitorable, and with potential for being economically efficient. The implementation of the solutions could have synergistic effects when applying the notion of leverage points. Seven emerging pathways towards the sustainable supply of FES have been identified. These pathways build on each other and are organized based on their potential for transformation: (1) shifting forest management paradigms towards pluralistic ecosystem valuation; (2) using integrated landscape approaches; (3) increasing forest resilience; (4) coordinating actions between forest-related actors; (5) increasing participation in forest planning and management; (6) continuous, open, and transparent knowledge integration; and (7) using incentive-based instruments to support regulating and cultural FES. These pathways can contribute to the implementation of the new EU Forestry Strategy to support the balanced supply of multiple FES.
Governance Innovations for forest ecosystem service provision – Insights from an EU-wide survey
(2022)
This paper analyses the occurrence of governance innovations for forest ecosystem service (FES) provision in the forestry sector in Europe and the factors that influence innovation development. Based on a European-wide online survey, public and private forest owners and managers representing different property sizes indicate what type of governance innovation activities they engage in, and why. To investigate forestry innovations as systems, the analysis focuses on biophysical, social and technical factors influencing innovation development. The results of our exploratory quantitative analysis show that most innovation activities identified are largely oriented towards biomass production. Accordingly, most forest owners implement efficiency-driven optimisation strategies for forest management and technological improvement for provisioning service supply, to generate income. In contrast, the provision of regulating and cultural services is not yet a prominent part of forestry innovation activities.Reasons are rooted in a market-oriented economic rationale focusing on timber production, a lack of financial resources to compensate for other FES provisions or institutions to provide backup and security to forest owners and managers for engaging in innovation development. Given that the provision of a wide range of FES is a politically well-established objective for forest management in Europe, a strategy is needed that helps to align actors and sectors for supporting and co-financing related forest management approaches and business models. The current revision of the forest related policy framework on EU level under the EU Green deal poses a window of opportunity for better fostering novel governance approaches for more sustainable FES provision.
Enduring sustainability challenges requires a new model of collective leadership that embraces critical reflection, inclusivity and care. Leadership collectives can support a move in academia from metrics to merits, from a focus on career to care, and enact a shift from disciplinary to inter- and trans-disciplinary research. Academic organisations need to reorient their training programs, work ethics and reward systems to encourage collective excellence and to allow space for future leaders to develop and enact a radically re-imagined vision of how to lead as a collective with care for people and the planet.
Forest ecosystems provide a range of goods and services that are essential to human well-being. Yet global environmental problems, increasing urbanization, industrialization pressures, and dominant market mechanisms put into jeopardy the long term sustainable provision of forest ecosystem services (FES). Markets tend to favor private goods, such as timber, and are typically less able to provide sustainable financing mechanisms for public goods and services, such as carbon storage, biodiversity conservation or recreational value. European forest owners and policy makers alike are looking for governance innovations that generate economic opportunity while ensuring the future provision of FES.
This systematic literature review aims to consolidate existing academic empirical research on local or regional level governance innovations in Europe concerned with generating forest-based revenue through FES provision. Thus, it complements conceptual literature dealing with challenges and opportunities of financing the provision of FES. When conducting the review we followed the process guidelines developed by ‘Collaboration for Environmental Evidence’ (Collaboration for Environmental Evidence, 2018). Out of a total of 3962 scanned papers, 23 papers containing 48 case studies were identified and analyzed in detail, to address the following guiding questions: (1) What types of FES related (governance) innovations for forest-based revenue generation exist and which FES do they address? (2) What are the motivations driving innovation development? (3) What are the implications for forest management? We found four types of governance innovations: forest product and organizational innovations which largely relate to provisioning FES; service innovations, which generally relate to cultural FES; and financial incentive systems or payment schemes targeting mostly regulating services. We identify potential synergies between two high-priority EU policy objectives: rural economic development and securing future FES provision. Currently, governance innovations’ forest management implications and associated impact on (future) FES provision are rarely addressed in this literature. We recommend future policy and research to give greater consideration to the interdependencies between securing a range of FES, (rural) economic development, and forest management, to realize potential synergies.
This Special Issue provides insights into conceptual approaches, methodological procedures and practice findings for the development and assessment of governance innovations for the sustainable provision of forest ecosystem services (FES) in Europe. We depart from the observation that the sustainable and balanced provision of FES requires novel policy, management and business approaches that need to overcome challenges in order to emerge, develop and flourish. These challenges are rooted in the diversity of forest ecosystems and institutional contexts, a lack of system understanding, of innovation dynamics, the public good character of many FES, and a production-oriented reference frame for forest management. We use a set of good governance innovation practices in form of new actor alliances and payment schemes as a basis for assessment and learning how to promote different kinds or bundles of FES. The contributing authors of the SI combine several methodological approaches to understand the working conditions of such innovations, including integrated mapping, stakeholder and governance analysis, and a forward-looking scenario approach for innovation assessment. Applying multi-methods and multi-actor approaches fruitfully orchestrated a constructive debate among stakeholders on the chances and challenges of governance innovations in Europe, to allow for their uptake in forest policy, business and practice.
An increasing number of small and medium-sized enterprises (SMEs) in the German organic agri-food sector involves citizens through different community financing models. While such models provide alternative funding sources as well as marketing opportunities to SMEs, they allow private investors to combine their financial and ethical concerns by directly supporting the development of a more sustainable food system. Due to the low level of financial intermediation, community financing is characterized by close relations between investors and investees. Against this background, we apply the proximity concept from economic geography to explore spatial and relational aspects of community financing in the German organic agri-food sector. Based on a qualitative multiple case study approach, we find that the relevance of proximity is twofold. While different forms of proximity between SMEs and their potential investors are key success factors, proximity is also considered as one desired outcome of community financing. Furthermore, our results reveal that the extent to which SMEs rely on particular proximity dimensions distinguishes two different approaches to community financing.
Purpose
The present study explores the development of agri-food value chains from an organizational learning perspective, using the German organic food sector as an example. We illustrate how the development of local value chains unfolds over time and outline how facilitation can support this process.
Design/methodology/approach
The study used an action research design to facilitate change in practice and to create new knowledge. Data were collected through qualitative interviews, participant observation, and documentation of workshops and other learning activities. Data analysis and conceptualization followed a grounded theory approach.
Findings
The development process of value chains occurs in three phases, from joint exploration of the problem, through a phase of experimentation and implementation, to further cultivation of established collaborations among value chain actors. The development process oscillates between intra- and inter-organizational learning as well as explorative and exploitative activities.
Practical implications
The results of this study can help to understand and to further professionalize the practice of value chain development and provide guidance for facilitators and other stakeholder working in this field.
Theoretical implications
By drawing on the theory of exploration and exploitation, the study enhances the understanding of value chains collaboration in an inter-organizational setting. The study conceptualizes the development of agri-food value chains and the role of facilitators in the process.
Originality/value
There is little research to date that considers the development of value chains as a collaborative learning process. The presented grounded theory of local value chain development may inform further research on the transition towards a more sustainable agri-food system.
A large variety of organisations provides support for cooperative approaches in the field of research and innovation in agriculture, forestry and rural development, and acts as Innovation Support Services (ISS). The findings from ProAkis (2015) show that different types of organisations such as administrative offices, public or semi-public advisory services, rural academies/universities, producer organisations, other NGOs or private consultants engaged in the Agricultural Knowledge and Innovation System (AKIS) can act as ISS. The funding of ISS can be public, private or a mix of both. A literature review indicates that studies often focus on the
larger “enabling environment” and the structure of the Agricultural Knowledge and Innovation Systems (AKIS). Moreover, many authors pay particular attention to the role of public or semi-public farm advisory organisations (Knierim et al., 2015; Sulaiman 2015). The paper is based on the analysis of more than 200 case studies of publically or privately funded interactive innovation projects within the EU and beyond. The selection of cases took place under the framework of the Horizon2020-funded European research and innovation project LIAISON. European and national databases contain several thousands of projects in agriculture, forestry and rural development. We selected projects applying the interactive innovation approach from a) EU programmes (EIP-Agri, Horizon2020, Interreg, and LIFE+); b) nationally/regionally or privately funded projects; and c) informal initiatives or networks in the agri-food, forestry, bioeconomy or nature conservation area. The results indicate that publically funded IIS play a core role for legal/administrative compliance of projects. Semi-public advisory services take up this role as well, and they are strong in linking farmers with scientists, technicians, entrepreneurs etc. However, they often exist and offer efficient ISS only for those industries that have a long tradition for a sector or area (e.g. dairy, pork, poultry or club fruit). This paper shows that different types of organisations (research institutes, farmers or producer organisations, NGOs, processing or marketing SMEs, or public bodies) provide various forms of support for the studied interactive innovation groups. No particular type of organisation such as the farm advisory services are more suitable than the other organisations for the delivery of ISS. Instead, it depends on former collaboration, the particular topic, objective or capacities available as well as the cultural/political context who engages in interactive innovation and provides innovation support.
There is a strong demand in media management to strengthen the bridge between theory and practice. Following the debate on rigor and relevance, the approach of engaged scholarship and arguments from our community, we see the need to develop a research agenda in dialogue with practice. Therefore, we explore the following questions: Which topics do media managers consider relevant to research? How can these issues be contrasted with the research agendas proclaimed by media management research?
To answer these questions, we first summarize current issues in media management research through a literature review. Second, current issues in media management practice are captured based on an online survey with German media managers (N=46). Finally, the two perspectives are contrasted to develop relevant questions for media management research and practice.
This article aims to build a better understanding of entrepreneurial communication and strategic communication. The term entrepreneurial is finding its way into the discussion of communication science in general and strategic communication in particular, for example, through the consideration of startups. So far, the term entrepreneurial communication remains vague, is hardly defined and is not systematically distinguished from strategic communication. By applying an analogies lens in the context of problematizing, differences between the terms entrepreneurial and strategic in entrepreneurial communication and strategic communication are explored based on selected given definitions. As a result, three unifying dimensions – development stage, mode, and logic – are developed to highlight fundamental differences between the two terms. To create potential for a future creation of entrepreneurial communication as research program, and to elaborate on future potential for strategic communication in relation to this, central theoretical approaches in entrepreneurship research and their potential to research entrepreneurial communication are explored.
The density of phytophagous insect pest populations is related (directly and indirectly) to several groups of factors that can be broadly divided into: abiotic, biotic and anthropogenic. Each extreme in the abiotic environment at a macro-level leads to a series of consecutive extremes in the biotic environment, which eventually results in micro-level responses in the individual organisms. The manifestation of factors acts in aggregate or in a sequence, creating a chain of processes around us. Insects very efficiently use the abundance of nutritional resources, resulting in a tremendous increase in their population density, and triggering control mechanisms through the emergence of parasitic and pathogenic infections (viruses, bacteria, fungi, microsporidia, protozoa and nematodes). The development of entomopathogenic infections in host populations is directly dependent on the characteristics of both the antagonist and the insect. It is associated with the lifestyle and life cycle of the insect, with features encoded in the mechanism of pathogen action, and limited by the pathogen’s virulence and pathogenicity.
Zukunftstechnologien üben schon seit geraumer Zeit Transformationsdruck auf Medienorganisationen aus (Küng, 2008). Medienorganisationen sind daher gezwungen, gezielt zu reagieren, sich zu verändern und zu lernen. Ein theoretisches Konstrukt, das diesen Prozess erklärt, ist die Theorie des organisationalen Lernens (OL) (Senge, 2006). In der allgemeinen Managementforschung ist OL bereits ein etablierter theoretische Ansatz (Dick, 2005), bei Medienorganisationen wurde OL bislang kaum erforscht (Bernhard & Will, 2021). Die strategische Orientierung der Organisation stellt eine Möglichkeit zur Förderung des OL dar (Seçkin-Halaç, 2019). Insbesondere die strategische Technologieorientierung (TO) könnte in Anbetracht von Zukunftstechnologien hilfreich für OL sein (ebd.). Vor diesem Hintergrund beschäftigt sich dieser Beitrag mit der folgenden Frage: Besteht ein Zusammenhang zwischen der Technologieorientierung (TO) und dem organisationalen Lernen (OL) in Medienorganisationen? Zur Beantwortung dieser Frage wurde eine explorative Onlineumfrage (Zeitraum: Dez. 2020 bis Jan. 2021) unter deutschen Medienmanager*innen (N=46) durchgeführt. Für die Untersuchung wurden die Instrumente von Hakala & Kohtamäki (2011) für die TO und von Marsick & Watkins (2003) für das OL übernommen. Die Umfragedaten wurden mithilfe der Rangkorrelation nach Spearman analysiert. Kernergebnis der Untersuchung ist, dass ein signifikanter Zusammenhang zwischen TO und OL besteht.
Conservation grazing uses semi-feral or domesticated herbivores to limit encroachment in open areas and to promote biodiversity. However, we are still unaware of its effects on wild herbivores. This study investigates the influence of herded sheep and goats on red deer (Cervus elaphus) spatial behavior by testing three a-priori hypotheses: (i) red deer are expected to avoid areas used by livestock, as well as adjacent areas, when livestock are present, albeit (ii) red deer increase the use of these areas when sheep and goats are temporarily absent and (iii) there is a time-lagged disruption in red deer spatial behavior when conservation grazing practice ends. Using GPS-telemetry data on red deer from a German heathland area, we modelled their use of areas grazed by sheep and goats, using mixed-effect logistic regression. Additionally, we developed seasonal resource selection functions (use-availability design) to depict habitat selection by red deer before, during, and after conservation grazing. Red deer used areas less during conservation grazing throughout all times of the day and there was no compensatory use during nighttime. This effect mostly persisted within 21 days after conservation grazing. Effects on habitat selection of red deer were detectable up to 3000 meters away from the conservation grazing sites, with no signs of either habituation or adaption. For the first time, we demonstrate that conservation grazing can affect the spatio-temporal behavior of wild herbivores. Our findings are relevant for optimizing landscape and wildlife management when conservation grazing is used in areas where wild herbivores are present.