@article{AlffKonysbayevSalmyrzauly2023, author = {Alff, Henryk and Konysbayev, Talgarbay and Salmyrzauly, Ruslan}, title = {Old stereotypes and new openness: discourses and practices of trans-border re- and disconnection in south-eastern Kazakhstan's agricultural sector}, series = {Eurasian Geography and Economics}, journal = {Eurasian Geography and Economics}, publisher = {Taylor \& Francis}, issn = {1538-7216}, doi = {10.1080/15387216.2023.2169184}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6340}, pages = {23}, year = {2023}, abstract = {Since the Soviet breakup, rural communities in the Kazakhstan-China borderlands have faced cataclysmic social, economic, and ecological transformations. Collective and state farms have been replaced by precarious smallholder agriculture suffering from a decline in financial inputs and the deterioration of infrastructure. At the same time, dynamic transformations of border permeability (and trans-border reconnections) between Kazakhstan and China have challenged the until relatively recent widespread Soviet rhetoric on Western China (or rather Xinjiang) as an underdeveloped space across the border. This article is based on several months of fieldwork between 2019 and 2021 in Panfilov District, located at major cross-border road and railway intersections and hosting important infrastructural objects, such as a dry port, a major railway transhipment hub, and a trans-border special economic zone. The article explores how the border situation (and the border's changing permeability for people, commodities, and ideas since the early 1990s) as well as the implementation of new trans-border infrastructures eventually shaped local discourses and practices in the socio-economic development of south-east Kazakhstan's agricultural sector. It is scrutinized herein how various forms of trans-border socio-economic interactions (although heavily regulated) and China's (agri-) economic policy in Xinjiang started to affect farmers' ambitions and practices across the border.}, language = {en} } @inproceedings{SanneKampeLenzetal.2017, author = {Sanne, Moritz and Kampe, Anja and Lenz, Claudia and Gossel, Stefan and Wagner, Sabine and Haibel, Astrid and Melcher, Eckhard and Leu, Carsten and Pfriem, Alexander and Lautner, Silke}, title = {Anatomical studies of wood treated with pressure pulse shock waves}, series = {Proceedings of the 13th annual meeting of the Northern European Network for Wood Science and Engineering (WSE2017)}, booktitle = {Proceedings of the 13th annual meeting of the Northern European Network for Wood Science and Engineering (WSE2017)}, editor = {Engelund Thybring, Emil}, doi = {10.57741/opus4-684}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6841}, pages = {1}, year = {2017}, abstract = {Similar to a normal wave, a shock wave travels as energy through matter but it causes an abrupt raise of pressure, temperature and density. In this study the influence of shock waves on wood structure were investigated in the light of possible future industrial utilization e.g. timber impregnating treatment.}, language = {en} } @article{MarkowFieldsendvonMuenchhausenetal.2023, author = {Markow, Jekaterina and Fieldsend, Andrew and von M{\"u}nchhausen, Susanne and H{\"a}ring, Anna Maria}, title = {Building agricultural innovation capacity from the bottom up: Using spillover effects from projects to strengthen agricultural innovation systems}, series = {Agricultural Systems}, journal = {Agricultural Systems}, number = {209}, publisher = {Elsevier}, issn = {0308-521X}, doi = {10.1016/j.agsy.2023.103670}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6853}, pages = {10}, year = {2023}, abstract = {CONTEXT Current research emphasises that agricultural innovation projects are influenced in multiple ways by the Agricultural Innovation Systems (AIS) in which they operate. Yet little attention has been paid to the reverse direction of this relationship, i.e. how agricultural innovation projects affect AIS in the course of their innovative activities. Accordingly, there are currently no tools to measure such AIS spillovers from agricultural innovation projects. OBJECTIVE This paper shows that even where agricultural innovation projects have not been designed with the explicit aim of influencing AIS they can have spillovers on the AIS in which they operate. Based on this finding, it argues that designing agricultural innovation projects in a way that maximises such positive and reduces negative AIS spillovers would be a useful tool for strengthening agricultural innovation capacities in a particular territory or sector. METHODS Based on the concept of agricultural innovation projects as Organisational Innovation Systems (OIS) that are embedded in AIS, the paper develops an analytical framework for assessing spillovers of such projects on AIS and applies it to a case study of an Operational Group in the German Federal State of Hessen. RESULTS AND CONCLUSIONS The case study shows that agricultural innovation projects may yield diverse spillovers on the AIS in which they operate. In addition to considering how agricultural innovation projects are shaped - constrained and/or enabled - by AIS, the research community on agricultural innovation should pay more attention to this side of the interrelation of AIS and agricultural innovation projects. Designing agricultural innovation projects responsibly so that spillovers on AIS are monitored can help to improve national or sectoral AIS. SIGNIFICANCE This paper points to an underexplored issue in research on agricultural innovation and, related to this, a thus far unused potential policy tool for improving national and sectoral AIS. It further develops the concept of innovation projects as OIS into an approach for assessing the effects of projects on AIS; an area of project assessment that until now has not been adequately covered.}, language = {en} } @article{CreamerHagensBaartmanetal.2021, author = {Creamer, Rachel E. and Hagens, Mathilde and Baartman, Jantiene and Helming, Katharina}, title = {Editorial for special issue on "understanding soil functions - from ped to planet"}, series = {European Journal of Soil Science}, volume = {72}, journal = {European Journal of Soil Science}, number = {4}, publisher = {Wiley}, issn = {1365-2389}, doi = {10.1111/ejss.13099}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6870}, pages = {1493 -- 1496}, year = {2021}, language = {en} } @article{MacPhersonVoglhuberSlavinskyOlbrischetal.2022, author = {MacPherson, Joseph and Voglhuber-Slavinsky, Ariane and Olbrisch, Mathias and Sch{\"o}bel, Philipp and D{\"o}nitz, Ewa and Mouratiadou, Ioanna and Helming, Katharina}, title = {Future agricultural systems and the role of digitalization for achieving sustainability goals. A review}, series = {Agronomy for Sustainable Development}, journal = {Agronomy for Sustainable Development}, number = {42}, publisher = {Springer Nature}, issn = {1773-0155}, doi = {10.1007/s13593-022-00792-6}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6886}, pages = {18}, year = {2022}, abstract = {By leveraging a wide range of novel, data-driven technologies for agricultural production and agri-food value chains, digital agriculture presents potential enhancements to sustainability across food systems. Accordingly, digital agriculture has received considerable attention in policy in recent years, with emphasis mostly placed on the potential of digital agriculture to improve efficiency, productivity and food security, and less attention given to how digitalization may impact other principles of sustainable development, such as biodiversity conservation, soil protection, and human health, for example. Here, we review high-level policy and law in the German and European context to highlight a number of important institutional, societal, and legal preconditions for leveraging digital agriculture to achieve diverse sustainability targets. Additionally, we combine foresight analysis with our review to reflect on how future frame conditions influencing agricultural digitalization and sustainability could conceivably arise. The major points are the following: (1) some polices consider the benefits of digital agriculture, although only to a limited extent and mostly in terms of resource use efficiency; (2) law as it applies to digital agriculture is emerging but is highly fragmented; and (3) the adoption of digital agriculture and if it is used to enhance sustainability will be dependent on future data ownership regimes.}, language = {en} } @misc{WolfNoeltingHammetal.2022, author = {Wolf, Nicole and N{\"o}lting, Benjamin and Hamm, Andrea and Rehak, Rainer and Hobelsberger, Christine and Beer, Felix}, title = {Kommunale Plattformen nachhaltig gestalten : Kriterienkatalog f{\"u}r Plattformen im Dienst einer nachhaltig-digitalen Daseinsvorsorge}, series = {Kurzstudie der Forschungslinie „Zukunftsf{\"a}hige Daseinsvorsorge"}, journal = {Kurzstudie der Forschungslinie „Zukunftsf{\"a}hige Daseinsvorsorge"}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6641}, pages = {54}, year = {2022}, abstract = {Digitale Plattformen avancieren zu einem wichtigen Teil der kommunalen Daseinsvorsorge. Richtig eingesetzt, k{\"o}nnen plattformbasierte Leistungen ein wirksames Steuerungsinstrument f{\"u}r eine nachhaltige Kommunalentwicklung darstellen. F{\"u}r diese kommunale Gestaltungsaufgabe wird in der Kurzstudie ein Kriterienkatalog erarbeitet, anhand dessen die Nachhaltigkeitspotenziale und -risiken unterschiedlicher Plattformmodelle beschrieben und untersucht werden k{\"o}nnen.}, language = {de} } @inproceedings{BasavegowdaMosebachSchleipetal.2022, author = {Basavegowda, Deepak Hanike and Mosebach, Paul and Schleip, Inga and Weltzien, Cornelia}, title = {Indicator plant species detection in grassland using EfficientDet object detector}, series = {42. GIL-Jahrestagung, K{\"u}nstliche Intelligenz in der Agrar- und Ern{\"a}hrungswirtschaft}, booktitle = {42. GIL-Jahrestagung, K{\"u}nstliche Intelligenz in der Agrar- und Ern{\"a}hrungswirtschaft}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, isbn = {978-3-88579-711-1}, issn = {1617-5468}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6656}, pages = {57 -- 62}, year = {2022}, abstract = {Extensively used grasslands (meadows and pastures) are ecologically valuable areas in the agricultural landscape and part of the multifunctional agriculture. In Germany, the quality of these grasslands is assessed based on the occurrence of certain plant species known as indicator or character species, with indicators being defined at regional level. Therefore, the recognition of these indicators on a spatial level is a prerequisite for monitoring grassland biodiversity. The identification of indicator species for the status quo of grassland using traditional methods was found to be challenging and tedious. Deep learning-algorithms applied to high-resolution UAV imagery could be the key solution, where UAV with remote sensors can map a large area of grassland in comparison to manual or ground mapping methods and deep learning-algorithms can automate the detection process. In this research work, we use an EfficientDet based algorithm to train an object detection model capable of recognizing indicators on RGB data. The experimental results show that this approach is very promising in contrast to the difficult and time-consuming manual recognition methods. The model was trained with the momentum-SGD optimizer with a momentum value of 0.9 and a learning rate of 0.0001. The model was trained and tested on 1200 images and achieves 45.7 AP (and 85.7 AP50) on test data set. The dataset includes images of four distinct indicator plant species: Armeria maritima, Campanula patula, Cirsium oleraceum, and Daucus carota}, language = {en} } @misc{Goettert2023, author = {G{\"o}ttert, Thomas}, title = {Cross-Landscape Approaches to Human Wildlife Conflicts—Na{\"i}ve or Necessary?}, series = {Diversity}, volume = {15}, journal = {Diversity}, number = {5}, publisher = {MDPI}, issn = {1424-2818}, doi = {10.3390/d15050653}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6677}, year = {2023}, language = {en} } @misc{TarneBatjavMatiasetal.2022, author = {Tarne, Anika and Batjav, Batbuyan and Matias, Denise Margaret and Mehring, Marion}, title = {Rural to urban migration in Mongolia - Social-ecological conditions for a stepwise process}, series = {ISOE-Diskussionspapiere}, journal = {ISOE-Diskussionspapiere}, number = {47}, address = {Frankfurt am Main}, issn = {1436-3534}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6728}, pages = {17}, year = {2022}, abstract = {Since the 1990s, Mongolia's capital city Ulaanbaatar has recorded steady and rapid population growth due to rural-urban migration. So far, little is known about how the social and ecological conditions of migration interact. Thus, in our study we investigated the rural-urban migration process from the countryside to the capital in the Eastern Steppe conducting semi-structured interviews. Our results show that this rural-urban migration often follows a stepwise process from smaller settlements to larger urban agglomerations. The results also demonstrate a complex interplay between the prevailing social, economic, and ecological factors. While social factors (kinship, education) show the same relevance at each step of migration, ecological factors such as the occurrence of dzud seem more relevant at the early stages, from the steppe to the sum centres. Ecological factors only seem to rank second in importance, after social reasons. Economic reasons are also revealed to be very significant but seem most relevant the closer the migrations are to the capital. These results are essential in order to cope with current and future challenges of population development and find solutions to enable traditional Mongolian nomadism even under a modern lifestyle.}, language = {en} } @article{BerendtBajalanWenigetal.2023, author = {Berendt, Ferr{\´e}ol and Bajalan, Iman and Wenig, Charlett and Hinds, Charlotte and Blaško, Ľubom{\´i}r and Cremer, Tobias}, title = {Estimation of Scots pine bark biomass delivered to the wood industry in Northern Germany}, series = {Central European Forestry Journal}, volume = {69}, journal = {Central European Forestry Journal}, number = {2}, publisher = {Sciendo}, issn = {2454-0358}, doi = {10.2478/forj-2022-0019}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-6126}, pages = {89 -- 97}, year = {2023}, abstract = {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.}, language = {en} }