@article{MacPhersonPaulHelming2020, author = {MacPherson, Joseph and Paul, Carsten and Helming, Katharina}, title = {Linking Ecosystem Services and the SDGs to Farm-Level Assessment Tools and Models}, series = {Sustainability}, volume = {12}, journal = {Sustainability}, number = {16}, publisher = {MDPI}, issn = {2071-1050}, doi = {10.3390/su12166617}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-3395}, pages = {19}, year = {2020}, abstract = {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.}, language = {en} } @article{VoglhuberSlavinskyLemkeMacPhersonetal.2023, author = {Voglhuber-Slavinsky, Ariane and Lemke, Nahleen and MacPherson, Joseph and D{\"o}nitz, Ewa and Olbrisch, Mathias and Sch{\"o}bel, Philipp and Moller, Bj{\"o}rn and Bahrs, Enno and Helming, Katharina}, title = {Valorization for Biodiversity and Ecosystem Services in the Agri-Food Value Chain}, series = {Environmental Management}, volume = {72}, journal = {Environmental Management}, number = {6}, publisher = {Springer Nature}, doi = {10.1007/s00267-023-01860-7}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-8104}, pages = {1163 -- 1188}, year = {2023}, abstract = {This article defines the term valorization of biodiversity and ecosystem services (BES) measures, as distinguished from their valuation, and underpins it with an assessment of private valorization examples along the agri-food value chain. Valorization incentivizes measures for promoting BES, while valuation refers to its quantification. Valuation can be a step of valorization but is not indispensable. In scientific literature, the terms valorization and valuation are often used interchangeably. In addition, there is a lack of research on private options versus conventional, public policy options. Therefore, we searched for private valorization options primarily in public sources (gray literature and websites). This led to the identification of four clusters (markets for voluntary services, labeling, and certification, environmental management/CSR, and tradable permits and quotas). Based on these clusters the options were assessed from a legal and systems dynamics perspective. In addition, the viability of selected valorization options in different future scenarios was examined. The analysis revealed a wide range of private valorization options, which in contrast to public policy options that focus almost entirely on the production stage, are spread across the agri-food value chain. Their suitability differs under different future scenarios, legal and systems conditions.}, language = {en} } @article{MouratiadouLemkeChenetal.2023, author = {Mouratiadou, Ioanna and Lemke, Nahleen and Chen, Cheng and Wartenberg, Ariani and Bloch, Ralf and Donat, Marco and Gaiser, Thomas and Hanike Basavegowda, Deepak and Helming, Katharina and Ali Hosseini Yekani, Seyed and Krull, Marcos and Lingemann, Kai and Macpherson, Joseph and Melzer, Marvin and Nendel, Claas and Piorr, Annette and Shaaban, Mostafa and Zander, Peter and Weltzien, Cornelia and Bellingrath-Kimura, Sonoko Dorothea}, title = {The Digital Agricultural Knowledge and Information System (DAKIS): Employing digitalisation to encourage diversified and multifunctional agricultural systems}, series = {Environmental Science and Ecotechnology}, volume = {16}, journal = {Environmental Science and Ecotechnology}, publisher = {Elsevier}, issn = {2666-4984}, doi = {10.1016/j.ese.2023.100274}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:eb1-opus-8012}, pages = {13}, year = {2023}, abstract = {Multifunctional and diversified agriculture can address diverging pressures and demands by simultaneously enhancing productivity, biodiversity, and the provision of ecosystem services. The use of digital technologies can support this by designing and managing resource-efficient and context-specific agricultural systems. We present the Digital Agricultural Knowledge and Information System (DAKIS) to demonstrate an approach that employs digital technologies to enable decision-making towards diversified and sustainable agriculture. To develop the DAKIS, we specified, together with stakeholders, requirements for a knowledge-based decision-support tool and reviewed the literature to identify limitations in the current generation of tools. The results of the review point towards recurring challenges regarding the consideration of ecosystem services and biodiversity, the capacity to foster communication and cooperation between farmers and other actors, and the ability to link multiple spatiotemporal scales and sustainability levels. To overcome these challenges, the DAKIS provides a digital platform to support farmers' decision-making on land use and management via an integrative spatiotemporally explicit approach that analyses a wide range of data from various sources. The approach integrates remote and in situ sensors, artificial intelligence, modelling, stakeholder-stated demand for biodiversity and ecosystem services, and participatory sustainability impact assessment to address the diverse drivers affecting agricultural land use and management design, including natural and agronomic factors, economic and policy considerations, and socio-cultural preferences and settings. Ultimately, the DAKIS embeds the consideration of ecosystem services, biodiversity, and sustainability into farmers' decision-making and enables learning and progress towards site-adapted small-scale multifunctional and diversified agriculture while simultaneously supporting farmers' objectives and societal demands.}, 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} }