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P317 - 42. GIL-Jahrestagung 2022 - Fokus: Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft

https://dl.gi.de/handle/20.500.12116/38372
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Auflistung P317 - 42. GIL-Jahrestagung 2022 - Fokus: Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft nach Schlagwort "agri-environment schemes"

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  • Konferenzbeitrag
    A DSS based on ecological-economic modelling to facilitate the implementation of biodiversity offsets and agri-environment schemes in grasslands
    (42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft, 2022) Sturm, Astrid; Waetzold, Frank; Westphal, Luise; Querhammer, Lisa
    In Europe, the decline of biodiversity is primarily a result of agricultural intensification. Especially grasslands show an increasingly poor conservation status whereas – if appropriately managed – extensive grasslands belong to the species-richest habitats in Europe. We present DSS-Ecopay AllerGruen®, a further development of the previous versions of DSS-Ecopay®. DSS-Ecopay AllerGruen® is based on a spatiotemporally explicit ecological-economic modelling procedure to assess the ecological effectiveness and cost-effectiveness of grassland measures on species and habitats. It is designed for small-scale regional applications as a tool to support the planning of grassland measures but also to be used in consultations with stakeholders by a local conservation foundation and the local nature conservation authorities. The software can be utilized to analyze the cost-effectiveness and ecological effectiveness of over 2000 grassland measures on target species and habitats for designing biodiversity offsets and agri-environment schemes.