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A DSS based on ecological-economic modelling to facilitate the implementation of biodiversity offsets and agri-environment schemes in grasslands

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dc.contributor.authorSturm, Astrid
dc.contributor.authorWaetzold, Frank
dc.contributor.authorWestphal, Luise
dc.contributor.authorQuerhammer, Lisa
dc.contributor.editorGandorfer, Markus
dc.contributor.editorHoffmann, Christa
dc.contributor.editorEl Benni, Nadja
dc.contributor.editorCockburn, Marianne
dc.contributor.editorAnken, Thomas
dc.contributor.editorFloto, Helga
dc.date.accessioned2022-02-24T13:34:52Z
dc.date.available2022-02-24T13:34:52Z
dc.date.issued2022
dc.description.abstractIn 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.en
dc.identifier.isbn978-3-88579-711-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/38412
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-317
dc.subjectecological-economic modelling
dc.subjectsimulation
dc.subjectoptimization
dc.subjectagri-environment schemes
dc.subjectimpact mitigation regulation
dc.subjectbiodiversity offsets
dc.titleA DSS based on ecological-economic modelling to facilitate the implementation of biodiversity offsets and agri-environment schemes in grasslandsen
dc.typeText/Conference Paper
gi.citation.endPage288
gi.citation.publisherPlaceBonn
gi.citation.startPage283
gi.conference.date21.-22. Februar 2022
gi.conference.locationTänikon, Online

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