A DSS based on ecological-economic modelling to facilitate the implementation of biodiversity offsets and agri-environment schemes in grasslands
Autor(en):
Zusammenfassung
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.
- Vollständige Referenz
- BibTeX
Sturm, A., Waetzold, F., Westphal, L. & Querhammer, L.,
(2022).
A DSS based on ecological-economic modelling to facilitate the implementation of biodiversity offsets and agri-environment schemes in grasslands.
In:
Gandorfer, M., Hoffmann, C., El Benni, N., Cockburn, M., Anken, T. & Floto, H.
(Hrsg.),
42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft.
Bonn:
Gesellschaft für Informatik e.V..
(S. 283-288).
@inproceedings{mci/Sturm2022,
author = {Sturm, Astrid AND Waetzold, Frank AND Westphal, Luise AND Querhammer, Lisa},
title = {A DSS based on ecological-economic modelling to facilitate the implementation of biodiversity offsets and agri-environment schemes in grasslands},
booktitle = {42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft},
year = {2022},
editor = {Gandorfer, Markus AND Hoffmann, Christa AND El Benni, Nadja AND Cockburn, Marianne AND Anken, Thomas AND Floto, Helga} ,
pages = { 283-288 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Sturm, Astrid AND Waetzold, Frank AND Westphal, Luise AND Querhammer, Lisa},
title = {A DSS based on ecological-economic modelling to facilitate the implementation of biodiversity offsets and agri-environment schemes in grasslands},
booktitle = {42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft},
year = {2022},
editor = {Gandorfer, Markus AND Hoffmann, Christa AND El Benni, Nadja AND Cockburn, Marianne AND Anken, Thomas AND Floto, Helga} ,
pages = { 283-288 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
| Dateien | Groesse | Format | Anzeige | |
|---|---|---|---|---|
| GIL2022_Sturm_283-288.pdf | 647.8Kb | Öffnen |
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Mehr Information
ISBN: 978-3-88579-711-1
ISSN: 1617-5468
Datum: 2022
Sprache:
(en)
(en)
Typ: Text/Conference Paper

