Details zur Publikation

Kategorie Textpublikation
Referenztyp Preprints
DOI 10.3897/arphapreprints.e82404
Lizenz creative commons licence
Titel (primär) Deliverable D2.2 BESTMAP Conceptual Framework Design & Architecture
Autor Ziv, G.; Gunning, J.; Václavík, T.; Beckmann, M. ORCID logo ; Paulus, A. ORCID logo ; Mueller, B. ORCID logo ; Will, M.; Cord, A.; Roilo, S.; Bullock, J.; Evans, P.; Domingo-Marimon, C.; Masó Pau, J.
Quelle ARPHA Preprints
Erscheinungsjahr 2022
Department CLE; OESA
Sprache englisch
Topic T5 Future Landscapes
Abstract This deliverable provides a General Framework for the BESTMAP Policy Impact Assessment Modelling (BESTMAP-PIAM) toolset. The BESTMAP-PIAM is based on the notion of defining (a) a typology of agricultural systems, with one (or more) representative case study (CS) in each major system; (b) mapping all individual farms within the case study to a Farm System Archetype (FSA) typology; (c) model the adoption of agri-environmental schemes (AES) within the spatially-mapped FSA population using Agent Based Models (ABM), based on literature and a survey with sufficient representative sample in each FSA of each CS, to elucidate the non-monetary drivers underpinning AES adoption and the relative importance of financial and non-financial/social/identity drivers; (d) linking AES adoption to a set of biophysical, ecological and socio-economic impact models; (e) upscaling the CS level results to EU scale; (f) linking the outputs of these models to indicators developed for the post-2020 CAP output, result and impact reports; (g) visualizing outputs and providing a dashboard for policy makers to explore a range of policy scenarios, focusing on cost-effectiveness of different AES.
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Ziv, G., Gunning, J., Václavík, T., Beckmann, M., Paulus, A., Mueller, B., Will, M., Cord, A., Roilo, S., Bullock, J., Evans, P., Domingo-Marimon, C., Masó Pau, J. (2022):
Deliverable D2.2 BESTMAP Conceptual Framework Design & Architecture
ARPHA Preprints 10.3897/arphapreprints.e82404