ARPHA Preprints, doi: 10.3897/arphapreprints.e115383
D2.2 BESTMAP Conceptual Framework Design & Architecture
expand article infoGuy Ziv, Jodi Gunning, Tomáš Václavík§, Michael Beckmann|, Anne Paulus, Birgit Mueller, Meike Will#, Anna Cord¤, Stephanie Roilo¤, James Bullock«, Paul Evans», Cristina Domingo-Marimon˄, Joan Masó Pau˄
‡ University of Leeds, Leeds, United Kingdom§ Palacký University Olomouc, Olomouc, Czech Republic| Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany¶ Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany# Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Germany¤ Technische Universität Dresden, Dresden, Germany« UK Centre for Ecology & Hydrology, Wallingford, United Kingdom» UK Centre for Ecology and Hydrology, Wallingford, United Kingdom˄ CREAF, Bellaterra, Spain
Open Access
Abstract
This deliverable provides a General Framework for the BESTMAP Policy Impact Assessment Modelling (BESTMAP-PIAM) toolset. An update of the framework will be provided later in the project in Deliverable 2.4. 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.
Keywords
agriculture, ecological impact, policy,farms