D3.1 Case Study Base Layer dataset for each of the case studies

ARPHA Preprints, doi: 10.3897/arphapreprints.e144084

Gabriela Popova^‡, Michael Beckmann^§, Miene-Marie Gastinger^|, Birgit Mueller^¶, Anne Paulus^|, Meike Will^#, Anna Cord^¤, Stephanie Roilo^¤, Cristina Domingo-Marimon^«, Fanny Langerwisch^», Tomáš Václavík^», Marek Bednář^», Guy Ziv^˄, Arjan Gosal^˄

‡ Pensoft Publishers, Sofia, Bulgaria§ Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany| Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany¶ UFZ, Leipzig, Germany# Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Germany¤ Technische Universität Dresden, Dresden, Germany« CREAF, Bellaterra, Spain» Palacký University Olomouc, Olomouc, Czech Republic˄ University of Leeds, Leeds, United Kingdom

Corresponding author: Gabriela Popova ( g.popova@pensoft.net )

© Gabriela Popova, Michael Beckmann, Miene-Marie Gastinger, Birgit Mueller, Anne Paulus, Meike Will, Anna Cord, Stephanie Roilo, Cristina Domingo-Marimon, Fanny Langerwisch, Tomáš Václavík, Marek Bednář, Guy Ziv, Arjan Gosal.

This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Citation: Popova G, Beckmann M, Gastinger M-M, Mueller B, Paulus A, Will M, Cord A, Roilo S, Domingo-Marimon C, Langerwisch F, Václavík T, Bednář M, Ziv G, Gosal A (2024) D3.1 Case Study Base Layer dataset for each of the case studies. ARPHA Preprints. https://doi.org/10.3897/arphapreprints.e144084

Abstract

The Case Study Base Layer, described in this deliverable, is a harmonised geospatial database spanning across the five case study areas of BESTMAP: South Moravia (Czech Republic), Mulde (Germany), Humber (Great Britain), Backa (Serbia), and Catalonia (Spain). It is based on the Preliminary Case Study Base Layer (MS3) and includes geospatial information on climatic and soil conditions, biodiversity, land use/land cover (including crop types), farm structure and socio-economic data. It serves as a base for biophysical ecosystem service (ES) models as well as socio-economic statistical models. Thereby, the Case Study Base Layer will be crucial for mapping Farming System Archetypes (FSAs) and for building a common agent-based modeling (ABM) framework across all case studies. This report accompanies the data in Deliverable D3.1 and describes the compilation, harmonization, meta-data structure, secure storage and access of case study baye layer data using the BESTMAP instance of the UFZ GeoNetwork.

Keywords

project report