ARPHA Preprints, doi: 10.3897/arphapreprints.e123365
Spatial opportunities and constraints for green infrastructure network design
expand article infoDouglas Spencer, Alexandra Marques, Clara Veerkamp, Martijn van der Marel, Peter Verburg§, Anandi Sarita Namasivayam§, Moreno Di Marco|, Martin Jung, Heini Kujala#, Louise O'Connor, Piero Visconti¤, Aafke Schipper«
‡ PBL Netherlands Environmental Assessment Agency, Department of Global Sustainability., The Hague, Netherlands§ Vrije Universiteit Amsterdam, Amsterdam, Netherlands| Sapienza Università di Roma, Rome, Italy¶ International Institute for Applied Systems Analysis, Laxenburg, Austria# University of Helsinki, Helsinki, Finland¤ Biodiversity and Natural Resources Program (BNR), International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria« PBL Netherlands Environmental Assessment Agency, Department of Global Sustainability. Radboud University, Institute for Water and Wetland Research, Department of Environmental Science., The Hague. Nijmegen., Netherlands
Open Access
Abstract

Opportunity costs, the foregone economic benefits from alternative activities or uses of a resource on a particular site, represent one of multiple options to approximate costs of nature conservation and can be used alongside biodiversity and ecosystem services data in spatial conservation prioritisation analyses. However, such cost data are not yet available across Europe. We created a European opportunity cost layer for productive (arable, pastoral and forestry) and urban lands at a spatial resolution of 1 km2, using land, resource, and residential rents. We mapped the opportunity costs of productive lands based on (sub)national land and resource rent data, which we allocated to the grid level based on gridded agricultural and forestry production data combined with country-specific commodity prices. We converted empirical data on property rents specific to housing type and city into area-standardised and city-specific rents and then applied these values to all cities and urban area within the respective country. When multiple cities from a single country were represented in the empirical dataset, a mean value of all the corresponding cities was used.

Keywords
Systematic conservation planning, nature conservation costs, opportunity costs
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