PERCEVAL: Ecosystem service provisioning in the Grand-Est, France

DOI

This data set was prepared as a product for the project Perceptions and Valuation of Ecosystem Services in Forests (Perceptions et valorisation des services écosystémiques en forêt) (PERCEVAL), funded under the national research program Transition in Agriculture, Food Supply and the Environment in Territories (Transition en Territoires de l'Agriculture, l'Alimentation et l'Environnement) (TETRAE) of the French National Institute of Research for Agriculture, Health, and the Environment (Institut National de Recherche pour l’Agriculture, l’Alimentation, et l’Environnement) (INRAE).

Ecosystem services are at the forefront of ecosystem management, and are a featured component of each research themes of the French National Institute of Research for Agriculture, Health, and the Environment (INRAE). The project Perceptions and Valuation of Ecosystem Services in Forests (PERCEVAL), funded by INRAE under the national research program Transition in Agriculture, Food Supply and the Environment in Territories, focuses on the measurement and valuation of ecosystem services in the Grand Est region of France, including the preferences of individuals for forest ecosystem services and potential markets for them (demand) and how ecosystem services are provided in the region (supply).

In this data set, we provide a baseline database of the supply or provisioning of ecosystem services in the Grand Est region of France. The data estimates a set of twenty-one indicators of seven ecosystem services in the Grand Est, including agriculture production potential, biodiversity, aboveground and belowground carbon storage, livestock grazing potential, net ecosystem productivity, pollination potential, and soil loss by water erosion. The analysis uses a mix of land use and land cover data, established relationships between ecosystem services and land use/reflectance data, and published maps of ecosystem service supply from the scientific literature. Additionally, we measure the interactions – how a change in one service leads to a change in another – between all ecosystem services considered in the study, and the contributions of public forests and parks/reserves to the overall provisioning of ecosystem services in the Grand Est.

This data set includes the code and spatial GIS layers needed to construct the final data set of ecosystem service provisioning. Metadata and a step-by-step guide to transforming the spatial data, aligning and resampling the spatial data layers (“rasters”), measuring the interactions between services, and plotting the results are embedded in the code. The study was conducted using R v.4.5.0, with the ‘terra’ package for the spatial analysis, and ‘Hmisc’ and ‘corrplot’ packages for calculating and plotting correlation coefficients. (Some preliminary work was conducted in QGIS Desktop v3.34.15 and a Unix shell client. See the documentation embedded in the code for details.)

For more details of the data, models, interpretation and discussion of our findings, a working paper for the data can be accessed at: https://beta.u-strasbg.fr/WP/2026/2026-01.pdf

R, 4.5.0

Identifier
DOI https://doi.org/10.57745/NG3QSF
Metadata Access https://entrepot.recherche.data.gouv.fr/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.57745/NG3QSF
Provenance
Creator Shanafelt, David W ORCID logo
Publisher Recherche Data Gouv
Contributor Shanafelt, David W; Université de Strasbourg; Centre national de la recherche scientifique; Université de Lorraine; INRAE; AgroParisTech; Entrepôt-Catalogue Recherche Data Gouv
Publication Year 2024
Rights etalab 2.0; info:eu-repo/semantics/openAccess; https://spdx.org/licenses/etalab-2.0.html
OpenAccess true
Contact Shanafelt, David W (BETA UMR ; Université de Lorraine, Université de Strasbourg, AgroParisTech, CNRS, INRAE ; France)
Representation
Resource Type Dataset
Format application/pdf; application/zip
Size 187648; 17543495192; 5176566807; 28634050; 44984442
Version 2.0
Discipline Geosciences; Earth and Environmental Science; Environmental Research; Natural Sciences