Integrating biodiversity assessments into local conservation planning: the importance of assessing suitable data sources

10.24072/pcjournal.331 - Peer Community Journal, Volume 3 (2023), article no. e98.

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Strategic Environmental Assessment (SEA) of land-use planning is a fundamental tool to minimize environmental impacts of artificialization. In this context, Systematic Conservation Planning (SCP) tools based on Species Distribution Models (SDM) are frequently used for the elaboration of spatially exhaustive biodiversity diagnostics. Despite the paradigm of “garbage in - garbage out” that emphasises the importance of testing the suitability of data for SDM and priority conservation areas, the assessment of database sources remains relatively rare. In addition, the lack of practical recommendations for the use of open-access databases by SEA stakeholders remains a problem. The aim of this study is to explore the quality of data sources that can be used in SEA to assess priority conservation areas in SEA. The study used data for nine taxonomic groups (commonly used in inventories for environmental impact assessment) and three databases available to SEA stakeholders. Three local administrative entities in very different socio-ecological contexts were used to examine three main issues : (i) the suitability of local versus regional or country databases for assessing conservation priorities, (ii) differences among taxonomic groups or territories in terms of the suitability of databases, (iii) the importance of the quality of databases for the application of SDM to assess priority conservation areas. Our study provides several clear messages for potential users of open-access databases. First, the need for prudence in the interpretation of biodiversity maps. Second, the collection of individual databases at the country scale is necessary to complete local data and ensure the suitability of SDM in a local context. Third, a data driven approach can lead to the use of notably different species communities to identify priority conservation areas when compared to the community in the original database. Finally, we propose a workflow to guide SEA stakeholders through the process of data rationalization and use in conservation planning.

Published online:
DOI: 10.24072/pcjournal.331
Keywords: Data-driven approach, Species Distribution Models (SDM), Strategic Environmental Assessment (SEA), Systematic Conservation Planning (SCP)
Ferraille, Thibaut 1, 2; Kerbiriou, Christian 3, 4; Bigard, Charlotte 5; Claireau, Fabien 3, 4; Thompson, John D. 1

1 CEFE, Université de Montpellier, CNRS, EPHE, IRD, Montpellier, France
2 Naturalia environnement, Avignon, France
3 Centre d'Ecologie et des Sciences de la Conservation (CESCO), Muséum national d'Histoire naturelle, Centre National de la Recherche Scientifique, Sorbonne Université, Paris, France
4 Centre d'Ecologie et des Sciences de la Conservation (CESCO), Muséum national d'Histoire naturelle, Station de Biologie Marine, Concarneau, France
5 Agence Bretonne de la Biodiversité, Brest, France
License: CC-BY 4.0
Copyrights: The authors retain unrestricted copyrights and publishing rights
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Ferraille, Thibaut; Kerbiriou, Christian; Bigard, Charlotte; Claireau, Fabien; Thompson, John D. Integrating biodiversity assessments into local conservation planning: the importance of assessing suitable data sources. Peer Community Journal, Volume 3 (2023), article  no. e98. doi : 10.24072/pcjournal.331.

Peer reviewed and recommended by PCI : 10.24072/pci.ecology.100539

Conflict of interest of the recommender and peer reviewers:
The recommender in charge of the evaluation of the article and the reviewers declared that they have no conflict of interest (as defined in the code of conduct of PCI) with the authors or with the content of the article.

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