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Using Global Red List Data to Inform Localised Research and Conservation Priorities—A Case Study in the Republic of Seychelles

Authors :
Robert W. Bullock
Henriette M. V. Grimmel
Ellie E. Moulinie
Dillys K. Pouponeau
James S. E. Lea
Source :
Diversity, Vol 14, Iss 8, p 681 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Global Red List assessments are powerful tools for informing large-scale conservation decision-making processes, however, they can also be used to inform more localised research and conservation priorities. Here, a conservation status assessment was conducted for the marine vertebrate biodiversity of two recently designated marine protected areas in the Republic of Seychelles. International Union for Conservation of Nature (IUCN) Red List assessments were compiled and trends in data analysed for the 524 species recorded locally. Findings suggest that 5.5–23.1% of all marine vertebrate biodiversity at the site is threatened or near-threatened with extinction (combined as ‘elevated risk’), and highlights sharks and rays as contributing two thirds (67.9%) to the ‘elevated risk’ biodiversity of the site. Fishing activities constitute the largest threat to every ‘elevated risk’ species using the site, with sharks and rays being most impacted. Species richness analysis across major habitat types evidence the high value of coral reef areas to almost all species and the importance of adjacent deep-water areas for ‘elevated risk’ species. Theoretical national assessments showed that the majority of globally ER species remained in the same Red List category in their respective national assessment. This study demonstrates the value of global Red List data for optimising research efforts and conservation practices on a localised scale and for informing the design and zonation of marine protected areas.

Details

Language :
English
ISSN :
14242818
Volume :
14
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Diversity
Publication Type :
Academic Journal
Accession number :
edsdoj.938b0b5fd5a4ddabb0871424c5624ec
Document Type :
article
Full Text :
https://doi.org/10.3390/d14080681