A novel index to aid in prioritizing habitats for site-based conservation.
Africa
GBIF
IUCN
biodiversity loss
multiple stressors
Journal
Ecology and evolution
ISSN: 2045-7758
Titre abrégé: Ecol Evol
Pays: England
ID NLM: 101566408
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
13
07
2021
revised:
03
03
2022
accepted:
09
03
2022
entrez:
31
3
2022
pubmed:
1
4
2022
medline:
1
4
2022
Statut:
epublish
Résumé
Funding biodiversity conservation strategies are usually minimal, thus prioritizing habitats at high risk should be conducted. We developed and tested a conservation priority index (CPI) that ranks habitats to aid in prioritizing them for conservation. We tested the index using 1897 fish species from 273 African inland lakes and 34 countries. In the index, lake surface area, rarity, and their International Union for Conservation of Nature (IUCN) Red List status were incorporated. We retrieved data from the Global Biodiversity Information Facility (GBIF) and IUCN data repositories. Lake Nyasa had the highest species richness (424), followed by Tanganyika (391), Nokoué (246), Victoria (216), and Ahémé (216). However, lakes Otjikoto and Giunas had the highest CPI of 137.2 and 52.1, respectively. Lakes were grouped into high priority (CPI > 0.5;
Identifiants
pubmed: 35356563
doi: 10.1002/ece3.8762
pii: ECE38762
pmc: PMC8956788
doi:
Banques de données
Dryad
['10.5061/dryad.4b8gthtcx']
Types de publication
Journal Article
Langues
eng
Pagination
e8762Informations de copyright
© 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.
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