WEGE: A new metric for ranking locations for biodiversity conservation. Issue 11 (26th August 2020)

• Record Type: Journal Article
• Authors: Farooq, Harith; Azevedo, Josué; Belluardo, Francesco; Nanvonamuquitxo, Cristóvão; Bennett, Dominic; Moat, Justin; Soares, Amadeu; Faurby, Søren; Antonelli, Alexandre
• Editors: Iacona, Gwen
• Is Part Of: Diversity & distributions. Volume 26:Issue 11(2020)
• Page Start: 1456
• Page End: 1466
• Publication Date: 2020-08-26
• Subjects: conservation -- EDGE -- KBAs -- Key Biodiversity Area -- policymaking -- prioritization -- WEGE; Biodiversity -- Periodicals; Biodiversity conservation -- Periodicals; 577
• DOI: 10.1111/ddi.13148
• Languages: English
• ISSNs: 1366-9516

Abstract

Abstract: Aim: Effective policymaking for biological conservation requires the identification and ranking of the most important areas for protection or management. One of the most frequently used systems for selecting priority areas is the Key Biodiversity Areas (hereafter KBAs), developed by the International Union for Conservation of Nature (IUCN). However, KBAs cannot be used to rank areas, potentially limiting their use when limited funding is available. To tackle this shortcoming and facilitate spatial prioritization, here we develop and validate the "WEGE index" (Weighted Endemism including Global Endangerment index), consisting of an adaptation of the EDGE score (Evolutionarily Distinct and Globally Endangered). WEGE allows the ranking of any set of locations according to the KBA guidelines and on a continuous scale. Location: Global. Methods: We calculated the EDGE score, Weighted Endemism, Evolutionary distinctiveness, Extinction risk and our newly developed WEGE index for all terrestrial species of amphibians, mammals and birds accessed by IUCN. We then compared the performance of each of those five indices at prioritizing areas according to the KBA guidelines. Results: We found that for all taxa surveyed, WEGE was consistently better at identifying areas that trigger KBA status. Main conclusions: In our analyses, WEGE outperformed all other methods and metrics designed for similar purposes. It can serve as a robust evidence‐based methodology to prioritize among otherwise equally qualified sites according to the KBA categories. WEGE can therefore support transparent, evidence‐based and biologically meaningful decision‐making for conservation priorities.