Clustered versus catastrophic global vertebrate declines
Brian Leung (),
Anna L. Hargreaves,
Dan A. Greenberg,
Brian McGill,
Maria Dornelas and
Robin Freeman
Additional contact information
Brian Leung: McGill University
Anna L. Hargreaves: McGill University
Dan A. Greenberg: Simon Fraser University
Brian McGill: University of Maine
Maria Dornelas: University of St Andrews
Robin Freeman: Institute of Zoology, Zoological Society of London
Nature, 2020, vol. 588, issue 7837, 267-271
Abstract:
Abstract Recent analyses have reported catastrophic global declines in vertebrate populations1,2. However, the distillation of many trends into a global mean index obscures the variation that can inform conservation measures and can be sensitive to analytical decisions. For example, previous analyses have estimated a mean vertebrate decline of more than 50% since 1970 (Living Planet Index2). Here we show, however, that this estimate is driven by less than 3% of vertebrate populations; if these extremely declining populations are excluded, the global trend switches to an increase. The sensitivity of global mean trends to outliers suggests that more informative indices are needed. We propose an alternative approach, which identifies clusters of extreme decline (or increase) that differ statistically from the majority of population trends. We show that, of taxonomic–geographic systems in the Living Planet Index, 16 systems contain clusters of extreme decline (comprising around 1% of populations; these extreme declines occur disproportionately in larger animals) and 7 contain extreme increases (around 0.4% of populations). The remaining 98.6% of populations across all systems showed no mean global trend. However, when analysed separately, three systems were declining strongly with high certainty (all in the Indo-Pacific region) and seven were declining strongly but with less certainty (mostly reptile and amphibian groups). Accounting for extreme clusters fundamentally alters the interpretation of global vertebrate trends and should be used to help to prioritize conservation efforts.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://www.nature.com/articles/s41586-020-2920-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:588:y:2020:i:7837:d:10.1038_s41586-020-2920-6
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/s41586-020-2920-6
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().