A standard approach for including climate change responses in IUCN Red List assessments

Author:

Mancini Giordano1ORCID,Santini Luca1ORCID,Cazalis Victor23ORCID,Akçakaya H. Reşit45ORCID,Lucas Pablo M.16ORCID,Brooks Thomas M.578ORCID,Foden Wendy910ORCID,Di Marco Moreno1ORCID

Affiliation:

1. Department of Biology and Biotechnologies “Charles Darwin,” Sapienza University of Rome Rome Italy

2. German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany

3. Leipzig University Leipzig Germany

4. Department of Ecology and Evolution Stony Brook University New York New York USA

5. IUCN Species Survival Commission (SSC) Gland Switzerland

6. Departamento de Biología Vegetal y Ecología Universidad de Sevilla Sevilla Spain

7. World Agroforestry Center (ICRAF) University of The Philippines Los Baños Los Baños Philippines

8. Institute for Marine and Antarctic Studies University of Tasmania Hobart Tasmania Australia

9. Cape Research Centre South African National Parks Cape Town South Africa

10. Global Change Biology Group, Department of Botany and Zoology University of Stellenbosch Stellenbosch South Africa

Abstract

AbstractThe International Union for Conservation of Nature (IUCN) Red List is a central tool for extinction risk monitoring and influences global biodiversity policy and action. But, to be effective, it is crucial that it consistently accounts for each driver of extinction. Climate change is rapidly becoming a key extinction driver, but consideration of climate change information remains challenging for the IUCN. Several methods can be used to predict species’ future decline, but they often fail to provide estimates of the symptoms of endangerment used by IUCN. We devised a standardized method to measure climate change impact in terms of change in habitat quality to inform criterion A3 on future population reduction. Using terrestrial nonvolant tetrapods as a case study, we measured this impact as the difference between the current and the future species climatic niche, defined based on current and future bioclimatic variables under alternative model algorithms, dispersal scenarios, emission scenarios, and climate models. Our models identified 171 species (13% out of those analyzed) for which their current red‐list category could worsen under criterion A3 if they cannot disperse beyond their current range in the future. Categories for 14 species (1.5%) could worsen if maximum dispersal is possible. Although ours is a simulation exercise and not a formal red‐list assessment, our results suggest that considering climate change impacts may reduce misclassification and strengthen consistency and comprehensiveness of IUCN Red List assessments.

Publisher

Wiley

Subject

Nature and Landscape Conservation,Ecology,Ecology, Evolution, Behavior and Systematics

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