The 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. This article is protected by copyright. All rights reserved.

A standard approach for including climate change responses in IUCN Red List assessments / Mancini, Giordano; Santini, Luca; Cazalis, Victor; Reşit Akçakaya, H.; Lucas, Pablo M.; Brooks, Thomas M.; Foden, Wendy; DI MARCO, Moreno. - In: CONSERVATION BIOLOGY. - ISSN 0888-8892. - (2023). [10.1111/cobi.14227]

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

Giordano Mancini
Primo
;
Luca Santini
Secondo
;
Pablo M. Lucas;Moreno Di Marco
Ultimo
2023

Abstract

The 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. This article is protected by copyright. All rights reserved.
2023
IUCN; Red List of Threatened Species; climate change; conservation; extinction risk; species distribution models
01 Pubblicazione su rivista::01a Articolo in rivista
A standard approach for including climate change responses in IUCN Red List assessments / Mancini, Giordano; Santini, Luca; Cazalis, Victor; Reşit Akçakaya, H.; Lucas, Pablo M.; Brooks, Thomas M.; Foden, Wendy; DI MARCO, Moreno. - In: CONSERVATION BIOLOGY. - ISSN 0888-8892. - (2023). [10.1111/cobi.14227]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1696979
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