A metric‐based framework for climate‐smart conservation planning

Author:

Buenafe Kristine Camille V.1234ORCID,Dunn Daniel C.15,Everett Jason D.267,Brito‐Morales Isaac89ORCID,Schoeman David S.1011,Hanson Jeffrey O.12,Dabalà Alvise121314,Neubert Sandra215,Cannicci Stefano34,Kaschner Kristin16,Richardson Anthony J.26

Affiliation:

1. School of Earth and Environmental Sciences, The University of Queensland Brisbane Queensland Australia

2. School of Mathematics and Physics, The University of Queensland Brisbane Queensland Australia

3. Department of Biology University of Florence Florence Italy

4. The Swire Institute of Marine Science and Area of Ecology and Biodiversity School of Biological Sciences, The University of Hong Kong Hong Kong China

5. Centre for Biodiversity and Conservation Science (CBCS), The University of Queensland Brisbane Queensland Australia

6. Commonwealth Scientific and Industrial Research Organization (CSIRO) Environment, Queensland Biosciences Precinct (QBP) St Lucia Queensland Australia

7. Centre for Marine Science and Innovation (CMSI) The University of New South Wales Sydney New South Wales Australia

8. Betty and Gordon Moore Center for Science, Conservation International Arlington Virginia USA

9. Marine Science Institute, University of California Santa Barbara Santa Barbara California USA

10. Ocean Futures Research Cluster, School of Science, Technology and Engineering, University of the Sunshine Coast Maroochydore Queensland Australia

11. Centre for African Conservation Ecology, Department of Zoology Nelson Mandela University Gqeberha South Africa

12. Department of Biology Carleton University Ottawa Ontario Canada

13. Systems Ecology and Resource Management, Department of Organism Biology, Faculté des Sciences Université Libre de Bruxelles – ULB Brussels Belgium

14. Ecology and Biodiversity, Laboratory of Plant Biology and Nature Management, Biology Department Vrije Universiteit Brussel – VUB Brussels Belgium

15. Institute of Computer Science, Leipzig University Leipzig Germany

16. Department of Biometry and Environmental Systems Analysis Albert‐Ludwigs‐University of Freiburg Freiburg im Breisgau Germany

Abstract

AbstractClimate change is already having profound effects on biodiversity, but climate change adaptation has yet to be fully incorporated into area‐based management tools used to conserve biodiversity, such as protected areas. One main obstacle is the lack of consensus regarding how impacts of climate change can be included in spatial conservation plans. We propose a climate‐smart framework that prioritizes the protection of climate refugia—areas of low climate exposure and high biodiversity retention—using climate metrics. We explore four aspects of climate‐smart conservation planning: (1) climate model ensembles; (2) multiple emission scenarios; (3) climate metrics; and (4) approaches to identifying climate refugia. We illustrate this framework in the Western Pacific Ocean, but it is equally applicable to terrestrial systems. We found that all aspects of climate‐smart conservation planning considered affected the configuration of spatial plans. The choice of climate metrics and approaches to identifying refugia have large effects in the resulting climate‐smart spatial plans, whereas the choice of climate models and emission scenarios have smaller effects. As the configuration of spatial plans depended on climate metrics used, a spatial plan based on a single measure of climate change (e.g., warming) will not necessarily be robust against other measures of climate change (e.g., ocean acidification). We therefore recommend using climate metrics most relevant for the biodiversity and region considered based on a single or multiple climate drivers. To include the uncertainty associated with different climate futures, we recommend using multiple climate models (i.e., an ensemble) and emission scenarios. Finally, we show that the approaches we used to identify climate refugia feature trade‐offs between: (1) the degree to which they are climate‐smart, and (2) their efficiency in meeting conservation targets. Hence, the choice of approach will depend on the relative value that stakeholders place on climate adaptation. By using this framework, protected areas can be designed with improved longevity and thus safeguard biodiversity against current and future climate change. We hope that the proposed climate‐smart framework helps transition conservation planning toward climate‐smart approaches.

Funder

National Science Foundation

Publisher

Wiley

Subject

Ecology

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