Trew, Brittany T. ORCID: https://orcid.org/0000-0002-0649-828X, Lees, Alexander C ORCID: https://orcid.org/0000-0001-7603-9081, Edwards, David P., Early, Regan and Maclean, Ilya M. D.
(2024)
Identifying climate‐smart tropical Key Biodiversity Areas for protection in response to widespread temperature novelty.
Conservation Letters.
e13050.
ISSN 1755-263X
Abstract
Key Biodiversity Areas (KBAs) are a cornerstone of 21st‐century area‐based conservation targets. In tropical KBAs, biodiversity is potentially at high risk from climate change, because most species reside within or beneath the canopy, where small increases in temperature can lead to novel climate regimes. We quantify novelty in temperature regimes by modeling hourly temperatures below the forest canopy across tropical KBAs between 1990 and 2019. We find that up to 66% of KBAs with tropical forests have recently transitioned to novel temperature regimes. Nevertheless, 34% of KBAs are providing refuge from novelty, 58% of which are not protected. By conducting the first pan‐tropical analyses of changes in below‐canopy temperature conditions in KBAs, we identify KBAs that are acting as climate refugia and should be considered for expansion of the conservation network in response to the post‐2020 Global Biodiversity Framework target to conserve 30% of land area by 2030.
Item Type: |
Article
(Article)
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Peer-reviewed: |
Yes
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Date Deposited: |
15 Oct 2024 08:53
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Publisher: |
Wiley |
Additional Information: |
This is an open access article published in Conservation Letters, by Wiley. |
Divisions: |
Faculties > Science and Engineering > Department of Natural Sciences |
Subject terms: |
microclimate, tropical biodiversity, climate change, Key Biodiversity Areas, conservation prioritization, climate novelty |
Data Access Statement: |
Global hourly climate data are available from https://cds.climate.copernicus.eu/. Environmental parameters include (a) leaf area index and surface reflectance available from https://www.ncei.noaa.gov/data/avhrr-land-leaf-area-index-and-fapar/, (b) global habitat types available from https://www.esa-landcover-cci.org/, (c) vegetation height available from https://webmap.ornl.gov/ogc/, (d) soil types available from https://www.soilgrids.org, and (e) digital elevation model available from https://www.usgs.gov/centers/eros/science/usgs-eros-archive-digital-elevation-shuttle-radar-topography-mission-srtm-1. The microclimate model is freely available for download and adaptation via a GitHub repository: https://github.com/ilyamaclean/microclimf. The global tropical forest monitoring dataset is available from https://forobs.jrc.ec.europa.eu/TMF. Temperature records used for validation are available from the global SoilTemp dataset on request: https://www.soiltempproject.com/the-soiltemp-database/. Protected area shapefiles are freely available from the Protected Planet database: https://www.protectedplanet.net. Key Biodiversity Area shapefiles are available on request: www.keybiodiversityareas.org. The code used for the analysis is published online (available at https://doi.org/10.5281/zenodo.10997880) with examples of the open access datasets needed to reproduce the results shown here. The mechanistic microclimate model is freely available to use in the microclimf package (Maclean & Klinges, 2023) for R: https://github.com/ilyamaclean/microclimf. |
URI: |
https://e-space.mmu.ac.uk/id/eprint/636181 |
DOI: |
https://doi.org/10.1111/conl.13050 |
ISSN |
1755-263X |
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