Abstract
Increasing the extent of protected areas (PA) through 30x30 and other area-based conservation initiatives can help to achieve global biodiversity conservation goals across all biodiversity levels. However, intraspecific genetic variation, the foundational level of biodiversity, is rarely explicitly considered in PA design or quality performance assessments. Repurposing existing genetic data could rapidly inform area-based conservation planning and improve the preservation of genetic variation. Through a global compilation of population-level nuclear genetic data (>2 million individuals; 36,356 populations; 2,809 species), we identified both data-rich areas, and substantial geographic and taxonomic gaps. These gaps are within many protected areas and hotspots of species biodiversity, and may preclude robust protection of genetic diversity. Addressing data unevenness through efforts to collect, gather, harmonize and share genetic data globally could help support integration of genetic information into PA design, PA performance assessments, and genetically-oriented global conservation policies.
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Increasing the extent of protected areas (PA) through 30x30 and other area-based conservation initiatives can help to achieve global biodiversity conservation goals across all biodiversity levels. However, intraspecific genetic variation, the foundational level of biodiversity, is rarely explicitly considered in PA design or quality performance assessments. Repurposing existing genetic data could rapidly inform area-based conservation planning and improve the preservation of genetic variation. Through a global compilation of population-level nuclear genetic data (>2 million individuals; 36,356 populations; 2,809 species), we identified both data-rich areas, and substantial geographic and taxonomic gaps. These gaps are within many protected areas and hotspots of species biodiversity, and may preclude robust protection of genetic diversity. Addressing data unevenness through efforts to collect, gather, harmonize and share genetic data globally could help support integration of genetic information into PA design, PA performance assessments, and genetically-oriented global conservation policies.
https://doi.org/10.32942/X2ZC84
Biodiversity, Ecology and Evolutionary Biology, Environmental Policy, Genetics, Life Sciences
Protected areas, genetic data, macrogenetics, Kunming-Montreal Global Biodiversity Framework, 30x30, area-based conservation, conservation genetics, biodiversity conservation
Published: 2023-10-26 21:10
Last Updated: 2023-10-27 01:10
CC-By Attribution-NonCommercial-NoDerivatives 4.0 International
Conflict of interest statement:
None
Data and Code Availability Statement:
Supplementary data files 1 and 2 will be deposited in an open repository once the paper will be accepted for publication in a journal.
Language:
English
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