Uneven genetic data limits biodiversity assessments in protected areas globally
Ivan Paz Vinas  1@  , Amy G. Vandergast  2  , Chloé Schmidt  3  , Deborah M. Leigh  4  , Simon Blanchet  5  , René D. Clark  6  , Eric D. Crandall  7  , Hanne De Kort  8  , Jeff Falgout  9  , Colin Garroway  10, 11  , Eleana Karachaliou  12  , Francine Kershaw  13  , David O'brien  14  , Malin L. Pinsky  15  , Gernot Segelbacher  16  , Margaret E. Hunter  17  
1 : Laboratoire d'Ecologie des Hydrosystèmes Naturels et Anthropisés
Université Claude Bernard-Lyon I - UCBL (FRANCE), CNRS, École Nationale des Travaux Publics de l'État [ENTPE]
2 : U.S. Geological Survey, Western Ecological Research Center
3 : German Centre for Integrative Biodiversity Research (iDiv)
4 : Swiss Federal Research Institute for Forest, Snow and Landscape Research WSL
5 : Station d'Ecologie Théorique et Expérimentale
CNRS
6 : Department of Biology, Drexel University;
7 : Department of Biology, Pennsylvania State University
8 : Division of Ecology, Evolution and Biodiversity Conservation, Biology Department KU Leuven
9 : U.S. Geological Survey, Science Analytics and Synthesis
10 : University of Manitoba
11 : University of Manitoba [Winnipeg]
12 : Department of Biological Sciences, University of Manitoba
13 : Oceans Division, Natural Resources Defense Counci
14 : NatureScot
15 : Department of Ecology and Evolutionary Biology, University of California Santa Cruz
16 : Wildlife Ecology and Management; University Freiburg
17 : U.S. Geological Survey, Wetland and Aquatic Research Center

Global conservation targets now include protecting genetic variation within species. Yet few studies examine whether protected areas (PAs) include genetically-diverse populations across multiple species at the global scale. A first step is understanding the availability of population genetic data that could be used in these assessments. We surveyed georeferenced population-level nuclear genetic data across continents and marine biomes (36,354 populations, 2809 species), and found substantial geographic and taxonomic gaps. Most sampled populations were concentrated in Europe and North America, with the largest gaps in Africa and Asia. For most major taxonomic groups, genetic data were only available for < 1% of known species. Globally, 52% of PAs did not contain any genetically sampled populations. These major gaps highlight the need for targeted genetic data collection, harmonization, and sharing to facilitate integrating genetic data in PA assessments and area-based conservation initiatives like 30x30, and better support global genetic conservation targets.


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