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• W4223417816 abstract "Biodiversity underlies ecosystem resilience, ecosystem function, sustainable economies, and human well-being. Understanding how biodiversity sustains ecosystems under anthropogenic stressors and global environmental change will require new ways of deriving and applying biodiversity data. A major challenge is that biodiversity data and knowledge are scattered, biased, collected with numerous methods, and stored in inconsistent ways. The Group on Earth Observations Biodiversity Observation Network (GEO BON) has developed the Essential Biodiversity Variables (EBVs) as fundamental metrics to help aggregate, harmonize, and interpret biodiversity observation data from diverse sources. Mapping and analyzing EBVs can help to evaluate how aspects of biodiversity are distributed geographically and how they change over time. EBVs are also intended to serve as inputs and validation to forecast the status and trends of biodiversity, and to support policy and decision making. Here, we assess the feasibility of implementing Genetic Composition EBVs (Genetic EBVs), which are metrics of within-species genetic variation. We review and bring together numerous areas of the field of genetics and evaluate how each contributes to global and regional genetic biodiversity monitoring with respect to theory, sampling logistics, metadata, archiving, data aggregation, modeling, and technological advances. We propose four Genetic EBVs: (i) Genetic Diversity; (ii) Genetic Differentiation; (iii) Inbreeding; and (iv) Effective Population Size (Ne ). We rank Genetic EBVs according to their relevance, sensitivity to change, generalizability, scalability, feasibility and data availability. We outline the workflow for generating genetic data underlying the Genetic EBVs, and review advances and needs in archiving genetic composition data and metadata. We discuss how Genetic EBVs can be operationalized by visualizing EBVs in space and time across species and by forecasting Genetic EBVs beyond current observations using various modeling approaches. Our review then explores challenges of aggregation, standardization, and costs of operationalizing the Genetic EBVs, as well as future directions and opportunities to maximize their uptake globally in research and policy. The collection, annotation, and availability of genetic data has made major advances in the past decade, each of which contributes to the practical and standardized framework for large-scale genetic observation reporting. Rapid advances in DNA sequencing technology present new opportunities, but also challenges for operationalizing Genetic EBVs for biodiversity monitoring regionally and globally. With these advances, genetic composition monitoring is starting to be integrated into global conservation policy, which can help support the foundation of all biodiversity and species' long-term persistence in the face of environmental change. We conclude with a summary of concrete steps for researchers and policy makers for advancing operationalization of Genetic EBVs. The technical and analytical foundations of Genetic EBVs are well developed, and conservation practitioners should anticipate their increasing application as efforts emerge to scale up genetic biodiversity monitoring regionally and globally." @default.
• W4223417816 created "2022-04-14" @default.
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• W4223417816 date "2022-04-12" @default.
• W4223417816 modified "2023-10-18" @default.
• W4223417816 title "Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (<scp>EBVs</scp>) for genetic composition" @default.
• W4223417816 cites W1608236432 @default.
• W4223417816 cites W1619623942 @default.
• W4223417816 cites W1643717963 @default.
• W4223417816 cites W1674567571 @default.
• W4223417816 cites W1772281102 @default.
• W4223417816 cites W1905487223 @default.
• W4223417816 cites W1908957618 @default.
• W4223417816 cites W1938169794 @default.
• W4223417816 cites W1964606251 @default.
• W4223417816 cites W1967816932 @default.
• W4223417816 cites W1969746417 @default.
• W4223417816 cites W1973670960 @default.
• W4223417816 cites W1974234250 @default.
• W4223417816 cites W1974595975 @default.
• W4223417816 cites W1976167484 @default.
• W4223417816 cites W1977583661 @default.
• W4223417816 cites W1977601452 @default.
• W4223417816 cites W1978944166 @default.
• W4223417816 cites W1981970518 @default.
• W4223417816 cites W1984434323 @default.
• W4223417816 cites W1987356373 @default.
• W4223417816 cites W1990074132 @default.
• W4223417816 cites W1990275569 @default.
• W4223417816 cites W1995701770 @default.
• W4223417816 cites W1996114887 @default.
• W4223417816 cites W2001268288 @default.
• W4223417816 cites W2006055706 @default.
• W4223417816 cites W2008130168 @default.
• W4223417816 cites W2011164389 @default.
• W4223417816 cites W2013817681 @default.
• W4223417816 cites W2013911401 @default.
• W4223417816 cites W2014921023 @default.
• W4223417816 cites W2018437621 @default.
• W4223417816 cites W2019403534 @default.
• W4223417816 cites W2021321310 @default.
• W4223417816 cites W2028256931 @default.
• W4223417816 cites W2030226179 @default.
• W4223417816 cites W2030818676 @default.
• W4223417816 cites W2036571340 @default.
• W4223417816 cites W2046799846 @default.
• W4223417816 cites W2047417387 @default.
• W4223417816 cites W2048069305 @default.
• W4223417816 cites W2050886653 @default.
• W4223417816 cites W2054285823 @default.
• W4223417816 cites W2055625638 @default.
• W4223417816 cites W2055642906 @default.
• W4223417816 cites W2058701464 @default.
• W4223417816 cites W2058947207 @default.
• W4223417816 cites W2059189547 @default.
• W4223417816 cites W2061920292 @default.
• W4223417816 cites W2074809151 @default.
• W4223417816 cites W2080040748 @default.
• W4223417816 cites W2092512759 @default.
• W4223417816 cites W2094427796 @default.
• W4223417816 cites W2095204652 @default.
• W4223417816 cites W2096889454 @default.
• W4223417816 cites W2098126593 @default.
• W4223417816 cites W2099085143 @default.
• W4223417816 cites W2099697526 @default.
• W4223417816 cites W2114850135 @default.
• W4223417816 cites W2116811579 @default.
• W4223417816 cites W2117489889 @default.
• W4223417816 cites W2119444539 @default.
• W4223417816 cites W2120141270 @default.
• W4223417816 cites W2120474334 @default.
• W4223417816 cites W2122403114 @default.
• W4223417816 cites W2122606427 @default.

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