气候变化领域集成服务门户(CCPortal): Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition

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DOI	10.1111/brv.12852
	Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition
	Hoban, Sean; Archer, Frederick, I; Bertola, Laura D.; Bragg, Jason G.; Breed, Martin F.; Bruford, Michael W.; Coleman, Melinda A.; Ekblom, Robert; Funk, W. Chris; Grueber, Catherine E.; Hand, Brian K.; Jaffe, Rodolfo; Jensen, Evelyn; Johnson, Jeremy S.; Kershaw, Francine; Liggins, Libby; MacDonald, Anna J.; Mergeay, Joachim; Miller, Joshua M.; Muller-Karger, Frank; O'Brien, David; Paz-Vinas, Ivan; Potter, Kevin M.; Razgour, Orly; Vernesi, Cristiano; Hunter, Margaret E.
发表日期	2022
ISSN	1464-7931
EISSN	1469-185X
起始页码	1511
结束页码	1538
卷号	97 期号:4
英文摘要	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 (N-e). 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.
英文关键词	biodiversity monitoring; environmental policy; indicators; metadata; interoperability; molecular ecology
语种	英语
WOS研究方向	Biology
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000781686900001
来源期刊	BIOLOGICAL REVIEWS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280889
作者单位	National Oceanic Atmospheric Admin (NOAA) - USA; City University of New York (CUNY) System; City College of New York (CUNY); Flinders University South Australia; Cardiff University; Southern Cross University; NSW Department of Primary Industries; Colorado State University; University of Sydney; Exponent; Newcastle University - UK; Massey University; Australian National University; Research Institute for Nature & Forest; KU Leuven; State University System of Florida; University of South Florida; Institut de Recherche pour le Developpement (IRD); Universite de Toulouse; Universite Federale Toulouse Midi-Pyrenees (ComUE); Universite Toulouse III - Paul Sabatier; Ecole Nationale Formation Agronomique (ENSFEA); Centre National de la Recherche Scientifique (CNRS); CNRS - Institute of Ecology & Environment (INEE); North Carolina State University; University of Exeter; Fondazione Edmund Mach; United States Department of the Interior; United States Geological Survey; Australian Antarctic Division
推荐引用方式 GB/T 7714	Hoban, Sean,Archer, Frederick, I,Bertola, Laura D.,et al. Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition[J],2022,97(4).
APA	Hoban, Sean.,Archer, Frederick, I.,Bertola, Laura D..,Bragg, Jason G..,Breed, Martin F..,...&Hunter, Margaret E..(2022).Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition.BIOLOGICAL REVIEWS,97(4).
MLA	Hoban, Sean,et al."Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition".BIOLOGICAL REVIEWS 97.4(2022).