遗传多样性
生物多样性
濒危物种
栖息地破坏
生态学
人口
消光(光学矿物学)
人类世
气候变化
保护遗传学
栖息地
适应性
生物
地理
环境资源管理
环境科学
遗传学
人口学
微卫星
基因
社会学
古生物学
等位基因
作者
Moisés Expósito‐Alonso,Tom R. Booker,Lucas Czech,Tadashi Fukami,Lauren Gillespie,Shannon Hateley,Christopher C. Kyriazis,Patricia L. M. Lang,Laura Leventhal,David Nogués‐Bravo,Veronica Pagowski,Megan Ruffley,Jeffrey P. Spence,Sebastian E. Toro Arana,Clemens L. Weiß,Erin K. Zess
标识
DOI:10.1101/2021.10.13.464000
摘要
More species than ever before are at risk of extinction due to anthropogenic habitat loss and climate change. But even species that are not threatened have seen reductions in their populations and geographic ranges, likely impacting their genetic diversity. Although preserving genetic diversity is key to maintaining adaptability of species, we lack predictive tools and global estimates of genetic diversity loss across ecosystems. By bridging theories of biodiversity and population genetics, we introduce a mathematical framework to understand the loss of naturally occurring DNA mutations within decreasing habitat within a species. Analysing genome-wide variation data of 10,095 geo-referenced individuals from 20 plant and animal species, we show that genome-wide diversity follows a power law with geographic area (the mutations-area relationship), which can predict genetic diversity loss in spatial computer simulations of local population extinctions. Given pre-21 st century values of ecosystem transformations, we estimate that over 10% of genetic diversity may already be lost, surpassing the United Nations targets for genetic preservation. These estimated losses could rapidly accelerate with advancing climate change and habitat destruction, highlighting the need for forecasting tools that facilitate implementation of policies to protect genetic resources globally.
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