Understanding local plant extinctions before it is too late: bridging evolutionary genomics with global ecology

Author:

Exposito‐Alonso Moi123ORCID

Affiliation:

1. Department of Plant Biology Carnegie Institution for Science Stanford CA 94305 USA

2. Department of Biology Stanford University Stanford CA 94305 USA

3. Department of Global Ecology Carnegie Institution for Science Stanford CA 94305 USA

Abstract

SummaryUnderstanding evolutionary genomic and population processes within a species range is key to anticipating the extinction of plant species before it is too late. However, most models of biodiversity risk under global change do not account for the genetic variation and local adaptation of different populations. Population diversity is critical to understanding extinction because different populations may be more or less susceptible to global change and, if lost, would reduce the total diversity within a species. Two new modeling frameworks advance our understanding of extinction from a population and evolutionary angle: Rapid climate change‐driven disruptions in population adaptation are predicted from associations between genomes and local climates. Furthermore, losses of population diversity from global land‐use transformations are estimated by scaling relationships of species' genomic diversity with habitat area. Overall, these global eco‐evolutionary methods advance the predictability – and possibly the preventability – of the ongoing extinction of plant species.

Funder

Carnegie Institution for Science

National Institute of Food and Agriculture

National Science Foundation of Sri Lanka

NIH Office of the Director

U.S. Department of Energy

Publisher

Wiley

Subject

Plant Science,Physiology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3