Trait-based inference of fragmentation-driven extinction risk
Julian Schrader · Johannes J. Le Roux · David L. Field · Sarah-Sophie Weil · Katarina C. Stuart · Hanlun Liu · Victor P. Zwiener · Melinda Pickup · Marcos B. Carlucci
期刊Trends in Ecology & Evolution
类型Opinion
发表2026-10
收录2026-10-14
被浏览…
关键词habitat fragmentationextinction riskspecies traitsbiodiversity lossconservation prioritization
栖息地破碎化是植物灭绝的主要原因之一,然而预测哪些物种最为脆弱仍然是一个重要的挑战。我们认为,可以通过植物的特征来推断种群之间的连通性,进而了解通过授粉和种子传播进行的基因流动情况。我们将这些特征与连通性特征结合起来,再加上繁殖系统、生活史特征以及景观环境等因素,从而对那些面临基因退化风险以及局部灭绝风险的物种进行排序。这一框架提供了一种早期预警的工具,有助于优先开展详细的种群遗传分析工作,并为识别在破碎化环境中最易受基因近亲繁殖和灭绝威胁的物种提供了可扩展的方法。
Habitat fragmentation is a leading cause of plant extinctions, yet predicting which species are most vulnerable remains a key challenge. We propose that population connectivity, and thus gene flow via pollination and seed dispersal, can be inferred from plant traits. We integrate these traits into a connectivity-trait dimension, which, together with breeding system, life-history traits, and landscape context, ranks species at risk of genetic erosion and local extinction, providing an early-warning triage tool. By linking traits to gene flow mechanisms, the framework helps prioritise investment in detailed population genetic analyses and provides a scalable tool to identify species most at risk of genetic inbreeding and extinction in fragmented landscapes.

@article{schrader2026,
author = {Julian Schrader and Johannes J. Le Roux and David L. Field and Sarah-Sophie Weil and Katarina C. Stuart and Hanlun Liu and Victor P. Zwiener and Melinda Pickup and Marcos B. Carlucci},
title = {Trait-based inference of fragmentation-driven extinction risk},
journal = {Trends in Ecology \& Evolution},
year = {2026},
doi = {10.1016/j.tree.2026.09.001},
publisher = {Elsevier BV},
}· END ·