A mechanistic framework of enemy release

Author:

Brian Joshua I.1ORCID,Catford Jane A.123ORCID

Affiliation:

1. Department of Geography King's College London London UK

2. Fenner School of Environment & Society The Australian National University Canberra Australia

3. School of Agriculture, Food and Ecosystem Sciences The University of Melbourne Parkville Australia

Abstract

AbstractThe enemy release hypothesis (ERH) is the best‐known hypothesis explaining high performance (e.g. rapid population growth) of exotic species. However, the current framing of the ERH does not explicitly link evidence of enemy release with exotic performance. This leads to uncertainty regarding the role of enemy release in biological invasions. Here, we demonstrate that the effect of enemy release on exotic performance is the product of three factors: enemy impact, enemy diversity, and host adaptation. These factors are modulated by seven contexts: time since introduction, resource availability, phylogenetic relatedness of exotic and native species, host–enemy asynchronicity, number of introduction events, type of enemy, and strength of growth–defence trade‐offs. ERH‐focused studies frequently test different factors under different contexts. This can lead to inconsistent findings, which typifies current evidence for the ERH. For example, over 80% of meta‐analyses fail to consider ecological contexts which can alter study findings; we demonstrate this by re‐analysing a recent ERH synthesis. Structuring the ERH around factors and contexts promotes generalisable predictions about when and where exotic species may benefit from enemy release, empowering effective management. Our mechanistic factor–context framework clearly lays out the evidence required to support the ERH, unifies many enemy‐related invasion hypotheses, and enhances predictive capacity.

Funder

H2020 European Research Council

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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