A trophic interaction framework for identifying the invasive capacity of novel organisms

A trophic interaction framework for identifying the invasive capacity of novel organisms
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DOI:
10.1111/2041-210x.12817
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发表时间:
2017-12
影响因子:
6.6
通讯作者:
Marcin Rafał Penk;Wolf‐Christian Saul;J. Dick;I. Donohue;M. Alexander;Stefan M. Linzmaier;J. Jeschke
Marcin Rafał Penk;Wolf‐Christian Saul;J. Dick;I. Donohue;M. Alexander;Stefan M. Linzmaier;J. Jeschke
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Marcin Rafał Penk;Wolf‐Christian Saul;J. Dick;I. Donohue;M. Alexander;Stefan M. Linzmaier;J. Jeschke

文献摘要

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新生物(如非本地物种、转基因生物)入侵的可能性和对接收生物群落的组成和功能的影响取决于它们开发资源和/或避免捕食的能力。虽然基于新物种与本地类似物的功能反应(人均消费率作为资源密度的函数)的比较来评估入侵风险已经越来越受欢迎,但如果替代猎物和潜在捕食者没有现实地代表,它可能会受到破坏。在这里,我们提出了一个概念框架,使严格的营养特性,有利于入侵成功的新的生物体,无论他们的营养位置和他们可能的生态影响,鉴于他们的到来和建立。我们在这里专注于消耗,但我们的框架也可以用于自养能量获取,并扩展到非营养和间接相互作用。该框架使入侵风险评估的营养链的子集的结构化和优先级的选择。它是基于觅食理论和入侵生态学中比较功能反应的进展。它甚至可以在没有常驻比较生物和资源或捕食者仅部分已知的情况下使用。我们的方法增强了物种筛选的预测能力,从而在所有类型的新生物的共同框架下推进了入侵的预防和管理。
The likelihood and impacts of invasions by novel organisms (e.g. non‐native species, genetically modified organisms) on the composition and functioning of receiving biological communities hinges on their capacity to exploit resources and/or avoid predation relative to resident counterparts. While assessment of invasion risk based on the comparison of functional responses (per‐capita consumption rate as a function of resource density) of novel species with native analogues has been gaining popularity, it may be undermined if alternative prey and potential predators are not represented realistically. Here, we propose a conceptual framework that enables rigorous identification of trophic traits conducive to invasion success by novel organisms—irrespective of their trophic position—and their likely ecological impacts, given their arrival and establishment. We focus on consumption here, but our framework can also be used for autotrophic energy acquisition, and extended to non‐trophic and indirect interactions. The framework enables a structured and prioritized selection of subsets of trophic links for invasion risk assessment. It is based on foraging theory and advances in comparative functional responses in invasion ecology. It can even be used in the absence of a resident comparator organism and when resources or predators are only partly known. Our approach enhances the predictive power of species screening, and thus advances prevention and management of invasions under a common framework for all types of novel organisms.