利用网络理论理解和预测生物入侵。

Using Network Theory to Understand and Predict Biological Invasions.

机构信息

Department of Forest Ecology and Management, Swedish University of Agricultural Sciences, Skogsmarksgränd, SE901 83 Umeå, Sweden; Current address: Department of Renewable Resources, University of Alberta, 230D Earth Sciences Building, Edmonton, AB, Canada T6G 2E3.

The Bio-Protection Research Centre, Lincoln University, PO Box 84, Lincoln 7647, New Zealand.

出版信息

Trends Ecol Evol. 2019 Sep;34(9):831-843. doi: 10.1016/j.tree.2019.04.012. Epub 2019 May 30.

DOI:10.1016/j.tree.2019.04.012

PMID:31155422

Abstract

Understanding and predicting biological invasions is challenging because of the complexity of many interacting players. A holistic approach is needed with the potential to simultaneously consider all relevant effects and effectors. Using networks to describe the relevant anthropogenic and ecological factors, from community-level to global scales, promises advances in understanding aspects of invasion from propagule pressure, through establishment, spread, and ecological impact of invaders. These insights could lead to development of new tools for prevention and management of invasions that are based on species' network characteristics and use of networks to predict the ecological effects of invaders. Here, we review the findings from network ecology that show the most promise for invasion biology and identify pressing needs for future research.

摘要

理解和预测生物入侵具有挑战性，因为许多相互作用的因素十分复杂。需要采用整体方法，有可能同时考虑所有相关的影响和效应器。使用网络来描述相关的人为和生态因素，从社区级到全球尺度，有望在理解入侵的各个方面取得进展，包括传播体压力、建立、传播和入侵生物的生态影响。这些见解可以为入侵生物防治和管理开发新工具提供依据，这些工具基于物种的网络特征，并利用网络来预测入侵生物的生态影响。在这里，我们回顾了网络生态学的研究结果，这些结果为入侵生物学提供了最大的希望，并确定了未来研究的紧迫需求。