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EICAT+ 框架能够对外来物种对本地生物多样性的积极影响进行分类。

The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity.

机构信息

Department of Biology, University of Fribourg, Fribourg, Switzerland.

Department of Integrated Biology, Estación Biológica de Doñana (EBD), CSIC, Sevilla, Spain.

出版信息

PLoS Biol. 2022 Aug 16;20(8):e3001729. doi: 10.1371/journal.pbio.3001729. eCollection 2022 Aug.

Abstract

Species introduced through human-related activities beyond their native range, termed alien species, have various impacts worldwide. The IUCN Environmental Impact Classification for Alien Taxa (EICAT) is a global standard to assess negative impacts of alien species on native biodiversity. Alien species can also positively affect biodiversity (for instance, through food and habitat provisioning or dispersal facilitation) but there is currently no standardized and evidence-based system to classify positive impacts. We fill this gap by proposing EICAT+, which uses 5 semiquantitative scenarios to categorize the magnitude of positive impacts, and describes underlying mechanisms. EICAT+ can be applied to all alien taxa at different spatial and organizational scales. The application of EICAT+ expands our understanding of the consequences of biological invasions and can inform conservation decisions.

摘要

通过人类相关活动引入其原生范围以外的物种,被称为外来物种,它们在全球范围内造成了各种影响。IUCN 外来物种环境影响分类(EICAT)是评估外来物种对本地生物多样性的负面影响的全球标准。外来物种也可以对生物多样性产生积极影响(例如,通过提供食物和栖息地或促进扩散),但目前还没有标准化和基于证据的系统来对积极影响进行分类。我们通过提出 EICAT+来填补这一空白,EICAT+ 使用 5 个半定量情景来划分积极影响的程度,并描述潜在机制。EICAT+可应用于不同空间和组织尺度的所有外来类群。EICAT+的应用扩展了我们对生物入侵后果的理解,并为保护决策提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bfbd/9380921/e56b8bff6270/pbio.3001729.g001.jpg

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