ArticlePLoS biology2022
The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity.
Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- Meta-analysis reveals negative but highly variable impacts of invasive alien species across terrestrial insect orders.Nature communications · 2026Pooled it
- Reevaluating introduced herbivores in conservation.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- Reconsidering the role of introduced species in the climate-affected and highly invaded eastern Mediterranean.Conservation biology : the journal of the Society for Conservation Biology · 2026Article
- A general framework for predicting the ecological effects of range expansions in marine systems.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The impacts of biological invasions.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Assessing non-native and translocated species in three vital wetlands in NW Anatolia using the dispersal-origin-status-impact scheme.Scientific reports · 2026Article
- Expanding invasive species impact assessments to the ecosystem level with EEICAT.PLoS biology · 2026Article
- A Systems Perspective: How Social-Ecological Networks Can Improve Our Understanding and Management of Biological Invasions.Bioscience · 2026Review
- Article
- Multi-layer networks reveal changes in plant-bird interactions driven by invasive species.Communications biology · 2025Article
- Harms of introduced large herbivores outweigh benefits to native biodiversity.Nature communications · 2025Article
- Cultural integration of invasive species.npj biodiversity · 2025Review
- Parallels and discrepancies between non-native species introductions and human migration.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Global Impacts Dataset of Invasive Alien Species (GIDIAS).Scientific data · 2025Article
- Framing challenges and polarized issues in invasion science: toward an interdisciplinary agenda.Bioscience · 2024Review
- Eco-evolutionary experience and behavioral innovation in interactions with non-native species.iScience · 2024Article
- Risks posed by invasive species to the provision of ecosystem services in Europe.Nature communications · 2024Article
- Collating existing evidence on cumulative impacts of invasive plant species in riparian ecosystems of British Columbia, Canada: a systematic map protocol.Environmental evidence · 2023Article
- The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity.PLoS biology · 2022Article
Corrections and comments
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Authors and funding
26 authors at 17 institutions in 11 countries.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.