期刊
NEOBIOTA
卷 -, 期 62, 页码 279-299出版社
PENSOFT PUBLISHERS
DOI: 10.3897/neobiota.62.52261
关键词
amphibians; EICAT; environmental impact; invasive species; socio-economic impact; SEICAT; study complexity
资金
- DSI-NRF Centre of Excellence for Invasion Biology
- ERA-Net BiodivERsA of INVAXEN
- Stellenbosch University's Social, Behavioural and Education Research (SBER) committee [2019-13163]
- National Research Foundation of South Africa
- Stellenbosch University
The environmental and socio-economic impacts of invasive species have long been recognised to be unequal, with some species being benign while others are disastrous. Until recently there was no recognised standard impact scoring framework with which to compare impacts of species from very different taxa. The advent of the Environmental Impact Classification for Alien Taxa (EICAT) and Socio-Economic Impact Classification of Alien Taxa (SEICAT) schemes allows for the possibility of assessing impact through a standard approach. However, both these schemes are still in their infancy and the associated costs of the research that informs them is unknown. We aimed to determine the study costs and complexity associated with assessing invasive species' socio-economic and environmental impacts. We used amphibians as a model group to investigate papers from which EICAT and SEICAT scores could be drawn up to 2019. Our analysis shows that studies that resulted in higher impact scores were more costly. Furthermore, the costs of studies were best predicted by their complexity and the time taken to complete them. If impact scores from EICAT and SEICAT are allowed to inform policy, then we need to carefully consider whether species with low scores represent true impact, or require more research investment and time. Policy makers needing accurate assessments will need to finance larger, more complex, and rigorous studies. Assessing impacts in low and middle income countries may need investment using international research collaborations and capacity building with scientists from high income areas.
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