Department of Biology, McGill University, Montreal, Quebec, H3A 1B1, Canada; School of Environment, McGill University, Montreal, Quebec, H3A 2A7, Canada.
Ecol Lett. 2013 Nov;16(11):1415, e6. doi: 10.1111/ele.12172. Epub 2013 Aug 23.
We address criticism that the Transport, Establishment, Abundance, Spread, Impact (TEASI) framework does not facilitate objective mapping of risk assessment methods nor defines best practice. We explain why TEASI is appropriate for mapping, despite inherent challenges, and how TEASI offers considerations for best practices, rather than suggesting one best practice.
我们回应了这样的批评,即交通、建立、丰度、扩散、影响(TEASI)框架不利于客观映射风险评估方法,也没有定义最佳实践。我们解释了为什么尽管存在固有挑战,但 TEASI 仍适合映射,以及 TEASI 如何为最佳实践提供考虑因素,而不是建议一种最佳实践。