作者
Adrian A Castellanos, Jerry W Huntley, Gary Voelker, A Michelle Lawing
发表日期
2019/4
期刊
Methods in Ecology and Evolution
卷号
10
期号
4
页码范围
481-492
简介
- A clear challenge for ecological niche modelling is determining how to best mitigate the effects of sampling bias from commonly collected biodiversity data. Recent approaches have focused on filtering occurrences in overrepresented regions based on geographic or environmental proximity.
- We tested the efficacy of filtering in geographic and environmental space using occurrence data from four species. Our evaluation strategies examined 14 distance measures in geographic and environmental spaces and eight combinations of environmental variables and their ordinations. This resulted in 78 datasets for each species, which we evaluated using area under the curve (AUC), the difference between training and testing AUC, omission rate, the true skill statistic, and Schoener's D to examine the effects of different filtering schemes.
- The degree of change produced by filtering on predicted suitability and evaluation …
学术搜索中的文章
AA Castellanos, JW Huntley, G Voelker, AM Lawing - Methods in Ecology and Evolution, 2019