Articles
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3 weeks ago |
biorxiv.org | Thomas Lake |David Moeller
AbstractDeveloping accurate and cost-effective methods to detect and predict the spread of invasive species remains an ongoing challenge. Species distribution models (SDMs) are used to predict invasion under current and future climates. However, occurrence datasets are often spatially and temporally biased because they are collected in an unstructured and opportunistic manner.
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