Human footprint with machine learning identifies risks of the invasive weed Conyza sumatrensis across land-use types under climate change
Biological invasions pose significant threats to ecosystem structure and function, disrupt ecosystem services, cause high economic losses, and negatively impact human well-being. However, accurate prediction of species distribution is a critical challenge in ecological and biodiversity conservation....
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Main Authors: | Hua Cheng, Kasper Johansen, Baocheng Jin, Shiqin Xu, Xuechun Zhao, Liqin Han, Matthew F. McCabe |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-09-01
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Series: | Global Ecology and Conservation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2351989425002586 |
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