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Using a coupled dynamic factor – random forest analysis (DFRFA) to reveal drivers of spatiotemporal heterogeneity in the semi-arid regions of southern Africa

Understanding the drivers of large-scale vegetation change is critical to managing landscapes and key to predicting how projected climate and land use changes will affect regional vegetation patterns. This study aimed to improve our understanding of the role, magnitude, and spatial distribution of t...

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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: Southworth, Jane, Bunting, Erin, Zhu, Likai, Ryan, Sadie J., Herrero, Hannah V., Waylen, Peter, Muñoz-Carpena, Rafael, Campo-Bescós, Miguel A., Kaplan, David
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2018
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6294365/
https://ncbi.nlm.nih.gov/pubmed/30550542
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0208400
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