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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Bibliographische Detailangaben
Veröffentlicht in:PLoS One
Hauptverfasser: Southworth, Jane, Bunting, Erin, Zhu, Likai, Ryan, Sadie J., Herrero, Hannah V., Waylen, Peter, Muñoz-Carpena, Rafael, Campo-Bescós, Miguel A., Kaplan, David
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2018
Schlagworte:
Research Article
Online Zugang: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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