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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Detalles Bibliográficos
Autores principales: Southworth, Jane, Bunting, Erin, Zhu, Likai, Ryan, Sadie J., Herrero, Hannah V., Waylen, Peter, Muñoz-Carpena, Rafael, Campo-Bescós, Miguel A., Kaplan, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294365/
https://www.ncbi.nlm.nih.gov/pubmed/30550542
http://dx.doi.org/10.1371/journal.pone.0208400

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294365/
https://www.ncbi.nlm.nih.gov/pubmed/30550542
http://dx.doi.org/10.1371/journal.pone.0208400

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