Browsing by Author "Southworth, Jane"
Now showing items 1-4 of 4
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Beyond precipitation: physiographic gradients dictate the relative importance of environmental drivers on savanna vegetation
Campo-Bescós, Miguel
; Muñoz Carpena, Rafael ; Kaplan, David A.; Southworth, Jane; Zhu, Likai; Waylen, Peter (Public Library of Science, 2013)
Artículo / Artikulua 
Background: 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 ... -
Combined spatial and temporal effects of environmental controls on long-term monthly NDVI in the Southern Africa savanna
Campo-Bescós, Miguel ; Muñoz Carpena, Rafael ; Southworth, Jane; Zhu, Likai; Waylen, Peter; Bunting, Erin (MDPI, 2013)
Artículo / Artikulua
Deconstructing the drivers of large-scale vegetation change is critical to predicting and managing projected climate and land use changes that will affect regional vegetation cover in degraded or threated ecosystems. We ... -
Demonstrating correspondence between decision-support models and dynamics of real-world environmental systems
Huffaker, Ray; Muñoz Carpena, Rafael ; Campo-Bescós, Miguel ; Southworth, Jane (Elsevier, 2016)
Artículo / Artikulua
There are increasing calls to audit decision-support models used for environmental policy to ensure that they correspond with the reality facing policy makers. Modelers can establish correspondence by providing empirical ... -
Using a coupled dynamic factor-random forest analysis (DFRFA) to reveal drivers of spatiotemporal heterogeneity in the semi-arid regions of southern Africa
Southworth, Jane; Bunting, Erin; Zhu, Likai; Ryan, Sadie J.; Herrero, Hannah V.; Waylen, Peter; Muñoz Carpena, Rafael ; Campo-Bescós, Miguel ; Kaplan, David A. (Public Library of Science, 2018)
Artículo / Artikulua
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 ...
