Scale effects of climatic predictors in species distribution models of the Okavango River Basin: implications for conservation and management planning under climate change

Thesis

climate models and/or statistical downscaling techniques produces projected data for which there is no matching observed data sets for comparison, especially over Africa. The untested assumption is that the high-resolution climate models and statistical downscaling techniques generate more realistic historical climate and climate change projections, than do the low-resolution models that are evaluated by observational data. The influence of the resolution of climatic predictors on predicting ...

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Authors: Tshwene-Mauchaza, B

• DOI: 10.5287/ora-vekwpk2dg
• Type of award: DPhil
• Level of award: Doctoral
• Awarding institution: University of Oxford
• Language: English
• Keywords: stacked species distribution modelling; macroecological models; predictor spatial resolution; species richness; variable importance; species distribution models’s; Okavango river basin
• Subjects: Climate change and biodiversity