Thesis / Dissertation

Improving species distribution models using extreme value theory and climate dataset ensembles

Stephen Blair Stewart, Craig Nitschke (ed.)

Published : 2020

Abstract

The development of climate datasets at fine spatial and temporal scales has commonly been driven by the need to better understand vegetation distributions and ecological systems. While a wide range of global, national and regional climate datasets have been developed over the last two decades, they are rarely compared directly in the ecological literature. This thesis evaluates a range of climate interpolation techniques and investigates how the spatial and temporal characteristics of climate datasets may be utilised to improve the predictive performance of plant species distribution models (SDM). A series of spline-based and geostatistical methods for interpolating temperature variables a..

View full abstract