scispace - formally typeset
G

Guy F. Midgley

Researcher at Stellenbosch University

Publications -  234
Citations -  34165

Guy F. Midgley is an academic researcher from Stellenbosch University. The author has contributed to research in topics: Climate change & Biodiversity. The author has an hindex of 66, co-authored 217 publications receiving 30649 citations. Previous affiliations of Guy F. Midgley include University of Cape Town & International Union for Conservation of Nature and Natural Resources.

Papers
More filters
Journal ArticleDOI

Forecasting Regional to Global Plant Migration in Response to Climate Change

TL;DR: Simulation of plant migration and local vegetation change by dynamic global vegetation models (DGVMs) is critical, yet fraught with challenges because theories about climate change and migration are limited by inadequate data.
Journal ArticleDOI

Planning for Climate Change: Identifying Minimum-Dispersal Corridors for the Cape Proteaceae

TL;DR: In this article, a quantitative method for identifying multiple corridors of connectivity through shifting habitat suitabilities that seeks to minimize dispersal demands first and then the area of land required is proposed.
Journal ArticleDOI

Vulnerability of African mammals to anthropogenic climate change under conservative land transformation assumptions

TL;DR: In this article, the sensitivity of 277 mammals at African scale to climate change at 10 0 resolution, using static LT assumptions in a ‘first-cut’ estimate, in the absence of credible future LT trends.
Journal ArticleDOI

Climate change impacts and adaptation in South Africa

TL;DR: In this article, the authors review current approaches and recent advances in research on climate impacts and adaptation in South Africa, focusing on cross-sectoral linkages in adaptation responses at a national level.
Journal ArticleDOI

Improving assessment and modelling of climate change impacts on global terrestrial biodiversity

TL;DR: Five ways in which substantial advances could be made in the next few years are identified: improving the accessibility and efficiency of biodiversity monitoring data, quantifying the main determinants of the sensitivity of species to climate change, incorporating community dynamics into projections of biodiversity responses, and improving the biophysical rule sets that define functional groupings of species in global models.