Publications exploring the drivers of biodiversity, projecting the consequences of anthropogenic impacts, and informing conservation and management policies.
machine learning
Seaweed productivity is strongly related to climatic variables, peaking at temperate latitudes and exhibiting exceptionall...
biodiversity
Future expansions of marine forests in response to changing climate will likely elicit major changes in biodiversity and e...
biodiversity
Stacked species distribution modelling identifies regions of high and low species richness and endemicity of marine forest...
conservation
Biophysical modelling tuned with data on species dispersal ecology predicted low connectivity for a vast spectrum of biodi...
climate change
Biophysical modelling revealed that connectivity differs sharply among ecological groups, from highly connected (e.g., fis...
climate change
Tolerance to low oxygen conditions is greater in smaller than larger, and less mobile than mobile taxa. The most vulnerabl...
climate change
Machine learning distribution modelling demonstrates the benefits of complying with the Paris Agreement for 10 commerciall...