Matthew Granger

Matthew’s work aims to guide conservation actions for data-deprived species on the brink of extinction.

We can only learn so much about the ecology of a species if it only exists in small remnant populations after a severe range collapse. Matthew’s work aims to use alternative data sources, including historical, fossil and food species data, to gain ecological insights into the habitat quality and ecological needs of endangered species which find themselves in this situation. These include some of the worlds most threatened mammals: the Hainan gibbon, Javan rhino and Sumatran rhino.

 Recently, as part of ZSLs Hainan Gibbon Project, Matthew has been modelling the distribution of tree species important to the Hainan gibbon, with an aim to project these into future climate scenarios to estimate how their distribution may change in future decades, and to advise on which areas of forest are of high priority to maintain, restore or reconnect.