Please use this identifier to cite or link to this item:
|Title:||Drivers of extinction risk in African mammals: the interplay of distribution state, human pressure, conservation response and species biology|
|Authors:||DI MARCO Moreno; BUCHANAN Graeme, M.; SZANTOI ZOLTAN; HOLMGREN Milena; GROTTOLO MARASINI Gabriele; GROSS DORIT; TRANQUILLI Sandra; BOITANI Luigi; RONDININI Carlo|
|Citation:||PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES vol. 369 no. 1643 p. 20130198|
|Type:||Articles in periodicals and books|
|Abstract:||Although conservation intervention has reversed the decline of some species, our success is outweighed by a much larger number of species moving towards extinction. Extinction risk modelling can identify correlates of risk and species not yet recognized to be threatened. Here, we use machine learning models to identify correlates of extinction risk in African terrestrial mammals using a set of variables belonging to four classes: species distribution state, human pressures, conservation response and species biology. We derived information on distribution state and human pressure from satellite- borne imagery. Variables in all four classes were identified as important predictors of extinction risk, and interactions were observed among variables in different classes (e.g. level of protection, human threats, species distribution ranges). Species biology had a key role in mediating the effect of external variables. The model was 90% accurate in classifying extinction risk status of species, but in a few cases the observed and modelled extinction risk mismatched. Species in this condition might suffer from an incorrect classification of extinction risk (hence require reassessment). An increased availability of satellite imagery combined with improved resolution and classification accuracy of the resulting maps will play a progressively greater role in conservation monitoring.|
|JRC Directorate:||Sustainable Resources|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.