Species distribution models (SDMs) are increasingly applied in conservation management
to predict suitable habitat for poorly known populations. High predictive performance of
SDMs is evident in validations performed within the model calibration area (interpolation),
but few studies have assessed SDM transferability to novel areas (extrapolation), particularly
across large spatial scales...
Species distribution models (SDMs) are increasingly applied in conservation management
to predict suitable habitat for poorly known populations. High predictive performance of
SDMs is evident in validations performed within the model calibration area (interpolation),
but few studies have assessed SDM transferability to novel areas (extrapolation), particularly
across large spatial scales...
Species distribution models (SDMs) are increasingly applied in conservation management to predict suitable habitat for poorly known populations. High predictive performance of SDMs is evident in validations performed within the model calibration area (interpolation), but few studies have assessed SDM transferability to novel areas (extrapolation), particularly across large spatial scales...
