A trait-based approach for predicting species responses to environmental change from sparse data: how well might terrestrial mammals track climate change?
LS was supported by two STSMs by the COST Action ES1101 ”Harmonising Global Biodiversity Modelling“ (Harmbio), supported by COST (European Cooperation in Science and Technology). JMB and SMW were funded by CEH projects NEC05264 and NEC05100. JMJT and SCFP are grateful for the support of the Natural Environment Research Council UK (NE/J008001/1). LS, JAH and JMJT conceived the original idea. LS, JAH, JMB, TC & JMJT designed the study
; LS collected the data
; LS and TC performed the statistical analyses
; LS conducted the integrodifference modelling assisted by JMB and SMW. LS conducted the individual-based modelling assisted by SCFP. LS led the writing supported by JMJT, JMB, SCFP, SMW, TC, JAH and GB.
Department of Biology and Biotechnologies, Sapienza Università di Roma, Viale dell'Università 32, Rome, Italy; Institute of Biological and Environmental Sciences, University of Aberdeen, Zoology Building, Tillydrone Avenue, Aberdeen, United Kingdom; NERC Centre for Ecology & Hydrology, Benson Lane, Wallingford, United Kingdom; Wolfson Centre for Mathematical Biology, Mathematical Institute, Radcliffe Observatory Quarter, Woodstock Road, Oxford, United Kingdom; Department of Evolution, Ecology and Behaviour, University of Liverpool, Biosciences Building, Crown Street, Liverpool, United Kingdom
Recommended Citation:
Santini L.,Cornulier T.,Bullock J.M.,et al. A trait-based approach for predicting species responses to environmental change from sparse data: how well might terrestrial mammals track climate change?[J]. Global Change Biology,2016-01-01,22(7)