Santini, LucaCornulier, ThomasBullock, James M.Palmer, Stephen C. F.White, Steven M.Hodgson, Jenny A.Bocedi, GretaTravis, Justin M. J.2016-06-032016-06-032016-07Santini, L, Cornulier, T, Bullock, J M, Palmer, S C F, White, S M, Hodgson, J A, Bocedi, G & Travis, J M J 2016, 'A trait-based approach for predicting species responses to environmental change from sparse data : how well might terrestrial mammals track climate change?', Global Change Biology, vol. 22, no. 7, pp. 2415-2424. https://doi.org/10.1111/gcb.132711354-1013http://hdl.handle.net/2164/6062Acknowledgements 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.10571773engSDG 13 - Climate ActionSDG 15 - Life on Landclimate change velocitydemographic modelsdispersalintegrodifference equationslife-history traitspopulation spread raterange shiftrangeShiftertrait spacevirtual speciesQH301 BiologyNatural Environment Research Council (NERC)NE/J008001/1QH301A trait-based approach for predicting species responses to environmental change from sparse data : how well might terrestrial mammals track climate change?Journal article10.1111/gcb.13271227