| dc.contributor |
University of Aberdeen.Other Applied Health Sciences |
|
| dc.contributor |
University of Aberdeen.Institute of Biological & Environmental Sciences |
|
| dc.contributor |
University of Aberdeen.Biological Sciences |
|
| dc.contributor |
University of Aberdeen.Marine Alliance for Science and Technology for Scotland (MASTS) |
|
| dc.contributor |
University of Aberdeen.Earth Systems and Environmental Sciences |
|
| dc.contributor |
University of Aberdeen.Medical Statistics |
|
| dc.creator |
Santini, Luca |
|
| dc.creator |
Cornulier, Thomas |
|
| dc.creator |
Bullock, James M. |
|
| dc.creator |
Palmer, Stephen C. F. |
|
| dc.creator |
White, Steven M. |
|
| dc.creator |
Hodgson, Jenny A. |
|
| dc.creator |
Bocedi, Greta |
|
| dc.creator |
Travis, Justin M. J. |
|
| dc.date |
2016-06-03T11:40:02Z |
|
| dc.date |
2016-06-03T11:40:02Z |
|
| dc.date |
2016-07 |
|
| dc.date.accessioned |
2022-05-24T06:09:02Z |
|
| dc.date.available |
2022-05-24T06:09:02Z |
|
| dc.identifier |
Santini , 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.13271 |
|
| dc.identifier |
1354-1013 |
|
| dc.identifier |
PURE: 63415727 |
|
| dc.identifier |
PURE UUID: 37039473-a4a1-40e0-9420-23b6abe36a29 |
|
| dc.identifier |
PubMed: 27073017 |
|
| dc.identifier |
PubMed: 27073017 |
|
| dc.identifier |
Scopus: 85027958916 |
|
| dc.identifier |
http://hdl.handle.net/2164/6062 |
|
| dc.identifier |
https://doi.org/10.1111/gcb.13271 |
|
| dc.identifier |
22 |
|
| dc.identifier |
7 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/117817 |
|
| dc.description |
Acknowledgements 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. |
|
| dc.description |
Peer reviewed |
|
| dc.description |
Publisher PDF |
|
| dc.format |
10 |
|
| dc.format |
application/pdf |
|
| dc.language |
eng |
|
| dc.relation |
Global Change Biology |
|
| dc.rights |
© 2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/ |
|
| dc.subject |
SDG 13 - Climate Action |
|
| dc.subject |
SDG 15 - Life on Land |
|
| dc.subject |
climate change velocity |
|
| dc.subject |
demographic models |
|
| dc.subject |
dispersal |
|
| dc.subject |
integrodifference equations |
|
| dc.subject |
life-history traits |
|
| dc.subject |
population spread rate |
|
| dc.subject |
range shift |
|
| dc.subject |
rangeShifter |
|
| dc.subject |
trait space |
|
| dc.subject |
virtual species |
|
| dc.subject |
QH301 Biology |
|
| dc.subject |
Natural Environment Research Council (NERC) |
|
| dc.subject |
NE/J008001/1 |
|
| dc.subject |
QH301 |
|
| dc.title |
A trait-based approach for predicting species responses to environmental change from sparse data : how well might terrestrial mammals track climate change? |
|
| dc.type |
Journal article |
|