| Literature DB >> 25039238 |
Daniel G Gavin1, Matthew C Fitzpatrick2, Paul F Gugger3, Katy D Heath4, Francisco Rodríguez-Sánchez5, Solomon Z Dobrowski6, Arndt Hampe7,8, Feng Sheng Hu4, Michael B Ashcroft9, Patrick J Bartlein1, Jessica L Blois10, Bryan C Carstens11, Edward B Davis12, Guillaume de Lafontaine13, Mary E Edwards14, Matias Fernandez4, Paul D Henne15, Erin M Herring1, Zachary A Holden16, Woo-Seok Kong17, Jianquan Liu18, Donatella Magri19, Nicholas J Matzke20, Matt S McGlone21, Frédérik Saltré22, Alycia L Stigall23, Yi-Hsin Erica Tsai24, John W Williams25.
Abstract
Climate refugia, locations where taxa survive periods of regionally adverse climate, are thought to be critical for maintaining biodiversity through the glacial-interglacial climate changes of the Quaternary. A critical research need is to better integrate and reconcile the three major lines of evidence used to infer the existence of past refugia - fossil records, species distribution models and phylogeographic surveys - in order to characterize the complex spatiotemporal trajectories of species and populations in and out of refugia. Here we review the complementary strengths, limitations and new advances for these three approaches. We provide case studies to illustrate their combined application, and point the way towards new opportunities for synthesizing these disparate lines of evidence. Case studies with European beech, Qinghai spruce and Douglas-fir illustrate how the combination of these three approaches successfully resolves complex species histories not attainable from any one approach. Promising new statistical techniques can capitalize on the strengths of each method and provide a robust quantitative reconstruction of species history. Studying past refugia can help identify contemporary refugia and clarify their conservation significance, in particular by elucidating the fine-scale processes and the particular geographic locations that buffer species against rapidly changing climate.Entities:
Keywords: Last Glacial Maximum; climate change; migration; paleoecology; phylogeography; range dynamics; species distribution modeling
Mesh:
Year: 2014 PMID: 25039238 DOI: 10.1111/nph.12929
Source DB: PubMed Journal: New Phytol ISSN: 0028-646X Impact factor: 10.151