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Importance of spatio–temporal connectivity to maintain species experiencing range shifts
Abstract
Climate change can affect the habitat resources available to species by changing habitat quantity, suitability and spatial configuration, which largely determine population persistence in the landscape. In this context, dispersal is a central process for species to track their niche. Assessments of the amount of reachable habitat (ARH) using static snap‐shots do not account, however, for the temporal overlap of habitat patches that may enhance stepping‐stone effects. Here, we quantified the impacts of climate change on the ARH using a spatio–temporal connectivity model. We first explored the importance of spatio–temporal connectivity relative to purely spatial connectivity in a changing climate by generating virtual species distributions and analyzed the relative effects of changes in habitat quantity, suitability and configuration. Then, we studied the importance of spatio–temporal connectivity in three vertebrate species with divergent responses to climate change in North America (grey wolf, Canadian lynx and white‐tailed deer). We found that the spatio–temporal connectivity could enhance the stepping‐stone effect for species predicted to experience range contractions, and the relative importance of the spatio–temporal connectivity increased with the reduction in habitat quantity and suitability. Conversely, for species that are likely to expand their ranges, spatio–temporal connectivity had no additional contribution to improve the ARH. We also found that changes in habitat amount (quantity and suitability) were more influential than changes in habitat configuration in determining the relative importance of spatio–temporal connectivity. We conclude that spatio–temporal connectivity may provide less biased and more realistic estimates of habitat connectivity than purely spatial connectivity.
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Moving the field of connectivity science toward dynamic assessments has been identified as an important research priority.
“Moving the field of connectivity science toward dynamic assessments has been identified as an important research priority, a goal that motivated this Special Issue [27][28][29][30].”
From Circuitscape in julia: empowering dynamic approaches to connectivity assessment (2021) · cites this paper as [29]
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Circuitscape in julia: empowering dynamic approaches to connectivity assessment
Hall, K. R., Anantharaman, R., Landau, V. A., Clark, M., Dickson, B. G., Jones, A., Platt, J., Edelman, A., & Shah, V. B. (2021) · Land · doi:10.3390/land10030301 · Cited by 115
megaSDM: Integrating dispersal and time-step analyses into species distribution models
Shipley, B. R., Bach, R., Do, Y., Strathearn, H., McGuire, J. L., & Dilkina, B. (2022) · Ecography · doi:10.1111/ecog.05450 · Cited by 80
Metadata
- Authors
- Huang, J., Andrello, M., Martensen, A. C., Saura, S., Liu, D., He, J., & Fortin, M.
- Affiliations
- School of Resources and Environment Sciences, Wuhan Univ. CN‐430079 Wuhan PR China
- MARBEC, Univ. de Montpellier, CNRS, IFREMER, IRD Sète France
- Centro de Ciências da Natureza, Univ. Federal de São Carlos Brazil
- Depto de Sistemas y Recursos Naturales, ETSI Montes, Forestal y del Medio Natural, Univ. Politécnica de Madrid, Madrid Spain
- Dept of Ecology and Evolutionary Biology, Univ. of Toronto Toronto ON Canada
- ORCID
- Venue
- Ecography
- Publisher
- Wiley
- Published
- 2020-01-13
- Volume
- 43
- Issue
- 4
- Pages
- 591-603
- ISSN
- 0906-7590
- 1600-0587
- Cited by
- 62
- References
- 2
- Language
- en
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