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Landscape influences on dispersal behaviour: A theoretical model and empirical test using the fire salamander, Salamandra infraimmaculata
Year:
2014
Source of publication :
Oecologia
Authors :
בלנק, ליאור
;
.
Volume :
175
Co-Authors:
Kershenbaum, A., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel, National Institute for Mathematical and Biological Synthesis (NIMBioS), Knoxville, TN, United States
Blank, L., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel
Sinai, I., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel, Israel National Parks Authority, 95463 Jerusalem, Israel
Merilä, J., Ecological Genetics Research Unit, Department of Biosciences, University of Helsinki, 00014 Helsinki, Finland
Blaustein, L., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel
Templeton, A.R., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel, Department of Biology, Washington University, St Louis, MO, United States
Facilitators :
From page:
509
To page:
520
(
Total pages:
12
)
Abstract:
When populations reside within a heterogeneous landscape, isolation by distance may not be a good predictor of genetic divergence if dispersal behaviour and therefore gene flow depend on landscape features. Commonly used approaches linking landscape features to gene flow include the least cost path (LCP), random walk (RW), and isolation by resistance (IBR) models. However, none of these models is likely to be the most appropriate for all species and in all environments. We compared the performance of LCP, RW and IBR models of dispersal with the aid of simulations conducted on artificially generated landscapes. We also applied each model to empirical data on the landscape genetics of the endangered fire salamander, Salamandra infraimmaculata, in northern Israel, where conservation planning requires an understanding of the dispersal corridors. Our simulations demonstrate that wide dispersal corridors of the low-cost environment facilitate dispersal in the IBR model, but inhibit dispersal in the RW model. In our empirical study, IBR explained the genetic divergence better than the LCP and RW models (partial Mantel correlation 0.413 for IBR, compared to 0.212 for LCP, and 0.340 for RW). Overall dispersal cost in salamanders was also well predicted by landscape feature slope steepness (76 %), and elevation (24 %). We conclude that fire salamander dispersal is well characterised by IBR predictions. Together with our simulation findings, these results indicate that wide dispersal corridors facilitate, rather than hinder, salamander dispersal. Comparison of genetic data to dispersal model outputs can be a useful technique in inferring dispersal behaviour from population genetic data. © 2014 Springer-Verlag Berlin Heidelberg.
Note:
Related Files :
Animal
Animals
ecological modeling
Genetics
Isolation by resistance
Israel
Landscape genetics
Models, Theoretical
Salamandra salamandra
עוד תגיות
תוכן קשור
More details
DOI :
10.1007/s00442-014-2924-8
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
31846
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 01:05
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Scientific Publication
Landscape influences on dispersal behaviour: A theoretical model and empirical test using the fire salamander, Salamandra infraimmaculata
175
Kershenbaum, A., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel, National Institute for Mathematical and Biological Synthesis (NIMBioS), Knoxville, TN, United States
Blank, L., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel
Sinai, I., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel, Israel National Parks Authority, 95463 Jerusalem, Israel
Merilä, J., Ecological Genetics Research Unit, Department of Biosciences, University of Helsinki, 00014 Helsinki, Finland
Blaustein, L., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel
Templeton, A.R., Community Ecology Lab, Department of Evolutionary and Environmental Ecology, Institute of Evolution, University of Haifa, 31905 Haifa, Israel, Department of Biology, Washington University, St Louis, MO, United States
Landscape influences on dispersal behaviour: A theoretical model and empirical test using the fire salamander, Salamandra infraimmaculata
When populations reside within a heterogeneous landscape, isolation by distance may not be a good predictor of genetic divergence if dispersal behaviour and therefore gene flow depend on landscape features. Commonly used approaches linking landscape features to gene flow include the least cost path (LCP), random walk (RW), and isolation by resistance (IBR) models. However, none of these models is likely to be the most appropriate for all species and in all environments. We compared the performance of LCP, RW and IBR models of dispersal with the aid of simulations conducted on artificially generated landscapes. We also applied each model to empirical data on the landscape genetics of the endangered fire salamander, Salamandra infraimmaculata, in northern Israel, where conservation planning requires an understanding of the dispersal corridors. Our simulations demonstrate that wide dispersal corridors of the low-cost environment facilitate dispersal in the IBR model, but inhibit dispersal in the RW model. In our empirical study, IBR explained the genetic divergence better than the LCP and RW models (partial Mantel correlation 0.413 for IBR, compared to 0.212 for LCP, and 0.340 for RW). Overall dispersal cost in salamanders was also well predicted by landscape feature slope steepness (76 %), and elevation (24 %). We conclude that fire salamander dispersal is well characterised by IBR predictions. Together with our simulation findings, these results indicate that wide dispersal corridors facilitate, rather than hinder, salamander dispersal. Comparison of genetic data to dispersal model outputs can be a useful technique in inferring dispersal behaviour from population genetic data. © 2014 Springer-Verlag Berlin Heidelberg.
Scientific Publication
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