Disentangling effects of dispersal, environment and anthropogenic barriers on functional connectivity in aquatic systems

Author:

Day Casey C.1ORCID,Alò Dominique2,Simmons Ryan K.3,Cotey Stacy R.4,Zarn Katherine E.5,Gazeley Ian F.6,Small Maureen7,Fortin Marie‐Josee8,Bearlin Andrew R.3,Smith Seth R.7,Landguth Erin L.1ORCID

Affiliation:

1. Computational Ecology Lab University of Montana Missoula Montana USA

2. Departamento de Sistemas Acuáticos. Facultad de Ciencias Ambientales y Centro de Ciencias Ambientales EULA‐Chile Universidad de Concepción Concepción Chile

3. Environment, Land, and Licensing Seattle City Light Seattle Washington USA

4. College of Forest Resources and Environmental Science Michigan Technological University Houghton Michigan USA

5. National Technology and Development Program USDA Forest Service Flagstaff Arizona USA

6. Department of Biological Sciences University of Lethbridge Lethbridge Alberta Canada

7. Washington Department of Fish and Wildlife Olympia Washington USA

8. Department of Ecology and Evolutionary Biology University of Toronto Toronto Ontario Canada

Abstract

AbstractDisentangling the roles of structural landscape factors and animal movement behaviour can present challenges for practitioners managing landscapes to maintain functional connectivity and achieve conservation goals. We used a landscape genetics approach to combine robust demographic, behavioural and genetic datasets with spatially explicit simulations to evaluate the effects of anthropogenic barriers (dams, culverts) and natural landscape resistance (gradient, elevation) affecting dispersal behaviour, genetic connectivity and genetic structure in a resident population of Westslope Cutthroat Trout (Oncorhynchus clarkii lewisi). Analyses based on 10 years of sampling effort revealed a pattern of restricted dispersal, and population genetics identified discrete population clusters between distal tributaries and the mainstem stream and no structure within the mainstem stream. Demogenetic simulations demonstrated that, for this population, the effects of existing anthropogenic barriers on population structure are redundant with effects of restricted dispersal associated with the underlying environmental resistance. Our approach provides an example of how extensive field sampling combined with landscape genetics can be incorporated into spatially explicit simulation modelling to explore how, together, movement ecology and landscape resistance can be used to inform decisions around restoration and connectivity.

Funder

National Science Foundation

Agencia Nacional de Investigación y Desarrollo

Publisher

Wiley

Reference105 articles.

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