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      Landscape genetics identifies streams and drainage infrastructure as dispersal corridors for an endangered wetland bird

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          Abstract

          Anthropogenic alterations to landscape structure and composition can have significant impacts on biodiversity, potentially leading to species extinctions. Population‐level impacts of landscape change are mediated by animal behaviors, in particular dispersal behavior. Little is known about the dispersal habits of rails (Rallidae) due to their cryptic behavior and tendency to occupy densely vegetated habitats. The effects of landscape structure on the movement behavior of waterbirds in general are poorly studied due to their reputation for having high dispersal abilities. We used a landscape genetic approach to test hypotheses of landscape effects on dispersal behavior of the Hawaiian gallinule ( Gallinula galeata sandvicensis), an endangered subspecies endemic to the Hawaiian Islands. We created a suite of alternative resistance surfaces representing biologically plausible a priori hypotheses of how gallinules might navigate the landscape matrix and ranked these surfaces by their ability to explain observed patterns in genetic distance among 12 populations on the island of O`ahu. We modeled effective distance among wetland locations on all surfaces using both cumulative least‐cost‐path and resistance‐distance approaches and evaluated relative model performance using Mantel tests, a causal modeling approach, and the mixed‐model maximum‐likelihood population‐effects framework. Across all genetic markers, simulation methods, and model comparison metrics, surfaces that treated linear water features like streams, ditches, and canals as corridors for gallinule movement outperformed all other models. This is the first landscape genetic study on the movement behavior of any waterbird species to our knowledge. Our results indicate that lotic water features, including drainage infrastructure previously thought to be of minimal habitat value, contribute to habitat connectivity in this listed subspecies.

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          A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant

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            The application of ‘least-cost’ modelling as a functional landscape model

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              What can genetics tell us about population connectivity?

              Genetic data are often used to assess 'population connectivity' because it is difficult to measure dispersal directly at large spatial scales. Genetic connectivity, however, depends primarily on the absolute number of dispersers among populations, whereas demographic connectivity depends on the relative contributions to population growth rates of dispersal vs. local recruitment (i.e. survival and reproduction of residents). Although many questions are best answered with data on genetic connectivity, genetic data alone provide little information on demographic connectivity. The importance of demographic connectivity is clear when the elimination of immigration results in a shift from stable or positive population growth to negative population growth. Otherwise, the amount of dispersal required for demographic connectivity depends on the context (e.g. conservation or harvest management), and even high dispersal rates may not indicate demographic interdependence. Therefore, it is risky to infer the importance of demographic connectivity without information on local demographic rates and how those rates vary over time. Genetic methods can provide insight on demographic connectivity when combined with these local demographic rates, data on movement behaviour, or estimates of reproductive success of immigrants and residents. We also consider the strengths and limitations of genetic measures of connectivity and discuss three concepts of genetic connectivity that depend upon the evolutionary criteria of interest: inbreeding connectivity, drift connectivity, and adaptive connectivity. To conclude, we describe alternative approaches for assessing population connectivity, highlighting the value of combining genetic data with capture-mark-recapture methods or other direct measures of movement to elucidate the complex role of dispersal in natural populations.
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                Author and article information

                Contributors
                cbvanrees@gmail.com
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                24 July 2018
                August 2018
                : 8
                : 16 ( doiID: 10.1002/ece3.2018.8.issue-16 )
                : 8328-8343
                Affiliations
                [ 1 ] Department of Biology Tufts University Medford Massachusetts
                [ 2 ] U. S. Geological Survey Alaska Science Center Anchorage Alaska
                [ 3 ] Pacific Reefs National Wildlife Refuge Complex U.S. Fish and Wildlife Service Honolulu Hawaii
                [ 4 ]Present address: Don Edwards San Francisco Bay National Wildlife Refuge Fremont California
                Author notes
                [*] [* ] Correspondence

                Charles B. van Rees, Department of Biology, Medford, Tufts University, MA.

                Email: cbvanrees@ 123456gmail.com

                Author information
                http://orcid.org/0000-0003-0558-3674
                http://orcid.org/0000-0003-1800-0183
                http://orcid.org/0000-0001-6215-5874
                Article
                ECE34296
                10.1002/ece3.4296
                6145004
                30250706
                3cf03b67-5581-4761-9d11-dd558afd37c4
                © 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 December 2017
                : 03 May 2018
                : 14 May 2018
                Page count
                Figures: 5, Tables: 3, Pages: 16, Words: 13089
                Funding
                Funded by: National Science Foundation
                Award ID: 0966093
                Funded by: Tufts Institute of the Environment
                Funded by: Tufts Graduate School of Arts and Sciences
                Funded by: Nuttall Ornithological Club
                Funded by: Wilson Ornithological Society
                Funded by: Sigma Xi Grants‐in‐Aid of Research
                Funded by: Tufts Water Diplomacy IGERT
                Funded by: NSF
                Award ID: 0966093
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece34296
                August 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.4.9 mode:remove_FC converted:19.09.2018

                Evolutionary Biology
                connectivity,hawaii,landscape resistance,metapopulation,moorhen,waterbird
                Evolutionary Biology
                connectivity, hawaii, landscape resistance, metapopulation, moorhen, waterbird

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