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      Metapopulation dynamics in a changing climate: Increasing spatial synchrony in weather conditions drives metapopulation synchrony of a butterfly inhabiting a fragmented landscape

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          Abstract

          Habitat fragmentation and climate change are both prominent manifestations of global change, but there is little knowledge on the specific mechanisms of how climate change may modify the effects of habitat fragmentation, for example, by altering dynamics of spatially structured populations. The long‐term viability of metapopulations is dependent on independent dynamics of local populations, because it mitigates fluctuations in the size of the metapopulation as a whole. Metapopulation viability will be compromised if climate change increases spatial synchrony in weather conditions associated with population growth rates. We studied a recently reported increase in metapopulation synchrony of the Glanville fritillary butterfly ( Melitaea cinxia) in the Finnish archipelago, to see if it could be explained by an increase in synchrony of weather conditions. For this, we used 23 years of butterfly survey data together with monthly weather records for the same period. We first examined the associations between population growth rates within different regions of the metapopulation and weather conditions during different life‐history stages of the butterfly. We then examined the association between the trends in the synchrony of the weather conditions and the synchrony of the butterfly metapopulation dynamics. We found that precipitation from spring to late summer are associated with the M. cinxia per capita growth rate, with early summer conditions being most important. We further found that the increase in metapopulation synchrony is paralleled by an increase in the synchrony of weather conditions. Alternative explanations for spatial synchrony, such as increased dispersal or trophic interactions with a specialist parasitoid, did not show paralleled trends and are not supported. The climate driven increase in M. cinxia metapopulation synchrony suggests that climate change can increase extinction risk of spatially structured populations living in fragmented landscapes by altering their dynamics.

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          A framework for community interactions under climate change.

          Predicting the impacts of climate change on species is one of the biggest challenges that ecologists face. Predictions routinely focus on the direct effects of climate change on individual species, yet interactions between species can strongly influence how climate change affects organisms at every scale by altering their individual fitness, geographic ranges and the structure and dynamics of their community. Failure to incorporate these interactions limits the ability to predict responses of species to climate change. We propose a framework based on ideas from global-change biology, community ecology, and invasion biology that uses community modules to assess how species interactions shape responses to climate change. Copyright (c) 2010 Elsevier Ltd. All rights reserved.
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            A Practical Model of Metapopulation Dynamics

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              The metapopulation capacity of a fragmented landscape.

              Ecologists and conservation biologists have used many measures of landscape structure to predict the population dynamic consequences of habitat loss and fragmentation, but these measures are not well justified by population dynamic theory. Here we introduce a new measure for highly fragmented landscapes, termed the metapopulation capacity, which is rigorously derived from metapopulation theory and can easily be applied to real networks of habitat fragments with known areas and connectivities. Technically, metapopulation capacity is the leading eigenvalue of an appropriate 'landscape' matrix. A species is predicted to persist in a landscape if the metapopulation capacity of that landscape is greater than a threshold value determined by the properties of the species. Therefore, metapopulation capacity can conveniently be used to rank different landscapes in terms of their capacity to support viable metapopulations. We present an empirical example on multiple networks occupied by an endangered species of butterfly. Using this theory, we may also calculate how the metapopulation capacity is changed by removing habitat fragments from or adding new ones into specific spatial locations, or by changing their areas. The metapopulation capacity should find many applications in metapopulation ecology, landscape ecology and conservation biology.
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                Author and article information

                Contributors
                aapo.kahilainen@helsinki.fi
                Journal
                Glob Chang Biol
                Glob Chang Biol
                10.1111/(ISSN)1365-2486
                GCB
                Global Change Biology
                John Wiley and Sons Inc. (Hoboken )
                1354-1013
                1365-2486
                16 May 2018
                September 2018
                : 24
                : 9 ( doiID: 10.1111/gcb.2018.24.issue-9 )
                : 4316-4329
                Affiliations
                [ 1 ] Metapopulation Research Centre, Organismal and Evolutionary Biology Research Programme Faculty of Biological and Environmental Science University of Helsinki Helsinki Finland
                [ 2 ] Department of Entomology Cornell University Ithaca New York
                Author notes
                [*] [* ] Correspondence

                Aapo Kahilainen, Metapopulation Research Centre, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Science, University of Helsinki, Finland

                Email: aapo.kahilainen@ 123456helsinki.fi

                Author information
                http://orcid.org/0000-0001-9180-6998
                http://orcid.org/0000-0003-2206-1368
                http://orcid.org/0000-0001-8940-9483
                http://orcid.org/0000-0001-7009-2527
                Article
                GCB14280
                10.1111/gcb.14280
                6120548
                29682866
                2d65ec5d-01e8-492d-8084-25cc526a2632
                © 2018 The Authors. Global Change Biology 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
                : 10 November 2017
                : 01 April 2018
                Page count
                Figures: 3, Tables: 4, Pages: 14, Words: 12074
                Funding
                Funded by: Biotieteiden ja Ympäristön Tutkimuksen Toimikunta
                Award ID: 213457
                Award ID: 265461
                Award ID: 273098
                Funded by: H2020 European Research Council
                Award ID: 637412
                Categories
                Primary Research Article
                Primary Research Articles
                Custom metadata
                2.0
                gcb14280
                September 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.4.7.1 mode:remove_FC converted:03.09.2018

                climate change,dispersal,lepidoptera,life history,melitaea cinxia,metapopulation dynamics,population synchrony,precipitation,temperature,trophic interactions

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