IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v94y2014icp1-9.html
   My bibliography  Save this article

The demography of a metapopulation in an environment changing in time and space

Author

Listed:
  • Blanquart, François

Abstract

The persistence of populations living in heterogeneous environments crucially depends on the interaction between changes of the environment in space and time, and the way individuals move between locations. Here an approximation for the multiplicative growth rate of a metapopulation is derived, as a function of the properties of the spatial heterogeneity and temporal change in local habitat quality, and the dispersal pattern. This analysis reveals that the growth rate depends on (i) the geometric mean of the average growth rate in the metapopulation, (ii) whether individuals tend to be more numerous in high quality demes and (iii) temporal fluctuations in the spatial distribution of individuals. The two latter effects had been previously identified but mostly in simulation studies. Here I identify them in a unified analytical framework which helps clarifying previous studies. This analysis reveals that the shape of temporal variability interacts with the dispersal rate to determine the growth of the metapopulation, and in particular that the effects of dispersal depend on the level of temporal correlation of the environment.

Suggested Citation

  • Blanquart, François, 2014. "The demography of a metapopulation in an environment changing in time and space," Theoretical Population Biology, Elsevier, vol. 94(C), pages 1-9.
  • Handle: RePEc:eee:thpobi:v:94:y:2014:i:c:p:1-9
    DOI: 10.1016/j.tpb.2014.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580914000185
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2014.03.001?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ilik Saccheri & Mikko Kuussaari & Maaria Kankare & Pia Vikman & Wilhelm Fortelius & Ilkka Hanski, 1998. "Inbreeding and extinction in a butterfly metapopulation," Nature, Nature, vol. 392(6675), pages 491-494, April.
    2. M’Gonigle, L.K. & Shen, J.J. & Otto, S.P., 2009. "Mutating away from your enemies: The evolution of mutation rate in a host–parasite system," Theoretical Population Biology, Elsevier, vol. 75(4), pages 301-311.
    3. Benaïm, Michel & Schreiber, Sebastian J., 2009. "Persistence of structured populations in random environments," Theoretical Population Biology, Elsevier, vol. 76(1), pages 19-34.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liberman, Uri & Behar, Hilla & Feldman, Marcus W., 2016. "Evolution of reduced mutation under frequency-dependent selection," Theoretical Population Biology, Elsevier, vol. 112(C), pages 52-59.
    2. Mengmeng Zhang & Fujun Shen & Tao Yang & Han Zhang & Yunfeng Lu & Keliang Wu & Fujun Shen & Yunfeng Lu, 2018. "Genetic Input from Wild Giant Pandas (Ailuropoda melanoleuca) into the Captive Population Simulated by OMPG Rule," JOJ Wildlife & Biodiversity, Juniper Publishers Inc., vol. 1(1), pages 6-13, December.
    3. A Bradley Duthie & Jane M Reid, 2015. "What Happens after Inbreeding Avoidance? Inbreeding by Rejected Relatives and the Inclusive Fitness Benefit of Inbreeding Avoidance," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-22, April.
    4. Greenspoon, Philip B. & Mideo, Nicole, 2017. "Evolutionary rescue of a parasite population by mutation rate evolution," Theoretical Population Biology, Elsevier, vol. 117(C), pages 64-75.
    5. Ellner, Stephen P. & Schreiber, Sebastian J., 2012. "Temporally variable dispersal and demography can accelerate the spread of invading species," Theoretical Population Biology, Elsevier, vol. 82(4), pages 283-298.
    6. Bansaye, Vincent & Lambert, Amaury, 2013. "New approaches to source–sink metapopulations decoupling demography and dispersal," Theoretical Population Biology, Elsevier, vol. 88(C), pages 31-46.
    7. Barraquand, Frédéric & Yoccoz, Nigel G., 2013. "When can environmental variability benefit population growth? Counterintuitive effects of nonlinearities in vital rates," Theoretical Population Biology, Elsevier, vol. 89(C), pages 1-11.
    8. Barraquand, Frédéric & Gimenez, Olivier, 2019. "Integrating multiple data sources to fit matrix population models for interacting species," Ecological Modelling, Elsevier, vol. 411(C).
    9. J Nevil Amos & Andrew F Bennett & Ralph Mac Nally & Graeme Newell & Alexandra Pavlova & James Q Radford & James R Thomson & Matt White & Paul Sunnucks, 2012. "Predicting Landscape-Genetic Consequences of Habitat Loss, Fragmentation and Mobility for Multiple Species of Woodland Birds," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-12, February.
    10. M. Heino & I. Hanski, 2000. "Evolution of Migration Rate in a Spatially Realistic Metapopulation Model," Working Papers ir00044, International Institute for Applied Systems Analysis.
    11. Shen, Hao & Liberman, Uri & Feldman, Marcus W., 2020. "Evolution of transmission modifiers under frequency-dependent selection and transmission in constant or fluctuating environments," Theoretical Population Biology, Elsevier, vol. 135(C), pages 56-63.
    12. Vortkamp, Irina & Barraquand, Frédéric & Hilker, Frank M., 2020. "Ecological Allee effects modulate optimal strategies for conservation in agricultural landscapes," Ecological Modelling, Elsevier, vol. 435(C).
    13. Schreiber, Sebastian J., 2020. "When do factors promoting genetic diversity also promote population persistence? A demographic perspective on Gillespie’s SAS-CFF model," Theoretical Population Biology, Elsevier, vol. 133(C), pages 141-149.
    14. Barraquand, Frédéric & New, Leslie F. & Redpath, Stephen & Matthiopoulos, Jason, 2015. "Indirect effects of primary prey population dynamics on alternative prey," Theoretical Population Biology, Elsevier, vol. 103(C), pages 44-59.
    15. MacPherson, Ailene & Keeling, Matthew J. & Otto, Sarah P., 2021. "Coevolution fails to maintain genetic variation in a host–parasite model with constant finite population size," Theoretical Population Biology, Elsevier, vol. 137(C), pages 10-21.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:thpobi:v:94:y:2014:i:c:p:1-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.