IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v83y2013icp101-122.html
   My bibliography  Save this article

Metapopulation dynamics on the brink of extinction

Author

Listed:
  • Eriksson, A.
  • Elías-Wolff, F.
  • Mehlig, B.

Abstract

We analyse metapopulation dynamics in terms of an individual-based, stochastic model of a finite metapopulation. We suggest a new approach, using the number of patches in the population as a large parameter. This approach does not require that the number of individuals per patch is large, neither is it necessary to assume a time-scale separation between local population dynamics and migration. Our approach makes it possible to accurately describe the dynamics of metapopulations consisting of many small patches. We focus on metapopulations on the brink of extinction. We estimate the time to extinction and describe the most likely path to extinction. We find that the logarithm of the time to extinction is proportional to the product of two vectors, a vector characterising the distribution of patch population sizes in the quasi-steady state, and a vector–related to Fisher’s reproduction vector–that quantifies the sensitivity of the quasi-steady state distribution to demographic fluctuations. We compare our analytical results to stochastic simulations of the model, and discuss the range of validity of the analytical expressions. By identifying fast and slow degrees of freedom in the metapopulation dynamics, we show that the dynamics of large metapopulations close to extinction is approximately described by a deterministic equation originally proposed by Levins (1969). We were able to compute the rates in Levins’ equation in terms of the parameters of our stochastic, individual-based model. It turns out, however, that the interpretation of the dynamical variable depends strongly on the intrinsic growth rate and carrying capacity of the patches. Only when the local growth rate and the carrying capacity are large does the slow variable correspond to the number of patches, as envisaged by Levins. Last but not least, we discuss how our findings relate to other, widely used metapopulation models.

Suggested Citation

  • Eriksson, A. & Elías-Wolff, F. & Mehlig, B., 2013. "Metapopulation dynamics on the brink of extinction," Theoretical Population Biology, Elsevier, vol. 83(C), pages 101-122.
  • Handle: RePEc:eee:thpobi:v:83:y:2013:i:c:p:101-122
    DOI: 10.1016/j.tpb.2012.08.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580912000809
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2012.08.001?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. Higgins, Kevin, 2009. "Metapopulation extinction risk: Dispersal’s duplicity," Theoretical Population Biology, Elsevier, vol. 76(2), pages 146-155.
    2. Massol, François & Calcagno, Vincent & Massol, Julien, 2009. "The metapopulation fitness criterion: Proof and perspectives," Theoretical Population Biology, Elsevier, vol. 75(2), pages 183-200.
    3. Brett A. Melbourne & Alan Hastings, 2008. "Extinction risk depends strongly on factors contributing to stochasticity," Nature, Nature, vol. 454(7200), pages 100-103, July.
    4. Renato Casagrandi & Marino Gatto, 1999. "A mesoscale approach to extinction risk in fragmented habitats," Nature, Nature, vol. 400(6744), pages 560-562, August.
    5. Ilkka Hanski & Otso Ovaskainen, 2000. "The metapopulation capacity of a fragmented landscape," Nature, Nature, vol. 404(6779), pages 755-758, April.
    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. Vuilleumier, Séverine & Possingham, Hugh P., 2012. "Interacting populations in heterogeneous environments," Ecological Modelling, Elsevier, vol. 228(C), pages 96-105.
    2. Méndez, Vicenç & Llopis, Isaac & Campos, Daniel & Horsthemke, Werner, 2010. "Extinction conditions for isolated populations affected by environmental stochasticity," Theoretical Population Biology, Elsevier, vol. 77(4), pages 250-256.
    3. Vilenkin, Boris & Chikatunov, Vladimir I. & Pavlíček, Tomáš, 2009. "The pattern of species turnover resulting from stochastic population dynamics: The model and field data," Ecological Modelling, Elsevier, vol. 220(5), pages 657-661.
    4. Laguna, M.F. & Abramson, G. & Kuperman, M.N. & Lanata, J.L. & Monjeau, J.A., 2015. "Mathematical model of livestock and wildlife: Predation and competition under environmental disturbances," Ecological Modelling, Elsevier, vol. 309, pages 110-117.
    5. Zhao, Yu & Yuan, Sanling, 2016. "Stability in distribution of a stochastic hybrid competitive Lotka–Volterra model with Lévy jumps," Chaos, Solitons & Fractals, Elsevier, vol. 85(C), pages 98-109.
    6. Joyce Maschinski & Michael Ross & Hong Liu & Joe O’Brien & Eric Wettberg & Kristin Haskins, 2011. "Sinking ships: conservation options for endemic taxa threatened by sea level rise," Climatic Change, Springer, vol. 107(1), pages 147-167, July.
    7. Vuilleumier, Séverine & Fontanillas, Pierre, 2007. "Landscape structure affects dispersal in the greater white-toothed shrew: Inference between genetic and simulated ecological distances," Ecological Modelling, Elsevier, vol. 201(3), pages 369-376.
    8. Drielsma, Michael & Love, Jamie, 2021. "An equitable method for evaluating habitat amount and potential occupancy," Ecological Modelling, Elsevier, vol. 440(C).
    9. Anna Kuparinen & Robert B O'Hara & Juha Merilä, 2008. "Probabilistic Models for Continuous Ontogenetic Transition Processes," PLOS ONE, Public Library of Science, vol. 3(11), pages 1-7, November.
    10. Cornell, Stephen J. & Ovaskainen, Otso, 2008. "Exact asymptotic analysis for metapopulation dynamics on correlated dynamic landscapes," Theoretical Population Biology, Elsevier, vol. 74(3), pages 209-225.
    11. Christensen, Claire & Albert, István & Grenfell, Bryan & Albert, Réka, 2010. "Disease dynamics in a dynamic social network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2663-2674.
    12. Jager, Henriëtte I. & Efroymson, Rebecca A. & Opperman, Jeff J. & Kelly, Michael R., 2015. "Spatial design principles for sustainable hydropower development in river basins," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 808-816.
    13. Steiner, Ulrich K. & Tuljapurkar, Shripad, 2020. "Drivers of diversity in individual life courses: Sensitivity of the population entropy of a Markov chain," Theoretical Population Biology, Elsevier, vol. 133(C), pages 159-167.
    14. d’Acampora, Bárbara H.A. & Higueras, Ester & Román, Emilia, 2018. "Combining different metrics to measure the ecological connectivity of two mangrove landscapes in the Municipality of Florianópolis, Southern Brazil," Ecological Modelling, Elsevier, vol. 384(C), pages 103-110.
    15. Bodin, Örjan & Saura, Santiago, 2010. "Ranking individual habitat patches as connectivity providers: Integrating network analysis and patch removal experiments," Ecological Modelling, Elsevier, vol. 221(19), pages 2393-2405.
    16. Gledhill, Michelle & Van Kirk, Robert W., 2011. "Modeling effects of toxin exposure in fish on long-term population size, with an application to selenium toxicity in bluegill (Lepomis macrochirus)," Ecological Modelling, Elsevier, vol. 222(19), pages 3587-3597.
    17. Zhouqiao Ren & Jianhua He & Qiaobing Yue, 2021. "Assessing the Impact of Urban Expansion on Surrounding Forested Landscape Connectivity across Space and Time," Land, MDPI, vol. 10(4), pages 1-14, April.
    18. Eleanor S Devenish-Nelson & Philip A Stephens & Stephen Harris & Carl Soulsbury & Shane A Richards, 2013. "Does Litter Size Variation Affect Models of Terrestrial Carnivore Extinction Risk and Management?," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
    19. Bauer, Dana Marie & Swallow, Stephen K. & Paton, Peter W.C., 2010. "Cost-effective species conservation in exurban communities: A spatial analysis," Resource and Energy Economics, Elsevier, vol. 32(2), pages 180-202, April.
    20. Izquierdo, Salvador & Dopazo, César & Fueyo, Norberto, 2010. "Supply-cost curves for geographically distributed renewable-energy resources," Energy Policy, Elsevier, vol. 38(1), pages 667-672, January.

    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:83:y:2013:i:c:p:101-122. 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.