Metapopulation Ecology

A metapopulation is a spatially structured population that persists over time as a set of local populations in balance between local extinction and colonization. Starting in 1969, and accelerating since the early 1990s, mathematical models of metapopulations have shown the importance of landscape connectivity and dispersal for persistence of a species or of interacting species. Some metapopulation models have been fit to empirical data. Although pure metapopulations may be rare, there are many empirical studies in which metapopulation processes, primarily local colonization and extinction, have been useful in explaining dynamics of natural and experimental systems. Metapopulation ecology is used in conservation biology and in population genetics where it influences genetic structure, the rate and trajectory of evolution and even what traits are under selection. Finally, communities of species that are distributed in a landscape potentially form metacommunity, which is a concept that shares important characteristics with metapopulations.

Key concepts:

  • A metapopulation is made up of semiindependent local populations.
  • In a metapopulation there is interplay between local and regional population dynamics.
  • While few species may live as metapopulations in the strict sense, many species depend on metapopulation processes. That is, a species regional persistence depends on asynchronous local dynamics and dispersal.
  • Predator–prey and competitive interactions may persist on a landscape scale due to metapopulation processes.

Keywords: conservation; metacommunity; population dynamics; population ecology; population genetics; spatial ecology

Figure 1. Illustration of metapopulation dynamics. Ellipses with dots are local populations and unfilled ellipses are empty habitat patches. In panel (a) the metapopulation is made up of five local populations. In panel (b), after one time step, there are still five local populations but one of them is newly colonized (green). One empty habitat patch is the result of a local extinction (red).
Figure 2. A schematic drawing of the arrangement of microcosms and the mean number of days that a predator population persisted. The % values beside each array show the connectedness of the bottles as the mean percentage of other bottles directly connected by tubes averaged across all bottles in each microcosm. Error bars are + or – SE. Persistence is unknown for predator populations that did not go extinct but was assumed to be 130 d, the duration of the experiment. Reproduced from Holyoak (2000) with permission of University of Chicago press.
Figure 3. The metapopulation dynamics of the butterfly Melitaea cinxia and the parasitoid Cotesia melitaearum from 1995 to 2007. The fraction of habitat patches occupied by the butterfly Melitaea cinxia (orange line) is always greater than the fraction of local host populations occupied by the parasitoid (blue line). A subset of these data is presented in van Nouhuys and Hanski (2002).
Figure 4. The hypothetical relationship between habitat fragmentation in a metapopulation and the allocation to dispersal (green line) and reproduction (red line). This assumes that mobility comes at a cost to reproduction.
close
 References
    Adler FR and Nuernberger B (1994) Persistence in patchy irregular landscapes. Theoretical Population Biology 45: 41–75.
    Amarasekare P (2003) Competitive coexistence in spatially structured environments: a synthesis. Ecology Letters 6: 1109–1122.
    book Andrewartha HG and Birch LC (1954) The Distribution and Abundance of Animals. Chicago: University of Chicago Press.
    Bonsall MB, French DR and Hassell MP (2002) Metapopulation structures affect persistence of predator-prey interactions. Journal of Animal Ecology 71: 1075–1084.
    Boughton DA (1999) Empirical evidence for complex source-sink dynamics with alternative states in a butterfly metapopulation. Ecology 80: 2727–2739.
    book Cabeza M, Moinanen A and Possingham HP (2004) "Metapopulation dynamics and reserve network design". In: Hanski I and Gaggiotti O (eds) Ecology, Genetics, and Evolution of Metapopulations, p. 541–564. san Diego: Elsevier Academic Press.
    Chesson PL (1985) Coexistence of competitors in spatially and temporally varying environments: a look at the combined effect of different sorts of variability. Theoretical Population Biology 28: 263–287.
    Cottenie K, Michels E, Nuytten N and De Meester L (2003) Zooplankton metacommunity structure: regional vs. local processes in highly interconnected ponds. Ecology 84: 991–1000.
    Cronin JT (2004) Host-parasitoid extinction and colonization in a fragmented prairie landscape. Oecologia 139: 503–514.
    Diamond JM (1975) The island dilemma: lessons of modern biogeographic studies for the design of natural reserves. Biological Conservation 7: 129–146.
    Enfjall K and Leimar O (2009) The evolution of dispersal – the importance of information about population density and habitat characteristics. Oikos 118(2): 291–299.
    Fahrig L (2003) Effects of habitat fragmentation on biodiversity. Annual Review of Ecology Evolution and Systematics 34: 487–515.
    Hanski I (1985) Single-species spatial dynamics may contribute to long-term rarity and commonness. Ecology 66(2): 335–343.
    Hanski I (1994) A practical model of metapopulation dynamics. Journal of Animal Ecology 63: 151–162.
    Hanski I and Gilpin M (1991) Metapopulation dynamics: brief history and conceptual domain. Biological Journal of the Linnean Society 42(1–2): 3–16.
    Hanski I and Ovaskainen O (2002) Extinction debt at extinction threshold. Conservation Biology 16: 666–673.
    Hanski I and Ranta E (1983) Coexistence in a patchy environment: three species of Daphnia in rock pools. Journal of Animal Ecology 52: 263–279.
    Hanski I, Saastamoinen M and Ovaskainen O (2006) Dispersal-related life-history trade-offs in a butterfly metapopulation. Journal of Animal Ecology 75: 91–100.
    Hanski I and Saccheri I (2006) Molecular-level variation affects population growth in a butterfly metapopulation. PLoS Biology 4: e129.
    book Harrison S and Taylor AD (1997) "Empirical evidence for metapopulation dynamics". In: Hanski I and Gilpin ME (eds) Metapopulation Biology, pp. 27–42. San Diego: Academic Press.
    Hastings A and Wolin CL (1989) Within-Patch Dynamics in a Metapopulation. Ecology 70(5): 1261–1266.
    book Holt RD (1997) "From metapopulation dynamics to community structure". In: Hanski I and Gilpin ME (eds) Metapopulation Biology, pp. 149–165. San Diego: Academic Press.
    Holt RD (2002) Food webs in space: on the interplay of dynamic instability and spatial processes. Ecological Research 17: 261–273.
    Holt RD and Keitt TH (2000) Alternative causes for range limits: a metapopulation perspective. Ecology Letters 3: 41–47.
    Holyoak M (2000) Habitat patch arrangement and metapopulation persistence of predators and prey. American Naturalist 156: 378–389.
    Holyoak M and Lawler SP (1996) The role of dispersal in predator-prey metapopulation dynamics. Journal of Animal Ecology 65: 640–652.
    Lande R (1988) Genetics and demography in biological conservation. Science 241: 1455–1460.
    Leibold MA, Holyoak M, Mouquet N et al. (2004) The metacommunity concept: a framework for multi-scale community ecology. Ecology Letters 7: 601–613.
    Levins R (1969) Some demographic and genetic consequences of environmental heterogeneity for biological control. Bulletin of the Entomological Society of America 15: 237–240.
    Lindborg R and Eriksson O (2004) Historical landscape connectivity affects present plant species diversity. Ecology 85: 1840–1845.
    book MacArthur RH and Wilson EO (1967) The Theory of Island Biogeography. Princeton: Princeton University Press.
    McCauley E, Kendall BE, Janssen A et al. (2000) Inferring colonization processes from population dynamics in spatially structured predator-prey systems. Ecology 81: 3350–3361.
    Moilanen A and Nieminen M (2002) Simple connectivity measures in spatial ecology. Ecology 83: 1131–1145.
    Nee S and May RM (1992) Dynamics of metapopulations: habitat destruction and competitive coexistence. Journal of Animal Ecology 61: 37–40.
    Nicholson AJ and Bailey VA (1935) The balance of animal populations. Proceedings of the Zoological Society of London Part 1: 551–598.
    van Nouhuys S and Hanski I (2002) Colonization rates and distances of a host butterfly and two specific parasitoids in a fragmented landscape. Journal of Animal Ecology 71: 639–650.
    van Nouhuys S and Laine A-L (2008) Population dynamics and sex ratio of a parasitoid altered by fungal-infected diet of host butterfly. Proceedings of the Royal Society B: Biological Sciences 275: 787–795.
    O¢Hara RB, Arjas B, Toivonen H and Hanski I (2002) Bayesian analysis of metapopulation data. Ecology 83: 2408–2415.
    Olivieri I, Michalakis Y and Gouyon PH (1995) Metapopulation genetics and the evolution of dispersal. American Naturalist 146: 202–228.
    book Ouborg NJ, Eriksson O, Ilkka H and Oscar EG (2004) "Toward a Metapopulation Concept for Plants". In: Ecology, Genetics and Evolution of Metapopulations, p. 447–469. Burlington: Academic Press.
    Ovaskainen O (2002) Long-term persistence of species and the SLOSS problem. Journal of Theoretical Biology 218: 419–433.
    Ovaskainen O and Hanski I (2001) Spatially structured metapopulation models: global and local assessment of metapopulation capacity. Theoretical Population Biology 60: 281–304.
    Parmesan C (2006) Ecological and evolutionary responses to recent climate change. Annual Review of Ecology, Evolution, and Systematics 37(1%R doi:10.1146/annurev.ecolsys.37.091305.110100)637–669.
    Parmesan C, Ryrholm N, Stefanescu C et al. (1999) Poleward shifts in geographical ranges of butterfly species associated with regional warming. Nature 399: 579–583.
    Reznick DN and Ghalambor CK (2001) The population ecology of contemporary adaptations: what empirical studies reveal about the conditions that promote adaptive evolution. Genetica 112: 183–198.
    Rodrigues ASL, Gregory RD and Gaston KJ (2000) Robustness of reserve selection procedures under temporal species turnover. Proceedings of the Royal Society B: Biological Sciences 267: 49–55.
    Rohani P, Earn DJD and Grenfell BT (1999) Opposite patterns of synchrony in sympatric disease metapopulations. Science 286: 968–971.
    Saccheri I, Kuussaari M and Kankare M (1998) Inbreeding and extinction in a butterfly metapopulation. Nature 392: 491–494.
    Slatkin M (1977) Gene flow and genetic drift in a species subject to frequent local extinctions. Theoretical Population Biology 12: 253–262.
    book Soulé ME (1987) Viable Populations for Conservation. New York: Sinauer Associates.
    Tilman D (1994) Competition and biodiversity in spatially structured habitats. Ecology 75: 2–16.
    Travis JMJ, Murrell DJ and Dytham C (1999) The evolution of density-dependent dispersal. Proceedings of the Royal Society of London Series B-Biological Sciences 266: 1837–1842.
    Vellend M, Verheyen K, Jacquemyn H et al. (2006) Extinction debt of forest plants persists for more than a century following habitat fragmentation. Ecology 87: 542–548.
    Verheyen K, Vellend M, Van Calster H et al. (2004) Metapopulation dynamics in changing landscapes: a new spatially realistic model for forest plants. Ecology 85: 3302–3312.
    Wade MJ and Goodnight CJ (1998) Perspective: the theories of Fisher and Wright in the context of metapopulations: when nature does many small experiments. Evolution 52: 1537–1553.
    Wade MJ and McCauley DE (1988) Extinction and recolonization – their effects on the genetic differentiation of local populations. Evolution 42: 995–1005.
    Wang JL and Caballero A (1999) Developments in predicting the effective size of subdivided populations. Heredity 82: 212–226.
    book Whitlock MC (2004) "Selection and drift in metapopulations". In: Hanski I and Gaggiotti O (eds) Ecology, Genetics, and Evolution of Metapopulations, p. 153–174. Amsterdam: Elsevier.
    Wilson DS (1992) Complex interactions in metacommunities, with implications for biodiversity and higher levels of selection. Ecology 73: 1984–2000.
    Wright S (1931) The evolution of Mendilian populations. Genetics 16: 97–159.
    Yu DW, Wilson HB, Frederickson ME et al. (2004) Experimental demonstration of species coexistence enabled by dispersal limitation. Journal of Animal Ecology 73: 1102–1114.
 Further Reading
    Clobert J, Le Galliard J-F, Cote J, Meylan S and Massot M (2009) Informed dispersal, heterogeneity in animal dispersal syndromes and the dynamics of spatially structured populations. Ecology Letters 12: 197–209.
    book Hanski I and Gaggiotti O (2004) Ecology, Genetics, and Evolution of Metapopulations, pp. 696. San Diego: Elsevier Academic Press.
    Hastings A and Harrison S (1994) Metapopulation dynamics and genetics. Annual Review of Ecology and Systematics 25: 167–188.
    book Holyoak M, Leibold MA, Holt RD (2005) Metacommunities: Spatial Dynamics and Ecological Communities. Chicago: University of Chicago Press.
    Thompson JN (2005) Coevolution: the geographic mosaic of coevolutionary arms races. Current Biology 15: R992.
    Urban MC, Leibold MA, Amarasekare P et al. (2008) The evolutionary ecology of metacommunities. Trends in Ecology & Evolution 23: 311–317.
Contact Editor close
Submit a note to the editor about this article by filling in the form below.

* Required Field

How to Cite close
van Nouhuys, Saskya(Dec 2009) Metapopulation Ecology. In: eLS. John Wiley & Sons Ltd, Chichester. http://www.els.net [doi: 10.1002/9780470015902.a0021905]