Skip to main content

Advertisement

Log in

Intermediate landscape disturbance maximizes metapopulation density

  • Published:
Landscape Ecology Aims and scope Submit manuscript

Abstract

The viability of metapopulations in fragmented landscapes has become a central theme in conservation biology. Landscape fragmentation is increasingly recognized as a dynamical process: in many situations, the quality of local habitats must be expected to undergo continual changes. Here we assess the implications of such recurrent local disturbances for the equilibrium density of metapopulations. Using a spatially explicit lattice model in which the considered metapopulation as well as the underlying landscape pattern change dynamically, we show that equilibrium metapopulation density is maximized at intermediate frequencies of local landscape disturbance. On both sides around this maximum, the metapopulation may go extinct. We show how the position and shape of the intermediate viability maximum is responding to changes in the landscape’s overall habitat quality and the population’s propensity for local extinction. We interpret our findings in terms of a dual effect of intensified landscape disturbances, which on the one hand exterminate local populations and on the other hand enhance a metapopulation’s capacity for spreading between habitat clusters.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Akçakaya HR, Radeloff VC, Mladenoff DJ, He HS (2004) Integrating landscape and metapopulation modeling approaches: viability of the sharp-tailed grouse in a dynamic landscape. Conserv Biol 18:526–537

    Article  Google Scholar 

  • Amarasekare P, Possingham H (2001) Patch dynamics and metapopulation theory: the case of successional species. J Theor Biol 209:333–344

    Article  CAS  PubMed  Google Scholar 

  • Andrén H (1994) Effect of habitat fragmentation on birds and mammals in landscapes with different proportion of suitable habitat: a review. Oikos 71:355–366

    Article  Google Scholar 

  • Bartha S, Czárán T, Scheuring I (1997) Spatiotemporal scales of non-equilibrium community dynamics: a methodological challenge. N Z J Ecol 21:199–206

    Google Scholar 

  • Bascompte J, Solé RV (1996) Habitat fragmentation and extinction threshold in spatially explicit models. J Anim Ecol 65:465–473

    Article  Google Scholar 

  • Boswell GP, Britton NF, Franks NR (1998) Habitat fragmentation, percolation theory and the conservation of a keystone species. Proc R Soc Lond B 265:1921–1925

    Article  Google Scholar 

  • Boughton D, Malvadkar U (2002) Extinction risk in successional landscapes subject to catastrophic disturbances. Conserv Biol 6: article no. 2

  • Bowne DR, Bowers MA (2004) Interpatch movements in spatially structured populations: a literature review. Landscape Ecol 19:1–20

    Article  Google Scholar 

  • Brockhurst MA, Buckling A, Gardner A (2007) Cooperation peaks at intermediate disturbance. Curr Biol 17:761–765

    Article  CAS  PubMed  Google Scholar 

  • Buckling A, Kassen R, Bell G, Rainey PB (2000) Disturbance and diversity in experimental microcosms. Nature 408:961–964

    Article  CAS  PubMed  Google Scholar 

  • Caswell H, Etter R (1999) Cellular automaton models for competition in patchy environments: facilitation, inhibition, and tolerance. Bull Math Biol 61:625–649

    Article  CAS  PubMed  Google Scholar 

  • Connell JH (1978) Diversity in tropical rain forest and coral reefs. Science 199:1302–1310

    Article  PubMed  CAS  Google Scholar 

  • de Mazancourt C, Loreau M, Dieckmann U (2001) Can the evolution of plant defense lead to plant-herbivore mutualism? Am Nat 158:109–123

    Article  PubMed  Google Scholar 

  • Debinski DM (1994) Genetic diversity assessment in a metapopulation of the butterfly Euphydryas gillettii. Biol Conserv 70:25–31

    Article  Google Scholar 

  • Dyer M, DeAngelis DL, Post WM (1986) A model of herbivore feedback on plant productivity. Math Biosci 79:171–184

    Article  Google Scholar 

  • Dytham C (1995) The effect of habitat destruction pattern on species persistence: a cellular model. Oikos 74:340–344

    Article  Google Scholar 

  • Ellner SP, Fussmann G (2003) Effects of successional dynamics on metapopulation persistence. Ecology 84:882–889

    Article  Google Scholar 

  • Eriksson O (1997) Clonal life histories and the evolution of seed recruitment. In: van Groenendael J, de Kroon H (eds) The ecology and evolution of clonal plants. Backhuys, Leiden, pp 211–226

    Google Scholar 

  • Fahrig L (1998) When does fragmentation of breeding habitat affect population survival? Ecol Model 105:273–292

    Article  Google Scholar 

  • Fahrig L (2001) How much habitat is enough? Biol Conserv 100:65–74

    Article  Google Scholar 

  • Fahrig L (2003) Effects of habitat fragmentation on biodiversity. Ann Rev Ecol Evol Syst 34:487–515

    Article  Google Scholar 

  • Falther C, Bevers M (2002) Patchy reaction-diffusion and population abundance: the relative importance of habitat amount and arrangement. Am Nat 159:40–56

    Article  Google Scholar 

  • Gardner RH, Milne BT, Turner MG, O’Neill RV (1987) Neutral models for the analysis of broad-scale landscape pattern. Landscape Ecol 1:19–28

    Article  Google Scholar 

  • Gerber AS, Templeton AR (1996) Population sizes and within-deme movement of Trimerotropis saxatilis (Acrididae), a grasshopper with a fragmented distribution. Oecologia 105:343–350

    Article  Google Scholar 

  • Grime JP (1973) Competitive exclusion in herbaceous vegetation. Nature 242:344–347

    Article  Google Scholar 

  • Gustafson EJ, Parker GR (1992) Relationships between landcover proportions and indices of landscape spatial pattern. Landscape Ecol 7:101–110

    Article  Google Scholar 

  • Hanski I (1998) Metapopulation dynamics. Nature 396:41–49

    Article  CAS  Google Scholar 

  • Harrison S, Bruna E (1999) Habitat fragmentation and large-scale conservation: what do we know for sure? Ecography 22:225–232

    Article  Google Scholar 

  • Hastings A (2003) Metapopulation persistence with age-dependent disturbance or succession. Science 301:1525–1526

    Article  CAS  PubMed  Google Scholar 

  • Hiebler D (2000) Populations on fragmented landscapes with spatially structured heterogeneities: landscape generation and local dispersal. Ecology 81:1629–1641

    Article  Google Scholar 

  • Hilbert DW, Swift DM, Detling JK, Dyer M (1985) Relative growth rates and the grazing optimization hypothesis. Oecologia 51:14–18

    Article  Google Scholar 

  • Hovestadt T, Messer S, Poethke HJ (2001) Evolution of reduced dispersal mortality and ‘fat-tailed’ dispersal kernels in autocorrelated landscapes. Proc R Soc Lond B 268:385–391

    Article  CAS  Google Scholar 

  • Johst K, Brandl R, Eber S (2002) Metapopulation persistence in dynamic landscapes: the role of dispersal distance. Oikos 98:263–270

    Article  Google Scholar 

  • Keymer JE, Marquet PA, Velasco-Hernández JX, Levin SA (2000) Extinction threshold and metapopulation persistence in dynamic landscapes. Am Nat 156:478–494

    Article  Google Scholar 

  • Kun Á (2007) Generation of temporally and spatially heterogeneous landscapes for models of population dynamics. Appl Ecol Environ Res 4:73–84

    Google Scholar 

  • Kun Á, Oborny B (2003) Survival and competition of clonal plant populations in spatially and temporally heterogeneous habitats. Community Ecology 4:1–20

    Article  Google Scholar 

  • Loreau M (1995) Consumers as maximisers of matter and energy flow in ecosystems. Am Nat 145:22–42

    Article  Google Scholar 

  • McNaughton SJ (1979) Grazing as an optimization process: grass-ungulate relationship in the Serengeti. Am Nat 113:691–703

    Article  Google Scholar 

  • Menges E (1990) Population viability analysis for an endangered plant. Conserv Biol 4:52–61

    Article  Google Scholar 

  • Molino J, Sabatier D (2001) Tree diversity in tropical rain forests: a validation of the intermediate disturbance hypothesis. Science 294:1702–1704

    Article  CAS  PubMed  Google Scholar 

  • Nee S, May RM (1992) Dynamics of metapopulations: habitat destruction and competitive coexistence. Anim Behav 61:37–40

    Google Scholar 

  • Neuhauser C (1998) Habitat destruction and competitive coexistence in spatially explicit models with local interaction. J Theor Biol 193:445–463

    Article  PubMed  Google Scholar 

  • Oborny B, Kun Á (2002) Fragmentation of clones: how does it influence dispersal and competitive ability? Evol Ecol 15:319–346

    Article  Google Scholar 

  • Oborny B, Meszéna G, Szabó G (2005) Dynamics of populations on the verge of extinction. Oikos 109:291–296

    Article  Google Scholar 

  • Oborny B, Szabó G, Meszéna G (2007) Survival of species in patchy landscapes: percolation in space and time. In: Storch D, Marquet PA, Brown JH (eds) Scaling biodiversity. Cambridge University Press, Cambridge

    Google Scholar 

  • Pickett STA, Cadessano ML, Jones CG (2000) Generation of heterogeneity by organisms: creation, maintenance and transformation. In: Hutchings MJ, John E, Stewart AJ (eds) The ecological consequences of environmental heterogeneity. Blackwell, Oxford, pp 33–52

    Google Scholar 

  • Roxburgh SH, Shea K, Wilson JB (2004) The intermediate disturbance hypothesis: patch dynamics and mechanisms of species coexistence. Ecology 85:359–371

    Article  Google Scholar 

  • Roy M, Pascual M, Levin SA (2004) Competitive coexistence in a dynamical landscape. Theor Popul Biol 66:341–353

    Article  PubMed  Google Scholar 

  • Snall T, Ehrlen J, Rydin H (2005a) Colonization-extinction dynamics of an epiphyte metapopulation in a dynamic landscape. Ecology 86:106–115

    Article  Google Scholar 

  • Snall T, Pennanen J, Kivisto L, Hanski I (2005b) Modelling epiphyte metapopulation dynamics in a dynamic forest landscape. Oikos 109:209–222

    Article  Google Scholar 

  • Sommer U, Padisák J, Reynolds CS, Juhász-Nagy P (1993) Hutchinson’s heritage: the diversity-disturbance relationship in phytoplankton. Hydrobiologia 249:1–7

    Article  Google Scholar 

  • Stauffer D, Aharony A (1994) Introduction to percolation theory. Taylor and Francis, London Revised second edition

    Google Scholar 

  • Stelter C, Reich M, Grimm V, Wissel C (1997) Modelling persistence in dynamic landscapes: lessons from a metapopulation of grasshopper Bryodema tuberculata. J Anim Ecol 66:508–518

    Article  Google Scholar 

  • Tilman D, May RM, Lehman CL, Nowak MA (1994) Habitat destruction and the extinction debt. Nature 371:65–66

    Article  Google Scholar 

  • Verheyen K, Vellend M, Van Calster H, Peterken G, Hermy M (2004) Metapopulation dynamics in changing landscapes: a new spatially realistic model for forest plants. Ecology 85:3302–3312

    Article  Google Scholar 

  • Wahlberg N, Klemetti T, Hanski I (2002) Dynamic populations in a dynamic landscape: the metapopulation structure of the marsh fritillary butterfly. Ecography 25:224–232

    Article  Google Scholar 

  • Watt AS (1947) Pattern and process in the plant community. J Ecol 35:1–22

    Article  Google Scholar 

  • Wiens JA (2000) Ecological heterogeneity: an ontogeny of concepts and approaches. In: Hutchings MJ, John E, Stewart AJ (eds) The ecological consequences of environmental heterogeneity. Blackwell, Oxford, pp 9–31

    Google Scholar 

  • Wiens JA (2001) The landscape context of dispersal. In: Clobert J, Danchin E, Dhondt AA, Nichols JD (eds) Dispersal. Oxford University Press, Oxford, pp 96–109

    Google Scholar 

  • With KA, King AW (1999) Extinction thresholds for species in fractal landscapes. Conserv Biol 13:314–326

    Article  Google Scholar 

Download references

Acknowledgments

We are grateful to Géza Meszéna, Éva Kisdi, György Szabó, and Hans Metz for valuable and enjoyable discussions about this project, and to Péter Mandl for helpful comments on an earlier draft of this manuscript. The project was subsidized by the Hungarian Scientific Research Fund (OTKA K61534), the Hungarian Ministry of Education (FKFP 0187/1990, István Széchenyi Scholarship), and the Hungarian Academy of Sciences (János Bolyai Scholarship). Á.K. acknowledges financial support from the European Science Foundation’s Theoretical Biology of Adaptation Programme, enabling participation in IIASA’s Young Scientists Summer Program, as well as subsequent visits to IIASA. Postdoctoral fellowships of Á.K. were funded by OTKA (D048406) and through a Lise Meitner grant to Á.K. and U.D. by the Austrian Science Fund (M983-N18). B.O. acknowledges support from the International Program of the Santa Fe Institute, USA. U.D. acknowledges financial support by the European Science Foundation, the Austrian Science Fund, the Austrian Federal Ministry of Education, Science, and Cultural Affairs, the Vienna Science and Technology Fund, and the European Research Training Network ModLife (Modern Life-History Theory and its Application to the Management of Natural Resources), funded through the Human Potential Programme of the European Commission.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ádám Kun.

Appendix: Well-mixed metapopulations

Appendix: Well-mixed metapopulations

When long-range dispersal is much more frequent than short-range dispersal, the metapopulation described by our model is well-mixed, so that all spatial correlations in the occupancy of sites are lost. This enables a simple analytical treatment, which we include here so as to demonstrate the crucial importance of spatial structure for our results.

Assuming a well-mixed metapopulation with a large number n of sites, the dynamics of the proportion of habitable occupied sites, N, is given by

$$\frac{dN}{dt} = N(p - N) - N\left(e + \frac{1}{2}f/p\right),$$

where time t is measured in units of n. This is a special case of the mean-field metapopulation dynamics studied by Keymer et al. 2000; in our model, the fraction p of habitable sites and the total number of sites remain constant).

The equilibrium metapopulation density \(N^{\ast}=\max(0,\;p-e-\frac{1}{2}f/p)\) decreases as f increases. This shows that, as expected, mean-field models cannot capture the bridging effect of landscape disturbance and therefore only account for the local extinctions caused by such disturbance. Moreover, the effect of a small disturbance frequency f on \(N^{\ast}\) is negligible for a well-mixed metapopulation, whereas it leads to marked changes in the equilibrium metapopulation densities of a spatially structured metapopulation (Fig. 5).

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kun, Á., Oborny, B. & Dieckmann, U. Intermediate landscape disturbance maximizes metapopulation density. Landscape Ecol 24, 1341–1350 (2009). https://doi.org/10.1007/s10980-009-9386-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10980-009-9386-0

Keywords

Navigation