Landscape fragmentation overturns classical metapopulation thinking

Author:

Tao Yun12ORCID,Hastings Alan34ORCID,Lafferty Kevin D.56,Hanski Ilkka7,Ovaskainen Otso789ORCID

Affiliation:

1. Department of Ecology, Evolution, and Marine Biology, University of California, Santa Barbara, CA 93117

2. Institute of Bioinformatics, University of Georgia, GA 30602

3. Department of Environmental Science and Policy, University of California, Davis, CA 95616

4. Santa Fe Institute, NM 87501

5. U.S. Geological Survey, Western Ecological Research Center, CA 93106

6. Marine Science Institute, University of California, Santa Barbara, CA 93117

7. Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki 00014, Finland

8. Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä FI-40014, Finland

9. Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim N-7491, Norway

Abstract

Habitat loss and isolation caused by landscape fragmentation represent a growing threat to global biodiversity. Existing theory suggests that the process will lead to a decline in metapopulation viability. However, since most metapopulation models are restricted to simple networks of discrete habitat patches, the effects of real landscape fragmentation, particularly in stochastic environments, are not well understood. To close this major gap in ecological theory, we developed a spatially explicit, individual-based model applicable to realistic landscape structures, bridging metapopulation ecology and landscape ecology. This model reproduced classical metapopulation dynamics under conventional model assumptions, but on fragmented landscapes, it uncovered general dynamics that are in stark contradiction to the prevailing views in the ecological and conservation literature. Notably, fragmentation can give rise to a series of dualities: a) positive and negative responses to environmental noise, b) relative slowdown and acceleration in density decline, and c) synchronization and desynchronization of local population dynamics. Furthermore, counter to common intuition, species that interact locally (“residents”) were often more resilient to fragmentation than long-ranging “migrants.” This set of findings signals a need to fundamentally reconsider our approach to ecosystem management in a noisy and fragmented world.

Funder

DNI | Intelligence Community Postdoctoral Research Fellowship Program

DOI | U.S. Geological Survey

Research Council of Finland

EC | European Research Council

Publisher

Proceedings of the National Academy of Sciences

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