Landscape fragmentation overturns classical metapopulation thinking
Tao, Y., Hastings, A., Lafferty, K. D., Hanski, I., & Ovaskainen, O. (2024). Landscape fragmentation overturns classical metapopulation thinking. Proceedings of the National Academy of Sciences of the United States of America, 121(20), Article e2303846121. https://doi.org/10.1073/pnas.2303846121
Date
2024Copyright
© 2024 the Authors
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.
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National Academy of SciencesISSN Search the Publication Forum
0027-8424Keywords
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https://converis.jyu.fi/converis/portal/detail/Publication/213532570
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European CommissionFunding program(s)
ERC European Research Council, H2020
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about funding
K.D.L. was supported by the U.S. Geological Survey Ecosystems Mission Area. O.O. was funded by Academy of Finland (grant no. 309581), Jane and Aatos Erkko Foundation, Research Council of Norway through its Centres of Excellence Funding Scheme (223257), and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 856506; ERC- synergy project LIFEPLAN). ...License
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