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Cited by 301

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Newly discovered landscape traps produce regime shifts in wet forests

Open access
Lindenmayer, David B., Hobbs, Richard J., Likens, Gene E., Krebs, Charles J., Banks, Samuel C.·2011·Proceedings of the National Academy of Sciences

Abstract

We describe the “landscape trap” concept, whereby entire landscapes are shifted into, and then maintained (trapped) in, a highly compromised structural and functional state as the result of multiple temporal and spatial feedbacks between human and natural disturbance regimes. The landscape trap concept builds on ideas like stable alternative states and other relevant concepts, but it substantively expands the conceptual thinking in a number of unique ways. In this paper, we ( i ) review the literature to develop the concept of landscape traps, including their general features; ( ii ) provide a case study as an example of a landscape trap from the mountain ash ( Eucalyptus regnans ) forests of southeastern Australia; ( iii ) suggest how landscape traps can be detected before they are irrevocably established; and ( iv ) present evidence of the generality of landscape traps in different ecosystems worldwide.

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Crossref · 10.1073/pnas.1110245108

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Metadata

Authors
Lindenmayer, D. B., Hobbs, R. J., Likens, G. E., Krebs, C. J., & Banks, S. C.
Venue
Proceedings of the National Academy of Sciences
Published
2011-08-29
Volume
108
Issue
38
Pages
15887-15891
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1969437725
Cited by
301
References
2
FWCI
21.26
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Newly discovered landscape traps produce regime shifts in wet forests. https://app.cochat.ai/papers/10.1073/pnas.1110245108
The paper
Lindenmayer, D. B., Hobbs, R. J., Likens, G. E., Krebs, C. J., & Banks, S. C. (2011). Newly discovered landscape traps produce regime shifts in wet forests. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1110245108

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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