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Newly discovered landscape traps produce regime shifts in wet forests

Authors: David B. Lindenmayer; Richard J. Hobbs; Gene E. Likens; Charles J. Krebs; Sam C. Banks;

Newly discovered landscape traps produce regime shifts in wet forests

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.

Subjects by Vocabulary

Microsoft Academic Graph classification: geography geography.geographical_feature_category Ecology Logging Forest management Old-growth forest Natural (archaeology) Disturbance (ecology) Ecosystem Fire ecology Restoration ecology

Keywords

Multidisciplinary

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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    233
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
233
Top 1%
Top 10%
Top 1%
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