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Habitat Fragmentation, Variable Edge Effects, and the Landscape-Divergence Hypothesis

Overview of attention for article published in PLOS ONE, October 2007
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Title
Habitat Fragmentation, Variable Edge Effects, and the Landscape-Divergence Hypothesis
Published in
PLOS ONE, October 2007
DOI 10.1371/journal.pone.0001017
Pubmed ID
Authors

William F. Laurance, Henrique E. M. Nascimento, Susan G. Laurance, Ana Andrade, Robert M. Ewers, Kyle E. Harms, Regina C. C. Luizão, José E. Ribeiro

Abstract

Edge effects are major drivers of change in many fragmented landscapes, but are often highly variable in space and time. Here we assess variability in edge effects altering Amazon forest dynamics, plant community composition, invading species, and carbon storage, in the world's largest and longest-running experimental study of habitat fragmentation. Despite detailed knowledge of local landscape conditions, spatial variability in edge effects was only partially foreseeable: relatively predictable effects were caused by the differing proximity of plots to forest edge and varying matrix vegetation, but windstorms generated much random variability. Temporal variability in edge phenomena was also only partially predictable: forest dynamics varied somewhat with fragment age, but also fluctuated markedly over time, evidently because of sporadic droughts and windstorms. Given the acute sensitivity of habitat fragments to local landscape and weather dynamics, we predict that fragments within the same landscape will tend to converge in species composition, whereas those in different landscapes will diverge in composition. This 'landscape-divergence hypothesis', if generally valid, will have key implications for biodiversity-conservation strategies and for understanding the dynamics of fragmented ecosystems.

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Mendeley readers

The data shown below were compiled from readership statistics for 1,068 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 29 3%
United States 10 <1%
Germany 4 <1%
Australia 4 <1%
Switzerland 3 <1%
Argentina 3 <1%
India 3 <1%
Portugal 2 <1%
Spain 2 <1%
Other 17 2%
Unknown 991 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 180 17%
Student > Master 177 17%
Student > Bachelor 157 15%
Researcher 148 14%
Student > Doctoral Student 64 6%
Other 183 17%
Unknown 159 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 492 46%
Environmental Science 262 25%
Earth and Planetary Sciences 36 3%
Biochemistry, Genetics and Molecular Biology 25 2%
Social Sciences 9 <1%
Other 44 4%
Unknown 200 19%