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Habitat fragmentation, variable edge effects, and the landscape-divergence hypothesis
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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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Carbon, Carbon Storage, Conservation Biology, Drought, Forest Dynamics, Forest Fragmentation, Habitat Fragmentation, Hypothesis, Landscape Ecology, Plant Community, Prediction, Spatial Soil Variability, Species Composition, Species Invasion, Vegetation Dynamics, Weather, Biodiversity, Ecology, Ecosystem, Environment, Environmental Protection, Geography, Population Dynamics, Reproducibility, Species Difference, Statistical Model, Time, Tropic Climate, Biodiversity, Conservation Of Natural Resources, Ecology, Ecosystem, Environment, Geography, Linear Models, Population Dynamics, Reproducibility Of Results, Species Specificity, Time Factors, Tropical Climate
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Licença Creative Commons
Exceto quando indicado de outra forma, a licença deste item é descrita como Attribution-NonCommercial-NoDerivs 3.0 Brazil

