2008
DOI: 10.1016/j.biocon.2008.04.024
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Forest fragmentation and edge effects from deforestation and selective logging in the Brazilian Amazon

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Cited by 459 publications
(407 citation statements)
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References 56 publications
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“…The next three most significant factors, including the fractional cover of nonwoody plants and bare substrate as well as relative elevation above nearest water body, accounted for an additional 32% of the ACD variation throughout the country. Within forest ecosystems, nonwoody canopy and bare substrate cover are well-known metrics of deforestation and degradation via logging and fire that removes woody plants (16)(17)(18)(19)(20)(21)(22). Relative elevation above the nearest water is highly indicative of a water deficit in deserts and grasslands or of a water surplus (which can cause anoxia) in rainforests, both of which reduce vegetation carbon storage.…”
Section: Resultsmentioning
confidence: 99%
“…The next three most significant factors, including the fractional cover of nonwoody plants and bare substrate as well as relative elevation above nearest water body, accounted for an additional 32% of the ACD variation throughout the country. Within forest ecosystems, nonwoody canopy and bare substrate cover are well-known metrics of deforestation and degradation via logging and fire that removes woody plants (16)(17)(18)(19)(20)(21)(22). Relative elevation above the nearest water is highly indicative of a water deficit in deserts and grasslands or of a water surplus (which can cause anoxia) in rainforests, both of which reduce vegetation carbon storage.…”
Section: Resultsmentioning
confidence: 99%
“…First, we are able to apply GLOBIO at a fine resolution with globally available data by improving the designation of different land-use types (e.g., managed pasture vs. grassland, managed vs. primary-growth forest), and we develop a method for estimating fragmentation using a Gaussian filter to smooth individual pixel changes. Second, we adapt the InVEST carbon model to account for empirical evidence that higher mortality rates for large trees exist in forest edges, and thus the amount of carbon that vegetation can store increases with distance from forest edge (48,49). We use the pantropical carbon and associated land cover datasets created by the Woods Hole Research Center (50) to construct a logarithmic regression between distance to forest edge and forest biomass and apply that predictive relationship to all forest pixels in our scenarios.…”
Section: Methodsmentioning
confidence: 99%
“…Logging gaps are heterogeneous. In particular, the proportion of edges and centres may differ depending on the gap shape (Broadbent et al 2008;Lopes et al 2009). We thus focused on two habitats, gap edges (a 4-m-perimeter band of each gap), and logging gaps (gap centres at least 4 m from any edge).…”
Section: S I T E D E S C R I P T I O Nmentioning
confidence: 99%