2013
DOI: 10.1371/journal.pone.0060875
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Forest Canopy Gap Distributions in the Southern Peruvian Amazon

Abstract: Canopy gaps express the time-integrated effects of tree failure and mortality as well as regrowth and succession in tropical forests. Quantifying the size and spatial distribution of canopy gaps is requisite to modeling forest functional processes ranging from carbon fluxes to species interactions and biological diversity. Using high-resolution airborne Light Detection and Ranging (LiDAR), we mapped and analyzed 5,877,937 static canopy gaps throughout 125,581 ha of lowland Amazonian forest in Peru. Our LiDAR s… Show more

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Cited by 121 publications
(178 citation statements)
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“…3). λ is a quantitative index often used to compare and contrast biomass turnover rates in tropical forests (Gloor et al, 2009;Asner et al, 2013;Chambers et al, 2013). Our results thus suggest that turnover rates are relatively constant when ascending from the lowlands into the montane.…”
Section: Discussionmentioning
confidence: 60%
See 1 more Smart Citation
“…3). λ is a quantitative index often used to compare and contrast biomass turnover rates in tropical forests (Gloor et al, 2009;Asner et al, 2013;Chambers et al, 2013). Our results thus suggest that turnover rates are relatively constant when ascending from the lowlands into the montane.…”
Section: Discussionmentioning
confidence: 60%
“…To date, most studies of forest functional and structural patterns have focused on the Amazon lowlands, demonstrating that forest canopy height, aboveground biomass and foliar nutrient concentrations vary by community, soil type and geologic substrate (Quesada et al, 2012;Baker et al, 2004;Fyllas et al, 2009;Asner et al, 2010). A recent study also found that canopy gap-size frequency distributions -a quantitative expression of turnover patterns -are surprisingly constant throughout the southwestern Amazonian lowlands (Asner et al, 2013).…”
Section: G P Asner Et Al: Landscape-scale Changes In Forest Structurementioning
confidence: 99%
“…Except for a few values, most of the power-law exponents of GPP extremes (defined by the 5th percentile or higher) are well in the range between 1.55-1.75, and 1.65-1.95 for overall impact and spatial extent, respectively. Hence, the values for the spatial extent fall in the range of exponents recently estimated for canopy gaps in tropical forests (α = 1.83 ± 0.09; Asner et al, 2013). Low power-law exponents (α < 2.0) imply that the distribution of extremes is largely dominated by few very large events, as has been discussed for the case of canopy gaps (Fisher et al, 2008;Asner et al, 2013).…”
Section: Extreme Events In Gpp Are Power-law Distributedmentioning
confidence: 52%
“…In ecology, power laws most often occur either as bivariate relationships (e.g., population density-body mass; (Marquet et al, 1990)) or frequency size distributions (e.g., body sizes; (Morse et al, 1985)), vegetation patches (Kéfi et al, 2007) fire magnitudes (Turcotte et al, 2002), or canopy gaps (Asner et al, 2013). Earlier attempts to describe disturbance events in form of power laws were restricted to their spatial extent (Fisher et al, 2008;Gloor et al, 2009;Kellner and Asner, 2009;Asner et al, 2013). It has recently been shown that the overall impacts of negative extreme events in fAPAR Zscheischler et al, 2013) and GPP (Zscheischler et al, 2014) can also be well approximated by power laws at the global scale.…”
Section: Extreme Events In Gpp Are Power-law Distributedmentioning
confidence: 99%
“…Our contrasting results may arise from our focus on the occurrence of only relatively big individuals, or then from some local historical reasons that have temporarily reduced the abundance of the species in the forests of the Nauta Formation. Asner et al (2013) reported from southern Peru that lowland rain forest canopy gap fequency and size distribution was practically invariable over different geological surfaces. This together with our results supports the idea that tropical rain forest structure changes much less readily in response to spatial variation in soil nutrient status than species composition does (Tuomisto et al 2003;DeWalt and Chave 2004;Paoli et al 2008).…”
Section: Similar Understorey Structure In Spite Of Edaphic and Florismentioning
confidence: 99%