2012
DOI: 10.1111/j.1466-8238.2012.00778.x
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What controls tropical forest architecture? Testing environmental, structural and floristic drivers

Abstract: Aim To test the extent to which the vertical structure of tropical forests is determined by environment, forest structure or biogeographical history. Location Pan‐tropical. Methods Using height and diameter data from 20,497 trees in 112 non‐contiguous plots, asymptotic maximum height (H AM) and height–diameter relationships were computed with nonlinear mixed effects (NLME) models to: (1) test for environmental and structural causes of differences among plots, and (2) test if there were continental differences … Show more

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Cited by 200 publications
(311 citation statements)
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References 49 publications
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“…This may be due to the fact that Mugasha et al [18] did not include trees found in areas with similar climate conditions as that of Rondo or Dindili in their model. Studies have shown that ht-dbh relationship varies significantly with climate [12,36]. Since climate variation affects ht, this in turn affects trees AGB and volume.…”
Section: Height-diametermentioning
confidence: 99%
“…This may be due to the fact that Mugasha et al [18] did not include trees found in areas with similar climate conditions as that of Rondo or Dindili in their model. Studies have shown that ht-dbh relationship varies significantly with climate [12,36]. Since climate variation affects ht, this in turn affects trees AGB and volume.…”
Section: Height-diametermentioning
confidence: 99%
“…These patterns, however, may not directly translate to variations of forest above ground biomass (AGB) as diameter and wood density of trees also control the forest AGB and influence the landscape heterogeneity [22,23]. Over sharp gradients such as tropical montane forests, tree height decreases with the rising elevation as proxy for decreasing temperature [24], present a combined effect of both climatic factors and edaphic properties.…”
Section: Introductionmentioning
confidence: 99%
“…Estimating forest carbon stocks in an accurate, precise and verifiable way is a current challenge for forest-based projects to attenuate greenhouse gas emissions, such as REDD+ projects (Angelsen et al 2012). Estimating forest carbon stocks from the plot to the national level involves a combination of techniques, from field measurement to remote sensing, that are mutually dependent (Gibbs et al 2007).…”
Section: Introductionmentioning
confidence: 99%