2015
DOI: 10.1016/j.actao.2015.09.008
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Distribution of functional traits in subtropical trees across environmental and forest use gradients

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Cited by 16 publications
(14 citation statements)
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References 52 publications
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“…The observed relationship between local abundance and niche breadth was not significantly different than expected from the null model in all three regions [Colour figure can be viewed at wileyonlinelibrary.com] the Bolivian Amazon (c. 593 m) and Missouri Ozarks (c. 295 m). In addition, plots in the Argentinian Andes are located across two mountain ranges, in which climate varies strongly among sites (Blundo et al, 2016) and included some early-successional forests comprised of tree species with functional traits related to resource acquisition in disturbed habitats (Blundo, Malizia, & González-Espinosa, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…The observed relationship between local abundance and niche breadth was not significantly different than expected from the null model in all three regions [Colour figure can be viewed at wileyonlinelibrary.com] the Bolivian Amazon (c. 593 m) and Missouri Ozarks (c. 295 m). In addition, plots in the Argentinian Andes are located across two mountain ranges, in which climate varies strongly among sites (Blundo et al, 2016) and included some early-successional forests comprised of tree species with functional traits related to resource acquisition in disturbed habitats (Blundo, Malizia, & González-Espinosa, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…(2017) reported that high plot‐mean WSG increases AGB gain, and they argue that high stand‐level WSG indicates dominance of shade‐tolerant trees with less volumetric growth. In premontane forests, tree species with high WSG and high rates of DBH growth are canopy dominants (e.g., Anadenanthera colubrina , Myracrodruon urundeuva, and Myroxylon peruiferum , Blundo et al., 2015). Our results suggest that the main determinants of AGB dynamics (gain and loss rates) are abiotic variables (e.g., MAT and/or other factors that covary with elevation), but forest structure and species composition may also affect AGB dynamics to some degree.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, some plots had low‐intensity selective logging prior to the initial census. Forests in this region with low‐intensity logging largely recover to their pre‐logging condition, in terms of forest structure and species composition, within 20 years (Blundo, Malizia, & González‐Espinosa, 2015). In summary, 48 out of 60 plots were old‐growth forests (28 with grazing and 20 without), and 12 out of 60 plots were forests with low‐intensity logging (>20 years since the last selective logging) (Table S1).…”
Section: Methodsmentioning
confidence: 99%
“…Ocotea puberula , Chrysophyllum gonocarpum ). In premontane forest, biomass distribution varies according to climate at a regional spatial scale and to selective logging history at the landscape scale (Blundo et al 2015). Finally, variation in forest biomass may affect the phenological timing in DCF (Table 2), i.e.…”
Section: Discussionmentioning
confidence: 99%