2019
DOI: 10.2989/00306525.2019.1581498
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Aboveground biomass quantification and tree-level prediction models for the Brazilian subtropical Atlantic Forest

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Cited by 12 publications
(7 citation statements)
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“…The aboveground biomass (AGB) for each stem was predicted using the allometric model constructed by Uller et al (2019) based on 105 individuals harvested in the study area (Eq. 1):…”
Section: Discussionmentioning
confidence: 99%
“…The aboveground biomass (AGB) for each stem was predicted using the allometric model constructed by Uller et al (2019) based on 105 individuals harvested in the study area (Eq. 1):…”
Section: Discussionmentioning
confidence: 99%
“…The present study is part of a comprehensive research currently under development in the Atlantic Forest biome. Previous studies in the same research area have already investigated the economic potential of secondary Atlantic Forests (Fantini et al 2019;Fantini and Siminski 2017;Trevisan et al 2016;Zambiazi et al 2021), volumetric models and aboveground biomass (Oliveira et al 2018;Uller et al 2021Uller et al , 2019; regeneration of woody species (Piazza et al 2017); as well as productivity and costs of timber harvesting operations (Britto et al 2017), harvesting impacts caused by forest management (Britto et al 2019;Bulfe et al 2009;Ruy et al 2014;Silva et al 2018) and impacts on canopy architecture after logging (Silva & Vibrans 2019).…”
Section: Introductionmentioning
confidence: 99%
“…In order to make the best use of available timber resources without harming ecosystem dynamics, it is essential to adopt planning techniques based on mathematical models that allow the prediction of production under the effect of forest interventions (Scolforo, 1998;Schmitz, 2013). However, there is still a superficial understanding of the patterns and factors of forest dynamics after logging, especially in the secondary forests of the Atlantic Coast, where only a few scientific studies and forest management experiments have been developed (Uller et al, 2019;Vibrans, 2019;Britto, 2017).…”
Section: Introductionmentioning
confidence: 99%