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Campo DCValorIdioma
dc.creatorTorres, Carlos Moreira Miquelino Eleto-
dc.creatorMedina-Vega, José Anibal-
dc.creatorRocha, Samuel José Silva Soares da-
dc.creatorCosta, Walter da Silva-
dc.creatorSoares, Carlos Pedro Boechat-
dc.creatorSouza, Agostinho Lopes de-
dc.creatorJacovine, Laércio Antônio Gonçalves-
dc.creatorLana, Jacinto Moreira de-
dc.creatorPeña-Claros, Marielos-
dc.date.accessioned2023-07-10T17:21:05Z-
dc.date.available2023-07-10T17:21:05Z-
dc.date.issued2023-04-
dc.identifier.citationTORRES, C. M. M. E. et al. Drivers of tree demographic processes in forest fragments of the brazilian atlantic forest . Forest Ecology and Management, [S.l.], v. 534, Apr. 2023.pt_BR
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0378112723001263pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/58093-
dc.description.abstractIn heterogeneous landscapes, such as the Brazilian Atlantic Forest, forest fragments are likely to undergo highly uncertain successional pathways because anthropogenic and environmental factors strongly affect demographic processes such as recruitment, growth, and mortality. We used data from 134 permanent plots (0.01–0.10 ha) across seven forest fragments in Minas Gerais, Brazil, to assess how anthropogenic variables and environmental factors drive demographic processes in Atlantic forest fragments. For each plot, we quantified anthropogenic variables related to land-use history (LUH) and estimated levels of fragmentation based on forest cover, forest fragment size, and distance to the forest edge. We also measured environmental factors related to topography (i.e., elevation and slope), soil chemical characteristics (i.e., soil pH in H2O, exchangeable cations, P content and soil organic matter), and climate (i.e., average annual precipitation and climatic water deficit [CWD]). We used plot basal area (BA) as a proxy for forest age. We quantified the effect of anthropogenic and environmental factors on relative recruitment, growth, and mortality rates using linear mixed-effects models (LMM). We found that anthropogenic variables (LUH and BA) were stronger predictors of relative recruitment (p-value < 0.001) than environmental variables. For relative growth, soil, elevation, and BA (p-value < 0.001) have the strongest effect. CWD (p-value < 0.001) was the most important predictor for mortality, suggesting that dry periods increase mortality rates in the studied fragments. Our findings suggest that the land-use history of individual fragments, combined with a higher frequency of drought events leading to increased mortality and turnover of individuals, will increase differences in demographic processes and successional pathways among fragments, thereby increasing the heterogeneity of these fragmented landscapes.pt_BR
dc.languageen_USpt_BR
dc.publisherElsevierpt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceForest Ecology and Managementpt_BR
dc.subjectForest dynamicspt_BR
dc.subjectAtlantic tropical forestspt_BR
dc.subjectForest fragmentationpt_BR
dc.titleDrivers of tree demographic processes in forest fragments of the brazilian atlantic forestpt_BR
dc.typeArtigopt_BR
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