Relações entre Atributos do Solo e Vegetações da Região Ecotonal do Médio Rio São Francisco, Brasil

Arruda, Daniel Meira; Schaefer, Carlos Ernesto Gonçalves Reynaud; Moraes, Mateus Lanna Borges de

doi:10.1590/01000683rbcs20150241

Cited by 5 publications

(5 citation statements)

References 12 publications

(15 reference statements)

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“…In this context, in the Middle São Francisco region (north of Minas Gerais and west of Bahia), arboreal Caatinga and Dry Forest also have great similarities with subtle difference only in soil texture (Arruda et al 2015b). The former is associated with soils slightly more sandy than the latter.…”

Section: Discussionmentioning

confidence: 99%

“…The similarity between the samples of arboreal Caatinga and Dry Forest, shown by both LDA and RF, proves the second hypothesis. Thus, it is likely that the difference between these vegetations is mainly structural (Arruda et al 2015b). The environmental similarity between the two vegetation can be explained in at least two ways.…”

Section: Discussionmentioning

confidence: 99%

“…The environmental similarity between the two vegetation can be explained in at least two ways. One possibility is that the arboreal Caatinga is a variation of the Dry Forest that has suffered chronic anthropogenic disturbance and is now in a stage of stagnant regeneration (Arruda et al 2015b), being incorrectly associated with the Caatinga biome only by its misleading structure. This does not mean that Dry Forest has not suffered such pressure.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, they provide great terminological confusion regarding the forest physiognomies of Caatinga. These are described as tall Caatinga forest (Andrade-Lima 1981), hypoxerophilic Caatinga (Brandão 1994, Arruda et al 2015b, Araújo Filho et al 2017, crystalline Caatinga (Queiroz 2006), arboreal Caatinga (Santos et al 2012, Moro et al 2016, deciduous stiff-leaved dwarf forest (Oliveira-Filho 2009) and forested steppic-savannah (IBGE 2004(IBGE , 2012a(IBGE , 2012b.…”

Section: Introductionmentioning

confidence: 99%

“…However, studies have shown that the arboreal Caatinga resembles floristically and environmentally the deciduous seasonal forest, or Dry Forest (Andrade-Lima 1981, Santos et al 2012, Arruda et al 2015b, the most hinterland and seasonal of the Atlantic Forest domain (Oliveira-Filho et al 2006). This similarity raises the question of whether arboreal Caatinga is a successional stage of Dry Forest (Arruda et al 2015b). If this hypothesis is confirmed, there are obvious implications for biodiversity protection.…”

Section: Introductionmentioning

confidence: 99%

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Climate and soils at the Brazilian semiarid and the forest-Caatinga problem: new insights and implications for conservation

Oliveira

Francelino

Arruda

et al. 2019

Environ. Res. Lett.

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This study aimed to test two hypotheses: (i) on the Brazilian semiarid territory, the climate has greater weight as a driver of vegetation than the soil and; (ii) the arboreal Caatinga is a vegetation whose environmental attributes are similar to the Dry Forest, in terms of soil and climate attributes. We analyzed attributes of the superficial horizon of 156 standardized profiles distributed throughout the Brazilian semiarid region. Bioclimatic variables were obtained from the WorldClim platform and extracted to profiles location. The main vegetation types in the region were considered: Caatinga, arboreal Caatinga, Dry Forest and Cerrado. Variable selection was performed with hierarchical correlation dendrogram and recursive feature elimination algorithm. Linear Discriminant Analysis and Random Forest (RF) algorithm were used for modeling the edaphic and climate niche and predict the vegetation with the selected variables. Climate and soil, individually, were able to separate the vegetation, but the climate was no better predictor than the soil. Therefore, we reject the first hypothesis. However, the better prediction was attained with the combined use of soil and climate attributes. The parsimonious RF model had good performance, with Kappa 0.61±0.10 and 70.9%±7.7% accuracy. The combination of soil and climate predictors resulted in better separation of vegetation in the Brazilian semiarid region. Soil attributes are key variables in large-scale biogeographic modeling. The so-called arboreal Caatinga is distributed over a wide edaphic and climatic range, with strong similarity to the Dry Forest distribution, confirmed by the great overlap in the multivariate space, which confirms the second hypothesis. The results point towards an urgent review of the Atlantic Forest Law. The environments where the arboreal Caatinga and the Dry Forest occur are very similar, so that the former may represent a degraded phase of the Atlantic Forest, currently without the due legal protection.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%