Variabilidade espacial de atributos químicos do solo em variedades de Pinus
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Data
2016-06-10
Autores
Ruiz, Juan Gabriel Cristhoffer Lopes [UNESP]
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Universidade Estadual Paulista (Unesp)
Resumo
Estudos têm sido conduzidos para verificar as relações existentes entre o crescimento das florestas e os atributos químicos dos solos, responsáveis pelo potencial produtivo. O objetivo deste trabalho foi caracterizar e avaliar a variabilidade espacial de propriedades dendrométricas (altura e diâmetro a altura do peito) de povoamento de Pinus e a relação destes com os atributos químicos de um Latossolo Vermelho Amarelo do Instituto Florestal de Batatais –SP. Para o mapeamento dos teores de cálcio (Ca), magnésio (Mg), fósforo(P), potássio (K), matéria orgânica (MO), pH e acidez potencial (H+Al) as amostras de solos foram coletadas nos pontos de cruzamento de uma malha com intervalos regulares de 36 m, totalizando uma área de 16 hectares com espécies de Pinus, na profundidade de 0,0-0,20 m e 0,20-0,40 m, sendo coletadas 123 amostras em cada uma das duas profundidades, totalizando 246 amostras. Ao redor de cada ponto georreferenciado foram selecionadas nove árvores de Pinus, de maneira que cada ponto cadastrado fosse rodeado de forma uniforme, realizando-se as medidas de altura e diâmetro na altura do peito. Os dados foram submetidos à análise estatística descritiva, geoestatística e análises multivariadas. De acordo com os resultados obtidos, conclui-se que as árvores de Pinus apresentaram maior crescimento, com maiores valores de altura das árvores e do diâmetro na altura do peito, nas regiões em que os teores dos atributos químicos do solo foram maiores. O estudo mostrou que a análise multivariada foi eficiente para caracterizar os atributos químicos que foram mais sensíveis em discriminar as espécies de Pinus avaliadas sendo eles, o DAP, a altura da planta, Ca, Mg, K e pH com a Pinus caribaea var.bahamensis, e as variáveis H+Al, MO e P com a Pinus caribaea var.hondurensis.
Studies have been conducted to verify the relationship between the growth of forests and chemical properties of the soil that are responsible for the productive potential. The aim of this study was to characterize and evaluate the spatial variability of dendrometric properties (height and diameter at breast height) of pine stand , and Their relationship with the chemical attributes of an Oxisol of the Forest Institute of Batatais SP. For the mapping of the calcium (Ca), magnesium (Mg) , phosphorus (P) , potassium ( K ) , organic matter (OM), pH and potential acidity (H + Al) the soil samples were collected at the point of crossing a grid at intervals of 36 m, a total area of 16 hectares with pine species at a depth of 0,0 to 0,20 0,20-0,40 m, and collected 123 samples in each of the two depths, totaling 246 samples. Around each georeferenced point nine trees were selected Pinus, so that each spot was surrounded registered evenly. Then, there were the measures of height and diameter at breast height. The data were submitted to descriptive statistics, geostatistics and multivariate analysis. According to the results, it is concluded that the pine trees grew faster, with greater height values of trees and diameter at breast height, in areas where the levels of soil chemical properties were higher. The study revealed that the multivariate analysis was efficient to characterize the chemical attributes que Were most sensitive to discriminate Evaluated pine species . Being the diameter at breast height, plant height, Ca, Mg, K and pH Pinus caribaea var.bahamensis, and variable H + Al , OM an P with Pinus caribaea var.hondurensis.
Studies have been conducted to verify the relationship between the growth of forests and chemical properties of the soil that are responsible for the productive potential. The aim of this study was to characterize and evaluate the spatial variability of dendrometric properties (height and diameter at breast height) of pine stand , and Their relationship with the chemical attributes of an Oxisol of the Forest Institute of Batatais SP. For the mapping of the calcium (Ca), magnesium (Mg) , phosphorus (P) , potassium ( K ) , organic matter (OM), pH and potential acidity (H + Al) the soil samples were collected at the point of crossing a grid at intervals of 36 m, a total area of 16 hectares with pine species at a depth of 0,0 to 0,20 0,20-0,40 m, and collected 123 samples in each of the two depths, totaling 246 samples. Around each georeferenced point nine trees were selected Pinus, so that each spot was surrounded registered evenly. Then, there were the measures of height and diameter at breast height. The data were submitted to descriptive statistics, geostatistics and multivariate analysis. According to the results, it is concluded that the pine trees grew faster, with greater height values of trees and diameter at breast height, in areas where the levels of soil chemical properties were higher. The study revealed that the multivariate analysis was efficient to characterize the chemical attributes que Were most sensitive to discriminate Evaluated pine species . Being the diameter at breast height, plant height, Ca, Mg, K and pH Pinus caribaea var.bahamensis, and variable H + Al , OM an P with Pinus caribaea var.hondurensis.
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Palavras-chave
Geoestatística, Propriedades dendrométricas, Dependência espacial, Análises multivariadas, Geostatistics, Dendrometric properties, Spatial dependence, Multivariate analysis