Relationship scales of soil arthropods and vegetation structure of Cerrado phytophysiognomies

• Autor(a) principal: Siqueira,Glécio M.
• Data de Publicação: 2022
• Outros Autores: Silva,Raimunda A.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662022000700479
• topic: biological indicators; plant formations; Brazilian savanna; geostatistics; multifractal

ABSTRACT The objective of this study was to assess the scale relationships of soil arthropods and the vegetation structure of Cerrado phytophysiognomies. The experimental plots were set in areas with dense Cerrado (T1), typical Cerrado (T2), and sparse Cerrado (T3). The edaphic fauna was collected at 128 points through pitfall traps, and the vegetation was evaluated in subplots of 9 m2. The data were evaluated using descriptive statistics, geostatistics, multifractal analysis, and joint multifractal analysis. The soil arthropods and vegetation structure were adjusted to a geostatistical model, except for arborescent plants (T1) and arthropod abundance and arboreal plants (T2), which showed a pure nugget effect. The studied variables showed different degrees of multifractality. The graphs of joint multifractal dimension showed circular lines with high values of joint correlation for the pairs of arthropod richness versus the abundance of plant strata (r = -0.498), arthropod richness versus herbaceous plants (r = 0.323), and arthropod richness versus arboreal plants (r = 0.451) at T1. The soil fauna was influenced by the composition of the plant strata. The plots with dense Cerrado (T1) and sparse Cerrado (T3) showed the greatest spatial dependence between the samples. The multifractal analysis showed that the plot with sparse Cerrado (T3) had the greatest heterogeneity of measurement along the geometric support. In contrast, the greatest asymmetry of the singularity spectrum was described for the plot with dense Cerrado (T1). The use of geostatistical and multifractal analysis tools enabled us to characterize the scale relationships between the variables.