RESUMO Na agricultura de precisão a determinação de zonas de manejo dos atributos de solo e planta, é um processo complexo que demanda o conhecimento de muitas variáveis, o que dificulta o processo de gestão e tomada de decisão. Este estudo avaliou a variabilidade espacial da produtividade da cultura da soja e de atributos químicos do solo por meio de análise multivariada e geoestatística para a determinação de zonas de manejo específico em um Latossolo. A produtividade de soja e os atributos químicos do solo nas camadas 0-0.2 e 0.2-0.4 m de profundidade foram amostrados em 70 pontos de amostragem. Análises geoestatísticas e multivariadas foram então realizadas. As propriedades químicas do solo apresentaram maior variabilidade na profundidade de 0,2 a 0,4 m. Os parâmetros do semivariograma dos dados da análise de componentes principais (PCA) (PCA 1, PCA 2 e PCA 3) para ambas as profundidades foram mais homogêneos do que os dados originais. Os mapas de propriedades químicas do solo apresentaram alta similaridade com o mapa de produtividade da soja. A ACP explicou 65,34% (0 a 0,2 m) e 70,50% (0,2 a 0,4 m) da variabilidade dos dados, agrupando a produtividade da soja, matéria orgânica, pH, fósforo, potássio, cálcio, magnésio e sódio. A espacialização do PCA permitiu a definição das zonas de manejo indicadas pelo PCA 1, PCA 2 e PCA 3 para ambas as profundidades. O resultado indica que a área deve ser manejada utilizando diferentes estratégias de manejo da fertilidade do solo para aumentar a produtividade da soja.

ABSTRACT In precision agriculture, determining management zones for soil and plant attributes is a complex process that requires knowledge of several variables, which complicates management and decisionmaking processes. This study evaluated the spatial variability of soybean yield and soil chemical properties using geostatistical and multivariate analyses to define management zones in an Oxisol. The soybean yield and soil chemical properties between 0 to 0.2 and 0.2 to 0.4 m soil depths were sampled at 70 points. Geostatistical and multivariate analyses were then performed on these data. The soil chemical properties showed higher variability at 0.2 to 0.4 m soil depth. The semivariogram parameters of the principal component analysis (PCA) data (PCA 1, PCA 2, and PCA 3) for both depths were more homogeneous than the original data. The maps of soil chemical properties showed high similarity to the soybean yield map. The PCA explained 65.34% (0 to 0.2 m) and 70.50% (0.2 to 0.4 m) of data variability, grouping the soybean yield, organic matter, pH, phosphorous, potassium, calcium, magnesium, and sodium. PCA spatialization allowed for the definition of management zones indicated by PCA 1, PCA 2, and PCA 3 for both depths. The result indicates that the area must be managed using different strategies of soil fertility management to increase soybean yield.

RESUMO Os solos possuem elevada variabilidade ao longo da paisagem, que pode ser avaliada e caracterizada por meio de conceitos de invariância de escala, fractais e multifractais. Assim, o objetivo deste trabalho foi analisar a multifractalidade da RP de perfis verticais em diferentes formas do relevo (cδncavo e convexo). A parcela experimental possui 44,75 ha, e a resistência à penetração (RP) foi medida em 70 pontos de amostragem na camada de 0-0,6 m, distribuídos nas pedoformas cδncava (Tipo A: 38 pontos de amostragem) e convexa (Tipo B: 32 pontos de amostragem). A análise dos dados foi realizada utilizando o valor de RP a cada 0,01 m para os pontos de amostragem (RPmedia), e seus respectivos valores máximos (RPmaxima) e mínimos (RPminimo). A análise multifractal foi realizada para se avaliar as mudanças na estrutura, heterogeneidade e uniformidade dos perfis verticais por meio da propriedade de escala, caracterizando a função de partição, a dimensão generalizada e o espectro de singularidade. Os parâmetros multifractais da dimensão generalizada e do espectro de singularidade demonstraram maior homogeneidade e uniformidade dos perfis verticais de RP na pedoforma Tipo B (convexa), quando comparado a pedoforma A (cδncava). Os valores de RPmínimo na pedoforma A apresentaram a maior heterogeneidade de escala, indicando que em termos de manejo do solo, o monitoramento dos valores mínimos é mais relevante que os valores máximos. A análise fractal permitiu descrever a heterogeneidade dos dados em escalas não avaliadas pelos métodos análise convencionais, com elevado potencial para a prática da agricultura de precisão e delimitação de zonas de manejo específico.

ABSTRACT Soils are highly variable across landscapes, which can be assessed and characterized according to scale, as well as fractal and multifractal concepts of scale. Thus, the objective of this study was to analyze the multifractality of the penetration resistance (PR) of vertical profiles from different slope forms (concave and convex). The experimental plot incorporated 44.75 ha, and the PR was measured at 70 sampling points in the 0-0.6 m layer, distributed in concave (Type A: 38 sampling points) and convex pedoforms (Type B: 32 sampling points). Data analysis was performed using the PR value (every 0.01 m depth) for each of the sampling points (PRmean), and their respective maximum (Prmaximun) and minimum (PRminimum) values. Multifractal analysis was performed to assess the changes in the structure, heterogeneity, and uniformity of the vertical profiles according to the scale, characterizing the partition function, generalized dimension, and singularity spectrum. The multifractal parameters of the generalized dimension and singularity spectrum demonstrated greater homogeneity and uniformity in the vertical PR profiles of pedoform B (convex) compared to those of pedoform A (concave). The minimum PR values in pedoform A (PRminimum) showed the greatest scale heterogeneity, indicating that in terms of soil management, it is more relevant to monitor the minimum values than the maximum values. The fractal analysis allowed us to describe the heterogeneity of the data on scales not evaluated by conventional analysis methods, with high potential for use in precision agriculture and the delimitation of specific management zones.

ABSTRACT The objective of this study was to determine the multifractality of diversity indexes of edaphic fauna in areas with natural vegetation and in agricultural systems. Biological sampling was carried out in seven treatments (millet, maize, soybean, eucalyptus, preserved cerrado, disturbed cerrado and pasture), containing 130 pitfall traps, distributed in transects with 3 m of spacing between sampling points, totaling 390 m. The multifractal analysis was determined based on the moment method, where estimates such as the capacity dimensions, entropy and the correlation of the diversity indexes were calculated. The soybean area had greater Shannon diversity (2.69), however it had smaller abundance of individuals. The partition functions were adjusted with coefficient of determination > 0.90. The difference between D-10-D10, ranged from 0.080 to 1,707 for Pielou equitability in soybean cultivation, for richness in the area under the cultivation of eucalyptus. The singularity spectra expressed graphs with different degrees of heterogeneity for the soil fauna indexes, and the richness expressed the best structure. The area cultivated with soybean had a monofractal tendency, due to the homogeneous distribution of individuals of the edaphic fauna along the transect. The fractal analysis provided the description of patterns of variability that are not detected by classical methods.

ABSTRACT Soil beetles’ communities are responsible for many ecosystem services, and are very sensitive to environmental changes. Thus, this study aimed to evaluate the abundance and diversity of the soil coleoptera fauna under uses and management and also to identify relationships of the beetle community with soil’s physical and chemical properties. The experiment had six experimental plots set up an Oxisol (Latossolo): corn (CO), soybean (SO), 7-year-old eucalyptus (EI), 4-year-old eucalyptus (EII), preserved Cerrado (PC), and disturbed Cerrado (DC). Soil beetles were sampled at 128 points for each experimental plot, where the soil physical and chemical properties were analyzed. The Coleoptera fauna organisms were identified at the family, subfamily, and gender level, and then, the number of individuals per day, richness, Shannon diversity indexes, and Pielou evenness were determined. The data were analyzed using multivariate techniques (hierarchical grouping and factor analysis). On total, 750 specimens of beetles were collected, distributed into 9 families, 14 subfamilies, and 27 genera. The most abundant family was Scarabaeidae (11 genera) with the highest occurrence in the PC (143 specimens) and DC (81 specimens). Cultivation with SO presented the greatest number of trap day individuals (ind trap-1 day-1 = 0.548); however, the highest diversity was found in the PC. (20 taxonomic groups) and CO (16 taxonomic groups). Shannon diversity was higher for the CO (H’ = 3.107), followed by the PC (H’ = 2.699), and the lowest value was found for the SO (H’ = 1.530). The similarity dendrogram grouped the plots into two extracts, demonstrating how the intensity of land use influences the abundance and diversity of beetle fauna. The factor analysis grouped the Coleoptera and the physical and chemical soil properties in two factors: elements related to the state of aggregation and porous system’s elements. The Coleoptera community was influenced by the intensity of land use and the portion with anthropized natural vegetation showed the highest richness, demonstrating that the Coleoptera fauna responds to environmental changes. Edaphic beetles in the different use and management systems were primarily related to soil physical properties, which explain the state of aggregation (pH, altitude, Ca2+, BD, clay, macroporosity, silt, K+, and microporosity) and the porous soil system (sand and total porosity).

RESUMO O solo é o habitat de vários organismos que desempenham funções essenciais para o ecossistema, cujo conjunto de funções e interações são modificadas pelas diferentes maneiras de ocupação do solo. Assim, o objetivo deste trabalho é avaliar a diversidade da fauna edáfica em diferentes sistemas de ocupação do solo. O estudo foi desenvolvido em diferentes sistemas de ocupação do solo: milheto, milho, soja, eucalipto, cerrado preservado, cerrado antropizado e pastagem, onde foram instaladas 130 armadilhas do tipo pitfall por tratamento. Os organismos da fauna do solo foram identificados a nível de grandes grupos (ordens e família), e, depois, os índices de diversidade biológica: índice de Shannon, índice de Pielou, riqueza e abundância média e total. A maior abundância foi encontrada para milheto (9.974 indivíduos), e os menores valores de abundância foram verificados para soja (222 indivíduos) e milho (824 indivíduos), respectivamente. A distribuição uniforme dos grupos na área de soja, devido ao manejo homogêneo da área, proporcionou o maior índice biológico (H’=2,69). A análise de componentes principais (PCA) explicou no eixo principal 50,9% dos dados e no eixo secundário 34,6% dos dados. Os diferentes sistemas de ocupação do solo, apresentaram abundância e diversidade distinta, demonstrando como a ocupação do solo interfere sobre a dinâmica da fauna invertebrada do solo.

ABSTRACT Soil is the habitat for a number of living organisms that perform essential functions within the ecosystem; their functions and interactions are modified according to different ways of land occupation. Thus, the objective of this study was to evaluate the diversity of edaphic fauna in different soil occupation systems. The study was carried out in different soil occupation systems: millet, maize, soybean, eucalyptus, preserved cerrado, disturbed cerrado, and pasture, with 130 pitfall traps installed per treatment. Soil fauna organisms were identified at the level of large groups (orders and family), and then examined under the following biological diversity indices: Shannon index, Pielou index, average and total richness, and abundance. The highest abundance was found under millet growing conditions (9,974 individuals), and the lowest abundance values were found in soybean soil (222 individuals) and maize (824 individuals). Uniform distribution of groups in the area with soybean crops, due to the homogeneous management of the area, provided the highest biological index (H'=2.69). Principal component analysis (PCA) explained 50.9% of the data along the main axis and 34.6% of the data along the secondary axis. The different systems of soil occupation showed different abundance and diversity, demonstrating how soil occupation interferes with the dynamics of the invertebrate soil fauna.

Abstract The state of Maranhão, located in northeastern Brazil, comprises three biomes: Amazonian, Caatinga, and the Cerrado. To date, 99 ant species have been recorded in the literature from the state. In the present work, we provide for the first time a profile of the ant fauna in the state based on data from the historical literature and Brazilian institutional collections. The updated records on ant diversity for the state of Maranhão revealed a total of 279 species, belonging to 71 genera and 10 subfamilies. In total, 180 species are recorded for the first time in the state, of which four species recorded for the first time in Brazil. In summary, apart from documenting the ant fauna of the region, these results provide a basis for further studies and may contribute to future conservation efforts for the biomes present in this complex landscape.

ABSTRACT Geostatistics allows the evaluation of the distribution pattern of data with high spatial variability in agricultural systems. This study aimed to evaluate the spatial variability of biological diversity indices of soil fauna under different land (agriculture and forest). Samples were collected in seven areas (millet, soybean, corn, eucalyptus, pasture crops, and preserved and disturbed Cerrado), in Maranhão state, Brazil. The soil fauna was caught trapped in pitfall traps, installed 3 m away from each other. In each area, 130 traps were maintained for seven days. After this period, they were removed and their content transferred to bottles and taken to the laboratory, where the insects were screened and identified at the level of orders and families. Eight indices were calculated, namely: individuals trap-1 day-1, Jackknife richness estimator, the Simpson, McIntosh, Shannon, and total diversity, and Simpson dominance, and Pielou equitability indices. The spatial variability was derived from the semivariograms fitted to Gaussian, spherical, and exponential geostatistical models. Statistical analysis showed medium values of the coefficient of variation for millet, except for the indices individuals trap-1 day-1 and McIntosh diversity, which were considered high. The values of the correlation matrix were negative for some indices, suggesting an inverse relationship. For millet, corn, eucalyptus, disturbed Cerrado, and pasture areas, the Shannon diversity index exhibited a pure nugget effect. For the areas of millet, corn, disturbed Cerrado and pasture, the total diversity index was adjusted to the Gaussian model. The degree of spatial dependence was considered high for the individuals trap-1 day-1 and Pielou equitability indices for millet. Only for soybean and pasture similarity in the scaled semivariograms was observed for the spatial variability of the indices, indicating similarity of performance. Soil management and land use affect the patterns of soil fauna abundance, richness, and diversity. The presence of groups such as Araneae, Diplura, and Poduromorpha are related to ecological equilibrium, quality, and sustainability of the agricultural systems studied.