ABSTRACT Monitoring the spatial variability of soil attributes is an important tool in crop management. Multivariate statistical methods and geostatistics were jointly applied to evaluate the infl uence of different attributes on spatial variability in the soil. The aim of this research was to apply multivariate principal component analysis to map the spatial variability of the soil in an area subjected to different methods of conservation management and identify the most relevant physical and chemical attributes. Disturbed and undisturbed soil samples were collected and georeferenced at 99 different points in the study area at depths of 0.00 - 0.10 m and 0.10 - 0.20 m to measure the physical and chemical attributes of the soil; multivariate principal component analysis (PC) was then applied to the data. Geostatistics was applied to the PCs showing greater explanatory capacity, evaluating spatial dependence, and generating maps of spatial variability. The variance in the soil attributes was explained by the first eight PCs. Soil density, particle density and pH had the greatest infl uence on the spatial variability of the soil since they showed the highest correlation with the PC with the greatest explanatory power. The PCs that correlated with at least two of the soil attributes showed moderate (PC1 and PC6) and strong (PC2, PC4 and PC5) spatial dependence. The generated maps helped identify the joint infl uence of the variability of the most relevant attributes, making it possible to characterise regions under different methods of conservation management. 9 000 0 00 0.0 010 10 0.1 020 20 0.2 (PC data capacity dependence power PC1 PC6 PC2, PC2 (PC2 PC5 0. 01 1 02 2

RESUMO Os estudos sobre a variabilidade espacial de atributos do solo de pastagens tropicais buscam conhecimentos que possam auxiliar nas tomadas de decisões sobre os manejos destes solos. O presente estudo teve como objetivo avaliar a variabilidade espacial de atributos químicos do solo e seus efeitos na produtividade de área cultivada com Tifton 85. O experimento foi realizado na Fazenda Feno Rio, localizada na Universidade Federal Rural do Rio de Janeiro, em Seropédica, em uma área de 3,91 ha. Os solos foram amostrados em malha irregular, perfazendo o total de 50 pontos georreferenciados, nas profundidades de 0-0,20 e 0,20-0,40 m. Foram analisados os atributos químicos do solo pH em água, Al+3, Ca+2, Mg+2, Na+, K+, P, H+Al e COT, além da massa seca (MS) da Tifton 85 para avaliação da produtividade. A partir destes parâmetros foram realizadas análises de estatística descritiva, correlação linear, geoestatística e geração de mapas. Foi possível inferir diferentes zonas de produtividade em relação à média geral, verificando-se que a produtividade média na área foi de 2.248 kg ha-1. Os parâmetros químicos do solo Na+, Ca+2, COT e H+Al correlacionaram significativamente com a MS, confirmando serem importantes e interferirem na produtividade da Tifton 85. Percebeu-se que a realização de mapeamentos ao longo do ciclo da Tifton 85 são importantes na compreensão da variabilidade da produção de MS e a investigação de áreas com diferentes potenciais produtivos deve ser acompanhada de mapas de atributos químicos do solo, buscando correlacionar e entender as razões que podem estar envolvidas nestas variações.

ABSTRACT Studies on spatial variability of soil attributes of tropical pastures gather information that can assist in decision making about managements of these soils. The objective of the present study was to evaluate the spatial variability of soil chemical attributes and their effects on grass yield of Tifton 85. The experiment was carried out in an area of 3.91 ha at the Feno Rio Farm of the Federal Rural University of Rio de Janeiro, Seropédica, RJ, Brazil. Soils of the 0-0.20 and 0.20-0.40 m layers were sampled considering an irregular sampling mesh, making a total of 50 georeferenced points. The parameters evaluated were: the soil chemical attributes pH, Al+3, Ca+2, Mg+2, Na+, K+, P, H+Al, and total organic carbon (TOC); and the Tifton 85 dry matter yield (DMY). The results of these parameters were subjected to descriptive statistics, linear correlation, and geostatistics, and maps were developed for the analyses. Regions with grass yields different from the general mean were found in the area, which presented mean grass yield of 2248 kg ha-1. The soil chemical parameters Na+, Ca+2, TOC, and H+Al were significantly correlated with DMY, confirming that they are important and affect the Tifton 85 grass yield. The mapping of the Tifton 85 cycle is important for understanding the variability of DMY. The investigation of areas with different productive potentials should be followed by development of maps of soil chemical attributes to correlate and understand the ratios that may be involved with these variations.

Resumo O solo é um recurso natural fundamental para a subsistência e desenvolvimento da humanidade, sendo principalmente explorado pela agricultura, cujas práticas inadequadas comprometem as condições edáficas, favorecendo a ocorrência de processos erosivos, que culminam principalmente na perda de solo e nutrientes. A erosão hídrica atua como principal forma de degradação do solo, em que, a partir da ação do impacto da gota de chuva sobre o solo, ocorre o desprendimento de partículas que, associadas a fatores como clima, relevo, solo vegetação e uso e ocupação, favorecem esse processo. O objetivo do estudo foi classificar quatro voçorocas com base em seus estágios evolutivos e julgar as classificações físico-químicas do solo nas faces internas e externas das voçorocas. A morfologia das voçorocas foi classificada por imagem aérea gerada por drone. As voçorocas foram mapeadas usando imagens do Google Earth a partir de 2016. A avaliação qualitativa foi realizada usando o modelo digital de curvatura de elevação de campo (MDSC) com validação de campo. Amostras deformadas foram coletadas nas profundidades de 0-10 e 10-20 cm, enquanto amostras não deformadas foram coletadas em profundidades de 0-10 cm para avaliar seus atributos químicos e físicos. De posse dos dados foi realizada análise estatística não paramétrica de Kruskal-Wallis a 5%. Os atributos químicos e físicos do solo diferiram de acordo com o estágio evolutivo nas faces (interna e externa) em profundidades de 0 a 10 cm, enquanto as faces mostraram diferenças em profundidade de 10 a 20 cm.

Abstract Soil is a fundamental natural resource for subsistence and development of humanity, exploited mainly for agriculture. Agricultural practices, though, are improperly performed, compromising edaphic conditions and favoring erosive processes, which mainly culminate in the loss of soil and nutrients. Water erosion represents the main form of soil degradation, given that the impact of raindrops on the soil results in the detachment of particles, a process favored by factors such as climate, relief, soil vegetation and use and occupation. The objective of the study was to classify four gullies based on their evolutionary turns and to judge the physical-chemical classifications of the soil at the internal and external faces of the gullies. The morphology of the gullies was classified by aerial images generated by drones. The gullies were mapped using Google Earth images from 2016. The qualitative assessment was performed using the digital field-elevation curvature (MDESC) model with field validation. Deformed samples were collected at depths of 0-10 and 10-20 cm, while non-deformed samples were collected at depths of 0.0-0.10 cm to evaluate their chemical and physical attributes. A nonparametric 5% Kruskal-Wallis statistical analysis was performed on the resulting data. The chemical and physical attributes of the soil differed according to the evolutionary stage of the surfaces (internal and external) at depths of 0 to 10 cm, while the faces showed differences in depth of 10 to 20 cm.

Abstract This study aimed to evaluate enzyme activity, glomalin-related soil proteins (GRSP), soil chemical attributes, and total organic carbon (TOC) in two Agroforestry systems (AFS) (AFS-1 and AFS-2), in a traditional agriculture area (TA), and secondary forest (SF) area in Paraty (RJ). Soil samples (from 0 to 5 cm depth) were collected during the rainy and dry seasons. AFS improves and/or maintains soil chemical indicators based on pH increase, reduces aluminum saturation and maintains soil nutrient content (Ca, Mg and K), when compared with SF. The contribution of organic material and the biodiversity of the AFS provide the maintenance of the total organic carbon content of the soil. AFS maintain the activity of the enzymes protease, β-glucosidase, acid phosphatase, and total enzyme activity (FDA), and the production of glomalin-related soil protein at levels similar to those observed in SF, especially during the rainy season.