Spatial variability of weeds in an Oxisol under no-tillage system

Siqueira, Glécio Machado; Silva, Raimunda Alves; Aguiar, Alana das Chagas Ferreira; Costa, Mayanna Karlla Lima; Silva, ÃŠnio Farias FranÃ§a e

doi:10.5897/ajar2016.11120

Cited by 4 publications

(11 citation statements)

References 22 publications

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“…McIntosh, Shannon diversity, Simpson dominance, and Pielou equitability in the corn area; Simpson, McIntosh diversity, total diversity in soybean area; Simpson, McIntosh, Shannon diversity, total diversity, Simpson dominance, and Pielou equitability in the eucalyptus area; individuals trap -1 day -1 , jackknife richness, Simpson diversity, McIntosh diversity, total diversity, and Pielou equitability in the preserved Cerrado area; Simpson diversity, Shannon diversity, Simpson dominance, and Pielou equitability in the disturbed Cerrado; individuals trap -1 day -1 , Simpson, McIntosh, Shannon index, and Pielou equitability in the pasture area. Siqueira et al (2016) evaluating the variability of weeds in a no-tillage system obtained a pure nugget effect for the Shannon diversity index, the same occurred in the present study for millet, corn, eucalyptus, disturbed Cerrado, and pasture areas. The pure nugget effect indicates that 3 m spacing was not sufficient to detect spatial variability (Vieira, 2000).…”

Section: Resultssupporting

confidence: 84%

“…In general, changes in group abundance, diversity, and composition reflect disturbances of the ecosystem (Domínguez et al, 2014). Agricultural practices cause numerous changes in the composition and distribution of soil biota, directly affecting soil processes such as nutrient cycling, organic matter decomposition, porosity, and water infiltration (Vries et al, 2013;Wagg et al, 2014;Siqueira et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Spatial Variability of Soil Fauna Under Different Land Use and Managements

Silva

Siqueira

Costa

et al. 2018

Rev. Bras. Ciênc. Solo

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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.

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Section: Resultssupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Spatial Variability of Soil Fauna Under Different Land Use and Managements

Silva

Siqueira

Costa

et al. 2018

Rev. Bras. Ciênc. Solo

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“…In both sampling areas, it was possible to determine spatial distribution maps for dicotyledonous and monocotyledonous (Figures 2 and 3), as also observed by Chiba et al (2010) and Ferreira et al (2013). Kriging maps, in the two areas analyzed, represent a spatial ISSN 2166-0379 2020 distribution in spots or patches, confirmed by the dispersion index and the parameter k, as analyzed by Schaffrath et al (2007) and observed by Siqueira et al (2016). However, in area 01, Sida rhombifolia L. has a more uniform infestation throughout the landscape.…”

Section: Journal Of Agricultural Studiessupporting

confidence: 66%

“…The theoretical, spherical and exponential models expressed better fit to the experimental semivariogram, whereas the dicotyledonous in area 01 fit better to the Gaussian model (Table 5). Comparable results were observed by Siqueira et al (2016) who obtained the best adjustments for the spherical, exponential and gaussian models. According to the classification of Cambardella et al (1994), the analyzed species presented strong degree of spatial dependence (DSD), except for dicotyledonous in area 01, which showed moderate DSD.…”

Section: Journal Of Agricultural Studiessupporting

confidence: 56%

“…Several authors have adopted geostatistics to study the spatial variability of weeds in the corn crop (Calha et al, 2014), soybeans crops (Santi et al, 2014), in the cultivation of grains and cover crops (Chiba et al, 2010) and sunflower crops (Siqueira et al, 2016). However, studies on the spatial distribution of the weed or invasive bank both in cultivation areas and in areas of native vegetation are scarce in the literature.…”

Section: Journal Of Agricultural Studiesmentioning

confidence: 99%

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Spatial Distribution of Weed Seed Banks in the Agricultural Field and Anthropized Cerrado

Lopes

Silva

Costa

et al. 2020

JAS

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Characterization of the seeds bank is an essential tool for decision making on weed control and management practices and the study and maintenance of the ecological dynamics of natural areas. In this context, the present study aimed to characterize the spatial variability of the seeds bank in an experimental agricultural field and an anthropized cerrado area, using the ordinary kriging geostatistical technique. Sampling was carried out on 10x10 regular grids in two different environments. Area 01 consisted of an experimental agricultural field of annual crops (soy and corn); area 02 represented the anthropized cerrado. The sample grids consisted of 25 points collected at a depth of 0.00-0.20 m. The soil samples were placed in 6.38 dm3 and 0.05 m² plastic containers. Spatial distribution maps of the species found have been drawn up, grouped in dicotyledonous, monocotyledonous, and total density, in addition, the density of three weeds most found in each area. The weed seed bank present strong spatial variability to 01 and 02, which indicates behavior in spots or in patches for both dicotyledonous and monocotyledonous plants, especially Mollugo verticillata L. and Eleusine indica (L.) Gaertn. in the experimental field, and for Richardia scabra L. and Eleusine indica (L.) Gaertn. in the anthropized cerrado. The ordinary kriging technique made it possible to map the weed seed bank and, therefore, it may work as an efficient tool in controlling weeds in agricultural fields, especially in its pre-emergence phase. Furthermore, it can assist in the recovery of native anthropized vegetation.

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Multifractal analysis of weeds in a no-tillage system in the Pre-Amazon region

Silva,

Siqueira

2024

Rev. bras. eng. agríc. ambient.

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Weeds have several mechanisms of dispersal and reproduction, resulting high spatial variability. The objective of this study was to assess the scale and spatial heterogeneity of weeds using multifractal analysis in a no-tillage system in the Pre-Amazon region. Sampling was conducted in a commercial soybean (Glycine max) production plot in the Mata Roma, Maranhão, Brazil, comprising 1,071 points marked on a 10 × 10 m grid. Data were analyzed using descriptive statistics and multifractal analysis through the box-counting method. Weeds showed varying degrees of multifractality, resulting in different scales and spatial heterogeneity in the study area. Euphorbia hirta and Turnera subulata exhibited asymmetry of branches to the left in the singularity spectrum, indicating dominance of high measurement values.

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Spatial variability of weeds in an Oxisol under no-tillage system

Cited by 4 publications

References 22 publications

Spatial Variability of Soil Fauna Under Different Land Use and Managements

Spatial Variability of Soil Fauna Under Different Land Use and Managements

Spatial Distribution of Weed Seed Banks in the Agricultural Field and Anthropized Cerrado

Multifractal analysis of weeds in a no-tillage system in the Pre-Amazon region

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