scholarly journals Spatial variability of carbon and nitrogen stocks in integrated management systems and pasture in a cerrado region

2020 ◽  
Vol 9 (11) ◽  
pp. e67291110220
Author(s):  
Renato Falconeres Vogado ◽  
Henrique Antunes de Souza ◽  
Sammy Sidney Rocha Matias ◽  
Adriano Veniciús Santana Gualberto ◽  
João Rodrigues da Cunha ◽  
...  

The conversion of the native Cerrado into agricultural systems promotes a reduction in the input of organic residues on the soil, which can compromise the contents of soil organic carbon. The spatial distribution of carbon and nitrogen stocks in the soil is normally influenced by environmental and anthropogenic factors. This research aimed to map and evaluate the spatial variability of carbon and nitrogen stocks in the soil, in different integrated systems and pasture areas in the edaphoclimatic conditions of the Cerrado biome, in the state of Maranhão. The work was set up in a Red-Yellow Latosol with different management methods: crop-livestock integration with no-till farming, crop-livestock integration with patch scarification and harrowing, crop-livestock-forest integration, and pasture. The samples were removed at a depth of 0.0-0.20 m, in a grid with a regular interval of 50 m, totaling 193 points. The data were subjected to descriptive statistics, geostatistics, and kriging interpolation. The mean and median values are similar for the carbon and nitrogen stocks, in their respective management systems, indicating symmetric data distribution, confirmed by the asymmetry and kurtosis values close to zero. The spatial distribution of the carbon stocks is more homogeneous in the crop-livestock integration with no-till farming, whereas the crop-livestock integration with patch scarification and harrowing presents greater homogeneity in nitrogen distribution.

2018 ◽  
Vol 64 (1-4) ◽  
pp. 25-34
Author(s):  
Yong-hua Zhu ◽  
Sheng Zhang ◽  
Biao Sun ◽  
Xiao-kang Xi ◽  
Yu Liu ◽  
...  

Quantification of the pattern and spatial distribution of soil organic carbon (SOC) is essential to comprehending many eco-hydrological processes. To obtain a better understanding of the spatial variability of SOC in a typical farming-pastoral zone, 270 soil samples were collected at 45 sampling sites from every 20 cm soil layer. Semi-variance function theory and ordinary Kriging interpolation were applied to identify the spatial variability of SOC. The results showed that SOC in the area was relatively low and decreased with depth and from the basin edge to the centre with a measured mean content of 0.07–0.65 g/kg. The strongest variability in the zone in the top soil layer (0–40 cm) was in the centre part of the zone, which was supposed to be the most concentrated area of human activities in the zone. As soil depth increase, the degree of variation of SOC decreased. Gaussian, exponential, and spherical models were suggested to successfully simulate SOC in different soil depth zones. The spatial distribution of SOC showed strong variability in the same soil depth zone, with a nugget to sill ratio of less than 14% and a range of 30–160 km.


2011 ◽  
Vol 117 ◽  
pp. 28-33 ◽  
Author(s):  
Silvano L. Abreu ◽  
Chad B. Godsey ◽  
Jeffrey T. Edwards ◽  
Jason G. Warren

2009 ◽  
Vol 103 (2) ◽  
pp. 442-450 ◽  
Author(s):  
Robélio Leandro Marchão ◽  
Thierry Becquer ◽  
Didier Brunet ◽  
Luiz Carlos Balbino ◽  
Lourival Vilela ◽  
...  

2018 ◽  
Vol 29 (10) ◽  
pp. 3405-3412 ◽  
Author(s):  
Leticia Helena Campos Souza ◽  
Eduardo da Silva Matos ◽  
Ciro Augusto de Souza Magalhães ◽  
Élio R. de la Torre ◽  
Fernando Mendes Lamas ◽  
...  

2005 ◽  
Vol 268 (1) ◽  
pp. 319-328 ◽  
Author(s):  
Jeferson Diekow ◽  
João Mielniczuk ◽  
Heike Knicker ◽  
Cimélio Bayer ◽  
Deborah P. Dick ◽  
...  

2013 ◽  
Vol 77 (6) ◽  
pp. 2094-2110 ◽  
Author(s):  
João Carlos de Moraes Sá ◽  
Josiane Bürkner dos Santos ◽  
Rattan Lal ◽  
Anibal de Moraes ◽  
Florent Tivet ◽  
...  

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