scholarly journals Spatial Distribution of Soil Organic Carbon and Total Nitrogen Based on GIS and Geostatistics in a Small Watershed in a Hilly Area of Northern China

PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e83592 ◽  
Author(s):  
Gao Peng ◽  
Wang Bing ◽  
Geng Guangpo ◽  
Zhang Guangcan
2021 ◽  
pp. 1-19
Author(s):  
Yingcong Ye ◽  
Yefeng Jiang ◽  
Lihua Kuang ◽  
Yi Han ◽  
Zhe Xu ◽  
...  

2012 ◽  
Vol 32 (18) ◽  
pp. 5777-5785
Author(s):  
张彦军 ZHANG Yanjun ◽  
郭胜利 GUO Shengli ◽  
南雅芳 NAN Yafang ◽  
李俊超 LI Junchao

2021 ◽  
Vol 120 ◽  
pp. 106930
Author(s):  
Qing Qi ◽  
Dongjie Zhang ◽  
Mingye Zhang ◽  
Shouzheng Tong ◽  
Wuehong Wang ◽  
...  

2020 ◽  
Vol 12 (6) ◽  
pp. 2259
Author(s):  
Yanjiang Zhang ◽  
Qing Zhen ◽  
Pengfei Li ◽  
Yongxing Cui ◽  
Junwei Xin ◽  
...  

Spatial distribution of soil organic carbon (SOC) is important for the development of ecosystem carbon cycle models and assessment of soil quality. In this study, a total of 732 soil samples from 122 soil profiles (0–10, 10–20, 20–40, 40–60, 60–80, and 80–100 cm) were collected by a combination of fixed-point sampling and route surveys in an agro-pastoral ecotone of northern China and the spatial variation of the SOC in the samples was analyzed through classical statistical and geostatistical approaches. The results showed that the SOC contents decreased from 4.31 g/kg in the 0–10 cm to 1.57 g/kg in the 80–100 cm soil layer. The spatial heterogeneity of the SOC exhibited moderate and strong dependence for all the soil layers owing to random and structural factors including soil texture, topography, and human activities. The spatial distributions of the SOC increased gradually from northeast to southwest in the 0–40 cm soil layers, but there was no general trend in deep soil layers and different interpolation methods resulted in the inconsistent spatial distribution of SOC. The storage of SOC was expected to be 25 Tg in the 0–100 cm soil depths for the whole area of 7692 km2. The SOC stocks estimated by two interpolation approaches were very close (25.65 vs. 25.86 Tg), but the inverse distance weighting (IDW) interpolation generated a more detailed map of SOC and with higher determination coefficient (R2); therefore, the IDW was recognized as an appropriate method to investigate the spatial variability of SOC in this region.


PLoS ONE ◽  
2018 ◽  
Vol 13 (5) ◽  
pp. e0197451 ◽  
Author(s):  
Xuyang Wang ◽  
Yuqiang Li ◽  
Yinping Chen ◽  
Jie Lian ◽  
Yongqing Luo ◽  
...  

2014 ◽  
Vol 94 (1) ◽  
pp. 9-20 ◽  
Author(s):  
Yuqiang Li ◽  
Juanjuan Han ◽  
Shaokun Wang ◽  
James Brandle ◽  
Jie Lian ◽  
...  

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 197
Author(s):  
Xiuying Yao ◽  
Dandan Yan ◽  
Jingtai Li ◽  
Yao Liu ◽  
Yufeng Sheng ◽  
...  

The invasion and expansion of Spartina alterniflora in coastal salt marsh wetlands have greatly affected the material cycle of the ecosystem. A total of 372 topsoil samples were collected from 124 sites representing two land-cover types by implementing an unprecedented high sampling density study in the Dafeng Milu National Nature Reserve. Classical statistics and geostatistics were used to quantify soil organic carbon (SOC) and total nitrogen (TN) spatial distribution. Redundancy analysis (RDA) was used to detect correlations between environmental factors, SOC, and TN. The results showed that SOC and TN have moderate variability. The spatial distributions of SOC and TN were similar, and the highest values were observed in the southwest of the study area. In different land cover types, the SOC and TN in the vegetation coverage areas with Spartina alterniflora as the dominant species were significantly higher than those in bare land. RDA showed that TN and aboveground biomass significantly affected the spatial distribution of SOC, while SOC and AGB dominated the spatial distribution of TN.


2020 ◽  
Author(s):  
Tonggang Zha ◽  
Haiyan Yu ◽  
Xiaoxia Zhang ◽  
Yang yu

<p>Understanding the spatial distribution and controlling factors of soil organic carbon (SOC) at different scales is essential for an accurate estimation of soil organic carbon stocks. Furthermore, this understanding is vital for evaluating the impact of soil management on both soil quality and climate change. This study was conducted in a Loess revegetated small watershed and the effects of the topography and vegetation factors on the content and distribution of SOC at different soil depths were evaluated. Soil profiles (0-200 cm; n = 122) were sampled that represent six vegetation types (i.e., natural mixed forests, artificial mixed forests, artificial forests with a single tree species, shrubbery, and grassland) and four topographic factors (i.e., elevation, slope gradient, slope position, and slope aspect). The following results were obtained: (1) The mean SOC of the 200 cm soil profile ranged from 2.34 g kg-1 to 5.70 g kg-1, decreasing with increasing soil depth. (2) The interactions between vegetation type and topography and soil depth significantly impacted SOC (P < 0.05). Significant differences in the SOC content (P < 0.05) were also found for slope gradient, slope position, slope aspect, and elevation for 0-200cm, 0-160cm, 0-120 cm and 0-200 cm, respectively. (3) The relative contribution of topographic factors to the SOC content exceeded that of vegetation type in entire soil profile. Topography was the dominant factor controlling the spatial distribution of SOC in the studied small watershed. Therefore, topographic factors should be considered more than vegetation types for an accurate estimation of SOC storage in a revegetated small watershed. This is particularly important for the complicated topography of the loess-gully region.</p>


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