Spatial Distribution and Reserves Estimation of Soil Organic Carbon Based on GIS in Maiji Area of Tianshui

2013 ◽  
Vol 316-317 ◽  
pp. 299-306
Author(s):  
Ai Hong Gai ◽  
Ren Zhi Zhang ◽  
Fang Chen ◽  
Xiao Long Wang

The soil organic carbon density and storage of Maiji Area of Tianshui was estmiated, using the data of 6060 soil profile from the second soil survey of China and formulating fertilization for soil conditions in 2008. Integrating the soil map, land use status map and district map of Maiji Area of Tianshui, the index of the characteristic of soil organic distribution in different soil and soil layers were analyzed. Results showed: the soil of Maiji area have low average density, when soil secondary census, depths of 5cm,20cm,1m average density of organic carbon are 0.92kg•m-2,3.31kg•m-2,7.79kg•m-2 respectively, average density of organic carbon at depth of 20cm is 2.43 kg•m-2 in 2008 years, As a standard of Yu Dongsheng’s (2005) estimation of average density of 9.60 kg•m-2 in the depth of 1m all over the China, Maiji area 1m deep soil organic carbon density is lower 1.91kg•m-2 than the average density of whole country; The calculation of the secondary survey, reserves of organic carbon in surface soil (0-5cm) is about 4.83×106t, reserves of organic carbon in fall (0-20cm) is about 12.46×106t, reserves of soil organic carbon in 1m depth is about 45.17×106t, reserves of soil organic carbon in fall (0-20cm) is about 18.55×106t in 2008 years. In a word, the soil organic carbon storage was relatively indigent in Maiji Area of Tianshui.

2012 ◽  
pp. 113-128 ◽  
Author(s):  
Ratko Kadovic ◽  
Snezana Belanovic ◽  
Dragica Obratov-Petkovic ◽  
Ivana Bjedov ◽  
Veljko Perovic ◽  
...  

Soil organic C storage in mountain areas is highly heterogeneous, mainly as a result of local-scale variability in the soil environment and microclimate. The aims of the present study were to estimate soil organic carbon density (SOCD) and stocks in leptosol on morainic deposits of high-altitude grasslands of the Lake Plateau of Mt. Durmitor National Park in Montenegro, and determine the soil variables that can be used as factors to determine the SOCD at 28 soil profiles. Our results indicated that SOC storage in the top 40 cm of the alpine grasslands were estimated at 560 414.86 t C, or 152.66 t?ha-1, with an average density of 15.27 kg?m-2. The soil organic carbon density increased significantly with soil moisture, clay and silt content, but only moderately with mean annual temperature. In conjunction, these variables could explain approximately 51% of the total variation in SOC density.


2014 ◽  
Vol 1010-1012 ◽  
pp. 1194-1197
Author(s):  
Qiu Gen Zhang ◽  
Shi Fen Wang ◽  
Jing Yi Wu ◽  
Su Hua Chen

Organic carbon of forest ecosystems is an essential part of the global organic carbon, which plays a dominate role in forest soil organic carbon research. It was estimated that the forest soil organic carbon density, carbon storage and its abundance index of 11 cities in Jiangxi province according to soil survey data for the second time and forest resources survey data in Jiangxi province during 11th five-year plan. Results showed that organic carbon storage of forest soil in 0-20cm and 0-100cm in Jiangxi province was 401.04×106t and 1025.73×106t respectively, in which yellow soil organic carbon density was higher than that of the red soil. Soil organic carbon storage in forest ecosystems was consistent in 0-20cm and 0-100cm of forest soil in eleven cities of Jiangxi province, among them Ganzhou was the highest in Ra20 while Yichun was the lowest one. In addition, it was inconsistent in the abundance index trend of forest soil organic carbon storages, Shangrao was the highest in Ra20, Yichun was the highest in Ra100, while Nanchang was the lowest one both in Ra20 and Ra100. It was the inverse relationship between total GDP and forest soil organic carbon storage..


2020 ◽  
Vol 31 (16) ◽  
pp. 2461-2474
Author(s):  
Liangxia Duan ◽  
Zhenwei Li ◽  
Hongxia Xie ◽  
Hong Yuan ◽  
Zhiming Li ◽  
...  

2020 ◽  
Vol 12 (13) ◽  
pp. 5384
Author(s):  
Min Tang ◽  
Shihang Wang ◽  
Mingsong Zhao ◽  
Falyu Qin ◽  
Xiaoyu Liu

The changes in cultivated soil organic carbon (SOC) have significant effects on soil fertility and atmospheric carbon dioxide (CO2) concentration. Shandong Province is an important agricultural and grain production area in China. Dry farmland accounts for 74.15% of the province’s area, so studies on dynamic SOC changes would be helpful to understand its contribution to the Chinese national carbon (C) inventory. Using the spatial overlay analysis of the soil layer (1:10,000,000) and the land use layer (1:10,000,000), 2329 dry farmland soil polygons were obtained to drive the CENTURY model to simulate SOC dynamics in Shandong Province from the period 1980 to 2016. The results showed that the CENTURY model can be used to simulate the dry farmland SOC in Shandong Province. From the period 1980 to 2016, the soil organic carbon storage (SOCS) and soil organic carbon density (SOCD) showed an initial increase and then decreased, especially after reaching a maximum in 2009. In 2016, the SOCS was 290.58 × 106 t, an increase of 26.99 × 106 t compared with 1980. SOCD in the dry farmland increased from 23.69 t C ha−1 in 1980 to 25.94 t C ha−1 in 2016. The dry farmland of Shandong Province was a C sink from 1980 to 2016. Among the four soil orders, inceptisols SOCD dominated, and accounted for 47.81% of the dry farmland, followed by >entisols > vertisols > alfisols. Entisols SOCD growth rate was the highest (0.23 t C ha−1year−1). Compared to 1980, SOCD in 2016 showed an increasing trend in the northeast, northwest and southeast regions, while it followed a downward trend in the southwest.


CATENA ◽  
2021 ◽  
Vol 196 ◽  
pp. 104950
Author(s):  
Ji Yuan ◽  
Yu Zhang ◽  
Chengming You ◽  
Rui Cao ◽  
Bo Tan ◽  
...  

2015 ◽  
Vol 62 (3) ◽  
pp. 375-393 ◽  
Author(s):  
Samereh Falahatkar ◽  
Seyed Mohsen Hosseini ◽  
Shamsollah Ayoubi ◽  
Abdolrassoul Salmanmahiny

2015 ◽  
Vol 35 (9) ◽  
Author(s):  
薛志婧 XUE Zhijing ◽  
马露莎 MA Lusha ◽  
安韶山 AN Shaoshan ◽  
王万忠 WANG Wanzhong

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