Spatial Variability of Soil Organic Carbon and Related Factors in Jiangsu Province, China

土壤碳 土壤水分 淤泥 环境科学 冲积平原 土壤科学 水文学(农业) 总有机碳 土壤类型 土层 空间变异性 自然地理学 地质学 地貌学 地理 生态学 统计 数学 生物 古生物学 岩土工程
作者
Xiaowei Chuai,Xianjin Huang,Wanjing Wang,Mei Zhang,Li Sze Lai,Qilin Liao
出处
期刊:Pedosphere [Elsevier BV]
卷期号:22 (3): 404-414 被引量:68
标识
DOI:10.1016/s1002-0160(12)60026-5
摘要

Soil organic carbon (SOC) plays a key role in the global carbon cycle. In this study, we used statistical and geostatistical methods to characterize and compare the spatial heterogeneity of SOC in soils of Jiangsu Province, China, and investigate the factors that influence it, such as topography, soil type, and land use. Our study was based on 24 186 soil samples obtained from the surface soil layer (0–0.2 m) and covering the entire area of the province. Interpolated values of SOC density in the surface layer, obtained by kriging based on a spherical model, rang ed between 3.25 and 32.43 kg m−3. The highest SOC densities tended to occur in the Taihu Plain, Lixia River Plain, along the Yangtze River, and in high-elevation hilly areas such as those in northern and southwest Jiangsu, while the lowest values were found in the coastal plain. Elevation, slope, soil type, and land use type significantly affected SOC densities. Steeper slope tended to result in SOC decline. Correlation between elevation and SOC densities was positive in the hill areas but negative in the low plain areas, probably due to the effect of different land cover types, temperature, and soil fertility. High SOC densities were usually found in limestone and paddy soils and low densities in coastal saline soils and alluvial soils, indicating that high clay and silt contents in the soils could lead to an increase, and high sand content to a decrease in the accumulation of SOC. SOC densities were sensitive to land use and usually increased in towns, woodland, paddy land, and shallow water areas, which were strongly affected by industrial and human activities, covered with highly productive vegetation, or subject to long-term use of organic fertilizers or flooding conditions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
2秒前
平淡凡双发布了新的文献求助10
3秒前
Ava应助liyi采纳,获得10
3秒前
5秒前
5秒前
6秒前
CHEN完成签到,获得积分10
6秒前
nini应助青柚采纳,获得20
7秒前
9秒前
eazin发布了新的文献求助10
9秒前
pinecone发布了新的文献求助10
9秒前
dopamine完成签到,获得积分10
10秒前
11秒前
11秒前
guyankuan发布了新的文献求助10
12秒前
BoBo发布了新的文献求助10
15秒前
顾矜应助小夕采纳,获得10
15秒前
白晓松完成签到 ,获得积分10
16秒前
18秒前
冷酷的幻天完成签到,获得积分20
19秒前
守拙发布了新的文献求助10
19秒前
领导范儿应助诗瑜采纳,获得10
21秒前
pinecone完成签到,获得积分10
21秒前
科研通AI6.2应助stand采纳,获得10
21秒前
22秒前
bai发布了新的文献求助10
23秒前
FashionBoy应助像风一样自由采纳,获得10
23秒前
23秒前
栖风完成签到,获得积分10
24秒前
李健的粉丝团团长应助KD采纳,获得10
25秒前
26秒前
27秒前
火影忍者发布了新的文献求助10
28秒前
29秒前
30秒前
小羊完成签到 ,获得积分10
30秒前
31秒前
32秒前
淡淡听枫发布了新的文献求助10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6347313
求助须知:如何正确求助?哪些是违规求助? 8162056
关于积分的说明 17168830
捐赠科研通 5403486
什么是DOI,文献DOI怎么找? 2861465
邀请新用户注册赠送积分活动 1839278
关于科研通互助平台的介绍 1688579