Terrain indices control the quality of soil total carbon stock within water erosion-prone environments

总有机碳 土壤碳 环境科学 二氧化碳 有机质 水文学(农业) 地表径流 土壤水分 农学 土壤科学 化学 环境化学 生态学 地质学 生物 岩土工程 有机化学
作者
Neda Mohseni,Yasin Sayyad Salar
出处
期刊:Ecohydrology and Hydrobiology [Elsevier BV]
卷期号:21 (1): 46-54 被引量:9
标识
DOI:10.1016/j.ecohyd.2020.08.006
摘要

This study aimed the potential of terrain indices to control the relative proportion of soil organic and inorganic carbon contained in soil total carbon stock (STCs) within water erosion-prone environments. Three elevation groups (1,000-1,300 masl, 1,300-1,500 masl, and 1,500-2,000 masl) within a watershed were selected. Terrain indices, which included slope, stream power index (SPI), and topographic wetness index (TWI), were extracted. Furthermore, STCs, soil organic and inorganic C, microbial biomass carbon and nitrogen, and alkaline cations were measured. Despite both organic and inorganic carbon demonstrated a significant increase in the elevation ranges of 1,000-1,300 and 1,300-1,500 masl compared with the range of 1,500-2,000 masl, the SICs/SOCs ratio exhibited the higher rate only at the range of 1000-1300 m. The higher SICs values at 1,000-1,300 masl showed a significant positive relationship with TWI and a negative relationship with SPI and slope. The SICs was significantly positively correlated with alkaline cations in 1,000-1,300 masl, whereas this relationship was significant and negative with SOCs. These findings showed that decreased SPI values and, consequently, decreasing the erosive power of surface runoff stimulated the higher concentration of the fine particle on 1,000-1,300 masl. The fine particles accumulated on these positions together with the carbon dioxide generated by microbial respiration bond with alkaline cations to create carbonate production. These findings show the importance of terrain attributes not only in variation of the soil organic C but also in the creation of mineral forms of carbon, causing variation in the quality of STCs within different watershed positions.

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
刚刚
鱼鱼鱼完成签到,获得积分10
刚刚
刚刚
刚刚
CipherSage应助xiaoyu采纳,获得10
刚刚
Orange应助啦啦啦啦啦采纳,获得10
1秒前
科研通AI6.2应助zzz421588采纳,获得10
1秒前
sunlt发布了新的文献求助10
1秒前
2秒前
huibzh发布了新的文献求助10
2秒前
qkm123发布了新的文献求助10
3秒前
雁塔吃辣条完成签到,获得积分10
3秒前
顾矜应助jsl采纳,获得10
4秒前
ZY发布了新的文献求助20
4秒前
yyyyy应助香菜炒小面包采纳,获得30
5秒前
十里八乡发布了新的文献求助10
6秒前
科研通AI6.1应助zzz421588采纳,获得30
7秒前
科研通AI6.2应助king采纳,获得10
7秒前
7秒前
jqw完成签到,获得积分10
8秒前
深情安青应助win采纳,获得10
8秒前
9秒前
9秒前
规划发布了新的文献求助10
9秒前
完美元完成签到,获得积分10
9秒前
小仙女完成签到,获得积分10
10秒前
棉花关注了科研通微信公众号
10秒前
11秒前
山上完成签到,获得积分10
11秒前
搬砖的发布了新的文献求助10
12秒前
12秒前
12秒前
跳跃豆芽完成签到 ,获得积分10
12秒前
鲤鱼诗桃发布了新的文献求助10
12秒前
量子星尘发布了新的文献求助10
13秒前
14秒前
勤qin完成签到 ,获得积分10
15秒前
15秒前
15秒前
15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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6060555
求助须知:如何正确求助?哪些是违规求助? 7893011
关于积分的说明 16304041
捐赠科研通 5204631
什么是DOI,文献DOI怎么找? 2784484
邀请新用户注册赠送积分活动 1767031
关于科研通互助平台的介绍 1647334