Vulnerability and driving factors of soil inorganic carbon stocks in Chinese croplands

环境科学 土壤碳 农学 土壤肥力 耕地 干旱 肥料 降水 碳循环 土壤水分 生态系统 农业 土壤科学 地理 生态学 生物 气象学 考古
作者
Jingjing Tao,Sajjad Raza,Mengzhen Zhao,Jiaojiao Cui,Peizhou Wang,Yueyu Sui,Kazem Zamanian,Yakov Kuzyakov,Minggang Xu,Zhujun Chen,Jianbin Zhou
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:825: 154087-154087 被引量:29
标识
DOI:10.1016/j.scitotenv.2022.154087
摘要

The long-term stability of soil inorganic carbon (SIC) and its minimum contribution towards global C cycle has been challenged, as recent studies have showed rapid decreases in SIC stocks in intensive agricultural systems. However, the extent of SIC losses and its driving factors remains unclear. Here, we compared changes in SIC density (SICD) in Chinese croplands between the 1980s and 2010s. The SIC contents in 1980s were obtained from second national soil survey (n = 949) and published studies (n = 47). The SIC contents in 2010s were based on resampling of soil profiles from the same locations during 2019 and 2020 (n = 30), as well as data from published studies and national soil survey (n = 903). We found that Chinese croplands have lost 27-38% of SICD from the 0-40 cm soil layer and that the soil pH has decreased by 0.53 units over the past 30 years. These SIC losses increased with the ratio of precipitation (P) to potential evapotranspiration (PET) and most notably with nitrogen (N) fertilization. The SICD decreased greatly in humid and semiarid regions, and these losses were enhanced by high N fertilization rates; however, the SICD increased in very arid regions. This analysis demonstrates that the water balance and N fertilization are major drivers leading to dramatic losses of SICD in croplands and, consequently, to decreases in soil fertility and functions.
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

祝大家在新的一年里科研腾飞
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
驰驰发布了新的文献求助10
1秒前
1秒前
sober发布了新的文献求助30
2秒前
2秒前
晴天完成签到 ,获得积分10
2秒前
Akim应助三石采纳,获得10
3秒前
大个应助桃铁采纳,获得30
3秒前
4秒前
木木发布了新的文献求助10
5秒前
6秒前
6秒前
深情的代秋完成签到,获得积分10
7秒前
彭于晏应助西西采纳,获得10
7秒前
7秒前
遇见飞儿发布了新的文献求助10
7秒前
怕黑行恶完成签到,获得积分10
7秒前
满意的慕凝完成签到,获得积分10
8秒前
yyg发布了新的文献求助10
9秒前
24完成签到,获得积分10
10秒前
10秒前
11秒前
11秒前
11秒前
12秒前
fin完成签到 ,获得积分10
13秒前
汉堡包应助zzx采纳,获得10
14秒前
jing216发布了新的文献求助10
14秒前
Maple0808完成签到 ,获得积分10
15秒前
15秒前
lijf2024发布了新的文献求助10
15秒前
16秒前
16秒前
完美世界应助深情的代秋采纳,获得10
16秒前
土豆豆角完成签到 ,获得积分10
17秒前
小橙子完成签到,获得积分20
18秒前
海孩子发布了新的文献求助20
18秒前
Scherbatsky完成签到,获得积分10
18秒前
19秒前
19秒前
wangyr11发布了新的文献求助10
20秒前
高分求助中
Востребованный временем 2500
Les Mantodea de Guyane 1000
Very-high-order BVD Schemes Using β-variable THINC Method 970
Field Guide to Insects of South Africa 660
Foucault's Technologies Another Way of Cutting Reality 500
Forensic Chemistry 400
Toward personalized care for insomnia in the US Army: a machine learning model to predict response to cognitive behavioral therapy for insomnia 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3392384
求助须知:如何正确求助?哪些是违规求助? 3003056
关于积分的说明 8807166
捐赠科研通 2689817
什么是DOI,文献DOI怎么找? 1473309
科研通“疑难数据库(出版商)”最低求助积分说明 681513
邀请新用户注册赠送积分活动 674348