Aggregate pore and shape properties were more strongly correlated to soil organic carbon in large aggregates: Evidence from a long-term management-induced soil carbon gradient

土壤碳 碳纤维 土壤科学 期限(时间) 环境科学 骨料(复合) 总有机碳 化学 环境化学 土壤水分 材料科学 复合材料 量子力学 复合数 物理
作者
Weijun Zhang,Lars Juhl Munkholm,Richard J. Heck,C. W. Watts,Johannes Lund Jensen
出处
期刊:Geoderma [Elsevier BV]
卷期号:459: 117357-117357 被引量:10
标识
DOI:10.1016/j.geoderma.2025.117357
摘要

The interplay between soil structure and soil organic carbon (SOC) is complex and affects key soil functions. There is limited knowledge on how this relationship changes with the size of the structural unit studied. The objective of this study was to quantify the pore and shape characteristics of soil aggregates of varying sizes, and their relationships with SOC under different soil management regimes. Soils were sampled in March 2015 from the Highfield Ley-Arable Long-Term Experiment at Rothamsted Research. This experiment includes bare fallow, continuous arable rotation, ley-arable rotation, and grass treatments. A total of 24 aggregates from each treatment and size class (2–4, 4–8, and 8–16 mm) were subjected to X-ray micro-CT scanning at 40 μm voxel resolution. Results showed that permanent grass not only increased SOC accumulation, but also promoted pore connectivity of soil aggregates compared to bare fallow, regardless of aggregate size. Additionally, the pore and shape characteristics of larger aggregates (4–8 and 8–16 mm) were more sensitive to soil management compared to smaller aggregates (2–4 mm). The relationships between SOC and aggregate structural characteristics were strong for both 8–16 and 4–8 mm aggregates but weak for 2–4 mm aggregates. Furthermore, the responses of pore connectivity and sphericity to SOC increased with aggregate size. The results suggest that organic matter input plays an essential role in shaping aggregate structural characteristics and aggregate rearrangement (especially in larger aggregates).
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
JIANG完成签到,获得积分10
刚刚
2秒前
充电宝应助呆萌语梦采纳,获得10
2秒前
2秒前
rong发布了新的文献求助10
2秒前
吴兰田发布了新的文献求助20
2秒前
3秒前
DRHSK发布了新的文献求助100
4秒前
4秒前
5秒前
6秒前
8秒前
9秒前
hsy发布了新的文献求助10
9秒前
小芭乐完成签到 ,获得积分10
9秒前
韩莎发布了新的文献求助10
10秒前
youming完成签到,获得积分10
11秒前
契说完成签到 ,获得积分10
11秒前
雩chekrlist发布了新的文献求助10
11秒前
rico发布了新的文献求助10
11秒前
dd99081完成签到,获得积分10
12秒前
12秒前
府中园马发布了新的文献求助10
13秒前
15秒前
在水一方应助府中园马采纳,获得10
17秒前
leon发布了新的文献求助10
17秒前
Hello应助饱满的貔采纳,获得10
17秒前
hhdr完成签到 ,获得积分10
19秒前
某叶完成签到 ,获得积分20
20秒前
20秒前
21秒前
饼干发布了新的文献求助10
22秒前
大局已定完成签到,获得积分10
22秒前
想学完成签到,获得积分10
23秒前
L77完成签到,获得积分0
23秒前
24秒前
24秒前
597完成签到,获得积分10
25秒前
DRHSK发布了新的文献求助10
26秒前
赚钱的君完成签到,获得积分10
27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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7740600
求助须知:如何正确求助?哪些是违规求助? 9289208
关于积分的说明 20194548
捐赠科研通 7318799
什么是DOI,文献DOI怎么找? 3306487
关于科研通互助平台的介绍 2458764
邀请新用户注册赠送积分活动 2316612