Sampling designs for soil organic carbon stock assessment of soil profiles

淋溶 软土 横断面 土壤科学 土壤碳 数学 土工试验 采样(信号处理) 土层 抽样设计 环境科学 地质学 土壤水分 物理 人口 人口学 社会学 海洋学 探测器 光学
作者
Yakun Zhang,Alfred E. Hartemink
出处
期刊:Geoderma [Elsevier BV]
卷期号:307: 220-230 被引量:26
标识
DOI:10.1016/j.geoderma.2017.08.013
摘要

We investigated four sampling designs for soil organic carbon (SOC) stock assessment of soil profiles: (i) sampling by horizons, (ii) vertical transect sampling, (iii) depth-based stratified random sampling, (iv) fuzzy c-means sampling in which we explored the use of vis-NIR spectroscopy, image analysis and color models. An Alfisol and Mollisol profile wall (1 × 1 m) was divided into a 10 × 10 cm raster and 100 samples (about 200 g each) were collected at the centers of grid cells for SOC analysis. Bulk density samples were collected from each 10-cm depth interval along a single vertical transect and the SOC stock was calculated using 100 points in the profile wall. Horizon-based sampling for the Mollisol (5 horizons) ranged from 231 to 262 Mg C ha− 1, whereas it ranged from 69 to 99 Mg C ha− 1 in the Alfisol (3 horizons). The SOC stocks obtained by 1 to 7 vertical transects ranged from 68 to 81 Mg C ha− 1 in the Alfisol, and 239 to 246 Mg C ha− 1 in the Mollisol. Depth-based stratified random sampling resulted in the SOC stocks ranging from 77 to 82 Mg C ha− 1 in the Alfisol and 234 to 257 Mg C ha− 1 in the Mollisol, and the standard errors decreased with increasing sample size from 10 to 70. Fuzzy c-means clustering created clusters similar to the field delineated horizons. A sample size of 7 in both profiles was sufficient to estimate the mean profile SOC stock by fuzzy c-means sampling. The CIE L*a*b* color model resulted in more accurate estimation in the Alfisol, but the vis-NIR spectra resulted in more accurate estimation in the Mollisol. Soil depth improved the performance of vis-NIR spectra. It is concluded that in these soils, at least two or three vertical transects are required to capture the horizontal variation for estimating profile SOC stock. Depth-wise stratified random sampling reduces the number of samples and is suitable when horizontal variation is high. Fuzzy c-means sampling is useful to determine the minimum sample size for profile SOC stock assessment but requires ancillary data and processing before sampling the soil profile.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
浮游应助科研通管家采纳,获得10
刚刚
Miku应助科研通管家采纳,获得10
刚刚
科研通AI6应助科研通管家采纳,获得10
刚刚
Orange应助科研通管家采纳,获得10
刚刚
彭于晏应助科研通管家采纳,获得10
刚刚
丘比特应助科研通管家采纳,获得10
刚刚
斯文败类应助科研通管家采纳,获得10
刚刚
共享精神应助科研通管家采纳,获得10
刚刚
zj发布了新的文献求助10
刚刚
爆米花应助科研通管家采纳,获得10
刚刚
刚刚
刚刚
慕青应助科研通管家采纳,获得10
1秒前
科目三应助科研通管家采纳,获得10
1秒前
迷路达发布了新的文献求助10
1秒前
所所应助科研通管家采纳,获得10
1秒前
领导范儿应助科研通管家采纳,获得10
1秒前
思源应助科研通管家采纳,获得10
1秒前
科研通AI5应助科研通管家采纳,获得10
1秒前
传奇3应助科研通管家采纳,获得10
1秒前
科研通AI6应助科研通管家采纳,获得10
1秒前
1秒前
115566应助科研通管家采纳,获得500
2秒前
深情安青应助科研通管家采纳,获得10
2秒前
Miku应助科研通管家采纳,获得10
2秒前
华仔应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
忌辛辣发布了新的文献求助10
2秒前
小马甲应助wzt采纳,获得10
2秒前
2秒前
3秒前
周城发布了新的文献求助10
3秒前
哈哈哈完成签到,获得积分10
4秒前
Orange应助Chenzhs采纳,获得30
4秒前
mx发布了新的文献求助10
4秒前
wms发布了新的文献求助10
5秒前
吴吴完成签到 ,获得积分10
6秒前
Hzhe发布了新的文献求助10
7秒前
2233酒完成签到,获得积分10
7秒前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(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
LRZ Gitlab附件(3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data 附件) 2000
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
Handbook of Social and Emotional Learning 800
The Social Work Ethics Casebook(2nd,Frederic G. R) 600
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 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5132185
求助须知:如何正确求助?哪些是违规求助? 4333666
关于积分的说明 13501674
捐赠科研通 4170698
什么是DOI,文献DOI怎么找? 2286593
邀请新用户注册赠送积分活动 1287479
关于科研通互助平台的介绍 1228414