This data set contains soil organic carbon properties under the impervious surfaces areas (ISA) and Pervious Surface Area (PSA) of 41 cities in China. Field samplings were conducted during 2013-2014. The observed soil attribute elements include BD(bulk density), SOCC(soil organic carbon content), SOCD(soil organic carbon density), EC(electrical conductivity),et al.
| 采集时间 | 2013/01/01 - 2014/12/31 |
|---|---|
| 采集地点 | mainland China |
| 数据量 | 119.6 KiB |
| 数据格式 | excel |
Nation-wide soil sampling was conducted in 41 cities that were evenly distributed across China during 2013–2014 . The selected cities were either provincial capitals or representative cities at the regional scale. They covered all major climate regimes, vegetation types and soil types in China, except for the Tibet Plateau. Soil samples were taken from multiple sites in each city. To guaranty that the sampling sites in a city were evenly distributed, each sample site belonged to a different city district. In addition, observations from previous studies in the Chendu city and Yixin city were compiled and added to this dataset.
The sampled ISA types included pavements, highways, patios, driveways, parking lots etc. Field surveys and remote sensing analysis have confirmed that the sealing of impervious soils and the land cover/vegetation types (trees, shrubs, lawns, bare land, vegetable fields ect) of the adjacent pervious surface area (PSA) have been stable for over ten years at the sampling sites (detailed information of the sampling sites are found in the data file). At each site, three representative sampling plots, at least 10 m apart from each other, were set up under the ISA with three paired sampling plots in an adjacent PSA for comparison. A 100 cm depth profile pit was dug in each plot. Using 100 cm3 sample rings, soil profiles in the pits were sampled at 20 cm intervals to 100 cm depth. Technosols were thought to contain large amount of artefacts such as bricks, glass, etc. (FOA, 2015; Lorenz & Lal, 2009). However, our study across China found that most of the Ekranic (sealed) Technosols profiles has a clear boundary between the building material layers and the soil. These soils didn’t have extraordinary large amount of artefacts mixed in. Where the boundary is unclear, we treated the surface layers with large amount of hard building materials, where artefacts > 0.15 mm accounted for over half of the soil weight or volume, as the building material layers and only sampled the soils below them. Samples with notable additions of anthropogenic artefacts mixed in the soil were discarded, because we were unsure if they represented the building materials or the soils. These samples (ID# XJBIZC0001-XJBIZC4356) are currently stored in the Herbarium of the Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China. We measured the soil bulk density (BD) and SOC content in each soil sample and then calculated the SOC density by multiplying them together. All samples were air-dried, grounded and sieved at 0.15 mm. BD was measured using the volumetric ring method. To match the methodology of the Second China’s National Soil Surveys that provided information of the background SOC density, the SOC content was measured using the Mebius method involving Walkley-Black acid digestion. SOC density was calculated according to dry BD (g cm-3) and SOC content based on a soil depth of 20 cm. For each soil layer, the SOC densities of the three sampling plots in a site were averaged to derive the site-level mean SOC density.
The data quality is good.
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CC BY 4.0 (知识共享 署名 4.0 国际许可协议)进行许可。
| # | 标题 | 文件大小 |
|---|---|---|
| 1 | observations of soil organic carbon density under impervious surfaces of China.xlsx | 119.6 KiB |
| # | 时间 | 姓名 | 用途 |
|---|---|---|---|
| 1 | 2026/09/10 04:20 | 耿*瑶 |
论文类型:期刊论文。论文题目尚在拟定,研究主题为新疆土地利用转型及其碳储量变化。研究摘要:基于多期土地利用数据识别土地类型转换,结合有明确碳库定义、土层深度和适用范围的碳密度参数,估算土地转换对应的碳储量变化,并比较参数来源对结果的影响。申请本数据集用于核实新疆及相关干旱区城市不透水面下土壤有机碳的实测依据,提取0—20 cm土层记录,核对土壤容重、有机碳含量、碳密度及采样信息,评估其作为论文参数的适用性。使用数据时将按平台要求注明来源并引用数据集及相关论文。
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| 2 | 2026/08/09 23:48 | 吴* |
为开展三峡库区库岸滑坡变形机理相关科研工作,2007‑2012 年秭归县白水河滑坡监测数据能够反映水位波动、降雨条件下滑坡位移演化规律;依托该实测资料可探究水库调度诱发滑坡阶段性变形的响应特征,完善涉水滑坡预警判别依据,充实库区地质灾害研究样本,因此申请获取该套监测数据用于项目研究。
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| 3 | 2026/03/16 19:46 | 何*乐 |
论文题目:Spatiotemporal evolution of shorelines in Shenzhen Bay (1986–2020): contrasting impacts of rapid urbanization in Shenzhen and natural processes in Hong Kong
数据在研究中的作用:原始数据输入
论文类型:研究论文
导师姓名:黄奕龙
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| 4 | 2025/12/18 00:38 | Jia*****ang |
论文题目:土地利用变化背景下中国土壤有机碳的时空动态响应与固碳潜力评估
数据在研究中的作用:补充中国土壤有机碳数据集
论文类型:毕业论文
导师姓名:陈奕云
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| 5 | 2024/11/06 06:44 | 洪*鹏 |
学生学习锻炼数据收集 分析处理的能力, 获取新疆地区多源数据
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| 6 | 2024/10/17 04:51 | 许*瑾 |
我们希望借助您的数据进一步量化我国当前土壤碳汇及影响因素。
我们声明,在使用数据时,一定会严格按照要求注引用。谢谢!
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| 7 | 2024/10/14 18:27 | 刘*晖 |
收集全球地表硬化下的数据,会在论文中披露数据集的来源。
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| 8 | 2024/05/25 00:45 | 王* |
Paper title:耦合PLUS-InVEST模型的黄河流域碳储量时空演变及多情景预测
Paper abstract:目前我国正处于城市化快速发展阶段,黄河流域城市群作为我国社会经济发展的重要区域,却因流域生态环境脆弱,长期处于高负载状态。因此,对黄河流域碳储量进行预测和合理规划,对其可持续发展至关重要。本研究基于PLUS模型以黄河流域为研究对象,运用该区域2000-2020年的LUCC(Land use and cover change)数据,分析了研究区域内土地利用的时空变化格局,耦合InVEST模型估算了在不同情景下2050年黄河流域碳储量的空间分布格局。结果表明:(1)2000—2020年,黄河流域土地利用变化主要表现为耕地和未利用地面积减少,林地、草地、水域和建设用地面积增加。(2)在五种不同的发展情景下,2050年黄金情景更充分地利用了未利用地和草地面积,同时抑制了建设用地的扩张,总体上有利于生态用地的发展。(3)2050年黄河流域的碳储量分布为,位于东南山区的林地碳密度较大,而位于研究区西北方的未利用地和水域的碳密度最小。在五种发展情景中,黄金情景下2050年碳储量相较于2020年增加量最大,增加了5.69×107 t。
Paper type:期刊论文
Tutor:艳燕
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| 9 | 2023/07/07 23:22 | 夏*波 |
用于研究沙漠冻土的研究区分布划分,将冻土在沙漠当中的分布做出一个分类
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| 10 | 2023/07/04 07:01 | 董* |
计算有机碳,看有机碳的时空变化,是什么因素引起
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Impervious Surface Area Pervious Surface Area bulk density soil organic carbon content soil organic carbon density electrical conductivity
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