Using Soil Survey Database to Assess Soil Quality in the Heterogeneous Taihang Mountains, North China
文献类型：期刊论文
| 作者 | Geng, Shoubao1,2; Shi, Peili1,2 ; Zong, Ning1; Zhu, Wanrui1,2
|
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2018-10-01 |
| 卷号 | 10期号:10页码:18 |
| ISSN号 | 2071-1050 |
| 关键词 | soil quality index Taihang Mountains soil survey database method comparison controlling factors |
| DOI | 10.3390/su10103443 |
| 通讯作者 | Shi, Peili(shipl@igsnrr.ac.cn) |
| 英文摘要 | Soil quality evaluation is an effective pathway to understanding the status of soil function and ecosystem productivity. Numerous studies have been made in managed ecosystems and land cover to quantify its effects on soil quality. However, little is coincident regarding soil quality assessment methods and its compatibility in highly heterogeneous soil. This paper used the soil survey database of Taihang Mountains as a case study to: (i) Examine the feasibility of soil quality evaluation with two different indicator methods: Total data set (TDS) and minimum data set (MDS); and (ii) analyze the controlling factors of regional soil quality. Principal component analysis (PCA) and the entropy method were used to calculate soil quality index (SQI). SQI values assessed from the TDS and MDS methods were both significantly correlated with normalized difference vegetation index (p < 0.001), suggesting that both indices were effective to describe soil quality and reflect vegetation growth status. However, the TDS method represented a slightly more accurate assessment than MDS in terms of variance explanation. Boosted regression trees (BRT) models and path analysis showed that soil type and land cover were the most important controlling factors of soil quality, within which soil type had the greatest direct effect and land cover had the most indirect effect. Compared to MDS, TDS is a more sensitive method for assessing regional soil quality, especially in heterogeneous mountains. Soil type is the fundamental factor to determining soil quality. Vegetation and land cover indirectly modulate soil properties and soil quality. |
| WOS关键词 | ORGANIC-MATTER QUALITY ; SUSTAINABLE LAND MANAGEMENT ; PRODUCTION SYSTEMS ; SUBTROPICAL CHINA ; REGRESSION TREES ; WATER CONTENT ; CATCHMENT ; INDICATOR ; INDIA ; ENVIRONMENT |
| 资助项目 | National Key Project for Basic Research of China[2015CB452705] |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000448559400085 |
| 资助机构 | National Key Project for Basic Research of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/52468]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Shi, Peili |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Geng, Shoubao,Shi, Peili,Zong, Ning,et al. Using Soil Survey Database to Assess Soil Quality in the Heterogeneous Taihang Mountains, North China[J]. SUSTAINABILITY,2018,10(10):18. |
| APA | Geng, Shoubao,Shi, Peili,Zong, Ning,&Zhu, Wanrui.(2018).Using Soil Survey Database to Assess Soil Quality in the Heterogeneous Taihang Mountains, North China.SUSTAINABILITY,10(10),18. |
| MLA | Geng, Shoubao,et al."Using Soil Survey Database to Assess Soil Quality in the Heterogeneous Taihang Mountains, North China".SUSTAINABILITY 10.10(2018):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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