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Using Soil Survey Database to Assess Soil Quality in the Heterogeneous Taihang Mountains, North China
Geng, Shoubao1,2; Shi, Peili1,2; Zong, Ning1; Zhu, Wanrui1,2
2018-10-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume10Issue:10Pages:18
Corresponding AuthorShi, Peili(shipl@igsnrr.ac.cn)
AbstractSoil 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.
Keywordsoil quality index Taihang Mountains soil survey database method comparison controlling factors
DOI10.3390/su10103443
WOS KeywordORGANIC-MATTER QUALITY ; SUSTAINABLE LAND MANAGEMENT ; PRODUCTION SYSTEMS ; SUBTROPICAL CHINA ; REGRESSION TREES ; WATER CONTENT ; CATCHMENT ; INDICATOR ; INDIA ; ENVIRONMENT
Indexed BySCI
Language英语
Funding ProjectNational Key Project for Basic Research of China[2015CB452705]
Funding OrganizationNational Key Project for Basic Research of China
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Environmental Sciences ; Environmental Studies
WOS IDWOS:000448559400085
PublisherMDPI
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52469
Collection中国科学院地理科学与资源研究所
Corresponding AuthorShi, Peili
Affiliation1.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
Recommended Citation
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.
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