Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.geoderma.2009.10.018
DC FieldValue
dc.titleResponse of soil organic carbon spatial variability to the expansion of scale in the uplands of Northeast China
dc.contributor.authorWang, D.D.
dc.contributor.authorShi, X.Z.
dc.contributor.authorWang, H.J.
dc.contributor.authorYu, D.S.
dc.contributor.authorSun, W.X.
dc.contributor.authorZhao, Y.C.
dc.contributor.authorLu, X.X.
dc.date.accessioned2011-02-23T06:11:08Z
dc.date.available2011-02-23T06:11:08Z
dc.date.issued2010
dc.identifier.citationWang, D.D., Shi, X.Z., Wang, H.J., Yu, D.S., Sun, W.X., Zhao, Y.C., Lu, X.X. (2010). Response of soil organic carbon spatial variability to the expansion of scale in the uplands of Northeast China. Geoderma 154 (3-4) : 302-310. ScholarBank@NUS Repository. https://doi.org/10.1016/j.geoderma.2009.10.018
dc.identifier.issn00167061
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/19641
dc.description.abstractSoil organic carbon (SOC) plays an important role in maintaining and improving soil fertility and quality as well as mitigating climate change. Understanding SOC density spatial variability is fundamental for describing soil resources and predicting SOC. Three categories were used to create spatial scales: administrative category (county, city, province and region scale), soil taxonomic category (family, sub-group, great group and order scale) and soil type (zonal soil and azonal soil)-administrative category. Soil organic carbon density variability and its response to the expansion of scales in the topsoil (0-20 cm) and soil profile (a depth of 1 m) layers in the uplands of Northeast China were examined based on coefficient of variation (CV) values using data of 1041 profiles obtained from the Second National Soil Survey of China. The results depicted that SOC density variability increased not only in the topsoil layer but also in the soil profile layer with the expansion of scales in all categories. In the administrative category, there was a strong logarithmic relationship between upland areas or administrative areas and mean SOC density CV. Though mean SOC density CV within each soil order increased from family to order, the trend and range of increase varied greatly. Soil organic carbon density variability for zonal and azonal soils was similar in terms of trends but different in terms of rate with increasing scale from county to region. A strong logarithmic relationship between upland area and mean SOC density CV was also observed. These relationships indicated that reducing upland area by five orders of magnitude would halve the CV. Therefore, when estimating the SOC pool in uplands, both administrative and soil type scales should be considered in the sampling design, especially for azonal soil. © 2009 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.geoderma.2009.10.018
dc.sourceScopus
dc.subjectCategory
dc.subjectCV (coefficient of variation)
dc.subjectScale
dc.subjectSOC density
dc.subjectUpland
dc.subjectVariability
dc.typeArticle
dc.contributor.departmentGEOGRAPHY
dc.description.doi10.1016/j.geoderma.2009.10.018
dc.description.sourcetitleGeoderma
dc.description.volume154
dc.description.issue3-4
dc.description.page302-310
dc.description.codenGEDMA
dc.identifier.isiut000275009400017
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

19
checked on Sep 24, 2022

WEB OF SCIENCETM
Citations

14
checked on Sep 16, 2022

Page view(s)

307
checked on Sep 22, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.