Literature DB >> 16770504

Spatial variability of soil organic carbon in relation to environmental factors of a typical small watershed in the black soil region, northeast China.

Wei Jian-Bing1, Xiao Du-Ning, Zhang Xing-Yi, Li Xiu-Zhen, Li Xiao-Yu.   

Abstract

A total of 292 soil samples were taken from surface soil (0-20 cm) of a typical small watershed-Tongshuang in the black soil region of Heilongjiang province, northeast China in June 2005 for examining the concentration of soil organic carbon (SOC). Spatial variability of SOC in relation to topography and land use was evaluated using classical statistics, geostatistics and geographic information system (GIS) analyses. The objective of this study was to provide a scientific basis for land management targeting at improving soil quality in this region. Classical statistical analysis results indicated that the variability of SOC was moderate (C (V) = 0.30). Slope position and land use types were discriminating factors for its spatial variability. Geostatistics analyses showed that SOC had a strong spatial autocorrelation, which was mainly induced by structural factors. Mean concentration of SOC in surface soil was 2.27% in this watershed, which was a very low level in the northern black soil region of northeast China. In this small watershed, present soil and water conservation measures played an important role in controlling soil loss. But SOC's restoration was unsatisfactory. Nearly three-quarters of the area had worrisome productivity. How to improve SOC concentration targeting at soil fertility is a pressing need in the future.

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Year:  2006        PMID: 16770504     DOI: 10.1007/s10661-005-9158-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  9 in total

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Authors:  Petteri Muukkonen; Margareeta Häkkinen; Raisa Mäkipää
Journal:  Environ Monit Assess       Date:  2008-10-02       Impact factor: 2.513

Review 2.  Sources of errors and uncertainties in the assessment of forest soil carbon stocks at different scales-review and recommendations.

Authors:  E I Vanguelova; E Bonifacio; B De Vos; M R Hoosbeek; T W Berger; L Vesterdal; K Armolaitis; L Celi; L Dinca; O J Kjønaas; P Pavlenda; J Pumpanen; Ü Püttsepp; B Reidy; P Simončič; B Tobin; M Zhiyanski
Journal:  Environ Monit Assess       Date:  2016-10-21       Impact factor: 2.513

3.  Coupling of remote sensing, field campaign, and mechanistic and empirical modeling to monitor spatiotemporal carbon dynamics of a Mediterranean watershed in a changing regional climate.

Authors:  S Berberoglu; C Donmez; F Evrendilek
Journal:  Environ Monit Assess       Date:  2015-03-14       Impact factor: 2.513

4.  Spatial pattern and heterogeneity of soil organic carbon and nitrogen in sand dunes related to vegetation change and geomorphic position in Horqin Sandy Land, Northern China.

Authors:  X A Zuo; X Y Zhao; H L Zhao; Y R Guo; T H Zhang; J Y Cui
Journal:  Environ Monit Assess       Date:  2009-04-08       Impact factor: 2.513

5.  Predicting climate change effects on surface soil organic carbon of Louisiana, USA.

Authors:  Biao Zhong; Yi Jun Xu
Journal:  Environ Monit Assess       Date:  2014-06-12       Impact factor: 2.513

6.  Spatial Distribution of Stony Desertification and Key Influencing Factors on Different Sampling Scales in Small Karst Watersheds.

Authors:  Zhenming Zhang; Yunchao Zhou; Shijie Wang; Xianfei Huang
Journal:  Int J Environ Res Public Health       Date:  2018-04-13       Impact factor: 3.390

7.  Spatial variability and stocks of soil organic carbon in the Gobi desert of Northwestern China.

Authors:  Pingping Zhang; Ming'an Shao
Journal:  PLoS One       Date:  2014-04-14       Impact factor: 3.240

8.  Variation of Soil Organic Carbon and Its Major Constraints in East Central Asia.

Authors:  Xinqing Lee; Yimin Huang; Daikuan Huang; Lu Hu; Zhaodong Feng; Jianzhong Cheng; Bing Wang; Jian Ni; Tserenpil Shurkhuu
Journal:  PLoS One       Date:  2016-03-02       Impact factor: 3.240

9.  Discrepancies in Karst Soil Organic Carbon in Southwest China for Different Land Use Patterns: A Case Study of Guizhou Province.

Authors:  Zhenming Zhang; Xianfei Huang; Yunchao Zhou; Jiachun Zhang; Xubo Zhang
Journal:  Int J Environ Res Public Health       Date:  2019-10-30       Impact factor: 3.390

  9 in total

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