(Article of periodic en Anglais - 2013)

Document title

Estimating the spatial distribution of organic carbon density for the soils of Ohio, USA

Authors(s) and Affiliation(s)

KUMAR S. (1) ; LAL R. (2) ; LIU D. (3) ; RAFIQ R. (4) ;
(1) Dep. of Plant Science, South Dakota State Univ., Brookings, ETATS-UNIS
(2) Carbon Management and Sequestration Center, School of Environment and Natural Resources, Ohio State Univ., Columbus, ETATS-UNIS
(3) Dept. of Geography and Dept. of Statistics, Ohio State Univ., Columbus, ETATS-UNIS
(4) Dep. of Microbiology & Plant Biology, Univ. of Oklahoma, Norman, ETATS-UNIS


Historical database of National Soil Survey Center containing 1424 geo-referenced soil profiles was used in this study for estimating the organic carbon (SOC) for the soils of Ohio, USA. Specific objective of the study was to estimate the spatial distribution of SOC density (C stock per unit area) to 1.0-m depth for soils of Ohio using geographically weighted regression (GWR), and compare the results with that obtained from multiple linear regression (MLR). A total of 20 variables including terrain attributes, climate data, bedrock geology, and land use data were used for mapping the SOC density. Results showed that, the local spatial statistical technique, the GWR can perform better in capturing the spatial distribution of SOC across the study region as compared to other global spatial statistical techniques such as MLR


Article of periodic

published at : Journal of geographical sciences. Acta geographica sinica / ISSN 1009-637X

Editor : CHINE

Millesime : 2013, vol. 23, no2 [pp. 280-296]

Bibliographic references : 46 ref.

Collation : 7 fig., 4 tabl.



Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1007/s11442-013-1010-1

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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