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

Auteur(s) et Affiliation(s)

KUMAR, S.

Dep. of Plant Science, South Dakota State Univ., Brookings, Etats-Unis

LAL, R.

Carbon Management and Sequestration Center, School of Environment and Natural Resources, Ohio State Univ., Columbus, Etats-Unis

LIU, D.

Dept. of Geography and Dept. of Statistics, Ohio State Univ., Columbus, Etats-Unis

RAFIQ, R.

Dep. of Microbiology and Plant Biology, Univ. of Oklahoma, Norman, Etats-Unis

Description :
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.

Type de document :
Article de périodique

Source :
Journal of geographical sciences. Acta geographica sinica, issn : 1009-637X, 2013, vol. 23, n°. 2, p. 280-296, nombre de pages : 17, Références bibliographiques : 46 ref.

Date :
2013

Editeur :
Pays édition : Chine

Langue :
Anglais