Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates-Reference-Cited by-同舟云学术

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Improving the spatial prediction of soil organic carbon using environmental covariates selection: A comparison of a group of environmental covariates

Published:2022-01 Issue: Volume:208 Page:105723
ISSN:0341-8162
Container-title:CATENA
language:en
Short-container-title:CATENA

Author:

Zeraatpisheh Mojtaba,Garosi Younes,Reza Owliaie Hamid,Ayoubi Shamsollah,Taghizadeh-Mehrjardi Ruhollah,Scholten Thomas,Xu Ming

Funder

Deutsche Forschungsgemeinschaft

Isfahan University of Technology

Henan University

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference94 articles.

1. Digital mapping of topsoil carbon content and changes in the driftless area of Wisconsin, USA;Adhikari;Soil Sci. Soc. Am. J.,2015

2. Soil aggregation and organic carbon as affected by topography and land use change in western Iran;Ayoubi;Soil Tillage Res.,2012

3. Total carbon and nitrogen in the soils of the world;Batjes;Eur. J. Soil Sci.,1996

4. Multi-scale digital terrain analysis and feature selection for digital soil mapping;Behrens;Geoderma,2010

5. Pedogenic and microbial interrelations to regional climate and local topography: new insights from a climate gradient (arid to humid) along the Coastal Cordillera of Chile;Bernhard;Catena,2018

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