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Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon st...

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Record title

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale

Record identifier

TN_cdi_proquest_journals_2081120200

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale

ACCESS
https://collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2081120200

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale

Full title

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2015

Record Identifier

TN_cdi_proquest_journals_2081120200

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

SCOPE AND CONTENTS

Contents

Soil organic carbon (SOC) plays a major role in the global carbon budget. It can act as a source or a sink of atmospheric carbon, thereby possibly influencing the course of climate change. Improving the tools that model the spatial distributions of SOC stocks at national scales is a priority, both for monitoring changes in SOC and as an input for g...

ALTERNATIVE TITLES

Full title

Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale

Identifiers

PRIMARY IDENTIFIERS

Record Identifier

TN_cdi_proquest_journals_2081120200

Permalink

https://collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2081120200

OTHER IDENTIFIERS

E-ISSN

2331-8422

DOI

10.1016/j.geoderma.2014.01.005

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