Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/106047
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Type: Journal article
Title: Predicting carbon stocks following reforestation of pastures: a sampling scenario-based approach for testing the utility of field-measured and remotely derived variables
Author: Cavagnaro, T.
Cunningham, S.
Citation: Land Degradation and Development, 2016; 28(3):1122-1133
Publisher: John Wiley & Sons
Issue Date: 2016
ISSN: 1085-3278
1099-145X
Statement of
Responsibility: 
Timothy R. Cavagnaro, Shaun C. Cunningham
Keywords: Bayesian GLM; carbon (C) sequestration; leaf litter; reforestation; soil C; soil ecology
Description: Published online 23 August 2016
Rights: Copyright © 2016 John Wiley & Sons, Ltd.
RMID: 0030058463
DOI: 10.1002/ldr.2585
Grant ID: http://purl.org/au-research/grants/arc/LP0990038
http://purl.org/au-research/grants/arc/FT120100463
Appears in Collections:Agriculture, Food and Wine publications

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