Carbon sequestration potential in croplands in Lesotho
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DOI: 10.1016/j.ecolmodel.2022.110052
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- Wright, Marvin N. & Ziegler, Andreas, 2017. "ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i01).
- Timothy E. Crews & Brian E. Rumsey, 2017. "What Agriculture Can Learn from Native Ecosystems in Building Soil Organic Matter: A Review," Sustainability, MDPI, vol. 9(4), pages 1-18, April.
- Hoyoung Kwon & Carmen M Ugarte & Stephen M Ogle & Stephen A Williams & Michelle M Wander, 2017. "Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-18, February.
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Keywords
Sequestration; Carbon stock; Lesotho; RothC; Cropland; Digital soil mapping;All these keywords.
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