Quantifying root turnover in grasslands from biomass dynamics: Application of the growth-maintenance respiration paradigm and re-analysis of historical data
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DOI: 10.1016/j.ecolmodel.2022.109940
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- McCormack, M. Luke & Crisfield, Elizabeth & Raczka, Brett & Schnekenburger, Frank & Eissenstat, David M. & Smithwick, Erica A.H., 2015. "Sensitivity of four ecological models to adjustments in fine root turnover rate," Ecological Modelling, Elsevier, vol. 297(C), pages 107-117.
- Smithwick, Erica A.H. & Lucash, Melissa S. & McCormack, M. Luke & Sivandran, Gajan, 2014. "Improving the representation of roots in terrestrial models," Ecological Modelling, Elsevier, vol. 291(C), pages 193-204.
- Z Y Yuan & Han Y H Chen, 2012. "Indirect Methods Produce Higher Estimates of Fine Root Production and Turnover Rates than Direct Methods," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-6, November.
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Keywords
Soil organic matter; Root decomposition; Carbon cycle; Ecosystem process; Bayesian inference; Parameter scaling;All these keywords.
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