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Machine learning for the prediction of L. chinensis carbon, nitrogen and phosphorus contents and understanding of mechanisms underlying grassland degradation

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Document Code : 5

First Author : et al, Y.Y., Zhao, S., Liang, Y.F. *,Li

Date of Publication : 2017-01-31

Journal : Journal of environmental management

Volume : 192

Page Number : 116-123(impact factor: 4.005)

Translation or Not : no

Pre One : Ecological stoichiometry homeostasis of Leymus chinensis in degraded grassland in western Jilin Province, NE China

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