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Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Kim, Yeonuk;  Johnson, Mark S.;  Knox, Sara H.;  Black, T. Andrew;  Dalmagro, Higo J.;  Kang, Minseok;  Kim, Joon;  Baldocchi, Dennis
收藏  |  浏览/下载：16/0  |  提交时间：2019/11/27
artificial neural network  comparison of gap-filling techniques  eddy covariance  machine learning  marginal distribution sampling  methane flux  random forest  support vector machine  
The response of stomatal conductance to seasonal drought in tropical forests 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Wu, Jin;  Serbin, Shawn P.;  Ely, Kim S.;  Wolfe, Brett T.;  Dickman, L. Turin;  Grossiord, Charlotte;  Michaletz, Sean T.;  Collins, Adam D.;  Detto, Matteo;  McDowell, Nate G.;  Wright, S. Joseph;  Rogers, Alistair
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
carbon and water exchange  leaf age  leaf water potential  plant traits  spectroscopy  stomatal conductance model  stomatal slope  vulnerability curve