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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  
Continental-extent patterns in amphibian malformations linked to parasites, chemical contaminants, and their interactions 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 24 (1) : E275-E288
作者:  Haas, Sarah E.;  Reeves, Mari K.;  Pinkney, Alfred E.;  Johnson, Pieter T. J.
收藏  |  浏览/下载：2/0  |  提交时间：2019/04/09
amphibian malformations  chemical contaminants  land use  Ribeiroia ondatrae  spatial nonstationarity