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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  
Ecosystem-scale methane flux in tropical peat swamp forest in Indonesia 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 24 (11) : 5123-5136
作者:  Sakabe, Ayaka;  Itoh, Masayuki;  Hirano, Takashi;  Kusin, Kitso
收藏  |  浏览/下载：6/0  |  提交时间：2019/04/09
anaerobic soil incubation  annual budget  CH4 flux  eddy covariance  groundwater level  seasonal variation  substrate availability  tropical peat swamp forest  
Spring photosynthetic onset and net CO2 uptake in Alaska triggered by landscape thawing 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 24 (8) : 3416-3435
作者:  Parazoo, Nicholas C.;  Arneth, Almut;  Pugh, Thomas A. M.;  Smith, Ben;  Steiner, Nicholas;  Luus, Kristina;  Commane, Roisin;  Benmergui, Josh;  Stofferahn, Eric;  Liu, Junjie;  Roedenbeck, Christian;  Kawa, Randy;  Euskirchen, Eugenie;  Zona, Donatella;  Arndt, Kyle;  Oechel, Walt;  Miller, Charles
收藏  |  浏览/下载：8/0  |  提交时间：2019/04/09
boreal  carbon cycle  eddy covariance  freeze-thaw  inversion  remote sensing  tundra  vegetation fluorescence  
Towards physiologically meaningful water-use efficiency estimates from eddy covariance data 期刊论文
GLOBAL CHANGE BIOLOGY, 2018, 24 (2) : 694-710
作者:  Knauer, Juergen;  Zaehle, Soenke;  Medlyn, Belinda E.;  Reichstein, Markus;  Williams, Christopher A.;  Migliavacca, Mirco;  De Kauwe, Martin G.;  Werner, Christiane;  Keitel, Claudia;  Kolari, Pasi;  Limousin, Jean-Marc;  Linderson, Maj-Lena
收藏  |  浏览/下载：14/0  |  提交时间：2019/04/09
aerodynamic conductance  canopy gradients  eddy covariance  energy imbalance  intrinsic water-use efficiency  Penman-Monteith equation  slope parameter  surface conductance  
Grassland gross carbon dioxide uptake based on an improved model tree ensemble approach considering human interventions: global estimation and covariation with climate 期刊论文
GLOBAL CHANGE BIOLOGY, 2017, 23 (7)
作者:  Liang, Wei;  Lu, Yihe;  Zhang, Weibin;  Li, Shuai;  Jin, Zhao;  Ciais, Philippe;  Fu, Bojie;  Wang, Shuai;  Yan, Jianwu;  Li, Junyi;  Su, Huimin
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
arid/semiarid ecosystems  climate control  data-driven method  global grassland GPP  grazing and cutting  model tree ensembles  spatiotemporal patterns