中文版 | English

在结果中检索

GSTDTAP

浏览/检索结果: 共3条，第1-3条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Seasonal variability of forest sensitivity to heat and drought stresses: A synthesis based on carbon fluxes from North American forest ecosystems 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Xu, Bing;  Arain, M. Altaf;  Black, T. Andrew;  Law, Beverly E.;  Pastorello, Gilberto Z.;  Chu, Housen
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/27
climatic stresses  drought  eddy covariance technique  FLUXNET2015  forest carbon cycle  heat wave  net ecosystem productivity  
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  
Divergent long-term trends and interannual variation in ecosystem resource use efficiencies of a southern boreal old black spruce forest 1999-2017 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (9) : 3056-3069
作者:  Liu, Peng;  Black, T. Andrew;  Jassal, Rachhpal S.;  Zha, Tianshan;  Nesic, Zoran;  Barr, Alan G.;  Helgason, Warren D.;  Jia, Xin;  Tian, Yun;  Stephens, Jilmarie J.;  Ma, Jingyong
收藏  |  浏览/下载：6/0  |  提交时间：2019/11/27
carbon use efficiency  climate change  gross ecosystem productivity  light use efficiency  long-term trends  Old Black Spruce  southern boreal forest  water use efficiency