GSTDTAP

浏览/检索结果: 共2条,第1-2条 帮助

限定条件        
已选(0)清除 条数/页:   排序方式:
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  
Deep soil flipping increases carbon stocks of New Zealand grasslands 期刊论文
GLOBAL CHANGE BIOLOGY, 2019, 25 (7) : 2296-2309
作者:  Schiedung, Marcus;  Tregurtha, Craig S.;  Beare, Michael H.;  Thomas, Steve M.;  Don, Axel
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/27
carbon burial  carbon sequestration  carbon stocks  chronosequence  grassland  re-sampling  soil organic carbon  subsoil