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4 Ways Indigenous and Community Lands Can Reduce Emissions 新闻
来源平台：World Resources Institute. 发布日期：2021
作者:  admin
收藏  |  浏览/下载：10/0  |  提交时间：2021/04/06
Forests Absorb Twice As Much Carbon As They Emit Each Year 新闻
来源平台：World Resources Institute. 发布日期：2021
作者:  admin
收藏  |  浏览/下载：38/0  |  提交时间：2021/01/28
£73.5 million to boost green economic recovery in automotive sector 新闻
来源平台：Department for Business, Energy & Industrial Strategy. 发布日期：2020
作者:  admin
收藏  |  浏览/下载：34/0  |  提交时间：2020/06/24
Uncovering and quantifying the subduction zone sulfur cycle from the slab perspective 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Li, Ji-Lei;  Schwarzenbach, Esther M.;  John, Timm;  Ague, Jay J.;  Huang, Fang;  Gao, Jun;  Klemd, Reiner;  Whitehouse, Martin J.;  Wang, Xin-Shui
收藏  |  浏览/下载：8/0  |  提交时间：2020/05/13
Evidence for large carbon sink and long residence time in semiarid forests based on 15 year flux and inventory records 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Qubaja, Rafat;  Grunzweig, Jose M.;  Rotenberg, Eyal;  Yakir, Dan
收藏  |  浏览/下载：13/0  |  提交时间：2020/02/17
carbon sequestration  carbon sink  carbon turnover time  ecosystem productivity  semiarid  soil carbon  
State of the science in reconciling top-down and bottom-up approaches for terrestrial CO2 budget 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Kondo, Masayuki;  Patra, Prabir K.;  Sitch, Stephen;  Friedlingstein, Pierre;  Poulter, Benjamin;  Chevallier, Frederic;  Ciais, Philippe;  Canadell, Josep G.;  Bastos, Ana;  Lauerwald, Ronny;  Calle, Leonardo;  Ichii, Kazuhito;  Anthoni, Peter;  Arneth, Almut;  Haverd, Vanessa;  Jain, Atul K.;  Kato, Etsushi;  Kautz, Markus;  Law, Rachel M.;  Lienert, Sebastian;  Lombardozzi, Danica;  Maki, Takashi;  Nakamura, Takashi;  Peylin, Philippe;  Roedenbeck, Christian;  Zhuravlev, Ruslan;  Saeki, Tazu;  Tian, Hanqin;  Zhu, Dan;  Ziehn, Tilo
收藏  |  浏览/下载：21/0  |  提交时间：2020/02/17
atmospheric inversion  biosphere model  carbon stock change  CO2 evasion  land-use change emissions  net CO2 flux  residual land uptake  riverine carbon export  terrestrial CO2 budget  
Interannual variation of terrestrial carbon cycle: Issues and perspectives 期刊论文
GLOBAL CHANGE BIOLOGY, 2020, 26 (1) : 300-318
作者:  Piao, Shilong;  Wang, Xuhui;  Wang, Kai;  Li, Xiangyi;  Bastos, Ana;  Canadell, Josep G.;  Ciais, Philippe;  Friedlingstein, Pierre;  Sitch, Stephen
收藏  |  浏览/下载：21/0  |  提交时间：2020/02/17
carbon cycle  carbon-climate system  interaction of climatic factors  interannual variability  moisture  semiarid  temperature  terrestrial ecosystems  
Increased high-latitude photosynthetic carbon gain offset by respiration carbon loss during an anomalous warm winter to spring transition 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Liu, Zhihua;  Kimball, John S.;  Parazoo, Nicholas C.;  Ballantyne, Ashley P.;  Wang, Wen J.;  Madani, Nima;  Pan, Caleb G.;  Watts, Jennifer D.;  Reichle, Rolf H.;  Sonnentag, Oliver;  Marsh, Philip;  Hurkuck, Miriam;  Helbig, Manuel;  Quinton, William L.;  Zona, Donatella;  Ueyama, Masahito;  Kobayashi, Hideki;  Euskirchen, Eugenie S.
收藏  |  浏览/下载：12/0  |  提交时间：2019/11/27
ABoVE  boreal  carbon cycle  climate change  productivity  respiration  SMAP L4C  soil moisture  tundra  
Simultaneous numerical representation of soil microsite production and consumption of carbon dioxide, methane, and nitrous oxide using probability distribution functions 期刊论文
GLOBAL CHANGE BIOLOGY, 2019
作者:  Sihi, Debjani;  Davidson, Eric A.;  Savage, Kathleen E.;  Liang, Dong
收藏  |  浏览/下载：22/0  |  提交时间：2019/11/27
CH4  CO2  DAMM  DAMM-GHG  greenhouse gas  N2O  probability distribution function  soil microsite  
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