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Divergent above‐ and below‐ground biodiversity pathways mediate disturbance impacts on temperate forest multifunctionality 期刊论文
Global Change Biology, 2021
作者:  Zuoqiang Yuan;  Arshad Ali;  Michel Loreau;  Fang Ding;  Shufang Liu;  Anvar Sanaei;  Wangming Zhou;  Ji Ye;  Fei Lin;  Shuai Fang;  Zhanqing Hao;  Xugao Wang;  Yoann Le Bagousse‐;  Pinguet
收藏  |  浏览/下载：14/0  |  提交时间：2021/04/06
Temperature sensitivity of SOM decomposition is linked with a K‐selected microbial community 期刊论文
Global Change Biology, 2021
作者:  Hui Li;  Shan Yang;  Mikhail V. Semenov;  Fei Yao;  Ji Ye;  Rencang Bu;  Ruiao Ma;  Junjie Lin;  Irina Kurganova;  Xugao Wang;  Ye Deng;  Irina Kravchenko;  Yong Jiang;  Yakov Kuzyakov
收藏  |  浏览/下载：13/0  |  提交时间：2021/04/06
Extreme rainfall, rainfall erosivity, and hillslope erosion in Australian Alpine region and their future changes 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019
作者:  Zhu, Qinggaozi;  Yang, Xihua;  Fei, Ji;  Liu, De Li;  Yu, Qiang
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27
Alpine  extreme rainfall  NARCliM  rainfall erosivity  soil loss  
The role of topography on projected rainfall change in mid-latitude mountain regions 期刊论文
CLIMATE DYNAMICS, 2019, 53: 3675-3690
作者:  Grose, Michael R.;  Syktus, Jozef;  Thatcher, Marcus;  Evans, Jason P.;  Ji, Fei;  Rafter, Tony;  Remenyi, Tom
收藏  |  浏览/下载：7/0  |  提交时间：2019/11/27
Regional climate models  Added value  Rainfall  Climate change  
Assessment of actual evapotranspiration variability over global land derived from seven reanalysis datasets 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (6) : 2919-2932
作者:  Feng, Taichen;  Su, Tao;  Zhi, Rong;  Tu, Gang;  Ji, Fei
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/26
actual evapotranspiration  global warming  potential evapotranspiration  reanalysis  
Risks of precipitation extremes over Southeast Asia: does 1.5 degrees C or 2 degrees C global warming make a difference? 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (4)
作者:  Ge, Fei;  Zhu, Shoupeng;  Peng, Ting;  Zhao, Yong;  Sielmann, Frank;  Fraedrich, Klaus;  Zhi, Xiefei;  Liu, Xiaoran;  Tang, Weiwei;  Ji, Luying
收藏  |  浏览/下载：9/0  |  提交时间：2019/11/26
Paris agreement  CORDEX  regional climate change  extreme precipitation  Southeast Asia  
Projected change in characteristics of near surface temperature inversions for southeast Australia 期刊论文
CLIMATE DYNAMICS, 2019, 52: 1487-1503
作者:  Ji, Fei;  Evans, Jason Peter;  Di Luca, Alejandro;  Jiang, Ningbo;  Olson, Roman;  Fita, Lluis;  Argueso, Daniel;  Chang, Lisa T. -C.;  Scorgie, Yvonne;  Riley, Matt
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
Temperature inversion  NARCliM  Ensemble mean  Near surface inversion  
Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2019, 39 (1) : 424-444
作者:  Liu, De Li;  Wang, Bin;  Evans, Jason;  Ji, Fei;  Waters, Cathy;  Macadam, Ian;  Yang, Xihua;  Beyer, Kathleen
收藏  |  浏览/下载：7/0  |  提交时间：2019/04/09
APSIM  bias correction  bias propagation  bio-physical crop model  NARCliM  rainfall intensity  rainfall probability  RCMs  wheat cropping system  
An electron transfer path connects subunits of a mycobacterial respiratory supercomplex 期刊论文
SCIENCE, 2018, 362 (6418) : 1020-+
作者:  Gong, Hongri;  Li, Jun;  Xu, Ao;  Tang, Yanting;  Ji, Wenxin;  Gao, Ruogu;  Wang, Shuhui;  Yu, Lu;  Tian, Changlin;  Li, Jingwen;  Yen, Hsin-Yung;  Lam, Sin Man;  Shui, Guanghou;  Yang, Xiuna;  Sun, Yuna;  Li, Xuemei;  Jia, Minze;  Yang, Cheng;  Jiang, Biao;  Lou, Zhiyong;  Robinson, Carol V.;  Wong, Luet-Lok;  Guddat, Luke W.;  Sun, Fei;  Wang, Quan;  Rao, Zihe
收藏  |  浏览/下载：11/0  |  提交时间：2019/11/27
Using multi-model ensembles of CMIP5 global climate models to reproduce observed monthly rainfall and temperature with machine learning methods in Australia 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (13) : 4891-4902
作者:  Wang, Bin;  Zheng, Lihong;  Liu, De Li;  Ji, Fei;  Clark, Anthony;  Yu, Qiang
收藏  |  浏览/下载：5/0  |  提交时间：2019/04/09
GCMs  machine learning  multi-model ensemble  random forest  support vector machine