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The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management 期刊论文
COMMUNICATIONS EARTH & ENVIRONMENT, 2022, 卷号: 3, 期号: 1
作者:  Sha, Zongyao;  Bai, Yongfei;  Li, Ruren;  Lan, Hai;  Zhang, Xueliang;  Li, Jonathon;  Liu, Xuefeng;  Chang, Shujuan;  Xie, Yichun
Adobe PDF(1289Kb)  |  收藏  |  浏览/下载：26/0  |  提交时间：2024/03/07
Making sense of multivariate community responses in global change experiments 期刊论文
ECOSPHERE, 2022, 卷号: 13, 期号: 10
作者:  Avolio, Meghan L.;  Komatsu, Kimberly J.;  Koerner, Sally E.;  Grman, Emily;  Isbell, Forest;  Johnson, David S.;  Wilcox, Kevin R.;  Alatalo, Juha M.;  Baldwin, Andrew H.;  Beierkuhnlein, Carl;  Britton, Andrea J.;  Foster, Bryan L.;  Harmens, Harry;  Kern, Christel C.;  Li, Wei;  McLaren, Jennie R.;  Reich, Peter B.;  Souza, Lara;  Yu, Qiang;  Zhang, Yunhai
Adobe PDF(1550Kb)  |  收藏  |  浏览/下载：12/0  |  提交时间：2024/03/07
centroids  data synthesis  dispersion  dissimilarity metrics  rank abundance curves  richness  
Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文
GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11
作者:  Han, Lang;  Yu, Gui-Rui;  Chen, Zhi;  Zhu, Xian-Jin;  Zhang, Wei-Kang;  Wang, Tie-Jun;  Xu, Li;  Chen, Shi-Ping;  Liu, Shao-Min;  Wang, Hui-Min;  Yan, Jun-Hua;  Tan, Jun-Lei;  Zhang, Fa-Wei;  Zhao, Feng-Hua;  Li, Ying-Nian;  Zhang, Yi-Ping;  Sha, Li-Qing;  Song, Qing-Hai;  Shi, Pei-Li;  Zhu, Jiao-Jun;  Wu, Jia-Bing;  Zhao, Zhong-Hui;  Hao, Yan-Bin;  Ji, Xi-Bin;  Zhao, Liang;  Zhang, Yu-Cui;  Jiang, Shi-Cheng;  Gu, Feng-Xue;  Wu, Zhi-Xiang;  Zhang, Yang-Jian;  Li, Zhou;  Tang, Ya-Kun;  Jia, Bing-Rui;  Dong, Gang;  Gao, Yan-Hong;  Jiang, Zheng-De;  Sun, Dan;  Wang, Jian-Lin;  He, Qi-Hua;  Li, Xin-Hu;  Wang, Fei;  Wei, Wen-Xue;  Deng, Zheng-Miao;  Hao, Xiang-Xiang;  Liu, Xiao-Li;  Zhang, Xi-Feng;  Mo, Xing-Guo;  He, Yong-Tao;  Liu, Xin-Wei;  Du, Hu;  Zhu, Zhi-Lin
Adobe PDF(2863Kb)  |  收藏  |  浏览/下载：25/0  |  提交时间：2024/03/07
ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension