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The impact of abiotic and biotic factors on growth, mortality and net tree C stock in mountain forest ecosystems in southwest China 期刊论文
Environmental Research Letters, 2022, 卷号: 17, 期号: 12
作者:  Li,Ting;  Liu,Yang;  Wang,Qi;  Lai,Changhong;  Qiu,Yuming;  Tissue,David T;  Xiao,Jiangtao;  Li,Xuhua;  Peng,Li
收藏  |  浏览/下载:33/0  |  提交时间:2023/02/07
climate change  environmental context  forest structure  net C change  
Multi-scale change monitoring of water environment using cloud computing in optimal resolution remote sensing images 期刊论文
ENERGY REPORTS, 2022, 卷号: 8, 页码: 13610-13620
作者:  Feng, Lei;  You, Yu;  Liao, Weiling;  Pang, Jiawei;  Hu, Ronghao;  Feng, Li
收藏  |  浏览/下载:46/0  |  提交时间:2022/12/26
Cloud computing  Remote sensing image  Water resource  Environmental monitoring  
An exploration of sustainability versus productivity and ecological stability in planted and natural forests in Sichuan, China 期刊论文
LAND DEGRADATION & DEVELOPMENT, 2022, 卷号: 33, 期号: 17, 页码: 3641-3651
作者:  Li, Ting;  Wang, Qi;  Liu, Yang;  Lai, Changhong;  Lu, Heng;  Qiu, Yuming;  Peng, Li;  Tang, Hao
收藏  |  浏览/下载:49/0  |  提交时间:2022/12/26
climate change  ecological stability  mountain ecosystem  planted forest  sustainable management  
A distinctive mode of dissolved organic carbon biodegradation in karst lakes and reservoirs: Evidence from trophic controls and compositional transformations 期刊论文
JOURNAL OF CLEANER PRODUCTION, 2022, 卷号: 368, 页码: 11
作者:  Ni, Maofei;  Ma, Yongmei;  Wang, Zhikang;  Wang, Xiaodan;  Zhu, Sixi
收藏  |  浏览/下载:61/0  |  提交时间:2022/12/26
Karst lakes and reservoirs  Dissolved organic carbon biodegradation  Temperature sensitivity  Trophic controls  Compositional transformations  
Predicting Monthly Runoff of the Upper Yangtze River Based on Multiple Machine Learning Models 期刊论文
SUSTAINABILITY, 2022, 卷号: 14, 期号: 18, 页码: 23
作者:  Li, Xiao;  Zhang, Liping;  Zeng, Sidong;  Tang, Zhenyu;  Liu, Lina;  Zhang, Qin;  Tang, Zhengyang;  Hua, Xiaojun
收藏  |  浏览/下载:43/0  |  提交时间:2022/12/26
monthly runoff prediction  machine learning  copula entropy  stepwise regression  Upper Yangtze River  
Anthropogenic land use substantially increases riverine CO2 emissions 期刊论文
JOURNAL OF ENVIRONMENTAL SCIENCES, 2022, 卷号: 118, 页码: 158-170
作者:  Gu, Shijie;  Li, Siyue;  Santos, Isaac R.
收藏  |  浏览/下载:62/0  |  提交时间:2022/08/22
River carbon  Inland waters  Greenhouse gases  Climate change  Water quality  Headwater streams