Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Zhengdao Yang"'
Publikováno v:
Frontiers in Forests and Global Change, Vol 7 (2024)
Amid global carbon reduction and climate action, precise forest carbon storage estimation is crucial for comprehending the carbon cycle. This study forecasts P. kesiya var. langbianensis forests’ 2030 stand carbon storage using data from 81 permane
Externí odkaz:
https://doaj.org/article/f2eab92795194e32b7f2b6378456d6e8
Autor:
Shaolong Luo, Li Xu, Jinge Yu, Wenwu Zhou, Zhengdao Yang, Shuwei Wang, Chaosheng Guo, Yingqun Gao, Jinnan Xiao, Qingtai Shu
Publikováno v:
Forests, Vol 14, Iss 9, p 1792 (2023)
The traditional classical sampling statistics method ignores the spatial location relationship of survey samples, which leads to many problems. This study aimed to propose a spatial sampling method for sampling estimation and optimization of forest b
Externí odkaz:
https://doaj.org/article/2a880a8d359f4c1798fd71cbf6bc3291
Autor:
Li Xu, Qingtai Shu, Huyan Fu, Wenwu Zhou, Shaolong Luo, Yingqun Gao, Jinge Yu, Chaosheng Guo, Zhengdao Yang, Jinnan Xiao, Shuwei Wang
Publikováno v:
Forests, Vol 14, Iss 5, p 876 (2023)
Accurately estimating forest biomass based on spaceborne lidar on a county scale is challenging due to the incomplete coverage of spaceborne lidar data. Therefore, this research aims to interpolate GEDI spots and explore the feasibility of approaches
Externí odkaz:
https://doaj.org/article/a10bdce254254d338373d134148a2318
Publikováno v:
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract. 22(11)
The impact of preoperative sarcopenia on postoperative complications and overall survival has been recently debated. Our meta-analysis aims to ascertain whether preoperative sarcopenia increases the risk of poor outcomes and to attempt to provide new