Evaluating gross primary productivity over 9 ChinaFlux sites based on random forest regression models, remote sensing, and eddy covariance data

已完结 10 由 xc 发布于 2024/9/18 18:01:16

DOI:10.1016/j.scitotenv.2023.162601
作者：Xiaoqing Chang , Yanqiu Xing , Weishu Gong , Cheng Yang , Zhen Guo , Dejun Wang , Jiaqi Wang , Hong Yang , Gang Xue , Shuhang Yang
文献类型：期刊论文
补充材料：只需要正文

其它数据库

Abstract：Accurate modeling of Gross Primary Productivity (GPP) in terrestrial ecosystems is a major challenge in quantifying the carbon cycle. Many light use efficiency (LUE) models have been develop

应助信息

求助已完结，文件已删除 如有需求请重新发布求助一键发布

感谢使用Book学术
本站所有文献仅供个人学习和参考，请勿将文件进行传播。共同遵守网站规定和相关知识产权规定。

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:其它数据库High‐Entropy Alloys: Potential Candidates for High‐Temperature Applications – An Overview