skip to main content

DOE PAGESDOE PAGES

Title: Evaluating atmospheric CO2 effects on gross primary productivity and net ecosystem exchanges of terrestrial ecosystems in the conterminous United States using the AmeriFlux data and an artificial neural network approach

Authors:
; ; ; ; ;
Publication Date:
Grant/Contract Number:
FG02-08ER64599
Type:
Publisher's Accepted Manuscript
Journal Name:
Agricultural and Forest Meteorology
Additional Journal Information:
Journal Volume: 220; Journal Issue: C; Related Information: CHORUS Timestamp: 2018-09-15 22:21:34; Journal ID: ISSN 0168-1923
Publisher:
Elsevier
Sponsoring Org:
USDOE
Country of Publication:
Netherlands
Language:
English
OSTI Identifier:
1358736

Liu, Shaoqing, Zhuang, Qianlai, He, Yujie, Noormets, Asko, Chen, Jiquan, and Gu, Lianhong. Evaluating atmospheric CO2 effects on gross primary productivity and net ecosystem exchanges of terrestrial ecosystems in the conterminous United States using the AmeriFlux data and an artificial neural network approach. Netherlands: N. p., Web. doi:10.1016/j.agrformet.2016.01.007.
Liu, Shaoqing, Zhuang, Qianlai, He, Yujie, Noormets, Asko, Chen, Jiquan, & Gu, Lianhong. Evaluating atmospheric CO2 effects on gross primary productivity and net ecosystem exchanges of terrestrial ecosystems in the conterminous United States using the AmeriFlux data and an artificial neural network approach. Netherlands. doi:10.1016/j.agrformet.2016.01.007.
Liu, Shaoqing, Zhuang, Qianlai, He, Yujie, Noormets, Asko, Chen, Jiquan, and Gu, Lianhong. 2016. "Evaluating atmospheric CO2 effects on gross primary productivity and net ecosystem exchanges of terrestrial ecosystems in the conterminous United States using the AmeriFlux data and an artificial neural network approach". Netherlands. doi:10.1016/j.agrformet.2016.01.007.
@article{osti_1358736,
title = {Evaluating atmospheric CO2 effects on gross primary productivity and net ecosystem exchanges of terrestrial ecosystems in the conterminous United States using the AmeriFlux data and an artificial neural network approach},
author = {Liu, Shaoqing and Zhuang, Qianlai and He, Yujie and Noormets, Asko and Chen, Jiquan and Gu, Lianhong},
abstractNote = {},
doi = {10.1016/j.agrformet.2016.01.007},
journal = {Agricultural and Forest Meteorology},
number = C,
volume = 220,
place = {Netherlands},
year = {2016},
month = {4}
}