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
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- 作者：Shaoqing Liua ; Qianlai Zhuanga ; b ; qzhuang@purdue.edu" class="auth_mail" title="E-mail the corresponding author ; Yujie Hea ; Asko Noormetsc ; Jiquan Chend ; Lianhong Gue
- 关键词：Gross primary production ; Net ecosystem change ; Eddy flux tower ; CO2 ; Artificial neural network
- 刊名：Agricultural and Forest Meteorology
- 出版年：2016
- 出版时间：15 April 2016
- 年：2016
- 卷：220
- 期：Complete
- 页码：38-49
- 全文大小：4686 K
文摘
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We upscaled AmeriFlux tower data to the conterminous United Stateswith and without considering the atmospheric CO2.
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GPP/NEE difference between two models exhibits a great spatial and seasonal variability and an annual difference of 200 g C m−2 yr−1.
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Air temperature played an important role in determining the atmospheric CO2 effects on carbon fluxes.
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The simulation without considering CO2 effects failed to detect ecosystem responses to droughts in part of the US in 2006.
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