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

Shaoqing Liu, Qianlai Zhuang, Yujie He, Asko Noormets, Jiquan Chen, Lianhong Gu
2016 Agricultural and Forest Meteorology  
18 Quantitative understanding of regional gross primary productivity (GPP) and net ecosystem 19 exchanges (NEE) and their responses to environmental changes are critical to quantifying the 20 feedbacks of ecosystems to the global climate system. Numerous studies have used the eddy flux 21 data to upscale the eddy covariance derived carbon fluxes from stand scales to regional and global 22 study suggests that the spatially and temporally varied atmospheric CO 2 concentrations should be 38
more » ... d into carbon quantification when scaling eddy flux data to a region. 39 3 Keywords: gross primary production, net ecosystem change, eddy flux tower, CO 2 , artificial neural 40 network 41 42 4 et al. 1999). At present, over 500 flux tower sites have been operated to measure the exchanges of 62 carbon fluxes continuously over a broad range of climate and biome types (FLUXNET 63 http://daac.ornl.gov/FLUXNET/fluxnet.shtml). These towers also provide calibrated, validated NEE 64 data and the derived GPP product. To date, numerous studies have been conducted using those flux 65 data to explore the GPP and NEE temporal or spatial variation and their controlling factors in 66 terrestrial ecosystems (Valentini et al.
doi:10.1016/j.agrformet.2016.01.007 fatcat:koenipsoffbrjpgqdwpg3ealzi