We investigated the effect of storage CO
2 flux on evaluating
RE (ecosystem respiration),
GPP (gross primary production), and
NEE (net ecosystem exchange) using 3 years of continuous data by eddy-covariance measurement. In the case of estimating carbon budget without consideration of the storage CO
2 flux, large underestimations in
RE and
GPP were caused especially during snow-free periods. Those bias errors reached 10% of annual cumulative
RE and
GPP. The daytime respiration estimated by the temperature dependency of nighttime
NEE may cause the underestimation of
RE and
GPP. By considering the simplified CO
2 storage flux estimated by CO
2 concentration time series at the height of the eddy-covariance measurement (
Fsc), the estimation accuracy in
RE and
GPP was drastically improved and the bias errors in
RE and
GPP were less than 2% of annual cumulative
RE and
GPP. The errors in
NEE were less than 6.4% of annual cumulative
NEE. In addition,
RE,
GPP, and
NEE estimated by considering
Fsc were similar in seasonal and inter-annual variation as compared with those estimated by considering
Fs. Therefore, we conclude that we can detect the seasonal and inter-annual variation of
RE,
GPP, and
NEE with enough accuracy for inter-comparison analyses without vertical CO
2 profile measurements, if
Fsc coincides well with
Fs, such as for our study site.
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