Gross primary production (GPP) is one of the most important characteristics of an ecosystem. At present, no empirically based method to estimate GPP is available, other than measurements of net CO 2 exchange and calculations of respiration. Data sets from continuous CO 2 flux measurements in a number of ecosystems (Ameriflux, AgriFlux, etc.) for the first time provide an opportunity to obtain empirically based estimates of GPP. In this paper, using the results of CO 2 flux tower measurements during the 1997 season at four sites in Oklahoma (tallgrass prairie, mixed prairie, pasture, and winter wheat crop), we describe a method to evaluate the average daytime rate of ecosystem respiration, R d , by estimation of the respiration term of the nonrectangular hyperbolic model of the ecosystem‐scale light‐response curve. Comparison of these predicted daytime respiration rates with directly measured corresponding nighttime values, R n , after appropriate length of the night and temperature correction, demonstrated close linear relationship, with 0.82 ≤ R 2 ≤ 0.98 for weekly averaged fluxes. Daily gross primary productivity, P g , can be calculated as P g = P d + R d , where P d is the daytime integral of the net ecosystem CO 2 exchange, obtained directly from measurements. Annual GPP for the sites, obtained as the sum of P g over the whole period with P g > 0 were: tallgrass prairie, 5223 g CO 2 m −2 ; winter wheat, 2853 g CO 2 m −2 ; mixed prairie, 3037 g CO 2 m −2 ; and pasture, 2333 g CO 2 m −2 . These values are in agreement with published GPP estimates for nonforest terrestrial ecosystems.
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Gilmanov et al. (2003) studied this question.
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