Publications [#281733] of Gabriel G. Katul
Papers Published
- Xiao, J; Zhuang, Q; Baldocchi, DD; Law, BE; Richardson, AD; Chen, J; Oren, R; Starr, G; Noormets, A; Ma, S; Verma, SB; Wharton, S; Wofsy, SC; Bolstad, PV; Burns, SP; Cook, DR; Curtis, PS; Drake, BG; Falk, M; Fischer, ML; Foster, DR; Gu, L; Hadley, JL; Hollinger, DY; Katul, GG; Litvak, M; Martin, TA; Matamala, R; McNulty, S; Meyers, TP; Monson, RK; Munger, JW; Oechel, WC; U, KTP; Schmid, HP; Scott, RL; Sun, G; Suyker, AE; Torn, MS, Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data,
Agricultural and Forest Meteorology, vol. 148 no. 11
(2008),
pp. 1827-1847, ISSN 0168-1923 [doi]
(last updated on 2023/06/01)Abstract:
Eddy covariance flux towers provide continuous measurements of net ecosystem carbon exchange (NEE) for a wide range of climate and biome types. However, these measurements only represent the carbon fluxes at the scale of the tower footprint. To quantify the net exchange of carbon dioxide between the terrestrial biosphere and the atmosphere for regions or continents, flux tower measurements need to be extrapolated to these large areas. Here we used remotely sensed data from the Moderate Resolution Imaging Spectrometer (MODIS) instrument on board the National Aeronautics and Space Administration's (NASA) Terra satellite to scale up AmeriFlux NEE measurements to the continental scale. We first combined MODIS and AmeriFlux data for representative U.S. ecosystems to develop a predictive NEE model using a modified regression tree approach. The predictive model was trained and validated using eddy flux NEE data over the periods 2000-2004 and 2005-2006, respectively. We found that the model predicted NEE well (r = 0.73, p