Prince S D, Goward S N. Global primary production: a remote sensing approach. Journal of Biogeography, 1995, 22: 815-835.
[2]
Potter C S, Randerson J T, Field C B, et al. Terrestrial ecosystem production: a process model-based on global satellite and surface data. Global Biogeochemical Cycles, 1993, 7: 811-841.
Yuan W P, Liu S G, Zhou G S, et al. Deriving a light use efficiency model from eddy covariance flux data for predicting daily gross primary production across biomes. Agricultural and Forest Meteorology, 2007, 143: 189-207.
[7]
Wu C Y, Niu Z, Tang Q, et al. Remote estimation of gross primary production in wheat using chlorophyII-related vegetation indices. Agricultural and Forest Meteorology, 2009, 149: 1015-1021.
[8]
Coops N C, Jassal R S, Leuning R, et al. Incorporation of a soil water modifier into MODIS predictions of temperate Douglas-fir gross primary productivity: Initial model development. Agricultural and Forest Meteorology, 2007, 147: 99-109.
[9]
Running S W, Nemani R R, Heinsch F A, et al. A continuous satellite-derived measure of global terrestrial primary production. Bioscience, 2004, 54: 547-560.
[10]
Cook B D, Bolstad P V, Naesset E, et al. Using LiDAR and quickbird data to model plant production and quantify uncertainties associated with wetland detection and land cover generalizations. Remote Sensing of Environment, 2009, 113: 2366-2379.
[11]
Heinsch F A, Zhao M S, Running S W, et al. Evaluation of remote sensing based terrestrial productivity from MODIS using regional tower eddy flux network observations. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44: 1908-1925.
[12]
Zhang Y Q, Yu Q, Jiang J, et al. Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biology, 2008, 14: 757-767.
[13]
Zhao M S, Heinsch F A, Nemani R R. Improvements of the MODIS terrestrial gross and primary production global data set. Remote Sensing of Environment, 2005, 95: 164-176.
[14]
Turner D P, Ritts W D, Cohen W B, et al. Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sensing of Environment, 2006, (3-4): 282-292.
[15]
Xu L L, Zhang X Z, Shi P L, et al. Establishment of apparent quantum yield and maximum ecosystem assimilation on Tibetan Plateau alpine meadow ecosystem. Sciences in China Series D, 2005, 48: 141-147.
[16]
Ni J. Carbon storage in grasslands of China. Journal of Arid Environment, 2002, 50: 205-218.
Falge E, Baldocchi D, Olson R, et al. Gap filling strategies for defensible annual sums of net ecosystem exchange. Agricultural and Forest Meteorology, 2001, 107: 43-69.
[22]
Fu Y, Zheng Z, Yu G, et al. Environmental influences on carbon dioxide fluxes over three grassland ecosystem in China. Biogeosciences, 2009, 6: 2879-2893.
[23]
Yu G R, Zhang L M, Sun X M, et al. Environmental controls over carbon exchange of three forest ecosystems in eastern China. Global Change Biology, 2008, 14: 2555-2571.
[24]
Ruimy A, Kergoat L, Bondeau A, et al. Comparing global models of terrestrial net primary productivity (NPP): analysis of differences in light absorption and light-use efficiency. Global Change Biology, 1999, 5: 56-64.
[25]
Xu L L, Zhang X Z, Shi P L, et al. Modeling the maximum apparent quantum use efficiency of alpine meadow ecosystem on Tibetan Plateau. Ecological Modelling, 2007, 208: 129-134.
[26]
Xiao X M, Zhang Q Y, Braswell B, et al. Modeling gross primary production of temperature deciduous broadleaf forest using satellite images and climate data. Remote Sensing of Environment, 2004, 91: 256-270.
[27]
Almeida A C, Landsberg J J. Evaluating methods of estimating global radiation and vapor pressure deficit using a dense network of automatic weather stations in coastal Brazil. Agricultural and Forest Meteorology, 2003, 118: 237-250.