Collaborative application of BEPS at different time steps.

doi:10.13287/j.1001-9332.201609.017

Abstract

Abstract: BEPSHourly is committed to simulate the ecological and physiological process of vegetation at hourly time steps, and is often applied to analyze the diurnal change of gross primary productivity (GPP), net primary productivity (NPP) at site scale because of its more complex model structure and time-consuming solving process. However, daily photosynthetic rate calculation in BEPSDaily model is simpler and less time-consuming, not involving many iterative processes. It is suitable for simulating the regional primary productivity and analyzing the spatial distribution of regional carbon sources and sinks. According to the characteristics and applicability of BEPSDaily and BEPSHourly models, this paper proposed a method of collaborative application of BEPS at daily and hourly time steps. Firstly, BEPSHourly was used to optimize the main photosynthetic parameters: the maximum rate of carboxylation (V_{c max}) and the maximum rate of photosynthetic electron transport (J_max) at site scale, and then the two optimized parameters were introduced into BEPSDaily model to estimate regional NPP at regional scale. The results showed that optimization of the main photosynthesis parameters based on the flux data could improve the simulate ability of the model. The primary productivity of different forest types in descending order was deciduous broad-leaved forest, mixed forest, coniferous forest in 2011. The collaborative application of carbon cycle models at different steps proposed in this study could effectively optimize the main photosynthesis parameters V_{c max} and J_max, simulate the monthly averaged diurnal GPP, NPP, calculate the regional NPP, and analyze the spatial distribution of regional carbon sources and sinks.

LU Wei, FAN Wen-yi, TIAN Tian. Collaborative application of BEPS at different time steps.[J]. Chinese Journal of Applied Ecology, 2016, 27(9): 2771-2778.

References

[1] Liu J, Chen JM, Cihlar J, et al. Net primary productivity mapped for Canada at 1-km resolution. Global Ecology and Biogeography, 2002, 11: 115-129
[2] Chen JM, Liua J, Cihlar J, et al. Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications. Ecological Modelling, 1999, 124: 99-119
[3] Wang P-J (王培娟), Sun R (孙睿), Zhu Q-J (朱启疆), et al. Improvement on the abilities of BEPS sunder accidented terrain. Journal of Image and Graphics (中国图象图形学报), 2006, 11(7): 1017-1025 (in Chinese)
[4] Wang P-J (王培娟), Xie D-H (谢东辉), Zhang J-H (张佳华), et al. Spatial scaling of net primary productivity based on process model in Changbai Mountain in Natural Reserve. Acta Ecologica Sinica (生态学报), 2007, 27(8): 3215-3223 (in Chinese)
[5] Mao X-G (毛学刚). Study on the Model of Northeast Forest Carbon Cycle at Daily Step and the Integrated Application of Remote Sensing. PhD Thesis. Harbin: Northeast Forestry University, 2011 (in Chinese)
[6] Li D-Q (李登秋), Ju W-M (居为民), Zheng G (郑光), et al. Comparison of estimated forest biomass increment rate based on a process-based ecological model and forest inventory data. Ecology and Environmental Sciences (生态环境学报), 2013, 22(10): 1647-1657 (in Chinese)
[7] Zhang Y-M (张彦敏), Zhou G-S (周广胜). Advances in leaf maximum carboxylation rate and its response to environmental factors. Acta Ecologica Sinica (生态学报), 2012, 32(18): 5907-5917 (in Chinese)
[8] Zeng W (曾伟), Jiang Y-L (蒋延玲), Li F (李峰). Responses of Quercus mongolica’s photosynthetic parameters to soil moisture stress. Acta Ecologica Sinica (生态学报), 2008, 28(6): 2504-2510 (in Chinese)
[9] Li S-H (李世华), Niu Z (牛铮), Li B-C (李壁成). Study on remote sensing process model of vegetation NPP. Research of Soil and Water Conservation (水土保持研究), 2005, 12(3): 126-128 (in Chinese)
[10] Chen BZ, Chen JM, Ju WM. Remote sensing-based ecosystem-atmosphere simulation scheme (EASS): Model formulation and test with multiple-year data. Ecological Modelling, 2007, 209: 277-300
[11] Farquhar GD, Caemmerer SV, Berry JA. A biochemical model of photosynthetic CO₂ assimilation in leaves of C3 species. Planta, 1980, 149: 78-90
[12] Caemmerer SV, Farquhar GD. Some relationships between the biochemistry of photosynthesis and the gas exchange of leaves. Planta, 1981, 153: 376-387
[13] Jarvis PG, Morison JIL. Stomatal Physiology. Cambridge: Cambridge University Press, 1981
[14] Ball JT, Woodrow IE, Berry JA. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions// Biggins J, ed. Progress in Photosynthesis Research. New York: Springer, 1987: 221-224
[15] Wang YP, Leuning R. A two-leaf model for canopy conductance, photosynthesis and partitioning of available energy. I. Model description and comparison with a multi-layered model. Agricultural and Forest Meteorology, 1998, 91: 89-111
[16] Zhu G-L (朱高龙), Ju W-M (居为民), Chen JM, et al. Forest canopy leaf area index in Maoershan Mountain: Ground measurement and remote sensing retrieval. Chinese Journal of Applied Ecology (应用生态学报), 2010, 21(8): 2117-2124 (in Chinese)
[17] Lu W (卢伟), Fan W-Y (范文义). A fast estimation method for time-series forest LAI at the regional scale. Transactions of the Chinese Society of Agricultural Engineering (农业工程学报), 2016, 32(5): 188-193(in Chinese)
[18] Ren X-L (任小丽), He H-L (何洪林), Liu M (刘敏), et al. Modeling of carbon and water fluxes of Qianyanzhou subtropical coniferous plantation using model-data fusion approach. Acta Ecologica Sinica (生态学报), 2012, 32(23): 7313-7326 (in Chinese).
[19] Zhang Q (张强), Zhang L (张黎), He H-L (何洪林), et al. Inversion of the maximum light use efficiency using eddy covariance flux observations. Quaternary Sciences (第四纪研究), 2014, 34(4): 743-751 (in Chinese)
[20] Lu W (卢伟), Fan W-Y (范文义), Tian T (田甜). Parameter optimization of BEPS model based on the flux data of the temperate Korean pine broad-leaved forest in Northeast China. Chinese Journal of Applied Ecology (应用生态学报), 2016, 27(5): 1353-1358 (in Chinese)
[21] Wullschleger SD. Biochemical limitations to carbon assimilation in C3 plants: A retrospective analysis of the A/Ci curves from 109 species. Journal of Experimental Botany, 1993, 44: 907-920
[22] Yan S (闫霜), Zhang L (张黎), Jing Y-S (景元书), et al. Variations in the relationship between maximum leaf carboxylation rate and leaf nitrogen concentration. Chinese Journal of Plant Ecology (植物生态学报), 2014, 38(6): 640-652 (in Chinese)
[23] Zhu W-Q (朱文泉), Pan Y-Z (潘耀忠), Zhang J-S (张锦水). Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing. Chinese Journal of Plant Ecology (植物生态学报), 2007, 31(3): 413-424 (in Chinese)
[24] Zhang F-M (张方敏), Ju W-M (居为民), Chen J-M (陈镜明), et al. Characteristics of terrestrial ecosystem primary productivity in East Asia based on remote sensing and process-based model. Chinese Journal of Applied Ecology (应用生态学报), 2012, 23(2): 307-318 (in Chinese)
[25] Tao B (陶波), Li K-R (李克让), Shao X-M (邵雪梅), et al. Temporal and spatial pattern of net primary production of terrestrial ecosystems in China. Acta Geographica Sinica (地理学报), 2003, 58(3): 372-380 (in Chinese)