Modelling light use efficiency of alpine meadows on the Northern Tibetan Plateau based on the MODIS algorithm

Abstract

Abstract: Light use efficiency (LUE) is defined as the ratio of primary production to absorbed photosynthetically active radiation (APAR) by a vegetation canopy and it reflects the capability of using luminous energy. Quantitative analysis of the temporal and spatial variations of primary production is based on the quantitative analysis LUE and is an important component of quantitative analysis of the global carbon cycle. Therefore, quantitative analysis of the global vegetation LUE is an important component of quantitative analysis of the global carbon cycle. The LUE of alpine meadows on the Northern Tibetan Plateau were modeled based on the MODIS LUE algorithm in 2004-2005. Daily minimum air temperature (Tamin) and vapor pressure deficit (VPD) were used to calculate the temperature attenuation scalar (T_scalar) and water attenuation scalar (W_scalar), respectively. Based on correlation analysis and multiple stepwise linear regression analysis, the T_scalar might explain more seasonal variations of LUE than the W_scalar. Modeled LUE values were about 14.97% and 16.57% larger than observed LUE values in 2004 and 2005, respectively. However, there was no significant difference between modeled LUE and observed LUE. This means that the LUE model based on the MODIS algorithm had high accuracy to model LUE of alpine meadows on the Northern Tibetan Plateau. Correlation analysis showed that the correlation coefficient between observed LUE and Tamin was larger than that between observed LUE and mean air temperature. This indicated that Tamin was better than mean air temperature in quantitative analysis of the LUE seasonal change. The LUE model based on the MODIS algorithm accurately quantified the LUE of alpine meadows on the Northern Tibetan Plateau.

CLC Number:

S812.29

WU Jian-shuang, ZHOU Yu-ting. Modelling light use efficiency of alpine meadows on the Northern Tibetan Plateau based on the MODIS algorithm[J]. Acta Prataculturae Sinica, 2012, 21(1): 239-247.

References

Prince S D, Goward S N. Global primary production: a remote sensing approach. Journal of Biogeography, 1995, 22: 815-835.
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.
王莺, 夏文韬, 梁天刚, 等. 基于MODIS植被指数的甘南草地净初级生产力时空变化研究. 草业学报, 2010, 19(1): 201-210.
公延明, 胡玉昆, 阿德力麦地, 等. 高寒草原对气候生产力模型的适用分析. 草业学报, 2010, 19(2): 7-13.
王雯玥, 韩清芳, 宗毓峥, 等. 不同叶型紫花苜蓿不同茬次光合效率的差异. 草业科学, 2010, 27(5): 50-56.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Ni J. Carbon storage in grasslands of China. Journal of Arid Environment, 2002, 50: 205-218.
李东, 黄耀, 吴琴, 等. 青藏高原高寒草甸生态系统土壤有机碳动态模拟研究. 草业学报, 2010, 19(2): 160-168.
周刊社, 杜军, 袁雷, 等. 西藏怒江流域高寒草甸气候生产潜力对气候变化的响应. 草业学报, 2010, 19(5): 17-24.
仁青吉, 武高林, 任国华. 放牧强度对青藏高原东部高寒草甸植物群落特征的影响. 草业学报, 2009, 18(5): 256-261.
付刚, 沈振西, 张宪洲, 等. 基于MODIS影像的藏北高寒草甸的蒸散模拟. 草业学报, 2010, 19(5): 103-112.
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.
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.
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.
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.
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.
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.
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.
同小娟, 李俊, 王玲. 农田光能利用效率研究进展. 生态学杂志, 2008, 27(6): 1021-1028.
同小娟, 李俊, 于强. 农田生态系统光能利用效率及其影响因子分析. 自然资源学报, 2009, 24(8): 1393-1401.

[1]	XU Sha,GONG Ji-rui,ZHANG Zi-yu,LIU Min,WANG Yi-hui,LUO Qin-pu. The ecological stoichiometry of dominant species in different land uses type of grassland [J]. Acta Prataculturae Sinica, 2014, 23(6): 45-53.
[2]	LI Jin-hui,LU Xin,ZHOU Zhi-yu,ZHAO Ping,JIN Qian,ZHOU Yuan-yuan. Phosphorus contents in the rhizosphere and bulk soil under Amorpha fruticosa established in different years [J]. Acta Prataculturae Sinica, 2014, 23(6): 61-68.
[3]	YAN Zhong-qing,QI Yu-chun,DONG Yun-she,PENG Qin,SUN Liang-jie,JIA Jun-qiang,CAO Cong-cong,GUO Shu-fang,HE Yun-long. Nitrogen cycling in grassland ecosystems in response to climate change and human activities [J]. Acta Prataculturae Sinica, 2014, 23(6): 279-292.
[4]	YU Wen-chao,SONG Xiao-long,XIU Wei-ming,ZHANG Gui-long,ZHAO Jian-ning,YANG Dian-lin. Effects of additional nitrogen on litter decomposition in Stipa baicalensis grassland [J]. Acta Prataculturae Sinica, 2014, 23(5): 49-60.
[5]	MA Lin-ya,CUI Xia,FENG Qi-sheng,LIANG Tian-gang. Dynamic changes of grassland vegetation coverage from 2001 to 2011 in Gannan Prefecture [J]. Acta Prataculturae Sinica, 2014, 23(4): 1-9.
[6]	WANG Chong,LIN Hui-long,HE Lan,CAO Ao-cheng. Research on responses of Eupatorium adenophorum’s potential distribution to climate change [J]. Acta Prataculturae Sinica, 2014, 23(4): 20-30.
[7]	ZHANG Yu-xia,YAO Tuo,WANG Guo-ji,MA Wen-wen,MA Wen-bin. Characteristics of vegetation and soil inorganic nitrogen concentrations under different disturbed habitats in a weak alpine ecosystem [J]. Acta Prataculturae Sinica, 2014, 23(4): 245-252.
[8]	YANG Hong-fei,Gang Cheng-cheng,MU Shao-jie,ZHANG Chao-bin,ZHOU Wei,LI Jian-long. Analysis of the spatio-temporal variation in net primary productivity of grassland during the past 10 years in Xinjiang [J]. Acta Prataculturae Sinica, 2014, 23(3): 39-50.
[9]	GAO Ya,LIN Hui-long. The prospects for rangeland ecosystem services evaluation [J]. Acta Prataculturae Sinica, 2014, 23(3): 290-301.
[10]	CHANG Tao,WANG Han-qi,YANG Cheng-de,WANG Ying,YANG Xiao-li,XUE Li,CHEN Xiu-rong,XU Chang-lin. Identification and evaluation of biological control potential of B-401 endophytic bacteria in grasses on alpine grasslands [J]. Acta Prataculturae Sinica, 2014, 23(3): 282-289.
[11]	ZHANG Zhi-yong,JIAN Qiu,SONG Wen-cheng,SUN Xing,YANG Bang-bao. Residues of azoxystrobin in forages and soils [J]. Acta Prataculturae Sinica, 2014, 23(3): 356-361.
[12]	WANG Jian-lin, ZHONG Zhi-ming, WANG Zhong-hong, YU Cheng-qun, SHEN Zhen-xi, ZHANG Xian-zhou, HU Xing-xiang, Dacizhuoga. Soil C/P distribution characteristics of alpine steppe ecosystems in the Qinhai-Tibetan Plateau [J]. Acta Prataculturae Sinica, 2014, 23(2): 9-19.
[13]	PING Xiao-yan, LIN Chang-cun, BAI Yu, LIU Qi-tang, LU Xin-shi. The ecological effects of planting Apocynum venetum in the plain desert of the Altay Region, Xinjiang Province [J]. Acta Prataculturae Sinica, 2014, 23(2): 49-58.
[14]	LIU Ren-tao, ZHU Fan. Monthly changes of ground arthropods in artificial Caragana intermedia plantations in desert steppe [J]. Acta Prataculturae Sinica, 2014, 23(2): 296-304.
[15]	WANG Jing, ZHAO Meng-li, Willms W, HAN Guo-dong, GAO Xin-lei, WU Yu-shanhina). Productivity responses of different functional groups to litter removal in typical grassland of Inner Mongolia [J]. Acta Prataculturae Sinica, 2013, 22(6): 31-38.