| Simulation of maximum light use efficiency for some typical vegetation types in China |
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| 引用本文： | ZHU Wenquan PAN Yaozhong HE Hao YU Deyong HU Haibo. Simulation of maximum light use efficiency for some typical vegetation types in China[J]. 科学通报(英文版), 2006, 51(4): 457-463. DOI: 10.1007/s11434-006-0457-1 |
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| 作者姓名： | ZHU Wenquan PAN Yaozhong HE Hao YU Deyong HU Haibo |
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| 作者单位： | [1]Key Laboratory of Environmental Change and Natural Disaster ofMinistry of Education, College of Resources Science and Technology,Beijing Normal University, Beijing 100875, China [2]Institute of Urban Meteorology, China Meteorological Administration, Beijing 100089, China |
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| 摘 要： | MAXIMUM LIGHT USE EFFICIENCY(ΕMAX)IS THE USE RATE OF PHOTOSYNTHETICALLY ACTIVE RADIATION BY VEGETATION IN AN IDEAL CONDITION WITHOUT ANY CONSTRAINTS.IT IS A PHYSIOLOGICAL ATTRIBUTE OF PLANT ITSELF.THE VALUE OFΕMAX IS DIFFERENT FOR DIFFERENT VEGETATION TYPES[1―5].IT IS A KEY PARAMETER FOR THE ESTIMATION OF NET PRIMARY PRODUCTIVITY(NPP)DRIVEN WITH REMOTE SENSING DATA.THERE…
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| 关 键 词： | 植物生理学 植被类型 最大日光利用效率 遥感 净初级生产力 |
| 收稿时间： | 2005-09-15 |
| 修稿时间： | 2005-09-152005-12-11 |
Simulation of maximum light use efficiency for some typical vegetation types in China |
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| Wenquan Zhu,Yaozhong Pan,Hao He,Deyong Yu,Haibo Hu. Simulation of maximum light use efficiency for some typical vegetation types in China[J]. Chinese science bulletin, 2006, 51(4): 457-463. DOI: 10.1007/s11434-006-0457-1 |
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| Authors: | Wenquan Zhu Yaozhong Pan Hao He Deyong Yu Haibo Hu |
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| Affiliation: | (1) Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, College of Resources Science and Technology, Beijing Normal University, Beijing, 100875, China;(2) Institute of Urban Meteorology, China Meteorological Administration, Beijing, 100089, China |
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| Abstract: | Maximum light use efficiency (ε max) is a key parameter for the estimation of net primary productivity (NPP) derived from remote sensing data. There are still many divergences about its value for each vegetation type. The ε max for some typical vegetation types in China is simulated using a modified least squares function based on NOAA/AVHRR remote sensing data and field-observed NPP data. The vegetation classification accuracy is introduced to the process. The sensitivity analysis of ε max to vegetation classification accuracy is also conducted. The results show that the simulated values of ε max are greater than the value used in CASA model, and less than the values simulated with BIOME-BGC model. This is consistent with some other studies. The relative error of ε max resulting from classification accuracy is −5.5%–8.0%. This indicates that the simulated values of ε max are reliable and stable. |
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| Keywords: | light use efficiency remote sensing simulation NPP NDVI China |
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