植被光合有效辐射吸收分量及最大光能利用率算法的改进

doi:10.11686/cyxb20130526

草业学报 ›› 2013, Vol. 22 ›› Issue (5): 220-228.DOI: 10.11686/cyxb20130526

植被光合有效辐射吸收分量及最大光能利用率算法的改进

王保林^1,2,王晶杰²,杨勇²,常书娟²,陈喜梅²,刘爱军^1,2*

1.内蒙古民族大学农学院,内蒙古通辽 028043;
2.内蒙古草原勘察规划院,内蒙古呼和浩特 010051

出版日期:2013-10-20 发布日期:2013-10-20
通讯作者: E-mail:liuaj_81@163.com
作者简介:王保林(1982-),男,内蒙古乌兰察布人,在读硕士。
基金资助:
农业行业科研专项(200903060),林业行业科研专项(201204202),农业科技成果转化资金项目(2011A4010001)和基于高光谱遥感数据的典型草原冠层光合有效吸收分量的估算方法研究(2013MS0413)资助。

Algorithm improvements for two important parameters of FPAR and maximum solar energy utilization efficiency

WANG Bao-lin^1,2,WANG Jing-jie²,YANG Yong²,CHANG Shu-juan², CHEN Xi-mei², LIU Ai-jun^1,2

1.Agricultural College of Inner Mongolia Nationalities University, Tongliao 028043, China;
2.Inner Mongolia Institute of Grassland Survey and Planning, Hohhot 010051, China

Online:2013-10-20 Published:2013-10-20

摘要/Abstract

摘要： 植被冠层对入射光有效辐射的吸收系数 (FPAR) 和最大光能利用率是NPP模拟的重要参数。利用光量子仪实测了典型草原植被类型关键生育期光合有效辐射值,根据NDVI与FPAR之间的良好相关性,建立了2个FAPR估算模型。结果表明,实测的FPAR值与模型估算的FPAR之间的相关性均达到极显著水平,2个模型的估测值之间没有显著性差异。因此,本研究中采取求均值后计算了我国草原的FPAR,并与NASA-FPAR产品进行了嵌套和互补,形成全国完整的草原FPAR空间分布图。同时,基于归一化植被指数和叶面积指数,以中国草原18大类分类结果为基础单元,对中国草原18大类的最大光能利用率进行调整,调整后的最大光能利用率输入NPP模型后,改善了NPP估算精度,在大类尺度上,总体预测精度为85.71%。

Abstract: Photosynthetically active radiation and solar energy utilization efficiency are two of the most important parameters in NPP (net primary productivity) simulation. The solar effective radiation value of key phenological phases for typical steppe was tested using the light quantum instrument, and two models for FPAR (fraction of photosynthetically active radiation) estimation according to correlation between NDVI (normalized difference vegetation index) and FPAR were established. The correlations between measured and estimated FPAR values were significant, and there was no significant difference between the two groups value of model estimation. Therefore, mean values of estimated FPAR were calculated, and nested with NASA (national aeronautics and space administration)-FPAR products, to form a complete FPAR spatial distribution map of grassland in China. In addition, the study also adjusted maximum solar energy utilization efficiency of 18 categories of grassland in China based on normalized difference vegetation index (NDVI) and leaf area index (LAI). The result also showed that adjustment of maximum solar energy utilization efficiency could improve accuracy (85.71% at larger scale) of NPP estimation after inputting the NPP model.

中图分类号:

Q945.11

王保林,王晶杰,杨勇,常书娟,陈喜梅,刘爱军. 植被光合有效辐射吸收分量及最大光能利用率算法的改进[J]. 草业学报, 2013, 22(5): 220-228.

WANG Bao-lin,WANG Jing-jie,YANG Yong,CHANG Shu-juan, CHEN Xi-mei, LIU Ai-jun. Algorithm improvements for two important parameters of FPAR and maximum solar energy utilization efficiency[J]. Acta Prataculturae Sinica, 2013, 22(5): 220-228.

参考文献

Sellers P J, Meeson B W, Hall F G, et al. Remote sensing of the land surface for studies of global change: models-algorlthms-experiments. Remote Sensing of Environment, 1995, 51: 3-26.
周广胜, 张新时. 自然植被净第一性生产力模型初探. 植物生态学报, 1995, 19(3): 193-200.
朱文泉, 潘耀忠, 张锦水.中国陆地植被净初级生产力遥感估算. 植物生态学报, 2007, 31: 413-424.
Liu J, Chen J M, Cihlar J, et al. A process-based boreal ecosystem productivity simulator using remote sensing inputs. Remote Sensing of Environment, 1997, 62: 158-175.
Cramer W, Kicklighter D W, Bondeau A, et al. Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Global Changing Biology, 1999, (Suppl.1): 1-15.
张艳楠, 牛建明, 张庆, 等. 植被指数在典型草原生物量遥感估测应用中的问题探讨. 草业学报, 2012, 21(1): 229-238.
宋春桥, 游松财, 刘高焕, 等. 那曲地区草地植被时空格局与变化及其人文因素影响研究. 草业学报, 2012, 21(3):1-10.
丁越岿, 杨劼, 宋炳煜, 等. 不同植被类型对毛乌素沙地土壤有机碳的影响. 草业学报, 2012, 21(2):18-25.
朴世龙. 1982-1999年青藏高原植被净第一性生产力及其时空变化. 自然资源学报, 2002, 17(3):373-380.
周广胜, 张新时. 中国陆地生态系统对全球变化响应的实验和模拟研究. 植物学报, 1997, 39(9):879-888.
周广胜, 张新时. 全球气候变化的中国自然植被的净第一性生产力研究. 植物生态学报, 1996, 20(1):11-19.
Reich P B, Turner D P, Bolstad P. An approach to spatially distributed modeling of net primary production (NPP) at the landscape scale and its application in validation of EOS NPP products. Remote Sensing of Environment, 1999, 70: 69-81.
Myneni R B, Knyazikhin Y, Privette J L, et al. MODIS leaf area index (LAI) and fraction of photosynthetically active radiation absorbed by vegetation (FPAR) product (MOD15). Algorithm Theoretical Basis Document, 1999, (4): 1-14.
Fensholt R, Sandholt I, Rasmussen M S. Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment, 2004, 91: 490-507.
Steinberg D C, Goetz S J, Hyer E J. Validation of MODIS FPAR products in boreal forests of Alaska. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44: 1818-1827.
Eduardo R, Conde J R, Mínguez M I. Estimating fAPAR from nine vegetation indices for irrigated and nonirrigated faba bean and semileafless pea canopies. Remote Sensing of Environment, 1998, 66(1): 87-100.
Huemmrich K F, Goward S N. Vegetation canopy PAR absorptance and NADI: An assessment for ten tree species with the SAIL model. Remote Sensing of Environment, 1992, 39: 119-140.
Huemmrich K F, Privette J L, Mukelabai M, et al. Time-series validation of MODIS land biophysical products in a Kalahari woodland, Africa. International Journal of Remote Sensing, 2005, 26: 4381-4398.
Myneni R B, Ramakrishna R N, Running S W. Estimation of global leaf area index and absorbed par using radiative transfer models. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(6): 1380-1393.
Roujean J L, Breon F M. Estimating PAR absorbed by vegetation from bidirectional reflectance measurements. Remote Sensing of Environment, 1995, 51: 375-384.
Potter C S, Randerson J T. Terrestrial ecosystem production: A process model based on global satellite and surface data. Global Biogeochemical Cycles, 1993, 7(4): 811-841.
Running S W, Thormlon P E, Nemani R, et al. Global terrestrial gross and net primary productivity from the earth observing system. In: Sala O, Jackson R, Mooney H. Methods in Ecosystem Ecience. New York: Springer-Verlag, 2000: 44-57.
柳梅英, 包安明, 晨曦, 等. 近30年玛纳斯河流域土地利用/覆盖变化对植被碳储量的影响. 自然资源学报, 2010, (6): 926-938.
Zhu W Q, Zhong P Y, Hao H, et al. Simulation of maximum light use efficency for some typical vegetation types in China. Chinese Sciense Bulletin, 2006, 51(4): 457-463.
Ruimy A, Saugle B, Dedieu G. Methodology for the estimation of terrestrial net Primary Produetion from remotely sensed data. Journal of Geographical Research, 1994, 99(5): 263-283.
彭少麟, 郭志华, 王伯荪. 利用GIS和RS估算广东植被光能利用率. 生态学报, 2000, 20(6): 903-909.
Ruimy, Dedieu G, Saugier B. A diagnostic model of continental gross Primary Productivity and net Primary Productivity. Global Biogeochemical Cycles, 1996, 10: 269-285.

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植被光合有效辐射吸收分量及最大光能利用率算法的改进

Algorithm improvements for two important parameters of FPAR and maximum solar energy utilization efficiency

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