干旱生态系统净初级生产力估算及变化探测
收稿日期: 2005-06-12
修回日期: 2005-09-25
网络出版日期: 2006-01-25
基金资助
973国家重点基础研究发展规划项目(2002CB412507; G19990435); 国家自然科学基金重点项目 (90202002) 资助
Satellite Estimates and Change Detection of Net Primary Productivity of Oasis-Desert Based on Ecosystem Process with Remotely Sensed Forcing in Arid Western China
Received date: 2005-06-12
Revised date: 2005-09-25
Online published: 2006-01-25
Supported by
National "973" Project, No.2002CB412507; No.G19990435; National Natural Science Foundation of China, No.90202002
针对中国西部干旱区特有的气候-植被特征，利用卫星遥感混合像元分解技术对干旱区植被进行了光合作用植被和非光合作用植被区分和组分解析，尝试通过对干旱覆被植被灌层结构进行解析而解决因植被区系差异和环境背景干扰的问题，并参考国际上遥感—生态模型GLO-PEM和CASA，借助遥感生态反演的物理分析，初步构建起基于遥感与生态过程的干旱区适用的光能利用率模型NPP-PEM，并以中国西部干旱区喀什地区叶尔羌—喀什噶尔河流域山地—绿洲—荒漠生态系统为案例，利用AVHRR/NOAA气象卫星遥感数据和气候资料估算了1992年和1998年中国西部喀什地区叶尔羌-喀什噶尔河流域山地—绿洲—荒漠生态系统1 km分辨率年净第一性生产力，并进行了变化探测分析。模拟检验结果精度较好，生态系统碳吸收的空间异质性特征明显。结果表明，考虑了干旱植被生理特征和灌层结构的光能利用模型，模拟结果较为合理，也为引入其他生态模型应用到干旱区生态系统研究提供了借鉴，从而为干旱区陆地生态系统碳循环研究开辟了途径。
张杰, 潘晓玲, 高志强, 师庆东, 吕光辉 . 干旱生态系统净初级生产力估算及变化探测[J]. 地理学报, 2006 , 61(1) : 15 -25 . DOI: 10.11821/xb200601002
Arid and semi-arid ecosystems exhibit a spatially complex biogeophysical structure. According to arid western special climate-vegetation characters, the fractional cover of photosynthetic vegetation (PV), non-photosynthetic vegetation (NPV), bare soil and water are unmixed, using the remote sensing spectral mixture anaysis. We try the method to unmix the canopy funcation sturcture of arid land cover in order to avoid the differentiation of regional vegetation system and the disturbance of environmental background. We developed a modified production efficiency model NPP-PEM appropriate for the arid area at regional scale based on the concept of radiation use efficiency. The model referring to the GLO-PEM and CASA model was driven from remotely sensed observations. The model calculates not just the conversion efficiency of absorbed photosysnthetically active radiation but also the carbon fluxes that determine net primary productivity (NPP). We apply and validate the model in Kaxger and Yerkant river basins in arid western China. The NPP of the study area in 1992 and 1998 was estimated based on the NPP-PEM model. The results show that the improved PEM model, considering the photosysnthetical activation of heterogeneous functional vegetation, is in good agreement with field measurements and the existing literature. An accurate agreement (R2 = 0.85, P < 0.001) between estimates and ground-based measurement was obtained.
Key words： arid area; oasis; desert; spectral mixture analysis; net primary productivity; Kaxger
[1] Pan Xiaoling, Wang Xuecai, Lei Jiaqiang. Thoughts about the evolution and control of eco-environment in arid western china. Advance in Earth Sciences, 2001, 16(1): 24-27.
[潘晓玲, 王学才, 雷加强. 关于中国干旱区生态环境演变与调控研究的思考. 地球科学进展, 2001, 16(1): 24-27.]
[2] Pan Xiaoling, Chao Jiping. The effect of climate on development of ecosystem in oasis. Advance in Atmosphere Science, 2001, 18 (1): 42-53.
[3] Larcher W. Plant Ecology Science. Beijing: China Agricultural University Press, 1997.
[Larcher W. 植物生态生理学. 北京: 中国农业大学出版社, 1997.]
[4] Pan Xiaoling, Zeng Xubin, Zhang Jie et al. Interaction of evolution of ecological landscape pattern and climate change in Xinjiang. Journal of Xinjiang University (Natural Science Edition), 2004, 21(1): 1-7.
[潘晓玲, 曾旭斌, 张杰 等. 新疆生态景观格局演变及其与气候的相互作用. 新疆大学学报(自然科学版), 2004 , 21(1): 1-7.]
[5] Asner G P, Heidebrecht K B. Desertification alters regional ecosystem - climate interactions. Global Change Biology, 2005, 11(1): 182 -194.
[6] Huenneke L F, Anderson J P, Remmenga M et al. Desertification alters patterns of aboveground net primary production in Chihuahuan ecosystems. Global Change Biology, 2002, 8: 247-264.
[7] Schlesinger W H, Reynolds J F, Cunningham G L et al. Biological feedbacks in global desertification. Science, 1990, 247: 1043-1048.
[8] Field C B, Randerson J T, Malmstrm C M. Global net primary production: combining ecology and remote sensing. Remote Sensing of Environment, 1995, 51: 74-88.
[9] Liu Jiyuan. Macroscopical remote sensing investigation and dynamics study of national resources and environment. Journal of Remote Sensing, 1997, 1(3).
[刘纪远. 国家资源环境遥感宏观调查与动态研究. 遥感学报, 1997, 1(3).]
[10] Gao Zhiqiang, Liu Jiyuan, Cao Mingkui et al. Impact of land use and climate change on regional net primary productivity. Acta Geographica Sinica, 2004, 59(4): 581-591.
[高志强, 刘纪远, 曹明奎 等. 土地利用和气候变化对区域净初级生产力影响. 地理学报, 2004, 59(4): 581-591.]
[11] Prince S D. Satellite remote sensing of primary production: comparison of results from Sahelian grasslands 1981-1988. International Journal of Remote Sensing, 1991, 12: 1301-1311.
[12] 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 Biochemical Cycle, 1993, 7: 811-841.
[13] Goetz S J, Prince S D. Remote sensing of net primary production in boreal forest stands. Agricultural and Forest Meteorology, 1996, 78: 149-179.
[14] Monteith J L. Solar radiation and productivity in tropical ecosystems. Journal of Applied Ecology, 1972, 9:747-766.
[15] Monteith J L. Climate and efficiency of crop production in Britain. Phil. Trans. Royal Soc. London, B, 1977, 281: 277-294.
[16] Sun Rui, Zhu Qijiang. Net primary productivity of terrestrial vegetation: a review on related researches. Chinese Journal of Applied Ecology, 1999, 10(6): 757-760.
[孙睿, 朱启疆. 陆地植被净第一性生产力的研究. 应用生态学报, 1999, 10(6): 757-760.]
[17] Sun Rui, Zhu Qijiang. Study on net primary productivity and seasonal changes of terrestrial vegetation in China. Acta Geographica Sinica, 2000, 55 (1): 36-45.
[孙睿, 朱启疆. 中国陆地植被净第一性生产力及季节变化研究. 地理学报. 2000, 55 (1): 36-45.]
[18] Sun Rui, Zhu Qijiang. Primary study on the effect of climate change on net primary productivity of terrestrial vegetation in China. Journal of Remote Sensing, 2001, 5(1): 58-61.
[孙睿, 朱启疆. 气候变化对中国陆地植被净第一性生产力影响的初步研究. 遥感学报, 2001, 5(1): 58-61.]
[19] Running S W, Nemani R, Glassy J M. MOD17 PSN/NPP Algorithm Theoretical Basis Document, NASA. 1996.
[20] Prince S D. Global primary production: a remote sensing approach. Journal of Biogeography, 1995, 22: 316-336.
[21] Goetz S J, Prince S D. Variability in carbon exchange and light utilization among boreal forest stands: implications for remote sensing of net primary production. Canadian Journal of Forest Research, 1998, 28: 375-389.
[22] Goetz S J, Prince S D. Modeling terrestrial carbon exchange and storage: the evidence for and implications of functional convergence in light use efficiency. Advances in Ecological Research, 1999, 28: 57-92.
[23] Asner G P, Elmore A J, Olander L P et al. Grazing systems and global change. Annual Reviews of Environment and Resources, 2004, 29: 261-299.
[24] Asner G P, Lobell D B. A biogeophysical approach for automated SWIR unmixing of soils and vegetation. Remote Sensing of Environment, 2000, 74: 99-112.
[25] Asner G P, Heidebrecht K B. Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations. International Journal of Remote Sensing, 2002, 23: 3939-3958.
[26] Philip E D, Dar A R. Endmember selection for multiple endmember spectral mixture analysis using endmember average RMSE. Remote Sensing of Environment 2003, 87: 123-135.
[27] Steven M D, Biscoe P V, Jaggard K W. Estimation of sugar beet productivity from reflection in the red and infrared bands. International Journal of Remote Sensing, 1983, 4(2): 325-334.
[28] Tucker C J, Vanpraet C L, Boerwinkel E et al. Satellite remote sensing of total dry accumulation in the Senegalese Sahel. Remote Sensing of Environment, 1983, 13: 461-474.
[29] Prince S D, Tucker C J. Satellite remote sensing of rangelands in Bostwana. Part II: NOAA AVHRR and herbaceous vegetation. International Journal of Remote Sensing, 1986, 7(11): 1555-1570.
[30] Rouse J W, Haas J, Deering R H et al. Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation; NASA/GSFC Type III Final Report, Greenbelt, MD. 1974. 371-373.
[31] Goward S M, Huemmrich K E. Vegetation canopy PAR absorptions and the Normalized Different Vegetation Index: an assessment using the SAIL model. Remote Sensing of Environment, 1992, 39: 119-140.
[32] Colltaz G J, Ball J T. Physiological and environmental regulation of stomata conductance, photosynthesis and transpiration: a model that includes a laminar boundary layer. Agriculture Forest Meteorology, 1991, 54: 107-136.
[33] Zhang Renhua. Models of Experimental Remote Sensing and Land Surface Base. Beijing: Science Press, 1996.
[张仁华. 实验遥感模型与地面基础. 北京: 科学出版社, 1996.]
[34] Runyon J, Waring R H, Goward S N et al. Enivronmental limits on net primary productivity and light-use efficient across the Oregon transect. Ecological Application, 1993, 4: 226-237.
[35] Goetz S J, Prince S D, Goward S N et al. Mapping net primary production and related biophysical variables with remote sensing: application to the BOREAS region. Journal of Geophysical Research, 1999, 104(22): 27719-27733.
[36] Zhou Guangsheng, Zhang Xinshi. Climate-vegetation classification of China under global climate change. Acta Botanica Sinica, 1996, 38(1): 8-17.
[周广胜, 张新时. 全球气候变化的中国气候-植被分类研究. 植物学报, 1996, 38(1): 8-17.]
[37] Zhang Xinshi. PE indices of vegetation and climate-vegetation classification (II). Journal of Plant Ecology and Geographical Plant, 1989, 13(3): 197-207.
[张新时. 植被的PE指标与植被-气候分类 (二). 植物生态学与地植物学学报, 1989, 13(3): 197-207.]
[38] Thornthwaite C W. An approach toward rational classification of climate. Geographic Review, 1948, 38: 55-94.
[39] Leemans R, Cramer W P. The IIASA database for mean monthly values of temperature, precipitation, and cloudiness on a global terrestrial grid: international institute for applied systems analysis, Luxemburg, Austria, 1991, 62-63.
[40] Chen L J, Liu G H, Feng X. Estimating net primary productivity of terrestrial vegetation in China using remote sensing. Acta Botanica Sinica, 2001, 43(11): 1191-1198.
[41] Guo Ke. Flora composition and distribution characters of vegetation in Karakorum-Kunlun Mountains. Acta Phytoecologca Sinica, 1997, 21(2): 105-114.
[郭柯. 喀喇昆仑山-昆仑山植物区系组成与分布特点. 植物生态学报, 1997, 21(2): 105-114.]
[42] Li Shiying. The characters, formation of vegetation and the relationship with drying in the northern bajada of Kunlun Mountain. Acta Botanica Sinica, 1960, 9(1): 16-31.
[李世英. 昆仑山北坡植被的特点、形成及其与旱化的关系. 植物学报, 1960, 9(1): 16-31.]
[43] Li Shiying. Vegetation and Its Utilization in Xinjiang. Beijing: Science Press, 1978.
[李世英. 新疆植被及其利用. 北京: 科学出版社, 1978.]
[44] Running S W, Thornton P E, Nemani R et al. Global terrestrial gross and net primary productivity from the earth observing system. In: Sala O R, Jackson and Springer Verlag, 2000. 44-57.
[45] Chen Binghao, Li Huqun. Study on the biomass of natural Populus diversifolia forest in the middle reaches of the Tarim River. Xinjiang Forestry Science and Technology, 1984, 3: 8-16.
[陈炳浩, 李护群. 新疆塔里木河中游胡杨天然林生物量的研究. 新疆林业科技, 1984, 3: 8-16.]
[46] http://159.226.111.50/gxiang/index.asp?name=datashare&pass=datashare.
[47] http://www.daac.ornl.gov/NPP/npp_home.html.
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