1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; 2. Institure of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China; 3. Xiamen University of Technology, Xiamen 361024, China
Abstract：Integrating remote sensing data, meteorological data and other multi-source auxiliary data, the vegetation net primary productivity (NPP) spatial and temporal pattern in Beijing and its main influence factors were analyzed based on carnegie-ames-stanford approach(CASA) model in 2010. The results showed that: 1 The total amount of NPP was 5.5 TgC, and the vegetation NPP spatial distribution pattern showed that the NPP in northern and western mountainous areas was higher, while the NPP in plain area was lower. 2 The seasonal vegetation NPP in Beijing changed significantly. The NPP in summer was the largest, accounting for 62% of the NPP in the whole year. The smallest was in winter, accounted for only 3%, and the NPP in spring and autumn respectively accounted for 18% and 17% of the total NPP. 3 The vegetation NPP was limited by water and heat conditions. However, the main limiting factor was different in different areas. The natural vegetation in the northern and western mountainous areas was more affected by the temperature, while the crops in plain area were more easily affected by the precipitation. And the vegetation in the transition area from mountains to the plain was more affected by the solar radiation.
尹锴, 田亦陈, 袁超, 张飞飞, 苑全治, 花利忠. 基于CASA模型的北京植被NPP时空格局及其因子解释[J]. 国土资源遥感, 2015, 27(1): 133-139.
YIN Kai, TIAN Yichen, YUAN Chao, ZHANG Feifei, YUAN Quanzhi, HUA Lizhong. NPP spatial and temporal pattern of vegetation in Beijing and its factor explanation based on CASA model. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 133-139.
[1] Lieth H.Modeling the Primary Productivity of the World[M]//Primary Productivity of the Biosphere.Berlin Heidelberg:Springer,1975,237-263. [2] Fang J,Piao S,Tang Z,et al.Interannual variability in net primary production and precipitation[J].Science,2001,293(5536):1723. [3] 侯英雨,柳钦火,延昊,等. 我国陆地植被净初级生产力变化规律及其对气候的响应[J].应用生态学报,2007,18(7):1546- 1553. Hou Y Y,Liu Q H,Yan H,et al.Variation trends of China terrestrial vegetation net primary productivity and its responses to climate factors in 1982-2000[J].Chinese Journal of Applied Ecology,2007,18(7):1546-1553. [4] 刘玉安,黄波,易成功,等.基于地形校正的植被净初级生产力遥感模拟及分析[J].农业工程学报,2013(13):130-141. Liu Y A,Huang B,Yi C G,et al.Simulation by remote sensing and analysis of net primary productivity of vegetation based on topographical correction[J].Journal of Agricultural Engineering,2013(13):130-141. [5] 王李娟,牛铮,旷达.基于MODIS数据的2002—2006年中国陆地NPP分析[J].国土资源遥感,2010,22(4):113-116. Wang L J,Niu Z, Kuang D.An analysis of the terrestrial NPP from 2002 to 2006 in China based on MODIS data[J].Remote Sensing for Land and Resources,2010,22(4):113-116. [6] Vitousek P M,Ehrlich P R,Ehrlich A H,et al.Human appropriation of the products of photosynthesis[J].Bioscience,1986,36(6):368-373. [7] Steffen W,Noble I,Canadell J,et al.The terrestrial carbon cycle:Implications for the Kyoto Protocol[J].Science,1998,280(5368):1393-1394. [8] Prentice I C,Cramer W,Harrison S P,et al.Special paper:A global biome model based on plant physiology and dominance,soil properties and climate[J].Journal of Biogeography,1992,19(2):117-134. [9] Woodward F I,Smith T M,Emanuel W R.A global land primary productivity and phytogeography model[J].Global Biogeochemical Cycles,1995,9(4):471-490. [10] Foley J A,Prentice I C,Ramankutty N,et al.An integrated biosphere model of land surface processes,terrestrial carbon balance,and vegetation dynamics[J].Global Biogeochemical Cycles,1996,10(4):603-628. [11] Potter C S,Randerson J T,Field C B,et al.Terrestrial ecosystem production:A process model based on global satellite and surface data[J].Global Biogeochemical Cycles,1993,7(4):811-841. [12] Goetz S J,Prince S D,Goward S N,et al.Satellite remote sensing of primary production:An improved production efficiency modeling approach[J].Ecological Modelling,1999,122(3):239-255. [13] Xu T,Hutchinson M.Anuclim version 6.1 user guide[J].Canberra, The Australian National University Fenner School of Environment and Society,2011:90. [14] 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[J].植物生态学报,2007,31(3):413-424. Zhang W Q,Pan Y Z,Zhang J S.Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing[J].Chinese Journal of Plant Ecology,2007,31(3):413-424. [15] Ni J,Zhang X S,Scurlock J M O.NPP multi-biome:Chinese forests data, 1989—1994.Available on-line[EB/OL].[2013-10- 16].http://www.daac.ornl.gov. [16] Prince S D,Justice C O.Coarse resolution remote sensing of the Sahelian environment[J].International Journal of Remote Sensing,1991,12(3):1133-1421. [17] 刘芳,迟耀斌,王智勇,等.NPP列入生态统计指标体系的潜力分析——以北京地区NPP测算与空间分析为例[J].生态环境学报,2009,18(3):960-966. Liu F,Chi Y B,Wang Z Y,et al.Potential analysis on NPP included as ecological statistical indicators:Taking Beijing vegetation net primary productivity measurement and spatial analysis as an example[J].Ecology and Environmental Sciences,2009,18(3):960-966.
2015, Vol. 27 
