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应用生态学报 ›› 2016, Vol. 27 ›› Issue (4): 1203-1210.doi: 10.13287/j.1001-9332.201604.016

• 研究报告 • 上一篇    下一篇

2010—2012年北京植被光合有效辐射吸收比例的时空变化

谢军飞1,2,3*,郭佳3   

  1. 1中国科学院大气物理研究所, 北京 100029;
    2中国科学院大学, 北京 100049;
    3北京市园林科学研究院, 北京 100102
  • 收稿日期:2015-07-20 修回日期:2016-01-19 出版日期:2016-04-22 发布日期:2016-04-22
  • 通讯作者: xiejunfei@126.com
  • 作者简介:谢军飞,男,1976年生,博士研究生,高级工程师.主要从事园林生态评价研究. E-mail: xiejunfei@126.com
  • 基金资助:
    本文由国家科技支撑计划项目(2013BAJ02B01)和国家自然科学基金项目(51278056)

Spatial-temporal variation of fraction of absorbed photosynthetically active radiation (FPAR) in Beijing during 2010-2012.

XIE Jun-fei1,2,3*, GUO Jia3   

  1. 1Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
    2University of Chinese Academy of Sciences, Beijing 100049, China;
    3Beijing Institute of Landscape Architecture, Beijing 100102, China
  • Received:2015-07-20 Revised:2016-01-19 Online:2016-04-22 Published:2016-04-22
  • Supported by:
    This work was supported by the National Science & Technology Pillar Program (2013BAJ02B01) and the National Natural Science Foundation of China (51278056).2015-07-20 Received, 2016-01-19 Accepted.*

摘要: 利用MODIS产品中分辨率为1 km的光合有效辐射吸收比例(FPAR)数据,结合植被功能型分类,分析2010—2012年北京植被FPAR的空间分布特征,以及各种植被类型FPAR的多年变化,并进一步探讨了FPAR与叶面积指数(LAI)之间的相关性.结果表明: 研究期间,北京植被的FPAR空间分布均呈现出东北部、西南部高,并向中心城区逐渐递减的分布特征.通过FPAR的叠加分析还发现,各种植被类型FPAR年平均值的波动均较小,针叶树、阔叶树、草地、作物FPAR的年均值波动范围仅分别在0.42~0.44、0.38~0.39、0.32~0.33、0.21~0.22,但各种植被类型FPAR的年内变化范围均较大.各种植被类型的FPAR与LAI也具有较好的线性或对数关系.经过Timesat软件中的Savitzky-Golay平滑滤波后,各种植被类型FPAR的季节性变化特征更加明显.

Abstract: In this study, the spatial distribution of fraction of absorbed photosynthetically active radiation (FPAR) of vegetation in Beijing during 2010-2012 was analyzed based on the MODIS-FPAR data with a resolution of 1 km and the functional classification of vegetation. The yearly dynamics of FPAR of different vegetation types were also investigated. Furthermore, the correlation between FPAR and leaf area index (LAI) was explored. The results showed that, there was a spatially descended trend from the northeast mountains to the central urban area of Beijing. The annual average FPAR of different vegetation types changed little during 2010-2012. These values varied in the ranges of 0.42-0.44, 0.38-0.39, 0.32-0.33, and 0.21-0.22 for coniferous forest, broadleaf forest, grassland, and crop, respectively. However, the range of variation was big for each vegetation type within the year. There was significant linear or logarithm relationship between FPAR and LAI of each vegetation type. Additionally, the smooth time series of MODIS-FPAR of vegetation types could better reflect seasonal variation, which was generated by Savitzky-Golay filtering in software Timesat.