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中国沙漠 ›› 2014, Vol. 34 ›› Issue (6): 1657-1664.DOI: 10.7522/j.issn.1000-694X.2014.00097

• 生态与经济 • 上一篇    下一篇

黑河流域NPP遥感估算及其时空变化特征

张福平1,2, 冯起2, 李旭谱1, 魏永芬3   

  1. 1. 陕西师范大学 旅游与环境学院, 陕西 西安 710062;
    2. 中国科学院寒区旱区环境与工程研究所, 甘肃 兰州 730000;
    3. 日本国立岐阜大学 流域圈科学研究中心, 日本 岐阜 501-1193
  • 收稿日期:2014-04-14 修回日期:2014-06-20 出版日期:2014-11-20 发布日期:2014-11-20
  • 作者简介:张福平(1973- ),男,山西吕梁人,博士,副教授,主要研究方向为资源环境遥感与GIS应用.Email:zhang_fuping@163.com
  • 基金资助:
    陕西省“百人计划”项目;国家科技支撑计划项目(2012BAC08B07);中国博士后科学基金项目(2011M501496);陕西师范大学中央高校基本科研业务费专项(GK201101002)资助

Remotely-sensed Estimation of NPP and Its Spatial-temporal Characteristics in the Heihe River Basin

Zhang Fuping1,2, Feng Qi2, Li Xupu1, Wei Yongfeng3   

  1. 1. College of Tourism and Environment, Shaanxi Normal University, Xi'an 710062, China;
    2. Cold and Arid Regions Environment and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China;
    3. River Basin Research Center, Gifu University, Gifu 501-1193, Japan
  • Received:2014-04-14 Revised:2014-06-20 Online:2014-11-20 Published:2014-11-20

摘要: 植被的净初级生产力(NPP)是研究陆地各种生态过程的关键参数,对区域NPP的研究有利于人类对自然资源的管理和有效利用.本研究使用气象和遥感等数据,应用修正的CASA模型及其他数理统计方法对黑河流域1999—2010年的NPP进行估算,并对其时空变化特征进行了分析.结果显示:在1999—2010年,黑河流域的年NPP总量以3×1011 g·a-1的趋势增加;该流域NPP空间分布总体上为南多北少、河流两旁及绿洲地区多于其他地区;各类型中,草地生态系统累计的NPP最多;黑河上游NPP量与太阳辐射和降水量呈正相关关系,与年均气温呈负相关关系,上游地区水分和太阳总辐射量因子共同制约着流域的NPP量;中游地区年平均NPP与年平均气温呈负相关,与年总降水量呈正相关,与年总太阳辐射量呈微弱负相关,水分因子制约着植被NPP的生产;黑河流域下游地区植被NPP的年均累积生产量与年平均气温呈正相关,与年总降水量呈负相关,而与年总太阳辐射量无明显相关性,气温是下游植被NPP生产的制约因素.

关键词: 黑河流域, NPP, 遥感, CASA模型

Abstract: The net primary production of vegetation (NPP) is a main parameter for assessing ecological processes of ecosystem. Research of regional NPP is conducive to manage and utilize effectively natural resources. In this paper, NPP in the Heihe River Basin was estimated with modified CASA model based on remote sensing data and meteorological data from 1999 to 2010. Moreover, spatial-temporal characteristics of the estimated NPP were analyzed. As results, an annual growth rate of the NPP was estimated to be 3×1011 g·5a-1 in the basin from 1999 to 2000. Spatially, the estimated NPP on the south side of the river was more than that on the north side, and the NPP on both sides of the river and nearby the oasis area were higher as compared to other areas. Among all types of land use, the NPP of the grassland was at the highest level. It is also clarified that the NPP estimated in the upstream area was positively correlated with solar radiation and precipitation, but negatively with average temperature. For middle areas, the NPP was respectively negatively and weakly negatively correlated with the average temperature and solar radiation but positively correlated with precipitation. On the other hand in the downstream area, the estimated NPP was positively correlated with the average temperature but negatively with precipitation, and the correlation with the solar radiation is not significant.

Key words: Heihe River, NPP, remote sensing, CASA model

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