资源科学 ›› 2017, Vol. 39 ›› Issue (3): 545-556.doi: 10.18402/resci.2017.03.16

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基于多种回归分析方法的西北干旱区植被NPP遥感反演研究

焦伟1,2(), 陈亚宁1(), 李稚1, 李玉朋1,2, 黄晓然1,2, 李海霞1,2   

  1. 1. 中国科学院新疆生态与地理研究所 荒漠与绿洲生态国家重点实验室,乌鲁木齐 830011
    2. 中国科学院大学,北京 100049
  • 收稿日期:2016-08-22 修回日期:2017-01-18 出版日期:2017-03-20 发布日期:2017-03-20
  • 作者简介:

    作者简介:焦伟,女,山东泰安人,硕士生,主要从事生态水文方面的研究。E-mail:jiaoweisdnu@163.com

  • 基金资助:
    新疆维吾尔自治区自然科学基金(2015211A048)

Inversion of net primary productivity in the arid region of Northwest China based on various regressions

Wei JIAO1,2(), Yaning CHEN1(), Zhi LI1, Yupeng LI1,2, Xiaoran HUANG1,2, Haixia LI1,2   

  1. 1. State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China
    2. University of Chinese Academy of Sciences,Beijing 100049,China
  • Received:2016-08-22 Revised:2017-01-18 Online:2017-03-20 Published:2017-03-20

摘要:

植被净初级生产力(Net Primary Productivity,NPP)是评价陆地生态系统的重要参数,植被NPP的反演为全球碳循环的研究提供了重要的参考依据。本文基于2000-2014年的MODIS及气象站点数据,引入逐步线性回归、主成分回归、偏最小二乘回归以及岭回归分析,构建了多元逐步回归模型、主成分回归模型、偏最小二乘回归模型和岭回归模型,并对这4种模型进行了评估。结果表明:①多元逐步回归模型被认为是一种可以简单、高效、准确地反演西北干旱区植被NPP的模型,且模拟结果与MOD17A3产品及实测值具有很强的相关性;②西北干旱区多年平均植被NPP的分布具有明显的区域差异,山区增加,平原区减少,呈现出北部及西北部高,而南部及东南部低的特征;③西北干旱区NPP在年际变化上呈波动增加趋势,线性增长率为0.40gC/(m·a)。自2000年以来,58.66%区域的NPP呈现增长趋势,13.64%的地区保持不变,27.7%的地区表现为退化趋势。

关键词: 净初级生产力, 逐步多元回归, 主成分回归, 偏最小二乘回归, 岭回归, 西北地区

Abstract:

Vegetation Net Primary Productivity(NPP)is an important parameter when evaluating terrestrial ecosystems and provides a significant reference for research into global carbon cycles. Based on MODIS data and meteorological station data from 2000 to 2014,we used multi-stepwise regression,principal components regression,partial least-squares regression and ridge regression and estimated vegetation NPP and temporal-spatial distribution patterns in the arid region of Northwest China. We found that the multi-stepwise regression model was superior and the model simulation results were coordinated with measured values in the spatial distribution. A multi-stepwise regression model can be used to retrieve NPP in arid and semi-arid areas and reflects vegetation growth and distribution in the study area. There were obvious regional differences in NPP distribution in the arid region of Northwest China; vegetation NPP in the mountains was increased and decreased in the plains. High values were found in the north,northwest and southeast of the arid region and low values in the south and southeast. At an annual scale,NPP in Northwest China slightly increased from 2000 to 2014 at a rate of 0.40 gC/(m2·a). Trends in annual vege-tation NPP are different among areas,vegetation NPP in 58.66% areas increased,13.64% of areas remained relatively stable,and 27.7% of areas slightly decreased from 2000.

Key words: net primary productivity, multi-stepwise regression, principal components regression, partial least-squares regression, ridge regression, Northwest China