长江科学院院报 ›› 2023, Vol. 40 ›› Issue (7): 66-72.DOI: 10.11988/ckyyb.20220164

• 水土保持与生态修复 • 上一篇    下一篇

基于MOD17A3的京津冀地区植被净初级生产力时空演变

郭豪1,2,3, 袁金国1,2,3, 王景芝1,2,3, 王晓昕1,2,3, 李艳翠1,2,3, 刘博涵1,2,3   

  1. 1.河北师范大学 地理科学学院,石家庄 050024;
    2.河北师范大学 河北省环境变化遥感识别技术创新中心,石家庄 050024;
    3.河北师范大学 河北省环境演变与生态建设省级重点实验室,石家庄 050024
  • 收稿日期:2022-02-25 修回日期:2022-04-10 出版日期:2023-07-01 发布日期:2023-07-12
  • 通讯作者: 袁金国(1972-),女,河北故城人,副教授,博士,硕士生导师,主要从事遥感信息处理及遥感应用方面的研究。E-mail:yuanjinguo8@163.com
  • 作者简介:郭 豪(1995-),男,河南周口人,硕士研究生,研究方向为遥感信息处理及遥感应用研究。E-mail:gh20201105@163.com
  • 基金资助:
    国家重点研发计划项目(2016YFD0801005);河北师范大学科研基金项目(130539)

Spatio-temporal Evolution of Net Primary Productivity in Beijing-Tianjin-Hebei Region Based on MOD17A3 Data

GUO Hao1,2,3, YUAN Jin-guo1,2,3, WANG Jing-zhi1,2,3, WANG Xiao-xin1,2,3, LI Yan-cui1,2,3, LIU Bo-han1,2,3   

  1. 1. School of Geographical Sciences,Hebei Normal University,Shijiazhuang 050024,China;
    2. Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Changes,Hebei Normal University, Shijiazhuang 050024,China;
    3. Hebei Provincial Key Laboratory of Environmental Evolution and Ecological Construction, Hebei Normal University, Shijiazhuang 050024,China
  • Received:2022-02-25 Revised:2022-04-10 Online:2023-07-01 Published:2023-07-12

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摘要： 为研究京津冀植被NPP的时空变化,选用MOD17A3数据,采用一元线性回归分析对京津冀地区2000—2019年植被NPP在20 a间的时空演变进行分析,并对NPP与气候因子的相关关系进行分析。结果表明:京津冀地区植被NPP主要集中在200~400 gC/(m2·a),2000—2019年京津冀植被NPP平均值和最大值在稳定的基础上缓慢上升,其中NPP最大值和平均值的峰值都出现在2016年,分别为908.40 gC/(m2·a)和385.10 gC/(m2·a);2000—2019年京津冀植被NPP增长的区域占整个研究区域的97.12%,NPP降低的区域多出现在城市周围;2000—2019年京津冀地区4种植被覆盖类型按NPP均值从小到大排列依次为:农田、灌丛、草地、森林;从稳定性上看,2000—2019年京津冀NPP的稳定性表现为高低波动并存,并以较低波动为主;京津冀地区NPP与年均气温呈低度相关性,与年降水呈高度相关性。研究成果可为京津冀地区的生态文明建设、生态环境修复及治理保护提供参考依据。

关键词: 净初级生产力(NPP), 时空演变, MOD17A3数据, 一元线性回归, 相关性分析, 京津冀地区

Abstract: This study explores the spatio-temporal changes in vegetation net primary productivity (NPP) across the Beijing-Tianjin-Hebei region based on MOD17A3 data. Univariate linear regression method was employed to analyze the temporal and spatial evolution of vegetation NPP in 20 years (2000-2019). Additionally, this study analyzed the correlation between NPP and climate factors. The results show that vegetation NPP in the Beijing-Tianjin-Hebei region mainly falls within the range of 200-400 gC/(m2·a). The mean and maximum values of NPP exhibited gradual increase from 2000 to 2019, with a peak in both mean and maximum values occurring in 2016 at 385.10 gC/(m2·a) and 908.40 gC/(m2·a), respectively. The area with significantly increased NPP in the region from 2000 to 2019 was found to account for 97.12% of the study area, while the area with NPP decrease mainly occurring in areas surrounding urban centers. Furthermore, the four types of vegetation cover in the region ranking from smallest to largest in terms of NPP mean were as follows: cropland, shrub, grassland, and forest. The study also found that from 2000 to 2019, the stability of NPP in the region was characterized by high-low fluctuations, with lower fluctuations being dominant. Finally, NPP was found to be lowly correlated with the average annual temperature and highly correlated with annual precipitation. The findings can serve as reference for ecological civilization construction, ecological environmental restoration, and management and protection in Beijing-Tianjin-Hebei region.

Key words: net primary productivity (NPP), temporal and spatial evolution, MOD17A3 data, univariate linear regression, correlation analysis, Beijing-Tianjin-Hebei Region

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