植物生态学报 ›› 2024, Vol. 48 ›› Issue (3): 306-316.DOI: 10.17521/cjpe.2023.0134

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气候变化和人类活动对内蒙古植被总初级生产力的定量影响分析

杨宇萌,来全,刘心怡   

  1. 内蒙古师范大学
  • 收稿日期:2023-05-14 修回日期:2023-07-13 出版日期:2024-03-20 发布日期:2024-02-28
  • 通讯作者: 来全

Quantitative analysis of climate change and human activities on vegetation GPP in Inner Mongolia

Yu-Meng Yang,Quan Lai,Xin-Yi Liu   

  1. Inner Mongolia Normal University
  • Received:2023-05-14 Revised:2023-07-13 Online:2024-03-20 Published:2024-02-28
  • Contact: Quan Lai

摘要: 内蒙古自治区作为我国北方重要的生态安全屏障, 研究其植被变化对北方地区的生态安全意义重大。该文基于1982–2017年内蒙古地区的涡流协方差-光利用效率模型反演的植被总初级生产力(EC-LUE GPP)等多源遥感数据, 利用趋势分析和相关性分析法, 分析了内蒙古地区植被GPP的时空变化特征及其与气温、降水和土壤湿度的相关性。在此基础上, 采用多元线性回归和残差分析方法, 分解并量化气候变化和人类活动影响下的GPP,分不同时间段开展了其对植被GPP影响的分析, 探索不同植被类型GPP对驱动因素的响应。主要结果有: (1)三种气象要素与植被GPP表现出良好的相关性, 其中降水和土壤湿度与GPP的相关性更高; (2)1982-1990年期间植被GPP呈现不显著波动上升,年平均增长量达到1.8333 g C·m–2·a–1,其余3个时间段(1991-2000、2001-2010、2011-2017)呈不显著波动下降趋势,年平均减少量分别为1.2967 g C·m–2·a–1、0.2356 g C·m–2·a–1、3.6589 g C·m–2·a–1,整体上呈下降趋势的区域占总面积的55%, 另外45%的区域呈显著上升趋势; (3)除2001-2010年期间外,其他3个时间段内(1982-1990、1991-2000、2011-2017)气候变化对植被恢复起决定性作用, 分别对植被恢复解释20%、16%、13%; 人类活动在植被退化区占主导地位, 分别对植被退化解释13%、19%、20%。研究结果可为内蒙古生态环境保护与管理政策的实施, 绿色可持续发展提供科学参考。

关键词: 气候变化, 人类活动, 总初级生产力, 残差分析, 内蒙古

Abstract: Aims Nei Mongol is an important ecological security barrier in northern China, and the study of changes in its vegetation productivity is of great significance to the ecological security of the northern region. Methods Based on multi-source remote sensing data such as Eddy Covariance-Light Use Efficiency Gross Pri-mary Productivity (EC-LUE GPP) in Nei Mongol from 1982 to 2017, this paper uses trend analysis and correlation analysis to analyze the temporal and spatial variation characteristics of vegetation gross primary production (GPP) in Nei Mongol and its correlation with air temperature, precipitation and soil moisture. On this basis, multiple linear regression and residual analysis methods were used to decompose and quantify GPP under the influence of climate changes and human activities, divide different time periods to carry out its impact on vegetation GPP, and explore the impact of different vegetation types on the driving factors response. Important findings (1)Three meteorological elements showed good correlation with vegetation GPP, among which precipitation and soil moisture had higher correlations with GPP. (2)During the period 1982-1990, vegeta-tion GPP showed an insignificant fluctuation and increased, with an average annual increase of 1.8333 g C·m–2·a–1, and the remaining three time periods (1991-2000、2001-2010、2011-2017) showed an insignificant downward trend, with annual average decreases of 1.2967 g C·m–2·a–1、-0.2356 g C·m–2·a–1、3.6589 g C·m–2·a– 1. The areas with an overall downward trend accounted for 55% of the total area, and the other 45% showed a significant upward trend; (3)Except for the period from 2001 to 2010, climate changes played a decisive role in vegetation restoration in the other three time periods (1982-1990, 1991-2000, and 2011-2017), explaining 20%, 16% and 13% of veg-etation restoration, respectively; Human activities dominated vegetation degradation areas, with 13%, 19% and 20% explaining vegetation degradation, respectively. The research results can provide scientific reference for the implementation of ecological environmental protection and management policies and green and sustainable de-velopment in Nei Mongol.

Key words: climate changes, human activities, gross primary productivity, residual analysis, Nei Mongol