湖北农业科学 ›› 2022, Vol. 61 ›› Issue (9): 48-55.doi: 10.14088/j.cnki.issn0439-8114.2022.09.009

• 资源·环境 • 上一篇    下一篇

津巴布韦近20年植被覆盖度时空动态变化特征研究

董明霞1,2, 王立辉1, 王坎3, 杨启池1,2, 路利杰1,2, 黄进良1   

  1. 1.中国科学院精密测量科学与技术创新研究院/环境与灾害监测评估湖北省重点实验室,武汉 430077;
    2.中国科学院大学,北京 100049;
    3.中南安全环境技术研究院股份有限公司,武汉 430071
  • 收稿日期:2021-04-15 出版日期:2022-05-10 发布日期:2022-05-26
  • 通讯作者: 王立辉(1985-),男,河北承德人,副研究员,主要从事土地覆被与环境遥感,(电子信箱)wanglihui@apm.ac.cn。
  • 作者简介:董明霞(1996-),女,浙江嘉兴人,在读硕士研究生,主要从事3S技术在资源环境中的应用,(电话)15712610566(电子信箱)544162761@qq.com。
  • 基金资助:
    国家自然科学基金资助项目(51809250); 中国科学院战略性先导科技A类专项(XDA2003030201); 湖北省自然科学基金创新群体项目(2019CFA019)

Analysis on dynamic characteristics of spatio-temporal variations of vegetation coverage in Zimbabwe in recent 20 years

DONG Ming-xia1,2, WANG Li-hui1, WANG Kan3, YANG Qi-chi1,2, LU Li-jie1,2, HUANG Jin-liang1   

  1. 1. Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences/Key Laboratory for Environment and Disaster Monitoring and Evalution, Wuhan 430077, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Central-Southern Safety & Environment Technology Institute Co., Ltd., Wuhan 430071, China
  • Received:2021-04-15 Online:2022-05-10 Published:2022-05-26

摘要: 植被覆盖度是反映生态环境的重要指标,津巴布韦是中国“一带一路”上重要合作伙伴,对津巴布韦植被覆盖度进行监测对区域内生态环境经济建设具有重要意义。基于MODIS NDVI数据,采用像元二分法、趋势分析、Hurst指数等方法从时空角度分析了津巴布韦近20年植被覆盖度动态变化特征。结果表明,总体上津巴布韦植被覆盖度较高;2001—2009年、2015—2017年植被覆盖度呈波动上升趋势,2009—2015年、2017—2019年呈现波动下降趋势;从空间上,存在明显的区域差异性,植被覆盖度北部高,西南和中部地区低。津巴布韦植被覆盖度变化趋势主要以不显著变化为主(占81.70%),11.52%的地区呈增加趋势,6.78%的地区呈减少趋势。津巴布韦地区植被覆盖度反向持续性强于正向持续性,增加趋势占7.44%,减少趋势占9.69%。津巴布韦植被覆盖度受降水量、气温共同影响,主要受降水量因素的影响。植被覆盖度受夜间灯光数据影响,呈负相关区域主要在哈拉雷和布拉瓦约,正相关区域主要在马邵纳兰省。

关键词: 植被覆盖度, 时空变化, 驱动因子, 夜间灯光, 津巴布韦

Abstract: Vegetation coverage is an important parameter that reflects ecological environment. Zimbabwe is one of the most important partners in the Belt and Road, and the observation of vegetation coverage is of great significance to the regional ecological environment and economic construction. With the adoption of MODIS NDVI data, the dimidiate pixel model, one element linear regression, and Hurst index method were used to analyze and predict the changes of vegetation coverage in Zimbabwe from 2001 to 2019. The results showed that the vegetation coverage in Zimbabwe was favorable. Vegetation coverage increased in 2001—2009, 2015—2017, and then it decreased in 2009—2015, 2017—2019; From the distribution of vegetation coverage, it showed obvious regional differentiation characteristics, the vegetation coverage of the north region occupied a larger proportion than the southwest and middle region. The mainly spatial trends were insignificant, the areas accounted for 81.70%, while the areas of increase were 11.52%, and 6.78% of the vegetation covered areas were decreased. The result of the linear regression and Hurst index method indicated that the status was a negative sustainable development. 7.44% of the vegetation covered areas were increased, and the areas with a decrease were occupied 9.69%. The precipitation and temperature were considerably positively correlated with the vegetation coverage, the precipitation was the main factor for variation of vegetation coverage in Zimbabwe. Vegetation coverage was correlated with nighttime light, the mainly negative correlation regions were Harare and Bulawayo, and the mainly positive correlation region was Matabeleland.

Key words: vegetation coverage, variation, driving factor, nighttime light, Zimbabwe

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