草地学报 ›› 2024, Vol. 32 ›› Issue (6): 1923-1935.DOI: 10.11733/j.issn.1007-0435.2024.06.028

• 研究论文 • 上一篇    

黄河上游龙羊峡至积石峡段流域植被对气候变化的响应

吕伟涛1, 胡夏嵩1, 刘昌义1, 付江涛2, 邢光延3, 赵吉美3, 卢海静3   

  1. 1. 青海大学地质工程学院, 青海 西宁 810016;
    2. 青海大学农林科学院, 青海 西宁 810016;
    3. 青海大学农牧学院, 青海 西宁 810016
  • 收稿日期:2023-10-18 修回日期:2023-12-23 发布日期:2024-06-29
  • 通讯作者: 胡夏嵩,E-mail:huxiasong01@163.com
  • 作者简介:吕伟涛(1999-),男,汉族,浙江金华人,硕士研究生,主要从事遥感与地理信息系统等方面研究,E-mail:1055541638@qq.com
  • 基金资助:
    国家自然科学基金资助项目(42041006);青海省自然科学基金资助项目(2020-ZJ-906)资助

Response of Vegetation to Climate Change Along the Longyang Gorge and Jishi Gorge in the Upper Yellow River

LYU Wei-tao1, HU Xia-song1, LIU Chang-yi1, FU Jiang-tao2, XING Guang-yan3, ZHAO Ji-mei3, LU Hai-jing3   

  1. 1. School of Geological Engineering, Qinghai University, Xining, Qinghai Province 810016, China;
    2. Academy of Agriculture and Forestry, Qinghai University, Xining, Qinghai Province 810016, China;
    3. College of Agriculture and Animal Husbandry, Qinghai University, Xining, Qinghai Province 810016, China
  • Received:2023-10-18 Revised:2023-12-23 Published:2024-06-29

摘要: 为探讨气候变化和区域人类活动对黄河上游龙羊峡至积石峡段流域植被(Normalized difference vegetation index,NDVI)的影响,本研究以位于黄河上游龙羊峡至积石峡段流域为研究区,基于MODI3Q1数据集,采用Theil Sen斜率统计法、Mann-Kendall检验及相关分析法等6种方法,评价了区内2004—2021年间NDVI的时空变化特征,并探讨了NDVI与平均气温、降雨量、蒸发量、太阳辐射量间的相关性及其驱动力。结果表明:2004—2021年间区内81.66%地区的NDVI总体呈现出逐渐增加的变化趋势;NDVI与平均气温、蒸发量、太阳辐射量之间的均呈正相关关系,正相关区域面积占总面积的96.72%,98.96%,72.73%,92.64%。此外,通过进一步分析因子探测器结果得到,区内土地利用类型为耕地、森林、灌木区域内影响植被生长的主要影响因子为平均气温,其值分别为0.216 5,0.321 5,0.326 5。本研究结果对于黄河上游流域开展植被空间分布变化监测、植被生态安全防护具有实际指导意义。

关键词: 黄河上游, NDVI, 时空变化, 气候变化, Hurst指数, 相关分析法

Abstract: In order to explore the impacts of climate change and regional human activities on the Normalised difference vegetation index (NDVI) of vegetation in the watershed of the upper reaches of the Yellow River,the present study took the watershed located in the upper reaches of the Yellow River from Longyangxia to Jishixia as the study area. And this study evaluated the spatial and temporal characteristics of NDVI in the area during 2004—2021 using six methods,including slope statistics,Mann-Kendall test and correlation analysis,and explored the correlation between NDVI and mean air temperature,rainfall,evapotranspiration,and solar radiation as well as their driving forces. The results showed that NDVI in 81.66% of the area showed an overall trend of gradual increase during the period 2004—2021,and that there was a positive correlation between NDVI and average air temperature,evapotranspiration,and solar radiation,with positively correlated areas accounting for 96.72 %,98.96%,72.73% and 92.64% of the total area. In addition,by further analyzing the results of the factor detector,the main factor affecting the growth of vegetation in the land use types of arable land,forest,and shrub area was the average temperature,with the values of 0.216 5,0.321 5 and 0.326 5,respectively. The results of the present study are of practical significance for monitoring the spatial distribution change of vegetation in the upper reaches of the Yellow River Basin,as well as for the protection of the ecological security of the vegetation.

Key words: The Upper Yellow River, NDVI, Spatial and temporal change, Climate change, Hurst index, Correlation analysis

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