中国农业气象 ›› 2023, Vol. 44 ›› Issue (03): 193-205.doi: 10.3969/j.issn.1000-6362.2023.03.003

• 农业生态环境栏目 • 上一篇    下一篇

石羊河流域植被生态质量时空变化动态监测

任丽雯,王兴涛,胡正华,刘明春,王大为   

  1. 1.南京信息工程大学应用气象学院/江苏省农业气象重点实验室,南京 210044;2.甘肃省武威市气象局,武威 733000;3.西北区域气候中心,兰州 730020
  • 收稿日期:2022-03-30 出版日期:2023-03-20 发布日期:2023-03-14
  • 通讯作者: 胡正华,教授,博士,研究方向为地气碳氮交换、气候变化生态响应等。 E-mail:zhhu@nuist.edu.cn
  • 作者简介:任丽雯,E-mail:rlw2116@126.com
  • 基金资助:
    干旱气象科学研究基金(IAM201910);甘肃省气象局气象科研项目(Ms2020−14);甘肃省气象局气象科研项目(Zd2021−02);西北干旱与生态环境遥感监测(GHSCXTD−2020−4)

Dynamic Monitoring on Temporal and Spatial Change of Vegetation Ecological Quality in Shiyang River Basin

REN Li-wen, WANG Xing-tao, HU Zheng-hua, LIU Ming-chun, WANG Da-wei   

  1. 1.School of Applied Meteorology,Nanjing University of Information Science and Technology/Jiangsu Key Laboratory of Agricultural Meteorology of Jiangsu Province,Nanjing 210044, China; 2.Wuwei Meteorological Bureau, Wuwei 733000; 3.Northwest Regional Climate Center, Lanzhou 730020
  • Received:2022-03-30 Online:2023-03-20 Published:2023-03-14

摘要: 基于遥感和GIS技术,以MODIS NDVI为数据源,应用DEM和土地利用分类图,采用转移矩阵、一元线性回归模型等方法,对石羊河流域2000−2020年植被生态质量指数(Q)的时空变化特征进行研究,并对Q值基于不同海拔高度、坡度、坡向和植被类型的分布特征进行分析。结果表明:(1)2000−2020年石羊河流域的平均Q值为9.8,南北差异较大,Q值与海拔高度和坡度呈正相关;(2)分析Q转移矩阵,流域植被生态质量处于改善之中,2000−2010年植被生态质量改善和退化面积占总面积的比例分别为30.0%和2.2%,2010−2020年分别为13.7%和10.9%;(3)2000年以来流域Q值平均每10a增加1.2,呈增加趋势(Slope>0.0)的区域面积占整个研究区面积的90.3%;(4)Q值呈增加趋势的面积随着海拔高度的增大呈波动变化,随着坡度的增大先增加后减小;(5)森林、草地和灌木丛植被类型Q值呈增加趋势所占比例均在60.0%以上;(6)研究区Q值与气温、降水的相关系数分别为0.352和0.281,气温是植被生长的主要影响因素。

关键词: 植被生态质量指数, 转移矩阵, 一元线性回归模型, 时空变化, 石羊河流域

Abstract: To study the temporal and spatial change of vegetation ecological quality index in Shiyang river basin from 2000 to 2020, the MODIS NDVI remote sensing data, DEM data and land use classification map were used based on remote sensing and GIS technology by using transition matrix and linear regression model. And the distribution characteristics of vegetation ecological quality index under different altitude, slope, aspect and vegetation type were analyzed. Understanding the changes of vegetation ecological quality of Shiyang river basin could provide theoretical foundation and scientific bases for ecological protection and construction. The results showed that: (1) the average of the index from 2000 to 2020 was 9.8 and there existed a great gap between the south and the north in this area. There was a positive correlation between vegetation ecological quality index and altitude, slope. (2)The transition matrix of vegetation ecological quality index showed that the vegetation ecological quality was improved from 2000. The proportion of the area of the vegetation ecological quality improved and degraded on the total area were 30.0% and 2.2% from 2000 to 2010, and it were 13.7% and 10.9% from 2010 to 2020. (3)The vegetation ecological quality index was increased 1.2 every decade and the area of the index improved (slope>0.0) accounted for 90.3% of the total area from 2000 to 2020. (4)The area of the vegetation improved fluctuated with the increase of altitude. The area of the vegetation improved increased at first and then decreased with the increase of slope. (5)The proportion of the area in the forest, grassland and bush improved were all above 60.0%. (6)The correlation coefficient between vegetation ecological quality index and temperature and precipitation were 0.352 and 0.281 respectively and temperature was the key influence factor in Shiyang river basin.

Key words: Vegetation ecological quality index, Transition matrix, Linear regression model, Temporal and spatial change, Shiyang river basin