1998—2019年青岛市植被覆盖度规律及对气候变化的响应  

Vegetation Coverage Variation from 1998 to 2019 in Qingdao and its Response to Climate Change

作　　者：李珍 王永波 牟乃夏[2] 刘文宝[2] LI Zhen;WANG Yong-bo;MOU Nai-xia;LIU Wen-bao(College of Resource Environment and Tourism,Capital Normal University,Beijing 100048,China;College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao 266590,China)

机构地区：[1]首都师范大学资源环境与旅游学院,中国北京100048 [2]山东科技大学测绘与空间信息学院,中国青岛266590

出　　处：《湖南师范大学自然科学学报》2022年第1期101-109,共9页Journal of Natural Science of Hunan Normal University

基　　金：国家自然科学基金资助项目(41877282,41861134030)。

摘　　要：为研究青岛市近年来的植被覆盖度变化规律并探讨其对温度、降水等气候因子的响应过程,本文基于1998—2019年Landsat卫星影像,利用归一化植被指数(NDVI)和像元二分模型法,获取了青岛市近21年植被覆盖度的变化规律;同时结合气象站点数据记录,对植被覆盖度、温度和降水等气候因子的相关关系进行分析。结果表明,青岛市夏季植被覆盖度整体以高覆盖为主,除2009年和2016年覆盖度较低外高覆盖比例均超过50%,且植被覆盖度总体呈增加的趋势。研究区植被覆盖度变化与气温的相关性高于降水,与月尺度气候因子的相关性高于年尺度。在年际尺度上,高植被覆盖与年最低温度和月平均气温相关系数略高于与降水量的相关系数。在月尺度上,植被覆盖度与前一月降水和当月降水相关系数分别为0.74和0.38,与前一月气温和当月气温相关系数分别为0.76和0.87,表明植被生长与同期气温的相关性更加显著,降水对植被生长的影响存在一个月的滞后效应,气温是影响研究区植被生长的主要因子。In order to investigate the variations of vegetation coverage in Qingdao during the recent years and to evaluate the responding process to climate factors such as temperature and precipitation,the normalized difference vegetation index(NDVI)and binary pixel model were applied to the Landsat satellite images between 1998 and 2019.The model method was used to establish the changes of vegetation coverage in Qingdao in recent 21 years.In addition,based on the records of meteorological station,we analyzed the correlation between vegetation coverage and climate factors such as temperature and precipitation.The results showed that the summer vegetation coverage in Qingdao is mainly dominated by high coverage,accounting for over 50%of the total studied area except for lower values in 2009 and 2016,which expressed an overall increasing trend as well.In general,the correlation between vegetation coverage and temperature is higher than that with precipitation in the studied area,and the correlation at monthly scale is higher than inter-annual scale.On the inter-annual scale,the correlation coefficients between high vegetation coverage and annual minimum temperature(0.62),monthly average temperature(0.55)are slightly higher than precipitation(0.42).On the monthly scale,the correlation coefficients between the vegetation coverage and the precipitation of the previous month,current month are 0.74 and 0.38,while the correlation coefficients of the previous month temperature,the current month temperature are 0.76 and 0.87 respectively,which indicates a closer correlation between vegetation coverage and temperature.In addition,precipitation has a one-month lag effect on vegetation growth while temperature is the main factor affecting vegetation growth in the studied area.

关 键 词：植被覆盖度 Landsat影像 NDVI 像元二分模型 气候响应 

分 类 号：K903[历史地理—人文地理学] P461[天文地球—大气科学及气象学]