江淮分水岭区域植被总初级生产力时空特征及驱动力分析  

Spatial-temporal characteristics and driving forces of total primary productivity of vegetation in the Jianghuai watershed region

作　　者：李梦轩 徐建辉[1] 王丽[1] 王凯[1] 王靖[1] LI Mengxuan;XU Jianhui;WANG Li;WANG Kai;WANG Jing(School of Geographic Information and Tourism,Chuzhou University,Chuzhou 239000,China)

机构地区：[1]滁州学院地理信息与旅游学院,安徽滁州239000

出　　处：《黑龙江工程学院学报》2020年第2期25-31,共7页Journal of Heilongjiang Institute of Technology

基　　金：滁州学院大学生创新创业训练计划项目(2018CXXL043);安徽省高校优秀拔尖人才培育项目(gxgwfx2019058);高校省级人文社会科学研究重点项目(SK2017A0409、SK2018A0426);安徽省高校自然科学重点研究项目(KJ2017A416)。

摘　　要：为探究2000年以来江淮分水岭区域植被总初级生产力(GPP)的时空变化特征及其影响因素,基于MODIS卫星MOD17A产品数据、区域土地利用/覆盖、气温、降水等数据,利用线性相关、线性正弦趋势拟合、变异系数等方法研究2000—2018长时间序列江淮分水岭区域GPP时空变化特征及气温、降水、土地利用对其的影响。结果显示:GPP呈现年周期性变化,全年1月最小,7月最大,年均增长速率约2.28,秋季均值最大,春季均值最小。山地GPP值普遍大于平原,面积约占17%,平原约占83%,耕地GPP变化主导研究区总GPP的变化。排除城市发展因素,研究区GPP大部分趋于稳定,变异系数介于0~4.1,与气温、降水呈显著线性正相关,相关系数分别达到0.97、0.78。In order to explore the spatial and temporal variation characteristics of total primary productivity(GPP)of vegetation in the Jianghuai watershed since 2000 and its influencing factors,based on MODIS satellite MOD17A product data,regional land use/cover,temperature and precipitation data,linear correlation,Linear Sinusoidal trend fitting and coefficient of variation were used to study from 2000-2018 on the temporal and spatial variation characteristics of GPP in the Jianghuai watershed and the effects of temperature,precipitation and land use on GPP in the watershed area with long-term time series.The result shows that GPP shows an annual periodic change,the smallest in January,the largest in July,the annual average growth rate of about 2.28,the largest in autumn and the smallest in spring.The GPP value of mountainous areas is generally larger than that of plains,accounting for 17%of the total area and 83%of the plains.The change of cultivated land GPP dominates the change of the total GPP in the study area.Most of the GPP in the study area excluding urban development factors tend to be stable,and the coefficients of variation are between 0~4.1,which is positively correlated with temperature and precipitation,and the correlation coefficients are 0.97 and 0.78,respectively.

关 键 词：GPP 气象因子 时空变化特征 江淮分水岭 

分 类 号：P208.2[天文地球—地图制图学与地理信息工程]