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作 者:胡泽银 王世杰[1,3] 白晓永[1,3] 李琴 吴路华[1,2,3] 钱庆欢[1,3,4] 肖建勇[1,3,4] 陈飞 曾成 HU Ze-yin;WANG Shi-jie;BAI Xiao-yong;LI Qin;WU Lu-hua;QIAN Qing-huan;XIAO Jian-yong;CHEN Fei;ZENG Cheng(State Key Laboratory of Environmental Geochemistry,Institute of Geochemistry,Chinese Academy of Sciences,Guiyang 550081,China;University of Chinese Academy of Sciences,Beijing 100049,China;puding Karst Ecosystem Observation and Research Station,Chinese Academy of Sciences,Puding 562100,Guizhou,China;School of Geography and Environmental Sciences,Guizhou Normal University,Guiyang 550001,China).)
机构地区:[1]中国科学院地球化学研究所环境地球化学国家重点实验室,贵阳550081 [2]中国科学院研究生院,北京100049 [3]中国科学院普定喀斯特生态系统观测研究站,贵州普定562100 [4]贵州师范大学地理与环境科学学院,贵阳550001
出 处:《生态学杂志》2018年第9期2794-2807,共14页Chinese Journal of Ecology
基 金:国家重点研发计划项目(2016YFC0502300;2016YFC0502102);国家科技支撑计划(2014BAB03B02);喀斯特科学研究中心联合基金(U1612441);国家自然科学基金(41571130074;41571130042);贵州省科技计划(2017-2966);中国科学院科技服务网络计划(KFJ-STS-ZDTP-036);国际合作局国际伙伴计划(132852KYSB20170029;No.2014-3)资助
摘 要:地表温度(LST)是全球变化研究中的关键参数,对生态系统和生物地球化学等具有重要研究意义。然而,目前针对复杂地形区域的地表温度的研究仍非常欠缺,贵州省是典型的西南喀斯特高原地区,地形复杂,生态系统脆弱。本研究以贵州省为研究区,基于多年MODIS遥感数据,结合地面观测气象数据,使用相关分析、趋势分析、R/S分析和地理探测器等方法,进行地表温度的时空演变规律研究。结果表明:(1)MODIS LST与实测气温具有良好的线性相关性;(2)地表温度在空间上呈南高北低的空间分布格局;(3)在时间上,地表温度的年际波动较大,最大差值为2.06℃·a^(-1),年内主要呈现单峰型分布;(4)海拔800 m以上区域,地表温度随海拔升高而降低;海拔800 m以下区域,地表温度与海拔呈非线性关系;(5)不同土地利用类型的地表温度之间存在显著差异,且最大差值为1.3℃。综上所述,研究区地表温度空间分布与纬度分布相对一致,受到海拔和纬度双重控制,且与土地利用类型有关。Land surface temperature( LST) is a crucial parameter for global change investigation,which is significant to ecosystem and biogeochemical researches. However,studies on LST of complex terrain areas are limited. Guizhou Province is a typical karst landform with complex terrain and fragile ecosystems. Based on multi-year MODIS remote sensing data combined with meteorological data in Guizhou Province,the temporal and spatial changes of LST were studied by using correlation analysis,trend analysis,R/S analysis and geographic detector. The results showed that:( 1) The MODIS LST displayed a linear correlation with near surface temperature;( 2) LST showed a spatial distribution of the south-high and north-low;( 3) The interannual fluctuation of LST was large with the maximum difference of 2.06 ℃ ·a-1,while the annual variation was mainly in unimodal distribution;( 4) LST decreased with increasing elevation in the regains with 800 m above sea level,and exhibited a nonlinear relationship with elevation in the regions with 800 m above sea level;( 5) There were significant differences in LST among different land-use types,with a maximum difference of 1. 3 ℃. In summary,the spatial distributions of LST in the study area were relatively consistent with that of latitude,which was impacted by elevation and latitude and was related to land-use types.
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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