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西北旱寒区地理、地形因素与降雨量及平均温度的相关性——以甘肃省为例
引用本文:杨森,孙国钧,何文莹,赵鸿,李凤民,熊友才.西北旱寒区地理、地形因素与降雨量及平均温度的相关性——以甘肃省为例[J].生态学报,2011,31(9):2414-2420.
作者姓名:杨森  孙国钧  何文莹  赵鸿  李凤民  熊友才
作者单位:1. 兰州大学干旱与草地生态教育部重点实验室,兰州,730000
2. 兰州大学干旱与草地生态教育部重点实验室,兰州,730000;中国气象局兰州干旱气象研究所,兰州,730020
基金项目:国家重点基础研究发展计划资助项目(973项目)(2009CB825101);国家公益性行业(气象)科研专项子课题(GYHY200806021-06/GYHY201106029);国家自然科学基金项目(31070372和30970447);教育部新世纪优秀人才支持计划项目(NCET-07-0396);兰州大学人才引进专项(582449)
摘    要:地理、地形因素是影响西北旱寒区农业种植结构和生态保育的重要因素之一。以甘肃为例,在遥感和GIS技术支持下,选取该地区122个气象站点的1980、1990、2000年3个年份各月降雨量和平均气温作为数据源,分析了各月降雨量和平均气温与经纬度、海拔、坡向、坡度之间的相关关系。结果表明,降雨量与经度、纬度和海拔3个地理、地形因子相关性较大,与坡度和坡向无显著性相关;降雨量和纬度之间存在普遍的显著性负相关,平均偏相关系数在0.5以上。另外,月平均气温与经度、海拔具有很高的显著性负相关,其中平均气温与海拔之间的偏相关系数达到0.9以上,但与坡度和坡向的相关性不显著。更进一步,分析了3个年度各月的月平均气温与纬度之间的关系,虽然气温和纬度之间存在一定的相关性,但随着年份的变化,温度与纬度具有显著性相关的月份数在减少,并且在存在相关性的月份中,气温同纬度之间的偏相关系数也在逐年减小,纬度对温度的空间分布的影响正逐渐变弱。研究结果支持了中国西北干旱区范围正向东南扩展的结论,并为全球变化下旱区农业生态系统管理提供理论潜力。

关 键 词:降雨量  平均气温  地理、地形因素  纬度  中国
收稿时间:2010/10/31 0:00:00
修稿时间:2011/2/21 0:00:00

Correlation of topographic factors with precipitation and surface temperature in arid and cold region of Northwest China: a case study in Gansu Province
YANG Sen,SUN Guojun,HE Wenying,ZHAO Hong,LI Fengmin and XIONG Youcai.Correlation of topographic factors with precipitation and surface temperature in arid and cold region of Northwest China: a case study in Gansu Province[J].Acta Ecologica Sinica,2011,31(9):2414-2420.
Authors:YANG Sen  SUN Guojun  HE Wenying  ZHAO Hong  LI Fengmin and XIONG Youcai
Institution:MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, China;MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, China;MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, China;MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, China;Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China;MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, China;MOE Key Laboratory of Arid and Grassland Ecology, Lanzhou University, Lanzhou 730000, China
Abstract:Topography is one of the most important factors affecting agricultural systems and ecological conservation in the arid and cold regions of Northwest China. In this study, the Gansu Province region was chosen to evaluate the correlation between monthly surface temperature/precipitation with latitude/longitude altitude/aspect and slope using the surface temperature and precipitation data of 1980, 1990 and 2000 across 122 meteorological stations using remote sensing and GIS techniques. The results showed that precipitation was popularly correlated with three large topographic factors, longitude, latitude and elevation, but had no significant correlation with slope and aspect; there was a significantly negative correlation between rainfall and latitude, with the average partial correlation coefficient of above 0.5. In addition, monthly surface temperature was observed to have a high negative correlation with longitude and altitude, where the partial correlation coefficient between surface temperature and elevation was more than 0.9, but the correlation of surface temperature with slope and surface temperature with aspect were not significant. Furthermore, we analyzed the correlations of monthly surface temperature with latitude across all the months of the three years, and found that the number of the months when a significant correlation between temperature and latitude was observed became fewer with the increase of years, while there was a correlation between them. Additionally, among the months in which the correlation was there, the partial correlation coefficient between temperature and latitude decreased year by year, suggesting that the effect of the latitude on the spatial distribution of temperature was gradually weakening. The results support the existing viewpoint that the extent of the arid northwest China has been extending to the south and east, and provide theoretical potential for arid agro-ecosystem management under global change.
Keywords:precipitation  surface temperature  topographic factor  latitude  China
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