数据资源: 中文期刊论文

山体效应及其对林线分布的影响(英文)



编号 zgly0001585801

文献类型 期刊论文

文献题名 山体效应及其对林线分布的影响(英文)

作者 韩芳  姚永慧  戴仕宝  王春  孙然好  许娟  张百平 

作者单位 GeographicInformationandTourismCollege  ChuzhouUniversity  StateKeyLaboratoryofResourceandEnvironmentInformationSystem  InstituteofGeographicSciencesandNaturalResourcesResearch  CAS  StateKeyLaboratoryofUrbanandRegionalEcology  Rese 

母体文献 Journal of Geographical Sciences 

年卷期 2012年04期

年份 2012 

分类号 S718.5 

关键词 masselevationeffect  mountainbaseelevation  altitudinalbelts  quantification  Eurasia 

文摘内容 The concept of mass elevation effect(massenerhebungseffect,MEE) was intro-duced by A.de Quervain about 100 years ago to account for the observed tendency for temperature-related parameters such as tree line and snowline to occur at higher elevations in the central Alps than on their outer margins.It also has been widely observed in other ar-eas of the world,but there have not been significant,let alone quantitative,researches on this phenomenon.Especially,it has been usually completely neglected in developing fitting mod-els of timberline elevation,with only longitude or latitude considered as impacting factors.This paper tries to quantify the contribution of MEE to timberline elevation.Considering that the more extensive the land mass and especially the higher the mountain base in the interior of land mass,the greater the mass elevation effect,this paper takes mountain base elevation(MBE) as the magnitude of MEE.We collect 157 data points of timberline elevation,and use their latitude,longitude and MBE as independent variables to build a multiple linear regres-sion equation for timberline elevation in the southeastern Eurasian continent.The results turn out that the contribution of latitude,longitude and MBE to timberline altitude reach 25.11%,29.43%,and 45.46%,respectively.North of northern latitude 32°,the three factors’ contribu-tion amount to 48.50%,24.04%,and 27.46%,respectively;to the south,their contribution is 13.01%,48.33%,and 38.66%,respectively.This means that MBE,serving as a proxy indi-cator of MEE,is a significant factor determining the elevation of alpine timberline.Compared with other factors,it is more stable and independent in affecting timberline elevation.Of course,the magnitude of the actual MEE is certainly determined by other factors,including mountain area and height,the distance to the edge of a land mass,the structures of the mountains nearby.These factors need to be included in the study of MEE quantification in the future.This paper could help build up a high-accuracy and multi-scale elevation model for alpine timberline and even other altitudinal belts.

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