首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献，搜索用时 468 毫秒
1.
While climate is an important factor attracting tourists to certain destinations,it can also motivate people residing in a country with a harsh climate to move to another location.By applying X-12 decompositions and a panel data regression analysis,this study analyzes the pull and push effects of climatic seasonal factors between destination(Hainan Island,China) and source countries(Russia and South Korea).The findings show that climatic seasonal factors have significant pulling and pushing effects on seasonal patterns of tourism demand,with temperature being the main factor.Furthermore,the number of paid vacation days in the source country affects that country's sensitivity to climatic seasonal factors;countries with a higher numbers of paid vacation days are more sensitive to climatic conditions.Lastly,future global warming may causes the aforementioned pull and push effects to abate,which will have an unavoidable influence on tourism industries.  相似文献   

2.
Qinghai Province is an important component of the Qinghai-Tibet Plateau in China. Scientific evaluation of the suitability of Qinghai’s climate for tourism can contribute to overcoming obstacles posed by climate on sustainable tourism development in Qinghai Province, including disparities between the low and high seasons, high altitude health concerns, and weather events. A tourism climate suitability evaluation model of the Qinghai-Tibet Plateau is constructed (Tourism Climate Suitability Index, or TCSI), and tourism climate suitability is comprehensively evaluated for Qinghai Province from climate data from 1960 to 2009. Results show that: (I) There is clear distributional characteristics of spatial-temporal variability of TCSI values in Qinghai Province. (II) Tourism climate suitability in Qinghai Province has significant seasonal and regional differences. The year is divided into a very suitable period (July and August), suitable tourism periods (from April and October), less suitable periods (From Nov to Mar). June to August is the most suitable tourism period in Qinghai. Qinghai Province is divided into five levels of tourism climate suitability: most suitable regions, very suitable regions, suitable regions, less suitable regions, and unsuitable region. (III) The key factor which influences regional differences in tourism climatic suitability is atmospheric oxygen. And the key factors which chiefly influence seasonal differences of tourism climate suitability are temperature and humidity, the wind chill factor, and barrier weather.  相似文献   

3.
Push-pull factors in mountain resorts   总被引：1，自引：0，他引：1  
The push-pull framework provides a useful approach for examining the tourist motivation. This paper takes the world heritage—Huangshan Mountain as a sample. From the two different aspects of pull and push factors, the underlying features of visitors’ motives to Huangshan Mountain are analyzed with the help of factor analysis. As a result, five push factors and four pull factors are identified. Further analyses investigate differences in the push and pull factors among different socio-demographic subgroups with one-way ANOVA analysis. The result of the study affords us useful references for development, protection and marketing expansion of mountain resorts. Foundation item: Under the auspices of the National Social Science Foundation of China (No. 03BJY084) Biography: WANG De-gen (1973-), male, a native of Huangshan of Anhui Province, lecturer, specialized in tourist market and tourist planning. E-mail: dgwang73@263.net  相似文献   

4.
从空气中的氧、二氧化碳、水汽、固体粒子含量以及大气压力、接受的太阳辐射、光照时数、所获得热量、降水量等因素介绍了山地气候梯变效应的具体表现,分析了山地气候梯度效应对生态环境及人类活动的影响。从山地气候梯变效应的实际状况出发,通过分析山地气候资源的特点,指出人类应遵循生态系统、自然保护、景观和谐、因地制宜等原则,挖掘山地气候旅游资源、多样化气候资源和气候"小生境"等气候资源,突显其特色,发展异于平地的农业生产、旅游活动等,将有助于山地特色气候资源的充分利用。  相似文献   

5.
Global warming is recently an urgent issue worldwide. The increase of carbon emissions induced by human economic activi- ties has become a major driving force behind global climate change. Thus, as a matter of social responsibility, reasonable carbon con- straints should be implemented to ensure environmental security and sustainable development for every country. Based on a summary of studies that examined the relationship between carbon emissions and regional development, this paper shows that human activity-led carbon emission is caused by the combination of several influencing factors, including population size, income level, and technical pro- gress. Thus, a quantitative model derived from IPAT-ImPACT-Kaya series and STIRPAT models was established. Empirical analysis using multivariate nonlinear regression demonstrated that the origins of growing global carbon emission included the increasing influ- encing elasticity of the population size and the declining negative effect of technical progress. Meanwhile, in context of classification of country groups at different income levels, according to the comparison of fluctuating patterns of the influencing elasticity, technical progress was found as the main factor influencing carbon emission levels in high-income countries, and population size might he the controlling factor in middle-income countries. However, for low-income countries, the nonlinear relationship between carbon emission and its influencing factors was not significant, whereas population growth was identified as an important potential driving force in future carbon emissions. This study can therefore provide a reference for the formulation of policies on carbon constraints, especially to de- velop more efficient carbon mitigating policies for countries at different income levels.  相似文献   

6.
为了更好地发展旅游事业,在对马尔康旅游资源做出具体规划的同时,对当地的气候资源特征进行分析与评价。利用马尔康县气象站1966~2005年逐日气温、相对湿度、风速、降水量等观测资料,计算当地温湿指数、风寒指数、着衣指数、综合舒适指数等,进而对旅游气候舒适度进行定量分析与评价。研究结果表明:(1)马尔康地区温湿指数和风寒指数分别在7、8月份达最大值,着衣指数在7月份达最小值,人体在7月份感觉最舒适;(2)40a间,马尔康地区温湿指数,风寒指数和着衣指数总体变化较稳定,个别年份波动较大;(3)1966~1990年,舒适天数基本在125d左右波动;受全球变暖影响,1990~2005年马尔康舒适天数呈明显波动上升趋势。这说明马尔康夏季为最适宜旅游季节,全年大概有120d非常适宜旅游,旅游资源丰富,且气候变化对当地旅游资源开发有明显促进作用。  相似文献   

7.
京津冀地区植被时空动态及定量归因   总被引：2，自引：0，他引：2  
作为气候变化的敏感指示器,植被的物候、生长、空间分布格局等特征及其动态变化主要取决于气候环境中的水热条件,因此在气候变化背景下,气候-植被关系成为了全球变化研究的前沿和热点问题。本文综合平均温度、降水、水汽压、湿度、日照时数、SPEI等气候因子,坡度、坡向海拔等地形因子及人为活动因子,应用地理探测器方法针对2006-2015年京津冀地区不同季节NDVI、不同地貌类型区、不同植被类型区生长季NDVI的定量归因研究,揭示了过去10年间植被时空分布格局,及植被对气候、非气候因素响应的季节差异与区域差异,以期为生态工程的建设与修复提供参考意义。趋势分析表明：①2006-2015年京津冀地区NDVI呈现增加趋势,但存在显著的空间差异,如山地生长季NDVI的增长速率大于平原、台地、丘陵等地;②基于地理探测器的定量归因结果表明,降水是年尺度上NDVI空间分布的主导因子（解释力39.4%）,土地利用与降水的交互作用对NDVI的影响最为明显（q=58.2%）;③NDVI对气候因子的响应存在季节性及区域性差异,水汽压是春季NDVI空间分布的主导因子,湿度是夏、秋两季的主导因子,土地利用是冬季的主导因子;④影响因子对生长季NDVI的解释力因不同地貌类型区、不同植被类型区而差异显著。  相似文献   

8.
利用射洪县近30年来的气温、降水、相对湿度、云量、日照时数等气象要素资料,应用多种统计方法分析了近30年来射洪县的区域气候特征.结果表明,射洪年平均温度在1986年左右发生转折性变化,气温明显变暖.而年降水量总体上以波动变化为主,在20世纪80年代中后期有较为明显的减少.降水量与年平均温度的突变年代类似,但变化趋势正好相反,说明90年代以后射洪的气候向暖干型转变.各气象要素的综合分析表明,随着全球气候变暖,射洪区域气候变化趋势不容乐观:相对湿度的减少导致降水减少,而温度则在进一步上升,低云量的增加和日照时数的减少,使得阴天寡照加剧.射洪区域气候变化与当地诸如人口增长,城市扩大等人类活动,以及农业生态之间均存在密切联系.  相似文献   

9.
1　ＩＮＴＲＯＤＵＣＴＩＯＮＡｓａｎｉｍｐｏｒｔａｎｔｃｏｍｐｏｎｅｎｔｏｆｔｈｅｇｌｏｂａｌｔｅｒｒｅｓ ｔｒｉａｌｅｃｏｓｙｓｔｅｍｓ ,ｆｏｒｅｓｔｌｉｎｋｓｔｈｅａｔｍｏｓｐｈｅｒｅ ,ｓｏｉｌａｎｄｗａｔｅｒｔｏｇｅｔｈｅｒｔｈｒｏｕｇｈｉｔｓｐｏｗｅｒｆｕｌｅｃｏｌｏｇｉｃａｌｆｕｎｃ ｔｉｏｎ .Ｉｎｒｅｃｅｎｔｙｅａｒｓ,ｏｗｉｎｇｔｏｔｈｅｇｌｏｂａｌｗａｒｍｉｎｇａｎｄｈｕｍａｎｉｎｆｌｕｅｎｃｅ ,ｆｏｒｅｓｔｆｉｒｅｏｃｃｕｒｍｕｃｈｍｏｒｅｆｒｅｑｕｅｎｔｌｙ .Ｔｈｅａｎｎｕａｌｆ…  相似文献   

10.
京津冀地区NDVI变化及气候因子驱动分析   总被引：3，自引：0，他引：3  
植被覆盖动态监测及与气候变化的响应,是陆地生态系统研究的重要内容。本文以2001-2013年间京津冀地区MOD13A 3月合成NDVI数据,结合生长季的降水和气温资料,运用偏相关和复相关分析、趋势分析方法,研究了该区域NDVI的变化特征和空间分布,以及其区域植被覆盖变化的气候驱动力。结果表明,该区域NDVI最大值在13a间缓慢增加,植被覆盖呈现改善趋势;NDVI和生长季降雨量及平均气温的平均偏相关系数分别为0.20和-0.14,表明在年际变化水平上,京津冀地区NDVI总体与降水量呈正相关,与平均气温呈负相关,且降水对NDVI的影响大于温度对NDVI的影响。对植被覆盖驱动分区得出,降水和气温驱动型占区域面积的5.68%;单独降水驱动型和气温驱动型分别占4.51%、0.18%;区域内植被覆盖变化主要受非气候因子驱动型为主,所占比例为89.63%,表明人类活动对植被变化的影响巨大。  相似文献   

11.
川西高原若尔盖旅游气候资源及旅游舒适期研究   总被引：1，自引：0，他引：1  
利用若尔盖1971-2000年的逐日日照时数、气温、降水量、降水日数、相对湿度、风速、气压等气象资料,用常规统计方法对以上主要旅游气候要素进行月、年变化规律分析,为当地旅游管理部门提供参考,为旅客提供气象服务。统计和分析表明：若尔盖光照资源丰富,日照总时数达到2510h。该地整年气温偏低,月均气温为-10.2℃-10.8℃,年平均气温为0.8℃,而且随着年份的增加,气温呈上升趋势。年降水量为649.1mm,干湿季分明,5-10月降水量占全年降水量的88%,白天降水少并且无大的降水。空气相对湿度与气温的配合让人体感觉比较舒适,风速较小,适合开展旅游活动。该地的最佳旅游舒适期为7、8月,而6月和9月可根据实时天气情况适当安排旅游活动,舒适天数在68天左右,舒适天数随年份呈波动上升趋势。  相似文献   

12.
With trends indicating increase in temperature and decrease in winter precipitation, a significant negative trend in snow-covered areas has been identified in the last decade in the Himalayas. This requires a quantitative analysis of the snow cover in the higher Himalayas. In this study, a nonlinear autoregressive exogenous model, an artificial neural network （ANN）, was deployed to predict the snow cover in the Kaligandaki river basin for the next 30 years. Observed climatic data, and snow covered area was used to train and test the model that captures the gross features of snow under the current climate scenario. The range of the likely effects of climate change on seasonal snow was assessed in the Himalayas using downscaled temperature and precipitation change projection from - HadCM3, a global circulation model to project future climate scenario, under the AIB emission scenario, which describes a future world of very rapid economic growth with balance use between fossil and non-fossil energy sources. The results show that there is a reduction of 9% to 46% of snow cover in different elevation zones during the considered time period, i.e., 2Oll to 2040. The 4700 m to 52oo m elevation zone is the most affected area and the area higher than 5200 m is the least affected. Overall, however, it is clear from the analysis that seasonal snow in the Kaligandaki basin is likely to be subject to substantialchanges due to the impact of climate change.  相似文献   

13.
Examining the direct and indirect effects of climatic factors on vegetation growth is critical to understand the complex linkage between climate change and vegetation dynamics. Based on the Moderate Resolution Imaging Spectroradiometer(MODIS) Normalized Difference Vegetation Index(NDVI) data and meteorological data(temperature and precipitation) from 2001 to 2012, the trend of vegetation dynamics were examined in the Ziya-Daqing basins, China. The path analysis was used to obtain the information on the relationships among climatic factors and their effects on vegetation growth. It was found that the trends of growing season NDVI were insignificant in most plain dry land, while the upward trends were significant in forest, grass and dry land in Taihang Mountains. According to the path analysis, in 23% of the basins the inter-annual NDVI variation was dominated by the direct effect of precipitation, in 5% by the direct effects of precipitation and temperature, and in less than 1% by the direct effect of temperature or indirect effects of these two climatic factors. It indicated that precipitation significantly affected the vegetation growth in the whole basins, and this effect was not regulated by temperature. Precipitation increase(especially in July, August and September) was favorable to greenness enhancement. Summer temperature rising showed negative effect on plant productivity enhancement, but temperature rise in April was beneficial for the vegetation growth. When April temperature increases by 1℃, the onset date of greenness for natural vegetation will be 2 days in advance. There was a lag-time effect of precipitation or temperature on monthly NDVI for all land use types except grass.  相似文献   

14.
An increase in extreme precipitation events due to future climate change will have a decisive influence on the formation of debris flows in earthquake-stricken areas. This paper aimed to describe the possible impacts of future climate change on debris flow hazards in the Upper Minjiang River basin in Northwest Sichuan of China, which was severely affected by the 2008 Wenchuan earthquake. The study area was divided into 1285 catchments, which were used as the basic assessment units for debris flow hazards. Based on the current understanding of the causes of debris flows, a binary logistic regression model was used to screen key factors based on local geologic, geomorphologic, soil, vegetation, and meteorological and climatic conditions. We used the weighted summation method to obtain a composite index for debris flow hazards, based on two weight allocation methods: Relative Degree Analysis and rough set theory. Our results showed that the assessment model using the rough set theory resulted in better accuracy. According to the bias corrected and downscaled daily climate model data, future annual precipitation (2030-2059) in the study area are expected to decrease, with an increasing number of heavy rainfall events. Under future climate change, areas with a high-level of debris flow hazard will be even more dangerous, and 5.9% more of the study area was categorized as having a high-level hazard. Future climate change will cause an increase in debris flow hazard levels for 128 catchments, accounting for 10.5% of the total area. In the coming few decades, attention should be paid not only to traditional areas with high-level of debris flow hazards, but also to those areas with an increased hazard level to improve their resilience to debris flow disasters.  相似文献   

15.
To improve the understandings on regional climatic effects of past human-induced land cover changes,the surface albedo changes caused by conversions from natural vegetation to cropland were estimated across northeastern China over the last 300 years,and its climatic effects were simulated by using the Weather Research and Forecasting (WRF) model.Essential natural vegetation records compiled from historical documents and regional optimal surface albedo dataset were used.The results show that the surface albedo decreased by 0.01-0.03 due to conversions from grassland to cropland in the Northeast China Plain and it increased by 0.005-0.015 due to conversions from forests to cropland in the surrounding mountains.As a consequence,in the Northeast China Plain,the surface net radiation increased by 4-8 W/m 2,2-5 W/m 2,and 1-3 W/m 2,and the climate was therefore warmed by 0.1℃-0.2℃、0.1℃-0.2℃、 0.1℃-0.3 ℃ in the spring,autumn and winter,respectively.In the surrounding mountain area,the net radiation decreased by less than 1.5 W/m 2,and the climate was therefore cooled too slight to be detected.In summer,effects of surface albedo changes on climate were closely associated with moisture dynamics,such as evapotranspiration and cloud,instead of being merely determined by surface radiation budget.The simulated summer climatic effects have large uncertainties.These findings demonstrate that surface albedo changes resulted in warming climate effects in the non-rainy seasons in Northeast China Plain through surface radiation processes while the climatic effects in summer could hardly be concluded so far.  相似文献   

16.
Net primary productivity(NPP), a metric used to define and identify changes in plant communities, is greatly affected by climate change, human activities and other factors. Here, we used the Carnegie-Ames-Stanford Approach(CASA) model to estimate the NPP of plant communities in Hengduan Mountains area of China, and to explore the relationship between NPP and altitude in this region. We examined the mechanisms underlying vegetation growth responses to climate change and quantitatively assessed the effects of ecological protection measures by partitioning the contributions of climate change and human activities to NPP changes. The results demonstrated that: 1) the average total and annual NPP values over the years were 209.15 Tg C and 468.06 g C/(m2·yr), respectively. Their trend increasingly fluctuated, with spatial distribution strongly linked to altitude(i.e., lower and higher NPP in high altitude and low altitude areas, respectively) and 2400 m represented the marginal altitude for vegetation differentiation; 2) areas where climate was the main factor affecting NPP accounted for 18.2% of the total research area, whereas human activities were the primary factor influencing NPP in 81.8% of the total research area, which indicated that human activity was the main force driving changes in NPP. Areas where climatic factors(i.e., temperature and precipitation) were the main driving factors occupied 13.6%(temperature) and 6.0%(precipitation) of the total research area, respectively. Therefore, the effect of temperature on NPP changes was stronger than that of precipitation; and 3) the majority of NPP residuals from 2001 to 2014 were positive, with human activities playing an active role in determining regional vegetation growth, possibly due to the return of farmland back to forest and natural forest protection. However, this positive trend is decreasing. This clearly shows the periodical nature of ecological projects and a lack of long-term effectiveness.  相似文献   

17.
Vegetation cover is the main factor of soil loss prevention. The C-factor of the RUSLE (Revised Universal Soil Loss Equation) was predicted with NDVI, ground data and exponential regression equation for mountain rangelands of Kyrgyzstan. Time series of C-factor, precipitation and temperature were decomposed into seasonal and trend components with STL (seasonal decomposition by loess) to assess their interrelations. C-factor, precipitation and temperature trend components indicated significant lagged correlation, whereas seasonal components indicated more complex relations with climate factors which can be promoting as well as limiting factors for vegetation development, depending on the season. Rainy springs and hot summers may increase soil loss dramatically, whereas warm and dry springs with rainy summers can decrease it. Steep slopes indicated higher soil loss ratio, whereas flat areas were better protected by vegetation.  相似文献   

18.
Globalclimatechangeanditspotentialinlliactsonhumanaffairshavebeenthesubjectofconsiderablediscussionwithintheaca相似文献   

19.
针对现有的旅游信息化产品往往只提供对于旅游主、客体自身的属性特征信息的发布与查询功能,而很少对其空间特征信息,以及空间信息的相互关系进行发布、查询与分析,不能让用户对旅游目的地产生直观、形象的认识,面向旅游者、旅游企业和村镇管理部门,集成WEBGIS技术、多媒体技术、Web3D技术和虚拟现实技术,利用Commercial Off-The-Shelf(COTS)软件组件开发村镇民俗旅游景观三维展示构件。并结合村镇民俗旅游景点的平面、空间、图形、三维等多种漫游方式,对不同资源类型、不同区域自适应展示旅游景观,实现立体展示村镇的风景名胜、风土人情、休闲娱乐、旅游交通等,深入挖掘村镇地方特色,搭建对外宣传的窗口,促进民俗文化交流,保护优秀传统民俗旅游资源,势在必行。  相似文献   

20.
《山地科学学报》2020,17(1):68-82
Global climate change poses a new challenge for species and can even push some species toward an extinction vortex. The most affected organisms are those with narrow tolerance to the climatic factors but many large mammals such as ungulates with a wider ecological niche are also being affected indirectly. Our research mainly used wild sheep in central Iran as a model species to explore how the suitable habitats will change under different climatic scenarios and to determine if current borders of protected areas will adequately protect habitat requirements. To create habitat models we used animal-vehicle collision points as an input for species presence data. We ran habitat models using Max Ent modeling approach under different climatic scenarios of the past, present and future(under the climatic scenarios for minimum(RCP2.6) and maximum(RCP8.5) CO2 concentration trajectories). We tried to estimate the overlap and the width of the ecological niche using relevant metrics. In order to analyze the effectiveness of the protected areas, suitable maps were concerted to binary maps using True Skill Statistic(TSS) threshold and measured the similarity of the binary maps for each scenario using Kappa index. In order to assess the competence of the present protected areas boundary in covering the distribution of species, two different scenarios were employed, which are ensemble scenario 1: an ensemble of the binary maps of the species distribution in Mid-Holocene, present, and RCP2.6;and ensemble scenario 2: an ensemble of binary suitability maps in Mid-Holocene, present, and RCP8.5. Then, the borders of modeled habitats with the boundaries of 23 existing protected areas in two central provinces in Iran were compared. The predicted species distribution under scenario 1(RCP2.6) was mostly similar to its current distribution(Kappa = 0.53) while the output model under scenario 2(RCP8.5) indicated a decline in the species distribution range. Under the first ensemble scenario, current borders of the protected areas in Hamedan province showed better efficiency to cover the model species distribution range. Analyzing Max Ent spatial models under the second climatic scenario suggested that protected areas in both Markazi and Hamedan provinces will not cover "high suitability" areas in the future. Modeling the efficiency of the current protected areas under predicted future climatic scenarios can help the related authorities to plan conservation activities more efficiently.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号