Estimation on Aesthetic Value of Tourist Landscapes in a Natural Heritage Site： Kanas National Nature Reserve, Xinjiang, China

Most world natural heritage sites are designated partly by reason of their prominent aesthetic values in accordance with Article Ⅶ of World Natural Heritage Convention.In this paper, the aesthetic values of Kanas National Nature Reserve, which has potential for such designation, was analyzed quantitatively using scenic beauty estimation(SBE).The landscapes of 19 representative scenic spots in the Kanas National Nature Reserve in summer and autumn were selected as the objects of evaluation.The contributions of different landscape factors to the aesthetic value of the Kanas National Nature Reserve were revealed using a multivariate quantitative model.The main factors affecting the aesthetic value were waterscapes, vegetation, mountains, folk culture and the tourist environment.The t-test and F-test results are extremely significant.According to the results, some suggestions were given for conserving the landscapes in the Kanas National Nature Reserve.     

面向对象的极高海拔区水体及冰川信息提取——以珠穆朗玛峰国家级自然保护区核心区为例

极高海拔地区多为河流发源、冰川发育地,由于地形起伏强烈,且野外考察验证工作困难,传统的遥感信息提取方法很难保证该地区水体及冰川的提取精度。本文基于ASTER影像,运用面向对象的图像信息自动分析方法,对珠穆朗玛峰国家级自然保护区核心区的水体及冰川信息进行了提取研究。为保证信息提取的准确度,将数字高程模型(DEM)及其衍生数据(坡度、坡向),归一化植被指数(NDVI)数据,及有助于区分水体、冰川与其他地物的相关指数(冰雪指数NDSII)及波段运算结果(b1-b3)、(b3/b4)等,分别作为一个波段叠加到原始图像中,使之成为对目标地物光谱特征的有益补充。并对不同类型的水体及冰川进行多级、多尺度分割,以满足其对分割尺度的不同要求。分割完成后,综合考虑目标地物的光谱特征、纹理特征、空间结构特征,根据各特征指数的直方图信息,设定合适的阈值,建立了各水体及冰川类型信息提取的知识规则,并结合实地调查对信息提取的精度进行验证,改进了ASTER遥感影像自动快速提取极高海拔区水体及冰川信息的实用模型。     

美国国家公园志愿者服务及机制——以海峡群岛国家公园为例

具有百余年历史的美国国家公园志愿者服务已成为美国国家公园管理的重要部分,志愿者服务有效实现了美国国家公园的全民管理思路。通过实地考察和访谈记录梳理,就国家公园志愿者服务的相关概念、服务动机、服务决策、服务内容、服务支持和服务机制深入剖析,从庞大有序的服务系统、管理与运行、功能实现三方面分析国家公园志愿者服务机制;提炼出美国国家公园志愿者服务的四个支持：宣传支持、技术支持、学习支持和立法支持。并以美国海峡群岛国家公园为例进行论证。最后提出国家公园志愿者服务和中国国家公园志愿服务尚需研究的诸多内容,任重而道远。     

Environmental effects on distributions of culturable soil oligotrophic bacteria along an elevational gradient in the Chihuahuan Desert

Oligotrophic bacteria have been isolated from many habitats, yet environmental regulation of their distributions in soil has not been elucidated. To address the issue of environmental influence upon oligotrophic distributions, Chihuahuan Desert soils were sampled from five sites along an elevational and vegetational gradient within Big Bend National Park during January and August of 2002 and 2003. Soils were diluted and plated on oligotrophic media, and plates were incubated at 15, 25, 35, 45 and 60 °C. Additionally, measurements of soil organic matter, pH, moisture, extractable nitrate, extractable ammonium and microbial biomass carbon were collected for each sample to relate oligotrophic bacterial distributions to soil nutrient and edaphic characteristics. Analysis of variance indicated significant site, season, incubation-temperature and interaction effects on total oligotroph numbers. Canonical correspondence analysis and multiple regressions indicated that all soil-chemistry variables significantly influenced discrete morphologies of oligotrophs. Oligotroph distributions were most congruent with soil-chemistry variation in three sites, whereas oligotrophic diversity in two sites did not adhere closely to measured environmental variables. While vegetation type may structure oligotroph communities at the two mid-elevational sites, abiotic constraints are drivers in low-desert sites.     

Forest Fire Alert System: a Geo Web GIS prioritization model considering land susceptibility and hotspots – a case study in the Carajás National Forest,Brazilian Amazon

To increase the monitoring potential of forest fires, an alert classification methodology using satellite-mapped hotspots has been established to help forest managers in the prioritization of which hotspot to be verified in the field, thus potentially improving the distribution of fire-fighting resources. A computer application was developed based on web-distributed geographical information technology whose main function is to interact automatically generated satellite hotspots and risk areas indicated in fire-susceptibility maps and classify them into five alert levels. The location of the hotspots is available continuously every 4 h, and a susceptibility map is produced daily through map algebra algorithm, which uses static (topography, vegetation and land use) and dynamic (weather) variables. Every process runs through automated geoprocessing routines. The methodology was tested during the dry period of 2007 in the Carajás National Forest, in the Brazilian Amazon, within an area of 400,000 ha. It is a critical area constantly threatened by fires caused by invasions and deforestation owing to intense agribusiness advances and mining activities in its surroundings. This situation results in observations of many hotspots inside the study area for the same day and almost the same time period, in places of extreme opposites, demanding complex rapid analysis and hindering the decision of the displacement of fire-fighting teams. Further, a major mining company operates within the National Forest area, maintaining actions of protection as part of its environmental mining license. Results are presented under three aspects: (i) the credibility of the daily susceptibility map (algorithm), which showed strong correlation between areas of greatest risks and the confirmed forest fires; (ii) the reliability of hotspots (alert levels), confirming 71% of fires; (iii) accuracy in the decision of which hotspot to be checked, which revealed the same number of verifications at different alert levels, 82% confirmed alert 5 hotspots (maximum) and only 50% from alert 1 (minimum), resulting in faster fire-fighting actions, minimizing burned areas and, in some cases, allowing fire control before its spreading. Therefore, the methodology demonstrated that GIS routines are able to determine the relationship between a reality-based, interpreted susceptibility map of the area and satellite-generated hotspots, highlighting the ones of highest hazard level through the alert classification, becoming an important tool to help decisions from the fire-control center, especially for high-risk regions. The methodology may be extrapolated to other forested areas.     

Incorporating spectral data into logistic regression model to classify land cover: a case study in Mt. Qomolangma (Everest) National Nature Preserve

Only few models for land-cover classification incorporated spectral data into ordinary logistic regression (OL model) in the Mt. Qomolangma (Everest) National Nature Preserve (QNNP) in China. In this study, spectral variables were incorporated into OL model and autologistic regression (AL) model to classify six main land covers. Twelve environmental variables and seven spectral variables of 10,000 stratified random sites in the QNNP were quantified and analyzed; OL model, AL model, OL model with spectral data (OLM model), and AL model with spectral data (ALM model) were estimated. The OLM and ALM models produced better estimates of regression coefficients and significantly improved model performance and overall accuracy for the grassland, sparsely vegetated land, and bare land compared with OL and AL models.     

地方坐标系到CGCS 2000的转换在电网GIS中的应用

随着国家电网公司空间信息服务平台的建设和2000国家大地坐标系(CGCS 2000)的启用,迫切需要将各省不同坐标系的空间数据统一转换到CGCS 2000,从而实现电网空间信息服务平台的纵向贯通及空间数据资源的整合和共享。本文根据电力GIS空间数据资源的特点及行业情况,阐述了电网GIS中现有成果从独立坐标系向CGCS 2000转换的实现,并提出了对转换成果的验证方法。     

Politics,Public Space,and Memorials: The Brawl on the Mall

This paper examines recent proposals for memorials and monuments on the National Mall in Washington, DC. Demands for memorials are increasingly at odds with the Mall's important role as open green space and public protest space. This article analyzes the broader issues embodied in the competing purposes of this highly visible public space by considering the recent controversy over the World War II Memorial. The controversy focused primarily on the location of the memorial. Opponents contended the World War II Memorial would interrupt or destroy the iconography of the National Mall. Supporters argued that the location selected for the memorial was consistent with its importance in U.S. history and that it deserved such a prized location in the central axis between the Lincoln Memorial and the Washington Monument. The article then analyzes the politics behind the site selection, and examines the debate about the impact of the memorial's location. It concludes that the location of the memorial was not accidental but intentional, and thereby reveals a purposeful re-writing of the Mall's symbolic space to suit a specific vision of the war and its meaning in American history. The article also contends that the location of the memorial represents an emerging social-political agenda that is prioritizing the Mall as a place of commemoration at the expense of open space, and, perhaps, at the expense of public protest space.     

“一带一路”沿线国家的自主贡献中水资源相关适应措施评估

“一带一路”沿线地区气候灾害类型多样,分布广泛,其中水资源短缺和洪涝灾害频发等水资源问题是“一带一路”沿线国家的主要气候风险之一。文中对“一带一路”沿线国家提交的国家自主贡献（NDC）中提出的水资源相关适应措施进行了分析评估。结果表明,气候变化及水资源相关风险已经受到了“一带一路”沿线国家的普遍关注,大部分国家都或多或少提出了针对性的适应措施,如优化水资源管理、提高水资源利用效率、强化监测预警、增加基础建设等。然而目前还存在一些不足之处,包括：以中东欧国家为主的部分“一带一路”沿线国家NDCs中缺乏适应相关的内容;西亚/中东和中亚地区对于风险关注的范围不够全面,缺乏对未来潜在洪水风险的评估和预案;在中亚、南亚和中东等水争端问题突出的地区缺乏合适的国际合作机制;大部分国家缺少对水环境的关注。为提高“一带一路”沿线国家气候适应能力,构建完善的气候适应体系,建议完善国家自主贡献报告、建立国际合作机制,增加对气候变化研究的关注和投入,保障“一带一路”建设绿色可持续发展。     

四川大巴山国家地质公园地质遗迹景观数据库平台构建

本文以四川大巴山国家地质公园为例,研究并构建了一套面向地质遗迹资源管理和景观规划辅助为主要目标的数据库管理综合平台.参照《中国国家地质公园建设技术要求和工作指南》(2002),建立了适合研究区地质遗迹景观的分类体系、编码规则和数据库.设计开发了基于SOA的数据库管理平台架构,并通过网络门户集成各项服务.经投入运行表明,...