基于遥感数据的生态脆弱区森林景观分类及格局研究——以香格里拉为例

以Landsat-7 ETM＋为数据源,在遥感（RS）和地理信息系统（GIS）技术的支持下,对云南省香格里拉县北部进行森林景观分类及其景观结构分析。结果表明,研究区以针叶林为主要森林景观,阔叶混交林的形状结构较为松散,景观破碎化程度最严重,人为干扰强烈。因此,需加强森林保护,减少人为干扰,防止景观破碎化程度的进一步加深。     

基于高分辨率遥感影像的城市土地利用景观格局分析

以IKONOS卫星遥感影像为基础数据源,在GIS技术的支持下,获取了泸州市区的土地利用类型。借鉴景观生态学的基本原理和方法,基于Fragstats 3.3软件,用景观格局指数定量分析了泸州市区土地利用景观格局的特征。分析结果表明,泸州市区土地利用景观类型丰富,景观多样性程渡高,景观类型均匀程度也较高,但优势景观类型不明显;由于人类干扰程度较大,土地利用景观破碎,稳定性较差。     

石油开发对辽河油田湿地景观格局变化的影响分析

通过对1989-2009年20年间景观格局的空间分布、变化特征以及变化趋势分析,揭示了造成双台子河自然保护区环境变化的主要驱动力是人类活动和社会经济发展的影响,定量计算了石油开发对研究区域景观格局变化的影响。结果显示:1989-2009年双台河口自然保护区的土地利用类型发生了很大的变化,景观破碎度明显增加,人类活动导致保护区内的土地利用和景观格局也发生了明显变化,但油田开发在总的土地利用变化中的贡献率仅为4.6%。     

基于TM影像的石羊河流域土地利用变化研究

根据1999年和2010年两期影像数据,在遥感软件EDARS IMAGINE9.1的支持下对图像进行技术处理,通过计算机自动分类方法提取土地利用信息,将石羊河流域土地利用类型分为耕地、草地、林地、建筑用地、水域及未利用地,同时利用数学模型和景观生态学理论,分析了石羊河流域土地利用变化的时空特征和格局变化。研究结果表明,1999-2010年间耕地和未利用地的面积变化最大,变化量占到总流域面积的比例分别为3.94%和2.42%;水域、林地、耕地的土地利用动态度明显,依次为3.06%,1.82%和1.12%;11年间草地、耕地和水域的流转较为剧烈,变化速率较快;11年间石羊河流域的土地利用偏离度为持续缓慢下降的趋势,下降幅度达到0.04,土地利用活动对自然景观的干预趋于缓和;景观优势度增大,景观多样性和景观均匀度有所减少,人类活动对景观格局影响明显;人口、经济因素和政策因素在短时间尺度上对土地利用变化的影响较为显著。     

Organic planning: the intersection of nature and economic planning in the early Tennessee Valley Authority

During the 1930s, the New Deal revolutionized the role of the federal government in American life. This change was particularly acute in the use and management of natural resources. Between 1933 and 1941, the Tennessee Valley Authority (TVA) helped to define a new relationship between American government and modern concepts such as regional planning. New scientific understandings based in ecology found expression in the hydro-electric development along the Tennessee River. With a strong commitment to aesthetics and ecology, early TVA designs helped to introduce the category ‘organic planning’ that has come to define contemporary environmental planning worldwide. Copyright © 2002 John Wiley & Sons, Ltd.     

Correlation Between Economic Development Level and Landscape Pattern in Beijing Peri-urban Areas

With the rapid changes of demographic and socio-economic structure, various ecological and environmental problems have emerged in peri-urban areas. Studies on the correlation between socio-economic development and eco-environmental preservation are inadequate. This paper analyzes the landscape pattern of peri-urban areas to address this issue. First, it studies the differentiation of economic development levels in Beijing peri-urban areas. Then, it explores the correlation between economic development level...     

城市景观格局与大气颗粒物污染的关系研究

随着城市化和工业化发展,大气颗粒物对城市空气环境造成了严重污染,选取西安市作为研究区,分析不同时间和空间尺度下城市景观格局与大气颗粒物污染的关系。通过GIS软件、Fragstats4.2软件和SPSS软件对西安市2014年土地利用数据和2014年整年的大气颗粒物监测数据进行分析,结果显示,西安市土地利用类型分布较为集中;西安市大气颗粒物浓度的空间分布特征为浓度从市中心至城郊呈梯度递减趋势,在整体上呈现西北高于东南的倾向,大气颗粒物污染物浓度峰值基本都集中出现在建设用地范围内(PM10:102.7μg/m^3;PM2.5:99.7μg/m^3);相关性结果证实了城市景观格局与大气颗粒物浓度的空间分布特征。研究结果为中国西部内陆城市大气颗粒物污染控制、土地利用规划以及生态建设提供参考。     

道路景观生态安全研究

基于道路景观对生态环境的5方面影响,即对生物及生境的影响、对环境的物理影响、对环境的次生影响、对大尺度景观的影响及综合影响,提出保障道路景观生态安全的策略,主要应从道路及其网络规划设计和建设、交通政策、法规的制定与执行、生态工程措施、道路的使用与管理等几个方面加以考虑。笔者认为,要减少和缓解道路对生态环境的影响,环境影响评价是基础、生态道路及其网络建设措施和有效使用管理是手段、制定相关法律法规是依据;同时指出,我国未来应以高速公路的开发建设为契机,在实践中应用并促进道路景观生态安全的研究,带动中国道路建设事业的和谐发展。     

人类活动影响下喀斯特区域景观格局梯度分析

在ARCGIS和景观结构分析软件FRAGSTATS 3.3的支持下,分析了喀斯特区域广西环江县不同人类活动强度样带1988年和2005年2个时期的景观格局变化特征,以及2005年研究区4种主要景观类型的格局特征随人类活动强度的梯度变化规律。研究结果表明,环江县景观分布不均匀,林地是研究区的基质景观类型;在景观水平上,随着人类活动强度的降低,样带景观的破碎化程度降低,形状复杂程度升高,景观斑块的分布趋于集中;在景观类型水平上,研究区4种主要的景观类型在梯度带中能够很好的反映出格局的变化特征,其中,各景观类型的面积比重、破碎度和分维数随人类活动强度的梯度变化趋势较为明显,聚集度和连通性的梯度变化幅度相对较小。研究揭示了景观格局沿人类活动强度的梯度变化规律,可为研究区自然资源的合理开发及可持续发展提供参考。     

Assessing the spatial distribution of grassland age in a marginal European landscape

Grassland age is increasingly recognised to be an indicator for present-day biodiversity, e.g. plant species richness, and is also important for other landscape functions. We developed a methodological approach to systematically assess the spatial distribution of grassland age in marginal European landscapes. This approach - applied to the Lahn-Dill Highlands (1270 km(2)), a marginal landscape in Hesse, Germany - comprises three steps: (1) in a two-stage stratification process, we pre-stratified the study area according to recent land-cover patterns and their changes between 1955 and 1995 (stratification I) and classified grassland types by combining data on soil moisture, base-richness, and elevation (stratification II). From 50 grassland types, we randomly selected 1000 representative grassland patches. (2) We determined the age of these patches by means of aerial photograph interpretation of a chronosequence dating back to 1953 and classified each patch with respect to the age classes young (<18 years), mid-aged (18-47 years), and old (>47 years). (3) Based on this information, we calculated grassland type-specific probabilities for grassland patches to belong to the respective age classes. These probabilities were projected to districts by direct extrapolation. An exemplary validation of extrapolation results for two test areas was performed. The results revealed that 49% of the investigated patches were old grassland. The remaining patches were mid-aged (36%) or young grassland (15%). The extrapolation results indicated accordingly a predominance of old grassland at the district scale. Occurrences of mid-aged grassland were concentrated in districts with a pronounced land-cover change, whereas young grassland is apparently evenly distributed across the study area. Validation results suggest that our approach is suitable for a realistic estimation of grassland age in marginal European landscapes. The method may be applied in landscape models of various disciplines that rely on large-scale information on grassland age.