京津冀都市圈热环境空间格局遥感分析

以京津冀都市圈热环境为研究对象,利用MODIS数据获取了2001、2004、2006和2008年的地表温度,通过温度距平图定性分析京津冀都市圈不同时间、不同城市的热岛强度及变化规律;利用景观学知识,参考热力景观空间格局评价体系,选取缀块个数(NP)、蔓延度指数(CONTAG)和香农多样性指数(SHDI)等对北京、天津两市的热环境空间格局进行了定量描述.结果表明,2001～2004年间北京热力景观格局趋于分散(除夏季外),2004年后逐渐呈集聚状态;夏季北京的热力景观格局异于其它季节,2004年的最为集聚,而2008年的较往年破碎,热场极分散;天津市热力景观格局变化趋势不太明显.     

基于遥感的城市景观生态环境格局分析

借助RS和GIS技术,获取研究区城市的景观生态格局指标,运用定量分析的方法对各种生态类型在城市化进程中对景观格局的作用进行了研究。揭示了部分生态类型持续减少将对生态平衡造成破坏的情况,为城市的职能部门提出生态环境建设的建议和措施。     

连云港连岛海滨旅游度假区三维地形景观图制作

本文以连云港市连岛为例,利用1∶250 00地形图在Arcview GIS中建立DEM,采用ERDAS IMAGINE良好的三维显示功能,在自定义的投影坐标系统下,通过DEM和遥感正射影像的叠加,生成三维地形景观图,同时阐述了三维地形景观图是一种由基础测绘数字产品相互组合而形成的一种新型的复合测绘产品,并展望了三维地形景观图的应用前景.     

基于RS和GIS的宁夏灵武市景观生态研究

基于遥感（RS）和地理信息系统（GIS）技术,以中巴资源卫星图像为基本数据源,利用ERDAS Imagine 8．4对图像进行波段组合、优化、增强,然后用hrcview GIS3．2对图像进行解译,最后综合运用景观生态学理论和方法,对典型农牧交错生态脆弱区的灵武市2000～2006年生态景观格局动态变化进行了研究。     

福建兴化湾围填海湿地景观生态影响研究

基于遥感与GIS技术,运用景观生态学的原理与方法,选取景观特征指数,通过历史回顾和类比分析,从景观自然性和景观破碎化两个方面,分析了兴化湾围填海工程对湿地景观生态造成的影响及其生态效应.历史上兴化湾围填海工程造成滩涂湿地景观萎缩、景观自然性急剧下降,斑块面积缩小、斑块隔离程度增大、景观破碎化程度加剧;兴化湾围填海规划的实施,将使得兴化湾湿地景观生态人工化与破碎化的趋势进一步加剧,其最终后果将可能导致兴化湾生物多样性下降、生态服务功能严重衰退.     

Distribution patterns of chlorophyll <Emphasis Type="Italic">a</Emphasis> in spring and autumn in association with hydrological features in the southern Yellow Sea and northern East China Sea

Two field studies were conducted to measure pigments in the Southern Yellow Sea (SYS) and the northern East China Sea (NECS) in April (spring) and September (autumn) to evaluate the distribution pattern of phytoplankton stock (Chl a concentration) and the impact of hydrological features such as water mass, mixing and tidal front on these patterns. The results indicated that the Chl a concentration was 2.43±2.64 (Mean ± SD) mg m^?3 in April (range, 0.35 to 17.02 mg m^?3) and 1.75±3.10 mg m^?3 in September (from 0.07 to 36.54 mg m^?3) in 2003. Additionally, four areas with higher Chl a concentrations were observed in the surface water in April, while two were observed in September, and these areas were located within or near the point at which different water masses converged (temperature front area). The distribution pattern of Chl a was generally consistent between onshore and offshore stations at different depths in April and September. Specifically, higher Chl a concentrations were observed along the coastal line in September, which consisted of a mixing area and a tidal front area, although the distributional pattern of Chl a concentrations varied along transects in April. The maximum Chl a concentration at each station was observed in the surface and subsurface layer (0–10 m) for onshore stations and the thermocline layer (10–30 m) for offshore stations in September, while the greatest concentrations were generally observed in surface and subsurface water (0–10 m) in April. The formation of the Chl a distributional pattern in the SYS and NECS and its relationship with possible influencing factors is also discussed. Although physical forces had a close relationship with Chl a distribution, more data are required to clearly and comprehensively elucidate the spatial pattern dynamics of Chl a in the SYS and NECS.     

黄河三角洲湿地景观格局动态变化分析

在RS和GIS技术的支持下,以黄河三角洲1986,1996,2006年的三期TM影像为数据源,利用遥感图像处理软件对近代黄河三角洲湿地信息进行了提取.借助于地理信息系统软件和景观生态学软件,我们对20年来黄河三角洲湿地景观格局的动态变化,以及影响其格局动态变化的驱动力进行了分析.结果表明:(1)近20年来,人工湿地面积有了大幅度的增加,而天然湿地的比重在降低.其中,滩涂和柽柳灌草丛景观明显萎缩.(2)一些重要的景观格局指数的计算结果表明,20世纪90年代以来,黄河三角洲湿地景观斑块个数、香农多样性指数、香农均匀度指数一直在增加.黄河三角洲湿地景观的破碎化程度在加剧,斑块类型更加多样化,湿地景观中没有明显的优势类型且各斑块类型在景观中均匀分布.(3)湿地与湿地、湿地与非湿地之间发生着类型转化.其中,18.1%的芦苇草甸转化为农田;26.6%的翅碱蓬草甸转化为盐田;11.9%的芦苇沼泽转化为芦苇草甸.(4)在黄河三角洲湿地演化的过程中,受到自然和人为方面演化驱动力的共同作用.其中,自然因素主要有:黄河断流、泥沙淤积和自身演替动力等.人为驱动力主要为农田开垦、滩涂的开发与围垦、油田开发和人工建筑等.     

黄河三角洲湿地景观格局变化及其对生态系统服务的影响

利用RS和GIS技术分析黄河三角洲湿地景观格局变化,并评价其对区域生态系统服务的影响。结果表明,2004年该区湿地总面积为2 929.76 km^2,与1992年相比,增加354.26 km^2,湿地斑块总数增加120个;滩涂和苇草地面积减少,但仍是黄河三角洲湿地的优势景观类型;1992-2004年黄河三角洲区域非湿地与湿地之间面积转化剧烈,主要表现为非湿地转化为苇草地、水库,面积分别为324.90 km^2和189.16 km^2,而湿地类型之间面积转化相对较小。对该区湿地生态系统服务的定性评价表明,黄河三角洲湿地景观结构的剧烈变化会影响区域生态系统服务,特别是对其主要服务———物种多样性维持的影响会加剧该区生物多样性丧失风险,使濒危物种的保护难度加大。     

Landscape Dynamics and Driving Factors in Da＇an County of Jilin Province in Northeast China During 1956-2000

The landscape pattern of Da＇an County, Northeast China has undergone significant changes since the 1950s as a result of climatic change and human activities. The aim of this paper is to quantitatively study landscape pattern and its spatial dynamics of Da＇an County at the landscape level over the nearly 50-year span. Patch dynamics were examined according to land use and land cover change processes built from a series of images, as well as topographic maps, and temporal patterns built from landscape pattern metrics. The transition matrix of landscape patch types and changes of various landscape metrics were applied. The results showed that, from 1956 to 2000, the landscape within the study area had undertaken a complicated evolution in landscape structure and composition. The outstanding characteristic is that saline-alkali land increased and grassland decreased. As some smaller patches amalgamated, the heterogeneity of patch decreased. All those changes were the synthetic result of both climatic and anthropogenic influences, but the predominant factor was different in different parts. In the southern part of the study area, the landscape pattern changes resulted from the modification of climate obviously, while in the northern part, the landscape pattern changes were mainly caused by human activities, such as the conversion between farmland and saline-alkali land. This phenomenon showed that human activities played more important role in the north than in the south of Da＇an County.     

Landscape Effects of Land Consolidation Projects in Central China——A Case Study of Tianmen City,Hubei Province

The goal of land consolidation in China is still to develop agricultural production. The study of landscape effects of land consolidation projects （LCPs） faces many difficulties because of the lack of government＇s interest and data. This paper, taking Tianmen City of Hubei Province in Central China as an example, presents a methodology for analyzing landscape effects of LCPs by GIS and Fragstats3.3. It describes landscape effects with indexes of Patch Density （PD）, Largest Patch Index （LPI）, Landscape Shape Index （LSI）, Interspersion and Juxtaposition Index （IJI）, Aggregation Index （AI）, and Shannon＇s Diversity Index （SHDI）, showing more regular shape, simpler structure and less habitat diversity after LCPs. It computes ten landscape indexes of four categories of patches including Cultivated Land, Road, Water Channel, and River and Pond. The indexes show that 1） cultivated land becomes more fragmental in patch area, less irregular in patch shape and more concentrated in block; 2） the transport capacity of roads and irrigation and drainage capacity of water channels have been improved; 3） the landscape change of river and pond can be summarized as decreasing scale, more regular shape, reducing connectivity and diversity of the class. LCPs can facilitate agricultural production as well as protect cultivated land and food security. However, it is doubted that the increase of cultivated land from LCPs results from the reducing in landscape diversity of water area.