共查询到18条相似文献,搜索用时 171 毫秒
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在GIS技术和卫星遥感资料的支持下,利用景观格局分析软件FRAGSFATS3.3分析了揭阳市惠来县1994-2001年的土地景观格局的动态变化,并分别在类型水平上和景观水平上选择了部分景观指数。计算结果表明,破碎度趋向加深,景观结构和斑块形状复杂性增加(尤以林地和其它用地严重);景观稳定性增加,优势度减少;景观多样性有所提高,受人类干扰程度加深,说明惠来县城市化速度快,处于城市发展的初期;各景观要素又有不同的景观动态特征。 相似文献
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以1987年和2000年TM影像为数据源,在ENVI 4.4平台下提取淮北市(相山建成区)1987-2000年土地利用/覆盖动态变化信息,利用FRAGSTATS 3.3软件提取研究区的斑块指数、多样性指数、优势度、破碎度、分维度及形状指数等景观格局指标,并进行分析. 相似文献
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《中国环境管理干部学院学报》2017,(5)
为了探讨生态移民安置区土地利用的景观格局特征,以及研究区不同土地利用的变化,以宁夏回族自治区红寺堡区为研究区,选取1995年、2005年和2015年三期遥感影像数据,运用RS和GIS技术分析了该区域的土地利用的景观格局变化特征,定量分析了几种常用景观格局指数随尺度的变化规律。结果表明:红寺堡区土地景观要素占绝对主导地位的是草地,其次为耕地;各类土地景观变化较为复杂,总体而言,红寺堡区土地景观正朝着破碎度、异质性程度增加的趋势发展。 相似文献
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新疆艾比湖流域平原区景观土壤属性特征研究 总被引:1,自引:0,他引:1
以新疆艾比湖流域平原区为对象,在对研究区进行景观生态分类及野外调查验证的基础上,利用"3S"技术将1∶100×104的新疆土壤类型图与研究区景观类型图叠加,从土壤属性层次上对研究区各类景观的生态土壤类型进行确认,并分析其在研究区内分布的特征。结果表明:研究区主要土壤类型为26类,以石膏灰棕漠土所占比例最大,占研究区总面积的19.03%,棕钙土、荒漠风沙土、草甸盐土、盐化草甸土、和灌耕灰漠土等面积也较大。 相似文献
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选取内蒙古东乌珠穆沁旗满都胡宝拉格草甸草原为研究区,在遥感和GIS技术的支撑下,以景观生态学理论为指导,通过分析该地区近15年来四个时期景观类型的空间格局、演化态势和变化规律,从景观视角挖掘出格局信息与生态环境变化之间的内在关联性,运用马尔科夫链模型对未来草原景观格局变化的趋势进行了模拟和预测,并分析了该地区生态环境变化的驱动机制,为科学利用和保护草地资源、保证区域可持续发展提供了科学依据。 相似文献
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《青海环境》2015,(4)
土地利用/土地覆盖变化研究是全球环境变化和可持续发展的热点问题。文章选取了青海省玛多县2005年、2009年和2013年Landsat卫星影像数据,利用GIS技术和景观格局分析软件相结合的方法,对玛多县近九年来该区土地利用/土地覆盖变化、景观结构与格局进行分析,并结合Markov模型,预测玛多县未来十几年间土地利用景观格局演变特征。结果表明,草地是玛多县最主要的土地利用类型;2005~2013年,玛多县草地和人工用地面积增加,人工用地动态度最大;土地利用/覆盖类型总变化面积为12 983.87km2。2005~2009年玛多县景观异质性不断减小,空间连接性增加,景观团聚程度高,各类型斑块分布较集中;2009~2013年玛多县景观异质性增强,景观破碎化程度高、团聚程度低;景观趋于多样化和丰富化。 相似文献
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《资源开发与市场》2017,(12)
矿产资源的开采虽然使资源型城市的社会经济迅猛发展,但也造成了环境污染和景观安全格局破坏。以资源型城市武安市为研究区,基于"源—汇"理论和最小阻力模型,确定武安市的"生态源"和"干扰源",构建综合阻力面,提取重要生态廊道,分析其景观安全格局状况。研究结果表明:(1)"生态源"集中分布在武安市西部自然保护区,中东部分布较少且连通性差;(2)矿产资源开采区的生态阻力值较大,交通建设对生态过程扩展起阻碍作用;(3)生态廊道网络布局特征明显,南、北氵名河连贯东西,南北方向因生产建设干扰强烈出现断层;(4)矿区周围生态用地破碎严重,应将生态规划与城市规划、矿区规划相结合,整体上保护资源型城市的景观生态安全格局。 相似文献
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利用3S技术和景观生态学原理,以小流域为单元对秦皇岛市土地利用结构和土壤侵蚀等级类型进行空间分析,得出了不同土地利用结构所占面积和不同土壤侵蚀类型所占面积及分布小流域,并详细分析了秦皇岛市土壤侵蚀的主要影响因子和不同土地利用结构侵蚀现状。 相似文献
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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。 相似文献
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Herzog F Lausch A Müller E Thulke HH Steinhardt U Lehmann S 《Environmental management》2001,27(1):91-107
This investigation tested the usefulness of geometry-based landscape metrics for monitoring landscapes in a heavily disturbed
environment. Research was carried out in a 75 sq km study area in Saxony, eastern Germany, where the landscape has been affected
by surface mining and agricultural intensification. Landscape metrics were calculated from digital maps (1912, 1944, 1973,
1989) for the entire study area and for subregions (river valleys, plains), which were defined using the original geology
and topography of the region. Correlation and factor analyses were used to select a set of landscape metrics suitable for
landscape monitoring. Little land-use change occurred in the first half of the century, but political decisions and technological
developments led to considerable change later. Metrics showed a similar pattern with almost no change between 1912 and 1944,
but dramatic changes after 1944. Nonparametric statistical methods were used to test whether metrics differed between river
valleys and plains. Significant differences in the metrics for these regions were found in the early maps (1912, 1944), but
these differences were not significant in 1973 or 1989. These findings indicate that anthropogenic influences created a more
homogeneous landscape. 相似文献
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The pattern of innovation in the global minerals industry is changing as the industry becomes increasingly globalised. In this paper, we look at the structure of innovation in the industry and the drivers of change. We first consider the broad international trends and then examine these more closely with special reference to the Australian industry. Issues addressed include the apparent decline in corporate research and development spending, changing patterns in research collaboration and outsourcing, and the uptake of information and communication technologies in the industry. We also look at the potential implications of these trends for step-change technological developments and at the role of technological innovation in the future development of the industry. 相似文献
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Agricultural expansion and deforestation are spatial processes of land transformation that impact on landscape pattern. In
peninsular Malaysia, the conversion of forested areas into two major cash crops—rubber and oil palm plantations—has been identified
as driving significant environmental change. To date, there has been insufficient literature studying the link between changes
in landscape patterns and land-related development policies. Therefore, this paper examines: (i) the links between development
policies and changes in land use/land cover and landscape pattern and (ii) the significance and implications of these links
for future development policies. The objective is to generate insights on the changing process of land use/land cover and
landscape pattern as a functional response to development policies and their consequences for environmental conditions. Over
the last century, the development of cash crops has changed the country from one dominated by natural landscapes to one dominated
by agricultural landscapes. But the last decade of the century saw urbanization beginning to impact significantly. This process
aligned with the establishment of various development policies, from land development for agriculture between the mid 1950s
and the 1970s to an emphasis on manufacturing from the 1980s onward. Based on a case study in Selangor, peninsular Malaysia,
a model of landscape pattern change is presented. It contains three stages according to the relative importance of rubber
(first stage: 1900–1950s), oil palm (second stage: 1960s–1970s), and urban (third stage: 1980s–1990s) development that influenced
landscape fragmentation and heterogeneity. The environmental consequences of this change have been depicted through loss of
biodiversity, geohazard incidences, and the spread of vector-borne diseases. The spatial ecological information can be useful
to development policy formulation, allowing diagnosis of the country’s “health” and sustainability. The final section outlines
the usefulness of landscape analysis in the policy-making process to prevent further fragmentation of the landscape and forest
loss in Malaysia in the face of rapid economic development.
相似文献
Adnan A. HezriEmail: |
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Effect of Land-Use Patterns on Total Nitrogen Concentration in the Upstream Regions of the Haihe River Basin, China 总被引:3,自引:0,他引:3
Nutrient loading into rivers is generally increased by human-induced land-use changes and can lead to increased surface water pollution. Understanding the extent to which land-use patterns influence nutrient loading is critical to the development of best-management practices aimed at water-quality improvement. In this study, we investigated total nitrogen (total N) concentration as a function of land-use patterns and compared the relative significance of the identified land-use variables for 26 upstream watersheds of the Haihe River basin. Seven land-use intensity and nine landscape complexity variables were selected to form the land-use pattern metrics on the landscape scale. After analyzing the significance of the land-use pattern metrics, we obtained five dominant principal components: human-induced land-use intensity, landscape patch-area complexity, area-weighted landscape patch-shape complexity, forest and grassland area, and landscape patch-shape complexity. A linear regression model with a stepwise selection protocol was used to identify an optimal set of land-use pattern predictors. The resulting contributions to the total N concentration were 50% (human-induced land-use intensity), 23.13% (landscape patch-shape complexity), 14.38% (forest and grassland area), and 12.50% (landscape patch-area complexity), respectively. The regression model using land-use measurements can explain 87% of total N variability in the upstream regions of Haihe River. The results indicated that human-related land-use factors, such as residential areas, population, and road density, had the most significant effect on N concentration. The agricultural area (30.1% of the study region) was not found to be significantly correlated with total N concentration due to little irrigative farmland and rainfall. Results of the study could help us understand the implications of potential land-use changes that often occur as a result of the rapid development in China. 相似文献