近30年吉林市景观格局变化及气候效应

在ArcGIS、ENVI、Excel和FRAGSTATS软件支持下, 利用景观指数中的斑块数量、最大斑块指数、斑块密度、周长面积分维数、聚集度和香农多样性指数, 对1980年、1995年和2010年的吉林市景观格局进行了分析。结果表明:近30年间吉林市斑块数量、斑块密度、周长面积分维数和香农多样性指数呈先增加后减少的趋势, 聚集度呈先减少后增加的趋势, 最大斑块指数逐渐减少;林地景观面积、草地景观面积一直在减少, 湿地景观面积呈先增加后减少趋势, 旱田景观面积逐渐增加。在东北地区气候变化背景下, 吉林市景观格局的变化对该区气候产生了一定的影响, 使该区气温上升、降雨量减少。吉林市景观格局变化与气温、降雨量变化的空间分布格局有较好的对应关系。     

松嫩流域湿地景观动态变化

以1975、2000、2007年遥感影像为数据源,应用RS与GIS技术,运用动态度模型景观梯度和景观格局指数,对松嫩流域湿地景观信息进行动态分析。结果表明:松嫩流域湿地总面积从25 574.94km2(1975年)减少到18 152.58km2(2000年)后增加到25 761.01km2(2007年),动态度由-1.21%增加到了5.99%。天然湿地景观梯度(DI)总体呈收缩的趋势,人工湿地反之,梯度最高值由37持续增加到了69,50DI≤70的高值分布区从无到有,在2007年共有高值区5处。湿地的香农多样性指数增加了0.210 3,景观多样性增加,斑块破碎程度加剧;香农均匀性指数增加了0.097 2,聚集度指数减少了8.005 1,湿地景观在空间配置上趋于零碎和分散,连接程度减少。人工湿地的斑块密度大幅增加,面积加权的平均斑块分形指数略大,具有较高的不规则程度。     

官司河流域景观结构变化及其分形研究

利用1995年森林资源分布图和2005年IKONOS遥感影像构建了土地利用GIS数据库,通过利用分形理论对官司河流域的各景观要素进行分析,结果表明:①耕地和林业用地面积占绝对优势,是该区域景观的基质,土地利用类型变化较大,林地、道路、水域的面积不断扩大;②建筑用地、水域和耕地的多样性指数最大,优势度也较为明显,而各类林业用地多样性指数和优势度均较小;③林地和耕地的分维数大于其它景观类型,而稳定性指数小于其它类型,说明这两种景观类型分布较为复杂和不规则,稳定性较差,建筑用地和水域的分维值较低,接近于"1",说明这两种类型分布规模较小,斑块较为规则;④从分维数的动态变化来看,除道路和水域这两种景观类型减少外,其它景观类型都增加,表明人类对这几种类型的利用程度更加复杂化。     

塔里木河下游生态输水后植被景观格局动态变化研究

2000-2005年, 塔里木河流域管理局先后7次向塔里木河下游断流区进行了生态输水, 输水河道两岸的植被得到了一定的恢复. 以2000-2005的中巴资源卫星CCD影像为主要数据源, 获得了6 a的植被/非植被二值图, 并计算各年的景观格局指数, 分析了6 a植被景观格局的变化. 结果表明: 植被景观动态度在第四时段(2003-2004年)最大, 为47.83%; 在第三时段(2002-2003年)最小, 为-1.39%; 2000-2005年植被景观的动态变化呈正向趋势. 2000-2005年, 植被景观斑块个数与景观形状指数增加, 蔓延度指数下降了36.9, 斑块结合度指数均高于99, 表明研究区的植被景观破碎化程度、分离程度增加, 而景观类型联通性较高. 植被斑块面积均处于增加趋势且远离河道植被恢复率越小, 但植被景观的比重仍小于50%, 说明非植被类型是研究区的基质类型, 组成了景观的最大斑块. 针对缓冲区Zone 1, 植被景观的平均分维数处于减小趋势且2005年的斑块个数最小, 斑块结合度指数处于增加趋势, 表明近河道区域植被较为稳定, 受生态输水的干扰度较小, 植被景观斑块之间越来越聚集. 6 a间Zone 1的植被最大斑块指数均大于10%, 远高于其它5个缓冲带, 表明离河道越近植被景观的优势度最大.     

1985-2014年漓江流域景观格局动态变化研究

文章以漓江流域为研究对象,应用1985年、2000年和2014年3期遥感影像,提取土地利用数据,采用土地利用动态度、土地利用转移矩阵等方法,分析1985-2014年漓江流域土地利用的演变趋势;结合Fragstats4.2景观分析工具,识别了该流域景观格局的动态变化。结果表明:1985-2014年,漓江流域土地利用整体变化幅度不大,主要表现为林地、耕地和草地面积减小,湿地、居民及城乡建设用地和未利用土地面积增加,且变化集中发生在2000-2014年。同时景观水平上破碎化和复杂化程度加剧,聚集程度和斑块连续程度有待提高;类型水平上林地景观破碎化层度增加,耕地和草地斑块面积增加,湿地和居民及城乡建设用地的聚集度较高,分布集中。     

辉长岩韵律层厚度的分形结构与模拟计算——以攀枝花层状侵入体为例

运用分形理论对四川攀枝花层状侵入体的韵律层厚度进行分维计算, 并结合计算机模拟手段, 对韵律层理的成因进行了探讨.通过分形计算表明, 攀枝花层状侵入体的韵律层在厚度上具有分形结构, 其分维数介于1.4~1.8之间, 不同级别韵律层的厚度分维数不同, 韵律演化的级别越高, 厚度分维数越大.通过模拟计算的韵律色度分维数与实测韵律层的厚度分维数比较接近, 变化规律也比较相似, 这不仅说明在韵律的演化过程中, 厚度和色率之间有一定的内在联系, 也说明了重力在韵律形成机制中是一个重要的影响因素.地球的重力作用与地球的其他物理化学作用在空间和时间上耦合, 形成了这种具有时空分形结构的韵律现象.      

2005-2015年贵阳市生境退化程度对土地利用变化的响应

基于2005和2015年贵阳市土地利用数据,利用InVEST模型,分析了2005-2015年贵阳市生境退化程度对土地利用变化的响应,结果表明:（1）2005-2015年贵阳市城镇建设用地、农村居民点和有林地大幅增加,水田和旱地大幅下降,其他地类变化相对较小;水田和旱地转化为城镇建设用地、农村居民点和有林地最为突出;（2）10年间,贵阳市生境退化程度以下降为主,生境退化程度增加区主要分布在南部,下降区主要分布在北部、东部和西部;（3）生境退化程度热点变化以低值减少和高值减少为主;生境退化程度热点空间变化主要分布于南部。退耕还林政策及快速城镇化引起的水田和旱地转化为有林地、城镇建设用地和农村居民点是导致该区生境退化程度变化的主要因素。      

资源型城市景观生态风险的时空分异:以乌海市为例

为探究大型露天煤矿开采对西北干旱荒漠区景观生态风险的影响,以及资源型城市转型背景下的时空动态,以资源衰退型的内蒙古自治区乌海市及周边县域为研究区,结合现有景观生态风险评价中的干扰度、脆弱度指标,增加受威胁指数来综合构建资源型城市景观生态风险评价框架。基于乌海市2005—2015年景观类型数据,从时间和空间上分析景观生态风险及其动态。结果显示:(1)2010—2015年景观类型之间转移相较于2005—2010年更剧烈,年变化强度分别为7.43%和3.44%,工矿用地与城市建设用地最活跃,但年增加强度减小。(2)林地、水域和湿地损失度先略增加后大幅度减小,其他土地和草地损失度呈增加趋势,工矿用地先减小后略增加;城市建设用地和工矿用地受威胁指数最大,其余类型的景观受威胁指数均有上升趋势,但其他土地、水域和湿地增加趋势逐渐减慢。(3)2005—2015年景观生态风险指数升高,空间分布总体呈西、中部高而南北低的格局,而不同等级风险区表现为低风险区由边缘向中心转移,而高风险区依托原有高风险区扩展。研究期风险区变化显著的是西部沙地高风险区,矿区东部其他土地因周围分布灌丛和草地,风险始终低于西部其他土地。根据不同风险等级中工矿用地的面积占比情况,将工矿用地占比控制在5%以内可达到控制总体景观生态风险的目的。研究为资源型城市通过合理的景观配置进行生态风险管控提供了依据。     

长江下荆江段分形学特征与河道演化

采用盒数维法对长江下荆江各不同时期河道岸线的分形学特征进行探讨。研究表明,下荆江河道岸线的盒数维介于1078~123之间,较黄河、海河、滦河等河流的维数要小,相当于黄河下游和长江下游平原区的维数,反映出下荆江河段是高成熟度的河段。这与长江中游地区的其他河段不相称,可能是由江汉-洞庭湖平原长期沉降所造成。河道裁弯之后,河道岸线由复杂变简单,分维数显著减少。裁弯取直事件发生在分维数值为119~123之间,即分维数可作为河道突变事件发生的一个预警参数。     

浙江省土地景观格局演变及其生态服务价值效应分析

开展土地利用景观格局演变及其生态系统服务价值效应研究,可明晰区域生态环境功能状况并促进生态系统健康发展。基于土地利用遥感影像解译数据,分析浙江省1995～2015年土地景观格局演变及其生态系统服务价值效应,并探究景观格局指数与生态服务价值间的相关性。结果表明:(1)20年间浙江省土地景观变化剧烈,耕地和林地面积减少,城镇村用地、水域与草地面积增加。建设用地动态度增幅达8.21%,耕地和林地变化度为负。林地和耕地向建设用地单向转移量最大,其次是耕林地二者间的转化。(2)土地斑块分散、聚合和连通状况变化多样,景观格局时空演变复杂化。耕地和草地破碎度高,建设用地优势度上升,以林地和耕地为主导的景观格局逐渐向城市景观转变。(3)生态服务总价值呈先增后减趋势,共损失103.18亿元。空间上ESV极高值和高值区面积减小,中值与低值区逐渐蔓延,生境质量浙西南优于浙北与东南沿海区域。(4)生态服务总值与最大斑块数、结合度和聚合度呈强正相关,与斑块数、平均邻近距离和香农多样性呈强负相关。据此建议:未来土地规划应重视景观格局空间配置对生态服务功能的影响,增强生态系统对环境变化的适应力和稳定性,优化区域三生用地结构,以促进经济—社会—生态环境的协调发展。     

额济纳绿洲近20年来土地覆被变化

土地利用/土地覆被变化研究是近年来全球环境变化研究的焦点之一。根据黑河下游额济纳绿洲土地生态分类,利用1982年与2000年2期TM遥感数据对比和野外实地调查,采用景观生态空间分布格局分析方法,分为河岸乔木林、河岸灌草林、荒漠稀疏灌丛、荒漠稀疏草地、河道与水域、盐碱化土地、城镇、戈壁、流动沙丘和剥蚀地山丘陵, 从各类土地分布面积变化和类型转移趋向与幅度两个方面,分析了额济纳绿洲20年来土地覆被变化。结果表明：①土地覆被类型结构发生了较大变化,河岸乔木林面积萎缩了0.97％、斑块数减小了376,而河岸灌草林增加了0.92％,数量减小1 316;而％LAND指数荒漠稀疏灌丛由4.49％增加到5.65％,由于中游来水量的锐减,河道和水域的斑块数由40个减少到6个,％LAND指数减小了0.15％。与此同时流动沙丘％LAND指数增加了0.42％。②近20年来以胡杨为主的河岸乔木林和荒漠稀疏草地减小了45.02％和14.55％,相应地以柽柳为主的河岸稀疏灌草地和荒漠稀疏灌丛增加了35.03％和25.88％;河岸乔灌林向河岸灌草林景观转移概率为45.95％,向荒漠稀疏灌丛和稀疏草地转移了0.78%和3.01％,向戈壁转移了10.87%;河岸灌草林景观类型向河岸乔灌林转移8.06％,向稀疏灌丛和稀疏草地转移10.95%和19.64%,向戈壁转移11.88％;③额济纳绿洲具有从河岸乔木→河岸灌草地→荒漠稀疏灌丛快速演化的趋势。     

50余年来岩溶山地近郊村域土地利用与景观格局演变——以贵州省清镇市王家寨地区为例

选取贵州省清镇市近郊村域王家寨地区为研究对象,在GIS支持下,利用该区域1963年、1982年、2005年、2010年和2015年5期土地利用图形数据叠加分析,提取出研究区50余年来的土地利用/覆盖信息,并结合相应的社会经济统计数据,分析了其驱动力因子,其结果表明:(1)1963—2015年间,土地覆盖类型的总体变化为高被草地和平坝旱耕地明显减少,低被草地、农村居民点、工矿用地、公路用地面积大幅增加,其中,平坝旱耕地有向经济效益更高的土地利用方式转变的趋势;（2）景观格局演变的总体趋势是:自1963年起,斑块数量、斑块密度持续增加,到2015年呈下降趋势,而最大斑块指数逐年减小,形状趋于不规则,同时,近50年景观的多样性指数持续增加;（3）区内土地利用/覆盖和景观格局呈阶段性变化,从1963年到2005年,坡地土地利用活动较强,2005年后,平地土地利用强度增加、农业逐渐转型、聚落持续扩展;（4）区内土地利用及景观格局的变化主要受经济、人口和政策因素的影响。      

The relationship between land surface temperature and land use/land cover in Guangzhou,China

The integration of remote sensing, geographic information system, landscape ecology and statistical analysis methods was applied to study the urban thermal environment in Guangzhou. Normalized Difference Vegetation Index (NDVI), Normalized Difference Build-up Index (NDBI), Normalized Difference Barren Index (NDBaI) and Modified Normalized Difference Water Index (MNDWI) were used to analyze the relationships between land surface temperature (LST) and land use/land cover (LULC) qualitatively. The result revealed that, most urban built-up lands were located in the middle part, and high LST areas mostly and were in the middle and southern parts. Therefore, the urbanization and thermal environment in the middle and southern parts need to be determined. Land surface temperature increased with the density of urban built-up and barren land, but decreased with vegetation cover. The relationship between MNDWI and LST was found to be negative, which implied that pure water would decrease the surface temperature and the polluted water would increase the surface temperature. A multiple regression between LST and each indices as well as the elevation was created to elevate the urban thermal environment, which showed that NDVI, NDBI, NDBaI, MNDWI were effective indicators for quantifying LULC impacts on LST.     

Using landscape indicators and Analytic Hierarchy Process (AHP) to determine the optimum spatial scale of urban land use patterns in Wuhan,China

Quantifying land use patterns and functions is critical for modeling urban ecological processes, and an emerging challenge is to apply models at multiple spatial scales. Methods of determining the optimum scale of land use patterns are commonly considered using landscape metrics. Landscape metrics are quantitative indicators for analyzing landscape heterogeneity at the landscape level. In this study, due to their widespread use in urban landscape analyses and well-documented effectiveness in quantifying landscape patterns, landscape metrics that represent dominance, shape, fragmentation and connectivity were selected. Five metrics include Patch Density, Contagion, Landscape Shape Index, Aggregation Index and Connectivity. Despite a wide application of landscape metrics for land use studies, the majority mainly focuses on the qualitative analysis of the characteristics of landscape metrics. The previous models are limited in exploring the optimum scale of land use patterns for their lack of quantitation. Therefore, taking the City of Wuhan as an example, the land use unit was treated as a patch, and the landscape pattern metrics at different spatial scales were calculated and compared so as to find the optimum one. Furthermore, a mathematical model of landscape metrics was proposed to quantify the scale effect of urban land use patterns, generating a complementary tool to select the optimum scale. In addition, Analytic Hierarchy Process (AHP) was introduced to determine the respective weights of the chosen landscape metrics in this model. Fractal dimension was ultimately applied to verify the chosen optimum scale of our study region. The results indicated that 60 m is confirmed to be the optimum scale for capturing the spatial variability of land use patterns in this study area.     

Dynamics of land use/cover changes and the analysis of landscape fragmentation in Dhaka Metropolitan, Bangladesh

Rapid urban expansion due to large scale land use/cover change, particularly in developing countries becomes a matter of concern since urbanization drives environmental change at multiple scales. Dhaka, the capital of Bangladesh, has been experienced break-neck urban growth in the last few decades that resulted many adverse impacts on the environment. This paper was an attempt to document spatio-temporal pattern of land use/cover changes, and to quantify the landscape structures in Dhaka Metropolitan of Bangladesh. Using multi-temporal remotely sensed data with GIS, dynamics of land use/cover changes was evaluated and a transition matrix was computed to understand the rate and pattern of land use/cover change. Derived land use statistics subsequently integrated with landscape metrics to determine the impact of land use change on landscape fragmentation. Significant changes in land use/cover were noticed in Dhaka over the study period, 1975–2005. Rapid urbanization was manifested by a large reduction of agricultural land since urban built-up area increased from 5,500?ha in 1975 to 20,549?ha in 2005. At the same time, cultivated land decreased from 12,040 to 6,236?ha in the same period. Likewise, wetland and vegetation cover reduced to about 6,027 and 2,812?ha, respectively. Consequently, sharp changes in landscape pattern and composition were observed. The landscape became highly fragmented as a result of rapid increase in the built-up areas. The analysis revealed that mean patch size decreased while the number of patches increased. Landscape diversity declined, urban dominance amplified, and the overall landscape mosaics became more continuous, homogenous and clumped. In order to devise sustainable land use planning and to determine future landscape changes for sound resource management strategies, the present study is expected to have significant implications in rapidly urbanizing cities of the world in delivering baseline information about long term land use change and its impact on landscape structure.     

Spatio-temporal evolution of rocky desertification and its driving forces in karst areas of Northwestern Guangxi, China

Rocky desertification (RD) is a process of land degradation that often results in extensive soil erosion, bedrock exposure and considerable decrease of land productivity. The spatio-temporal evolution of RD not only reflects regional ecological environmental changes but also directly impacts regional economic and social development. The study area, Hechi, is a typical karst peak cluster depression area in southwest China. Remote sensing, geographic information systems (GIS) and statistical techniques were employed to examine the evolution, including the identification of driving forces, of karst RD in the Northwestern Guangxi. The results indicate that RD became most apparent between 1990 and 2005 when areas of various types of RD increased. Within the karst RD landscape, slight RD was identified as the matrix of the landscape while potential RD had the largest patch sizes. Extremely strong RD, with the simplest shape, was the most influenced by human activities. Overall the landscape evolved from fragmented to agglomerate within the 15-year timeframe. Land condition changes were categorized as five types; desertified, recovered, unchanged, worsened, and alleviated land. The largest turnover within the RD landscape was between slight and moderate RD. With regards to the driving forces all RD had been increasingly influenced by human activities (i.e., the stronger the RD, the stronger the intensity of human disturbances). Dominant impact factors of the RD landscape had shifted from town influence and bare rock land in 1990 to bare rock and grassland in 2005. Moreover, the impacts of stony soil, mountainous proportion and river density on RD increased over time, while that of others decreased. The significant factors included human activities, land use, soil types, environmental geology, and topography. However, only anthropogenic factors (human activities and land use) were reported as leading factors whereas the others acted simply as constraining factors.     

典型岩溶湖泊湿地流域景观格局动态变化及趋势预测

岩溶湖泊湿地流域作为景观格局变化的热点研究区域,探讨景观格局动态变化及预测趋势,为岩溶流域生态安全研究提供科学依据。应用遥感与地理信息系统技术,结合普者黑岩溶湖泊湿地流域实际情况,分别对该地区1990、1995、2000、2005、2010、2015 年6 期遥感影像进行分类、解译,系统地获取地区景观格局状况,分析动态变化特征,并运用CA-Markov 模型对未来湿地景观格局进行模拟预测。结果表明:1990?2015年普者黑岩溶湿地流域景观格局随时间变化显著,景观破碎化程度总体呈现增加趋势,斑块数（NP）从861增加到889,景观类型的优势斑块面积在逐渐增加,而多样性指数从1.064下降到0.966;2020?2030年普者黑岩溶湿地流域建筑用地、农地和湿地景观类型面积在增加,农地和林地在减少,其中,较为突出的是建筑用地占有率由2.79%上升到2.97%,农地占有率60.12%增加到60.74%,湿地占有率6.67%上升7.02%,而林地占有率由26.70%下降到26.40%。景观格局进行预测可以发现湿地面积、建筑用地面积和农地变化幅度最大,本文相关研究和预测结果可为普者黑流域生态保护提供一定的建议和参考。      

Mapping land cover change of the Luvuvhu catchment, South Africa for environmental modelling

Considerable land cover changes have occurred in the Luvuvhu catchment in northeastern South Africa in the past two decades. These changes are associated with human population growth and may be contributing to observed reductions in winter river baseflows and increased episodes of river drying within Kruger National Park. Six-class land cover maps of the catchment were created from 1978 (MSS) and 2005 (TM) Landsat imagery using an iterative technique. Results indicate a 1,000 km² (12%) increase in Bare Ground between 1978 and 2005, with a concomitant decrease in shrubland and indigenous forest cover. Overall classification accuracy in the 2005 image was 80%. Classification was most accurate for Water and Pine classes (100 and 92%) and least accurate for Indigenous Forest (46%), primarily due to misclassification as Shrubland. These maps are suitable for land cover change and landscape modeling analyses, and can serve as baseline data for further research.     

Geospatial modeling to identify the effects of anthropogenic processes on landscape pattern change and biodiversity

This research used geospatial data to quantify biodiversity changes and landscape pattern change to track anthropogenic impacts of such changes at the Mouteh Wildlife Refuge (MWR), Isfahan, Iran. Satellite image duration of four decades, LandSat_1-5, and IRS-P6 data were used to develop land cover classification maps for 1971, 1987, 1998, and 2011. The number and size of land cover patches, the degree of naturalness, and the diversity indices were calculated and compared for a 40-year period. The results showed an increasing concern with regard to unplanned human activities. Some improvements of the natural landscape also occurred in the core protected zone of the study area. The number and size of land cover patches, the degree of naturalness, and the diversity indices were calculated. Overall changes in natural land use between 1971 and 1998 at MWR showed that the number of patches for natural land use has increased, but it also showed a decrease in 2011. Similar changes were observed for seminatural land use. Within the artificial classes, the number and area of patches were higher and the largest patch occurred in 2011. The maximum variation of diversity is related to the year 2011. The results showed an increasing concern with regard to unplanned human activities. Some improvements of the natural landscape also occurred in the core protected zone of the study area. Remote sensing and geographic information system offers an important means of detecting and analyzing temporal changes occurring in our landscape.