Indicators for green spaces in contrasting urban settings

Urban green spaces (GS) are essential for the well-being of the population. Several works have shown a positive correlation between the amount of GS and the household incomes in both developed and developing countries. Thus, the higher the incomes, the larger the total area covered by GS, the better the quality of these spaces, the higher the amount of private GS. Public policies seek to correct this inequality, but existing indicators, especially the amount of GS per inhabitant, do not provide enough information for effective decision-making. Our aim was to provide tools to evaluate and plan better the location and quality of GS in complex urban areas. For this we applied a set of indicators for GS at two spatial scales city-level and local-level, in order to disclose existing inequalities. The indicators considered (i) the total area of GS in relation to population and urban context, (ii) the quality of GS based on its size, shape and vegetation cover, and (iii) the spatial distribution and accessibility of GS. The proposed indicators were tested in three municipalities, belonging to the Metropolitan Area of Santiago (Chile), with different household incomes. The indicators showed large differences in terms of quantity of GS per inhabitant, vegetation cover and accessibility. The GS proved to be an effective strategy to reduce areas that lack vegetation cover. The sustainability assessments must consider how the diversity of structural attributes of GS has an impact on the well-being of urban inhabitants.     

Assessing urban environmental segregation (UES). The case of Santiago de Chile

Urban environmental segregation (UES) would differentiate between the environment of poor people and the environment of rich people. We apply selected indicators for the urban environment, especially indicators of urban patterns and of urban environmental quality. These indicators will illuminate the social distribution of environmental quality and the socio-spatial exposure toward urban flooding. The comprehensive approach for the UES assessment is first, to analyze if land-use dynamics expands into areas with high environmental impact, second, to explore where and how social segregation is expressed in the study area, and third, to analyze different indicators for the urban environment. Therefore the key parameters for urban dynamics and UES are the built-up area, degrees of imperviousness, green spaces (indicators of urban patterns), environmental exposure and mitigations measures (indicators of environmental quality). They are linked to the indices of social segregation, i.e. isolation and concentration. The presented approach offers a new dimension in research of social segregation by adding the above mentioned aspects of the urban environment and so gaining a new assessment of UES.In the case of Santiago de Chile, the complex urban landscape is leading to fragmented socio-spatial configurations. The urban problems of Santiago de Chile cannot be framed in a purely social or environmental context. On a large scale it is investigated, if socio-spatial distribution is balanced and whether residents of different social groups have different spatial furnishing of green spaces, different built-up densities, and different exposure to natural hazards.We conclude that land-use dynamics in Santiago produce a higher urban complexity and fragmentation. In the in-depth study area we prove intra-municipal UES in close proximity. Furthermore, social segregation is accompanied by unequal distribution of environmental features. One spatial indicator is the uneven distribution of urban green. As a consequence, environmental differences between different social strata are extremely contrasting.     

Accessibility to greenspaces: GIS based indicators for sustainable planning in a dense urban context

The issue of accessibility to urban greenspaces is raising as one of the most debated in sustainable urban planning, especially in topics such as environmental justice and health inequalities. This is mainly due to the growing attention that is recognised today to health and well-being benefits from greenspaces. Different people interpret accessibility based on their individual needs and priorities, but it is generally acknowledged that access to greenspaces may be particularly beneficial for children, lower socioeconomic groups and for people with other mental/psychological illness. However, if accessibility is the measure of the ease of reaching valued destinations, clarifying its definition is an important pre-requisite for further analysis aimed at supporting urban planning choices on greenspaces.The following paper presents a set of accessibility indicators aimed at quantifying different measures of accessibility to existing open spaces for the city of Catania, south Italy, an urban context characterised by a general lack of greenspaces and high density of urban settlements.Proposed indicators are divided into two main categories: simple distance indicators (SIs) and proximity indicators (PIs). The first accounts for the number of people or users that can have access to a particular open space, while the second weights these people or users with the distance from their location to the open spaces. Indicators are calculated using different thresholds of Euclidean and network distances.Results show different scenarios in terms of rank of greenspaces accessibility, strongly influenced by chosen distance metric (Euclidean vs network) and thus emphasise a careful use of these indicators as planning support tools. Some practical implications of measuring accessibility for urban planning can be highlighted: for instance, specific land uses might be chosen for highly accessible open spaces, especially those characterised by a high proximity to residential settlements. Examples include allotment gardens, playgrounds and other informal green areas.     

Land abandonment as a precursor of built-up development at the sprawling periphery of former socialist cities

In former socialist countries, as cities expanded they permeated into nearby agricultural areas. The periphery then became a mosaic of built-up and agricultural patches. Due to small sizes, inconvenient shapes and scattered locations, the parcels often became unprofitable for agricultural use, and were later abandoned and frequently transformed into built-up areas. Our paper aims to assess whether agricultural land abandonment can be considered a valid precursor of built-up development. The periphery of Bucharest was chosen as the study area, and analyzed over a period of 11 years (2002–2013) based on data sets derived from aerial images. Logistic regression models were used to test whether land abandonment was a significant explanatory variable of built-up development along with other socio-economic, land use, and urban planning variables. The results showed that land abandonment has the potential to be considered a precursor of built-up development. It acts within a cause and effect framework, being influenced by ongoing economic transformations, and changes in urban regulations. Its addition as an explanatory variable in a built-up prediction model significantly increased the prediction power, which makes it a useful variable in urban land use change scenarios. The type of observed abandonment at the periphery of urban areas follows a different pathway compared to land abandonment observed in remote or rural areas. Here, land abandonment is the result of anticipated higher profits through new economic opportunities and urbanization. Monitoring of abandoned land and urban sprawl could enable local authorities to evaluate the outcomes of planning policies and economic incentives.     

Monitoring Urban Greenness Dynamics Using Multiple Endmember Spectral Mixture Analysis

Urban greenness is increasingly recognized as an essential constituent of the urban environment and can provide a range of services and enhance residents’ quality of life. Understanding the pattern of urban greenness and exploring its spatiotemporal dynamics would contribute valuable information for urban planning. In this paper, we investigated the pattern of urban greenness in Hangzhou, China, over the past two decades using time series Landsat-5 TM data obtained in 1990, 2002, and 2010. Multiple endmember spectral mixture analysis was used to derive vegetation cover fractions at the subpixel level. An RGB-vegetation fraction model, change intensity analysis and the concentric technique were integrated to reveal the detailed, spatial characteristics and the overall pattern of change in the vegetation cover fraction. Our results demonstrated the ability of multiple endmember spectral mixture analysis to accurately model the vegetation cover fraction in pixels despite the complex spectral confusion of different land cover types. The integration of multiple techniques revealed various changing patterns in urban greenness in this region. The overall vegetation cover has exhibited a drastic decrease over the past two decades, while no significant change occurred in the scenic spots that were studied. Meanwhile, a remarkable recovery of greenness was observed in the existing urban area. The increasing coverage of small green patches has played a vital role in the recovery of urban greenness. These changing patterns were more obvious during the period from 2002 to 2010 than from 1990 to 2002, and they revealed the combined effects of rapid urbanization and greening policies. This work demonstrates the usefulness of time series of vegetation cover fractions for conducting accurate and in-depth studies of the long-term trajectories of urban greenness to obtain meaningful information for sustainable urban development.     

基于Landsat-8影像的沿海城市公园冷岛效应——以厦门为例

城市公园主要由水体和绿色植被等景观构成,其形成的公园冷岛（Park cool island,PCI）已成为减缓城市热岛效应的重要途径之一。采用景感生态学中的景感营造理念规划设计城市公园或优化公园空间结构有助于增强公园冷岛效应,进一步改善局地城市热环境。选择沿海城市——厦门市为研究对象,基于2013年8月的Landsat-8 OLI/TIRS遥感影像和Google Earth高分影像数据,首先提取了研究区15个公园的土地利用信息,采用改进的地表温度单通道算法,获取了城市公园地表温度数据,并采用缓冲区分析、景观格局指数和多元统计等方法定量分析公园内部平均地表温度、城市公园冷岛强度（即降温幅度）、公园冷岛影响距离（即对周边区域的降温范围）三者的主要影响因子,并利用景感生态学原理初步剖析了城市公园景感营造的原则。结果显示：（1）公园面积和公园建设用地面积是影响公园平均温度的关键因子（R²=0.915）,这两个因子与公园平均温度均呈显著非线性相关;公园面积存在阈值55 hm²左右;（2）公园冷岛PCI强度由公园绿地面积、公园建筑面积和面积-周长形状指数（P/A）三个因子决定（R²=0.911）;公园冷岛PCI强度与公园绿地面积呈显著非线性正相关,与公园建筑面积呈显著非线性负相关,与面积-周长形状指数（P/A）呈显著线性负相关;在确保公园绿地面积达到一定阈值时,应该尽量降低公园建筑面积,增加公园形状复杂度,有利于其PCI强度的增加,缓解城市热岛效应;（3）公园冷岛影响距离由公园面积和公园水体面积比例决定（R²=0.719）,公园冷岛影响距离与两者呈显著正相关;绿地公园中提高公园水体的面积比例,有助于增大公园冷岛的影响距离;（4）城市公园的规划与设计,需要运用景感生态学的原理,从缓解城市热岛效应的角度,充分考虑公园大小、形状、土地利用类型组成比例及空间配置等因素。     

Classification and change detection of built-up lands from Landsat-7 ETM+ and Landsat-8 OLI/TIRS imageries: A comparative assessment of various spectral indices

Since the mid-1990s, various spectral indices have been proposed for the rapid and accurate classification of built-up lands from satellite imageries. However, a comprehensive comparison between these indices as applied to various satellite imageries is still lacking. Hence, this study examines and compares the performance of six spectral indices in the classification and change detection of built-up lands from Landsat-7 ETM+ (Enhanced Thematic Mapper Plus) and Landsat-8 OLI/TIRS (Operational Land Imager/Thermal Infrared Sensor) imageries. It includes three mid-infrared (MIR)-based indices, i.e. the urban index (UI), the normalized difference built-up index (NDBI), and the index-based built-up index (IBI), two proposed visible (Vis)-based indices, i.e. the VrNIR-BI and VgNIR-BI or the visible red/green-based built-up indices, and one thermal infrared (TIR)-based index, i.e. the normalized difference impervious surface index (NDISI). In addition, a water index, i.e. the modified normalized difference water index (MNDWI), was also derived. Otsu's method was used to separate water from the non-water areas on the MNDWI map. Subsequently, a water mask was produced and used to mask all the built-up index maps, leaving only the non-water areas. Using the same thresholding method, the non-water areas of all the built-up index maps were classified into built-up and non-built-up classes. The classification accuracy was assessed using 5000 reference points for each image. The results show that the VrNIR-BI, with an overall accuracy of 92.50% (Landsat-7) and 92.28% (Landsat-8), and the VgNIR-BI, with 92.78% (Landsat-7) and 92.14% (Landsat-8) overall accuracy, were more robust and superior. They were more accurate than the other indices by up to 8% for the Landsat-7 ETM+ image and 10% for the Landsat-8 image OLI/TIRS image. The qualitative assessment results also supported these quantitative findings. The results also show indications that the detected spatiotemporal urban LUC changes (i.e. built-up expansions) based on the VrNIR-BI and VgNIR-BI were also the most accurate. These indices, i.e. the proposed Vis-based indices, have better potential in separating built-up lands from dry vegetation, which has been an important challenge in the application of spectral indices for classifying built-up lands from satellite imageries.     

北京城市土地利用/覆盖变化及其对雨洪调节服务的影响

深入认识城市土地利用/覆盖变化对雨洪调节服务的影响对于提升城市生态系统服务和雨洪管理具有重要意义。基于多期Landsat遥感影像,利用混合像元分解与人工目视解译集成的方法提取了北京市1991—2014年的土地利用/覆盖数据,模拟评估了不同降雨情景下的地表产流与雨洪调节服务,并分析了城市建成区的土地利用/覆盖变化对雨洪调节服务的影响。结果表明:1991—2014年,北京城市用地面积增长了1096.53 km~2,建成区内不透水面比例上升了9.83%。城市建成区雨洪调节服务总体呈下降趋势,1a、10a、25a和100a一遇降雨情景下平均地表径流调节率分别下降了5.37%、2.40%、1.75%和1.04%,一定程度上加剧了城市的雨洪产流风险。同时,城市新扩张区的土地利用/覆盖变化对雨洪调节服务的影响较老城区更强,贡献度超过84%。建议未来城市新区发展应合理配置不透水地表和绿地空间以提升城市雨洪调节服务。     

Urban green space availability in European cities

Urban green space (UGS) availability has become an increasingly important aspect of planning and research because of the importance of green spaces for the wellbeing of urban residents. Municipalities across the European Union (EU) use different indicators in this area. Some cities provide per-capita threshold values for urban green space (UGS); some have recommendations regarding the minimum distance to green space while others have no recommendations at all. In this study, we assess green space availability in 299 EU cities according to land use and a population data grid. The results show a diverse picture across the EU. Southern European cities show below-average availability values, which may be explained by their low forest and tree cover and reflect the history of cities in Southern Europe. Comparatively, the above-average availability values in Northern European cities are a result of not only their biophysical conditions and the presence of rich forestland in general but also of Northern European attitudes toward urban living that naturally value having forests close to home.This assessment is complemented by a detailed case study analysis of two European cities ⿿ Berlin, Germany and ſódź, Poland. Results showed that this approach's explanatory power depends on the data used, scale of interest, resolution of data and estimated threshold value. By comparing results using different datasets and threshold values, we discuss opportunities and limitations for developing indicators of green space availability. We conclude that UGS availability is an important indicator to navigate urban complexity to improve human health and wellbeing but is only one component of the intricate social-ecological interactions within cities.     

福建省长汀县河田盆地区近35年来地表裸土变化的遥感时空分析

福建省长汀县河田盆地区是中国南方最典型的红壤水土流失区之一,当地人民和各级政府一直为治理该区的水土流失进行着不懈的努力.利用遥感技术对该区1976年以来地表裸土分布的时空变化进行了分析,基于所提出的双重遥感指数法对该区的裸土信息进行提取,查明了该区地表裸土分布的时空变化情况.研究表明,该区近35年的治理已大大减轻了地表的裸露程度,地表裸土面积从1976年的159.17 km2锐减到2010年的51.98 km2.在3个不同的观察时间段里,裸土面积的变化呈现逐次减少、减速加快的趋势,客观地反映了该区水土流失治理的3个重要历史时期和政策所产生的效应.     

环境因子对上海城市园林春季鸟类群落结构特征的影响

2004年3—5月,对上海8个园林绿地的春季鸟类做了研究。在调查中共观察到55种鸟类,其中留鸟31种,候鸟24种。运用回归与相关统计分析方法分析了鸟类群落结构和分布特征与8个园林绿地的公园面积、水体比例、植被种数、乔木层盖度、灌木层盖度、草本层盖度、地形坡度异质性、临主干道状况、人流量、行道宽度10项环境指标的关系。结果表明：(1)公园面积、植被种数、灌木层盖度、草本层盖度、地形坡度异质性、临主干道状况、行道宽度等7个因子在影响园林鸟类群落结构和分布中起关键性作用;(2)上海城市鸟类数量、多样性呈单一化趋势,而且公园绿地内大面积水体等建设方案并不利于鸟类的栖息。     

关中平原城市群扩张对生态用地的多尺度影响

城市扩张与生态空间保护的矛盾是新型城镇化和国土空间规划过程中急需解决的问题之一。作为黄河流域生态保护与高质量发展的核心区域,关中平原城市群面临更加严峻的生态和资源胁迫。但相关研究主要对研究区整体的生态环境变化进行测度,少有研究分析城市群发展对生态用地的多尺度影响,且忽略了城市群中土地变化最剧烈,生态受胁迫最严重的城市边缘区。因此,基于土地利用数据,结合土地利用转移矩阵、景观指数、估算城市扩张间接影响的生态用地面积等方法,研究从城市群、重点城市和主要城市边缘区3个尺度分析1990-2018年城镇扩张对生态用地的直接和间接影响。结果表明：（1）关中平原城市群土地利用类型以半生态用地（耕地）为主,面积占比超过40%。而城市边缘区主要以半生态用地和建设用地为主。1990-2018年城市群建设用地面积比例由3.67%增长至5.93%,耕地面积共计减少3032.11 km²,自然生态用地的面积增加628.03 km²。受耕地占补、退耕还林等多重政策的影响,半生态用地和自然生态用地的变化呈现为"拉锯式"发展特征。（2）城市扩张对半生态用地的直接影响大于对自然生态用地的直接影响,各尺度土地利用转移变化大同小异,新增建设用地的主要来源均为耕地,其中城市边缘区的耕地受城镇扩张的挤占最为突出。（3）城市扩张对自然生态用地的间接影响大于直接影响,且不同城市建设用地对自然生态用地的间接影响因耕地补偿机制的不同而有所差异。因此,对关中平原城市群实施"一刀切"的耕地补偿政策实际上并不合理,应当因地制宜,考虑地区土地资源条件,适当调整发展和约束政策,更有利于城市群的可持续发展。     

Seasonal patterns of habitat selection of the House Sparrow Passer domesticus in the urban landscape of Valencia (Spain)

The habitat selection and the factors influencing the distribution of the House Sparrow Passer domesticus in the municipality of Valencia (76 km²) were studied during the winter and breeding season. House Sparrows positively selected urban parks and gardens, patches of derelict land and horticultural fields; they avoided the built-up habitat and the orange groves. In the urban landscape, the abundance of sparrows peaked in areas providing intermediate cover of the built-up habitat; it was positively driven by the amount of park land per unit area, and negatively by the size of urban parks. Our results suggest that the conservation and habitat enhancement of even the smallest parks and gardens are likely key factors in addressing the decline of the House Sparrow in many cities.     

基于大气辐射校正的广州市植被覆盖度遥感估算

植被覆盖度是描述生态系统的基本参数,也是进行生态系统健康与安全评价的重要生态参数.基于1990、1995、2000和2005年4个时相的TM遥感数据源,以广州市为研究区域,运用减少大气辐射影响的植被指数计算模型,通过非监督分类及图像空间模型运算,修正了大气辐射校正参数,建立了植被覆盖度与校正植被指数的模型,估算了不同时期内广州市的植被覆盖度.结果显示,广州市植被覆盖度在1990—2000年的10年内持续下降,从2000年开始呈上升趋势,符合广州市的经济发展与环境建设实际.所建立的模型适合于区域植被覆盖度动态变化研究,且在植被覆盖度的动态变化特征研究方面有较大优势,其结果适于进行城市生态环境质量与动态评价.     

南瓮河自然保护区生态环境质量遥感评价

运用遥感技术,科学、快速地评价区域生态环境质量,能够为区域生态环境的保护、治理和规划等提供科学依据.本研究以1990、2000和2015年的Landsat TM/OLI/TIRS为数据源,使用主成分分析方法确定湿度分量、归一化植被指数、地表温度和干度指数4个指标的权重,运用遥感生态指数(RSEI)评价模型,对南瓮河自然保护区1990—2015年的生态环境进行评价.结果表明: 遥感生态指数能够较好地反映研究区生态环境质量状况及其时空分异;1990—2015年,保护区 RSEI均值由0.55上升至0.83,生态环境质量优良以上区域面积所占百分比逐年增加,这与该等级中森林所占比例增加有关;保护区生态环境质量变好的区域所占比例高达91.4%,这与保护区的建立及相关工程与非工程防护措施的实施密切相关;核心区、缓冲区北部生态环境质量下降的主要原因是火灾的发生导致森林植被遭到破坏,而道路附近和试验区的东南部生态环境质量的下降与人类活动的干扰密不可分.     

遥感和GIS支持下的城市植被制图及其特征分析

 以上海城市植被为研究对象,探索城市植被的分类理论和方法,提出一套适用于城市植被分类与制图的方法。根据城市植被信息获取的方式以及生态-外貌分类原则,建立了基于植物生活型的、可用图形表示的城市植被分类体系,分天然与半天然植被和人工植被两个大类,共有9个植被型和34个植被亚型。在遥感和地理信息系统(GIS)技术的支持下,建立研究区的城市植被信息数据库,并在此基础上对城市植被类型的特征以及与土地利用的关系进行分析比较,以期掌握城市植被类型的数量特征及其空间分布,同时按不同分类级别用计算机进行城市植被制图。城市植被     

基于夜间灯光数据的环杭州湾城市扩张及植被变化

综合运用遥感与GIS技术,基于2000、2007和2013年的DMSP/OLS夜间灯光数据和MODIS NDVI数据,利用灯光阈值提取法、植被指数分析等方法,研究环杭州湾地区城市扩张和建成区植被变化特征.结果表明: 采用最佳阈值方法,能够实现对城市地区用地信息的有效提取;环杭州湾地区城市用地整体围绕杭州湾呈“V”型模式扩展,并表现出面状、线状和点状3种扩张模式;从城市扩张速度、动态度和形态紧凑度来看,各地级市表现出较大的时空差异,但整个研究区的城市扩张速度和动态度普遍呈现降低趋势,平均城市形态紧凑度则经历了先下降后上升的过程.各城市建成区的植被状况也存在显著差异,2000—2007年,除嘉兴市建成区植被状况变差外,其余各地级市建成区植被状况均变好;2007—2013年,所有城市建成区植被状况变差;2000—2013年,城市扩张对建成区植被均产生了不利影响.     

济南市城市绿地可达性分析

以济南市1989、1996和2004年SPOT遥感卫星影像数据解译的城市绿地分类图、道路图和水系图为基础数据资料,在遥感(RS)和地理信息系统(GIS)技术支持下,运用景观可达性的概念与原理,采用费用加权距离方法,对济南市整体绿地系统和公园与广场绿地可达性的时空动态变化及其原因进行了分析。研究结果表明:1)济南市城市绿地的可达性不断提高与改善;2)济南市城市绿地可达性的空间格局变化明显,但仍不均衡、不太合理;3)城市绿地面积和斑块数量的不断增加、绿地分布格局的日益均衡和道路网的日臻完善是可达性不断提高的主要原因;4)城市绿地可达性分析是衡量城市绿地服务功能社会公平性的有力手段,充分体现城市建设“以人为本”的理念,是目前生态城市评价指标体系的必要补充。因此,城市绿地可达性分析结果可为合理调整与设计城市绿地系统提供科学依据。     

高原河谷城市植被时空变化及其影响因素——以青海省西宁市为例

高原型河谷城市具有特殊的自然地理与气候特征,生态环境脆弱,城市化引起的生态环境问题日益突出。植被作为其生态系统的载体,响应更加敏感。深入研究高原型河谷城市的植被变化及其影响因素,对促进西部大开发及城市化健康发展,建立良好的城市人居、生态环境具有重要的现实意义。西宁市作为典型的高原型河谷城市,植被覆盖在城市化与退耕还林(草)政策共同作用下变化明显。基于植被-不透水表面-土壤(V—I—S)模型,以西宁市城市规划区1995年与2009年两期landsat TM影像为数据源,利用线性光谱混合模型进行混合像元分解,获取研究区植被覆盖度的空间分布。通过整体分析、转移矩阵分析,格网分析等技术手段,研究植被时空变化特征并分别探讨川道与丘陵植被变化的影响因素。结果表明:研究期内,西宁城市规划区平均植被覆盖度维持在30%左右。2009年与1995年相比植被覆盖度出现下降,植被覆盖空间差异略有减小。在数量上,基本无覆盖、中覆盖、高覆盖等级呈增加趋势,低覆盖、全覆盖呈下降趋势。研究区西北部及西南部丘陵区植被覆盖整体趋于好转,主要由中低丰度植被等级变化而来,原因在于2000-2005年湟中县累计退耕还林(草)54.91km~2,累计造林247.98km~2,使研究区西北部植被覆盖等级提高,表明西宁市退耕还林(草)工程对于改善植被覆盖效果明显。同时丘陵区植被变化与气候影响趋势相同,表明其植被变化可能也受气候变化影响。城市扩展方向及强度对其周边植被覆盖的影响突出。市区快速扩张及农业退化使川道内中高丰度植被覆盖整体退化趋势明显。主要原因在于2000年后西宁进入快速发展期,城市用地规模迅速增大,川道内城市周边大量中高覆盖等级植被转变为基本无覆盖等级,造成植被退化。川道内城市区域植被变化与气候影响趋势相反,表明本文研究结果可能低估了城市化对川道内植被变化的影响幅度,相比气候影响,人为活动的影响更加强烈。研究区内植被覆盖等级的变化趋势为植被覆盖较差的等级(基本无覆盖和低覆盖)向高一级别发展,得益于退耕还林(草)工程;中等级别以上的覆盖等级出现一定程度的退化,尤其是位于川道中受到城市化干扰的区域植被退化问题尤为突出,需对这些区域采取植被保育措施,避免植被覆盖高等级区域受到城市化影响造成不可逆转的退化。     

京津冀地区城市化对植被覆盖度及景观格局的影响

定量研究了2000—2010年,京津冀地区植被覆盖度及其景观格局的动态变化,揭示了城市化进程对植被景观的干扰过程及生态质量的影响。结果表明:(1)2000—2010年,城市化进程显著是京津冀城市群土地变化的一大特点,人工表面面积从2000年的1.79×10~4km~2增加至2.16×10~4km~2,增幅高达21.16%;(2)京津冀平均植被覆盖度呈增加趋势但不显著(P=0.46),存在明显的时空动态差异。在覆盖度结构上形成了以中低和中植被覆盖度为主导的格局;(3)从景观空间格局变化来看,中低、高覆盖度区域植被景观更加破碎,而低、中等覆盖度区域的植被面积增加,景观破碎度减小;尤其是低植被覆盖度为主的城市区域,景观格局变化幅度大,表现为绿地面积有所增加,景观破碎化程度降低,生态质量有所改善;(4)在整个研究区范围,城市化对区域植被覆盖度存在负面影响,表现为城市化程度与区域平均植被覆盖度存在负相关(P=0.08);但是在低植被覆盖度的区域(主要为城市区域),城市化程度与植被覆盖面积呈显著正相关(P0.001),表明城市区域在城市化进程中植被覆盖面积有所提高,生态质量有所改善,与城市化过程中,日益重视城市绿地的建设有关。