北疆城市居住小区植物配置调查研究——以乌鲁木齐为例

通过对乌鲁木齐高、中、低3档居住小区宅间绿地、道路绿地、公共绿地、中心绿地的植物现状进行实地调研,在大量统计数据的基础上研究其植物配置,针对乌鲁木齐城市绿地植物配置现状进行定量分析评价,提出乌鲁木齐市不同绿地类型的优化配置模式。     

西湖风景区植物造景的多样性与统一性浅析

植物景观的建设无法避免丰富性与整体性、多样性与统一性之间的矛盾,各具特性的配置模式影响着区域景观的发展。围绕西湖风景区选取典型案例,对比研究2种植物造景模式中的植物选择、空间营造、配置模式在不同空间尺度下的关系,阐述这2种配置模式的特性与优劣,着重从大、中、小3个尺度下探讨其在城市绿地中的应用模式和应用价值,以期为未来中国城市绿地植物景观的营造与提升提供借鉴。     

基于景观空间视觉感受的城市湿地植物景观营造

城市湿地的植物景观,不仅满足城市绿地的生态功能,还为游览者提供亲近自然的机会与美的享受。通过分析景观空间的视觉感受,探讨植物景观的营造方法。从景观空间尺度、景观空间色彩两个角度出发,按照湿地植物景观的配置类型进行阐述。     

新疆城镇住区植物配置研究

城镇住区植物配置研究可提高住区绿化品质,使住区环境美观、舒适。现对新疆石河子149团4个城镇住区内的植物配置群落进行调查,从生态性、美学性、服务性3个方面对其进行评价。结果表明:新疆城镇住区植物配置中应重点考虑树种多样性、乡土性等生态指标及植物形态、色彩、季相等美学指标。根据以上结果,对城镇住区内的各类绿地进行植物配置模式的研究,以期为其它绿地的植物配置提供参考。     

榆林市城市绿地景观植物与配置设计

通过对榆林市绿地景观中常用植物资源的分析,探讨了城市绿地植物配置设计原则,应根据植物的生物学特性科学地、有机地、合理地搭配应用,以期优化榆林市绿地景观植物与配置设计。     

浅谈城市绿地植物景观建设及植物配置

随着现代城市建设的不断升级优化,城市的生态环境建设也越来越受到人们的重视。由于城市建筑结构、环境发展、气候土壤等因素,城市绿地建设需充分考虑其植物的生态特性,使之能与城市本身的生态环境相融合,不断优化城市的植物配置,保证城市园林绿地建设的良好发展。就城市绿地建设和植物配置进行探讨分析,提升城市园林建设的发展水平,实现园林绿地植物与城市生态的和谐发展。     

风景园林施工中的植物选择及配置

近些年大庆地区大力发展风景园林事业,城市绿地面积也在逐年增加。风景园林施工中,其建设主体是植被,因此如何做好植物选择和配置工作,是需要重点考虑的问题。基于此,本文结合大庆土壤、气候条件,分析风景园林施工中的植物选择与配置方法。     

基于城市绿化植物综合评价及生态效益提高途径分析

城市绿地系统中绿化植物是重要的组成基础,不仅充分体现出城市绿地系统的生态效益,还可以根据综合评价标准提高城市绿化植物生态效益。本文围绕城市绿化植物综合评价以及生态效益提高途径展开讨论,对提高城市绿化植物生态效益提供参考依据。     

城市植物绿化的配置和养护管理

本文应用于城市公园、道路绿化及居住区绿地等园林分项工程建设。结合城市园林植物应用频度及典型植物造景方法,就城市绿地的园林植物配置进行了以下几点总结,并对园林植物养护管理提出了相应的工作建议。     

苏州古典园林植物配置游客满意度研究

选取苏州古典园林中以植物配置为主要造景要素的3个代表性样本点,通过文献分析、学科交叉、问卷调查与实地考察的方法,从影响植物配置景观效果的植物自身特质、植物间关系、植物营造意境3个维度共选择了7个评价指标进行游客满意度调查。以了解游客对古典园林植物景观的需求与喜好,并希望从游客审美偏好视角对苏州古典园林植物景观的维护以及现代仿古园林的设计提供一定建议与参考。     

“绿量”在城市绿化中的应用研究

通过概述绿量概念的发展过程,介绍了绿量指标从二维平面到三维空间的进步,阐述了绿量概念和提出的意义,介绍了城市三维绿量的测算方法,指出了现在研究中存在的问题。希望通过对绿量概念的进一步阐述,将人们的思维引入到如何充分利用有限绿化空间、科学配置植物及对植物的生态效益进行量化的层面,进而营造较好的绿化模式,提高城市绿地的整体生态效益。     

Effect of urban green patterns on surface urban cool islands and its seasonal variations

Urban green spaces often form urban cool islands (UCIs), which are important for human health and urban sustainability. Previous studies have emphasized the cooling effects of urban green spaces on their surrounding areas at landscape level. Less attention, however, has been directed to effects of urban green space patterns on their own UCIs at patch level. In this study, we focused on the effects of spatial patterns of urban green patches on their own surface UCIs. The urban green spaces of Beijing, China, were extracted from one QuickBird image and were classified as Trees, Shrubs, Grass, Crops, River and Lake. Land surface temperatures (LSTs) were derived from four Landsat images, each in one season. The UCI was represented by the minimum LST of each urban green patch. Results showed spatial patterns of urban green patches had significant effects on their UCIs in four seasons. In detail, the size, edge and connectivity of urban green spaces all affected the UCIs negatively, and the influence was stronger in warm seasons. Shape of urban green space also had effects on UCIs, but the effects were stronger in cool seasons. Great differences were found between predictive values of metrics for different green types. Shape metrics were more important for indicating UCIs of River, Trees and Crops than were patch size and connectivity. However, patch size and connectivity metrics were more effective in determining UCIs of Shrubs, Grass and Lake than were shape metrics. Further, among shape metrics, only shape index was a good indicator of UCIs. The results of this study suggest that a combination of specific urban green types and pattern metrics are a prerequisite for analyzing the influence of urban green patterns on UCIs and for urban green design.     

城市绿地防灾避难功能评价指标体系研究

我国城市绿地经过多年的发展,已具有一定的系统和规模.目前,关于城市绿地系统的研究已不鲜见,但城市绿地防灾避难功能的研究才刚刚起步.现探讨城市绿地防灾避难功能评价指标体系,希望给城市防灾减灾体系建设提供规划和决策参考.     

城市园林绿化中存在的问题及对策探析

根据目前国内城市绿化植物选择和应用存在的问题,提出了城市园林绿化中存在的问题,探讨了选择和配置植物对发展城市绿化的作用以及对策。     

城镇密集区植物景观评价体系建立与营建指导

将绿地设计规范指标与景观评价相结合,提出了以定量指标为评价基础,采用层次分析法原理来确定指标权重,结合定性指标的修定作用,客观地评价植物景观的体系。并在评价的基础上,提出一些切实可行的创造优秀景观的方法。     

城镇密集区生态绿地中近自然植物群落的应用

以生态学的自然植被和群落演替的基本理论为依据的城市"近自然"植物群落理论在城镇密集区的绿地建设中越来越重要。在成都市植物多样性调查和"近自然植物群落"理论为基础的前提下,以青龙场片区为例,提出适合成都市城镇密集区的近自然植物群落的营建模式,对城市生态绿地系统结构的优化和组合有一定的理论和实际意义。     

城市绿地土壤质量评价指标研究进展

城市绿地具有改善城市生态环境和美化城市景观、改善城市空气质量、调节小气候、降低城市灾害发生等多种生态功能。文章对城市绿地的概念、分类、功能,城市绿地土壤质量评价指标,如城市绿地土壤质量的理化性状、微生物学特性研究进行综述。     

青岛八大关园林植物多样性研究

把植物生态学的研究方法应用于园林植物群落,调查分析青岛八大关公共绿地园林植物群落的物种多样性,结果表明:八大关公共绿地有园林植物93种,隶属于42科69个属,其中频度较高的主要是刺槐、紫荆和砂地柏.乔木Margalef丰富度指数平均值为2.05,灌木Margalef丰富度指数平均值为1.36,Shannon-Wienner多样性指数为3.69,Pielou均匀度指数为0.93,可以看出乔木层比灌木层丰富度高,多样性指数相对较高.     

Evaluating the risk of accessing green spaces in COVID-19 pandemic: A model for public urban green spaces (PUGS) in London

The pandemic caused by SARS-CoV-2 (COVID-19) at the beginning of 2020 has restricted the human population indoor with some allowance for recreation in green spaces for social interaction and daily exercise. Understanding and measuring the risk of COVID-19 infection during public urban green spaces (PUGS) visits is essential to reduce the spread of the virus and improve well-being. This study builds a data-fused risk assessment model to evaluate the risk of visiting the PUGS in London. Three parameters are used for risk evaluation: the number of new cases at the middle-layer super output area (MSOA) level, the accessibility of each public green space and the Indices of Multiple Deprivation at the lower-layer super output area (LSOA) level. The model assesses 1357 PUGS and identifies the risk in three levels, high, medium and low, according to the results of a two-step clustering analysis. The spatial variability of risk across the city is demonstrated in the evaluation. The evaluation of risk can provide a better metric to the decision-making at both the individual level, on deciding which green space to visit, and the borough level, on how to implement restricting measures on green space access.     

Investigating the spatial distribution of urban parks from the perspective of equity-efficiency: Evidence from Chengdu,China

Urban parks play a crucial role in urban public green infrastructure, providing recreational places for urban residents while carrying values of aesthetics, ecology, humanities, economy, life, and society. However, achieving an equitable and efficient spatial layout of urban parks is a challenging task due to limited urban space resources, which requires further exploration. This study employed multisource big data and GIS technology to constructed an indicator system for evaluating the equity-efficiency of urban park spatial distribution. We examined the spatial distribution of 85 parks across 62 sub-districts in the main urban area of Chengdu, the largest city in western China and the first Park City of China. The results demonstrated that equity was polarized, with an indicator value ranging from 0 to 0.77 and an average value of 0.32. The sub-district of Sansheng had the highest equity, while Wenjia and Kanghe had the lowest equity. Twenty-one sub-districts had no parks, and the equity of park spatial distribution in these areas was low. The efficiency indicator ranged from 0.20 to 0.62, with an average value of 0.40. The efficiency of the main urban area was high in the southwest and low in the northeast. The sub-district of Huangtianba had the highest efficiency, while Jinguanyi had the lowest efficiency. In the two-dimensional quadrant of equity-efficiency, 24 sub-districts had high equity and high efficiency, 13 sub-districts had high equity and low efficiency, 4 sub-districts had low equity and high efficiency, and 21 sub-districts had low equity and low efficiency. At the district level, only Chenghua District’s park was spatial equitable and efficient, surpassing the average level of the main urban area. Finally, we discussed the findings in the context of planning policies for Chengdu in recent years. We proposed that strengthening the construction of small urban parks and green spaces, improving park facilities to meet the diverse social needs of people, and enhancing the quality and attractiveness of the parks are crucial for the future development of park green spaces in the main urban areas of Chengdu.