Xin Li , Xiaoma Li , Jean-Michel Guldmann , Zhengwu Cai , Wei Liao , Chun Yang , Qingdong Qiu
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The method was tested in the subtropical city of Changsha, China, considering air temperature (AT) and humidity. Its effectiveness was also tested using widely available land surface temperature (LST) datasets while considering different spatial resolutions of the UGS map (i.e., 1–10 m) and different analytical units (i.e., 1 km<sup>2</sup> grid and township census tract). Finally, the generalizability of this method was validated with data on six other representative Chinese cities. The results show that: (1) The estimated MEE widths for temperature and humidity in Changsha are about 8 m and 6 m, respectively. (2) The approach obtains consistent MEE widths irrespective of temperature types and analytical units. (3) A high spatial resolution UGS map (i.e., 1 m) is recommended for higher accuracy. (4) This approach effectively identifies MEE width in six other representative Chinese cities (Beijing, Chengdu, Shanghai, Shenyang, Wuhan, Xi’an), demonstrating its generalizability. This novel approach provides an easy and fast method to identify the MEE width at the landscape scale, which can help (1) better understand the relationship between UGS fragmentation and the urban microclimate, and (2) better plan and manage UGS to improve the urban microclimate.</p></div>","PeriodicalId":49394,"journal":{"name":"Urban Forestry & Urban Greening","volume":null,"pages":null},"PeriodicalIF":6.0000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel approach to identify the microclimatic edge effect width of urban green spaces at the landscape level: A case study of Changsha, China\",\"authors\":\"Xin Li , Xiaoma Li , Jean-Michel Guldmann , Zhengwu Cai , Wei Liao , Chun Yang , Qingdong Qiu\",\"doi\":\"10.1016/j.ufug.2024.128462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Microclimate (e.g., temperature and humidity) in urban green space (UGS) patches changes nonlinearly from the edge to the interior, displaying a microclimatic edge effect (MEE). 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引用次数: 0
摘要
城市绿地(UGS)斑块中的微气候(如温度和湿度)从边缘到内部呈非线性变化,显示出微气候边缘效应(MEE)。减少微气候边缘效应宽度是城市绿地规划和管理的一项有效而实用的策略,可提高气候效益(如降温)。然而,目前还没有经济有效的方法来量化 MEE 宽度,更不用说探索其驱动因素了。本研究根据气候变量(如温度和湿度)与连续清除边缘后剩余 UGS 百分比之间的关系,提出了一种新颖且经济有效的方法来量化 MEE 宽度。该方法在中国亚热带城市长沙进行了测试,考虑了空气温度(AT)和湿度。此外,还利用广泛可用的地表温度(LST)数据集测试了该方法的有效性,同时考虑了 UGS 地图的不同空间分辨率(即 1-10 米)和不同分析单位(即 1 平方公里网格和乡镇普查区)。最后,利用中国其他六个代表性城市的数据验证了该方法的普适性。结果表明(1) 长沙温度和湿度的估计 MEE 宽度分别约为 8 米和 6 米。(2) 无论温度类型和分析单位如何,该方法都能获得一致的 MEE 宽度。(3) 建议使用高空间分辨率的 UGS 地图(即 1 米),以提高精确度。(4) 该方法有效识别了中国其他六个代表性城市(北京、成都、上海、沈阳、武汉、西安)的 MEE 宽度,证明了其普适性。这种新颖的方法提供了一种在景观尺度上识别 MEE 宽度的简便、快速的方法,有助于:(1)更好地理解 UGS 破碎化与城市小气候之间的关系;(2)更好地规划和管理 UGS 以改善城市小气候。
A novel approach to identify the microclimatic edge effect width of urban green spaces at the landscape level: A case study of Changsha, China
Microclimate (e.g., temperature and humidity) in urban green space (UGS) patches changes nonlinearly from the edge to the interior, displaying a microclimatic edge effect (MEE). Reducing the MEE width is an effective and practical strategy for UGS planning and management to enhance climatic benefits (e.g., cooling). However, cost-effective approaches are not available to quantify the MEE width, let alone explore its driving factors. This study proposes a novel and cost-effective method to quantify the MEE width, based on the relationship between climatic variables (e.g., temperature and humidity) and the percentage of remaining UGS after successive edge removals. The method was tested in the subtropical city of Changsha, China, considering air temperature (AT) and humidity. Its effectiveness was also tested using widely available land surface temperature (LST) datasets while considering different spatial resolutions of the UGS map (i.e., 1–10 m) and different analytical units (i.e., 1 km2 grid and township census tract). Finally, the generalizability of this method was validated with data on six other representative Chinese cities. The results show that: (1) The estimated MEE widths for temperature and humidity in Changsha are about 8 m and 6 m, respectively. (2) The approach obtains consistent MEE widths irrespective of temperature types and analytical units. (3) A high spatial resolution UGS map (i.e., 1 m) is recommended for higher accuracy. (4) This approach effectively identifies MEE width in six other representative Chinese cities (Beijing, Chengdu, Shanghai, Shenyang, Wuhan, Xi’an), demonstrating its generalizability. This novel approach provides an easy and fast method to identify the MEE width at the landscape scale, which can help (1) better understand the relationship between UGS fragmentation and the urban microclimate, and (2) better plan and manage UGS to improve the urban microclimate.
期刊介绍:
Urban Forestry and Urban Greening is a refereed, international journal aimed at presenting high-quality research with urban and peri-urban woody and non-woody vegetation and its use, planning, design, establishment and management as its main topics. Urban Forestry and Urban Greening concentrates on all tree-dominated (as joint together in the urban forest) as well as other green resources in and around urban areas, such as woodlands, public and private urban parks and gardens, urban nature areas, street tree and square plantations, botanical gardens and cemeteries.
The journal welcomes basic and applied research papers, as well as review papers and short communications. Contributions should focus on one or more of the following aspects:
-Form and functions of urban forests and other vegetation, including aspects of urban ecology.
-Policy-making, planning and design related to urban forests and other vegetation.
-Selection and establishment of tree resources and other vegetation for urban environments.
-Management of urban forests and other vegetation.
Original contributions of a high academic standard are invited from a wide range of disciplines and fields, including forestry, biology, horticulture, arboriculture, landscape ecology, pathology, soil science, hydrology, landscape architecture, landscape planning, urban planning and design, economics, sociology, environmental psychology, public health, and education.