Xihong Lian , Limin Jiao , Zejin Liu , Qiqi Jia , Wei Liu , Yaolin Liu
{"title":"检测行道树和绿地:了解城市树木对减缓气候变化的贡献","authors":"Xihong Lian , Limin Jiao , Zejin Liu , Qiqi Jia , Wei Liu , Yaolin Liu","doi":"10.1016/j.ufug.2024.128561","DOIUrl":null,"url":null,"abstract":"<div><div>Urban trees are important for adapting to climate change; however, the absence of fine-grained data describing the distribution of urban tree crown cover and carbon stocks hinders recognition of the contribution of urban systems to climate change mitigation. Here, we present an approach for extracting fine-grained tree crown cover by coupling the Segment Anything Model and vegetation indices using Google Earth imagery with a spatial resolution of 0.298 m. We estimated the aboveground biomass of tree-covered regions in Wuhan, representative of China's urbanization, using multi-source remote sensing data and machine-learning techniques. We show that tree crown cover accounts for 18.86 % of the study area, implying that the nationwide proportion of urban trees probably represents 1.88–2.69 % of the total forested area. Tree growth in urban regions remains reasonably stable owing to the high level of human management, with a 60–86 Mg C ha<sup>−1</sup> carbon density of aboveground biomass in the tree-covered region in Wuhan. Street trees at specific distances from infrastructure represented an average level of aboveground biomass, whereas urban trees at relatively distant locations were the dominant contributors to aboveground biomass. Our study highlights the carbon stocks of urban trees and the various mechanisms that indirectly influence carbon emissions, representing a potentially promising nature-based solution. We recommend enhancing the socio-ecological characteristics of urban systems to address future climate change.</div></div>","PeriodicalId":49394,"journal":{"name":"Urban Forestry & Urban Greening","volume":"102 ","pages":"Article 128561"},"PeriodicalIF":6.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A detection of street trees and green space: Understanding contribution of urban trees to climate change mitigation\",\"authors\":\"Xihong Lian , Limin Jiao , Zejin Liu , Qiqi Jia , Wei Liu , Yaolin Liu\",\"doi\":\"10.1016/j.ufug.2024.128561\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Urban trees are important for adapting to climate change; however, the absence of fine-grained data describing the distribution of urban tree crown cover and carbon stocks hinders recognition of the contribution of urban systems to climate change mitigation. Here, we present an approach for extracting fine-grained tree crown cover by coupling the Segment Anything Model and vegetation indices using Google Earth imagery with a spatial resolution of 0.298 m. We estimated the aboveground biomass of tree-covered regions in Wuhan, representative of China's urbanization, using multi-source remote sensing data and machine-learning techniques. We show that tree crown cover accounts for 18.86 % of the study area, implying that the nationwide proportion of urban trees probably represents 1.88–2.69 % of the total forested area. Tree growth in urban regions remains reasonably stable owing to the high level of human management, with a 60–86 Mg C ha<sup>−1</sup> carbon density of aboveground biomass in the tree-covered region in Wuhan. Street trees at specific distances from infrastructure represented an average level of aboveground biomass, whereas urban trees at relatively distant locations were the dominant contributors to aboveground biomass. Our study highlights the carbon stocks of urban trees and the various mechanisms that indirectly influence carbon emissions, representing a potentially promising nature-based solution. We recommend enhancing the socio-ecological characteristics of urban systems to address future climate change.</div></div>\",\"PeriodicalId\":49394,\"journal\":{\"name\":\"Urban Forestry & Urban Greening\",\"volume\":\"102 \",\"pages\":\"Article 128561\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urban Forestry & Urban Greening\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1618866724003595\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urban Forestry & Urban Greening","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1618866724003595","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
A detection of street trees and green space: Understanding contribution of urban trees to climate change mitigation
Urban trees are important for adapting to climate change; however, the absence of fine-grained data describing the distribution of urban tree crown cover and carbon stocks hinders recognition of the contribution of urban systems to climate change mitigation. Here, we present an approach for extracting fine-grained tree crown cover by coupling the Segment Anything Model and vegetation indices using Google Earth imagery with a spatial resolution of 0.298 m. We estimated the aboveground biomass of tree-covered regions in Wuhan, representative of China's urbanization, using multi-source remote sensing data and machine-learning techniques. We show that tree crown cover accounts for 18.86 % of the study area, implying that the nationwide proportion of urban trees probably represents 1.88–2.69 % of the total forested area. Tree growth in urban regions remains reasonably stable owing to the high level of human management, with a 60–86 Mg C ha−1 carbon density of aboveground biomass in the tree-covered region in Wuhan. Street trees at specific distances from infrastructure represented an average level of aboveground biomass, whereas urban trees at relatively distant locations were the dominant contributors to aboveground biomass. Our study highlights the carbon stocks of urban trees and the various mechanisms that indirectly influence carbon emissions, representing a potentially promising nature-based solution. We recommend enhancing the socio-ecological characteristics of urban systems to address future climate change.
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.