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Forests
Special Issues
Urban Green Infrastructure and Urban Landscape Ecology
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Urban Green Infrastructure and Urban Landscape Ecology

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Urban Forestry".

Deadline for manuscript submissions: 30 November 2024 | Viewed by 3559

Special Issue Editors

Dr. Chunlin Li

E-Mail Website
Guest Editor
Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Interests: urban landscape ecology; remote sensing; ecological modeling
Prof. Dr. Tiemao Shi

E-Mail Website
Co-Guest Editor
Institute of Spatial Planning and Design, Shenyang Jianzhu University, Shenyang 110168, China
Interests: landscape ecology; urban planning; ecosystem services
Dr. Tangao Hu

E-Mail Website
Co-Guest Editor
School of International Education, Hangzhou Normal University, Hangzhou 311121, China
Interests: land use and land cover; urban heat island; urban flooding
Dr. Zhibin Ren

E-Mail Website
Co-Guest Editor
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
Interests: urban forest; ecological services; landscape pattern; urbanization; remote sensing

Special Issue Information

Dear Colleagues,

Urban green infrastructures (UGIs, i.e., forests, parks, shrubs, green roofs, etc.), as natural elements in a city, could provide multiple benefits to people in the urban environment. UGIs should be capable of addressing the major challenges of urbanization, such as improving the quality of life, promoting social cohesion and environmental justice, protecting biodiversity, and adapting to climate change, thereby supporting sustainable urban development.

Planning and designing new generation UGIs require the use of landscape ecology theory, through which the pattern evolution characteristics of UGI could be evaluated and its impact on ecosystem service functions such as atmosphere, hydrological cycle, and thermal environment could be analyzed, which will aid in adequate management of urban planning and pattern optimization.

The goal of this Special Issue is to publish new research on the multifunctional ecosystem of UGI in order to deepen our understanding of the impact of various ecological functions of UGIs and to develop sustainable solutions for urban ecosystem management with enhanced ability to respond to climate change.

Sincerely,

Dr. Chunlin Li
Prof. Dr. Tiemao Shi
Dr. Tangao Hu
Dr. Zhibin Ren
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • urban greening
  • nature-based solutions
  • urban landscape ecology
  • ecosystem services
  • urban forest management
  • urban planning
  • landscape architecture

Published Papers (3 papers)

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Research

18 pages, 2847 KiB  
Article
Assessment of Particulate Matter, Heavy Metals, and Carbon Deposition Capacities of Urban Tree Species in Tehran, Iran
by Sahar Elkaee, Anoushirvan Shirvany, Mazaher Moeinaddini and Farzaneh Sabbagh
Forests 2024, 15(2), 273; https://doi.org/10.3390/f15020273 - 31 Jan 2024
Viewed by 809
Abstract
Air pollution is a pressing environmental concern in urban areas, with particulate matter (PM) posing serious health and environmental threats. Urban greening has emerged as a potential solution to capture and retain PM. This study assesses the PM deposition capacity of five common [...] Read more.
Air pollution is a pressing environmental concern in urban areas, with particulate matter (PM) posing serious health and environmental threats. Urban greening has emerged as a potential solution to capture and retain PM. This study assesses the PM deposition capacity of five common tree species: Morus alba (M. alba), Ailanthus altissima (A. altissima), Platanus orientalis (P. orientalis), Robinia pseudoacacia (R. pseudoacacia), and Ulmus minor (U. minor) in two highly polluted sites in Tehran, Iran. Additionally, this study investigates the accumulation of heavy metals (Ni, Fe, Cd, and Pb), Organic Carbon (OC), Elemental Carbon (EC), and Total Carbon (TC) on the leaves of these tree species. The results demonstrate species-specific differences in PM deposition capacity, with U. minor and M. alba showing high PM retention. A. altissima exhibits strong capability in adsorbing PM 0.1–2.5, while U. minor demonstrates greater retention of PM > 2.5. Moreover, the deposition of heavy metals varies among species, with R. pseudoacacia and A. altissima capturing higher levels. This study highlights the significance of appropriate tree utilization in urban environments against air pollution in order to make the air healthier in major cities. Awareness of the different tree species capacities leads urban planners and policymakers to make intelligent decisions about urban greening initiatives to improve air quality and overall well-being. Full article
(This article belongs to the Special Issue Urban Green Infrastructure and Urban Landscape Ecology)
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26 pages, 6061 KiB  
Article
Modeling Management-Relevant Urban Forest Stand Characteristics to Optimize Carbon Storage and Sequestration
by Jenna Drolen, Leslie Brandt, Yanning Wei and Ray Dybzinski
Forests 2023, 14(11), 2207; https://doi.org/10.3390/f14112207 - 7 Nov 2023
Viewed by 918
Abstract
Urban forests are an essential part of adaptation and mitigation solutions for climate change. To understand the relationship between carbon storage, sequestration, and stand density in the most heavily-managed aspect of the urban forest—street trees—we modified the parameters and algorithms of a rural [...] Read more.
Urban forests are an essential part of adaptation and mitigation solutions for climate change. To understand the relationship between carbon storage, sequestration, and stand density in the most heavily-managed aspect of the urban forest—street trees—we modified the parameters and algorithms of a rural forest dynamics model, the perfect plasticity approximation (PPA), to reflect urban street tree conditions. The main changes in the new street tree PPA are the maintenance of a prescribed stand density via management of recruitment, the possibility of crown-roof overlap, and increased mortality rates. Using the street tree PPA, we explored overall productivity, crown allometry relative to stem diameter, and mortality rate to test each mechanism’s impact on urban street tree carbon storage and sequestration across a gradient of prescribed stand density, with the goal of finding conditions in which street tree carbon storage and sequestration are optimized. We compared the qualitative trends in storage from the street tree PPA to those found in the U.S. Forest Service’s Urban Forest Inventory Analysis data. We found that carbon storage and sequestration increase with prescribed density up to a point where carbon storage and sequestration saturate. Optimized carbon storage and sequestration result from a stand with high productivity, maximized crown allometry relative to stem diameter, and a low mortality rate. These insights can be used to inform urban street tree maintenance strategies that effectively increase carbon storage and sequestration within a given city, such as focusing afforestation campaigns on adequate areas with the lowest street tree densities. Full article
(This article belongs to the Special Issue Urban Green Infrastructure and Urban Landscape Ecology)
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17 pages, 3351 KiB  
Article
A LiDAR-Driven Effective Leaf Area Index Inversion Method of Urban Forests in Northeast China
by Chang Zhai, Mingming Ding, Zhibin Ren, Guangdao Bao, Ting Liu, Zhonghui Zhang, Xuefei Jiang, Hongbo Ma and Haisen Lin
Forests 2023, 14(10), 2084; https://doi.org/10.3390/f14102084 - 18 Oct 2023
Cited by 1 | Viewed by 1012
Abstract
Leaf area index (LAI) stands as a pivotal parameter for the quantitative assessment of vegetation growth dynamics, and the rapid acquisition of the effective leaf area index (LAIe) in different scales is crucial for forest ecological monitoring. In this study, forest structure parameters [...] Read more.
Leaf area index (LAI) stands as a pivotal parameter for the quantitative assessment of vegetation growth dynamics, and the rapid acquisition of the effective leaf area index (LAIe) in different scales is crucial for forest ecological monitoring. In this study, forest structure parameters were derived from fusion point cloud data obtained through Airborne Laser Scanning and Terrestrial Laser Scanning in three coniferous forests. The influence of point diameter on the extraction of different forest structure parameters was examined, and an in-depth analysis of the correlations between these parameters and measured LAIe was undertaken. The LAIe inversion model was constructed, and its performance for different forest types was studied. The results show that the precision of the extracted forest structure parameters was highest when the point diameter was set to 0.1 cm. Among the 10 forest structure parameters, internal canopy structures such as canopy openness (CO), gap fraction (GF) and canopy closure (CC) were significantly correlated with measured LAIe (p < 0.01), and the correlations between different forest types were significantly different. In addition, the multiparameter LAIe inversion model was able to distinguish forest type and thus better stimulate measured LAIe; also, it appeared closer to the 1:1 relationship line than the voxel model. This study made up for the inefficiency of LAIe measurement with optical instruments and the inaccuracy of passive remote sensing measurement and proved the possibility of LAIe extraction at a large scale via LiDAR in the future. Full article
(This article belongs to the Special Issue Urban Green Infrastructure and Urban Landscape Ecology)
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