Special Issue "Urban Landscape Degradation and Restoration"

A special issue of Urban Science (ISSN 2413-8851).

Deadline for manuscript submissions: closed (31 July 2018)

Special Issue Editors

Guest Editor
Prof. Dr. Alexander Buyantuev

Department of Geography and Planning, College of Arts and Science, University at Albany, Albany, NY 12222, USA
Website | E-Mail
Interests: landscape ecology; urbanization and urban ecology; phenology; grassland ecosystems; remote sensing; land use/cover change
Guest Editor
Dr. Chi Xu

School of Life Sciences, Nanjing University, Nanjing 210023, China
Website | E-Mail
Interests: landscape ecology; ecosystem resilience; macroecology; urban ecology
Guest Editor
Prof. Dr. Junxiang Li

Professor of Ecological and Environmental Sciences, East China Normal University, 3663 Zhongshan Bei Road, Shanghai, China
Website | E-Mail
Interests: urban remote sensing; urban ecology; landscape ecology; urban biodiversity; urban structure and functions; urban ecosystem services
Guest Editor
Dr. Qingxu Huang

Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China
Website | E-Mail
Interests: land use/cover change modeling; remote sensing of environment; landscape ecology; urbanization and its impacts; urban ecosystem services; urban sustainability
Guest Editor
Dr. Ganlin Huang

Center for Human-Environment System Sustainability (CHESS), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University, Beijing 100875, China
Website | E-Mail
Interests: urban green space; urban heat island; urban sustainability; ecosystem services and human well-being; landscape sustainability; environmental justice

Special Issue Information

Dear Colleagues,

Urban regions continue to grow worldwide and so do environmental problems brought about by urbanization. Degradation of urban landscapes due to increasing air, water, soil and thermal pollution, and loss of biodiversity have become a matter of concern because of its deleterious effects on ecological processes and human health. A better understanding of urban landscape degradation is required for developing mitigation strategies and restoring important ecosystem services provided by urban landscapes. The special issue seeks manuscripts improving our understanding of various aspects of environmental degradation of urban landscapes across the world, including such topics as pollution by particulate matter, soil contamination by heavy metals, carbon dioxide pollution, impacts of urban heat island on ecological processes and human health, mapping and quantification of urban landscape patterns and land cover changes, urban forests and green spaces. We endorse studies advancing applications of hierarchical patch dynamics paradigm, conducted across spatial and temporal scales. Papers considered for this issue can be categorized into several groups: (1) Theory and principles of urban landscape degradation assessments; (2) Modeling studies and development of indicators of urban landscape degradation; (3) Assessment of landscape degradation of urban regions and development of restoration strategies; (4) Studies assessing consequences of landscape degradation on ecosystems, social sustainability and human health; (5) Identification of novel pollutants, such as plastic nanoparticles, and overlooked ecological effects, such as nighttime lights, on urban ecosystems; (6) Cascading effects of urban landscape degradation on regional/global ecosystems; (7) Resilience and tipping points of urban systems associated with landscape degradation; (8) Restoration and rehabilitation of degraded urban landscapes.

Prof. Dr. Alexander Buyantuev
Dr. Chi Xu
Dr. Junxiang Li
Dr. Qingxu Huang
Dr. Ganlin Huang
Guest Editors

 
 
 
 

Manuscript Submission Information

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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. Urban Science is an international peer-reviewed open access quarterly journal published by MDPI.

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Keywords

  • land use and land cover change
  • urbanization
  • urban ecology
  • urban sustainability
  • resilience
  • pollution
  • urban heat island
  • environmental monitoring
  • ecological indicators
  • ecological restoration

Published Papers (3 papers)

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Research

Open AccessArticle Reuse Choice, Flood Risk and Resilience, and Characteristics of Counties with Brownfield Cleanups
Urban Sci. 2018, 2(3), 85; https://doi.org/10.3390/urbansci2030085
Received: 1 August 2018 / Revised: 27 August 2018 / Accepted: 28 August 2018 / Published: 4 September 2018
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Abstract
Limited research has examined brownfields clean-up, reuse choice and associations with flood risk or resilience. This cross-sectional analysis examines counties with U.S. Environmental Protection Agency (EPA) funded brownfield cleanups initiated from 2005 through 2009 and assesses the county-level relationship of green reuse with
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Limited research has examined brownfields clean-up, reuse choice and associations with flood risk or resilience. This cross-sectional analysis examines counties with U.S. Environmental Protection Agency (EPA) funded brownfield cleanups initiated from 2005 through 2009 and assesses the county-level relationship of green reuse with flood risk while accounting for county factors of resources, environmental stressors, race and ethnicity, location, and structural characteristics, as modified from the Gee and Payne-Sturges conceptual model of community environmental health. Flood plain designation predicted a three-fold odds of green reuse alone (OR = 2.96 [95% CI, 1.31–6.66]) and green with other reuses (OR = 2.88 [95% CI, 1.07–7.75]). Green reuse alone was influenced negatively when a county had an eastern or western US location or a larger proportion of population aged 5–24 and positively when population education levels were higher. Among counties with green and other reuse, low education was predictive. Conceptually, decisions for green reuse alone were driven by resources and location while decisions for green and other reuse were driven by resources, location and environmental stressors. Full article
(This article belongs to the Special Issue Urban Landscape Degradation and Restoration)
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Open AccessArticle Land-Cover Change Analysis and Simulation in Conakry (Guinea), Using Hybrid Cellular-Automata and Markov Model
Urban Sci. 2018, 2(2), 39; https://doi.org/10.3390/urbansci2020039
Received: 11 February 2018 / Revised: 14 April 2018 / Accepted: 15 April 2018 / Published: 20 April 2018
Cited by 1 | PDF Full-text (23938 KB) | HTML Full-text | XML Full-text
Abstract
In this study, land-cover change in the capital Conakry of Guinea was simulated using the integrated Cellular Automata and Markov model (CA-Markov) in the Geographic Information System (GIS) and Remote Sensing (RS). Historical land-cover change information was derived from 1986, 2000 and 2016
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In this study, land-cover change in the capital Conakry of Guinea was simulated using the integrated Cellular Automata and Markov model (CA-Markov) in the Geographic Information System (GIS) and Remote Sensing (RS). Historical land-cover change information was derived from 1986, 2000 and 2016 Landsat data. Using the land-cover change maps of 1986 and 2000, the land-cover change map for 2016 was simulated based on the Markov model in IDRISSI software (Clark University, Worcester, MA, USA). The simulated result was compared with the 2016 land-cover map for validation using the Relative Operating Characteristic (ROC). The ROC result showed a very strong agreement between the two maps. From this result, the land-cover change map for 2025 was simulated using CA-Markov model. The result has indicated that the proportion of the urban area was 49% in 2016, and it is expected to increase to 52% by 2025, while vegetation will decrease from 35% in 2016 to 32% in 2025. This study suggests that the rapid land-cover change has been led by both rapid population growth and extreme poverty in rural areas, which will result in migration into Conakry. The results of this study will provide bases for assessing the sustainability and the management of the urban area and for taking actions to mitigate the degradation of the urban environment. Full article
(This article belongs to the Special Issue Urban Landscape Degradation and Restoration)
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Open AccessArticle Intra-Urban Microclimate Effects on Phenology
Urban Sci. 2018, 2(1), 26; https://doi.org/10.3390/urbansci2010026
Received: 1 January 2018 / Revised: 6 March 2018 / Accepted: 12 March 2018 / Published: 16 March 2018
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Abstract
The urban heat island effect is commonly defined as the thermal differences between cooler rural and warmer urban areas, but it also refers to microclimatic differences within an urban area that arises from varied combinations of land cover related to different land uses.
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The urban heat island effect is commonly defined as the thermal differences between cooler rural and warmer urban areas, but it also refers to microclimatic differences within an urban area that arises from varied combinations of land cover related to different land uses. Microclimatic variations should also produce intra-urban differences in vegetation phenophases, although few studies have investigated urban phenology. Most phenological studies are usually regional to continental in scale, predominantly tracking changes in start of season related to climate change. This study reports results of an exploratory analysis using TIMESAT (Lund University, Lund, Sweden) software and MODIS NDVI 250-m resolution data (Goddard Space Flight Center, Greenbelt, MD, USA) to identify intra-urban differences in start of season for the City of Roanoke, Virginia. We compare these results to our in-situ temperature collection campaign. Additionally, we completed an in-situ start of season data collection by observing select tree species. Our results demonstrate that MODIS, processed by TIMESAT software, identified intra-urban start of season variations, and these variations are consistent with differing intra-urban microclimates and our in-situ start of season observations. Furthermore, results from such analyses can aid plans for increasing the urban tree canopy or in cultivating locations for urban agriculture—i.e., warmer areas with a longer growing season could accommodate warmer weather trees and crops. Full article
(This article belongs to the Special Issue Urban Landscape Degradation and Restoration)
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