scholarly journals Quantitatively Assessing Ecological Stress of Urbanization on Natural Ecosystems by Using a Landscape-Adjacency Index

2021 ◽  
Vol 13 (7) ◽  
pp. 1352
Author(s):  
Meixia Lin ◽  
Tao Lin ◽  
Laurence Jones ◽  
Xiaofang Liu ◽  
Li Xing ◽  
...  
Keyword(s):  
Spatial Scales ◽  
Pearson Correlation ◽  
Urban Expansion ◽  
Cultivated Land ◽  
Spatial Expansion ◽  
Ecological Stress ◽  
Natural Landscapes ◽  
Edge Based ◽  
Landscape Patches ◽  
The Yrd

Urban spatial expansion poses a threat to regional ecosystems and biodiversity directly through altering the size, shape, and interconnectivity of natural landscapes. Monitoring urban spatial expansion using traditional area-based metrics from remote sensing provides a feasible way to quantify this regional ecological stress. However, variation in landscape-adjacency relationships (i.e., the adjacency between individual landscape classes) caused by urban expansion is often overlooked. In this study, a novel edge-based index (landscape-adjacency index, LAdI) was proposed based on the spatial-adjacency relationship between landscape patches to measure the regional ecological stress of urban expansion on natural landscapes. Taking the entire Yangtze River Delta Urban Agglomerations (YRD) as a study area, we applied the LAdI for individual landscape classes (Vi) and landscape level (LV) to quantitatively assess change over time in the ecological stress of YRD from 1990 to 2015 at two spatial scales: municipal scale and 5 km-grid scale. The results showed that the vulnerable zones (LV ≥ 0.6) were mainly distributed in the north of the YRD, and cultivated land was the most vulnerable natural landscape (Vi ≥ 0.6) at the 5 km-grid scale. The most vulnerable landscape at the municipal scale was cultivated land in 19 of 26 cities in each period, and that in the remaining 7 cities varied at distinct urbanization stages. We used scatter diagrams and Pearson correlation analysis to compare the edge-based LAdI with an area-based index (percent of built-up area, PB) and found that: LV and PB had a significant positive correlation at both the municipal scale and 5 km-grid scale. But there were multiple LVs with different values corresponding to one PB with the same value at the 5 km-grid scale. Both indexes could represent the degree of urban expansion; however, the edge-based metric better quantified ecological stress under different urban-sprawl patterns sharing the same percent of built-up area. As changes in land use affect both the size and edge effect among landscape patches, the area-based PB and the edge-based LAdI should be applied together when assessing the ecological stress caused by urbanization.

scholarly journals Integrating Ecosystem Services Supply–Demand and Spatial Relationships for Intercity Cooperation: A Case Study of the Yangtze River Delta

2020 ◽  
Vol 12 (10) ◽  
pp. 4131
Author(s):  
Wenbo Cai ◽  
Tong Wu ◽  
Wei Jiang ◽  
Wanting Peng ◽  
Yongli Cai
Keyword(s):  
Ecosystem Services ◽  
Yangtze River ◽  
Urban Expansion ◽  
Supply And Demand ◽  
Spatial Relations ◽  
Yangtze River Delta ◽  
River Delta ◽  
Spatial Relationships ◽  
Environmental Cooperation ◽  
The Yrd

Transboundary environmental problems caused by urban expansion and economic growth cannot be solved by individual cities. Successful intercity environmental cooperation relies on the clear identification and definition of the rights and obligations of each city. An Ecosystem services (ES) approach not only budgets the ES supply and demand of a city, but also defines the spatial relationships between Services Provisioning Areas (SPA) and Services Benefiting Areas (SBA). However, to date, quantitative studies integrating ES budgets and spatial relations have been scarce. This study integrates ecosystem services supply–demand budgeting with flow direction analysis to identify intercity environmental cooperation in the highly urbanized Yangtze River Delta (YRD) region of China for water-related ecosystem services (flood protection, erosion regulation and water purification). The results demonstrated that there were significant spatial mismatches in the supply and demand of three water-related ES among 16 core cities in the YRD region: five to six cities in the southern part of the region had significant service surpluses, while ten to 11 cities in the north–central part had significant service deficits. We then went on to offer definitions for Ecosystem Services Surplus City, Ecosystem Services Deficit City and Ecosystem Services Balance City, as well as Service Provisioning City, Service Benefiting City and Service Connecting City in which to categorize cities in the YRD Region. Furthermore, we identified two intercity cooperation types and two non-cooperation types. This framework can be used to promote ecological integration in highly urbanized regions to advance sustainable development.

Spatial Diffusion Model Analysis and Trend of Shizuishan City

2012 ◽  
Vol 174-177 ◽  
pp. 2370-2373
Author(s):  
Bin Feng ◽  
Xiao Jian Chen
Keyword(s):  
Diffusion Process ◽  
Diffusion Model ◽  
Urban Space ◽  
Urban Expansion ◽  
Spatial Diffusion ◽  
Spatial Expansion ◽  
Weighted Distance ◽  
Zero Resistance ◽  
Coordination Development ◽  
Development Tendency

The urban expansion direction and mode of Shizuishan City is addressed based on GIS and improved spatial diffusion model-replacing the spatial straight distance with cost weighted distance. This paper divides its spatial expansion into four cases: zero resistance, resistance, incomplete barrier and isolation. The diffusion model of urban space in terms of the new understanding of the resistance barrier in the spatial diffusion process is discussed. Then, this paper puts forward new trends of spatial development. The results reveal that Dawukou city area and Pingluo city, and Wuhai city and Huinong district form the coordination development tendency.

A Novel Indicator for Assessing the Spatial Sustainability of Cities in Developing Countries - A Case Study of Xi’an City

2012 ◽  
Vol 616-618 ◽  
pp. 1335-1342 ◽  
Author(s):  
Xiao Hui Ding ◽  
Shuo Xin Zhang ◽  
Wei Zhou Zhong ◽  
Yu Jiang
Keyword(s):  
Landscape Ecology ◽  
Spatial Scales ◽  
Urban Expansion ◽  
Negative Effects ◽  
Rapid Urbanization ◽  
Social Ecological Systems ◽  
Sensing Technology ◽  
The City ◽  
Geographical Dimension

The geographical dimension of urbanization is of major importance in depicting the influences of urbanization on the development of a city, since complex social-ecological systems interact in a multitude of ways at many spatial scales across time. This research introduced an indicator for assessing the spatial sustainability of a city from the perspective of landscape ecology, to provide a reasonable way for quantifying the spatial dynamic of the urban area of a city and how close the pattern of urban expansion close to a ‘compact’ way. A case study has been done in Xi’an. With the application of remote sensing technology, landscape ecology and other necessary software, the spacial sustainability of Xi’an from 1988 to 2010 were calculated, the rapid urbanization in Xi’an has significantly promoted the spatial sustainability of city from 1988 to 2000 and 2006 to 2010, whereas exerted negative effects on the spatial sustainability of the city from 2000 to 2006.

scholarly journals The spatiotemporal relationship between PM<sub>2.5</sub> and aerosol optical depth in China: influencing factors and implications for satellite PM<sub>2.5</sub> estimations using MAIAC aerosol optical depth

2021 ◽  
Vol 21 (24) ◽  
pp. 18375-18391
Author(s):  
Qingqing He ◽  
Mengya Wang ◽  
Steve Hung Lam Yim
Keyword(s):  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Spatial Scales ◽  
Pearson Correlation ◽  
Eastern China ◽  
Atmospheric Correction ◽  
Mainland China ◽  
Ground Level ◽  
Central China ◽  
The Relationship

Abstract. Satellite aerosol retrievals have been a popular alternative to monitoring the surface-based PM2.5 concentration due to their extensive spatial and temporal coverage. Satellite-derived PM2.5 estimations strongly rely on an accurate representation of the relationship between ground-level PM2.5 and satellite aerosol optical depth (AOD). Due to the limitations of satellite AOD data, most studies have examined the relationship at a coarse resolution (i.e., ≥ 10 km); thus, more effort is still needed to better understand the relationship between “in situ” PM2.5 and AOD at finer spatial scales. While PM2.5 and AOD could have obvious temporal variations, few studies have examined the diurnal variation in their relationship. Therefore, considerable uncertainty still exists in satellite-derived PM2.5 estimations due to these research gaps. Taking advantage of the newly released fine-spatial-resolution satellite AOD data derived from the Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm and real-time ground aerosol and PM2.5 measurements, this study explicitly explored the relationship between PM2.5 and AOD as well as its plausible impact factors, including meteorological parameters and topography, in mainland China during 2019, at various spatial and temporal scales. The coefficient of variation, the Pearson correlation coefficient and the slope of the linear regression model were used. Spatially, stronger correlations mainly occurred in northern and eastern China, and the linear slope was larger on average in northern inland regions than in other areas. Temporally, the PM2.5–AOD correlation peaked at noon and in the afternoon, and reached a maximum in winter. Simultaneously, considering relative humidity (RH) and the planetary boundary layer height (PBLH) in the relationship can improve the correlation, but the effect of RH and the PBLH on the correlation varied spatially and temporally with respect to both strength and direction. In addition, the largest correlation occurred at 400–600 m primarily in basin terrain such as the Sichuan Basin, the Shanxi–Shaanxi basins and the Junggar Basin. MAIAC 1 km AOD can better represent the ground-level fine particulate matter in most domains with exceptions, such as in very high terrain (i.e., Tibetan Plateau) and northern central China (i.e., Qinghai and Gansu). The findings of this study have useful implications for satellite-based PM2.5 monitoring and will further inform the understanding of the aerosol variation and PM2.5 pollution status of mainland China.

scholarly journals URBANISATION BEYOND ITS CORE BOUNDARY AND ITS IMPACT ON THE COMMUNITIES IN GEORGE TOWN CONURBATION, MALAYSIA

2019 ◽  
Vol 17 (10) ◽  
Author(s):  
Narimah Samat ◽  
Mohd Amirul Mahamud ◽  
Siti Masayu Rosliah Abdul Rashid ◽  
Yasin Elhadary ◽  
Norzailawati Mohd Noor
Keyword(s):  
Urban Development ◽  
Urban Growth ◽  
Urban Expansion ◽  
Economic Benefits ◽  
Inclusive Development ◽  
Spatial Expansion ◽  
Qualitative Approaches ◽  
Core Boundary ◽  
George Town ◽  
The Impact

Rapid urbanisation has raised major issues, especially in cities in developing nations. In Malaysia, for example, the urbanisation rate is at 74%, but the size of urban land is less than 10%. This phenomenon has caused urban expansion to encroach on to its fringe areas. At present, although much has been said about the economic benefits of urban expansion to the fringe areas, yet little is known about its impact on the local communities. This paper aims to highlight the spatial expansion of George Town Conurbation and to investigate how local inhabitants perceive urban development. This study used satellite images and GIS techniques to identify the spatial expansion of urbanisation in George Town. Quantitative and qualitative approaches of data collection were employed to investigate the impact of urbanisation on the communities. The findings indicated that the inhabitants in less urbanized states welcome urban expansion, as they perceive that urban growth generates more jobs and brings economic opportunities. On the contrary, those who have experienced a longer period of urban development did not fully welcome urbanisation. Therefore, inclusive development policies are required to ensure that urban growth will benefit dwellers in the urban area as well as in its surroundings. In addition, they are required to safeguard the environment.

scholarly journals ANALYSIS OF THE SPATIOTEMPORALLY VARYING EFFECTS OF URBAN SPATIAL PATTERNS ON LAND SURFACE TEMPERATURES

2018 ◽  
Vol 26 (3) ◽  
pp. 216-231 ◽  
Author(s):  
Cheng Li ◽  
Jie Zhao ◽  
Nguyen Xuan Thinh ◽  
Wenfu Yang ◽  
Zhen Li
Keyword(s):  
Spatial Patterns ◽  
Land Surface ◽  
Spatial Scales ◽  
Pearson Correlation ◽  
Ordinary Least Squares ◽  
Related Factors ◽  
Spatial Metrics ◽  
Surface Temperatures ◽  
Land Surface Temperatures ◽  
Gwr Model

Urban heat islands (UHIs) are a worldwide phenomenon that have many ecological and social consequences. It has become increasingly important to examine the relationships between land surface temperatures (LSTs) and all related factors. This study analyses Landsat data, spatial metrics, and a geographically weighted regression (GWR) model for a case study of Hangzhou, China, to explore the correlation between LST and urban spatial patterns. The LST data were retrieved from Landsat images. Spatial metrics were used to quantify the urban spatial patterns. The effects of the urban spatial patterns on LSTs were further investigated using Pearson correlation analysis and a GWR model, both at three spatial scales. The results show that the LST patterns have changed significantly, which can be explained by the concurrent changes in urban spatial patterns. The correlation coefficients between the spatial metrics and LSTs decrease as the spatial scale increases. The GWR model performs better than an ordinary least squares analysis in exploring the relationship of LSTs and urban spatial patterns, which is indicated by the higher adjusted R2 values, lower corrected Akaike information criterion and reduced spatial autocorrelations. The GWR model results indicate that the effects of urban spatial patterns on LSTs are spatiotemporally variable. Moreover, their effects vary spatially with the use of different spatial scales. The findings of this study can aid in sustainable urban planning and the mitigation the UHI effect.

A GIS Based Model Proposal for Assessing the Transversal Connectivity of Natural Landscapes Along the Urban Rivers in support of NBS

2020 ◽  
Author(s):  
Artan Hysa
Keyword(s):  
Metropolitan Area ◽  
Metropolitan Areas ◽  
Qualitative Evaluation ◽  
Raw Material ◽  
Urban Rivers ◽  
Seine River ◽  
Natural Landscape ◽  
Land Cover Data ◽  
Natural Landscapes ◽  
Landscape Patches

&lt;p&gt;This study aims to present a GIS-based method for estimating the transversal connectivity among natural landscape patches along urban rivers within the metropolitan area. The method presented here relies on the transversally connected natural landscape mosaics (TCNLM) model, which is based on a reclassification procedure for landscape patches based on their relative connectivity to the water sources. The identified existing and potential TCNLMs can be considered as focal areas for providing ecosystem services in the metropolitan zone. The raw material of the analytical process is Urban Atlas (UA) land cover data. All phases of the process are modelled in Graphical Modeler in QGIS software. The metropolitan areas of London and Paris are selected as specimens of urban agglomerations along major waterbodies such as Thames and Seine River. The selected cases have considerable similarities and differences among them. Jointly with the results, they provide a comparative ground for a quantitative and qualitative evaluation. The results show that the method is easily reproducible in other European metropolitan areas being developed along watercourses. The presented model brings a rapid method for highlighting the transversal connectivity capacities of the natural landscapes along rivers within the metropolitan area in support of Nature Based Solutions for urban challenges.&lt;/p&gt;

Spatiotemporally characterizing urban temperatures based on remote sensing and GIS analysis: a case study in the city of Saskatoon (SK, Canada)

2014 ◽  
Vol 7 (1) ◽  
Author(s):  
Li Shen ◽  
Xulin Guo ◽  
Kang Xiao
Keyword(s):  
Linear Regression ◽  
Air Temperature ◽  
Spatial Scales ◽  
Pearson Correlation ◽  
Multiple Linear Regression Model ◽  
Influential Factors ◽  
Urban Surface ◽  
Urban Green Spaces ◽  
Surface Temperatures ◽  
Cooling Effects

AbstractThe purpose of this study is to spatiotemporally explore the characteristics of urban temperatures based on multi-temporal satellite data and historical in situ measurements. As one of the most rapidly urbanized cities in Canada, Saskatoon (SK) was selected as our study area. Surface brightness retrieving, Pearson correlation, linear regression modeling, and buffer analysis were applied to different satellite datasets. The results indicate that both Landsat and MODIS data can yield pronounced estimations of daily air temperature with a significantly adjusted R2 of 0.803 and 0.518 at the spatial scales of 120m and 1000 m, respectively. MODIS monthly LST data is highly suitable for monitoring the trend of monthly urban air temperature throughout summer (June, July, and August) due to a high average R2 of 0.8 (P<0.05), especially for the warmest month (July). Our findings also reveal that both the Saskatchewan River and urban green spaces have statistically significant cooling effects on the surrounding urban surface temperatures within 500 m and 200 m, respectively. In addition, a multiple linear regression model with four influential factors as independent variables can be developed to estimate urban surface temperatures with a highest adjusted R2 of 0.649 and a lowest standard error of 0.076.

Urban expansion in China and its effect on cultivated land before and after initiating “Reform and Open Policy”

2016 ◽  
Vol 59 (10) ◽  
pp. 1930-1945 ◽  
Author(s):  
ZengXiang Zhang ◽  
QingKe Wen ◽  
Fang Liu ◽  
XiaoLi Zhao ◽  
Bin Liu ◽  
...  
Keyword(s):  
Urban Expansion ◽  
Cultivated Land ◽  
Open Policy ◽  
Before And After

scholarly journals Modeling Alternative Approaches to the Biodiversity Offsetting of Urban Expansion in the Grenoble Area (France): What Is the Role of Spatial Scales in ‘No Net Loss’ of Wetland Area and Function?

2021 ◽  
Vol 13 (11) ◽  
pp. 5951
Author(s):  
Anne-Charlotte Vaissière ◽  
Fabien Quétier ◽  
Adeline Bierry ◽  
Clémence Vannier ◽  
Florence Baptist ◽  
...  
Keyword(s):  
Spatial Scales ◽  
Urban Expansion ◽  
Wetland Area ◽  
No Net Loss ◽  
Biodiversity Offsets ◽  
Development Plans ◽  
Project Model ◽  
Implementation Models ◽  
And Function ◽  
Spatially Explicit Modeling

It is increasingly common for developers to be asked to manage the impacts of their projects on biodiversity by restoring other degraded habitats that are ecologically equivalent to those that are impacted. These measures, called biodiversity offsets, generally aim to achieve ‘no net loss’ (NNL) of biodiversity. Using spatially-explicit modeling, different options were compared in terms of their performance in offsetting the impacts on wetlands of the planned urban expansion around Grenoble (France). Two implementation models for offsetting were tested: (a) the widespread bespoke permittee-led restoration project model, resulting in a patchwork of restored wetlands, and (b) recently-established aggregated and anticipated “banking” approaches whereby larger sets of adjacent parcels offset the impacts of several projects. Two ecological equivalence methods for sizing offsets were simulated: (a) the historically-prevalent area-based approach and (b) recently introduced approaches whereby offsets are sized to ensure NNL of wetland functions. Simulations showed that a mix of functional methods with minimum area requirements was more likely to achieve NNL of wetland area and function across the study area and within each subwatershed. Our methodology can be used to test the carrying capacity of a landscape to support urban expansion and its associated offsetting in order to formulate more sustainable development plans.

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