A Review on the Use of Landscape Indices to Study
the Effects of Three-Dimensional Urban Landscape
Patterns on Haze Pollution in China

Wu, Wen Jie; Wang, Yiquan; Liu, Miao; Li, Chunlin

doi:10.15244/pjoes/130900

Cited by 11 publications

(6 citation statements)

References 42 publications

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“…Landscape ecology takes the knowledge system of geography and ecology as the framework and constructs landscape indexes based on the spatial distribution characteristics of regional landscapes to describe the characteristics of each block to carry out targeted analysis on the spatial distribution of regional parcels, such as dominance degree, concentration degree, and connectivity degree [54,[62][63][64][65][66]. Commonly used software for landscape spatial pattern analysis includes APACK, SIMMAP, LEAP, and Fragstats [58].…”

Section: Landscape Metrics Methodsmentioning

confidence: 99%

“…The recent progress of the evaluation methods was from land fragmentation assessment to landscape fragmentation assessment [39][40][41][42][43], and from the economic approach to the landscape ecological approach [44][45][46][47][48][49][50][51][52]. Previous landscape pattern analyses either focused on the relationship between urban landscape patterns and ecological environment effects, or were interested in the relationship between urban landscape patterns and land use change [53][54][55]. However, the relationship between agricultural scale management and landscape pattern change of farmland has not received enough attention.…”

Section: Introductionmentioning

confidence: 99%

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Can Moderate Agricultural Scale Operations Be Developed against the Background of Plot Fragmentation and Land Dispersion? Evidence from the Suburbs of Shanghai

et al. 2022

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Agricultural scale management has become the inexorable trend of modern agricultural development. Plot consolidation and centralized land management are traditionally viewed as the premise and foundation of agricultural scale operations in Europe, India, and China. In order to quantitatively verify whether this view is suitable for Shanghai suburbs, this paper measured the dynamic evolution characteristics of agricultural land and agricultural operations scale in suburban Shanghai at the plot level and peasant household level, using landscape metrics and agricultural statistics methods, respectively. At the city or regional level (the suburbs of Shanghai), the driving mechanism of the change of landscape aggregation degree of farmland was revealed using principal component analysis and multiple linear regression analysis. The results show that (1) in the suburbs of Shanghai, the expansion of the plot scale is restricted by various objective conditions, and the plot fragmentation pattern is inevitable and will exist for a long time; (2) the degree of land management dispersion exhibits an overall increasing trend; (3) moderate scale operations at the peasant household level generally demonstrate an increasing trend and are not obviously correlated with changes in the plot scale; and (4) service scale operations represent the main remedy for future agricultural development; (5) the improvement of agricultural mechanization level was positively correlated with the cultivated land aggregation index (AI), but economic development, industrial restructuring, and urbanization were negatively correlated with the AI of cultivated land. The results show that the appropriate scale of management of agriculture can still be developed in the suburbs of metropolis against the background of land fragmentation and dispersion. Of course, it is essential to change the concept and path of agricultural scale management development.

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Section: Landscape Metrics Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Can Moderate Agricultural Scale Operations Be Developed against the Background of Plot Fragmentation and Land Dispersion? Evidence from the Suburbs of Shanghai

et al. 2022

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“…A landscape pattern can be used to emphasize the combined effect of patch types and the layout effect of the overall landscape [56,57]. Landscape/space indexes are quantitative indicators of the composition and spatial allocation characteristics of different landscape types [58] and can reflect highly condensed landscape pattern information.…”

Section: Landscape Pattern Analysismentioning

confidence: 99%

Optimization Strategy for Parks and Green Spaces in Shenyang City: Improving the Supply Quality and Accessibility

Ding

2022

IJERPH

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In this study, we evaluated the supply quality of parks and green spaces within the Third Ring Road area in Shenyang city by combining a landscape pattern index analysis with a principal component analysis. Moreover, a network analysis based on the ArcGIS platform was used to measure the accessibility of parks and green spaces. The research results showed that the overall supply quality of parks and green spaces (−9.55) must be improved. The supply quality levels of the four analyzed park types could be ranked as follows: garden parks (118.00) > community parks (73.67) > comprehensive parks (−16.64) > specific parks (−32.17). Among the analyzed recreation parks, the accessibility of daily recreation parks was poor, while the overall service efficiency of weekly recreation parks was better, except in a few regions. These research results can provide suggestions for future green space planning in Shenyang city. In addition, from the perspective of landscape patterns, studying the service quality of parks and green spaces can provide new ideas for further research on accessibility.

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“…The prevention and control of ground-level ozone pollution requires a systematic approach that formulates countermeasures from different landscape scales. Therefore, scholars have begun to use the landscape pattern analysis method to carry out research [22,23].…”

Section: Introductionmentioning

confidence: 99%

“…The relationship between landscape patterns and air pollutants is a complex pattern-process relationship with significant spatial heterogeneity and autocorrelation [23,24]. Clarifying the correlation mechanism between air pollutant concentrations and landscape patterns can provide a scientific basis for controlling air pollution from the perspective of landscape pattern optimization design.…”

Section: Introductionmentioning

confidence: 99%

Variation trend prediction of ground-level ozone concentrations with high-resolution using landscape pattern data

Mei,

Xiang,

Wang

et al. 2023

PLoS ONE

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Scientifically configuring landscape patterns based on their relationship with ground-level ozone concentrations (GOCs) is an effective way to prevent and control ground-level ozone pollution. In this paper, a GOC variation trend prediction model (hybrid model) combining a generalized linear model (GLM) and a logistic regression model (LRM) was established to analyze the spatiotemporal variation patterns in GOCs as well as their responses to landscape patterns. The model exhibited satisfactory performance, with percent of samples correctly predicted (PCP) value of 82.33% and area under receiver operating characteristics curve (AUC) value of 0.70. Using the hybrid model, the per-pixel rise probability of annual average GOCs at a spatial resolution of 1 km in Shenzhen were generated. The results showed that (1) annual average GOCs were increasing in Shenzhen from 2015 to 2020, and had obvious spatial differences, with a higher value in the west and a lower value in the east; (2) variation trend in GOCs was significant positively correlated with landscape heterogeneity (HET), while significant negatively correlated with dominance (DMG) and contagion (CON); (3) GOCs in Shenzhen has a great risk of rising, especially in GuangMing, PingShan, LongGang, LuoHu and BaoAn. The results provide not only a preliminary index for estimating the GOC variation trend in the absence of air quality monitoring data but also guidance for landscape optimizing design from the perspective of controlling ground-level ozone pollution.

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A Review on the Use of Landscape Indices to Study the Effects of Three-Dimensional Urban Landscape Patterns on Haze Pollution in China

Cited by 11 publications

References 42 publications

Can Moderate Agricultural Scale Operations Be Developed against the Background of Plot Fragmentation and Land Dispersion? Evidence from the Suburbs of Shanghai

Can Moderate Agricultural Scale Operations Be Developed against the Background of Plot Fragmentation and Land Dispersion? Evidence from the Suburbs of Shanghai

Optimization Strategy for Parks and Green Spaces in Shenyang City: Improving the Supply Quality and Accessibility

Variation trend prediction of ground-level ozone concentrations with high-resolution using landscape pattern data

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