Spatiotemporal Variations of Land Use
and Landscape Ecological Risk in
a Resource-Based City, from Rapid Development
to Recession

Zhou, Shiyuan; Chang, Jiang; Hu, Tinghao; Luo, Pingjia; Zhou, Hongxuan

doi:10.15244/pjoes/102778

Cited by 25 publications

(24 citation statements)

References 22 publications

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“…When constructing the landscape ecological risk index (Table 1), opinions on the weights of the landscape fragmentation index ( C i ), landscape dominance index (DO i ), and landscape separation index ( S i ) differs. Yu et al (2020) set a = 0.5, b = 0.3, c = 0.2, and Zhou et al (2019) used the entropy weight method to redistribute the weight of landscape indicators in different periods. As there is no unified weight setting method, in this article we refer to Wang et al (2018) and set a = 0.6, b = 0.3, c = 0.1.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the landscape ecological risk based on GIS: A case‐study in the Poyang Lake region of China

et al. 2021

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Influenced by human activities, the largest freshwater lake in China, Poyang Lake is suffering from landscape degradation and increased ecological risks. However, the specific landscape ecological risk in Poyang Lake region remains unknown. The impact of land use change on landscape pattern and ecological risk around Poyang Lake has not been revealed. In order to analyze the spatio-temporal distribution characteristics of landscape ecological risk in Poyang Lake region, this study constructed a landscape ecological risk index model based on GIS, geostatistics, and landscape ecology theory. The results show that: (a) all land use types in Poyang Lake region had been changed during the period 2010-2018. While large tracts of farmland and woodland were converted into construction land, farmland and woodland have seen the largest decrease and construction land has increased greatly. (b) On the whole, the low and medium-low landscape ecological risk area accounted for about 60% of the total area, while high and medium-high risk area increased during 2010-2018. The landscape ecological risk has seen a downward trend with increased low and medium-low ecological risk areas during 2010-2018. Spatially, ecological risk in the core waters of Poyang Lake was higher, while in the surrounding waters was lower. (c) The landscape ecological risk in Poyang Lake Region in each period shown positive spatial correlation and tended to be spatially agglomerative. The high-high risk clusters were mainly located in the core waters of the Lake area, while the low-low risk clusters were mainly located far away from the core waters, including county and city areas. (d) In 2018, farmland, woodland, grassland, and unutilized land were dominated by medium and medium low risk, the landscape ecological risk in the water area was the highest, and that of construction land was the lowest. The decrease rate of ERI in water areas was the largest, indicating that the change of water area contributed the most to the reduction of landscape ecological risk. During the process of ecological risk management in Poyang Lake Region, attention should be paid to the changes of the water area's structure and quality.

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Section: Discussionmentioning

confidence: 99%

Evaluating the landscape ecological risk based on GIS: A case‐study in the Poyang Lake region of China

et al. 2021

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“…The magnitude of landscape ecological risk depends on the intensity of the external disturbance and internal resistance of the landscape ecosystem in the study area [29]. Based on the relationship between the landscape pattern of ecosystems and ecological risk and referring to the existing research results, the landscape fragmentation index, landscape isolation index, landscape dominance index, landscape disturbance index, landscape vulnerability index and landscape loss index were used to construct the landscape ecological risk index model [30,31].…”

Section: Calculation Of Ecological Riskmentioning

confidence: 99%

Spatial–Temporal Evolution and Correlation Analysis of Ecosystem Service Value and Landscape Ecological Risk in Wuhu City

2020

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The comprehensive application of ecosystem service value (ESV) and ecological risk index (ERI) assessment can provide better decision support for regional ecological environment protection. Based on the remote sensing image data of Wuhu city of 1995, 2005 and 2016, the paper analyzed the spatial-temporal evolution of ESV and ERI in Wuhu city and its associated characteristics using an ESV, ERI assessments and a bivariate spatial autocorrelation method. The results showed that (1) the total ESV of Wuhu city continued to decline from 1995 to 2016, with a decrease of US$ 363.664 million. The total ESV per unit area of the sampling plot decreased, and the high-value was mainly distributed in areas within 5–10 km along the Yangtze River floodplain. (2) Wuhu city was mainly dominated by a relatively low ERI and medium ERI from 1995 to 2016. The high-value areas were mainly distributed in the mainstream of the Yangtze River, and the overall ERI improved. (3) There was a positive spatial correlation between the total ESV per unit area and ERI in Wuhu city, and these areas were mainly distributed in the Yangtze River mainstream region. According to this research, it is necessary to pay attention to the protection of wetland and forest landscapes, strengthen wetland ecological protection based on the Yangtze River and protect and restore natural mountain forests, all of which play important roles in improving the ecosystem service function of Wuhu city and protecting the ecological environment of the Yangtze River. We should act on that knowledge, and produce effective environmental regulations and habitat restoration efforts that improve the ESV and reduce the ERI. The findings of the study can serve as a reference for the management and protection of ecological environments in river-crossing cities.

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“…Compared with traditional ecological risk assessment, the assessment of ecological risk on the landscape scale pays particular attention to spatial heterogeneity. To date, landscape ecological risks associated with forests [17][18][19], river basins [20][21][22], coastal regions [23][24][25], arid deserts [15], national parks [26], cities [27][28][29], and mining areas [30][31][32] have been studied.…”

Section: Introductionmentioning

confidence: 99%

“…This method is usually used to evaluate the ecological risk of a specific pressure or interference source. The second takes a deviation from the optimal pattern as the risk source and evaluates the ecological effects [31][32][33]. In this method, the whole system is viewed as the receptor, and the ecological risk is usually evaluated in terms of ecological variation within the entire region, and then using landscape pattern indices to portray the research object landscape [34,35].…”

Section: Introductionmentioning

confidence: 99%

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Spatiotemporal Variations of Landscape Ecological Risks in a Resource-Based City under Transformation

Wang

et al. 2021

Sustainability

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The development of traditional resource-based cities requires drastic changes owing to the exhaustion of resources. During this transformation, the ecological environment of resource-based cities is threatened because of resource exploitation, in addition to the ecological risks caused by urban expansion. However, there is currently a lack of research on the evolution of ecological dangers in cities during this transformational period. Therefore, conducting relevant studies is essential to establishing a mechanism to mitigate these dangers. The present study analyzed Xuzhou, a typical resource-based city in China, as a case study. The main objective was to consider the dynamic changes in land use and ecological risks during the transformation of this resource-based city. The land-use changes in Xuzhou in 2000, 2010, and 2020 were analyzed, using the Markov model and landscape-pattern indices, allowing an ecological risk-assessment model of land-use changes to be constructed. Additionally, the spatial heterogeneity of ecological risks was evaluated by using spatial autocorrelation. The results showed that urban expansion influenced land use in Xuzhou significantly. Owing to the rapid urban expansion, the area of extremely high-risk regions increased significantly in 2010. Furthermore, the subsidence areas caused by mining had profound impacts on the region’s ecology, and early interventions for ecological restoration are needed to prevent further deterioration. During the transformation, Xuzhou’s overall ecological risks reduced gradually, which was conducive to its transition into an ecological city.

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Spatiotemporal Variations of Land Use and Landscape Ecological Risk in a Resource-Based City, from Rapid Development to Recession

Cited by 25 publications

References 22 publications

Evaluating the landscape ecological risk based on GIS: A case‐study in the Poyang Lake region of China

Evaluating the landscape ecological risk based on GIS: A case‐study in the Poyang Lake region of China

Spatial–Temporal Evolution and Correlation Analysis of Ecosystem Service Value and Landscape Ecological Risk in Wuhu City

Spatiotemporal Variations of Landscape Ecological Risks in a Resource-Based City under Transformation

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