Ecological risk assessment of an ecological migrant resettlement region based on landscape structure: A case study of Hongsibu in Ningxia

Peng, 王鹏 Wang; Yajuan, 王亚娟 Wang; Xiaopeng, 刘小鹏 Liu; Xiao, 陈晓 Chen; Fuxing, 孔福星 Kong

doi:10.5846/stxb201704280784

Cited by 7 publications

(14 citation statements)

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“…Numerous studies had similar results. For example, Liu [67] and Wang [68] found that the landscape pattern of construction land was riskier than other types in different landscape types. By 2030, the demand for population and construction land in the study area will inevitably increase.…”

Section: Discussionmentioning

confidence: 99%

Identification and Prediction of Wetland Ecological Risk in Key Cities of the Yangtze River Economic Belt: From the Perspective of Land Development

et al. 2021

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Rapid urbanization aggravates the degradation of wetland function. However, few studies have quantitatively analyzed and predicted the comprehensive impacts of different scenarios and types of human activities on wetland ecosystems from the perspective of land development. Combined with the Habitat Risk Assessment (HRA) model and the Cellular Automata (Ca)-Markov model, this study quantitatively measured the impact intensity and spatial distribution of different types of human activities on the wetland ecosystem in 2015, simulated and predicted the ecological pressure on the wetland in 2030, and identified the ecological risk hotspots of the Yangtze River waterfront along the upper, middle, and lower reaches of the Yangtze River Economic Belt. The results showed that the ecological risk of wetlands in the study area was low in the urban core and high in the suburbs. Construction activities posed a greater risk to wetlands. The intensity of human activities in the ecological protection scenario will be significantly lower than that in the natural development scenario in 2030. The waterfront in the middle and lower reaches of the Yangtze River will face more ecological risks. The results of the study can provide theoretical and technical support for wetland conservation policy formulation and waterfront development in the Yangtze River Economic Belt.

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Section: Discussionmentioning

confidence: 99%

Identification and Prediction of Wetland Ecological Risk in Key Cities of the Yangtze River Economic Belt: From the Perspective of Land Development

et al. 2021

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“…This risk unit segmentation method can be used to effectively analyze ecological risk patterns and accurately control risk management zoning. For research purposes, the related research on ecological risk paid more attention to the spatial and temporal differences in ecological risk [24,47], risk accumulation effects [21] and risk prediction [25,46]. Specific suggestion for ecological restoration based on differentiated risk management categories is relatively rare and thus, it is often difficult for risk assessment results to inform more specific applications.…”

Section: Discussionmentioning

confidence: 99%

“…where LLI k denotes the landscape loss index of a small watershed k; n is the number of landscape types; E i is the landscape disturbance index of landscape i; F i is the landscape vulnerability index of landscape i; S ki is the area of landscape components i in a small watershed k; and S k is the total area of a small watershed k. By referring to previous studies [21,24,46,47], the detailed calculation methods of E i and F i were given in Table 3. Table 3.…”

Section: Impairmentmentioning

confidence: 99%

“…With the increase of risk factors, ecological risk assessments have been transformed from representing a single risk source to a comprehensive representation of multiple risk sources [12] and the risk receptors have gradually expanded to capture complex regional social-economic-natural ecosystems [13]. In the classical evaluation framework of "probability-impairment" [14], evaluation methods using regional ecological risk assessment [15][16][17][18][19][20] and landscape ecological risk assessment [21][22][23][24] have been widely used in ecological risk assessment. The evaluation method of regional ecological risk assessment pays great attention to the probability of multiple risk sources and ecological impairment and focuses on the spatial difference of single and comprehensive ecological risk factors [6].…”

Section: Introductionmentioning

confidence: 99%

“…The landscape ecological risk assessment focuses more on the spatio-temporal heterogeneity of ecological risk and its scale effects from the perspective of the coupling of spatial patterns and ecological processes [23]. Landscape loss index was constructed by using the degree of interference and vulnerability to analyze the spatio-temporal differentiation of risk [23,24]. Zhang et al made risk predictions based on land use and CA-Markov [25].…”

Section: Introductionmentioning

confidence: 99%

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A Quantitative Assessment of Comprehensive Ecological Risk for a Loess Erosion Gully: A Case Study of Dujiashi Gully, Northern Shaanxi Province, China

et al. 2018

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As a tool that can effectively support ecosystem management, ecological risk assessment is closely related to the sustainable development of ecosystems and human well-being and has become an active area of research in ecology, geography and other disciplines. Taking Dujiashi Gully for the study of gully loess erosion, a comprehensive risk assessment system for identifying risk probability, sensitivity and impairment was established. The spatial distribution of comprehensive ecological risk was analyzed, the ecological risk management categories were simultaneously delineated based on the risk dominant factor and the risk management strategies were formulated in loess regions. The results were as follows: (1) the spatial differences in comprehensive ecological risk were significantly different in the research area. The regions with extremely high and high risk were mainly located in gully areas and secondary erosion gullies, which are in 28.02% of study area. The extremely low-risk areas covered 1/3 of the study area and were mainly distributed to the northwest and south of the study area, where hills are widely spaced. (2) The combined analysis of ecological risk and terrain found that the elevation decreased first and then rose but the comprehensive ecological risk increased first and then decreased from north to south. Comprehensive ecological risk and terrain generally showed an inverse relationship. (3) The study area was divided into four types of risk management categories. Risk monitoring zones, habitat recovery zones, monitoring and recovery zones and natural regulation zones encompass 14.84%, 12.44%, 26.47% and 46.25% of the study area, respectively. According to four types of risk management categories, different risk reduction measures were designed to improve regional sustainable development capacity. Risk identification and risk management categories based on comprehensive ecological risk model can design a sustainable development path for social ecosystem and local farmers and provide a method for sustainable development for similar gully landscapes.

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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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Ecological risk assessment of an ecological migrant resettlement region based on landscape structure: A case study of Hongsibu in Ningxia

Cited by 7 publications

References 0 publications

Identification and Prediction of Wetland Ecological Risk in Key Cities of the Yangtze River Economic Belt: From the Perspective of Land Development

Identification and Prediction of Wetland Ecological Risk in Key Cities of the Yangtze River Economic Belt: From the Perspective of Land Development

A Quantitative Assessment of Comprehensive Ecological Risk for a Loess Erosion Gully: A Case Study of Dujiashi Gully, Northern Shaanxi Province, China

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

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