Distinct types of restructuring scenarios for rural settlements in a heterogeneous rural landscape: Application of a clustering approach and ecological niche modeling

Li, Guoyu; Cao, Yu; Wang, Jiayi; Fang, Xiaoqian; Zhou, Limin; Liu, Yongjie

doi:10.1016/j.habitatint.2020.102248

Cited by 35 publications

(19 citation statements)

References 43 publications

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“…From a technical perspective, zoning is a clustering method that classifies the geographical units by maximizing the differences among each cluster. Numerous evidences have suggested that clustering algorithm can serve as a cost-effective analysis tool to processing a variety of spatial attributes and generate credible results for zoning decision-making [42,43]. Particularly, the k-means clustering method and Kohonen self-organized feature map (SOFM) neural network were usually used in the attempts to delineating the boundary of URF.…”

Section: Large-scale Urf Identification Through Clustering Methodsmentioning

confidence: 99%

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Understanding the Diversity of Urban–Rural Fringe Development in a Fast Urbanizing Region of China

Cao

et al. 2021

Remote Sensing

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The territories between urban and rural areas, also called urban–rural fringe, commonly present inherent instability and notable heterogeneity. However, investigating the multifaceted urban–rural fringe phenomenon based on large-scale identification has yet to be undertaken. In this study, we adopted a handy clustering-based method by incorporating multidimensional urbanization indicators to understand how the urban–rural fringe development vary across space and shift over time in the Yangtze River Delta Urban Agglomeration, China. The results show that (1) the growth magnitude of urban–rural fringe areas was greater than urban areas, whereas their growth rate was remarkably lower. (2) The landscape dynamics of urban–rural fringe varied markedly between fast-developing and slow-developing cities. Peripheral sprawl, inter-urban bridge, and isolated growth were the representative development patterns of urban–rural fringe in this case. (3) Urban–rural fringe development has predominantly occurred where cultivated land is available, and significant inter-provincial differences and tendency shifts have been found in the land cover change processes therein. Our findings indicate that the urban–rural fringe development should be considered as a stage-dependent and place-specific process. This work extends previous knowledge by unraveling the diversity of urban–rural fringe in a fast urbanizing region, and can provide insights into reorienting the spatial planning and land use management within the urban–rural interface.

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Section: Large-scale Urf Identification Through Clustering Methodsmentioning

confidence: 99%

“…zoning decision-making [42,43]. Particularly, the k-means clustering method and Kohonen self-organized feature map (SOFM) neural network were usually used in the attempts to delineating the boundary of URF.…”

Section: Large-scale Urf Identification Through Clustering Methodsmentioning

confidence: 99%

Understanding the Diversity of Urban–Rural Fringe Development in a Fast Urbanizing Region of China

Cao

et al. 2021

Remote Sensing

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“…In this study, the mean (AUC value for the current climate) was particularly high at 0.916 for the replicate runs, which showed that the results of model performance were acceptable for predicting the potential distribution of glaciers. According to the suitability analysis of MaxEnt model in other fields, such as the optimization of settlement pattern [23] and the risk assessment of mountain torrents and landslides [24], good simulation and prediction results were obtained. Thus, it was very feasible and adaptable to use the MaxEnt model in this study.…”

Section: Model Adaptability and Determination Of Glacier Potential Distribution Areamentioning

confidence: 99%

“…The maximum entropy model (MaxEnt) remains an active area of research, and its applications in diverse areas are still being explored at the annual conference [19]. It is more inclined to simulate and explain the laws of natural phenomena, which are no longer limited to the potential distribution of species, and has attracted attention in abiotic fields, such as the interaction between population and social environment [20,21], the planning of protected areas [22], the optimization of settlement pattern [23], the assessment of natural disasters such as flood and landslide susceptibility [24], and the prediction of suitable areas for potential distribution of wetlands [25]. It has many advantages over other models, including dealing with complex interactions between variables, low sensitivity to small samples, among others [26].…”

Section: Introductionmentioning

confidence: 99%

Simulation of the Potential Distribution of the Glacier Based on Maximum Entropy Model in the Tianshan Mountains, China

Wang

Zhang

Liu

et al. 2021

Water

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Under the background of global climate change, the variation in the spatial distribution and ice volume of mountain glaciers have a profound influence on regional economic development and ecological security. The development of glaciers is like biological succession; when climate change approaches or exceeds the threshold of suitable conditions for glacier development, it will lead to changes in potential distribution pattern. Therefore, from the perspective of the "biological" characteristics of glaciers, it is a beneficial exploration and attempt in the field of glaciology to explore its potential distribution law with the help of the niche model. The maximum entropy model (MaxEnt) can explain the environmental conditions suitable for the survival of things by analyzing the mathematical characteristics and distribution laws of samples in space. According to glacier samples and the geographical environment data screened by correlation analysis and iterative calculation, the potential distribution pattern of Tianshan glaciers in China in reference years (1970–2000) was simulated by MaxEnt. This paper describes the contribution of geographical environmental factors to distribution of glaciers in Tianshan Mountains, quantifies the threshold range of factors affecting the suitable habitat of glaciers, and predicts the area variation and distribution pattern of glaciers under different climate scenarios (SSP1-2.6, SSP5-8.5) in the future (2040–2060, 2080–2100). The results show that the MaxEnt model has good adaptability to simulate the distribution of glaciers. The spatial heterogeneity of potential distribution of glaciers is caused by the spatio-temporal differences of hydrothermal combination and topographic conditions. Among the environmental variables, precipitation during the wettest month, altitude, annual mean temperature, and temperature seasonality have more significant effects on the potential distribution of glaciers. There is significant spatial heterogeneity in the potential distribution of glaciers in different watersheds, altitudes, and aspects. From the forecast results of glacier in various climatic scenarios in the future, about 18.16–27.62% of the total reference year glacier area are in an alternating change of melting and accumulation, among which few glaciers are increasing, but this has not changed the overall retreat trend of glaciers in the study area. Under the low emission scenario, the glacier area of the Tianshan Mountains in China decreased by 18.18% and 23.73% respectively in the middle and end of the 21st century compared with the reference years and decreased by 20.04% and 27.63%, respectively, under the high emission scenario, which showed that the extent of glacier retreat is more intense under the high emission scenario. Our study offers momentous theoretical value and practical significance for enriching and expanding the theories and analytical methods of the glacier change.

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“…Recently, with the advancements in the global positioning system, geographic information system, and remote sensing technologies, numerous ecological models have been used to evaluate the HQ. For example, the environmental niche model was used for finding that organism's role within that environment [8][9][10], the habitat suitability index models (HIS) have been utilized to assess preservation plans and the possible effects of management measures on HQ [11,12], but many species-specific data are required to run the niche and the HIS models. However, the Integrated Valuation of Environmental Services and Tradeoffs model (InVEST) does not require data about the species' distribution or presence.…”

Section: Introductionmentioning

confidence: 99%

Strategies to Mitigate the Deteriorating Habitat Quality in Dong Trieu District, Vietnam

Shen

Lai

2022

Land

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Dong Trieu district is a vital connection for territorial ecological security and human welfare between Hanoi (the capital of Vietnam) and Quang Ninh province. Therefore, habitat quality (HQ) is of extraordinary importance to the area’s sustainable development. The ArcGIS platform, Dyna-CLUE, and InVEST models were utilized in this study to assess the spatial and temporal transformations of land use and the changes of HQ in 2030 under various scenarios, with intentions to find strategies that may mitigate the HQ’s deteriorating trend in the district. Simulated results indicated that, assuming the development is maintained as usual, the average HQ of the District at 2030 could diminish by 0.044 from that of 2019 (a four-times decrease compared to the previous decade). Cases comprised of four basic scenarios, including development as usual, built-up expansion slowdown, forest protection emphasized, and agricultural land conversion, were used to identify potential strategies to mitigate the deteriorating trend. Simulated results revealed that keeping the built-up expansion rate lower than 100 ha y−1, the deforestation rate lower than 20 ha y−1, and preferring orchards over agricultural land conversion is required to limit the drop in HQ to within 0.01 in the next decade. Other than the existing population growth control policy, new guidelines such as (1) changing urban expansion type from outward to upward to control the built-up expansion rate, (2) substituting forest-harming industries to forest-preservation industries to reduce deforestation rate, (3) encouraging orchards preferred over agricultural land conversion to increase incomes while maintaining higher habitat quality, (4) practicing better farming technologies to improve crop production and to alleviate potential food security issues due to considerable reduction in cropland, and (5) promoting Green Infrastructure and the Belt and Road Initiative to increase urban green cover and raise residents’ income should be considered in designing the new mitigation strategies.

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Distinct types of restructuring scenarios for rural settlements in a heterogeneous rural landscape: Application of a clustering approach and ecological niche modeling

Cited by 35 publications

References 43 publications

Understanding the Diversity of Urban–Rural Fringe Development in a Fast Urbanizing Region of China

Understanding the Diversity of Urban–Rural Fringe Development in a Fast Urbanizing Region of China

Simulation of the Potential Distribution of the Glacier Based on Maximum Entropy Model in the Tianshan Mountains, China

Strategies to Mitigate the Deteriorating Habitat Quality in Dong Trieu District, Vietnam

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