Research on the evolution of spatiotemporal patterns of production-living-ecological space in an urban agglomeration in the Fujian Delta region, China

金星星,; 陆玉麒,; 林金煌,; 祁新华,; 胡国建,; 李欣,

doi:10.5846/stxb201801310267

Cited by 9 publications

(16 citation statements)

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“…Territorial spatial functions are interrelated and can be transformed, and land use functions are divided into primary and secondary functions under different land uses [49,50]. Based on the land use status classification, the paper refers to the results of the research quantifying the territorial spatial functions [25,51], estimates the equivalent value of ecosystem services [52] and considers the difference and strength of primary and secondary functions that land use can provide. It takes production land as an example, including production land (5 points), semi-production land (3 points), weak production land (1 point) and the functional deficiency (0 points).…”

Section: Assessment Of Territorial Spatial Functionmentioning

confidence: 99%

Coordinated State Analysis and Differential Regulation of Territorial Spatial Functions in Underdeveloped Regions: A Case Study of Gansu Province, China

et al. 2022

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The coordinated development of territorial spatial functions is the main manifestation of the sustainable utilization of territorial resources. Identifying spatial functions and their coordinated relationship has become an important guarantee for regional coordinated development, and is of great significance to the construction of a sustainable land development and protection pattern. This study constructs a classification and function scoring system for Production-Living-Ecological Spaces (PLES) by using land-use data from Gansu Province in 2000 and 2020, and revises the spatial functions of the land to supplement the deficiencies of existing related researches by combining socio-economic data (GDP, population density) and ecosystem service value data. In the aforementioned works, the Mechanical Equilibrium Model in physics is referenced to explore the coordinated state among territorial spatial functions. The results show that the high-value areas of production function are mainly distributed in the eastern and central areas of the Loess Plateau, with a strip-like distribution in the Hexi Corridor. The high-value areas of living function are consistent with that in the center of the city. The distribution of high-value areas of ecological function is in line with the topographic distribution pattern of mountainous areas in Gansu Province. The distribution pattern of the coordinated state of land space function in Gansu Province is relatively stable from 2000 to 2020. Simultaneously, the functional dominant area and the promotion area are identified according to the deviation of the coordinated degree of production-living-ecological function. After clarifying the functional characteristics of each county, the author proposes a differentiated regulation strategy of territorial spatial function.

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Section: Assessment Of Territorial Spatial Functionmentioning

confidence: 99%

Coordinated State Analysis and Differential Regulation of Territorial Spatial Functions in Underdeveloped Regions: A Case Study of Gansu Province, China

et al. 2022

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“…The accurate division of spatial types is the basis for a study of the conflicts between production, living, and ecological spaces (Dai et al, 2018; Liu, Liang et al, 2017; Liu, Liu et al, 2017; Liu, Xu et al, 2017). Land has the characteristics of multiple functions and suitability (Fang et al, 2003; Jin et al, 2018). To describe the land‐use function space more comprehensively, this study refers to the existing literature to divide the PLESs in Wuhan.…”

Section: Methodsmentioning

confidence: 99%

Dynamic simulation and conflict identification analysis of production–living–ecological space in Wuhan, Central China

Wang

2022

Integr Envir Assess & Manag

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Under the current rapid urbanization and industrialization in China, competition for production, living, and ecological spaces is becoming fierce. Improving production-living-ecological spaces (PLESs) has become a core issue in China's landspace development strategy. In this study, the multiple linear logistic regression (MLLR)-multicriteria evaluation (MCE)cellular automata (CA)-Markov hybrid model was used to predict the land-use pattern for 2030, and the spatial conflict model was established based on landscape indices to measure the evolution characteristics of spatial conflicts. The results demonstrated that, from 2005 to 2030, the production-ecological space (PES) will have front-runner status in Wuhan, followed by the ecological-production space (EPS). In 2005-2015, the living-production space (LPS) and PES occupied large amounts of EPS and ecological space (ES), especially in the main urban areas and near rivers, and the spatial transformation was the most significant. By 2030, there will be less transformation of each space type, but the conversion amount of LPS will still be relatively large. With the passage of time, the LPS will increase, the EPS will decrease slightly, and the ES will fluctuate. During the period 2005-2030, the conflict level will change gradually from seriously out of control to controllable, and the hot spot of PLES will show a scattering distribution. The cold spot area will be distributed mainly in the southern part of Wuhan, which will be expanded greatly by 2030. Our research indicates that analyzing the reasonable utilization of PLES is of great value by identifying spatial conflicts; differentiated sustainable development strategies should be formulated according to the future spatial and temporal patterns of PLES, which can help in scientific judgments on the spatial matching of land use and provide early warnings of spatial conflicts.

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“…Based on the actual situation of the multifunctionality of different land utilization categories [15,19], the multi-functional measurement index of PLES (PLESI) was constructed to finely evaluate the functional level of PLES on a spatial scale in the URHR. The formula for evaluating is shown as…”

Section: Classification System and Functional Measurement Of Plesmentioning

confidence: 99%

“…In recent years, great efforts have been made in research on PLES: First, in terms of classification and identification of PLES, most researchers divide different lands into three types of ES, LS, and PS on the basis of the predominant function of the land categories and have made numerous investigations about the spatiotemporal patterns of PLES at the national scale [13], provincial scale [14], city and county scale [15,16], township scale [17], economic belt and urban agglomeration [18][19][20], watershed and basin scale [21]. Simultaneously, temporal and spatial changes are inevitably accompanied by the process of the mutual encroachment or tradeoff of PLES, such as the spatial coordination and conflict of PLES [22,23].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variations of Production–Living–Ecological Space under Various, Changing Climate and Land Use Scenarios in the Upper Reaches of Hanjiang River Basin, China

Wang,

Li,

Zhang

et al. 2023

Land

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Land is an important resource that supports the production, life, and ecological development of human society. The current research on production–living–ecological space (PLES) is mainly focusing on the identification of single and dominant functions of land space, and the comprehensive spatial function measurement index of PLES (PLESI) is less known in the effective quantitative evaluation of multifunctionality of different land use categories. Integrating the CMIP6 (Coupled Model Intercomparison Project phase 6) scenario data and the future land use simulation model (FLUS), this research took the upper reaches of the Hanjiang River (URHR) as an example to explore the temporal and spatial variations in land use, PLES, and PLESIs during 2000–2020, and in the SSP2-4.5 and SSP5-8.5 scenarios from 2021 to 2100. The findings were as follows: (1) Forest land is the most widely distributed type of land; correspondingly, ecological space has the widest distribution area in PLES, followed by production space. (2) The area of dry land and building land increased between 2000 and 2010, accompanied by the increase in living space. From 2010 to 2020, the growth rate of building land tended to slow down while forest land increased, and the conflict of PLES eased. (3) The transfer between forest land and dry land is projected to intensify under the SSP2-4.5 scenario, while it is projected to occur between forest land and grassland under the SSP5-8.5 scenario. As for the changes in PLES, the SSP2-4.5 scenario has a greater impact than the SSP5-8.5 scenario. Spatially, several sub-basins in the northern URHR are the main areas of land use and PLES change. (4) PLESI presents a significant downward trend from 2000 to 2020 while trending upward under the SSP5-8.5 scenario and trending downward slightly under the SSP2-4.5 scenario between 2020 and 2100. Combining climate scenarios and the future land use simulation, this research would support the effective utilization of regional land resources and ecosystem management decision-making.

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Research on the evolution of spatiotemporal patterns of production-living-ecological space in an urban agglomeration in the Fujian Delta region, China

Cited by 9 publications

References 0 publications

Coordinated State Analysis and Differential Regulation of Territorial Spatial Functions in Underdeveloped Regions: A Case Study of Gansu Province, China

Coordinated State Analysis and Differential Regulation of Territorial Spatial Functions in Underdeveloped Regions: A Case Study of Gansu Province, China

Dynamic simulation and conflict identification analysis of production–living–ecological space in Wuhan, Central China

Spatiotemporal Variations of Production–Living–Ecological Space under Various, Changing Climate and Land Use Scenarios in the Upper Reaches of Hanjiang River Basin, China

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