The Intensity Analysis of Production Living Ecological Land in Shandong Province, China

Sun, Xuejun; Yu, Chao; Wang, Junbang; Wang, Meng

doi:10.3390/su12208326

Cited by 16 publications

(12 citation statements)

References 46 publications

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“…During rapid urbanization and industrialization, land-use transitions may directly or indirectly impact regional ecoenvironments, leading to derived eco-environmental effects (Foley et al, 2005;Lambin and Meyfroidt, 2011;Zhang et al, 2011;Haas and Ban, 2014;Hu et al, 2016;Quintas-Soriano et al, 2016;Allington et al, 2017;Hanaõcek and Rodríguez-Labajos, 2018;Li et al, 2020;Long et al, 2020;Tian et al, 2020). The concept of production-living-ecological space (PLES) was first proposed in the report of the 18th National Congress of the Communist Party of China in 2012 (Hu, 2012), which stressed that "the production space should be intensive and highly efficient, the living space should be moderate and livable, and the ecological space should be unspoiled and beautiful" (Sun et al, 2020;Wang et al, 2020;Fu and Zhang, 2021). Research on land-use transitions and eco-environmental effects from the perspective of PLES is an important basis for optimizing the rational allocation of land resources and for constructing an ecological civilization, which has become a major topic in current research (Li et al, 2016;Liu et al, 2017;Asadolahi et al, 2018;Luo et al, 2018;Hu M. et al, 2019;Hu S. et al, 2019;Lou et al, 2019;Asabere et al, 2020;Tan et al, 2020;Xie et al, 2021;Wang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Production–living–ecological space transition and its eco-environmental effects based on an improved area-weighted method: A case study of Gangcheng District, a typical industrial base in China

Wei

Zhang

Chen

et al. 2022

Front. Environ. Sci.

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In the context of rapid social and economic development, it is important to clarify the evolution process of production–living–ecological space (PLES) and its eco-environmental effects on the sustainable utilization of land resources on industrial bases. Based on existing research, it is difficult to accurately measure the differences in eco-environment quality caused by conversions between land-use types in different years. This paper puts forward an improved area-weighted calculation method of the eco-environmental quality index (EQI), combining the land-use transfer matrix and ecological contribution rate to analyze eco-environmental effects on typical industrial bases. The results show that PLES transitions in Gangcheng District from 2009 to 2020 have been mainly from agricultural production and grassland ecology to forest ecology space, from urban living to industrial production space, and from grassland ecology to agricultural production space. This improved method can capture the environmental changes caused by conversions between land-use types in different years. The EQI of agricultural production space increased from 0.373 to 0.388, while the EQI of forest ecology space decreased from 0.810 to 0.739, and the comprehensive EQI increased from 0.441 to 0.470, showing that the eco-environment quality of the study area was improved overall. The conversions of agricultural production and grassland ecology space to forest ecology space were the main factors in improving eco-environment quality, and the conversions of grassland and forest ecology to agricultural production and of agricultural production to industrial production space were the main reasons for the deterioration of eco-environment quality. This paper may contribute to the scientific planning of land-use direction, support the coordination of regional economic and ecological development, and provide case references for similar regions.

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Section: Introductionmentioning

confidence: 99%

Production–living–ecological space transition and its eco-environmental effects based on an improved area-weighted method: A case study of Gangcheng District, a typical industrial base in China

Wei

Zhang

Chen

et al. 2022

Front. Environ. Sci.

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“…where α and β take 0.50 and 0.50 respectively to calculate the production-living coordination; α and χ take 0.55 and 0.45 respectively to calculate the production-ecological coordination; β and χ take 0.55 and 0.45 respectively to calculate the living-ecological coordination [41]. Therefore, the coupling and coordination level of PLES function in one study area can be obtained by Equations ( 6) and (7).…”

Section: Spatial Distribution and Evolution Characteristics Analysis ...mentioning

confidence: 99%

Quantitative Recognition and Characteristic Analysis of Production-Living-Ecological Space Evolution for Five Resource-Based Cities: Zululand, Xuzhou, Lota, Surf Coast and Ruhr

Tao

Wang

2021

Remote Sensing

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The accurate identification of PLES changes and the discovery of their evolution characteristics is a key issue to improve the ability of the sustainable development for resource-based urban areas. However, the current methods are unsuitable for the long-term and large-scale PLES investigation. In this study, a modified method of PLES recognition is proposed based on the remote sensing image classification and land function evaluation technology. A multi-dimensional index system is constructed, which can provide a comprehensive evaluation for PLES evolution characteristics. For validation of the proposed methods, the remote sensing image, geographic information, and socio-economic data of five resource-based urbans (Zululand in South Africa, Xuzhou in China, Lota in Chile, Surf Coast in Australia, and Ruhr in Germany) from 1975 to 2020 are collected and tested. The results show that the data availability and calculation efficiency are significantly improved by the proposed method, and the recognition precision is better than 87% (Kappa coefficient). Furthermore, the PLES evolution characteristics show obvious differences at the different urban development stages. The expansions of production, living, and ecological space are fastest at the mining, the initial, and the middle ecological restoration stages, respectively. However, the expansion of living space is always increasing at any stage, and the disorder expansion of living space has led to the decrease of integration of production and ecological spaces. Therefore, the active polices should be formulated to guide the transformation of the living space expansion from jumping-type and spreading-type to filling-type, and the renovation of abandoned industrial and mining lands should be encouraged.

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“…Land is an important vehicle for terrestrial ecosystems, and various land use types are interdependent and inter-constrained. The expansion or reduction of construction land will cause changes in other land use types, and carbon emissions and carbon sequestrations will also change accordingly [ 12 , 13 ]. Based on this, in terms of the acquisition of a carbon emissions dataset, this study has estimated the net carbon emissions from the perspective of carbon sinks and sources of land use, using the carbon emissions (sequestrations) of each land type and the carbon emissions for energy consumption associated with construction land.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

Liu

et al. 2022

IJERPH

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Human activities and land transformation are important factors in the growth of carbon emissions. In recent years, construction land for urban use in China has expanded rapidly. At the same time, carbon emissions in China are among the highest in the world. However, little is known about the relationship between the two factors. This study seeks to estimate the carbon emissions and carbon sequestrations of various types of land based on the land cover data of 137 county-level administrative regions in Shandong Province, China, from 2000 to 2020.The study estimated the carbon emissions for energy consumption using energy consumption data and night-time light images, hence, net carbon emissions. The Tapio decoupling coefficient was used to analyze the decoupling between the net carbon emissions and construction land, and where the model for the decoupling effort was constructed to explore the driving factors of decoupling. The results showed that net carbon emissions in Shandong Province continued to increase, and the areas with high carbon emissions were concentrated primarily in specific districts of the province. The relationship between net carbon emissions and construction land evolved from an expansive negative decoupling type to a strong negative decoupling type. Spatially, most areas in the province featured an expansive negative decoupling, but the areas with a strong negative decoupling have gradually increased. The intensive rate of land use and efficiencies in technological innovation have restrained carbon emissions, and they have contributed to an ideal decoupling situation. Although the intensity of carbon emission and the size of the population have restrained carbon emissions, efforts towards decoupling have faded. The degree of land use has facilitated carbon emissions, and in recent years, efforts have been made to achieve an ideal decoupling. The method of estimation of net carbon emissions devised in this research can lend itself to studies on other regions, and the conclusions provide a reference for China, going forward, to balance urbanization and carbon emissions.

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The Intensity Analysis of Production Living Ecological Land in Shandong Province, China

Cited by 16 publications

References 46 publications

Production–living–ecological space transition and its eco-environmental effects based on an improved area-weighted method: A case study of Gangcheng District, a typical industrial base in China

Production–living–ecological space transition and its eco-environmental effects based on an improved area-weighted method: A case study of Gangcheng District, a typical industrial base in China

Quantitative Recognition and Characteristic Analysis of Production-Living-Ecological Space Evolution for Five Resource-Based Cities: Zululand, Xuzhou, Lota, Surf Coast and Ruhr

Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China

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