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As an important "capital city economic circle," the determination of county carbon balance zones in the Beijing-Tianjin-Hebei counties is of great significance to its regional low-carbon development and achievement of the "dual-carbon" strategy. This study explores the spatial and temporal distribution patterns of carbon emissions and sequestration in the Beijing-Tianjin-Hebei counties from 2002 to 2020 based on the China carbon accounting database (CAD) and net ecosystem productivity (NEP) data. It further introduces the economy contributive coefficient (ECC) and ecological support coefficient (ESC) to analyze the energy efficiency and carbon sequestration capacity of the Beijing-Tianjin-Hebei counties, followed by the integration of the main functional areas (MFAs) of the territorial spatial planning. In this study, the carbon balance zoning of the Beijing-Tianjin-Hebei counties was optimized. The results showed that: ① In 2002, 2011, and 2020, the carbon emissions in the counties of Beijing and Tianjin showed a spatial distribution of "high in the southeast and low in the northwest," and the areas with high carbon sequestration were concentrated in the northwestern part of the counties of Zhangjiakou and Chengde. ② The ECC and ESC exhibited distinctive spatial heterogeneity in their spatial distribution, with ECC showing a decrease from Beijing to the surrounding area and the coefficient increasing with passing years. ESC showed a high spatial distribution in the north and low in the south, which showed improvement with passing years with the implementation of the sustainable development strategy. ③ The county carbon balance zoning after integrating the main function zoning was further refined into 16 sub-zones, where the low-carbon maintenance zone-key ecological function zone was mainly concentrated in the northwest, with a wider distribution but decreasing trend in quantity. Further, the distribution of the economic development zone-agricultural products and the carbon sink development zone-agricultural products main production zone was relatively stable, and the comprehensive optimization zone-agricultural products main production zone was mainly located in the southeastern part of the region, with a the number being the largest. These findings provides accurate data supporting the control of carbon emissions and economic development zoning in the Beijing-Tianjin-Hebei counties.
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http://dx.doi.org/10.13227/j.hjkx.202403287 | DOI Listing |
Background: Knee osteoarthritis (KOA) is a major health burden for adults and the elderly globally; however, national radiological and epidemiological data and predictive models for KOA are lacking in China. Most of the existing studies are limited to regional samples, which cannot accurately reflect disease burden and risk factors.
Objectives: This study aimed to systematically analyze the prevalence and risk factors of adult radiology KOA in China for the first time using a national representative sample and to develop a prediction model to provide a basis for public health strategies.
Discov Oncol
July 2025
Department of Breast Surgery, The Second Affiliated Hospital of Dalian Medical University, No. 467 Zhongshan Road, Shahekou, Dalian, 116000, Liaoning, China.
Objective: UBR2 (also referred to as n-recognin 2, the E3 component of ubiquitin protein ligase) targets proteins with unstable N-terminal residues for polyubiquitination and proteasome-mediated degradation. It was initially identified as a crucial oncogene during embryonic development. Nevertheless, the function of UBR2 in triple-negative breast cancer (TNBC) and its non-ubiquitination role, particularly in suppressing antitumor immune responses, remain elusive.
View Article and Find Full Text PDFHuan Jing Ke Xue
June 2025
College of Land and Resources, Hebei Agricultural University, Baoding 071000, China.
Vegetation net primary productivity (NPP) is an important variable reflecting the growth status of vegetation and an important indicator characterizing the carbon sequestration capacity of vegetation. Based on multi-source data such as MODIS NPP and climatic topography from 2002 to 2020, the spatial and temporal variations of vegetation carbon sequestration capacity in the Beijing-Tianjin-Hebei Region and its influencing factors were investigated at the county scale and image metric scale by using the methods of trend analysis, spatial analysis, Hurst index, optimal parameter geodetector, and bias correlation. The results showed that: ① The vegetation carbon sequestration capacity in the Beijing-Tianjin-Hebei Region showed a fluctuating increasing trend from 2002 to 2020, with an average annual increase of 4.
View Article and Find Full Text PDFHuan Jing Ke Xue
June 2025
Hebei Academy of Natural Resources Utilization and Planning, Shijiazhuang 050051, China.
Clarifying the impacts of urban land expansion on changes in the quality of the ecological environment in the Beijing-Tianjin-Hebei (BTH) urban agglomeration is of great significance for the high-quality development of the BTH urban agglomeration and the construction of ecological civilization. The urban expansion rate, urban expansion intensity, and landscape pattern index were introduced to analyze the urban expansion pattern of the BTH urban agglomeration from 2000 to 2020, the integrated remote sensing eco-environment index (IRSEI) was constructed based on the Google Earth Engine (GEE) platform to evaluate the regional eco-environmental change status, and the impact of the evolution of urban expansion pattern on the change of eco-environmental quality was investigated using a geographically and temporally weighted regression model (GTWR). The study produced several interesting results: ① The overall expansion rate of urban land in the BTH urban agglomeration from 2000 to 2020 was 217.
View Article and Find Full Text PDFPest Manag Sci
June 2025
Key Laboratory of National Forestry and Grassland Administration on Forest and Grassland Pest Monitoring and Warning, Center for Biological Disaster Prevention and Control, National Forestry and Grassland Administration, Shenyang, China.
Background: Pine wilt disease is one of the most destructive conifer diseases affecting pine species worldwide. Since its introduction to China in 1982, it has infected more than one billion pine trees, leading to significant ecological and economic losses. To enable precise prevention and control of pine wilt disease, this study first conducted exploratory visual analysis of the spatiotemporal data of pine wilt disease outbreaks and environmental factors to identify high-risk areas.
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