Spatio-Temporal Change in Urban Carbon Metabolism Based on Ecological Network Analysis: A Case Study in the Beijing–Tianjin–Hebei Urban Agglomeration, China DOI Creative Commons
Fang Xu, Xirong Guo

Land, Год журнала: 2024, Номер 13(12), С. 2252 - 2252

Опубликована: Дек. 23, 2024

Urban carbon emissions significantly contribute to climate change, exacerbating environmental issues such as global warming. Understanding metabolism is vital for identifying key emission sources and implementing targeted mitigation strategies. This study presents an innovative analysis framework that integrates ecological network (ENA) with land use dynamics, enriching the theoretical system providing policy recommendations sustainable urban development. We investigated in Beijing–Tianjin–Hebei Agglomeration (BTHUA) from 2000 2020 using statistical data. The ENA method quantified relationships between compartments. Our findings revealed industrial transportation exhibited highest density, while forest demonstrated sequestration density. Notably, negative net horizontal flow indicated changes exacerbated disorder of metabolism. increasing mutualism index suggested a reduction impacts on highlights importance spatial planning transforming provides comprehensive understanding dynamics influenced by changes. insights gained can inform effective strategies BTHUA similar agglomerations, ultimately contributing

Язык: Английский

Collaborative regulation of eco-environment pressure and sci-technology innovation ability in Beijing-Tianjin-Hebei urban agglomeration with environmental footprint integrated inversion DOI
Yizhong Chen,

Xiaocui Zhang,

Jing Li

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 375, С. 124368 - 124368

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Integrating Ecological Footprint into Regional Ecological Well-Being Evaluation: A Case Study of the Guanzhong Plain Urban Agglomeration, China DOI Creative Commons
Xiaozheng Zheng, Shuo Yang, Jianjun Huai

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 688 - 688

Опубликована: Март 25, 2025

This study incorporated ecological footprint (EF) consumption into a framework to assess well-being. A model and implementation for characterizing regional net well-being were then developed. Using the Guanzhong Plain Urban Agglomeration (GPUA) as case study, land use data from 2000 2020 utilized calculate ecosystem service value (ESV), representing supply side of functions. Simultaneously, EF was assessed demand side. Taking account level economic development characteristics people’s living, evaluation constructed arrive at deficit or surplus situation. The results indicated that: (1) overall ESV GPUA follows trend initial growth followed by decline. Woodland, grassland, farmland are main contributors total ESV, with regulating supporting services accounting more than 80% value. (2) in shows significant upward trend, increasing over 70% on average. carrying capacity has slightly increased, biologically productive area that can support human activities expanding 1909.49 million hectares. Additionally, urban agglomeration cities tended stabilize since 2015. (3) Since 2010, anthropogenic continued exceed capacity, resulting an deficit. average compensation per hectare increased 35.588 CNY 187.110 CNY. offers theoretical foundation definition research providing accurate assessment multiple scales. It is expected this approach will help reduce opportunity costs associated protection, while promoting balanced preservation.

Язык: Английский

Процитировано

0

Three-Dimensional Ecological Footprint Assessment of Cropland in Typical Grain-Producing Regions Based on Carbon Footprint Improvement DOI Creative Commons
Peipei Pan, Xing Yuan, Yanan Jiang

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 852 - 852

Опубликована: Апрель 14, 2025

The challenges of limited cropland resources and ecological degradation in grain-producing areas were addressed this study within the broader context China’s civilization dual carbon goals. An integrated framework was employed, applying three-dimensional footprint (EF3d) model, enhanced by improvement, to assess at provincial, municipal, county levels. analysis indicated a rise both absorption emissions, resulting surplus. Since 1984, chemical fertilizers have been identified as predominant source emissions. Carbon found vary distinctly among four crops. Additionally, fluxes displayed notable spatial temporal variability. deficit persisted, showing distinct clustering. Moreover, breadth (EFsize) exhibit pattern decrease–increase–decrease, while occupation remained high. depth (EFdepth) consistently surpassed threshold 1. Spatially, distribution EFsize opposite that EFdepth; centroid per capita EFdepth underwent significant shift. EF3d observed experience downward trend, with considerable regional disparities. Furthermore, unsustainable use across multiple scales. This research provides an empirical foundation for promoting advancing agriculture sustainable practices.

Язык: Английский

Процитировано

0

Assessing inter-industrial ecosystem service flows and economic benefits of sponge city: A comprehensive input-output analysis DOI
Weicen Chang, Gengyuan Liu, Yu Chen

и другие.

Environmental Impact Assessment Review, Год журнала: 2025, Номер 114, С. 107955 - 107955

Опубликована: Апрель 29, 2025

Язык: Английский

Процитировано

0

Past-to-future resources utilization efficiency and cross-regional compensation strategies in urban agglomerations driven by environmental footprint dynamic assessment DOI
Yizhong Chen,

Lingzhi Yang,

Yang Ren

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 118, С. 106056 - 106056

Опубликована: Дек. 9, 2024

Язык: Английский

Процитировано

0

Spatio-Temporal Change in Urban Carbon Metabolism Based on Ecological Network Analysis: A Case Study in the Beijing–Tianjin–Hebei Urban Agglomeration, China DOI Creative Commons
Fang Xu, Xirong Guo

Land, Год журнала: 2024, Номер 13(12), С. 2252 - 2252

Опубликована: Дек. 23, 2024

Urban carbon emissions significantly contribute to climate change, exacerbating environmental issues such as global warming. Understanding metabolism is vital for identifying key emission sources and implementing targeted mitigation strategies. This study presents an innovative analysis framework that integrates ecological network (ENA) with land use dynamics, enriching the theoretical system providing policy recommendations sustainable urban development. We investigated in Beijing–Tianjin–Hebei Agglomeration (BTHUA) from 2000 2020 using statistical data. The ENA method quantified relationships between compartments. Our findings revealed industrial transportation exhibited highest density, while forest demonstrated sequestration density. Notably, negative net horizontal flow indicated changes exacerbated disorder of metabolism. increasing mutualism index suggested a reduction impacts on highlights importance spatial planning transforming provides comprehensive understanding dynamics influenced by changes. insights gained can inform effective strategies BTHUA similar agglomerations, ultimately contributing

Язык: Английский

Процитировано

0