Spatial-Temporal Dynamics of Carbon Budgets and Carbon Balance Zoning: A Case Study of the Middle Reaches of the Yangtze River Urban Agglomerations, China

Land, Journal Year: 2024, Volume and Issue: 13(3), P. 297 - 297

Published: Feb. 27, 2024

Analysis of the spatial variation characteristics regional carbon sources/sinks is a prerequisite for clarifying position balance zones and formulating measures to reduce emissions increase sinks. Studies sinks have often used coefficient method, which limited by sample size, measurement error, low resolution. In this study, 31 cities in middle reaches Yangtze River urban agglomerations (MRYRUA) were studied with improved CASA (Carnegie Ames Stanford Approach) model estimate grid-scale net ecosystem productivity (NEP) explore spatial-temporal evolution budgets from 2005 2020. By calculating index (CBI), economic contribution (ECC), ecological support (ESC), zoning was conducted. Corresponding suggestions are based on results. From 2020, increased high north-central region south. addition, sink functional distributed rich resources. Low-carbon shifted Poyang Lake Urban Agglomeration Wuhan City Circle; low-carbon optimization occurred Circle Agglomeration. Carbon intensity control high-carbon rapid development. Our results MRYRUA achieving “double carbon” targets collaborative reduction policies.

Language: Английский

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Spatial–Temporal Difference of Urban Carbon Budget and Carbon Compensation Optimization Partition from the Perspective of Spatial Planning

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 414 - 414

Published: Feb. 17, 2025

Spatial planning, recognized as a systematic policy instrument for regional development and governance, plays crucial role in achieving carbon peak neutrality. This study establishes framework sources/sinks estimation compensation optimization conducts empirical research representative coal resource-based city. We analyzed the spatial–temporal distribution characteristics of net emissions Huaibei from 2006 to 2020 using spatial correlation model an improved Carnegie–Ames–Stanford approach (CASA). Then, we applied normalized revealed comparative advantage (NRCA) index SOM-K-means clustering categorize pattern into payment, balance, areas. These areas were further integrated with “Three-zones Three-lines” reclassify nine partition types. Finally, proposed targeted emission reduction sink enhancement scheme. found that urban sinks exhibit significant mismatch, intensity reaching 166.76–383.27 t·hm−2 2020, showing rapid increase followed by stabilization. The high-value area, centered Xiangshan District, exhibits circularly decreasing characteristic, gradually extending central city Suixi County. In optimized payment level contributive coefficient surpasses ecological support (3.92 < ECC 6.04, 2.09 ESC 3.58). space balance area type is primarily situated mining subsidence areas, leading lower overall (0.42 0.57, 0.49 1.13). (2.24 3.25, 4.59 5.69) requires economic or non-economic area. combines results formulate program, which not only helps consolidate theory low-carbon cities but also effectively promotes realization goal.

Language: Английский

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Assessment of Low-Carbon Utilization in Territorial Space and Identification of Its Driving Factors: A Case Study of the Yangtze River Economic Belt in China

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 738 - 738

Published: March 29, 2025

The low-carbon utilization (LCU) of territorial space represents a critical strategy for addressing climate change and promoting sustainable development, yet current assessments in this domain remain insufficient. This study develops an integrated assessment framework utilizing kernel density estimation, optimal parameter-based geographical detector, the Tobit regression model to analyze spatiotemporal evolution, typology, driving factors LCU Yangtze River Economic Belt. findings reveal that index region increased from 0.548 2005 0.569 2020, despite significant regional disparities. Cities are classified into eight distinct types LCU, with over 80% demonstrating poor performance at least one functional space, particularly urban where number cities below average is highest. analysis demonstrates spaces influenced by integration natural conditions, socio-economic factors, landscape patterns. In light these findings, systematically proposes policy recommendations enhance space. research contributes establishment scientific evaluation providing empirical evidence improve spatial governance policies support development.

Language: Английский

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Decoding urban emissions: the overlooked impact of commercial and public service zones across regions and seasons

GIScience & Remote Sensing, Journal Year: 2025, Volume and Issue: 62(1)

Published: April 18, 2025

Language: Английский

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Examining intra-city carbon budget and carbon balance zoning based on firm-level big data: A case study of Nanjing, China

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112304 - 112304

Published: July 13, 2024

Language: Английский

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Spatiotemporal Evolution of Territorial Spaces and Its Effect on Carbon Emissions in Qingdao City, China

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1717 - 1717

Published: Oct. 20, 2024

Land use change has always been a significant factor affecting global carbon emissions. Dissecting the characteristics of territorial space evolution and its impact on emissions is crucial for developing low-carbon-oriented optimization governance strategies. This paper calculates associated with spaces in Qingdao from 2000 to 2020, utilizing land data alongside various statistical data. Based accounting results, their corresponding emissions, as well transition dynamics resulting transfer, are analyzed. A decomposition formula then proposed quantify differential spatially heterogeneous impacts changes types socio-economic development The results indicate that: (1) during 2000–2020 characterized by an expansion living contraction production ecological spaces; (2) net rose 313.98 × 104 tons 1068.58 tons, urban contributing most (69.96% 2020) due significantly high emission density. spatial distribution exhibited stable “northwest–southeast” pattern, increased dispersion weakened directionality; (3) transformation promoted Qingdao, conversion other uses yielding favorable transitions, while expropriation agricultural residents’ resulted detrimental transitions; (4) shapes overarching pattern regional density changes, whereas transfers account local variations. also identifies priorities key sectors reduction. findings contribute deeper understanding consequences thereby providing valuable insights planning aimed at promoting low-carbon development.

Language: Английский

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Contributing to Carbon Neutrality Targets: A Scenario Simulation and Pattern Optimization of Land Use in Shandong Province Based on the PLUS Model

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5180 - 5180

Published: June 18, 2024

Land use profoundly impacts the sustainable development of ecological environment. Optimizing land patterns is a vital approach to mitigate climate change and achieve carbon neutrality. Using Shandong Province as case study, this research evaluates cover (LUCC) on regional storage emissions. Employing coupled PLUS–InVEST–GM(1,1) model, simulations were conducted for scenarios including natural scenario (NS), cropland protection (CPS), high-speed (HDS), low-carbon (LCS), assess LUCC changes in emissions from 2030 2060 under these scenarios. The findings indicate that due expansion construction significant declines arable grassland areas, increased by 40,436.44 × 104 t over 20-year period, while decreased 4881.13 t. Notably, forests contributed most sequestration, emerged primary source Simulating four demonstrates measures such protecting cropland, expanding forest, grassland, aquatic controlling expansion, promoting intensive positively affect emission reductions sequestration Shandong. These underscore importance rational planning patterns, which can enhance contributions neutrality harmonizing relationships among protection, conservation, economic development.

Language: Английский

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Research Progress and Hotspot Analysis of Low-Carbon Landscapes Based on CiteSpace Analysis

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7646 - 7646

Published: Sept. 3, 2024

Global climate change caused by carbon dioxide emissions has become a hot topic globally. It is of great significance to study how low-carbon landscapes can reduce and improve the ecological environment. In this study, CiteSpace software was used conduct bibliometric analysis research field. The data were based on 2910 studies published in field from 2002 2023. By analyzing number publications field, cooperation networks, keywords, etc., status, processes, hotspots systematically reviewed. results show following: (1) Between 2023, landscape developed rapidly, gradually becoming multidisciplinary A large conducted relevant institutions scholars 106 countries. (2) focuses emission reduction, renewable energy, life cycle assessment, etc. mainly goes through following stages: theoretical technology, application development economy. (3) Research frontiers focus emission-reduction technologies, methods, materials. This deeply analyzes process puts forward direction for future urban development, such as economic benefit assessments, ecosystem restoration protection, social participation, policy support, order provide reference research.

Language: Английский

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How far need to go from peak to neutrality? Perspective from energy consumption emission offset analysis in Beijing-Tianjin-Hebei Agglomeration

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 468, P. 143119 - 143119

Published: July 11, 2024

Language: Английский

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Urban low-carbon governance zoning coupled with urban attributes and spatial networks: Theoretical framework and practical path

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123865 - 123865

Published: Dec. 29, 2024

Language: Английский

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