Balancing low-carbon and eco-friendly development: coordinated development strategy for land use carbon emission efficiency and land ecological security DOI
Ying‐yi Hong,

Hong Yu,

Yuchen Lu

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(6), P. 9495 - 9511

Published: Jan. 8, 2024

Language: Английский

Temporal-spatial variation and regulatory mechanism of carbon budgets in territorial space through the lens of carbon balance: A case of the middle reaches of the Yangtze River urban agglomerations, China DOI Creative Commons

Suwen Xiong,

Fan Yang, Jiayu Li

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110885 - 110885

Published: Sept. 1, 2023

As China's largest cross-regional urban agglomerations, the middle reaches of Yangtze River agglomerations (MRYRUA) possess both significant societal carbon source volume and ecological sequestration capacity. Nevertheless, with uncontrolled expansion energy consumption activities industry migration from eastern coastal regions to inland cities, budget pattern territorial space is increasingly unbalanced in MRYRUA. To achieve low-carbon regulation, this study utilized land use data 31 cities within MRYRUA establish a "carbon source-carbon sink" quantification spatiotemporal exploration model, revealing spatial-temporal variation budgets 2005 2020. Furthermore, we developed balance indicator analysis system by employing offset rate (COR), productivity (CP), Gini coefficient, support coefficient (ESC), economic contribution (ECC), functional zoning was performed. Finally, using GM (1,1) derived for 2050 explored differentiated regulatory mechanisms under perspective. The results indicated that: (1) MRYRUA's have increased annually, displaying spatial distribution highest values central region, followed northwest, lowest southeast near water bodies. differentiation effects manifest as an east–west axial development trend, clustering demonstrating propensity outward dispersion northern hot spot radiation core. (2) COR has consistently remained below 10% decreased while CP shown yearly increase at accelerating rate. ESC ECC exhibit evident heterogeneity among cities. In response emission benefits carrying capacity reflected indicators, each city classified into zones, intensity control sink high-carbon optimization zones. (3) From 2020 2050, polarization trend continues intensify. Subsequently, established mechanism. This mechanism strengthens leading role zones green transition, moderately retains solid fixation capabilities, promotes transition research findings provide scientific basis formulating planning policies neutrality

Language: Английский

Citations

22

An input-output-based Bayesian neural network method for analyzing carbon reduction potential: A case study of Guangdong province DOI
Bingyi Zhou, Yongping Li, Y.K. Ding

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 389, P. 135986 - 135986

Published: Jan. 11, 2023

Language: Английский

Citations

21

Spatial and Temporal Variability Characteristics of Future Carbon Stocks in Anhui Province under Different SSP Scenarios Based on PLUS and InVEST Models DOI Creative Commons
Shuaijun Yue, Guangxing Ji, Weiqiang Chen

et al.

Land, Journal Year: 2023, Volume and Issue: 12(9), P. 1668 - 1668

Published: Aug. 25, 2023

With the rapid development of social economy, human activities have had a severe impact on environment. The global climate issue caused by CO2 emissions has attracted attention various countries around world, and reducing is urgent. This article simulates changes in carbon storage Anhui Province from 2030 to 2070 based SSP1-2.5, SSP2-4.5, SSP5-5.8 scenarios. First, land use data 2010, PLUS model was used simulate 2015, accuracy simulation results verified against real data. Then, were simulated future period under different SSP Finally, InVEST model, spatiotemporal calculated. research showed that, during 2070, spatial distribution three scenario simulations generally pattern high north south, low central region. Under SSP1-2.6 scenario, Province’s decreased 0.33 million tons, decrease 0.029%. SSP2-4.5 increased 0.25 an increase 0.021%. SSP5-8.5 1.54 0.133%. reasons for related areas arable land, forest grassland. study can provide reference low-carbon planning.

Language: Английский

Citations

18

Promoting sustainable development by mitigation of natural habitat quality decline through multifunctional urban land use: Insights from a multi-scenario simulation DOI
Houxing Gao, Xiaoqing Song,

Huixiao Xu

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 110, P. 105563 - 105563

Published: May 31, 2024

Language: Английский

Citations

7

Balancing low-carbon and eco-friendly development: coordinated development strategy for land use carbon emission efficiency and land ecological security DOI
Ying‐yi Hong,

Hong Yu,

Yuchen Lu

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(6), P. 9495 - 9511

Published: Jan. 8, 2024

Language: Английский

Citations

6