Inequality repercussions of roads on the coupling relationships between carbon supply and demand DOI

Guanmin Liang,

Miaomiao Liu,

Minggao Liu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144494 - 144494

Published: Dec. 1, 2024

Language: Английский

Spatiotemporal pattern of NPP and its response to climatic factors in the Yangtze River Economic Belt DOI Creative Commons

Lu Jia,

Kunxia Yu,

Zhanbin Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 162, P. 112017 - 112017

Published: April 10, 2024

Net primary productivity (NPP) of terrestrial ecosystems serves as a crucial carbon sink, playing significant role in mitigating climate change. This study, focusing on the Yangtze River Economic Belt (YREB), key area for both economic development and ecological conservation China, evaluates temporal spatial changes regional NPP its responses to climatic factors against backdrop global Utilizing long-term meteorological grid data from 1981 2017, we analyzed annual change patterns linear nonlinear using copula functions. Our findings indicate that 57.00 % YREB has experienced increase NPP, with most substantial decreases observed Shanghai surrounding areas (P < 0.05). Temperature emerged driver, positively correlating over half study Moreover, response temperature precipitation underscores complex interactions between these factors, revealing sensitivity variations surpasses precipitation. The also highlights influence solar radiation topographic positive correlation 15.85 practical significance lies their implications management resilience strategies. potential targeted optimize sequestration across YREB. Furthermore, identified topography influencing offer valuable insights formulation adaptive strategies enhance ecosystem contribute achieving neutrality goals. By elucidating dynamics range environmental this provides foundation informed decision-making mitigation efforts within similar regions globally.

Language: Английский

Citations

13

Has the Digital Economy Improved the Urban Land Green Use Efficiency? Evidence from the National Big Data Comprehensive Pilot Zone Policy DOI Creative Commons

Guangya Zhou,

Helian Xu,

Chuanzeng Jiang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 960 - 960

Published: June 30, 2024

The advancement of the big data industry is playing a pivotal role in urban land management refinement. Recently, China initiated strategy, establishing national comprehensive pilot zones (NBDCPZs) across diverse regions. These initiatives present substantial opportunities for enhancing green use efficiency (ULGUE). Consequently, this study, we utilized super-efficiency slack-based measure (SBM) model with undesirable outputs to assess ULGUEs 281 prefecture-level cities from 2006 2021. Subsequently, leveraging NBDCPZ establishment as quasi-natural experiment, employed difference-in-differences (DID) method empirically explore impact policy on ULGUE first time. findings revealed following: (1) implementation significantly enhances ULGUE; (2) effects are mediated through mechanisms such fostering technological innovation, mitigating resource misallocation, and promoting industrial agglomeration; (3) heterogeneity analysis emphasizes increased effectiveness characterized by fewer natural resources, lower economic growth pressures, stable development stages, moderate digital infrastructure human capital levels; (4) further demonstrates significant positive spillover neighboring non-pilot cities, diminishing proximity between decreases. Overall, study contributes literature relationship economy utilization, offering valuable insights achieving sustainable development.

Language: Английский

Citations

8

Impact of new-type urbanization pilot policy on public service provision: Evidence from China DOI
Chunlai Yuan, Zhang Bo,

Jingru Xu

et al.

Cities, Journal Year: 2025, Volume and Issue: 161, P. 105853 - 105853

Published: March 4, 2025

Language: Английский

Citations

0

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 DOI Creative Commons

Liangzhao Chen,

Peng Tang, Jinhua Li

et al.

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

Citations

0

Carbon effects of land use transitions: a process-mechanism-future perspective DOI

Hongmei Hua,

Xiaoyang Chen,

Xuyang Zhang

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: April 3, 2025

Language: Английский

Citations

0

Spatio-Temporal Variations and Drivers of Carbon Storage in the Tibetan Plateau under SSP-RCP Scenarios Based on the PLUS-InVEST-GeoDetector Model DOI Open Access
Xiaodong Huang, Xiaoqian Liu, Ying Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5711 - 5711

Published: July 4, 2024

Enhancing carbon storage in terrestrial ecosystems has become a key strategy for mitigating climate change. The Tibetan Plateau holds pivotal position achieving neutrality, with the structural pattern of its land use types directly impacting region’s ecosystem capacity. However, there is still lack understanding spatial distribution their ecosystems. This study targeted Plateau, utilizing data from 2000 to 2020, and employed Patch-generating Land Use Simulation (PLUS) model project patterns 2030. By integrating future change projections, this forecasted under SSP1-2.6, SSP2-4.5, SSP5-8.5 scenarios. Integrated Valuation Ecosystem Services Tradeoffs (InVEST) was quantify 2030, while GeoDetector used explore driving influences factors such as Normalized Difference Vegetation Index (NDVI), Water (NDWI), Leaf Area (LAI), Net Primary Productivity (NPP), population density, road network density on storage. results revealed that: (1) Grassland predominated most having stability over 70%, whereas significant changes were observed western Tibet Autonomous Region southern Xinjiang Uygur Region. (2) Carbon generally followed tendency towards an initial decrease by increase, average annual reduction 50,107,371.79 Mg. SSP1-2.6 scenario demonstrated substantial increase storage, being 18 times natural trend, indicated largest decrease. (3) Over two decades, NDVI emerged influential driver which maintained at around 0.4, interaction between NDWI exerting strongest force, 0.45. conversion forestland grassland primary factor accounting Based these results, despite absence empirical data, could be regarded reference pathway Plateau. Solely focusing enhancing converting low-carbon uses high-carbon misguided; sustainable development represents optimal approach augmenting

Language: Английский

Citations

3

Study on the Dynamic Change of Land Use in Megacities and Its Impact on Ecosystem Services and Modeling Prediction DOI Open Access
Xinyu Yan, Muyi Huang,

Yuru Tang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5364 - 5364

Published: June 24, 2024

Under the background of rapid urbanization, strengthening research on response and dynamic mechanism ecosystem services to land use is conducive optimization space ecological restoration governance in megacities. Using Hefei City as a case study, we examined specific analyzed how water yield, habitat quality, carbon storage, soil conservation changed over time from 2000 2020. We utilized spatial information technology InVEST model assess these changes. Additionally, developed comprehensive service index (CES) used Geodetector regression models investigate responded use. In addition, Patch-generating Land Use Simulation Model (PLUS) simulate distribution 2030. This was performed under four different scenarios: natural development (ND), urban (UD), cultivated protection (CP), (EP). Furthermore, assessed effects land-use changes functions by integrating PLUS results with InVEST. The findings indicate following: (1) between 2020, farmland consistently remained dominant type while construction experienced significant growth. Land-use conversion prevalent during this period, each indicator exhibited noticeable geographic variation; (2) past 20 years, clear clustering patterns. types showed quantitative relationships CES. Specifically, land, forest grassland, area had positive correlations, negative correlation. analysis revealed that proportion greatest impact differentiation CES, followed population density; (3) according simulation, UD scenario grassland into leading decrease ND scenario, areas decreasing CES are mostly have been converted other land. contrast, EP shows an increase which promotes enhancement multiple simultaneously. indicates most favorable for sustainable development. study investigates evaluates sustainability regional both theoretical practical significance effectively managing regulating large cities.

Language: Английский

Citations

2

Multi-scale matching and simulating flows of ecosystem service supply and demand in the Wuhan metropolitan area, China DOI
Ying Chen, Yina Lu, Ruolin Meng

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 143648 - 143648

Published: Sept. 1, 2024

Language: Английский

Citations

2

Evaluation and analysis of carbon neutralization capacity in the Yangtze River Economic Belt: Based on time weighted-rough set and unascertained model DOI Creative Commons
Shaohua Wang, Jinglei Xu, Wei Zhang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111911 - 111911

Published: March 1, 2024

The carbon neutralization process continues to be a significant concern in China, particularly the Yangtze River Economic Belt. This study defines neutrality and presents regional capacity measurement index system that includes 12 indicators across four dimensions: production reduction, lifestyle ecological removal, technological removal. To assess relative absolute levels of Belt, uses time-weighted rough set theory uncertain model. Additionally, also Kernel density estimation, Dagum Gini coefficient decomposition, convergence analysis examine development differences region. findings indicate from 2013 2021, Belt exhibited an upward trend with fluctuations, there were disparities between upper, middle, lower reaches However, these showed signs general trend. Moreover, reduction aspects region are currently at moderate level, while is still considerable room for improvement terms reduction. Furthermore, obvious neutral region: upstream primarily driven by emissions middle downstream Consequently, it crucial consider characteristics implement targeted strategies tailored local conditions.

Language: Английский

Citations

1

Regional differences, distributional dynamics and convergence of multidimensional food security levels in China DOI Creative Commons
Jing Cheng,

Xiaobin Yu

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(8), P. e0309071 - e0309071

Published: Aug. 16, 2024

Food security is one of the important issues in current world development process. The article takes 31 provinces (districts and cities) China as research object constructs a multidimensional food level evaluation index system from four dimensions: quantitative security, nutritional ecological capacity security. Using entropy method, China’s was calculated for ten-year period 2013 to 2022. Overall, showed an upward trend during decade, with Shandong, Heilongjiang, Henan having highest distribution dynamics its spatiotemporal evolution seven regions were examined using Dagum Gini coefficient decomposition, absolute conditional convergence different areas verified. results study show that within East have largest gap levels between them, there β-convergence. Looking at whole, characterized by significant convergence, which means low will faster rate growth than those high resulting gradual narrowing provinces.

Language: Английский

Citations

1