Accounting for Land Use Carbon Emissions Considering Differences in Wetland Types to Support the Achievement of SDG 13.2.2 DOI Open Access
Yuxun Zhang, Wenpeng Lin,

Yunchun Ye

et al.

Land Degradation and Development, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

ABSTRACT In recent years, the relentless rise in global greenhouse gas (GHG) emissions has escalated climate change. Land‐use changes, particularly those involving wetlands, significantly impact GHG emissions. However, previous studies on land‐use carbon often overlooked specific contributions of different wetland types. This study aims to assess these differential and explore strategies for managing (SDG 13.2.2) within United Nation's sustainable development goals. The used Demonstration Zone Green Integrated Ecological Development Yangtze River Delta (demonstration area) China as a case accurately classify types from 2016 2022. Wetland classification was achieved using Sentinel‐2 remote sensing imagery parameters such NDVI NDWI with application machine learning algorithms. To effective management strategies, scenario analysis method employed simulate future emission trends under various measures based current status. results revealed significant differences among From 2022, ponds exhibited highest total growth rate all types, while paddy fields alone showed decreasing trend. Through enhanced natural protection, optimized management, reduced use chemical fertilizers pesticides, direct demonstration area were by 2.61 × 10 5 t. Accurate differentiated are crucial accounting formulating reduction strategies. offers new insights into Delta.

Language: Английский

Spatiotemporal evolution characteristics, influencing factors of land use carbon emissions, and low-carbon development in Hubei Province, China DOI Creative Commons

Mengjiao Fan,

Zhanqi Wang,

Zhibin Xue

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102567 - 102567

Published: March 20, 2024

Against the backdrop of global warming, carbon emissions have become a major concern. Carbon from land use (CELU) play significant role in shaping efforts to reduce and achieve neutrality. Using China Land Cover Dataset (CLCD) alongside socioeconomic data, we conducted comprehensive CELU calculations for Hubei Province. Our approach involves integrating Markov time transfer matrix delineate spatiotemporal evolution characteristics CELU, employing Tapio elastic adaptation model analyze decoupling economic development, leveraging geographic detectors identify primary influencing factors their interactions, both internally externally. Subsequently, formulated recommendations low-carbon development response our findings. The key results are as follows. (1) Between 1995 2019, total Province exhibited consistent increase, characterized by an initial acceleration growth followed gradual slowdown. (2) During same period, witnessed multiple types decoupling, with weak emerging prevailing trend. (3) explanatory power (q-values) internal external ranged 0.179 0.935. Moreover, interaction these exceeded 0.5, indicating overall effect. This study presents strategy that offers robust scientific basis government policymakers craft emission reduction strategies. Additionally, it serves valuable reference fostering long-term high-quality development.

Language: Английский

Citations

23
Coupling coordination degree analysis and spatiotemporal heterogeneity between water ecosystem service value and water system in Yellow River Basin cities DOI Creative Commons

Donghai Yuan,

Manrui Du,

Chenling Yan

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 79, P. 102440 - 102440

Published: Dec. 18, 2023

Accelerated urbanization has caused encroachment on urban water ecological land in China's Yellow River basin, resulting a strong disturbance of ecosystem service functions and increasingly serious environmental problems. In this study, two entities—water value (WESV) the system—are identified, to investigate interactions between WESV systems their subsystems six basin cities (Lanzhou, Yinchuan, Hohhot, Xi'an, Zhengzhou, Jinan) from 2005 2020. First, integrated level system each city is calculated using modified developed method equivalence factor per unit area entropy method, respectively. Then, coupling coordination relationship are revealed by degree model (CCDM) Geographically Temporally Weighted Regression (GTWR). The results show that: 1) both basically shows an increasing trend, hydrological regulation function dominates functions, comprehensive evaluation environment generally higher than that other system's subsystems. 2) gradually rose extreme incoordination coordination, (CCD) resources also obvious upward but CCD safety developing more slowly. 3) where have greater positive impacts primarily focused Lanzhou while negative mainly located Yinchuan Zhengzhou. summary, planning decision-making or cities, it critical promote protection ecology high-quality development clearly understanding interaction services system, coordinating balancing systems.

Language: Английский

Citations

32
A new model based on coupling coordination analysis incorporates the development rate for urbanization and ecosystem services assessment: A case of the Yangtze River Delta DOI Creative Commons
Zhijie Yang,

Jingxuan Hu,

Zi-An Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111596 - 111596

Published: Jan. 25, 2024

Understanding the dynamic relationship between ecosystem service supply and urbanization demand, identifying underlying influencing mechanisms are crucial for sustainable development in global process. However, current studies mainly focused on coupling coordination of situation, rather than system. Thus, we introduced concept degree (DCCD) to address research gap. This study calculated rates composite index (ESSCI) demand (UDDCI) from 2000 2020 construct DCCD model case Yangtze River Delta region. Subsequently, analysed inherent causing regional differences DCCD. Our results indicated that (1) ESSCI UDDCI showed spatiotemporal heterogeneity, rate had significant north south, decreased east west. (2) In 2020, notable existed northern southern region, with zone being lower. The situation improved 2005 2015. (3) Global habitat quality a impact coordination. north, annual water yield significantly influenced coordination, while carbon sequestration it. These factors related land use. We into old achieve goals.

Language: Английский

Citations

12
Decoupling relationship between urban land use morphology and carbon emissions: Evidence from the Yangtze River Delta Region, China DOI Creative Commons

Pengjin Huang,

Yi Qu, Bangrong Shu

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102614 - 102614

Published: April 27, 2024

Language: Английский

Citations

9
Impact of urban land development on carbon emission performance based on a multidimensional framework DOI
Xinhui Feng,

Xinle Lin,

Yan Li

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 105, P. 107429 - 107429

Published: Jan. 23, 2024

Language: Английский

Citations

8
Fine allocation of sectoral carbon emissions at block scale and contribution of functional zones DOI
Xinyue Ma, Jun Yang, Dongqi Sun

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 78, P. 102293 - 102293

Published: Sept. 17, 2023

Language: Английский

Citations

16
Solidarity or self-interest? Carbon footprint pressure measurement and spatial correlation in the Yangtze River Delta region DOI
Ran Qiu, Liying Yu

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 441, P. 140919 - 140919

Published: Jan. 30, 2024

Language: Английский

Citations

5
Spatial association network of carbon emission performance: Formation mechanism and structural characteristics DOI
Xinhui Feng,

Xinle Lin,

Yan Li

et al.

Socio-Economic Planning Sciences, Journal Year: 2023, Volume and Issue: 91, P. 101792 - 101792

Published: Dec. 21, 2023

Language: Английский

Citations

10
Spatial variation of land use carbon budget and zoning for carbon compensation in the Huai River Eco-economic Belt, China DOI Creative Commons

Hongwen Xu,

Xie Tao,

Yan Lü

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 25, 2025

Language: Английский

Citations

0
Do Factor Misallocations Affect Food Security? Evidence from China DOI Creative Commons

Tuanbiao Jiang,

Min Zhong,

Anrong Gao

et al.

Agriculture, Journal Year: 2024, Volume and Issue: 14(5), P. 729 - 729

Published: May 8, 2024

The reasonable allocation of grain production factors is vital importance to food security and agricultural development. To assess the impact factor misallocation on security, this paper, based panel data from China spanning 2005 2019, conducted a comprehensive evaluation coefficients across 31 provinces in China, using spatial Durbin model examine effects misallocations security. findings are as follows: (1) Production has significant negative impacts among them, capital labor inhibiting local neighboring areas, land while its spillover effect no longer significant. (2) Mechanism analysis shows that hinder development transportation infrastructure transfer rural labor, thereby reducing Land accelerated construction infrastructure, promoted migration helped ensure (3) regional heterogeneity test reveals major grain-producing areas both sides Hu Huanyong Line (Hu Line). Meanwhile, hinders various well southeast Line. Based above conclusions, paper proposes suggestions improve efficiency resource allocation, accelerate encourage speed surplus labor.

Language: Английский

Citations

3