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

Enhancing sustainable livelihoods in the Three Rivers Headwater Region: A geospatial and obstacles context DOI Creative Commons
Tong Li, R. K. Singh, Rajiv Pandey

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 156, P. 111134 - 111134

Published: Nov. 2, 2023

Applying novel approaches to assess the sustainable livelihood potentially contribute learning and managing social-ecological systems. This research demonstrates trajectory of livelihoods in Three Rivers Headwater Region (TRHR) Western China for a period 2003 2017, utilizing bespoke Sustainable Livelihood Index (SLI). Devised through top-down data collation method, SLI integrates comprehensive official statistics, encompassing socio-economic metrics alongside climatic other environmental conditions. We employed spatial visualization cold hotspot analysis discern spatio-temporal nuances SLI. Furthermore, Obstacle Factor Analysis (OFA) was implemented identify salient barriers impacting Results indicated steady rise over examined period, indicating progressive enhancements sustainability. However, marked disparities were observed across TRHR counties, reflecting heterogeneity socioeconomic progress resource allocation. While Yushu county displayed commendable growth, Jiuzhi stood out as significant spot. Notably, natural financial resources surfaced paramount stresses progression, emphasizing necessity robust management economic support. Key challenges, such grassland carrying pressure index, deteriorated territories, per capita disposable income identified critical obstacles pastoral communities. These factors collectively influence viability, stewardship, human capital development, which are intertwined with local gains future potentials. In nutshell, this study highlights multifaceted challenges faced by charting pathways champions recalibrated policies protect assets, amplify support, reinforce capital, nurture regional synergies evolution. The key insights suggest pressing need innovative, nature-based solutions that regional-scale resilience, especially considering related development.

Language: Английский

Citations

8
Development of Ridge Ensemble Standardized Drought Index (RESDI) for improving drought characterization and future assessment DOI

Mahrukh Yousaf,

Abdul Baseer,

Zulfıqar Ali

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(7)

Published: June 13, 2024

Language: Английский

Citations

1
Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China DOI Open Access
Fanchao Kong,

Kaixiao Zhang,

Hengshu Fu

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(16), P. 12182 - 12182

Published: Aug. 9, 2023

Achieving synergistic development of efficient urban land use and the natural environment is crucial in promoting green urbanization. The assessment eco-efficiency (LUEE) its temporal–spatial changes provides an effective means quantifying relationship between ecological use. Targeting 55 selected cities Yellow River Basin (YRB), this study, we utilize Super-EBM method to gauge LUEE. We explore temporal patterns spatial convergence LUEE utilizing kernel density estimation econometric methods. Considering resource environmental costs use, assumed industrial pollutant emissions generated during as undesired outputs designed a framework for measuring level under double constraints, which theoretically revealed formation process mechanism results show following: (1) Throughout sample period, YRB agglomeration decreased from 0.158 2009 0.094 2020, indicating decreasing disparity over time. Notably, Lanxi cluster exhibited largest gap LUEE, whereas Guanzhong Plain displayed smallest gap. hyper-variable exceeded inter-group main factor leading difference (2) Although agglomerations has increased, there still exists noticeable polarization phenomenon. (3) demonstrates pattern conditional exerts significant spillover effect. Over time, will tend towards individual steady state. findings have implications strengthening linkage synergy among YRB, integration across administrative regions, formulating heterogeneous policies.

Language: Английский

Citations

2
Spatiotemporal dynamics and influencing factors of carbon productivity in counties of Shandong Province, China DOI
Yujie Liu, Yanbin Chen, Yiming Hou

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 30(53), P. 114420 - 114437

Published: Oct. 20, 2023

Language: Английский

Citations

2
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

Citations

0