Changes in Wuhan’s Carbon Stocks and Their Spatial Distributions in 2050 under Multiple Projection Scenarios DOI Open Access
Yujie Zhang, Xiaoyu Wang, Lei Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6684 - 6684

Published: Aug. 5, 2024

Urbanization in the 21st century has reshaped carbon stock distributions through expansion of cities. By using PLUS and InVEST models, this study predicts land use stocks Wuhan 2050 three future scenarios. Employing local Moran’s I, we analyze clustering under these scenarios, Getis–Ord Gi* statistic identifies regions with significantly higher lower carbon-stock changes between 2020 2050. The results reveal a 2.5 Tg decline Wuhan’s from 2000 to 2020, concentrated central outer city areas along Yangtze River. 2050, ecological conservation scenario produced highest prediction, 77.48 Tg, while economic development lowest, 76.4 Tg. High-carbon stock-change cluster north south, contrasting low-change area concentrations center. This research provides practical insights that support sustainable neutrality goals.

Language: Английский

Land Use and Carbon Storage Evolution Under Multiple Scenarios: A Spatiotemporal Analysis of Beijing Using the PLUS-InVEST Model DOI Open Access

Jiaqi Kang,

Linlin Zhang, Qingyan Meng

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1589 - 1589

Published: Feb. 14, 2025

The carbon stock in terrestrial ecosystems is closely linked to changes land use. Understanding how use alterations affect regional stocks essential for maintaining the balance of ecosystems. This research leverages and driving factor data spanning from 2000 2020, utilizing Patch-generating Land Use Simulation (PLUS) model alongside InVEST ecosystem services examine temporal spatial storage across Beijing. Additionally, four future scenes 2030—urban development, natural cropland protection, as well eco-protection—are explored, with PLUS models employed emulate dynamic corresponding variations. results show that following: (1) Between resulted a significant decline storage, total reduction 1.04 × 107 tons. (2) From agricultural, forest, grassland areas Beijing all declined varying extents, while built-up expanded by 1292.04 km2 (7.88%), minimal observed water bodies or barren lands. (3) Compared distribution 2030 urban development scenario decreased 6.99 106 tons, highlighting impact rapid urbanization expansion on storage. (4) In ecological protection scenario, optimization structure an increase 6.01 105 tons indicating allocation this contributes restoration enhances sink capacity ecosystem. study provides valuable insights policymakers optimizing perspective offers guidance achievement “dual carbon” strategic objectives.

Language: Английский

Citations

2
A Simulation-Based Prediction of Land Use Change Impacts on Carbon Storage from a Regional Imbalance Perspective: A Case Study of Hunan Province, China DOI Creative Commons
Jingyi Zhang,

Hanqi Ding,

Jingkun Xu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1721 - 1721

Published: Oct. 20, 2024

Land use imbalances are a critical driving factor contributing to regional disparities in carbon storage (CS). As significant component of China’s Yangtze River Economic Belt, Hunan Province has undergone substantial shifts land types, resulting an uneven distribution ecosystem CS and sequestration capacity. Therefore, within the framework “dual carbon” strategy, examining effects changes driven by resource on holds practical importance for advancing sustainable development. This study focuses Province, utilizing PLUS-InVEST model assess spatiotemporal evolution under from 1990 2020. Additionally, multiple scenario-based development modes were employed predict county-level CS. The results indicate following: (1) From 2020, experienced continuous urban expansion, with forest cultivated land, which core ecological being converted into construction land. (2) Over these 30 years, province’s total increased 2.47 × 108 t, spatial differentiation. High-value zones concentrated bands along borders, while lower values observed central northern regions. highest recorded forested areas at periphery, whereas lowest water bodies. (3) predictions revealed notable differences, protection scenario demonstrating sink effect. By prioritizing could be maximized. research provides valuable insights enhancing optimizing structures regions facing imbalances.

Language: Английский

Citations

3
Carbon Storage Simulation and Land Use Optimization for High-Water-Table Resource-Based Cities Based on the Coupled GMOP-PLUS-InVEST Model DOI Creative Commons
Zhen Wang,

Anya Zhong,

Erhu Wei

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4480 - 4480

Published: Nov. 29, 2024

Exploring land use evolution and its impact on carbon storage is crucial for mitigating climate change in resource-based cities promoting green, low-carbon development. This study constructs a GMOP-PLUS-InVEST coupled model utilizes remote sensing data from five phases of 2000 to 2020. Four scenarios are established simulate the future patterns changes Jining City. The results indicate that: (1) 2020, farmland, forest land, grassland City show declining trend; while construction waters increase, resulting reduction 167.35 × 10⁶ t 159.85 2020; (2) coal mining significantly influences nearby utilization types storage, leading decline reserves; (3) compared other three scenarios, coordinated development scenario exhibits higher efficiency with lower levels human disturbance; balancing local economy environment, serving as sustainable pattern area. outcomes this paper quantitatively reflect relationship between use, mining, high-water-level cities; providing guidance economy, urban development, ecological environment protection.

Language: Английский

Citations

2
Use of an Ecological Compensation Model in Water Resource Development: A Case Study from Shaanxi Province, China DOI Open Access
Longxing Chen, Ping Han,

Gaopan Zhang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(19), P. 2851 - 2851

Published: Oct. 8, 2024

This study aims to analyze the current situation of water resource management in Shaanxi Province, basic principles ecological compensation, evaluate impact conservation projects on environment by establishing a model, and propose sustainable model. Hanzhong City has certain typicality representativeness within problems it faces may represent entire province or similar regions. At same time, rich data research foundations. Therefore, conducting detailed analysis status area are revealed, compensation intensely studied. The original plan Province been summarized. Guided concept development, an model is established using algorithms, applied management. Establish for through collection, preprocessing, cleaning, apply practical cases City. Through simulation City, new effectively mitigates adverse effects while improving utilization efficiency. changes various environmental parameters indicate that improved environment. application formulated achieved protection promoting economic development. proposes comprehensive verifies cases, demonstrating not only good applicability but also significant growth protection.

Language: Английский

Citations

0
Changes in Wuhan’s Carbon Stocks and Their Spatial Distributions in 2050 under Multiple Projection Scenarios DOI Open Access
Yujie Zhang, Xiaoyu Wang, Lei Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(15), P. 6684 - 6684

Published: Aug. 5, 2024

Urbanization in the 21st century has reshaped carbon stock distributions through expansion of cities. By using PLUS and InVEST models, this study predicts land use stocks Wuhan 2050 three future scenarios. Employing local Moran’s I, we analyze clustering under these scenarios, Getis–Ord Gi* statistic identifies regions with significantly higher lower carbon-stock changes between 2020 2050. The results reveal a 2.5 Tg decline Wuhan’s from 2000 to 2020, concentrated central outer city areas along Yangtze River. 2050, ecological conservation scenario produced highest prediction, 77.48 Tg, while economic development lowest, 76.4 Tg. High-carbon stock-change cluster north south, contrasting low-change area concentrations center. This research provides practical insights that support sustainable neutrality goals.

Language: Английский

Citations

0