Multi-Scenario land cover changes and carbon emissions prediction for peak carbon emissions in the Yellow River Basin, China

被引:3
|
作者
Niu, Haipeng [1 ,2 ]
Chen, Si [1 ]
Xiao, Dongyang [1 ,3 ]
机构
[1] Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Peoples R China
[2] Xuchang Univ, Coll Geog & Geomat, Xuchang 461000, Peoples R China
[3] Henan Polytech Univ, Res Ctr Arable Land Protect & Urban Rural High Qua, Jiaozuo 454000, Peoples R China
关键词
Yellow River Basin; Carbon emissions from land cover; Multi-scenario simulation; FLUS model; ARIMA model; MODEL; FLUS; CONSUMPTION; GROWTH;
D O I
10.1016/j.ecolind.2024.112794
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Research on future land cover changes and carbon emissions is essential for effective land resource management and developing feasible carbon mitigation strategies. This study focused on the Yellow River Basin and employed the Future Land Use Simulation (FLUS) and Autoregressive Integrated Moving Average (ARIMA) models to project future land cover and carbon emissions. Additionally, bivariate spatial autocorrelation was utilized to analyze the relationship between them. Key findings are as follows: 1) Historically, the Yellow River Basin has experienced an expansion in construction land, forests, grasslands, and water, while cropland and unused land have diminished. Notably, construction land displayed the most significant changes, whereas grasslands showed minimal modification. Looking ahead, both the ecological protection and inertial development scenarios exhibit consistent trends with historical patterns across the land type categories. In contrast, the economic priority development scenario forecasts an increase in construction land, cropland, and grasslands, indicating a distinct shift compared to the other scenarios. However, the ecological protection scenario proves to be more sustainable. 2) In the absence of intervention, the simulated carbon emissions from construction land throughout the basin display a linear increase across various scenarios, with provincial-level variations showing an increase from southwest to northeast. However, Henan and Sichuan are expected to experience slower reductions in carbon emissions, compared to other projections. There is a notable positive correlation between carbon emissions and the comprehensive index, indicating that regions with high emissions typically experience substantial land and economic development. 3) Energy consumption projections for 2030 and 2060 indicate that to align with China's carbon goals, it is essential to reduce energy consumption and adjust the fossil to non-fossil fuel ratio to reduce carbon emissions. Substituting coal with clean energy and enhancing energy efficiency will be more effective for achieving low-carbon emission targets. In summary, this study provides significant guidance for China's ecological conservation, low-carbon emission strategies, and global carbon emission control efforts.
引用
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页数:13
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