草原
固碳
环境科学
生态系统
碳足迹
土壤碳
碳纤维
温室气体
农林复合经营
生态学
土壤科学
二氧化碳
土壤水分
计算机科学
复合数
生物
算法
作者
Lu Yu,Shiliang Liu,Fangfang Wang,Hua Liu,Yixuan Liu,Qingbo Wang,Yifei Zhao
摘要
Abstract Investigating the cost‐effective and low‐carbon pathways for grassland ecological restoration projects is vital to achieving carbon neutrality and Sustainable Development Goals. To fill the gap of incorporating ecological and socioeconomic systems of ecological restoration projects, this study established a cost‐benefit evaluation framework that integrated the carbon footprint based on life cycle assessment and a carbon price measurement model based on the Slack‐Based Measure‐Data Envelopment Analysis model. Taking a ‘Returning Grazing Land to Grassland Project’ on the Qinghai‐Tibet Plateau as a case, this study quantified the carbon footprint of three different ecological measurements, including fences construction (released 107 kgCO 2 ‐eq·hm −2 and absorbed 322 kgCO 2 ‐eq·hm −2 ), degenerated grassland improvement (released 1080 kgCO 2 ‐eq·hm −2 and absorbed 580 kgCO 2 ‐eq·hm −2 ) and artificial grassland planting (released 2540 kgCO 2 ‐eq·hm −2 and absorbed 6540 kgCO 2 ‐eq·hm −2 ). Raw material production was the largest emitter. In addition, we calculated the carbon price in the grassland ecosystem by the carbon price measurement model, at 1.06 yuan·kgCO 2 ‐eq −1 on average during 2011–2018. In the cost‐benefit analysis, the total carbon sequestration benefits (8.90 × 10 6 yuan) outweighed the total carbon emission costs (4.26 × 10 6 yuan). Optimizing the usage and transportation of building materials and the application of fertilizer can benefit carbon emission mitigation and enhancement of carbon sequestration capacity in grassland. This study provided a theoretical basis for ecological restoration projects and grassland carbon pricing mechanisms aiming for sustainable management.
科研通智能强力驱动
Strongly Powered by AbleSci AI