Impacts of land use and cover change on carbon storage: Multi-scenario projections in the arid region of Northwest China

Q1 Social Sciences
Xuyu FENG , Xiao ZHAO , Ling TONG , Sufen WANG , Risheng DING , Shaozhong KANG
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Abstract

Carbon storage serves as a key indicator of ecosystem services and plays a vital role in maintaining the global carbon balance. Land use and cover change (LUCC) is one of the primary drivers influencing carbon storage variations in terrestrial ecosystems. Therefore, evaluating the impacts of LUCC on carbon storage is crucial for achieving strategic goals such as the China’s dual carbon goals (including carbon peaking and carbon neutrality). This study focuses on the Aral Irrigation Area in Xinjiang Uygur Autonomous Region, China, to assess the impacts of LUCC on regional carbon storage and their spatiotemporal dynamics. A comprehensive LUCC database from 2000 to 2020 was developed using Landsat satellite imagery and the random forest classification algorithm. The integrated valuation of ecosystem services and trade-offs (InVEST) model was applied to quantify carbon storage and analyze its response to LUCC. Additionally, future LUCC patterns for 2030 were projected under multiple development scenarios using the patch-generating land use simulation (PLUS) model. These future LUCC scenarios were integrated with the InVEST model to simulate carbon storage trends under different land management pathways. Between 2000 and 2020, the dominant land use types in the study area were cropland (area proportion of 35.52%), unused land (34.80%), and orchard land (12.19%). The conversion of unused land and orchard land significantly expanded the area of cropland, which increased by 115,742.55 hm2. During this period, total carbon storage and carbon density increased by 7.87×106 Mg C and 20.19 Mg C/hm2, respectively. The primary driver of this increase was the conversion of unused land into cropland, accounting for 49.28% of the total carbon storage gain. Carbon storage was notably lower along the northeastern and southeastern edges. By 2030, the projected carbon storage is expected to increase by 0.99×106, 1.55×106, and 1.71×106 Mg C under the natural development, cropland protection, and ecological conservation scenarios, respectively. In contrast, under the urban development scenario, carbon storage is projected to decline by 0.40×106 Mg C. In line with China’s dual carbon goals, the ecological conservation scenario emerges as the most effective strategy for enhancing carbon storage. Accordingly, strict enforcement of the cropland red line is recommended. This study provides a valuable scientific foundation for regional ecosystem restoration and sustainable development in arid regions.
西北干旱区土地利用/覆被变化对碳储量的影响:多情景预测
碳储量是生态系统服务的重要指标,在维持全球碳平衡中起着至关重要的作用。土地利用与覆被变化(LUCC)是影响陆地生态系统碳储量变化的主要驱动力之一。因此,评估土地利用/土地覆盖变化对碳储量的影响对于实现中国双重碳目标(包括碳峰值和碳中和)等战略目标至关重要。以新疆咸水灌区为研究对象,探讨了土地利用变化对区域碳储量的影响及其时空动态。利用Landsat卫星影像和随机森林分类算法,建立了2000 - 2020年中国土地利用变化综合数据库。应用生态系统服务与权衡综合评价(InVEST)模型量化碳储量并分析其对土地利用变化的响应。此外,利用斑块生成土地利用模拟(PLUS)模型预测了多种发展情景下2030年未来土地利用变化的格局。将这些未来土地利用/土地覆盖变化情景与InVEST模型相结合,模拟不同土地管理路径下的碳储量趋势。2000 - 2020年,研究区土地利用类型主要为耕地(面积占比35.52%)、未利用地(34.80%)和果园地(12.19%)。未利用地和果园用地的转化显著扩大了耕地面积,增加了115742.55 hm2。在此期间,总碳储量和碳密度分别增加了7.87×106 Mg C和20.19 Mg C/hm2。这一增长的主要驱动力是未利用土地转化为耕地,占总碳储量增量的49.28%。碳储量沿东北和东南边缘明显偏低。到2030年,在自然开发、农田保护和生态保护情景下,预计碳储量将分别增加0.99×106、1.55×106和1.71×106 Mg C。而在城市发展情景下,碳储量预计将下降0.40×106 Mg C.与中国的双碳目标一致,生态保护情景是提高碳储量的最有效策略。因此,建议严格执行耕地红线。该研究为干旱区区域生态系统恢复和可持续发展提供了有价值的科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Regional Sustainability
Regional Sustainability Social Sciences-Urban Studies
CiteScore
3.70
自引率
0.00%
发文量
20
审稿时长
21 weeks
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