The impact of the Grain-for-Green Programme on carbon storage in the Upper Yangtze River Basin based on the PLUS-InVEST model.

IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Minghong Peng, Ye Yang, Yuanjie Deng, Dingdi Jize, Hang Chen, Yifeng Hai, Guojie Liu, Haijun Wang, Tianhui Xie, Hu Li, Ji Luo
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引用次数: 0

Abstract

Alterations in land use and land cover (LUCC) play a fundamental role in influencing the variability of ecosystem carbon storage. Evaluating how land use dynamics affect carbon sequestration and projecting future carbon storage scenarios are essential steps toward meeting China's dual carbon objectives. In this study, we integrated the Patch-generating Land Use Simulation (PLUS) model with the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) framework to investigate LUCC dynamics and their implications for carbon storage across the Upper Yangtze River Basin (UYRB) between 2000 and 2020. Furthermore, projections of regional carbon storage were made under multiple Grain-for-Green Programme (GFGP) scenarios extending to the year 2040. Our findings indicated that cultivated land (CL), forest land (FL), and grassland (GL) consistently dominated land use composition within the UYRB, collectively occupying approximately 96.45% of the total area throughout 2000-2020. During this period, construction land (CSL) steadily expanded, primarily at the expense of CL. Both CL and GL experienced substantial reductions. Spatially, carbon storage exhibited a decreasing gradient from east to west, with the Jinsha River Basin exhibiting the greatest levels. Carbon storage values over the two decades were recorded at 6.387 × 10¹⁰ t in 2000, 6.382 × 10¹⁰ t in 2005, 6.379 × 10¹⁰ t in 2010, 6.369 × 10¹⁰ t in 2015, and 6.373 × 10¹⁰ t in 2020. Despite a slight recovery between 2015 and 2020, total carbon storage fell by 0.23% (1.438 × 108 t) overall. This decline was primarily driven by the conversion of high-carbon-density CL and FL into low-carbon-density CSL and GL. Future projections show distinct disparities across four policy scenarios by 2040. Under the Natural Development Scenario (NDS), rapid economic growth and land conversion are projected to result in a carbon storage loss of 1.324 × 108 t. Conversely, the mild, moderate, and strong GFGPS anticipate carbon storage increases of 1.385 × 10⁸ t, 3.157 × 10⁸ t, and 5.136 × 10⁸ t, respectively. The Jialing River Basin shows the highest gains under all GFGPS. Our findings underscore the significance of the GFGP in enhancing regional carbon sequestration, primarily through encouraging afforestation of previously CL and GL and curbing the expansion of CSL. Such insights can guide land-use planning and ecological conservation strategies in the UYRB moving forward.

基于PLUS-InVEST模型的退耕还林工程对长江上游流域碳储量的影响
土地利用和土地覆盖变化是影响生态系统碳储量变化的重要因素。评估土地利用动态如何影响碳固存和预测未来碳储存情景是实现中国双重碳目标的重要步骤。本研究将斑块生成土地利用模拟(PLUS)模型与生态系统服务与权衡综合评估(InVEST)框架相结合,研究2000 - 2020年长江上游流域土地利用变化动态及其对碳储量的影响。此外,还对区域碳储存量进行了到2040年的多种“粮食换绿色计划”情景下的预测。研究结果表明,2000-2020年,新疆维吾尔自治区耕地、林地和草地在土地利用构成中一直占主导地位,占总面积的96.45%左右。在此期间,建设用地(CSL)稳步扩大,主要是以牺牲土地为代价。CL和GL均有显著降低。从空间上看,碳储量从东到西呈递减趋势,以金沙江流域最高。二十年来的碳储存值记录为2000年的6.387 × 10¹⁰t, 2005年的6.382 × 10¹⁰t, 2010年的6.379 × 10¹⁰t, 2015年的6.369 × 10¹⁰t, 2020年的6.373 × 10¹⁰t。尽管在2015年至2020年期间略有回升,但总碳储量总体下降了0.23% (1.438 × 108 t)。这种下降主要是由高碳密度的低碳密度的陆地和陆地向低碳密度的陆地和陆地的转变所驱动的。在自然发展情景(NDS)下,快速的经济增长和土地转换预计将导致碳储量损失1.324 × 108 t。相反,轻度、中度和强GFGPS预计碳储量分别增加1.385 × 10⁸t、3.157 × 10⁸t和5.136 × 10⁸t。嘉陵江流域在所有GFGPS中收益最高。我们的研究结果强调了GFGP在加强区域碳固存方面的重要性,主要是通过鼓励造林以前的CL和GL,并抑制CSL的扩张。这些见解可以指导维吾尔自治区未来的土地利用规划和生态保护战略。
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来源期刊
Carbon Balance and Management
Carbon Balance and Management Environmental Science-Management, Monitoring, Policy and Law
CiteScore
7.60
自引率
0.00%
发文量
17
审稿时长
14 weeks
期刊介绍: Carbon Balance and Management is an open access, peer-reviewed online journal that encompasses all aspects of research aimed at developing a comprehensive policy relevant to the understanding of the global carbon cycle. The global carbon cycle involves important couplings between climate, atmospheric CO2 and the terrestrial and oceanic biospheres. The current transformation of the carbon cycle due to changes in climate and atmospheric composition is widely recognized as potentially dangerous for the biosphere and for the well-being of humankind, and therefore monitoring, understanding and predicting the evolution of the carbon cycle in the context of the whole biosphere (both terrestrial and marine) is a challenge to the scientific community. This demands interdisciplinary research and new approaches for studying geographical and temporal distributions of carbon pools and fluxes, control and feedback mechanisms of the carbon-climate system, points of intervention and windows of opportunity for managing the carbon-climate-human system. Carbon Balance and Management is a medium for researchers in the field to convey the results of their research across disciplinary boundaries. Through this dissemination of research, the journal aims to support the work of the Intergovernmental Panel for Climate Change (IPCC) and to provide governmental and non-governmental organizations with instantaneous access to continually emerging knowledge, including paradigm shifts and consensual views.
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