• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[流域尺度下碳储量演变对未来气候和政策的响应]

[Response of Carbon Storage Evolution to Future Climate and Policy at the Basin Scale].

作者信息

Wang Hui, Wang Ling-Xia, Li Zhong-Wu, Hou Ying-Long, Nie Xiao-Dong

机构信息

Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, College of Environmental Science and Engineering, Hunan University, Changsha 410082, China.

Hunan Provincial Key Laboratory for Eco-environmental Changes and Carbon Sequestration of the Dongting Lake Basin, School of Geographic Sciences, Hunan Normal University, Changsha 410081, China.

出版信息

Huan Jing Ke Xue. 2024 Dec 8;45(12):6870-6880. doi: 10.13227/j.hjkx.202312047.

DOI:10.13227/j.hjkx.202312047
PMID:39628152
Abstract

In this study, we explored the impact of land-use changes on carbon sinks in terrestrial ecosystems from a watershed perspective under the backdrop of "carbon peak and neutrality." This will provide robust support for scientific decision-making and the sustainable development of integrated watershed management. Watershed ecosystems encompass natural, social, and economic dimensions and are crucial for improving regional ecological quality and ensuring sustainable development. The Dongting Lake Basin (DLB) is situated at the junction of China's Yangtze River Economic Belt and Coastal Economic Belt, playing an important role in maintaining ecological balance and coordinating economic development. In recent years, rapid economic growth, prolonged agricultural activities, and substantial population pressure have accelerated wetland degradation, the expansion of construction land, and the reduction of ecological land within the basin. Consequently, this has led to a decline in the carbon sequestration capacity of terrestrial ecosystems. This study, utilizing the PLUS model, aims to simulate the spatial dynamics of land use within the DLB across three climate-policy scenarios spanning the temporal domain from 2030 to 2060. Furthermore, employing the IPCC guidelines for national greenhouse gas inventories, the investigation projects the ramifications of prospective land use alterations on the carbon storage (CS) within terrestrial ecosystems in the DLB over the aforementioned timeframe. The outcomes delineated shifts in CS within terrestrial ecosystems under diverse future scenarios. The following key findings were emanated from the analysis: ① During the temporal span from 2020 to 2060, under the auspices of the Natural Development Scenario (NDS), the encroachment of construction land primarily targeted arable land, forests, and grasslands. ② The Economic Co-ordination Scenario (ECS), akin to the NDS, curtailed the diversion of cropland and aquatic resources. ③ Conversely, the Ecological Priority Scenario (EPS) prioritized the transformation of grasslands into forests, ensuring the sustained expansion of wooded areas. Moreover, the estimated CS of the DLB was at 3.6×10 t as of 2020. Projections suggested that under the NDS, the CS was slated to witness a meager increase of 2.3×10 t by 2060. Contrarily, the ECS and EPS anticipated CS increments of 4.5×10 t and 4.7×10 t, respectively. All three scenarios revealed a diminishing trend in carbon sinks over the ensuing four decades, with the NDS experiencing the swiftest decline and the EPS exhibiting a more gradual descent, stabilizing by 2050. The findings suggested that policies centered on ecological conservation could significantly augment carbon sequestration. To sustain these carbon sinks, prospective policies ought to be oriented towards substantial investments in agricultural and grassland land management, coupled with the implementation of progressive afforestation strategies. Additionally, efforts to reduce urban land sprawl and careful planning of development zones are also indispensable measures to reduce the loss of CS. In summation, this study furnishes innovative strategies and policy recommendations, thereby contributing to the discourse on the formulation of optimal land management practices.

摘要

在本研究中,我们在“碳达峰与碳中和”背景下,从流域视角探讨了土地利用变化对陆地生态系统碳汇的影响。这将为科学决策和流域综合管理的可持续发展提供有力支持。流域生态系统涵盖自然、社会和经济层面,对于改善区域生态质量和确保可持续发展至关重要。洞庭湖流域(DLB)位于中国长江经济带与沿海经济带的交汇处,在维护生态平衡和协调经济发展方面发挥着重要作用。近年来,经济快速增长、长期的农业活动以及巨大的人口压力加速了流域内湿地退化、建设用地扩张和生态用地减少。因此,这导致了陆地生态系统碳固存能力的下降。本研究利用PLUS模型,旨在模拟2030年至2060年三个气候政策情景下DLB内土地利用的空间动态。此外,采用IPCC国家温室气体清单指南,该调查预测了上述时间段内预期土地利用变化对DLB陆地生态系统碳储量(CS)的影响。结果描绘了不同未来情景下陆地生态系统CS的变化情况。分析得出以下主要发现:①在2020年至2060年期间,在自然发展情景(NDS)下,建设用地的侵占主要针对耕地、森林和草地。②经济协调情景(ECS)与NDS类似,减少了农田和水资源的转移。③相反,生态优先情景(EPS)优先将草地转变为森林,确保林地持续扩张。此外,截至2020年,DLB的估计CS为3.6×10 t。预测表明,在NDS下,到2060年CS预计仅微增2.3×10 t。相反,ECS和EPS预计CS分别增加4.5×10 t和4.7×10 t。所有三种情景都显示在接下来的四十年中碳汇呈下降趋势,NDS下降最快,EPS下降较为平缓,到2050年趋于稳定。研究结果表明,以生态保护为中心的政策可以显著增加碳固存。为了维持这些碳汇,未来的政策应该侧重于对农业和草地土地管理的大量投资,同时实施渐进的造林策略。此外,减少城市土地扩张和精心规划开发区的努力也是减少CS损失的不可或缺措施。总之,本研究提供了创新策略和政策建议,从而为制定最佳土地管理实践的讨论做出了贡献。

相似文献

1
[Response of Carbon Storage Evolution to Future Climate and Policy at the Basin Scale].[流域尺度下碳储量演变对未来气候和政策的响应]
Huan Jing Ke Xue. 2024 Dec 8;45(12):6870-6880. doi: 10.13227/j.hjkx.202312047.
2
Scenario Simulation of the Relationship between Land-Use Changes and Ecosystem Carbon Storage: A Case Study in Dongting Lake Basin, China.情景模拟土地利用变化与生态系统碳储存的关系:以中国洞庭湖流域为例。
Int J Environ Res Public Health. 2023 Mar 9;20(6):4835. doi: 10.3390/ijerph20064835.
3
Spatiotemporal variation and dynamic simulation of carbon stock based on PLUS and InVEST models in the Li River Basin, China.基于PLUS和InVEST模型的中国漓江流域碳储量时空变化及动态模拟
Sci Rep. 2025 Feb 19;15(1):6060. doi: 10.1038/s41598-025-86226-1.
4
Ecosystem carbon storage assessment and multi-scenario prediction in the Weihe River Basin based on PLUS-InVEST model.基于 PLUS-InVEST 模型的渭河流域生态系统碳储量评估及多情景预测。
Ying Yong Sheng Tai Xue Bao. 2024 Aug;35(8):2044-2054. doi: 10.13287/j.1001-9332.202408.023.
5
[Multi-scenario Simulation of Construction Land Expansion and Its Impact on Ecosystem Carbon Storage in Beijing-Tianjin-Hebei Urban Agglomeration].[京津冀城市群建设用地扩张及其对生态系统碳储量影响的多情景模拟]
Huan Jing Ke Xue. 2024 May 8;45(5):2828-2839. doi: 10.13227/j.hjkx.202305221.
6
[Spatio-temporal Evolution and Prediction of Carbon Storage in the Yangtze River Delta Urban Agglomeration Based on PLUS-InVEST Model].基于PLUS-InVEST模型的长江三角洲城市群碳储量时空演变及预测
Huan Jing Ke Xue. 2025 Apr 8;46(4):1937-1950. doi: 10.13227/j.hjkx.202404046.
7
Land use modeling and carbon storage projections of the Bosten Lake Basin in China from 1990 to 2050 across multiple scenarios.中国博斯腾湖流域1990年至2050年多情景下的土地利用建模与碳储量预测
Sci Rep. 2024 Nov 7;14(1):27136. doi: 10.1038/s41598-024-78693-9.
8
Spatiotemporal dynamics and influencing factors of land carbon stock in Chengdu Plain using an integrated model.基于综合模型的成都平原陆地碳储量时空动态及影响因素研究
Sci Rep. 2025 Apr 2;15(1):11248. doi: 10.1038/s41598-025-95756-7.
9
[Characteristics of Spatial and Temporal Changes in Carbon Stocks in the Middle and Upper Reaches of the Huaihe River Basin and Future Multi-scenario Simulation Prediction].[淮河流域中上游碳储量时空变化特征及未来多情景模拟预测]
Huan Jing Ke Xue. 2024 Oct 8;45(10):5970-5982. doi: 10.13227/j.hjkx.202311034.
10
[Spatiotemporal Variation and Trade-off Synergistic Relationship of Ecosystem Services in Gannan Prefecture].甘南州生态系统服务时空变化及权衡协同关系
Huan Jing Ke Xue. 2025 Apr 8;46(4):2398-2409. doi: 10.13227/j.hjkx.202403255.

引用本文的文献

1
Influence of surface coal mining on carbon storage in semi-arid steppe.露天煤矿开采对半干旱草原碳储存的影响。
Sci Rep. 2025 May 8;15(1):15981. doi: 10.1038/s41598-025-01148-2.