山东农业大学 林学院,山东,泰安,271018
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贾艳艳, 张芳源, 刘新龙. 基于土地利用变化的大汶河流域碳储量评估及其脆弱性分析[J]. 水土保持通报, 2025,45(1):254-263.
Jia Yanyan, Zhang Fangyuan, Liu Xinlong. Assessment and vulnerability analysis of carbon storage in Dawen River basin based on land-use change[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 254-263.
贾艳艳, 张芳源, 刘新龙. 基于土地利用变化的大汶河流域碳储量评估及其脆弱性分析[J]. 水土保持通报, 2025,45(1):254-263. DOI: 10.13961/j.cnki.stbctb.2025.01.027.
Jia Yanyan, Zhang Fangyuan, Liu Xinlong. Assessment and vulnerability analysis of carbon storage in Dawen River basin based on land-use change[J]. Bulletin of Soiland Water Conservation, 2025, 45(1): 254-263. DOI: 10.13961/j.cnki.stbctb.2025.01.027.
[目的
]
探明大汶河流域碳储量对土地利用变化的响应及其脆弱性,为促进流域绿色可持续发展和土地利用优化管控提供科学参考。[方法
]
基于土地利用数据,运用InVEST模型评估2000—2020年大汶河流域碳储量对土地利用转移的响应,并采用潜在影响指数(PI)评估流域生态系统碳储量服务的脆弱性。[结果
]
①2000—2020年,研究区用地结构发生明显变化,主要表现为耕地大量减少(316.44 km
2
),建设用地急剧增加(523.98 km
2
),耕地转变为建设用地是主要的土地转移类型。②2000—2020年,研究区碳储量减少1.09×10
7
t,其中耕地转变为建设用地是碳储量减少的主导因素;碳储量空间分布呈“整体上北高南低、局部区域显著高或显著低”的空间格局。③2000—2020年,研究区土地利用强度指数增加8.12,前10 a和后10 a的潜在影响指数分别为-1.33和-1.42,流域生态系统碳储量服务脆弱性逐渐增强。[结论
]
大汶河流域耕地、草地和林地的减少和建设用地的扩张对该流域碳储量及其脆弱性影响显著,未来应将碳储量作为土地利用规划的重要参考因素,以实现碳储量功能最优权衡。
[Objective] The response and vulnerability of carbon storage to land-use change in the Dawen River basin were analyzed in order to provide a reference for promoting the green and sustainable development of the basin and the land-use optimization management and control. [Methods] Based on land use data
the InVEST model was used to study the impact of land-use change on carbon storage evolution in the Dawen River basin from 2000 to 2020
and the potential impact index (PI) was used to assess the vulnerability of ecosystem carbon storage. [Results] ① During 2000—2020
the land-use structure of the study area changed significantly
with a sharp decline in cultivated land (316.44 km2) and a sharp increase in construction land (523.98 km2). The conversion of cultivated land into construction land was the primary type of land transfer. ② During 2000—2020
the carbon storage decreased by 1.09×107 t
and the transfer of cultivated land to construction land was the leading factor in the decrease. The spatial distribution characteristics of basin carbon storage were “overall higher in the north and lower in the south
and significantly higher or significantly lower in local areas.” ③ During 2000—2020
the land use degree index increased by 8.12. The PI for the first and last 10 years was -1.33 and -1.42
respectively
indicating that the vulnerability of carbon storage services increased. [Conclusion] The reduction in cultivated land
grassland and forest land
and the expansion of construction land in the Dawen River basin have significant effects on carbon storage and its vulnerability. In future
carbon storage should be considered as an important reference factor in land-use planning to achieve an optimal balance of carbon storage functions.
许澳康,胡梦珺,石晶,等.石羊河流域生态系统碳储量时空变化及多情景模拟[J].中国环境科学,2024,44(6):3365-3375. Xu Aokang, Hu Mengjun, Shi Jing, et al. Spatial and temporal variability of ecosystem carbon storages and multi-scenario simulation in the Shiyang River basin [J]. China Environmental Science, 2024,44(6):3365-3375.
Schimel D S, House J I, Hibbard K A, et al. Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems [J]. Nature, 2001,414(6860):169-172.
方精云,于贵瑞,任小波,等.中国陆地生态系统固碳效应: 中国科学院战略性先导科技专项“应对气候变化的碳收支认证及相关问题” 之生态系统固碳任务群研究进展[J].中国科学院院刊,2015,30(6):848-857. Fang Jingyun, Yu Guirui, Ren Xiaobo, et al. Carbon sequestration in China’s terrestrial ecosystems under climate change: Progress on ecosystem carbon sequestration from the CAS strategic priority research program [J]. Bulletin of Chinese Academy of Sciences, 2015,30(6):848-857.
兰健,渠立权.未来10年珠江流域土地利用多情景模拟及碳储量评估[J].水土保持学报,2024,38(3):266-275. Lan Jian, Qu Liquan. Multi-scenario simulation of land use and carbon storage assessment in the Pearl River basin in the next decade [J]. Journal of Soil and Water Conservation, 2024,38(3):266-275.
Contosta A R, Lerman S B, Xiao J F, et al. Biogeochemical and socioeconomic drivers of above-and below-ground carbon stocks in urban residential yards of a small city [J]. Landscape and Urban Planning, 2020,196:103724.
郑慧玲,郑辉峰.基于土地利用/覆被动态变化的粤港澳大湾区碳储量评价与预测[J].环境科学,2024,45(4):2321-2331. Zheng Huiling, Zheng Huifeng. Assessment and prediction of carbon storage based on land use/land cover dynamics in the Guangdong-Hong Kong-Macao greater bay area [J]. Environmental Science, 2024,45(4):2321-2331.
Sleeter B M, Liu Jinxun, Daniel C, et al. Effects of contemporary land-use and land-cover change on the carbon balance of terrestrial ecosystems in the United States [J]. Environmental Research Letters, 2018,13(4):045006.
Bhan M, Gingrich S, Matej S, et al. Land use increases the correlation between tree cover and biomass carbon stocks in the global tropics [J]. Land, 2021,10(11):1217.
马勇洁,仲俊涛,米文宝,等.基于青海湖流域土地利用多情景模拟预测的碳储量评估及其脆弱性分析[J].干旱区资源与环境,2023,37(10):46-55. Ma Yongjie, Zhong Juntao, Mi Wenbao, et al. Assessment and vulnerability analysis on carbon storage based on multi-scenarios simulation and prediction of land use in Qinghai Lake basin [J]. Journal of Arid Land Resources and Environment, 2023,37(10):46-55.
向书江,张骞,王丹,等.近20年重庆市主城区碳储量对土地利用/覆被变化的响应及脆弱性分析[J].自然资源学报,2022,37(5):1198-1213. Xiang Shujiang, hang Qian, ang Dan, et al. esponse and vulnerability analysis of carbon storage to LUCC in the main urban area of Chongqing during 2000—2020[J]. Journal of Natural Resources, 2022,37(5):1198-1213.
Adger W N. Vulnerability [J]. Global environmental change, 2006,16(3):268-281.
Eriksen S H, Kelly P M. Developing credible vulnerability indicators for climate adaptation policy assessment [J]. Mitigation and Adaptation Strategies for Global Change, 2007,12(4):495-524.
Schröter D, Cramer W, Leemans R, et al. Ecosystem service supply and vulnerability to global change in Europe [J]. Science, 2005,310(5752):1333-1337.
Metzger M J, Rounsevell M D A, Acosta-Michlik L, et al. The vulnerability of ecosystem services to land use change [J]. Agriculture, Ecosystems & Environment, 2006,114(1):69-85.
刘金龙,马程,王阳,等.基于径向基函数网络的京津冀地区生态系统服务脆弱性评估[J].北京大学学报(自然科学版),2013,49(6):1040-1046. Liu Jinlong, Ma Cheng, Wang Yang, et al. Assessing the vulnerability of ecosystem services of Beijing Tianjin-Hebei area based on radial basis function network [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2013,49(6):1040-1046.
万海峰,蒙友波,陈洋,等.黔中城市群碳储量对土地利用/覆被变化的响应及脆弱性[J].水土保持通报,2024,44(1):443-452. Wan Haifeng, Meng Youbo, Chen Yang, et al. Response of carbon storage to land use/cover changes and vulnerability for central Guizhou urban agglomeration [J]. Bulletin of Soil and Water Conservation, 2024,44(1):443-452.
张斌,夏秋月.武汉城市圈碳储量的地形梯度效应及脆弱性[J].水土保持研究,2023,30(5):443-452. Zhang Bin, Xia Qiuyue. Topographic gradient effect and vulnerability analysis of carbon storage in Wuhan urban circle [J]. Research of Soil and Water Conservation, 2023,30(5):443-452.
何振芳,牟婷婷,郭庆春,等.近40年来黄河下游大汶河流域湿地时空演变与分异研究[EJ/OL].水资源保护[2023-09-19]. https://kns.cnki.net/kcms/detail/32.1356.TV.20230918.1726.002.html. He Zhenfang, Mou Tingting, Guo Qingchun, et al. Study on the spatial and temporal evolution and differentiation of wetlands in Dawen River basin in downstream of the Yellow River in the past 40 years [EJ/OL]. Water Resources Protection [2023-09-19]. https://kns.cnki.net/kcms/detail/32.1356.TV.20230918.1726.002.html.
Zhang Fangyuan, Jia Yanyan, Liu Xinlong, et al. Application of MSPA-MCR models to construct ecological security pattern in the basin: A case study of Dawen River basin [J]. Ecological Indicators, 2024,160:111887.
智菲,周振宏,赵铭,等.基于PLUS和InVEST模型的合肥市生态系统碳储量时空演变特征[J].水土保持学报,2024,38(2):205-215. Zhi Fei, Zhou Zhenhong, Zhao Ming, et al. Temporal and spatial evolution characteristics of carbon storage in Hefei ecosystem based on PLUS and InVEST models [J]. Journal of Soil and Water Conservation, 2024,38(2):205-215.
徐丽,何念鹏,于贵瑞.2010s中国陆地生态系统碳密度数据集[J].中国科学数据,2019,4(1):86-92. Xu Li, He Nianpeng, Yu Guirui. A dataset of carbon density in Chinese terrestrial ecosystems(2010s) [J]. China Scientific Data, 2019,4(1):86-92.
杨洁,谢保鹏,张德罡.基于InVEST和CA-Markov模型的黄河流域碳储量时空变化研究[J].中国生态农业学报(中英文),2021,29(6):1018-1029. Yang Jie, Xie Baopeng, Zhang Degang. Spatio-temporal evolution of carbon stocks in the Yellow River basin based on InVEST and CA-Markov models [J]. Chinese Journal of Eco-Agriculture, 2021,29(6):1018-1029.
苗议艺.基于FLUS和InVEST模型的县域土地利用变化及碳储量优化模拟研究[D].山东泰安:山东农业大学,2022. Miao Yiyi. Optimization and simulation of county land use change and carbon storage based on FLUS and InVEST models [D]. Taian, Shangdong: Shandong Agricultural University, 2022.
陈光水,杨玉盛,谢锦升,等.中国森林的地下碳分配[J].生态学报,2007,27(12):5148-5157. Chen Guangshui, Yang Yusheng, Xie Jinsheng, et al. Total belowground carbon allocation in China’s forests [J]. Acta Ecologica Sinica, 2007,27(12):5148-5157.
Alam S A, Starr M, Clark B J F. Tree biomass and soil organic carbon densities across the Sudanese woodland savannah: A regional carbon sequestration study [J]. Journal of Arid Environments, 2013,89:67-76.
Xiang Shujiang, Wang Ying, Deng Hua, et al. Response and multi-scenario prediction of carbon storage to land use/cover change in the main urban area of Chongqing, China [J]. Ecological Indicators, 2022,142:109205.
Sadat M, Zoghi M, Malekmohammadi B. Spatiotemporal modeling of urban land cover changes and carbon storage ecosystem services: Case study in Qaem Shahr County, Iran [J]. Environment, Development and Sustainability, 2020,22(8):8135-8158.
杨小琬,张丽君,秦耀辰,等.1995年以来黄河下游碳储量时空变化及驱动因素[J].河南大学学报(自然科学版),2022,52(1):20-33. Yang Xiaowan, Zhang Lijun, Qin Yaochen, et al. Temporal and spatial variation and driving factors of carbon storage in the lower Yellow River since 1995[J]. Journal of Henan University (Natural Science), 2022,52(1):20-33.
Chimdi A, Gurmessa E. Effects of land use on selected soil properties and carbon sequestration in the Gurra watershed: The case of Chalia District, West Shoa Zone, Oromia, Ethiopia [J]. South African Journal of Botany, 2023,156:21-28.
Jiang Weiguo, Deng Yue, Tang Zhenghong, et al. Modelling the potential impacts of urban ecosystem changes on carbon storage under different scenarios by linking the CLUE-S and the InVEST models [J]. Ecological Modelling, 2017,345:30-40.
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