1.濮阳职业技术学院能源与化学工程学院,河南 濮阳 457000
2.华北水利水电大学人居科学与设计学院,郑州 450000
3.濮阳市昌隆规划建设有限公司,河南 濮阳 457000
魏姗(1984—),女,硕士,讲师,主要从事土地利用优化及碳储量评估研究。E-mail:weishan0517@163.com
杨伟敏(1988—),女,学士,工程师,主要从事人文地理与城市规划研究。E-mail:yangweimin111@126.com
收稿:2026-05-23,
修回:2026-07-03,
录用:2026-07-15,
网络首发:2026-08-21,
纸质出版:2026-10-28
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魏姗,丁明磊,杨伟敏.基于PLUS⁃InVEST模型的黄河流域碳储量时空演变与模拟[J].水土保持学报,2026,40(5):471-482.
Wei Shan, Ding Minglei, Yang Weimin. Spatiotemporal evolution and simulation of carbon storage in the Yellow River basin based on the PLUS-InVEST model[J]. Journal of Soil and Water Conservation,2026,40(5):471-482.
魏姗,丁明磊,杨伟敏.基于PLUS⁃InVEST模型的黄河流域碳储量时空演变与模拟[J].水土保持学报,2026,40(5):471-482. DOI: 10.13870/j.cnki.stbcxb.2026.05.037. CSTR: 32310.14.stbcxb.2026.05.037.
Wei Shan, Ding Minglei, Yang Weimin. Spatiotemporal evolution and simulation of carbon storage in the Yellow River basin based on the PLUS-InVEST model[J]. Journal of Soil and Water Conservation,2026,40(5):471-482. DOI: 10.13870/j.cnki.stbcxb.2026.05.037. CSTR: 32310.14.stbcxb.2026.05.037.
目的
2
定量评估土地利用变化对碳储量的影响,对推动“双碳”战略目标实现和流域国土空间优化具有重要意义。
方法
2
以黄河流域为研究区,基于2005年、2015年和2025年3期土地利用数据,综合运用PLUS-InVEST模型,分析流域土地利用变化及碳储量时空演变特征,并模拟预测2035年自然发展、城镇开发、耕地保护和生态保护4种情景下的土地利用格局与碳储量变化。
结果
2
1)2005—2025年黄河流域土地利用结构以草地、耕地和林地为主,建设
用地和林地分别增加1.07万km
2
和1.27万km
2
,耕地和未利用地持续减少,反映出城镇扩张作用下的土地利用调整过程; 2)2005—2025年流域碳储量累计增加0.95亿t,整体呈增长趋势。草地、耕地和林地是主要碳库,合计贡献率超过96%,空间上呈“中部较高、上下游相对较低”的分布特征; 3)2035年4种情景下,碳储量表现为生态保护情景(73.44亿t)
>
耕地保护情景(72.96亿t)
>
自然发展情景(72.77亿t)
>
城镇开发情景(72.10亿t),说明生态保护和耕地保护有助于提升或维持流域碳储量,而城镇开发强度增加可能削弱碳汇功能; 4)土地利用转换方向是影响碳储量变化的重要因素,草地转林地、未利用地转草地、建设用地转耕地等是主要增汇路径,耕地、草地向建设用地转化是重要减汇路径。
结论
2
未来黄河流域应采取耕地保护与生态保护相协调的复合型政策导向,严格控制建设用地无序扩张,统筹推进粮食安全、生态安全与“双碳”目标协同实现。
Objective
2
Quantitatively assessing the impact of land use change on carbon storage is of great significance for promoting China′s "dual-carbon" goals and optimizing territorial spatial planning.
Methods
2
Taking the Yellow River basin as the study area, this study used land use data from 2005, 2015, and 2025 and integrated the PLUS-InVEST models to analyze the spatiotemporal evolution of land use and carbon storage. The land use patterns and carbon storage changes in 2035 were further simulated under four scenarios: natural development, urban development, cropland protection, and ecological protection.
Results
2
1) From 2005 to 2025, grassland, cropland, and forest land dominated the land use structure of the Yellow River basin. Construction land and forest land increased by 10 700 km
2
and 12 700 km
2
, respectively, while cropland and unused land continued to decrease, reflecting land use adjustments driven by urban expansion. 2) Carbon storage in the basin increased by 0.095 billion t from 2005 to 2025, showing an overall upward trend. Grassland, cropland, and forest land were the main carbon pools, contributing more than 96% of the total carbon storage. Spatially, carbon storage showed a pattern of being relatively high in the middle reaches and relatively low in the upper and lower reaches. 3) Under the four scenarios in 2035, carbon storage followed the order of
ecological protection scenario (7.344 billion t)
>
cropland protection scenario (7.296 billion t)
>
natural development scenario (7.277 billion t)
>
urban development scenario (7.210 billion t), indicating that ecological protection and cropland protection help improve or maintain carbon storage, whereas intensified urban development may weaken the carbon sink function. 4) The direction of land use conversion was an important factor affecting carbon storage changes. The conversions from grassland to forest land, unused land to grassland, and construction land to cropland were the main pathways for carbon storage increase, while the conversions from cropland and grassland to construction land were important pathways for carbon storage loss.
Conclusion
2
In the future, the Yellow River basin should adopt a coordinated policy orientation integrating cropland protection and ecological protection, strictly control the disorderly expansion of construction land, and promote the coordinated realization of food security, ecological security, and the "dual-carbon" goals.
杨元合 , 石岳 , 孙文娟 , 等 . 中国及全球陆地生态系统碳源汇特征及其对碳中和的贡献 [J]. 中国科学:生命科学 , 2022 , 52 ( 4 ): 534 - 574 .
Yang Yuanhe , Shi Yue , Sun Wenjuan , et al . Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality [J]. Scientia Sinica (Vitae) , 2022 , 52 ( 4 ): 534 - 574 .
杨玉盛 , 谢锦升 , 盛浩 , 等 . 中亚热带山区土地利用变化对土壤有机碳储量和质量的影响 [J]. 地理学报 , 2007 , 62 ( 11 ): 1123 - 1131 .
Yang Yusheng , Xie Jinsheng , Sheng Hao , et al . The impact of land use/cover change on soil organic carbon stocks and quality in mid-subtropical mountainous area of southern China [J]. Acta Geographica Sinica , 2007 , 62 ( 11 ): 1123 - 1131 .
袁钰娜 , 姜学兵 . 森林生态系统碳估测方法及展望 [J]. 人民珠江 , 2024 , 45 ( 2 ): 90 - 96 .
Yuan Yuna , Jiang Xuebing . Forest ecosystem carbon measurement methods and future directions [J]. Pearl River , 2024 , 45 ( 2 ): 90 - 96 .
涂燕茹 , 邢龙 , 吴语嫣 , 等 . 国内生态系统碳储量时空动态研究进展与趋势 [J]. 安徽师范大学学报(自然科学版) , 2025 , 48 ( 4 ): 322 - 333 .
Tu Yanru , Xing Long , Wu Yuyan , et al . Research progress and trend of domestic ecosystem carbon storage spatio-temporal dynamics [J]. Journal of Anhui Normal University (Natural Science) , 2025 , 48 ( 4 ): 322 - 333 .
姚顽强 , 徐梦雨 , 蔺小虎 , 等 . 西咸地区土地利用与生态系统服务时空演变研究 [J]. 人民黄河 , 2026 , 48 ( 5 ): 121 - 127 .
Yao Wanqiang , Xu Mengyu , Lin Xiaohu , et al . Spatio-temporal evolution of land use and ecosystem services in Xi′an and Xianyang Region [J]. Yellow River , 2026 , 48 ( 5 ): 121 - 127 .
董世杰 , 安慧 , 吴海林 . 长三角地区生态脆弱性评估、驱动因素分析及预测 [J]. 环境科学 , 2026 , 47 ( 5 ): 3235 - 3248 .
Dong Shijie , An Hui , Wu Hailin . Ecological vulnerability assessment, driving factor analysis, and prediction in the Yangtze River Delta Region [J]. Environmental Science , 2026 , 47 ( 5 ): 3235 - 3248 .
Liang Xun , Guan Qingfeng , Clarke K C , et al . Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China [J]. Computers, Environment and Urban Systems , 2021 , 85 : e101569 .
秦正 , 高宇潇 , 萨木哈·单山白 . 基于PLUS-InVEST的济南多情景土地利用变化模拟与碳储量评估 [J]. 人民黄河 , 2024 , 46 ( 5 ): 117 - 122 .
Qin Zheng , Gao Yuxiao , Samha·Sarsenbay . Multi-scenario land use change simulation and carbon storage assessment in Jinan City based on PLUS-InVEST model [J]. Yellow River , 2024 , 46 ( 5 ): 117 - 122 .
伍璐垚 . 甘肃省草地生态系统碳储量时空分布格局及影响因素研究 [D]. 北京 : 中国环境科学研究院 , 2025 .
Wu Luyao . Spatiotemporal distribution pattern and influencing factors of carbon storage in the grassland ecosystem of Gansu Province [D]. Beijing : Chinese Research Academy of Environmental Sciences , 2025 .
刘雅璇 , 彭秋志 , 黄培依 , 等 . 川西高原土地利用碳储量估算及多情景预测 [J]. 水土保持学报 , 2024 , 38 ( 1 ): 207 - 219 .
Liu Yaxuan , Peng Qiuzhi , Huang Peiyi , et al . Estimation and multi-scenario prediction of land use carbon storage in western Sichuan Plateau [J]. Journal of Soil and Water Conservation , 2024 , 38 ( 1 ): 207 - 219 .
韩楚翘 , 郑江华 , 王哲 , 等 . 基于PLUS-InVEST模型吐哈盆地陆地生态系统碳储量时空变化及多情景模拟 [J]. 干旱区地理 , 2024 , 47 ( 2 ): 260 - 269 .
Han Chuqiao , Zheng Jianghua , Wang Zhe , et al . Spatiotemporal variation and multiscenario simulation of carbon storage in terrestrial ecosystems in the Turpan-Hami basin based on PLUS-InVEST model [J]. Arid Land Geography , 2024 , 47 ( 2 ): 260 - 269 .
王想 , 王春雨 , 吕飞南 , 等 . 基于PLUS-InVEST模型的区县碳储量时空格局变化与碳汇提升策略:以延庆区为例 [J]. 应用生态学报 , 2023 , 34 ( 12 ): 3373 - 3384 .
Wang Xiang , Wang Chunyu , Lyu Feinan , et al . Temporal and spatial variations of carbon storage and carbon sink improvement strategy at the district and county level based on PLUS-InVEST model: Taking Yanqing District as an example [J]. Chinese Journal of Applied Ecology , 2023 , 34 ( 12 ): 3373 - 3384 .
赵彦飞 , 王丽 . 黄河流域产业智能化与生态效率的耦合机制及演化特征 [J]. 人民黄河 , 2026 , 48 ( 5 ): 35 - 41 .
Zhao Yanfei , Wang Li . Coupling mechanism and evolution characteristics of industrial intelligence and ecological efficiency in the Yellow River basin [J]. Yellow River , 2026 , 48 ( 5 ): 35 ‑ 41 .
曾庆雨 , 孙才志 . 黄河流域陆地生态系统碳储量测算及其影响因素 [J]. 生态学报 , 2024 , 44 ( 13 ): 5476 - 5493 .
Zeng Qingyu , Sun Caizhi . Estimation and influencing factors of carbon storage in terrestrial ecosystems in the Yellow River basin [J]. Acta Ecologica Sinica , 2024 , 44 ( 13 ): 5476 - 5493 .
李冰洁 , 范志韬 , 曲芷程 , 等 . 基于InVEST-PLUS模型的黄河流域内蒙古段生态系统碳储量评价及预测 [J]. 干旱区研究 , 2024 , 41 ( 7 ): 1217 - 1227 .
Li Bingjie , Fan Zhitao , Qu Zhicheng , et al . Evaluation and prediction of ecosystem carbon storage in the Inner Mongolia section of the Yellow River basin based on the InVEST-PLUS model [J]. Arid Zone Research , 2024 , 41 ( 7 ): 1217 - 1227 .
崔旺来 , 蔡莉 , 奚恒辉 , 等 . 基于土地利用/覆盖变化的浙江大湾区生态安全评价及多情景模拟分析 [J]. 生态学报 , 2022 , 42 ( 6 ): 2136 - 2148 .
Cui Wanglai , Cai Li , Xi Henghui , et al . Ecological security assessment and multi-scenario simulation analysis of Zhejiang Greater Bay Area based on LUCC [J]. Acta Ecologica Sinica , 2022 , 42 ( 6 ): 2136 - 2148 .
柯佳兰 , 贺一梅 , 杨诗琴 . 基于InVEST-PLUS模型的昆明市土地利用变化与碳储量时空演变研究 [J]. 绿色科技 , 2024 , 26 ( 15 ): 207 - 213 .
Ke Jialan , He Yimei , Yang Shiqin . Spatiotemporal evolution of carbon stock from land use changes in Kunming based on InVEST-PLUS model [J]. Journal of Green Science and Technology , 2024 , 26 ( 15 ): 207 - 213 .
张旭辉 , 杜敏 , 王莉霞 , 等 . 基于PLUS-InVEST模型的庆阳市碳储量时空演变及其多情景预测 [J]. 水土保持研究 , 2026 , 33 ( 4 ): 317 - 329 .
Zhang Xuhui , Du Min , Wang Lixia , et al . Spatiotemporal evolution and multi‑scenario prediction of carbon storage in Qingyang City based on PLUS‑InVEST model [J]. Research of Soil and Water Conservation , 2026 , 33 ( 4 ): 317 ‑ 329 .
胡增琳 , 曹罗丹 , 李加林 , 等 . 基于InVEST-PLUS-GeoDectetor模型的浙江大陆海岸带生态系统碳储量时空演变特征及多情景预测 [J]. 生态学报 , 2026 , 46 ( 7 ): 3695 - 3711 .
Hu Zenglin , Cao Luodan , Li Jialin , et al . Spatio-temporal evolution and multi-scenario prediction of carbon stock in coastal zone ecosystems of Zhejiang mainland based on the InVEST-PLUS-GeoDetector model [J]. Acta Ecologica Sinica , 2026 , 46 ( 7 ): 3695 - 3711 .
Shi Hanqi , Duan Huan′e , Li Xuemei , et al . Impact of land use change on carbon storage based on the PLUS-InVEST model: A case study in the urban belt along the Yellow River, China [J]. Journal of Arid Land , 2026 , 18 ( 3 ): 452 - 476 .
赵双红 , 周冬梅 , 王得梅 , 等 . 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 [J]. 应用生态学报 , 2024 , 35 ( 8 ): 2044 - 2054 .
Zhao Shuanghong , Zhou Dongmei , Wang Demei , et al . Ecosystem carbon storage assessment and multi-scenario prediction in the Weihe River basin based on PLUS-InVEST model [J]. Chinese Journal of Applied Ecology , 2024 , 35 ( 8 ): 2044 - 2054 .
张阔 , 郭荣中 , 吴洁 . 基于PLUS-InVEST模型的长株潭城市群碳储量时空演变及情景模拟 [J]. 中国水土保持科学(中英文) , 2026 , 24 ( 1 ): 252 - 269 .
Zhang Kuo , Guo Rongzhong , Wu Jie . The spatio-temporal evolution and scenario simulation of carbon storage in the Chang-Zhu-Tan urban agglomeration based on the PLUS-InVEST model [J]. Science of Soil and Water Conservation , 2026 , 24 ( 1 ): 252 - 269 .
Zhang Jiaping , Cao Penghui , Roosli R . Assessing land use and carbon storage changes using PLUS and InVEST models: A multi-scenario simulation in Hohhot [J]. Environmental and Sustainability Indicators , 2025 , 26 : e100655 .
Liu Xiangyu , Zhang Fei , Jim C Y , et al . Spatio-temporal dynamics and drivers of carbon storage in arid ecosystems: Integrated analysis using InVEST and PLUS models with machine learning [J]. Environmental Research , 2026 , 302 : e124641 .
丛中笑 , 刘金花 , 孙增禹 , 等 . 基于PLUS与InVEST模型的黄河流域九省(区)碳储量变化分析 [J]. 人民黄河 , 2024 , 46 ( 12 ): 24 - 30 .
Cong Zhongxiao , Liu Jinhua , Sun Zengyu , et al . Analysis of carbon stock changes in nine provinces(regions)of the Yellow River basin based on PLUS and InVEST models [J]. Yellow River , 2024 , 46 ( 12 ): 24 - 30 .
李佳凡 , 付昊 , 张盼月 , 等 . 基于PLUS-InVEST模型的濮阳市土地利用变化与碳储量评估 [J]. 人民黄河 , 2025 , 47 ( 8 ): 140 - 145 .
Li Jiafan , Fu Hao , Zhang Panyue , et al . Assessment of land use change and carbon storage in Puyang City based on PLUS-InVEST model [J]. Yellow River , 2025 , 47 ( 8 ): 140 - 145 .
何慧爽 , 董鑫鑫 , 丁婕妤 . 基于PLUS-InVEST模型的黄河流域“三生” 空间演变多情景模拟与碳储量评估 [J]. 环境科学 , 2026 , 47 ( 5 ): 3037 - 3048 .
He Huishuang , Dong Xinxin , Ding Jieyu . Multi-scenario simulation of evolution of production-living-ecological space and carbon stock assessment in the Yellow River basin based on the PLUS-InVEST model [J]. Environmental Science , 2026 , 47 ( 5 ): 3037 - 3048 .
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