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Assessing economic value of carbon storage and land use changes based on the coupled PLUS-InVEST model in Lanzhou City
Lei Xin, Hai Xinquan
GEOGRAPHICAL SCIENCE ›› 2025, Vol. 45 ›› Issue (2) : 339-348.
PDF(3229 KB)
PDF(3229 KB)
Assessing economic value of carbon storage and land use changes based on the coupled PLUS-InVEST model in Lanzhou City
({{custom_author.role_en}}), {{javascript:window.custom_author_en_index++;}}Optimizing land use objectives offers effective tools for judicious resource allocation. Simulating future land use and carbon stock changes is vital for formulating regional sustainability policies and enhancing terrestrial ecosystem carbon storage. This article analyzed the spatial and temporal differences in land use and carbon storage from 2000 to 2020, predicted the spatial and temporal differences in land use changes and carbon storage under four development patterns, namely, “natural development pattern (BAU), urban development pattern (RED), cultivated land protection pattern (CPS), and ecological protection pattern (EPS)” in 2030 by constructing the coupled land use model (PLUS-InVEST), and estimated the economic value of the carbon storage by combining the formula of compounded present value and compounded terminal value in Lanzhou City from 2000 to 2030. The results showed that land use changes were dominated by the decrease of grassland area and the increase of building land area in Lanzhou City from 2000 to 2020, with a loss of 61.77×104 t of carbon storage during the 20-year period. With the exception of the EPS, in which the carbon storage increased by 5.09 ×104 t, all other scenarios showed different degrees of carbon loss compared to the 2020, with the largest loss of carbon in RED at 56.46×104 t. In this study, the economic value of carbon storage increased by 10.3×108 yuan in Lanzhou City from 2000 to 2020 through the compound present value method, which is mainly attributed to the significant increase in carbon price on the time scale. Compared to the economic value of carbon storage in 2020, the EPS has the highest economic value of carbon storage at 34.58×108 yuan, which is the optimal development model for the study area. This study has important practical significance for the low carbon development of land resources and scientific decision-making of ecosystem management in Lanzhou.
land use / carbon storage / PLUS-InVEST model / economic value of carbon storage {{custom_keyword}} /
| [1] |
朱志强, 马晓双, 胡洪. 基于耦合FLUS-InVEST模型的广州市生态系统碳储量时空演变与预测[J]. 水土保持通报, 2021, 41(2): 222-229+239.
Zhu Zhiqiang, Ma Xiaoshuang, Hu Hong. Spatio-temporal evolution and prediction of ecostem carbon stocks in Guangzhou City by coupling FLUS-InVEST models. Bulletin of Soil and Water Conservation, 2021, 41(2): 222-229+239.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [2] |
方创琳, 祁巍锋, 宋吉涛. 中国城市群紧凑度的综合测度分析[J]. 地理学报, 2008, 63(10): 1011-1021.
Fang Chuanglin, Qi Weifeng, Song Jitao. Researches on comprehensive measurement of compactness of urban agglomerations in China. Acta Geographica Sinica, 2008, 63(10): 1011-1021.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [3] |
刘洋, 张军, 周冬梅, 等. 基于InVEST模型的疏勒河流域碳储量时空变化研究[J]. 生态学报, 2021, 41(10): 4052-4065.
Liu Yang, Zhang Jun, Zhou Dongmei et al. Temporal and spatial variation of carbon storage in the Shule River basin based on InVEST model. Acta Ecologica Sinica, 2021, 41(10): 4052-4065.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [4] |
张燕, 师学义, 唐倩. 不同土地利用情景下汾河上游地区碳储量评估[J]. 生态学报, 2021, 41(1): 360-373.
Zhang Yan, Shi Xueyi, Tang Qian. Carbon storage assessment in the upper reaches of the Fenhe River under different land use scenarios. Acta Ecologica Sinica, 2021, 41(1): 360-373.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [5] |
雒舒琪, 胡晓萌, 孙媛, 等. 耦合PLUS-InVEST模型的多情景土地利用变化及其对碳储量影响[J]. 中国生态农业学报, 2023, 31(2): 300-314.
Luo Shuqi, Hu Xiaomeng, Sun Yuan et al. Multi-scenario land use change and its impact on carbon storage based on coupled PLUS-Invest model. Chinese Journal of Eco-Agriculture, 2023, 31(2): 300-314.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [6] |
Yonghua L, Song Y, Hezhou J et al. Spatial-temporal evolution and prediction of carbon storage: An integrated framework based on the MOP–PLUS–InVEST model and an applied case study in Hangzhou, East China[J]. Land, 2022, 11(12): 2213.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [7] |
王君彩, 牛晓叶. 低碳背景下森林碳汇的资产属性及其评价方法探讨[J]. 会计之友, 2013(8): 13-17.
Wang Juncai, Niu Xiaoye. Asset attributes and evaluation methods of forest carbon sinks under the background of low carbon. Friends of Accounting, 2013(8): 13-17.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [8] |
胡峻嶍, 黄访, 铁烈华, 等. 四川省森林植被固碳经济价值动态[J]. 生态学报, 2019, 39(1): 158-163.
Hu Junyi, Huang Fang, Tie Liehua et al. Economic value dynamics of carbon sequestration in forest vegetation of Sichuan Province. Acta Ecologica Sinica, 2019, 39(1): 158-163.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [9] |
Rajbanshi J, Das S. Changes in carbon stocks and its economic valuation under a changing land use pattern—A multitemporal study in Konar catchment, India[J]. Land Degradation & Development, 2021, 32(13): 3573-3587.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [10] |
隋玉正, 陈小璇, 李淑娟, 等. 海岸带蓝碳时空演变及其服务价值评估——以胶州湾为例[J]. 资源科学, 2019, 41(11): 2119-2130.
Sui Yuzheng, Chen Xiaoxuan, Li Shujuan et al. Spatiotemporal change of coastal blue carbon and its service value evaluation: A case study of Jiaozhou Bay. Resource Science, 2019, 41(11): 2119-2130.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [11] |
齐绍洲, 赵鑫, 谭秀杰. 基于EEMD模型的中国碳市场价格形成机制研究[J]. 武汉大学学报(哲学社会科学版), 2015, 68(4): 56-65.
Qi Shaozhou, Zhao Xin, Tan Xiujie. A study on the formation mechanism of chinese carbon market price based on EEMD model. Journal of Wuhan University, 2015, 68(4): 56-65.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [12] |
赵立祥, 胡灿. 我国碳排放权交易价格影响因素研究——基于结构方程模型的实证分析[J]. 价格理论与实践, 2016(7): 101-104.
Zhao Lixiang, Hu Can. Research on influencing factors of carbon emission trading price in China: Empirical analysis based on structural equation model. Price Theory And Practice, 2016(7): 101-104.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [13] |
景亚平. 浅析“资金的时间价值”[J]. 商场现代化, 2005(30): 167-168.
Jing Yaping. Analysis of ‘‘Time value of capital’’. Market Modernization, 2005(30): 167-168.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [14] |
曲青林, 曹爱霞, 刘学录. 兰州市土地利用生态安全评价[J]. 环境科学研究, 2009, 22(6): 753-756.
Qu Qinglin, Cao Aixia, Liu Xuelu. Appraisal of land use eco-security in Lanzhou City. Research of Environmental Scientific, 2009, 22(6): 753-756.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [15] |
邹桃红, 陈鹏, 刘家福, 等. 不同土地利用情景下四平市生态系统碳储量时空演变[J/OL]. 中国环境科学: 2023,1-11[2023-09-06].DOI: 10.19674/j. cnki. issn1000-6923.20230529. 020.
Zou Taohong, Chen Peng, Liu Jiafu et al. Spatio-temporal dynamics of territorial ecosystem carbon storage under different land use scenarios in Siping City. Chinese Environmental Sciences, 2023,1-11[2023-09-06]. DOI:10.19674/j.cnki.issn1000-6923.20230529.020.].
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [16] |
姜海, 曲福田. 建设用地需求预测的理论与方法——以江苏省为例[J]. 中国土地科学, 2005, 19(2): 44-51.
Jiang Hai, Qu Futian. Theories and techniques of construction land demand forecast: Jiangsu Province as a case. Chinese Land Science, 2005, 19(2): 44-51.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [17] |
方正. 基于RSEI与SD模型的生态环境质量评价及发展态势研究[D]. 南昌: 东华理工大学, 2020.
Fang Zheng. Evaluation and development trend of ecological environment quality based on RSEI and SD models. Nanchang: East China University of Technology, 2020.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [18] |
张红凤, 周峰, 杨慧, 等. 环境保护与经济发展双赢的规制绩效实证分析[J]. 经济研究, 2009, 44(3): 14-26+67.
Zhang Hongfeng, Zhou Feng, Yang Hui et al. Money demand and asset substitution in China. Economic Research Jouranl, 2009, 44(3): 14-26+67.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [19] |
巩晟萱, 张玉虎, 李宇航. 基于PLUS-InVEST模型的京津冀碳储量变化及预测[J]. 干旱区资源与环境, 2023, 37(6): 20-28.
Gong Shengxuan, Zhang Yuhu, Li Yuhang. Spatio-temporal variation and prediction of carbon storage in Beijing-Tianjin-Hebei region—A PLUS-InVEST model approach. Journal of Arid Land Resources and Environment, 2023, 37(6): 20-28.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [20] |
陈宁, 辛存林, 唐道斌, 等. 中国西北地区多情景土地利用优化与碳储量评估[J]. 环境科学, 2023, 44(8): 4655-4665.
Chen Ning, Xin Cunlin, Tang Daobin et al. Multi-scenario land use optimization and carbon storage assessment in Northwest China. Environmental Science, 2023, 44(8): 4655-4665.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [21] |
杨朔, 苏昊, 赵国平. 基于PLUS模型的城市生态系统服务价值多情景模拟——以汉中市为例[J]. 干旱区资源与环境, 2022, 36(10): 86-95.
Yang Shuo, Su Hao, Zhao Guoping. Multi-scenario simulation of urban ecosystem service value based on PLUS model: A case study of Hanzhong City. Journal of Arid Land Resources and Environment, 2022, 36(10): 86-95.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [22] |
任玺锦, 裴婷婷, 陈英, 等. 基于碳密度修正的甘肃省土地利用变化对碳储量的影响[J]. 生态科学, 2021, 40(4): 66-74.
Ren xijin, Pei Tingting, Chen Ying et al. Impact of land use change on carbon storage in Gansu Province based on carbon density correction. Ecological Science, 2021, 40(4): 66-74.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [23] |
Tang Xuli, Zhao Xia, Bai Yongfei et al. Carbon pools in China’s terrestrial ecosystems: New estimates based on an intensive field survey[J]. Proceedings of the National Academy of Sciences of the United States of America, 2018, 115(16): 4021-4026.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [24] |
Junju Zhou, Yaru Zhao, Peng Huang et al. Impacts of ecological restoration projects on the ecosystem carbon storage of inland river basin in arid area, China[J]. Ecological Indicators, 2020, 118: 107770
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [25] |
赫晓慧, 徐雅婷, 范学峰, 等. 中原城市群区域碳储量的时空变化和预测研究[J]. 中国环境科学, 2022, 42(6): 2965-2976.
Hao Xiaohui, Xu Yating, Fan Xuefeng et al. Temporal and spatial variation and prediction of regional carbon storage in Zhongyuan Urban Agglomeration. Chinese Environmental Science, 2022, 42(6): 2965-2976.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [26] |
卿苗, 赵军, 冯超, 等. 1980—2030年石羊河流域生态系统碳储存服务对土地利用变化的响应[J]. 生态学报, 2022, 42(23): 9525-9536.
Qing Miao, Zhao Jun, Feng Chao et al. Response of ecosystem carbon storage service to land-use change in Shiyang River basin from 1980 to 2030. Acta Ecologica Sinica, 2022, 42(23): 9525-9536.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [27] |
朱文博, 张静静, 崔耀平, 等. 基于土地利用变化情景的生态系统碳储量评估——以太行山淇河流域为例[J]. 地理学报, 2019, 74(3): 446-459.
Zhu Wenbo, Zhang Jingjing, Cui Yaoping et al. Assessment of territorial ecosystem carbon storage based on land use change scenario: A case study in Qihe River Basin. Acta Geographica Sinica, 2019, 74(3): 446-459.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [28] |
丁星明, 朱诗渊. 赣州不同情景土地利用变化对生态系统服务价值影响[J]. 北京测绘, 2023, 37(3): 415-419.
Ding Xingming, Zhu Shiyuan. Impact of land use change on ecosystem service value in different scenarios. Beijing Surveying and Mapping, 2023, 37(3): 415-419.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [29] |
Li C, Wu Y, Gao B et al. Multi-scenario simulation of ecosystem service value for optimization of land use in the Sichuan-Yunnan Ecological Barrier, China[J]. Ecological Indicators, 2021, 132: 108328.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [30] |
毛永发, 周启刚, 王陶, 等. 耦合PLUS-InVEST-Geodector模型的三峡库区碳储量时空变化及其定量归因[J]. 长江流域资源与环境, 2023, 32(5): 1042-1057.
Mao Yongfa, Zhou Qigang, Wang Tao et al. Spatial-temporal variation of carbon storage and its quantitative attribution in the Three Gorges Reservoir Area coupled with PLUS-InVEST-Geodector model. Resources and Environment in the Yangtze River Basin, 2023, 32(5): 1042-1057.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| {{custom_ref.label}} |
{{custom_citation.content}}
{{custom_citation.annotation}}
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