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
Land-use/land-cover change (LUCC) is an important factor affecting carbon storage. It is of great practical significance to quantify the relationship between LUCC and carbon storage for regional ecological protection and sustainable socio-economic development. In this study, we proposed an integrate...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/11/12/2213 |
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| author | Yonghua Li Song Yao Hezhou Jiang Huarong Wang Qinchuan Ran Xinyun Gao Xinyi Ding Dandong Ge |
| author_facet | Yonghua Li Song Yao Hezhou Jiang Huarong Wang Qinchuan Ran Xinyun Gao Xinyi Ding Dandong Ge |
| author_sort | Yonghua Li |
| collection | DOAJ |
| description | Land-use/land-cover change (LUCC) is an important factor affecting carbon storage. It is of great practical significance to quantify the relationship between LUCC and carbon storage for regional ecological protection and sustainable socio-economic development. In this study, we proposed an integrated framework based on multiobjective programming (MOP), the patch-level land-use simulation (PLUS) model, and the integrated valuation of ecosystem service and trade-offs (InVEST) model. First, we used the InVEST model to explore the spatial and temporal evolution characteristics of carbon storage in Hangzhou from 2000 to 2020 using land-cover data. Second, we constructed four scenarios of natural development (ND), economic development (ED), ecological protection (EP), and balanced development (BD) using the Markov chain model and MOP, and then simulated the spatial distribution of land cover in 2030 with the PLUS model. Third, the InVEST model was used to predict carbon storage in 2030. Finally, we conducted a spatial correlation of Hangzhou’s carbon storage and delineated carbon storage zoning in Hangzhou. The results showed that: (1) The artificial surfaces grew significantly, while the cultivated land decreased significantly from 2000 to 2020. The overall trend was a decrease in carbon storage, and the changing areas of carbon storage were characterized by local aggregation and sporadic distribution. (2) The areas of artificial surfaces, water bodies, and shrubland will continue to increase up to 2030, while the areas of cultivated land and grassland will continue to decrease. The BD scenario can effectively achieve the multiple objectives of ecological protection and economic development. (3) The carbon storage will continue to decline up to 2030, and the EP scenario will have the highest carbon storage, which will effectively mitigate the carbon storage loss. (4) The spatial distribution of carbon storage in Hangzhou was inextricably linked to the land cover, which was characterized by a high–high concentration and a low–low concentration. The results of the study can provide decision support for the sustainable development of Hangzhou and other cities in the Yangtze River Delta region. |
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| format | Article |
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| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T16:11:37Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-0d0dd646632d4daeb5f3e8c6a9e681ce2023-11-24T16:07:19ZengMDPI AGLand2073-445X2022-12-011112221310.3390/land11122213Spatial-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 ChinaYonghua Li0Song Yao1Hezhou Jiang2Huarong Wang3Qinchuan Ran4Xinyun Gao5Xinyi Ding6Dandong Ge7Department of Regional and Urban Planning, Zhejiang University, Hangzhou 310058, ChinaDepartment of Regional and Urban Planning, Zhejiang University, Hangzhou 310058, ChinaDepartment of Regional and Urban Planning, Zhejiang University, Hangzhou 310058, ChinaDepartment of Regional and Urban Planning, Zhejiang University, Hangzhou 310058, ChinaDepartment of Regional and Urban Planning, Zhejiang University, Hangzhou 310058, ChinaDepartment of Regional and Urban Planning, Zhejiang University, Hangzhou 310058, ChinaDepartment of Regional and Urban Planning, Zhejiang University, Hangzhou 310058, ChinaDepartment of Regional and Urban Planning, Zhejiang University, Hangzhou 310058, ChinaLand-use/land-cover change (LUCC) is an important factor affecting carbon storage. It is of great practical significance to quantify the relationship between LUCC and carbon storage for regional ecological protection and sustainable socio-economic development. In this study, we proposed an integrated framework based on multiobjective programming (MOP), the patch-level land-use simulation (PLUS) model, and the integrated valuation of ecosystem service and trade-offs (InVEST) model. First, we used the InVEST model to explore the spatial and temporal evolution characteristics of carbon storage in Hangzhou from 2000 to 2020 using land-cover data. Second, we constructed four scenarios of natural development (ND), economic development (ED), ecological protection (EP), and balanced development (BD) using the Markov chain model and MOP, and then simulated the spatial distribution of land cover in 2030 with the PLUS model. Third, the InVEST model was used to predict carbon storage in 2030. Finally, we conducted a spatial correlation of Hangzhou’s carbon storage and delineated carbon storage zoning in Hangzhou. The results showed that: (1) The artificial surfaces grew significantly, while the cultivated land decreased significantly from 2000 to 2020. The overall trend was a decrease in carbon storage, and the changing areas of carbon storage were characterized by local aggregation and sporadic distribution. (2) The areas of artificial surfaces, water bodies, and shrubland will continue to increase up to 2030, while the areas of cultivated land and grassland will continue to decrease. The BD scenario can effectively achieve the multiple objectives of ecological protection and economic development. (3) The carbon storage will continue to decline up to 2030, and the EP scenario will have the highest carbon storage, which will effectively mitigate the carbon storage loss. (4) The spatial distribution of carbon storage in Hangzhou was inextricably linked to the land cover, which was characterized by a high–high concentration and a low–low concentration. The results of the study can provide decision support for the sustainable development of Hangzhou and other cities in the Yangtze River Delta region.https://www.mdpi.com/2073-445X/11/12/2213carbon storageland-use/land-cover changemultiobjective programmingPLUS modelInVEST modelmultiple scenario simulation |
| spellingShingle | Yonghua Li Song Yao Hezhou Jiang Huarong Wang Qinchuan Ran Xinyun Gao Xinyi Ding Dandong Ge 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 Land carbon storage land-use/land-cover change multiobjective programming PLUS model InVEST model multiple scenario simulation |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | carbon storage land-use/land-cover change multiobjective programming PLUS model InVEST model multiple scenario simulation |
| url | https://www.mdpi.com/2073-445X/11/12/2213 |
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