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ORIGINAL RESEARCH article
Front. Environ. Sci.
Sec. Environmental Informatics and Remote Sensing
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1545455
This article is part of the Research Topic Air Quality: Observation, Remote Sensing, and Model Development - Volume II View all 7 articles
Spatiotemporal evolution and prediction of blue-green-grey-space carbon stocks in Henan Province, China
Provisionally accepted- Henan Institute of Science and Technology, Xinxiang, China
By combining the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model with the Patch-generating Land Use Simulation (PLUS) model, this study evaluates the spatiotemporal evolution of blue-green-grey spatial carbon stocks in Henan Province, China, and predicts the relationship between blue-green-grey spatial changes and carbon stocks under four future scenarios. This total amount of carbon stocks decreased by 39.75 × 10 6 Mg from 2000 to 2020. The pattern of carbon-storage spatial distribution is characterised by 'higher in the west and lower in the east'. The urbanisation process in Henan Province has been accelerating, and the area of grey space has increased rapidly, resulting in a substantial decline in carbon storage. Grey-space development will be severely constrained under the ecological protection (EP) scenario by 2050, where the grey-space area will decrease by 33.15% compared to that in 2020. Under the cultivated-land protection (CLP) scenario, the growth of the green space will increase considerably and carbon storage will reach the highest level.
Keywords: Blue-green-grey spaces, Carbon Storage, InVEST model, Plus model, Henan
Received: 15 Dec 2024; Accepted: 24 Feb 2025.
Copyright: © 2025 zhou, wei, wang, wang, wang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
kai zhou, Henan Institute of Science and Technology, Xinxiang, China
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