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Article

Spatial Synergy Between Carbon Storage and Emissions in Coastal China: Insights from PLUS-InVEST and OPGD Models

1
College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China
2
MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, Shenzhen University, Shenzhen 518060, China
3
Guangdong Key Laboratory of Urban Informatics, Shenzhen University, Shenzhen 518060, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(16), 2859; https://doi.org/10.3390/rs17162859 (registering DOI)
Submission received: 4 July 2025 / Revised: 3 August 2025 / Accepted: 14 August 2025 / Published: 16 August 2025
(This article belongs to the Special Issue Carbon Sink Pattern and Land Spatial Optimization in Coastal Areas)

Abstract

Coastal zones face mounting pressures from rapid urban expansion and ecological degradation, posing significant challenges to achieving synergistic carbon storage and emissions reduction under China’s “dual carbon” goals. Yet, the identification of spatially explicit zones of carbon synergy (high storage–low emissions) and conflict (high emissions–low storage) in these regions remains limited. This study integrates the PLUS (Patch-generating Land Use Simulation), InVEST (Integrated Valuation of Ecosystem Services and Trade-offs), and OPGD (optimal parameter-based GeoDetector) models to evaluate the impacts of land-use/cover change (LUCC) on coastal carbon dynamics in China from 2000 to 2030. Four contrasting land-use scenarios (natural development, economic development, ecological protection, and farmland protection) were simulated to project carbon trajectories by 2030. From 2000 to 2020, rapid urbanization resulted in a 29,929 km2 loss of farmland and a 43,711 km2 increase in construction land, leading to a net carbon storage loss of 278.39 Tg. Scenario analysis showed that by 2030, ecological and farmland protection strategies could increase carbon storage by 110.77 Tg and 110.02 Tg, respectively, while economic development may further exacerbate carbon loss. Spatial analysis reveals that carbon conflict zones were concentrated in major urban agglomerations, whereas spatial synergy zones were primarily located in forest-rich regions such as the Zhejiang–Fujian and Guangdong–Guangxi corridors. The OPGD results demonstrate that carbon synergy was driven largely by interactions between socioeconomic factors (e.g., population density and nighttime light index) and natural variables (e.g., mean annual temperature, precipitation, and elevation). These findings emphasize the need to harmonize urban development with ecological conservation through farmland protection, reforestation, and low-emission planning. This study, for the first time, based on the PLUS-Invest-OPGD framework, proposes the concepts of “carbon synergy” and “carbon conflict” regions and their operational procedures. Compared with the single analysis of the spatial distribution and driving mechanisms of carbon stocks or carbon emissions, this method integrates both aspects, providing a transferable approach for assessing the carbon dynamic processes in coastal areas and guiding global sustainable planning.
Keywords: land-use/cover change; carbon storage; carbon emissions; InVEST; PLUS model; OPGD model land-use/cover change; carbon storage; carbon emissions; InVEST; PLUS model; OPGD model

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MDPI and ACS Style

Li, C.; Huang, J.; Luo, Y.; Wang, J. Spatial Synergy Between Carbon Storage and Emissions in Coastal China: Insights from PLUS-InVEST and OPGD Models. Remote Sens. 2025, 17, 2859. https://doi.org/10.3390/rs17162859

AMA Style

Li C, Huang J, Luo Y, Wang J. Spatial Synergy Between Carbon Storage and Emissions in Coastal China: Insights from PLUS-InVEST and OPGD Models. Remote Sensing. 2025; 17(16):2859. https://doi.org/10.3390/rs17162859

Chicago/Turabian Style

Li, Chunlin, Jinhong Huang, Yibo Luo, and Junjie Wang. 2025. "Spatial Synergy Between Carbon Storage and Emissions in Coastal China: Insights from PLUS-InVEST and OPGD Models" Remote Sensing 17, no. 16: 2859. https://doi.org/10.3390/rs17162859

APA Style

Li, C., Huang, J., Luo, Y., & Wang, J. (2025). Spatial Synergy Between Carbon Storage and Emissions in Coastal China: Insights from PLUS-InVEST and OPGD Models. Remote Sensing, 17(16), 2859. https://doi.org/10.3390/rs17162859

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