Spatial pathways of blue carbon: Mangrove connectivity, climate resilience, and sustainable economies
DOI:
https://doi.org/10.61511/mangrove.v3i1.2026.3095Keywords:
blue carbon, climate resilience, mangrove connectivity, sentinel-5p, spatial analysisAbstract
Background: Climate change remains one of the most pressing environmental challenges, affecting ecological stability, social systems, and economic sustainability worldwide. Among nature-based mitigation strategies, blue carbon ecosystems, particularly mangroves, play a crucial role in absorbing atmospheric carbon. However, the spatial link between mangrove connectivity and atmospheric gas concentration remains poorly understood in Indonesia, despite its vast mangrove coverage. This study explores the spatial interactions between mangrove vegetation health, atmospheric gas distribution, and their implications for regional climate resilience and sustainable coastal development, a landscape characterized by the coexistence of oil, aquaculture, and mangrove ecosystems. Methods: Using a quantitative spatial approach, this research integrates Sentinel-2 Surface Reflectance (COPERNICUS/S2_SR) and Sentinel-5P Level-3 (COPERNICUS/S5P/OFFL/L3_NO2 and L3_CO) datasets within the Google Earth Engine platform. Vegetation conditions were assessed using the Normalized Difference Vegetation Index (NDVI) and Mangrove Vegetation Index (MVI), while atmospheric conditions were evaluated through tropospheric NO₂ and CO densities from 2019 to 2024. Cloud masking, compositing, and band stacking produced annual composites. Statistical correlation and spatial overlay analyses were conducted to examine vegetation–gas interactions across administrative boundaries, followed by visualization and descriptive validation. Findings: The results revealed strong negative correlations between NDVI–NO₂ (r = −0.61) and NDVI–CO (r = −0.48), indicating that healthier mangrove stands correspond with lower atmospheric gas concentrations. High NDVI and MVI areas, particularly near tidal estuaries, exhibited reduced emissions, whereas fragmented inland mangroves near industrial zones recorded higher gas densities. Temporal analysis between 2019 and 2024 showed an increasing vegetation trend alongside declining NO₂ levels, suggesting positive ecological recovery. Conclusion: This research demonstrates that maintaining spatially connected mangrove ecosystems strengthens local carbon regulation and supports Indonesia’s low-carbon development pathways. Novelty/Originality of this article: The study introduces a novel spatial framework linking Sentinel-2 and Sentinel-5P datasets to quantify vegetation–atmosphere interactions, providing the first regional-scale evidence of mangrove connectivity’s role in atmospheric gas mitigation.
References
Alongi, D. M. (2020). Carbon cycling and storage in mangrove forests. Annual Review of Marine Science, 12(1), 19–45. https://doi.org/10.1146/annurev-marine-010419-010827
Alongi, D. M., Murdiyarso, D., Fourqurean, J. W., Kauffman, J. B., Hutahaean, A., Crooks, S., & Lovelock, C. E. (2016). Indonesia’s blue carbon: A globally significant and vulnerable sink for seagrass and mangrove carbon. Wetlands Ecology and Management, 24(1), 3–13. https://doi.org/10.1007/s11273-015-9446-y
Arifanti, V. B., Kauffman, J. B., Hadriyanto, D., Murdiyarso, D., & Donato, D. C. (2019). Carbon dynamics and land use carbon footprints in mangrove-converted aquaculture: The case of Indonesia. Environmental Research Letters, 14(6), 065007. https://doi.org/10.1088/1748-9326/ab1e2e
Bunting, P., Rosenqvist, A., Lucas, R. M., Rebelo, L. M., Hilarides, L., Thomas, N., Hardy, A., Itoh, T., Shimada, M., & Finlayson, C. M. (2018). The Global Mangrove Watch, a new 2010 global baseline of mangrove extent. Remote Sensing, 10(10), 1669. https://doi.org/10.3390/rs10101669
Chen, L., Li, J., Xu, H., Chen, Z., & Lu, J. (2021). A spectral index for mangrove forest mapping and monitoring: Mangrove Vegetation Index (MVI). Remote Sensing of Environment, 264, 112611. https://doi.org/10.1016/j.rse.2021.112611
Costanza, R., de Groot, R., Braat, L., Kubiszewski, I., & Sutton, P. (2021). Twenty years of ecosystem services: How far have we come and how far do we still need to go? Ecosystem Services, 50, 101347. https://doi.org/10.1016/j.ecoser.2021.101347
Daud, M., et al. (2025). Mangroves, fauna compositions and carbon sequestration after ten years restoration on Flores Island, Indonesia. Scientific Reports, 15, 4832. https://www.nature.com/articles/s41598-025-87307-x
Donato, D. C., Kauffman, J. B., Murdiyarso, D., Kurnianto, S., Stidham, M., & Kanninen, M. (2011). Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4(5), 293–297. https://doi.org/10.1038/ngeo1123
Duarte, C. M., Middelburg, J. J., & Caraco, N. (2005). Major role of marine vegetation on the oceanic carbon cycle. Biogeosciences, 2(1), 1–8. https://doi.org/10.5194/bg-2-1-2005
Fatoyinbo, T. E., & Simard, M. (2013). Height and biomass of mangroves in Africa from ICESat/GLAS and SRTM. International Journal of Remote Sensing, 34(2), 668–681. https://doi.org/10.1080/01431161.2012.712229
Friess, D. A., Rogers, K., Lovelock, C. E., Krauss, K. W., Hamilton, S. E., Lee, S. Y., Lucas, R., Primavera, J., Rajkaran, A., & Shi, S. (2019). The state of the world’s mangrove forests: Past, present, and future. Annual Review of Environment and Resources, 44(1), 89–115. https://doi.org/10.1146/annurev-environ-101718-033302
Giri, C., Ochieng, E., Tieszen, L. L., Zhu, Z., Singh, A., Loveland, T., Masek, J., & Duke, N. (2011). Status and distribution of mangrove forests of the world using Earth observation satellite data. Global Ecology and Biogeography, 20(1), 154–159. https://doi.org/10.1111/j.1466-8238.2010.00584.x
Hamilton, S. E., & Friess, D. A. (2018). Global carbon stocks and potential emissions due to mangrove deforestation from 2000 to 2012. Nature Climate Change, 8(3), 240–244. https://doi.org/10.1038/s41558-018-0090-4
Howard, J., Sutton-Grier, A., Herr, D., Kleypas, J., Landis, E., McLeod, E., Pidgeon, E., & Simpson, S. (2022). Clarifying the role of coastal and marine systems in climate mitigation. Frontiers in Ecology and the Environment, 20(3), 169–177. https://doi.org/10.1002/fee.2468
IPCC. (2021). Climate Change 2021: The Physical Science Basis. Cambridge University Press. https://doi.org/10.1017/9781009157896
Jiang, H., Weng, Q., & Niu, X. (2022). Modeling urban heat island dynamics using Landsat and Sentinel time-series data. Remote Sensing of Environment, 280, 113212. https://doi.org/10.1016/j.rse.2022.113212
Kauffman, J. B., Donato, D. C., & Murdiyarso, D. (2018). Protocols for the measurement, monitoring, and reporting of structure, biomass, and carbon stocks in mangrove forests. CIFOR. https://doi.org/10.17528/cifor/007844
Kuenzer, C., Ottinger, M., Wegmann, M., Guo, H., & Dech, S. (2022). Earth observation for mangrove ecosystem monitoring: A review. Remote Sensing of Environment, 270, 112880. https://doi.org/10.1016/j.rse.2022.112880
Lovelock, C. E., & Reef, R. (2020). Variable impacts of climate change on blue carbon. Frontiers in Marine Science, 7, 263. https://doi.org/10.3389/fmars.2020.00263
Lucas, R., Rebelo, L., Fatoyinbo, T., & Thomas, N. (2020). Remote sensing for the conservation and management of tropical wetlands. Aquatic Conservation: Marine and Freshwater Ecosystems, 30(S1), 50–70. https://doi.org/10.1002/aqc.3332
Mcleod, E., Chmura, G. L., Bouillon, S., Salm, R., Björk, M., Duarte, C. M., Lovelock, C. E., Schlesinger, W. H., & Silliman, B. R. (2011). A blueprint for blue carbon: Toward an improved understanding of the role of vegetated coastal habitats in sequestering CO₂. Frontiers in Ecology and the Environment, 9(10), 552–560. https://doi.org/10.1890/110004
Murdiyarso, D., Sasmito, S. D., & Alongi, D. M. (2021). Mangrove and peatland ecosystems in Indonesia: Carbon dynamics and management for climate change mitigation. Wetlands Ecology and Management, 29(3), 285–298. https://doi.org/10.1007/s11273-021-09788-3
Nellemann, C., Corcoran, E., Duarte, C. M., Valdés, L., De Young, C., Fonseca, L., & Grimsditch, G. (2009). Blue carbon: The role of healthy oceans in binding carbon. UNEP, GRID-Arendal. https://coilink.org/20.500.12592/xqgj8d
Nouri, M., et al. (2024). Quantifying mangrove carbon assimilation rates using UAV imagery. Scientific Reports, 14, 4832. https://www.nature.com/articles/s41598-024-55090-w
Rovai, A. S., Twilley, R. R., Castañeda-Moya, E., Riul, P., Cifuentes-Jara, M., Manrow-Villalobos, M., Horta, P. A., Simonassi, J. C., Fonseca, A. L., & Pagliosa, P. R. (2018). Global controls on carbon storage in mangrove soils. Nature Climate Change, 8(6), 534–538. https://doi.org/10.1038/s41558-018-0162-5
Sasmito, S. D., Taillardat, P., Clendenning, J. N., Cameron, C., Friess, D. A., Murdiyarso, D., & Hutley, L. B. (2020). Effect of land-use and land-cover change on mangrove blue carbon: A systematic review. Global Change Biology, 26(8), 4089–4106. https://doi.org/10.1111/gcb.15110
Schile, L. M., Kauffman, J. B., Crooks, S., Fourqurean, J. W., Glavan, J., & Megonigal, J. P. (2017). Limits on carbon sequestration in arid blue carbon ecosystems. Ecological Applications, 27(3), 859–874. https://doi.org/10.1002/eap.1479
Setiawan, Y., Alikodra, H. S., & Prasetyo, L. B. (2020). Detection of mangrove cover change using Sentinel-2 imagery and Google Earth Engine: A case study in Indonesia. Indonesian Journal of Geography, 52(1), 15–26. https://doi.org/10.22146/ijg.52347
Thomas, N., Lucas, R., Bunting, P., Hardy, A., Rosenqvist, A., & Simard, M. (2017). Distribution and drivers of global mangrove forest change, 1996–2010. PLoS ONE, 12(6), e0179302. https://doi.org/10.1371/journal.pone.0179302
Tischner, R. (2014). Nitrate transporters in leaves and their potential roles in foliar uptake of nitrogen dioxide. Frontiers in Plant Science, 5, 231. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4115617/
Turschwell, M. P., Lovelock, C. E., & Alongi, D. M. (2020). Mangrove ecosystem services and carbon storage under pressure. Biological Reviews, 95(2), 572–589. https://doi.org/10.1111/brv.12570
Urban, D. L., & Keitt, T. H. (2001). Landscape connectivity: A graph-theoretic perspective. Ecology, 82(5), 1205–1218. https://doi.org/10.1890/0012-9658(2001)082[1205:LCAGTP]2.0.CO;2
Veefkind, J. P., Aben, I., McMullan, K., Förster, H., & Levelt, P. F. (2012). TROPOMI on the ESA Sentinel-5 Precursor: A GMES mission for global observations of the atmospheric composition. Atmospheric Measurement Techniques, 5(1), 35–45. https://doi.org/10.5194/amt-5-35-2012
Winarso, G., Yulianto, F., & Yuwono, D. (2021). Monitoring coastal blue carbon ecosystems using remote sensing approaches: A review and case study in Indonesia. IOP Conference Series: Earth and Environmental Science, 940(1), 012004. https://doi.org/10.1088/1755-1315/940/1/012004
Woodroffe, C. D., Rogers, K., McKee, K. L., Lovelock, C. E., Mendelssohn, I. A., & Saintilan, N. (2016). Mangrove sedimentation and response to relative sea-level rise. Annual Review of Marine Science, 8(1), 243–266. https://doi.org/10.1146/annurev-marine-122414-034025
Zhou, Y., & Liu, Y. (2021). A spatial–temporal analysis of blue carbon dynamics in coastal wetlands. Science of the Total Environment, 789, 147917. https://doi.org/10.1016/j.scitotenv.2021.147917
Zhu, Z., Chen, J., & Peng, J. (2022). Integrating remote sensing and atmospheric data for carbon monitoring. Remote Sensing of Environment, 280, 113216. https://doi.org/10.1016/j.rse.2022.113216
Zulkarnain, M. T., & Murdiyarso, D. (2023). Blue carbon policy integration and spatial data transparency in Indonesia. Marine Policy, 152, 105720. https://doi.org/10.1016/j.marpol.2023.105720
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