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Alongi, D. M., Murdiyarso, D., Fourqurean, J. W., Kauffman, J. B., Hutahaean, A., Crooks, S., et al. (2016). Indonesia's blue carbon: a globally significant and vulnerable sink for seagrass and mangrove carbon. Wetlands Ecol Manage, 24(1), 3–13.
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Bianchi, T. S., Allison, M. A., Zhao, J., Li, X., Comeaux, R. S., Feagin, R. A., et al. (2013). Historical reconstruction of mangrove expansion in the Gulf of Mexico: Linking climate change with carbon sequestration in coastal wetlands. Estuarine, Coastal and Shelf Science, 119, 7–16.
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Cavaleri, M. A., Coble, A. P., Ryan, M. G., Bauerle, W. L., Loescher, H. W., & Oberbauer, S. F. (2017). Tropical rainforest carbon sink declines during El Niño as a result of reduced photosynthesis and increased respiration rates. New Phytol, 216(1), 136–149.
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Dwivedi, P., Khanna, M., Sharma, A., & Susaeta, A. (2016). Efficacy of carbon and bioenergy markets in mitigating carbon emissions on reforested lands: A case study from Southern United States. Forest Policy and Economics, 67, 1–9.
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Leorri, E., Zimmerman, A. R., Mitra, S., Christian, R. R., Fatela, F., & Mallinson, D. J. (2018). Refractory organic matter in coastal salt marshes-effect on C sequestration calculations. Sci Total Environ, 63, 391–398.
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Peña-Lévano, L. M., Taheripour, F., & Tyner, W. E. (2019). Climate Change Interactions with Agriculture, Forestry Sequestration, and Food Security. Environ Resource Econ, 74(2), 653–675.
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Rolando, J. L., Turin, C., Ramírez, D. A., Mares, V., Monerris, J., & Quiroz, R. (2017). Key ecosystem services and ecological intensification of agriculture in the tropical high-Andean Puna as affected by land-use and climate changes. Agriculture, Ecosystems & Environment, 236, 221–233.
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Veldman, J. W., Overbeck, G. E., Negreiros, D., Mahy, G., Le Stradic, S., Fernandes, G. W., et al. (2015). Where Tree Planting and Forest Expansion are Bad for Biodiversity and Ecosystem Services. BioScience, 65(10), 1011–1018.
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Wilson, C. H., Caughlin, T. T., Rifai, S. W., Boughton, E. H., Mack, M. C., & Flory, S. L. (2017). Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland. Ecol Appl, 27(5), 1646–1656.
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