The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Predicting Global Patterns in Mangrove Forest Biomass
Open accessAbstract
Understanding spatial variation in carbon storage in natural habitats is critical for climate change mitigation efforts such as REDD. Terrestrial forests are being mapped with increasing accuracy, but the distribution of ``blue carbon'' in marine ecosystems remains poorly understood. We reviewed the literature to obtain field data on carbon storage and fluxes in mangroves world‐wide. Using this material we developed a climate‐based model for potential mangrove above‐ground biomass (AGB) with almost four times the explanatory power of the only previous published model. From this model, we present the first ever global map of potential mangrove AGB and estimate a total global mangrove AGB of 2.83 Pg, with an average of 184.8 t ha −1 . Data on other carbon stocks and fluxes confirm the importance of mangroves in carbon accounting. The map highlights the high variability in mangrove AGB and indicates areas that should be prioritised for mangrove conservation and restoration.
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Mcleod, E., Chmura, G. L., Bouillon, S., Salm, R., Björk, M., Duarte, C. M., Lovelock, C. E., Schlesinger, W. H., & Silliman, B. R. (2011) · Frontiers in Ecology and the Environment · doi:10.1890/110004 · Cited by 3,590
Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
Baccini, A., Goetz, S. J., Walker, W. S., Laporte, N. T., Sun, M., Sulla-Menashe, D., Hackler, J., Beck, P. S. A., Dubayah, R., Friedl, M. A., et al. (2012) · Nature Climate Change · doi:10.1038/nclimate1354 · Cited by 1,788
Organic carbon burial rates in mangrove sediments: strengthening the global budget
Breithaupt, J. L., Smoak, J. M., Smith, T. J., Sanders, C. J., & Hoare, A. (2012) · Global Biogeochemical Cycles · doi:10.1029/2012gb004375 · Cited by 428
Cited by
The biomass distribution on Earth
Bar-On, Y. M., Phillips, R., & Milo, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711842115 · Cited by 3,723
“An estimate for the total biomass of mangroves is roughly ≈4 Gt C (11).”
BackgroundBlue carbon as a natural climate solution
Macreadie, P. I., Costa, M. D. P., Atwood, T. B., Friess, D. A., Kelleway, J. J., Kennedy, H., Lovelock, C. E., Serrano, O., & Duarte, C. M. (2021) · Nature Reviews Earth & Environment · doi:10.1038/s43017-021-00224-1 · Cited by 1,081
Global patterns in mangrove soil carbon stocks and losses
Atwood, T. B., Connolly, R. M., Almahasheer, H., Carnell, P. E., Duarte, C. M., Ewers Lewis, C. J., Irigoien, X., Kelleway, J. J., Lavery, P. S., Macreadie, P. I., et al. (2017) · Nature Climate Change · doi:10.1038/nclimate3326 · Cited by 706
Lu, Y., Yuan, J., Lu, X., Su, C., Zhang, Y., Wang, C., Cao, X., Li, Q., Su, J., Ittekkot, V., et al. (2018) · Environmental Pollution · doi:10.1016/j.envpol.2018.04.016 · Cited by 432
Total ecosystem carbon stocks of mangroves across broad global environmental and physical gradients
Kauffman, J. B., Adame, M. F., Arifanti, V. B., Schile‐Beers, L. M., Bernardino, A. F., Bhomia, R. K., Donato, D. C., Feller, I. C., Ferreira, T. O., Jesus Garcia, M. D. C., et al. (2020) · Ecological Monographs · doi:10.1002/ecm.1405 · Cited by 365
Metadata
- Authors
- Hutchison, J., Manica, A., Swetnam, R., Balmford, A., & Spalding, M.
- Venue
- Conservation Letters
- Publisher
- Wiley
- Published
- 2013-09-20
- Volume
- 7
- Issue
- 3
- Pages
- 233-240
- ISSN
- 1755-263X (ISSN-L)
- OpenAlex
- W1547808400
- Cited by
- 353
- References
- 3
- FWCI
- 12.95
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hutchison, J., Manica, A., Swetnam, R., Balmford, A., & Spalding, M. (2014). Predicting Global Patterns in Mangrove Forest Biomass. Conservation Letters. https://doi.org/10.1111/conl.12060
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
