Editor Robin Naidoo
Predicting Global Patterns in Mangrove Forest Biomass
Article first published online: 20 SEP 2013
©2013 The Authors. Conservation Letters published by Wiley Periodicals, Inc.
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
Volume 7, Issue 3, pages 233–240, May/June 2014
How to Cite
Hutchison, J., Manica, A., Swetnam, R., Balmford, A. and Spalding, M. (2014), Predicting Global Patterns in Mangrove Forest Biomass. Conservation Letters, 7: 233–240. doi: 10.1111/conl.12060
[Corrected after online publication September 20, 2013: Abstract inserted which was inadvertently left in published article.]
- Issue published online: 2 JUN 2014
- Article first published online: 20 SEP 2013
- Accepted manuscript online: 8 AUG 2013 08:04AM EST
- Manuscript Accepted: 31 JUL 2013
- Manuscript Received: 3 APR 2013
- blue carbon;
- ecosystem services;
- carbon storage;
- global model;
- above ground biomass
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.