A global map of mangrove forest soil carbon at 30m spatial resolution
With the growing recognition that effective action on climate change will require a combination of emissions reductions and carbon sequestration, protecting, enhancing and restoring natural carbon sinks have become political priorities. Mangrove forests are considered some of the most carbon-dens...
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| Online Access: | https://repositorio.catie.ac.cr/handle/11554/9037 |
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RepoCATIE90372022-08-05T19:20:45Z A global map of mangrove forest soil carbon at 30m spatial resolution Sanderma, Jonathan Hengl, Tomislav Fiske, Greg Solvik, Kylen Adame, Maria Fernanda Benson, Lisa Bukoski, Jacob J. Carnell, Paul Cifuentes Jara, Miguel Donato, Daniel Duncan, Clare Eid, Ebrahem M. Ermgassen, Philine zu Ewers Lewis, Carolyn J. Macreadie, Peter I Glass, Leach Gress, Selena Jardine, Sunny L. Jones, Trevor G. Rahman, MD Mizanur Sanders, Christian J. Spalding, Mark Landis, Emily With the growing recognition that effective action on climate change will require a combination of emissions reductions and carbon sequestration, protecting, enhancing and restoring natural carbon sinks have become political priorities. Mangrove forests are considered some of the most carbon-dense ecosystems in the world with most of the carbon stored in the soil. In order for mangrove forests to be included in climate mitigation efforts, knowledge of the spatial distribution of mangrove soil carbon stocks are critical. Current global estimates do not capture enough of the finer scale variability that would be required to inform local decisions on siting protection and restoration projects. To close this knowledge gap, we have compiled a large georeferenced database of mangrove soil carbon measurements and developed a novel machine-learning based statistical model of the distribution of carbon density using spatially comprehensive data at a 30m resolution. This model, which included a prior estimate of soil carbon from the global SoilGrids 250m model, was able to capture 63% of the vertical and horizontal variability in soil organic carbon density (RMSE of 10.9 kgm*3). Of the local variables, total suspended sediment load and Landsat imagery were the most important variable explaining soil carbon density. Projecting this model across the global mangrove forest distribution for the year 2000 yielded an estimate of 6.4 Pg C for the top meter of soil with an 86–729 Mg C ha*1 range across all pixels. By utilizing remotely-sensed mangrove forest cover change data, loss of soil carbon due to mangrove habitat loss between 2000 and 2015 was 30–122 Tg C with >75% of this loss attributable to Indonesia, Malaysia and Myanmar. The resulting map products from this work are intended to serve nations seeking to include mangrove habitats in payment-for- ecosystem services projects and in designing effective mangrove conservation strategies. 2019-04-09T17:13:13Z 2019-04-09T17:13:13Z 2018 Artículo https://repositorio.catie.ac.cr/handle/11554/9037 openAccess openAccess en Environmental Research Letters 13, 2018 info:eu-repo/semantics/openAccess application/pdf |
| institution |
Centro Agronómico Tropical de Investigación y Enseñanza |
| collection |
Repositorio CATIE |
| language |
Inglés |
| description |
With the growing recognition that effective action on climate change will require a combination of
emissions reductions and carbon sequestration, protecting, enhancing and restoring natural carbon
sinks have become political priorities. Mangrove forests are considered some of the most
carbon-dense ecosystems in the world with most of the carbon stored in the soil. In order for
mangrove forests to be included in climate mitigation efforts, knowledge of the spatial distribution of
mangrove soil carbon stocks are critical. Current global estimates do not capture enough of the finer
scale variability that would be required to inform local decisions on siting protection and restoration
projects. To close this knowledge gap, we have compiled a large georeferenced database of mangrove
soil carbon measurements and developed a novel machine-learning based statistical model of the
distribution of carbon density using spatially comprehensive data at a 30m resolution. This model,
which included a prior estimate of soil carbon from the global SoilGrids 250m model, was able to
capture 63% of the vertical and horizontal variability in soil organic carbon density (RMSE of
10.9 kgm*3). Of the local variables, total suspended sediment load and Landsat imagery were the
most important variable explaining soil carbon density. Projecting this model across the global
mangrove forest distribution for the year 2000 yielded an estimate of 6.4 Pg C for the top meter of soil
with an 86–729 Mg C ha*1 range across all pixels. By utilizing remotely-sensed mangrove forest cover
change data, loss of soil carbon due to mangrove habitat loss between 2000 and 2015 was 30–122 Tg C
with >75% of this loss attributable to Indonesia, Malaysia and Myanmar. The resulting map products from this work are intended to serve nations seeking to include mangrove habitats in payment-for-
ecosystem services projects and in designing effective mangrove conservation strategies. |
| format |
Artículo |
| author |
Sanderma, Jonathan Hengl, Tomislav Fiske, Greg Solvik, Kylen Adame, Maria Fernanda Benson, Lisa Bukoski, Jacob J. Carnell, Paul Cifuentes Jara, Miguel Donato, Daniel Duncan, Clare Eid, Ebrahem M. Ermgassen, Philine zu Ewers Lewis, Carolyn J. Macreadie, Peter I Glass, Leach Gress, Selena Jardine, Sunny L. Jones, Trevor G. Rahman, MD Mizanur Sanders, Christian J. Spalding, Mark Landis, Emily |
| spellingShingle |
Sanderma, Jonathan Hengl, Tomislav Fiske, Greg Solvik, Kylen Adame, Maria Fernanda Benson, Lisa Bukoski, Jacob J. Carnell, Paul Cifuentes Jara, Miguel Donato, Daniel Duncan, Clare Eid, Ebrahem M. Ermgassen, Philine zu Ewers Lewis, Carolyn J. Macreadie, Peter I Glass, Leach Gress, Selena Jardine, Sunny L. Jones, Trevor G. Rahman, MD Mizanur Sanders, Christian J. Spalding, Mark Landis, Emily A global map of mangrove forest soil carbon at 30m spatial resolution |
| author_facet |
Sanderma, Jonathan Hengl, Tomislav Fiske, Greg Solvik, Kylen Adame, Maria Fernanda Benson, Lisa Bukoski, Jacob J. Carnell, Paul Cifuentes Jara, Miguel Donato, Daniel Duncan, Clare Eid, Ebrahem M. Ermgassen, Philine zu Ewers Lewis, Carolyn J. Macreadie, Peter I Glass, Leach Gress, Selena Jardine, Sunny L. Jones, Trevor G. Rahman, MD Mizanur Sanders, Christian J. Spalding, Mark Landis, Emily |
| author_sort |
Sanderma, Jonathan |
| title |
A global map of mangrove forest soil carbon at 30m spatial resolution |
| title_short |
A global map of mangrove forest soil carbon at 30m spatial resolution |
| title_full |
A global map of mangrove forest soil carbon at 30m spatial resolution |
| title_fullStr |
A global map of mangrove forest soil carbon at 30m spatial resolution |
| title_full_unstemmed |
A global map of mangrove forest soil carbon at 30m spatial resolution |
| title_sort |
global map of mangrove forest soil carbon at 30m spatial resolution |
| publishDate |
2019 |
| url |
https://repositorio.catie.ac.cr/handle/11554/9037 |
| work_keys_str_mv |
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