The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific
Mangroves provide extensive ecosystem services that support local livelihoods and international environmental goals, including coastal protection, biodiversity conservation and the sequestration of carbon (C). While voluntary C market projects seeking to preserve and enhance forest C stocks offer a...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
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Public Library of Science
2017
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| Online Access: | https://hdl.handle.net/10568/93931 |
| _version_ | 1855515827268222976 |
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| author | Bukoski, J.J. Broadhead, J.S. Donato, D.C. Murdiyarso, Daniel Gregoire, T.G. |
| author_browse | Broadhead, J.S. Bukoski, J.J. Donato, D.C. Gregoire, T.G. Murdiyarso, Daniel |
| author_facet | Bukoski, J.J. Broadhead, J.S. Donato, D.C. Murdiyarso, Daniel Gregoire, T.G. |
| author_sort | Bukoski, J.J. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Mangroves provide extensive ecosystem services that support local livelihoods and international environmental goals, including coastal protection, biodiversity conservation and the sequestration of carbon (C). While voluntary C market projects seeking to preserve and enhance forest C stocks offer a potential means of generating finance for mangrove conservation, their implementation faces barriers due to the high costs of quantifying C stocks through field inventories. To streamline C quantification in mangrove conservation projects, we develop predictive models for (i) biomass-based C stocks, and (ii) soil-based C stocks for the mangroves of the Asia-Pacific. We compile datasets of mangrove biomass C (197 observations from 48 sites) and soil organic C (99 observations from 27 sites) to parameterize the predictive models, and use linear mixed effect models to model the expected C as a function of stand attributes. The most parsimonious biomass model predicts total biomass C stocks as a function of both basal area and the interaction between latitude and basal area, whereas the most parsimonious soil C model predicts soil C stocks as a function of the logarithmic transformations of both latitude and basal area. Random effects are specified by site for both models, which are found to explain a substantial proportion of variance within the estimation datasets and indicate significant heterogeneity across-sites within the region. The root mean square error (RMSE) of the biomass C model is approximated at 24.6 Mg/ha (18.4% of mean biomass C in the dataset), whereas the RMSE of the soil C model is estimated at 4.9 mg C/cm3 (14.1% of mean soil C). The results point to a need for standardization of forest metrics to facilitate meta-analyses, as well as provide important considerations for refining ecosystem C stock models in mangroves. |
| format | Journal Article |
| id | CGSpace93931 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2017 |
| publishDateRange | 2017 |
| publishDateSort | 2017 |
| publisher | Public Library of Science |
| publisherStr | Public Library of Science |
| record_format | dspace |
| spelling | CGSpace939312025-06-17T08:23:20Z The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific Bukoski, J.J. Broadhead, J.S. Donato, D.C. Murdiyarso, Daniel Gregoire, T.G. mangroves swamps biomass forests forest ecology trees ecosystems Mangroves provide extensive ecosystem services that support local livelihoods and international environmental goals, including coastal protection, biodiversity conservation and the sequestration of carbon (C). While voluntary C market projects seeking to preserve and enhance forest C stocks offer a potential means of generating finance for mangrove conservation, their implementation faces barriers due to the high costs of quantifying C stocks through field inventories. To streamline C quantification in mangrove conservation projects, we develop predictive models for (i) biomass-based C stocks, and (ii) soil-based C stocks for the mangroves of the Asia-Pacific. We compile datasets of mangrove biomass C (197 observations from 48 sites) and soil organic C (99 observations from 27 sites) to parameterize the predictive models, and use linear mixed effect models to model the expected C as a function of stand attributes. The most parsimonious biomass model predicts total biomass C stocks as a function of both basal area and the interaction between latitude and basal area, whereas the most parsimonious soil C model predicts soil C stocks as a function of the logarithmic transformations of both latitude and basal area. Random effects are specified by site for both models, which are found to explain a substantial proportion of variance within the estimation datasets and indicate significant heterogeneity across-sites within the region. The root mean square error (RMSE) of the biomass C model is approximated at 24.6 Mg/ha (18.4% of mean biomass C in the dataset), whereas the RMSE of the soil C model is estimated at 4.9 mg C/cm3 (14.1% of mean soil C). The results point to a need for standardization of forest metrics to facilitate meta-analyses, as well as provide important considerations for refining ecosystem C stock models in mangroves. 2017 2018-07-03T10:56:39Z 2018-07-03T10:56:39Z Journal Article https://hdl.handle.net/10568/93931 en Open Access Public Library of Science Bukoski, J.J., Broadhead, J.S., Donato, D.C., Murdiyarso, D., Gregoire, T.G.. 2017. The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific PLoS ONE, 12 (1) : e0169096. https://doi.org/10.1371/journal.pone.0169096 |
| spellingShingle | mangroves swamps biomass forests forest ecology trees ecosystems Bukoski, J.J. Broadhead, J.S. Donato, D.C. Murdiyarso, Daniel Gregoire, T.G. The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific |
| title | The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific |
| title_full | The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific |
| title_fullStr | The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific |
| title_full_unstemmed | The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific |
| title_short | The Use of Mixed Effects Models for Obtaining Low-Cost Ecosystem Carbon Stock Estimates in Mangroves of the Asia-Pacific |
| title_sort | use of mixed effects models for obtaining low cost ecosystem carbon stock estimates in mangroves of the asia pacific |
| topic | mangroves swamps biomass forests forest ecology trees ecosystems |
| url | https://hdl.handle.net/10568/93931 |
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