Allometric models for aboveground biomass estimation of the mangrove Avicennia schaueriana
As mangroves become recognized as important carbon storages, the need for reducing the uncertainty of carbon inventories becomes increasingly emphasized. Accordingly, the objective of this study was to develop allometric models to estimate the total aboveground biomass (AGB) and the biomass per comp...
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| Veröffentlicht in: | Hydrobiologia 2014-08, Vol.734 (1), p.171-185 |
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| creator | Estrada, Gustavo Calderucio Duque Soares, Mário Luiz Gomes Santos, Daniel Medina Corrêa Fernandez, Viviane de Almeida, Paula Maria Moura Estevam, Marciel Rocha de Medeiros Machado, Maria Rita Olyntho |
| description | As mangroves become recognized as important carbon storages, the need for reducing the uncertainty of carbon inventories becomes increasingly emphasized. Accordingly, the objective of this study was to develop allometric models to estimate the total aboveground biomass (AGB) and the biomass per compartment of Avicennia schaueriana and to compare them with other models previously published for the genus Avicennia. Fifty three A. schaueriana trees, with different diameters at breast height (DBH) and height, were felled in a mangrove from Southeastern Brazil and their dry weight determined. Simple linear regression analysis was used to develop the equations after log-transformation, using the following independent variables: DBH and DBH² * height. All the equations were significant and presented high R ₐ ² (adjusted coefficient of determination). DBH provided the lowest SEE (standard error of estimation) in the regressions associated to leaves and total AGB, while DBH² * height generated the most precise regressions for trunk, branches, and twigs. In comparison with other 11 equations previously developed for the genus Avicennia, the equation developed in the present study for total AGB showed the lowest mean deviation in relation to trees with known biomass, underscoring the importance of developing species- and site-specific equations. |
| doi_str_mv | 10.1007/s10750-014-1878-5 |
| format | Article |
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Accordingly, the objective of this study was to develop allometric models to estimate the total aboveground biomass (AGB) and the biomass per compartment of Avicennia schaueriana and to compare them with other models previously published for the genus Avicennia. Fifty three A. schaueriana trees, with different diameters at breast height (DBH) and height, were felled in a mangrove from Southeastern Brazil and their dry weight determined. Simple linear regression analysis was used to develop the equations after log-transformation, using the following independent variables: DBH and DBH² * height. All the equations were significant and presented high R ₐ ² (adjusted coefficient of determination). DBH provided the lowest SEE (standard error of estimation) in the regressions associated to leaves and total AGB, while DBH² * height generated the most precise regressions for trunk, branches, and twigs. In comparison with other 11 equations previously developed for the genus Avicennia, the equation developed in the present study for total AGB showed the lowest mean deviation in relation to trees with known biomass, underscoring the importance of developing species- and site-specific equations.</description><identifier>ISSN: 0018-8158</identifier><identifier>EISSN: 1573-5117</identifier><identifier>DOI: 10.1007/s10750-014-1878-5</identifier><language>eng</language><publisher>Cham: Springer-Verlag</publisher><subject>aboveground biomass ; Avicennia ; Avicennia schaueriana ; Biomass ; Biomedical and Life Sciences ; branches ; carbon ; Carbon sequestration ; Coasts ; Ecology ; equations ; Forests ; Freshwater & Marine Ecology ; inventories ; leaves ; Life Sciences ; linear models ; Mangroves ; Primary Research Paper ; Regression analysis ; trees ; uncertainty ; Zoology</subject><ispartof>Hydrobiologia, 2014-08, Vol.734 (1), p.171-185</ispartof><rights>Springer International Publishing Switzerland 2014</rights><rights>COPYRIGHT 2014 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c446t-16e673b312cbf65f4282d3eefa1d9243c4355142aa5245b811767f72ac9b5cfc3</citedby><cites>FETCH-LOGICAL-c446t-16e673b312cbf65f4282d3eefa1d9243c4355142aa5245b811767f72ac9b5cfc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10750-014-1878-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10750-014-1878-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Estrada, Gustavo Calderucio Duque</creatorcontrib><creatorcontrib>Soares, Mário Luiz Gomes</creatorcontrib><creatorcontrib>Santos, Daniel Medina Corrêa</creatorcontrib><creatorcontrib>Fernandez, Viviane</creatorcontrib><creatorcontrib>de Almeida, Paula Maria Moura</creatorcontrib><creatorcontrib>Estevam, Marciel Rocha de Medeiros</creatorcontrib><creatorcontrib>Machado, Maria Rita Olyntho</creatorcontrib><title>Allometric models for aboveground biomass estimation of the mangrove Avicennia schaueriana</title><title>Hydrobiologia</title><addtitle>Hydrobiologia</addtitle><description>As mangroves become recognized as important carbon storages, the need for reducing the uncertainty of carbon inventories becomes increasingly emphasized. Accordingly, the objective of this study was to develop allometric models to estimate the total aboveground biomass (AGB) and the biomass per compartment of Avicennia schaueriana and to compare them with other models previously published for the genus Avicennia. Fifty three A. schaueriana trees, with different diameters at breast height (DBH) and height, were felled in a mangrove from Southeastern Brazil and their dry weight determined. Simple linear regression analysis was used to develop the equations after log-transformation, using the following independent variables: DBH and DBH² * height. All the equations were significant and presented high R ₐ ² (adjusted coefficient of determination). DBH provided the lowest SEE (standard error of estimation) in the regressions associated to leaves and total AGB, while DBH² * height generated the most precise regressions for trunk, branches, and twigs. In comparison with other 11 equations previously developed for the genus Avicennia, the equation developed in the present study for total AGB showed the lowest mean deviation in relation to trees with known biomass, underscoring the importance of developing species- and site-specific equations.</description><subject>aboveground biomass</subject><subject>Avicennia</subject><subject>Avicennia schaueriana</subject><subject>Biomass</subject><subject>Biomedical and Life Sciences</subject><subject>branches</subject><subject>carbon</subject><subject>Carbon sequestration</subject><subject>Coasts</subject><subject>Ecology</subject><subject>equations</subject><subject>Forests</subject><subject>Freshwater & Marine Ecology</subject><subject>inventories</subject><subject>leaves</subject><subject>Life Sciences</subject><subject>linear models</subject><subject>Mangroves</subject><subject>Primary Research Paper</subject><subject>Regression 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Avicennia schaueriana</title><author>Estrada, Gustavo Calderucio Duque ; Soares, Mário Luiz Gomes ; Santos, Daniel Medina Corrêa ; Fernandez, Viviane ; de Almeida, Paula Maria Moura ; Estevam, Marciel Rocha de Medeiros ; Machado, Maria Rita Olyntho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c446t-16e673b312cbf65f4282d3eefa1d9243c4355142aa5245b811767f72ac9b5cfc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>aboveground biomass</topic><topic>Avicennia</topic><topic>Avicennia schaueriana</topic><topic>Biomass</topic><topic>Biomedical and Life Sciences</topic><topic>branches</topic><topic>carbon</topic><topic>Carbon sequestration</topic><topic>Coasts</topic><topic>Ecology</topic><topic>equations</topic><topic>Forests</topic><topic>Freshwater & Marine Ecology</topic><topic>inventories</topic><topic>leaves</topic><topic>Life Sciences</topic><topic>linear 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mangroves become recognized as important carbon storages, the need for reducing the uncertainty of carbon inventories becomes increasingly emphasized. Accordingly, the objective of this study was to develop allometric models to estimate the total aboveground biomass (AGB) and the biomass per compartment of Avicennia schaueriana and to compare them with other models previously published for the genus Avicennia. Fifty three A. schaueriana trees, with different diameters at breast height (DBH) and height, were felled in a mangrove from Southeastern Brazil and their dry weight determined. Simple linear regression analysis was used to develop the equations after log-transformation, using the following independent variables: DBH and DBH² * height. All the equations were significant and presented high R ₐ ² (adjusted coefficient of determination). DBH provided the lowest SEE (standard error of estimation) in the regressions associated to leaves and total AGB, while DBH² * height generated the most precise regressions for trunk, branches, and twigs. In comparison with other 11 equations previously developed for the genus Avicennia, the equation developed in the present study for total AGB showed the lowest mean deviation in relation to trees with known biomass, underscoring the importance of developing species- and site-specific equations.</abstract><cop>Cham</cop><pub>Springer-Verlag</pub><doi>10.1007/s10750-014-1878-5</doi><tpages>15</tpages></addata></record> |
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| subjects | aboveground biomass Avicennia Avicennia schaueriana Biomass Biomedical and Life Sciences branches carbon Carbon sequestration Coasts Ecology equations Forests Freshwater & Marine Ecology inventories leaves Life Sciences linear models Mangroves Primary Research Paper Regression analysis trees uncertainty Zoology |
| title | Allometric models for aboveground biomass estimation of the mangrove Avicennia schaueriana |
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