Allometric relationships to estimate aboveground biomass of species in a tropical dry forest of Central Mexico

Abstract The estimation of biomass in seasonally tropical dry forests requires basic information that for some species is scarce. To help solve this deficit, we generated allometric equations for five species of tropical dry forest (TDF). Equations for each tree species studied, for two groups of species, and all species together are reported. The equations were of the power type, based on diameter at breast height (dbh). The allometric model of each species included was fitted resulting in high values of the coefficient of determination using only the variable dbh. The allometric equations for each of the five forest species differed from each other (p < 0.05). Species grouped according to similar specific wood density showed a better fit of the model (p < 0.05), particularly those with high values for this parameter, than when considering only one species. The biomass of all species was predicted correctly by using only the measures of the basal area. However, the coefficient of determination increased, and the estimated error decreased, when the specific wood density was added to the model. Finally, the best fit of the model is attained by adding the tree height to the equation. The last two characteristics, however, were not significant when determining the individual models for each species.

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Main Authors: Gómez,Jesús D., Etchevers,Jorge D., Campo,Julio, Monterroso,Alejandro I., Paustian,Keit, Asensio,Carlos
Format: Digital revista
Language:English
Published: Instituto de Ecología A.C. 2021
Online Access:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-04712021000400111
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spelling oai:scielo:S1405-047120210004001112022-02-17Allometric relationships to estimate aboveground biomass of species in a tropical dry forest of Central MexicoGómez,Jesús D.Etchevers,Jorge D.Campo,JulioMonterroso,Alejandro I.Paustian,KeitAsensio,Carlos allometry forest biomass multiple linear regression normal diameter specific wood density Abstract The estimation of biomass in seasonally tropical dry forests requires basic information that for some species is scarce. To help solve this deficit, we generated allometric equations for five species of tropical dry forest (TDF). Equations for each tree species studied, for two groups of species, and all species together are reported. The equations were of the power type, based on diameter at breast height (dbh). The allometric model of each species included was fitted resulting in high values of the coefficient of determination using only the variable dbh. The allometric equations for each of the five forest species differed from each other (p < 0.05). Species grouped according to similar specific wood density showed a better fit of the model (p < 0.05), particularly those with high values for this parameter, than when considering only one species. The biomass of all species was predicted correctly by using only the measures of the basal area. However, the coefficient of determination increased, and the estimated error decreased, when the specific wood density was added to the model. Finally, the best fit of the model is attained by adding the tree height to the equation. The last two characteristics, however, were not significant when determining the individual models for each species.info:eu-repo/semantics/openAccessInstituto de Ecología A.C.Madera y bosques v.27 n.spe 20212021-01-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-04712021000400111en10.21829/myb.2021.2742441
institution SCIELO
collection OJS
country México
countrycode MX
component Revista
access En linea
databasecode rev-scielo-mx
tag revista
region America del Norte
libraryname SciELO
language English
format Digital
author Gómez,Jesús D.
Etchevers,Jorge D.
Campo,Julio
Monterroso,Alejandro I.
Paustian,Keit
Asensio,Carlos
spellingShingle Gómez,Jesús D.
Etchevers,Jorge D.
Campo,Julio
Monterroso,Alejandro I.
Paustian,Keit
Asensio,Carlos
Allometric relationships to estimate aboveground biomass of species in a tropical dry forest of Central Mexico
author_facet Gómez,Jesús D.
Etchevers,Jorge D.
Campo,Julio
Monterroso,Alejandro I.
Paustian,Keit
Asensio,Carlos
author_sort Gómez,Jesús D.
title Allometric relationships to estimate aboveground biomass of species in a tropical dry forest of Central Mexico
title_short Allometric relationships to estimate aboveground biomass of species in a tropical dry forest of Central Mexico
title_full Allometric relationships to estimate aboveground biomass of species in a tropical dry forest of Central Mexico
title_fullStr Allometric relationships to estimate aboveground biomass of species in a tropical dry forest of Central Mexico
title_full_unstemmed Allometric relationships to estimate aboveground biomass of species in a tropical dry forest of Central Mexico
title_sort allometric relationships to estimate aboveground biomass of species in a tropical dry forest of central mexico
description Abstract The estimation of biomass in seasonally tropical dry forests requires basic information that for some species is scarce. To help solve this deficit, we generated allometric equations for five species of tropical dry forest (TDF). Equations for each tree species studied, for two groups of species, and all species together are reported. The equations were of the power type, based on diameter at breast height (dbh). The allometric model of each species included was fitted resulting in high values of the coefficient of determination using only the variable dbh. The allometric equations for each of the five forest species differed from each other (p < 0.05). Species grouped according to similar specific wood density showed a better fit of the model (p < 0.05), particularly those with high values for this parameter, than when considering only one species. The biomass of all species was predicted correctly by using only the measures of the basal area. However, the coefficient of determination increased, and the estimated error decreased, when the specific wood density was added to the model. Finally, the best fit of the model is attained by adding the tree height to the equation. The last two characteristics, however, were not significant when determining the individual models for each species.
publisher Instituto de Ecología A.C.
publishDate 2021
url http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-04712021000400111
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