Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa
Allometric models are necessary for estimating biomass in terrestrial ecosystems. Generalized allometric relationship exists for many tropical trees, but species- and region-specific models are often lacking. We developed species-specific allometric models to predict aboveground biomass for 11 native tree species of the Sudanian savannawoodlands. Diameters at the base and at breast height, with species means ranging respectively from 11 to 28 cm and 9 to 19 cm, and the height of the trees were used as predictor variables. Sampled trees spanned a wide range of sizes including the largest sizes these species can reach. As a response variable, the biomass of the trees was obtained through destructive sampling of 4 754 trees during wood harvesting. We used a stepwise multiple regression analysis with backward elimination procedure to develop models separately predicting, total biomass of the trees, stem biomass, and biomass of branches and twigs. All speciesspecific regression models relating biomass with measured tree dimensions were highly significant (p < 0.001). The biomass of branches and twigs was less predictable compared to stem biomass and total biomass, although their models required fewer predictors and predictor interactions. The best-fit equations for total above-ground biomass and stem biomass had R2 > 0.70, except for the Acacia species; for branches including twig biomass, R2-values varied from 0.749 for Anogeissus leiocarpa to 0.183 for Acacia macrostachya. The use of these equations in estimating available biomass will avoid destructive sampling, and aid in planning for sustainable use of these species.
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dig-cirad-fr-5574742024-01-28T18:43:59Z http://agritrop.cirad.fr/557474/ http://agritrop.cirad.fr/557474/ Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa. Sawadogo Louis, Savadogo Patrice, Tiveau Didier, Djibril Dayamba Sidzabda, Zida Didier, Nouvellet Yves, Oden Per Christer, Guinko Sita. 2010. Journal of Forestry Research, 21 (4) : 475-481.https://doi.org/10.1007/s11676-010-0101-4 <https://doi.org/10.1007/s11676-010-0101-4> Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa Sawadogo, Louis Savadogo, Patrice Tiveau, Didier Djibril Dayamba, Sidzabda Zida, Didier Nouvellet, Yves Oden, Per Christer Guinko, Sita eng 2010 Journal of Forestry Research K10 - Production forestière U10 - Informatique, mathématiques et statistiques P06 - Sources d'énergie renouvelable biomasse savane mesure (activité) organisme indigène modélisation environnementale gestion des ressources naturelles zone tropicale arbre forestier écosystème allométrie modèle mathématique modèle de simulation bois énergie http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6825 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_34268 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_9000115 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_24962 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_37916 Soudan http://aims.fao.org/aos/agrovoc/c_7497 Allometric models are necessary for estimating biomass in terrestrial ecosystems. Generalized allometric relationship exists for many tropical trees, but species- and region-specific models are often lacking. We developed species-specific allometric models to predict aboveground biomass for 11 native tree species of the Sudanian savannawoodlands. Diameters at the base and at breast height, with species means ranging respectively from 11 to 28 cm and 9 to 19 cm, and the height of the trees were used as predictor variables. Sampled trees spanned a wide range of sizes including the largest sizes these species can reach. As a response variable, the biomass of the trees was obtained through destructive sampling of 4 754 trees during wood harvesting. We used a stepwise multiple regression analysis with backward elimination procedure to develop models separately predicting, total biomass of the trees, stem biomass, and biomass of branches and twigs. All speciesspecific regression models relating biomass with measured tree dimensions were highly significant (p < 0.001). The biomass of branches and twigs was less predictable compared to stem biomass and total biomass, although their models required fewer predictors and predictor interactions. The best-fit equations for total above-ground biomass and stem biomass had R2 > 0.70, except for the Acacia species; for branches including twig biomass, R2-values varied from 0.749 for Anogeissus leiocarpa to 0.183 for Acacia macrostachya. The use of these equations in estimating available biomass will avoid destructive sampling, and aid in planning for sustainable use of these species. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/557474/1/557474.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1007/s11676-010-0101-4 10.1007/s11676-010-0101-4 http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=209779 info:eu-repo/semantics/altIdentifier/doi/10.1007/s11676-010-0101-4 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1007/s11676-010-0101-4 |
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K10 - Production forestière U10 - Informatique, mathématiques et statistiques P06 - Sources d'énergie renouvelable biomasse savane mesure (activité) organisme indigène modélisation environnementale gestion des ressources naturelles zone tropicale arbre forestier écosystème allométrie modèle mathématique modèle de simulation bois énergie http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6825 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_34268 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_9000115 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_24962 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_7497 K10 - Production forestière U10 - Informatique, mathématiques et statistiques P06 - Sources d'énergie renouvelable biomasse savane mesure (activité) organisme indigène modélisation environnementale gestion des ressources naturelles zone tropicale arbre forestier écosystème allométrie modèle mathématique modèle de simulation bois énergie http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6825 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_34268 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_9000115 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_24962 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_7497 |
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K10 - Production forestière U10 - Informatique, mathématiques et statistiques P06 - Sources d'énergie renouvelable biomasse savane mesure (activité) organisme indigène modélisation environnementale gestion des ressources naturelles zone tropicale arbre forestier écosystème allométrie modèle mathématique modèle de simulation bois énergie http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6825 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_34268 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_9000115 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_24962 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_7497 K10 - Production forestière U10 - Informatique, mathématiques et statistiques P06 - Sources d'énergie renouvelable biomasse savane mesure (activité) organisme indigène modélisation environnementale gestion des ressources naturelles zone tropicale arbre forestier écosystème allométrie modèle mathématique modèle de simulation bois énergie http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6825 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_34268 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_9000115 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_24962 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_7497 Sawadogo, Louis Savadogo, Patrice Tiveau, Didier Djibril Dayamba, Sidzabda Zida, Didier Nouvellet, Yves Oden, Per Christer Guinko, Sita Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa |
description |
Allometric models are necessary for estimating biomass in terrestrial ecosystems. Generalized allometric relationship exists for many tropical trees, but species- and region-specific models are often lacking. We developed species-specific allometric models to predict aboveground biomass for 11 native tree species of the Sudanian savannawoodlands. Diameters at the base and at breast height, with species means ranging respectively from 11 to 28 cm and 9 to 19 cm, and the height of the trees were used as predictor variables. Sampled trees spanned a wide range of sizes including the largest sizes these species can reach. As a response variable, the biomass of the trees was obtained through destructive sampling of 4 754 trees during wood harvesting. We used a stepwise multiple regression analysis with backward elimination procedure to develop models separately predicting, total biomass of the trees, stem biomass, and biomass of branches and twigs. All speciesspecific regression models relating biomass with measured tree dimensions were highly significant (p < 0.001). The biomass of branches and twigs was less predictable compared to stem biomass and total biomass, although their models required fewer predictors and predictor interactions. The best-fit equations for total above-ground biomass and stem biomass had R2 > 0.70, except for the Acacia species; for branches including twig biomass, R2-values varied from 0.749 for Anogeissus leiocarpa to 0.183 for Acacia macrostachya. The use of these equations in estimating available biomass will avoid destructive sampling, and aid in planning for sustainable use of these species. |
format |
article |
topic_facet |
K10 - Production forestière U10 - Informatique, mathématiques et statistiques P06 - Sources d'énergie renouvelable biomasse savane mesure (activité) organisme indigène modélisation environnementale gestion des ressources naturelles zone tropicale arbre forestier écosystème allométrie modèle mathématique modèle de simulation bois énergie http://aims.fao.org/aos/agrovoc/c_926 http://aims.fao.org/aos/agrovoc/c_6825 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_34268 http://aims.fao.org/aos/agrovoc/c_9000056 http://aims.fao.org/aos/agrovoc/c_9000115 http://aims.fao.org/aos/agrovoc/c_7979 http://aims.fao.org/aos/agrovoc/c_3052 http://aims.fao.org/aos/agrovoc/c_2482 http://aims.fao.org/aos/agrovoc/c_24962 http://aims.fao.org/aos/agrovoc/c_24199 http://aims.fao.org/aos/agrovoc/c_24242 http://aims.fao.org/aos/agrovoc/c_37916 http://aims.fao.org/aos/agrovoc/c_7497 |
author |
Sawadogo, Louis Savadogo, Patrice Tiveau, Didier Djibril Dayamba, Sidzabda Zida, Didier Nouvellet, Yves Oden, Per Christer Guinko, Sita |
author_facet |
Sawadogo, Louis Savadogo, Patrice Tiveau, Didier Djibril Dayamba, Sidzabda Zida, Didier Nouvellet, Yves Oden, Per Christer Guinko, Sita |
author_sort |
Sawadogo, Louis |
title |
Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa |
title_short |
Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa |
title_full |
Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa |
title_fullStr |
Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa |
title_full_unstemmed |
Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa |
title_sort |
allometric prediction of above-ground biomass of eleven woody tree species in the sudanian savanna-woodland of west africa |
url |
http://agritrop.cirad.fr/557474/ http://agritrop.cirad.fr/557474/1/557474.pdf |
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