Allometric equations for estimating biomass in agricultural landscapes : I. Aboveground biomass

Meeting the reducing emissions from deforestation and degradation (REDD) framework demands stringent carbon measuring, reporting and verifying methods. In most cases, estimates of aboveground carbon stocks rely on allometric equations. Although generic and species-specific allometries have been developed for conventional areas such as forests, their use in agricultural landscapes is questionable as agricultural trees are typically managed and rarely mono-specific. Therefore, there is a need to develop a robust generic allometry that accounts for the heterogeneity of tree diversity throughout the landscape. Allometric equations were developed from empirical destructive sampling of 72 trees (diameter at breast height (dbh): 3–102 cm) from three 100 km2 benchmark sites in Western Kenya. Diameter at breast height alone provided reliable prediction for aboveground biomass (17 ± 0.02 Mg C ha−1) with >95% accuracy. Published equations overestimated landscape biomass due to errors in either smaller trees (dbh <10 cm) which dominate the landscape (66%) or the few larger trees (dbh >40 cm) which constitute 3% of all the trees but hold most of the biomass (48%). The apparently small differences in the equations for small trees could add up to a large amount of carbon when looking at a landscape. This study recommends diameter as the basis for assessing tree biomass in Western Kenyan agricultural mosaics. The equations developed are a useful tool for assessing the potential for carbon sequestration in agricultural landscapes and represent key information for scaling biomass estimates for entire landscapes.

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Main Authors: 84314 Kuyah, Shem World Agroforestry Centre (ICRAF), Nairobi, Kenya, 62658 Dietz, Johannes (autor/a) World Agroforestry Centre (ICRAF), Lima, Peru, 97768 Muthuri, Catherine (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya, 80428 Jamnadass, Ramni (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya, 97961 Mwangi, Peter (autor/a) Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya, 58193 Coe, Richard (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya, Neufeldt, Henry World Agroforestry Centre (ICRAF), Nairobi, Kenya
Format: Texto biblioteca
Language:eng
Published: Amsterdam Elsevier 2012
Subjects:BIOMASA, CARBONO, ALMACENAMIENTO, PAISAJE AGRICOLA, ALOMETRIA, DENDROMETRIA, MODELOS MATEMATICOS, ARBOLES, MEDICION, SECUESTRO DE CARBONO, BIOMASA AEREA, ECUACIONES ALOMETRICAS, MODELOS DE REGRESION,
Online Access:https://www.sciencedirect.com/science/article/abs/pii/S0167880912001892
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countrycode CR
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tag biblioteca
region America Central
libraryname Sistema de Bibliotecas IICA/CATIE
language eng
topic BIOMASA
CARBONO
ALMACENAMIENTO
PAISAJE AGRICOLA
ALOMETRIA
DENDROMETRIA
MODELOS MATEMATICOS
ARBOLES
MEDICION
SECUESTRO DE CARBONO
BIOMASA AEREA
ECUACIONES ALOMETRICAS
MODELOS DE REGRESION
BIOMASA
CARBONO
ALMACENAMIENTO
PAISAJE AGRICOLA
ALOMETRIA
DENDROMETRIA
MODELOS MATEMATICOS
ARBOLES
MEDICION
SECUESTRO DE CARBONO
BIOMASA AEREA
ECUACIONES ALOMETRICAS
MODELOS DE REGRESION
spellingShingle BIOMASA
CARBONO
ALMACENAMIENTO
PAISAJE AGRICOLA
ALOMETRIA
DENDROMETRIA
MODELOS MATEMATICOS
ARBOLES
MEDICION
SECUESTRO DE CARBONO
BIOMASA AEREA
ECUACIONES ALOMETRICAS
MODELOS DE REGRESION
BIOMASA
CARBONO
ALMACENAMIENTO
PAISAJE AGRICOLA
ALOMETRIA
DENDROMETRIA
MODELOS MATEMATICOS
ARBOLES
MEDICION
SECUESTRO DE CARBONO
BIOMASA AEREA
ECUACIONES ALOMETRICAS
MODELOS DE REGRESION
84314 Kuyah, Shem World Agroforestry Centre (ICRAF), Nairobi, Kenya
62658 Dietz, Johannes (autor/a) World Agroforestry Centre (ICRAF), Lima, Peru
97768 Muthuri, Catherine (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
80428 Jamnadass, Ramni (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
97961 Mwangi, Peter (autor/a) Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya
58193 Coe, Richard (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
Neufeldt, Henry World Agroforestry Centre (ICRAF), Nairobi, Kenya
Allometric equations for estimating biomass in agricultural landscapes : I. Aboveground biomass
description Meeting the reducing emissions from deforestation and degradation (REDD) framework demands stringent carbon measuring, reporting and verifying methods. In most cases, estimates of aboveground carbon stocks rely on allometric equations. Although generic and species-specific allometries have been developed for conventional areas such as forests, their use in agricultural landscapes is questionable as agricultural trees are typically managed and rarely mono-specific. Therefore, there is a need to develop a robust generic allometry that accounts for the heterogeneity of tree diversity throughout the landscape. Allometric equations were developed from empirical destructive sampling of 72 trees (diameter at breast height (dbh): 3–102 cm) from three 100 km2 benchmark sites in Western Kenya. Diameter at breast height alone provided reliable prediction for aboveground biomass (17 ± 0.02 Mg C ha−1) with >95% accuracy. Published equations overestimated landscape biomass due to errors in either smaller trees (dbh <10 cm) which dominate the landscape (66%) or the few larger trees (dbh >40 cm) which constitute 3% of all the trees but hold most of the biomass (48%). The apparently small differences in the equations for small trees could add up to a large amount of carbon when looking at a landscape. This study recommends diameter as the basis for assessing tree biomass in Western Kenyan agricultural mosaics. The equations developed are a useful tool for assessing the potential for carbon sequestration in agricultural landscapes and represent key information for scaling biomass estimates for entire landscapes.
format Texto
topic_facet BIOMASA
CARBONO
ALMACENAMIENTO
PAISAJE AGRICOLA
ALOMETRIA
DENDROMETRIA
MODELOS MATEMATICOS
ARBOLES
MEDICION
SECUESTRO DE CARBONO
BIOMASA AEREA
ECUACIONES ALOMETRICAS
MODELOS DE REGRESION
author 84314 Kuyah, Shem World Agroforestry Centre (ICRAF), Nairobi, Kenya
62658 Dietz, Johannes (autor/a) World Agroforestry Centre (ICRAF), Lima, Peru
97768 Muthuri, Catherine (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
80428 Jamnadass, Ramni (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
97961 Mwangi, Peter (autor/a) Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya
58193 Coe, Richard (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
Neufeldt, Henry World Agroforestry Centre (ICRAF), Nairobi, Kenya
author_facet 84314 Kuyah, Shem World Agroforestry Centre (ICRAF), Nairobi, Kenya
62658 Dietz, Johannes (autor/a) World Agroforestry Centre (ICRAF), Lima, Peru
97768 Muthuri, Catherine (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
80428 Jamnadass, Ramni (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
97961 Mwangi, Peter (autor/a) Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya
58193 Coe, Richard (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya
Neufeldt, Henry World Agroforestry Centre (ICRAF), Nairobi, Kenya
author_sort 84314 Kuyah, Shem World Agroforestry Centre (ICRAF), Nairobi, Kenya
title Allometric equations for estimating biomass in agricultural landscapes : I. Aboveground biomass
title_short Allometric equations for estimating biomass in agricultural landscapes : I. Aboveground biomass
title_full Allometric equations for estimating biomass in agricultural landscapes : I. Aboveground biomass
title_fullStr Allometric equations for estimating biomass in agricultural landscapes : I. Aboveground biomass
title_full_unstemmed Allometric equations for estimating biomass in agricultural landscapes : I. Aboveground biomass
title_sort allometric equations for estimating biomass in agricultural landscapes : i. aboveground biomass
publisher Amsterdam Elsevier
publishDate 2012
url https://www.sciencedirect.com/science/article/abs/pii/S0167880912001892
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spelling KOHA-OAI-BVE:1362912023-07-20T21:41:17ZAllometric equations for estimating biomass in agricultural landscapes : I. Aboveground biomass 84314 Kuyah, Shem World Agroforestry Centre (ICRAF), Nairobi, Kenya 62658 Dietz, Johannes (autor/a) World Agroforestry Centre (ICRAF), Lima, Peru 97768 Muthuri, Catherine (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya 80428 Jamnadass, Ramni (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya 97961 Mwangi, Peter (autor/a) Jomo Kenyatta University of Agriculture and Technology (JKUAT), Nairobi, Kenya 58193 Coe, Richard (autor/a) World Agroforestry Centre (ICRAF), Nairobi, Kenya Neufeldt, Henry World Agroforestry Centre (ICRAF), Nairobi, Kenya textAmsterdam Elsevier2012enghttpMeeting the reducing emissions from deforestation and degradation (REDD) framework demands stringent carbon measuring, reporting and verifying methods. In most cases, estimates of aboveground carbon stocks rely on allometric equations. Although generic and species-specific allometries have been developed for conventional areas such as forests, their use in agricultural landscapes is questionable as agricultural trees are typically managed and rarely mono-specific. Therefore, there is a need to develop a robust generic allometry that accounts for the heterogeneity of tree diversity throughout the landscape. Allometric equations were developed from empirical destructive sampling of 72 trees (diameter at breast height (dbh): 3–102 cm) from three 100 km2 benchmark sites in Western Kenya. Diameter at breast height alone provided reliable prediction for aboveground biomass (17 ± 0.02 Mg C ha−1) with >95% accuracy. Published equations overestimated landscape biomass due to errors in either smaller trees (dbh <10 cm) which dominate the landscape (66%) or the few larger trees (dbh >40 cm) which constitute 3% of all the trees but hold most of the biomass (48%). The apparently small differences in the equations for small trees could add up to a large amount of carbon when looking at a landscape. This study recommends diameter as the basis for assessing tree biomass in Western Kenyan agricultural mosaics. The equations developed are a useful tool for assessing the potential for carbon sequestration in agricultural landscapes and represent key information for scaling biomass estimates for entire landscapes.30 referencias bibliográficas en las páginas 223-224Meeting the reducing emissions from deforestation and degradation (REDD) framework demands stringent carbon measuring, reporting and verifying methods. In most cases, estimates of aboveground carbon stocks rely on allometric equations. Although generic and species-specific allometries have been developed for conventional areas such as forests, their use in agricultural landscapes is questionable as agricultural trees are typically managed and rarely mono-specific. Therefore, there is a need to develop a robust generic allometry that accounts for the heterogeneity of tree diversity throughout the landscape. Allometric equations were developed from empirical destructive sampling of 72 trees (diameter at breast height (dbh): 3–102 cm) from three 100 km2 benchmark sites in Western Kenya. Diameter at breast height alone provided reliable prediction for aboveground biomass (17 ± 0.02 Mg C ha−1) with >95% accuracy. Published equations overestimated landscape biomass due to errors in either smaller trees (dbh <10 cm) which dominate the landscape (66%) or the few larger trees (dbh >40 cm) which constitute 3% of all the trees but hold most of the biomass (48%). The apparently small differences in the equations for small trees could add up to a large amount of carbon when looking at a landscape. This study recommends diameter as the basis for assessing tree biomass in Western Kenyan agricultural mosaics. The equations developed are a useful tool for assessing the potential for carbon sequestration in agricultural landscapes and represent key information for scaling biomass estimates for entire landscapes.BIOMASA CARBONOALMACENAMIENTOPAISAJE AGRICOLAALOMETRIADENDROMETRIAMODELOS MATEMATICOSARBOLESMEDICIONSECUESTRO DE CARBONOBIOMASA AEREAECUACIONES ALOMETRICASMODELOS DE REGRESIONAgriculture, Ecosystems and Environmenthttps://www.sciencedirect.com/science/article/abs/pii/S0167880912001892