Tree allometry and improved estimation of carbon stocksand balance in tropical forests
Tropical forests hold large stores of carbon, yet uncertainty remains regarding their quantitative contribution to the global carbon cycle. One approach to quantifying carbon biomass stores consists in inferring changes from long-term forest inventory plots. Regression models are used to convert inventory data into an estimate of aboveground biomass (AGB). We provide a critical reassessment of the quality and the robustness of these models across tropical forest types, using a large dataset of 2,410 trees ≥ 5 cm diameter, directly harvested in 27 study sites across the tropics. Proportional relationships between aboveground biomass and the product of wood density, trunk cross-sectional area, and total height are constructed. We also develop a regression model involving wood density and stem diameter only. Our models were tested for secondary and old-growth forests, for dry, moist and wet forests, for lowland and montane forests, and for mangrove forests. The most important predictors of AGB of a tree were, in decreasing order of importance, its trunk diameter, wood specific gravity, total height, and forest type (dry, moist, or wet). Overestimates prevailed, giving a bias of 0.5–6.5% when errors were averaged across all stands. Our regression models can be used reliably to predict aboveground tree biomass across a broad range of tropical forests. Because they are based on an unprecedented dataset, these models should improve the quality of tropical biomass estimates, and bring consensus about the contribution of the tropical forest biome and tropical deforestation to the global carbon cycle.
Main Authors: | , , , , , , , , , , , , , , , |
---|---|
Format: | Texto biblioteca |
Language: | eng |
Published: |
Alemania Springer-Verlag
2005
|
Subjects: | BIOMASA, CARBONO, ALMACENAMIENTO, ALOMETRIA, MODELOS, BOSQUE TROPICAL, ARBOLES, MEDICION, INVENTARIOS FORESTALES, CICLO DEL CARBONO, MODELOS DE REGRESION, BIOMASA AEREA, ECUACIONES ALOMETRICAS, BIOMASS, CARBON, STORAGE, MODELS, TROPICAL FORESTS, TREES, MEASUREMENT, FOREST INVENTORIES, CARBON CYCLE, |
Online Access: | https://link.springer.com/article/10.1007/s00442-005-0100-x |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
KOHA-OAI-BVE:136307 |
---|---|
record_format |
koha |
institution |
IICA |
collection |
Koha |
country |
Costa Rica |
countrycode |
CR |
component |
Bibliográfico |
access |
En linea En linea |
databasecode |
cat-sibiica |
tag |
biblioteca |
region |
America Central |
libraryname |
Sistema de Bibliotecas IICA/CATIE |
language |
eng |
topic |
BIOMASA CARBONO ALMACENAMIENTO ALOMETRIA MODELOS BOSQUE TROPICAL ARBOLES MEDICION INVENTARIOS FORESTALES CICLO DEL CARBONO MODELOS DE REGRESION BIOMASA AEREA ECUACIONES ALOMETRICAS BIOMASS CARBON STORAGE MODELS TROPICAL FORESTS TREES MEASUREMENT FOREST INVENTORIES CARBON CYCLE BIOMASA CARBONO ALMACENAMIENTO ALOMETRIA MODELOS BOSQUE TROPICAL ARBOLES MEDICION INVENTARIOS FORESTALES CICLO DEL CARBONO MODELOS DE REGRESION BIOMASA AEREA ECUACIONES ALOMETRICAS BIOMASS CARBON STORAGE MODELS TROPICAL FORESTS TREES MEASUREMENT FOREST INVENTORIES CARBON CYCLE |
spellingShingle |
BIOMASA CARBONO ALMACENAMIENTO ALOMETRIA MODELOS BOSQUE TROPICAL ARBOLES MEDICION INVENTARIOS FORESTALES CICLO DEL CARBONO MODELOS DE REGRESION BIOMASA AEREA ECUACIONES ALOMETRICAS BIOMASS CARBON STORAGE MODELS TROPICAL FORESTS TREES MEASUREMENT FOREST INVENTORIES CARBON CYCLE BIOMASA CARBONO ALMACENAMIENTO ALOMETRIA MODELOS BOSQUE TROPICAL ARBOLES MEDICION INVENTARIOS FORESTALES CICLO DEL CARBONO MODELOS DE REGRESION BIOMASA AEREA ECUACIONES ALOMETRICAS BIOMASS CARBON STORAGE MODELS TROPICAL FORESTS TREES MEASUREMENT FOREST INVENTORIES CARBON CYCLE 56791 Chave, Jérôme Université Paul Sabatier, Tolouse, France 42664 Andalo, C. (autor/a) Université Paul Sabatier, Tolouse, France 51456 Brown, S (autor/a) 52703 Cairns, Michael A. (autor/a) 56358 Chambers, J.Q. (autor/a) 64244 Eamus, D. (autor/a) 69626 Fölster, H. (autor/a) 69290 Fromard, F. (autor/a) 78016 Higuchi, Niro (autor/a) 83170 Kira, T. (autor/a) 86211 Lescure, J.P. (autor/a) 98952 Nelson, Bruce W. (autor/a) 100570 Ogawa, H. (autor/a) 107120 Puig, H. (autor/a) 111314 Riéra, Bernard (autor/a) 349194 Yamakura, T. (autor/a) Tree allometry and improved estimation of carbon stocksand balance in tropical forests |
description |
Tropical forests hold large stores of carbon, yet uncertainty remains regarding their quantitative contribution to the global carbon cycle. One approach to quantifying carbon biomass stores consists in inferring changes from long-term forest inventory plots. Regression models are used to convert inventory data into an estimate of aboveground biomass (AGB). We provide a critical reassessment of the quality and the robustness of these models across tropical forest types, using a large dataset of 2,410 trees ≥ 5 cm diameter, directly harvested in 27 study sites across the tropics. Proportional relationships between aboveground biomass and the product of wood density, trunk cross-sectional area, and total height are constructed. We also develop a regression model involving wood density and stem diameter only. Our models were tested for secondary and old-growth forests, for dry, moist and wet forests, for lowland and montane forests, and for mangrove forests. The most important predictors of AGB of a tree were, in decreasing order of importance, its trunk diameter, wood specific gravity, total height, and forest type (dry, moist, or wet). Overestimates prevailed, giving a bias of 0.5–6.5% when errors were averaged across all stands. Our regression models can be used reliably to predict aboveground tree biomass across a broad range of tropical forests. Because they are based on an unprecedented dataset, these models should improve the quality of tropical biomass estimates, and bring consensus about the contribution of the tropical forest biome and tropical deforestation to the global carbon cycle. |
format |
Texto |
topic_facet |
BIOMASA CARBONO ALMACENAMIENTO ALOMETRIA MODELOS BOSQUE TROPICAL ARBOLES MEDICION INVENTARIOS FORESTALES CICLO DEL CARBONO MODELOS DE REGRESION BIOMASA AEREA ECUACIONES ALOMETRICAS BIOMASS CARBON STORAGE MODELS TROPICAL FORESTS TREES MEASUREMENT FOREST INVENTORIES CARBON CYCLE |
author |
56791 Chave, Jérôme Université Paul Sabatier, Tolouse, France 42664 Andalo, C. (autor/a) Université Paul Sabatier, Tolouse, France 51456 Brown, S (autor/a) 52703 Cairns, Michael A. (autor/a) 56358 Chambers, J.Q. (autor/a) 64244 Eamus, D. (autor/a) 69626 Fölster, H. (autor/a) 69290 Fromard, F. (autor/a) 78016 Higuchi, Niro (autor/a) 83170 Kira, T. (autor/a) 86211 Lescure, J.P. (autor/a) 98952 Nelson, Bruce W. (autor/a) 100570 Ogawa, H. (autor/a) 107120 Puig, H. (autor/a) 111314 Riéra, Bernard (autor/a) 349194 Yamakura, T. (autor/a) |
author_facet |
56791 Chave, Jérôme Université Paul Sabatier, Tolouse, France 42664 Andalo, C. (autor/a) Université Paul Sabatier, Tolouse, France 51456 Brown, S (autor/a) 52703 Cairns, Michael A. (autor/a) 56358 Chambers, J.Q. (autor/a) 64244 Eamus, D. (autor/a) 69626 Fölster, H. (autor/a) 69290 Fromard, F. (autor/a) 78016 Higuchi, Niro (autor/a) 83170 Kira, T. (autor/a) 86211 Lescure, J.P. (autor/a) 98952 Nelson, Bruce W. (autor/a) 100570 Ogawa, H. (autor/a) 107120 Puig, H. (autor/a) 111314 Riéra, Bernard (autor/a) 349194 Yamakura, T. (autor/a) |
author_sort |
56791 Chave, Jérôme Université Paul Sabatier, Tolouse, France |
title |
Tree allometry and improved estimation of carbon stocksand balance in tropical forests |
title_short |
Tree allometry and improved estimation of carbon stocksand balance in tropical forests |
title_full |
Tree allometry and improved estimation of carbon stocksand balance in tropical forests |
title_fullStr |
Tree allometry and improved estimation of carbon stocksand balance in tropical forests |
title_full_unstemmed |
Tree allometry and improved estimation of carbon stocksand balance in tropical forests |
title_sort |
tree allometry and improved estimation of carbon stocksand balance in tropical forests |
publisher |
Alemania Springer-Verlag |
publishDate |
2005 |
url |
https://link.springer.com/article/10.1007/s00442-005-0100-x |
work_keys_str_mv |
AT 56791chavejeromeuniversitepaulsabatiertolousefrance treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 42664andalocautorauniversitepaulsabatiertolousefrance treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 51456brownsautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 52703cairnsmichaelaautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 56358chambersjqautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 64244eamusdautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 69626folsterhautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 69290fromardfautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 78016higuchiniroautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 83170kiratautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 86211lescurejpautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 98952nelsonbrucewautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 100570ogawahautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 107120puighautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 111314rierabernardautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests AT 349194yamakuratautora treeallometryandimprovedestimationofcarbonstocksandbalanceintropicalforests |
_version_ |
1756066229534064641 |
spelling |
KOHA-OAI-BVE:1363072022-04-14T04:24:09ZTree allometry and improved estimation of carbon stocksand balance in tropical forests 56791 Chave, Jérôme Université Paul Sabatier, Tolouse, France 42664 Andalo, C. (autor/a) Université Paul Sabatier, Tolouse, France 51456 Brown, S (autor/a) 52703 Cairns, Michael A. (autor/a) 56358 Chambers, J.Q. (autor/a) 64244 Eamus, D. (autor/a) 69626 Fölster, H. (autor/a) 69290 Fromard, F. (autor/a) 78016 Higuchi, Niro (autor/a) 83170 Kira, T. (autor/a) 86211 Lescure, J.P. (autor/a) 98952 Nelson, Bruce W. (autor/a) 100570 Ogawa, H. (autor/a) 107120 Puig, H. (autor/a) 111314 Riéra, Bernard (autor/a) 349194 Yamakura, T. (autor/a) textAlemania Springer-Verlag2005engpdfTropical forests hold large stores of carbon, yet uncertainty remains regarding their quantitative contribution to the global carbon cycle. One approach to quantifying carbon biomass stores consists in inferring changes from long-term forest inventory plots. Regression models are used to convert inventory data into an estimate of aboveground biomass (AGB). We provide a critical reassessment of the quality and the robustness of these models across tropical forest types, using a large dataset of 2,410 trees ≥ 5 cm diameter, directly harvested in 27 study sites across the tropics. Proportional relationships between aboveground biomass and the product of wood density, trunk cross-sectional area, and total height are constructed. We also develop a regression model involving wood density and stem diameter only. Our models were tested for secondary and old-growth forests, for dry, moist and wet forests, for lowland and montane forests, and for mangrove forests. The most important predictors of AGB of a tree were, in decreasing order of importance, its trunk diameter, wood specific gravity, total height, and forest type (dry, moist, or wet). Overestimates prevailed, giving a bias of 0.5–6.5% when errors were averaged across all stands. Our regression models can be used reliably to predict aboveground tree biomass across a broad range of tropical forests. Because they are based on an unprecedented dataset, these models should improve the quality of tropical biomass estimates, and bring consensus about the contribution of the tropical forest biome and tropical deforestation to the global carbon cycle.Bibliografía páginas 98-99Tropical forests hold large stores of carbon, yet uncertainty remains regarding their quantitative contribution to the global carbon cycle. One approach to quantifying carbon biomass stores consists in inferring changes from long-term forest inventory plots. Regression models are used to convert inventory data into an estimate of aboveground biomass (AGB). We provide a critical reassessment of the quality and the robustness of these models across tropical forest types, using a large dataset of 2,410 trees ≥ 5 cm diameter, directly harvested in 27 study sites across the tropics. Proportional relationships between aboveground biomass and the product of wood density, trunk cross-sectional area, and total height are constructed. We also develop a regression model involving wood density and stem diameter only. Our models were tested for secondary and old-growth forests, for dry, moist and wet forests, for lowland and montane forests, and for mangrove forests. The most important predictors of AGB of a tree were, in decreasing order of importance, its trunk diameter, wood specific gravity, total height, and forest type (dry, moist, or wet). Overestimates prevailed, giving a bias of 0.5–6.5% when errors were averaged across all stands. Our regression models can be used reliably to predict aboveground tree biomass across a broad range of tropical forests. Because they are based on an unprecedented dataset, these models should improve the quality of tropical biomass estimates, and bring consensus about the contribution of the tropical forest biome and tropical deforestation to the global carbon cycle.BIOMASA CARBONOALMACENAMIENTOALOMETRIA MODELOSBOSQUE TROPICALARBOLESMEDICIONINVENTARIOS FORESTALESCICLO DEL CARBONOMODELOS DE REGRESIONBIOMASA AEREAECUACIONES ALOMETRICASBIOMASSCARBONSTORAGEMODELSTROPICAL FORESTSTREESMEASUREMENTFOREST INVENTORIESCARBON CYCLEhttps://link.springer.com/article/10.1007/s00442-005-0100-x |