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No. de sistema: 000038481

LDR _ _ 00000nab^^22^^^^^za^4500
008 _ _ 060113m20019999ne^mr^p^^^^^^z0^^^a0eng^d
040 _ _ a| ECO
c| ECO
043 _ _ a| n-mx-cp
044 _ _ a| ne
084 _ _ a| AR/634.928097275
b| D45
100 1 _ a| De Jong, Bernardus Hendricus Jozeph
245 1 0 a| Uncertainties in estimating the potential for carbon mitigation of forest management
520 1 _ a| Forestry and agroforestry are promising land use alternatives for reducing the increasing concentrations of global atmospheric carbon (C). Various methodological approaches to estimate the impact of forestry and agroforestry on C fluxes have been proposed. Uncertainties are inevitable in any estimate of greenhouse gas (GHG) dynamics, caused by differing interpretations of source and sink category or other definitions, assumptions, and units, the use of simplified representations with averaged values, uncertainty in the basic socioeconomic activity data that drive the calculations, and inherent uncertainty in the scientific understanding of the basic processes leading to emissions and removals. In this study, a proposal of a forest management project was used to identify the main sources of uncertainties in the calculation of the GHG-offset impact. Errors in the calculations were related to (i) classification of land-use/land-cover (LU/LC) types, with observed differences of up to around 8% in land cover estimates, (ii) estimation of C stocks within each LU/LC type, with errors varying from around 13 to 34% in total C stock, (iii) historical evidence of LU/LC changes and related GHG fluxes applied in baselines, giving rise to uncertainties of up to about 16%, whereas varying baseline assumptions produced differences between 31 and 73% in the C mitigation calculations, with levels of uncertainty of up to 74%, and (iv) variation in parameter values to calculate C fluxes generated uncertainties of up to around 10%.
650 _ 4 a| Evaluación del impacto ambiental
650 _ 4 a| Ordenación forestal
650 _ 4 a| Carbono
650 _ 4 a| Cambio climático
651 _ 4 a| Región Altos (Chiapas, México)
651 _ 4 a| Juznajab La Laguna, Comitán de Domínguez (Chiapas, México)
773 0 _
t| Forest Ecology and Management
g| Vol. 154, no. 1-2 (November 2001), p. 85-104
x| 0378-1127
901 _ _ a| Artículo con arbitraje
902 _ _ a| AMGR/DIMT/GOG
904 _ _ a| Enero 2006
905 _ _ a| Artecosur
905 _ _ a| Artfrosur
905 _ _ a| Servibosques
905 _ _ a| CRIIS
905 _ _ a| Biblioelectrónica
LNG eng
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Uncertainties in estimating the potential for carbon mitigation of forest management
De Jong, Bernardus Hendricus Jozeph (autor)
Clasificación: AR/634.928097275/D45
Contenido en: Forest Ecology and Management. Vol. 154, no. 1-2 (November 2001), p. 85-104. ISSN: 0378-1127
Bibliotecas:
Campeche , Chetumal , San Cristóbal , Tapachula , Villahermosa
No. de sistema: 38481
Tipo: - Artículo con arbitraje


Inglés

"Forestry and agroforestry are promising land use alternatives for reducing the increasing concentrations of global atmospheric carbon (C). Various methodological approaches to estimate the impact of forestry and agroforestry on C fluxes have been proposed. Uncertainties are inevitable in any estimate of greenhouse gas (GHG) dynamics, caused by differing interpretations of source and sink category or other definitions, assumptions, and units, the use of simplified representations with averaged values, uncertainty in the basic socioeconomic activity data that drive the calculations, and inherent uncertainty in the scientific understanding of the basic processes leading to emissions and removals. In this study, a proposal of a forest management project was used to identify the main sources of uncertainties in the calculation of the GHG-offset impact. Errors in the calculations were related to (i) classification of land-use/land-cover (LU/LC) types, with observed differences of up to around 8% in land cover estimates, (ii) estimation of C stocks within each LU/LC type, with errors varying from around 13 to 34% in total C stock, (iii) historical evidence of LU/LC changes and related GHG fluxes applied in baselines, giving rise to uncertainties of up to about 16%, whereas varying baseline assumptions produced differences between 31 and 73% in the C mitigation calculations, with levels of uncertainty of up to 74%, and (iv) variation in parameter values to calculate C fluxes generated uncertainties of up to around 10%."

SIBE Campeche
Codigo de barra
Estado
Colección
ECO040003783
(Disponible)
Artículos de investigación ECOSUR
SIBE Chetumal
Codigo de barra
Estado
Colección
ECO030001495
(Disponible)
Artículos de investigación ECOSUR
SIBE San Cristóbal
Codigo de barra
Estado
Colección
ECO010011077
(Disponible)
Artículos de investigación ECOSUR
SIBE Tapachula
Codigo de barra
Estado
Colección
ECO020008738
(Disponible)
Artículos de investigación ECOSUR
SIBE Villahermosa
Codigo de barra
Estado
Colección
ECO050002856
(Disponible)
Artículos de investigación ECOSUR