Cerrar

No. de sistema: 000035836

LDR _ _ 00000nab^^22^^^^^za^4500
008 _ _ 130301m20139999ne^br^p^s^^^^z0^^^a0eng^d
040 _ _ a| ECO
c| ECO
043 _ _ a| n-mx-mi
044 _ _ a| ne
245 0 0 a| Estimating the spatial distribution of woody biomass suitable for charcoal making from remote sensing and geostatistics in central Mexico
520 1 _ a| We present a cost-effective statistical approach that integrates satellite imagery, environmental variables and ground inventory data to map the spatial distribution of aboveground woody biomass suitable for charcoal making. The study was conducted in the Cuitzeo basin located in central Mexico, where charcoal is produced from oak forests covering approximately 10% of the total area (4033 km2). Diameters of trees and sprouts in 78 plots of 0.2 ha each was measured. Allometric equations previously developed locally that only require tree diameters were employed to estimate the amount of woody biomass suitable for charcoal making i.e. the amount of wood that is loaded into the kilns. The performance of two statistical techniques for the interpolation of field data was assessed by cross-validation; these techniques were linear regression and regression-kriging, the second taking into account the spatial autocorrelation of data. Spectral bands, vegetation indices, texture measurements and variables derived from a Digital Elevation Model were examined as explanatory variables. Accounting for spatial autocorrelation (regression-kriging) improved the model's R2 from 0.61 to 0.69, representing a relative error reduction of 11.3% (from 11.01 to 9.77 t ha− 1 of wood suitable for charcoal). The available stock was compared to current estimates of charcoal demand in the Cuitzeo basin and insights were given on how this information can be used to estimate the annual sustainable production potential of oak in order to account for supply–demand balances.
533 _ _ a| Reproducción electrónica en formato PDF
538 _ _ a| Adobe Acrobat profesional 6.0 o superior
650 _ 4 a| Robles
650 _ 4 a| Pinos
650 _ 4 a| Carbón vegetal
650 _ 4 a| Biomasa forestal
650 _ 4 a| Distribución geográfica
651 _ 4 a| Cuitzeo (Michoacán, México)
700 1 _ a| Castillo Santiago, Miguel Ángel
e| autor
700 1 _ a| Ghilardi, Adrián
e| aut
700 1 _ a| Oyama, Ken
e| coaut.
700 1 _ a| Hernández Stefanoni, José Luis
e| coaut.
n| 8521370100
700 1 _ a| Torres, Ignacio
e| coaut.
700 1 _ a| Flamenco Sandoval, Alejandro Fidel
e| coaut.
700 1 _ a| Fernández, Ana María
d| 1944-
e| coaut.
700 1 _ a| Mas, Jean François
e| coaut.
773 0 _
t| Energy for Sustainable Development
g| Vol. 17, no. 2 (April 2013), p. 177–188
x| 0973-0826
900 _ _ a| En hemeroteca, SIBE-San Cristóbal-Samples
901 _ _ a| Artículo con arbitraje
902 _ _ a| GOG / MM
904 _ _ a| Marzo 2013
905 _ _ a| Artecosur
905 _ _ a| Biblioelectrónica
905 _ _ a| Servibosques
LNG eng
Cerrar
*En hemeroteca, SIBE-San Cristóbal-Samples
Estimating the spatial distribution of woody biomass suitable for charcoal making from remote sensing and geostatistics in central Mexico
Castillo Santiago, Miguel Ángel (autor)
Ghilardi, Adrián (aut)
Oyama, Ken (autor)
Hernández Stefanoni, José Luis (autor)
Torres, Ignacio (autor)
Flamenco Sandoval, Alejandro Fidel (autor)
Fernández, Ana María, 1944- (autor)
Mas, Jean François (autor)
Contenido en: Energy for Sustainable Development. Vol. 17, no. 2 (April 2013), p. 177–188. ISSN: 0973-0826
Bibliotecas:
San Cristóbal
No. de sistema: 35836
Tipo: - Artículo con arbitraje
  • Consulta (1)




Inglés

"We present a cost-effective statistical approach that integrates satellite imagery, environmental variables and ground inventory data to map the spatial distribution of aboveground woody biomass suitable for charcoal making. The study was conducted in the Cuitzeo basin located in central Mexico, where charcoal is produced from oak forests covering approximately 10% of the total area (4033 km2). Diameters of trees and sprouts in 78 plots of 0.2 ha each was measured. Allometric equations previously developed locally that only require tree diameters were employed to estimate the amount of woody biomass suitable for charcoal making i.e. the amount of wood that is loaded into the kilns. The performance of two statistical techniques for the interpolation of field data was assessed by cross-validation; these techniques were linear regression and regression-kriging, the second taking into account the spatial autocorrelation of data. Spectral bands, vegetation indices, texture measurements and variables derived from a Digital Elevation Model were examined as explanatory variables. Accounting for spatial autocorrelation (regression-kriging) improved the model's R2 from 0.61 to 0.69, representing a relative error reduction of 11.3% (from 11.01 to 9.77 t ha− 1 of wood suitable for charcoal). The available stock was compared to current estimates of charcoal demand in the Cuitzeo basin and insights were given on how this information can be used to estimate the annual sustainable production potential of oak in order to account for supply–demand balances."

SIBE San Cristóbal
Codigo de barra
Estado
Colección
35836-20
(Disponible)
Artículos de investigación ECOSUR

  • Adobe Acrobat profesional 6.0 o superior