Estimating the spatial distribution of woody biomass suitable for charcoal making from remote sensing and geostatistics in central Mexico
Por:
Castillo-Santiago M.Á., Ghilardi A., Oyama K., Hernández-Stefanoni J.L., Torres I., Flamenco-Sandoval A., Fernández A., Mas, JF
Publicada:
1 abr 2013
Resumen:
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 (4033km2). Diameters of trees and sprouts in 78 plots of 0.2ha 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 9.77t 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. © 2012 International Energy Initiative.
Filiaciones:
Castillo-Santiago M.Á.:
Laboratorio de Análisis de Información Geográfica y Estadística, El Colegio de la Frontera Sur, Carretera Panamericana y Periférico sur s/n, San Cristóbal de las Casas CP 29290, Chiapas, Mexico
Ghilardi A.:
Univ Nacl Autonoma Mexico, CIGA, Morelia 58190, Michoacan, Mexico
Oyama K.:
Univ Nacl Autonoma Mexico, CIEco, Morelia 58190, Michoacan, Mexico
Hernández-Stefanoni J.L.:
Unidad de Recursos Naturales, Centro de Investigación Científica de Yucatán A.C., Calle 43 # 130, Mérida CP 97200, Yucatán, Mexico
Torres I.:
Univ Nacl Autonoma Mexico, CIEco, Morelia 58190, Michoacan, Mexico
Flamenco-Sandoval A.:
Departamento de Ingeniería Geomática e Hidráulica, Universidad de Guanajuato, Av Juárez 77, Guanajuato CP 36000, Guanajuato, Mexico
Fernández A.:
Univ Nacl Autonoma Mexico, CIGA, Morelia 58190, Michoacan, Mexico
Mas, JF:
Univ Nacl Autonoma Mexico, CIGA, Morelia 58190, Michoacan, Mexico
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