1Universidad Juárez del Estado de Durango, Venecia, Municipio de Gómez Palacio, Durango, México
2Centro Interdisciplinario de Investigación para el Desarrollo Integral Regional-Instituto Politécnico Nacional. Unidad Durango, México.
*Corresponding author e-mail: ulisesnoelg@yahoo.com.mx
Online published on 28 February, 2018.
The accurate and rapid estimation of biomass is important for the management of rangelands. The objective of this study was to find regression models to predict aerial biomass at a grassland site in the state of Durango, Mexico. For this purpose, samples of above ground biomass and normalized difference vegetation index values were obtained from two sources (NDVIfield radiometer and NDVI-MODIS) during the growing season of 2011 and 2013. Using 2011 data (n=180), the model Ln (Y) = β0 + β1X + β2X2 was found with the NDVIfield radiometer, R2 = 0.54, and Yγ0.3 = β0 + β1X + β2X2 with NDVI-MODIS, R2 = 0.81. Model validations were carried out comparing regression coefficients of 2011 and 2013 models, there was not significant difference with t (P>0.05). However, model with NDVI-MODIS had 77 outliers; therefore any prediction must be considered cautiously.
Biomass, Field radiometer, MODIS, NDVI models