Volume No. 10 Issue No.: 4 Page No.: 635-647 April-June 2016

 

ANALYSIS OF BIOMASS AND NET PRIMARY PRODUCTIVITY IN DRY TROPICAL FOREST USING SATELLITE DATA

 

Thakur T. K.

Department of Environmental Science, Indira Gandhi National Tribal University (IGNTU),
Amarkantak, Madhya Pradesh (INDIA)

 

Received on : January 20, 2016

 

ABSTRACT

 

The present study was carried out to characterize the land use, biomass and net primary productivity, in dry tropical forest ecosystem in Barnawpara Sanctuary, Raipur district of Chhattisgarh, India through satellite remote sensing techniques and GIS. Land cover and vegetation were spatially analyzed by digitally classifying IRS 1D LISS III satellite data using maximum likelihood algorithm. Later, the variations in biomass, NPP in different forest types/classes were quantified by adopting quadratic sampling procedures. Trees and shrubs in sampling quadrates in each forest types were enumerated for their gbh and height. The aspect and slope of the sites influenced the forest vegetation types, biomass and NPP in different forests. The standing biomass and net production varied from 18.65 to 101.48 Mg ha-1 and 5.28 to 12.73 Mg ha-1 yr-1, respectively among different forest types. The highest biomass was found in dense mixed forest, while net production was highest in teak forests. Both were lowest in degraded mixed forests in different forest types. The standing biomass present in the dense mixed forest is 321464.28 Mg, teak forest is 195741.75 Mg, sal mixed forest is 72680.89 Mg, open mixed forest is 266279.68 Mg and degraded mixed forest is 42996.08 Mg. They were highest in dense mixed forest and lowest in degraded mixed forest. The study also developed reliable regression model for the estimation of biomass, NPP in dry tropical forests by using NDVI and different vegetation indices, which can be derived from fine resolution satellite data.

 

Keywords : Vegetation, Biomass, Fine root biomass, NPP, Satellite data

 

 

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