%0 Generic %A Tripathi, Poonam %A Patel, N. R. %A Kushwaha, S. P. S. %D 2017 %T Estimating net primary productivity in tropical forest plantations in India using satellite-driven ecosystem model %U https://tandf.figshare.com/articles/dataset/Estimating_net_primary_productivity_in_tropical_forest_plantations_in_India_using_satellite-driven_ecosystem_model/4986458 %R 10.6084/m9.figshare.4986458.v2 %2 https://ndownloader.figshare.com/files/8447168 %2 https://ndownloader.figshare.com/files/8447171 %2 https://ndownloader.figshare.com/files/8447174 %2 https://ndownloader.figshare.com/files/8447177 %2 https://ndownloader.figshare.com/files/8394068 %K CASA model %K net primary productivity %K GLM %K plantations %K TCFD %K NPP: Net Primary Productivity %K LUE: Light Use Efficiency %K PAR: Photosynthetically Active Radiation %K GLM: generalized linear equation modelling %X

Net Primary Productivity (NPP) is a significant biophysical vegetation variable to understand the spatio-temporal distribution of carbon and source-sink nature of the ecosystem. This study was carried out in a forest plantation area and aimed to (i) estimate the spatio-temporal patterns of NPP during 2009 and 2010 using Carnegie-Ames-Stanford Approach [CASA] model and (ii) study the effects of climate variables on the NPP using generalized linear modelling (GLM) approach. The total annual NPP varied from 157.21 to 1030.89 gC m−2 yr−1 for the year 2009 and from 154.36 to 1124.85 g C m−2 yr−1 for the year 2010. The annual NPP was assessed across four major plantation types, where maximum NPP gain (106 and 139 g C m−2 yr−1 ) in October was noticed in teak (Tectona grandis) and minimum (77 and 109 g C m−2 yr−1 ) in eucalyptus (Eucalyptus hybrid) during 2009 and 2010.The validation, using field-estimated NPP, showed under-estimation of modelled NPP, with maximum MAPE of 34% for eucalyptus and minimum of 13% for teak. The dominant influence of precipitation on the NPP was revealed by GLM explaining more than 20% of variation. CASA model efficiently estimated the annual NPP of plantations. The accuracy could be improved further with inclusion of higher resolution data.

%I Taylor & Francis