Estimating net primary productivity in tropical forest plantations in India using satellite-driven ecosystem model |
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| Authors: | Poonam Tripathi N R Patel S P S Kushwaha |
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| Institution: | 1. Centre for Oceans, Rivers, Atmosphere and Land Sciences (CORAL), Indian Institute of Technology Kharagpur, Kharagpur, India;2. Agriculture and Soil Department, Indian Institute of Remote Sensing, Dehradun, India;3. Indian Institute of Remote Sensing, ISRO, Dehradun, India |
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| Abstract: | 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. |
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| Keywords: | CASA model net primary productivity GLM plantations TCFD |
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