首页|QUANTIFYING GROSS PRIMARY PRODUCTIVITY OF AN INDIAN MANGROVE FOREST USING GEO-LEO SATELLITE DATA
QUANTIFYING GROSS PRIMARY PRODUCTIVITY OF AN INDIAN MANGROVE FOREST USING GEO-LEO SATELLITE DATA
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Gross primary productivity (GPP) is total carbon assimilation by plants through the process of photosynthesis。 In view of increasing anthropogenic influences and global changes， quantification of carbon assimilation through photosynthesis has gained tremendous significance。 Precise estimation of GPP is essential part of several ecosystem models。 Mangrove ecosystem， that offers significant protection to coastal environment， is governed by changes in salinity and other micro-environment factors。 Globally mangroves are facing serious threat and are undergoing degradation due to anthropogenic pressure。 In view of global changes， an assessment of carbon assimilation potential of mangroves is required for developing into a carbon sink and conservation of this fragile ecosystem is highly essential。 In the present study， estimation and validation of mangrove GPP was carried out in Bhitarkanika national park (Odisha， India)。 Light Use Efficiency (LUE) was modelled from seasonal， diurnal in-situ photosynthetic rate observations on 11 dominant mangrove species。 For estimation of GPP， 'vegetation photosynthetic model' framework was modified using water， temperature and salinity scalars derived from IRS Resourcesat 2 LISS-4， a Low earth orbit (LEO) satellite data。 The incident Photosynthetically Active Radiation (PAR) was derived from insolation product obtained from Geostationary (GEO) satellite KALPANA-1 VHRR for the observation period。 Amongst all the species， highest LUE was found m Excoecaria agallocha in winter and summer (5 53 and 0。55 g C m~(-2) MJ~(-1)， respectively)， and in Aegiceras corniculatum in post-monsoon season (0。58 g C m~(-2) MJ~(-1))。 Seasonal 8-day average GPP was found to vary from 3。41 g Cm~(-2) to 14。4 g C m~(-2)， with the highest in winter。 Comparison of modelled estimates showed fairly good agreement with MODIS GPP (r = 0。89; n=118) having comparable coefficient of variation (41。8% in modelled and 49。5% in MODIS GPP)。 The present modelling approach of estimating GPP through GEO-LEO satellite can be used to quantify carbon sink in other Indian mangrove ecosystems。
Gross primary productivityLight use efficiencymangrovesBhitarkanikaVegetation photosynthesis model
Nikhil Lele、Kripa MK、TVR Murthy、Muktipada Panda、RN Samal
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