Seasonal variation in photosynthetic rates and satellite-based GPP estimation over mangrove forest

In view of increasing anthropogenic influences and global changes, quantification of carbon assimilation through photosynthesis has gained tremendous significance. Precise estimation of Gross Primary Productivity (GPP) is essential for several ecosystem models and is typically done using coarser scale satellite data. The mangrove ecosystem, which offers significant protection to the coastal environment, is one of the critical habitats from a global change point of view. Light use efficiency (LUE) was measured using diurnal in situ photosynthetic rate observations for 13 dominant mangrove species for 3 seasons at each of the three mangrove dominant test-sites situated along the east and west coast of India. Variations in photosynthetic rates among these species were studied for 3 seasons that indicated varying responses of mangrove ecosystem at each site. Among all species, Rhizophora mucronata and Sonneratia apetala indicated higher values at two of the test-sites. IRS Resourcesat-2 LISS-IV datasets were used for the estimation of GPP. Mean GPP for all the sites varied from 1.2 to 7.7 g C m(-2) day(-1) with maximum value of 14.4 g C m(-2) day(-1). Mean values of GPP varied across the sites, based on its maximum LUE values and available photosynthetically active radiation (PAR). The results provide GPP values at much better spatial resolution for a threatened habitat like mangroves that typically survive in a narrow habitat along the coasts.

Automated summary

This study focused on quantifying carbon assimilation through photosynthesis in mangrove ecosystems along the east and west coasts of India. It found that Rhizophora mucronata and Sonneratia apetala showed higher values of light use efficiency at two of the test-sites. Estimation of Gross Primary Productivity (GPP) using satellite data showed variations in GPP values across different sites, providing a better spatial resolution for threatened habitats like mangroves.