dc.contributor.author | Kumar, T. | |
dc.contributor.author | Murthy, T.V.R. | |
dc.contributor.author | Chellamani, P. | |
dc.contributor.author | Krishnan, V. | |
dc.contributor.author | Thangaradjou, T. | |
dc.contributor.author | ManiMurali, R. | |
dc.date.accessioned | 18/2/2019 | |
dc.date.accessioned | 2019-02-18T20:16:34Z | |
dc.date.available | 2/12/2018 | |
dc.date.available | 2019-02-18T20:16:34Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Tropical Ecology, vol.58(4); 2017; 717-729 | |
dc.identifier.issn | 0564-3295 | |
dc.identifier.uri | http://tropecol.com/pdf/open/PDF_58_4/4 Kumar et al..pdf | |
dc.identifier.uri | http://drs.nio.org/drs/handle/2264/7914 | |
dc.description.abstract | The paper offers models for simulating photosynthesis as a function of empirical variables, such as radiation, temperature, CO2 concentrations, water content in the atmosphere, vapour pressure deficit and relative humidity for sun and shade leaves of Indian red mangrove (Rhizophora mucronata Poir.). The photosynthetic rates were modelled by incorporating a combination of parameters involved in two separate models, viz. biochemical photosynthetic model and stomatal conductance model together with some additional variables as inputs to twostage least squares fitting regression method. The results revealed good performance of the models in simulating the photosynthetic rates (in most of the cases validation R2>0.7 and in some cases as high as 0.92). | |
dc.language | en | |
dc.publisher | International Society for Tropical Ecology | |
dc.relation.isreferencedby | SCI | |
dc.title | Modelling photosynthetic rates of Indian red mangroves (Rhizophora mucronata Poir.) to climatic factors | |
dc.type | Journal Article | |
dc.affiliation.author | Regional Remote Sensing Centre-East (RRSC-E), National Remote Sensing Centre (NRSC), Indian Space Research Organisation (ISRO), Kolkata 700 156, India | |