Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data
The Argentine continental shelf and shelf-break regions comprise a large and rich biological area of the ocean. However, field estimations of primary production are scarce, making remote sensing of ocean color a valuable tool to provide synoptic maps of primary production in this ecologically releva...
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paper:paper_00344257_v140_n_p497_Dogliotti2023-06-08T15:00:38Z Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data Dogliotti, Ana Ines Argentine Sea Model Ocean color Primary production Remote sensing Argentine Sea Chlorophyll-a concentration Diffuse attenuation coefficients Ocean color Photosynthetic parameters Photosynthetically active radiation Physiological parameters Primary production Chlorophyll Color Estimation Models Oceanography Pixels Remote sensing Physiological models algorithm chlorophyll a continental shelf ocean color photosynthetically active radiation primary production remote sensing shelf break summer water column winter Argentine Sea Atlantic Ocean The Argentine continental shelf and shelf-break regions comprise a large and rich biological area of the ocean. However, field estimations of primary production are scarce, making remote sensing of ocean color a valuable tool to provide synoptic maps of primary production in this ecologically relevant region. Field studies performed during spring 2005, and summer and winter 2006 showed a high spatial and seasonal variability in the daily integrated water column primary production, chlorophyll-a and biomass-normalized photosynthetic parameters. Using field measurements, five different and relatively simple (non-spectral and vertically homogeneous biomass) models were tested: three chlorophyll-, one carbon- and one absorption-based model. The chlorophyll-based 'BIOM' model developed by Platt and Sathyendranath (Science, 241:1613-1620, 1988) provided the closest estimates to the field values, and was selected as the local algorithm. Its performance was assessed using simultaneous satellite-derived products and field photosynthetic parameters as input. Close values compared to the field estimates were obtained using BIOM (Absolute Percent Difference error, APD ~. 10%), even though satellite-derived products used as input to the model (i.e. chlorophyll a concentration, diffuse attenuation coefficient in the photosynthetically active radiation range - PAR-, and PAR irradiance) showed relative high errors (APD ~. 40%, 20% and 50%, respectively). Provided that an efficient way to assign the physiological parameters in a pixel-by-pixel basis is found, this model seems to be the best to produce primary production maps from remote sensing of ocean color in the southern Argentine shelf and shelf-break regions. © 2013 Elsevier Inc. Fil:Dogliotti, A.I. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00344257_v140_n_p497_Dogliotti http://hdl.handle.net/20.500.12110/paper_00344257_v140_n_p497_Dogliotti |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Argentine Sea Model Ocean color Primary production Remote sensing Argentine Sea Chlorophyll-a concentration Diffuse attenuation coefficients Ocean color Photosynthetic parameters Photosynthetically active radiation Physiological parameters Primary production Chlorophyll Color Estimation Models Oceanography Pixels Remote sensing Physiological models algorithm chlorophyll a continental shelf ocean color photosynthetically active radiation primary production remote sensing shelf break summer water column winter Argentine Sea Atlantic Ocean |
| spellingShingle |
Argentine Sea Model Ocean color Primary production Remote sensing Argentine Sea Chlorophyll-a concentration Diffuse attenuation coefficients Ocean color Photosynthetic parameters Photosynthetically active radiation Physiological parameters Primary production Chlorophyll Color Estimation Models Oceanography Pixels Remote sensing Physiological models algorithm chlorophyll a continental shelf ocean color photosynthetically active radiation primary production remote sensing shelf break summer water column winter Argentine Sea Atlantic Ocean Dogliotti, Ana Ines Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data |
| topic_facet |
Argentine Sea Model Ocean color Primary production Remote sensing Argentine Sea Chlorophyll-a concentration Diffuse attenuation coefficients Ocean color Photosynthetic parameters Photosynthetically active radiation Physiological parameters Primary production Chlorophyll Color Estimation Models Oceanography Pixels Remote sensing Physiological models algorithm chlorophyll a continental shelf ocean color photosynthetically active radiation primary production remote sensing shelf break summer water column winter Argentine Sea Atlantic Ocean |
| description |
The Argentine continental shelf and shelf-break regions comprise a large and rich biological area of the ocean. However, field estimations of primary production are scarce, making remote sensing of ocean color a valuable tool to provide synoptic maps of primary production in this ecologically relevant region. Field studies performed during spring 2005, and summer and winter 2006 showed a high spatial and seasonal variability in the daily integrated water column primary production, chlorophyll-a and biomass-normalized photosynthetic parameters. Using field measurements, five different and relatively simple (non-spectral and vertically homogeneous biomass) models were tested: three chlorophyll-, one carbon- and one absorption-based model. The chlorophyll-based 'BIOM' model developed by Platt and Sathyendranath (Science, 241:1613-1620, 1988) provided the closest estimates to the field values, and was selected as the local algorithm. Its performance was assessed using simultaneous satellite-derived products and field photosynthetic parameters as input. Close values compared to the field estimates were obtained using BIOM (Absolute Percent Difference error, APD ~. 10%), even though satellite-derived products used as input to the model (i.e. chlorophyll a concentration, diffuse attenuation coefficient in the photosynthetically active radiation range - PAR-, and PAR irradiance) showed relative high errors (APD ~. 40%, 20% and 50%, respectively). Provided that an efficient way to assign the physiological parameters in a pixel-by-pixel basis is found, this model seems to be the best to produce primary production maps from remote sensing of ocean color in the southern Argentine shelf and shelf-break regions. © 2013 Elsevier Inc. |
| author |
Dogliotti, Ana Ines |
| author_facet |
Dogliotti, Ana Ines |
| author_sort |
Dogliotti, Ana Ines |
| title |
Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data |
| title_short |
Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data |
| title_full |
Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data |
| title_fullStr |
Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data |
| title_full_unstemmed |
Estimation of primary production in the southern Argentine continental shelf and shelf-break regions using field and remote sensing data |
| title_sort |
estimation of primary production in the southern argentine continental shelf and shelf-break regions using field and remote sensing data |
| publishDate |
2014 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00344257_v140_n_p497_Dogliotti http://hdl.handle.net/20.500.12110/paper_00344257_v140_n_p497_Dogliotti |
| work_keys_str_mv |
AT dogliottianaines estimationofprimaryproductioninthesouthernargentinecontinentalshelfandshelfbreakregionsusingfieldandremotesensingdata |
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1768543315399016448 |