A comparison of primary production models in an area of high mesoscale variability (South Shetland Islands,Antarctica) |
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| Institution: | 1. Departamento de Ecología y Gestión costera, Instituto de Ciencias Marinas de Andalucía (ICMAN-CSIC), 11510 Puerto Real, Cádiz, Spain;2. Centro Oceanográfico de Gijón, Instituto Español de Oceanografía, 33212 Gijón, Asturias, Spain;3. Departamento de Biología, Facultad de Ciencias del Mar y Ambientales, Universidad de Cádiz, 11510 Puerto Real, Cádiz, Spain;4. Institute of Oceanography and Global Change, Universidad de Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Islas Canarias, Spain;1. Laboratorio de Palinología, Facultad de Ciencias Agrarias, Universidad Nacional de Jujuy Instituto de Ecorregiones Andinas-CONICET/UNJu, Alberdi 47, 4600, Jujuy, Argentina;2. Departamento de Ciencias de la Atmósfera y los Océanos, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires-CONICET, Pabellón II, 2° piso, Ciudad Universitaria, 1428 Buenos Aires, Argentina.;1. Department of Geology, Geography and Environment, University of Alcalá, Madrid, Spain;2. Department of Physics and Mathematics, University of Alcalá, Madrid, Spain;1. Institute of Veterinary Medicine, Jiangsu Academy of Agricultural Sciences, Key Laboratory of Veterinary Biological Engineering and Technology, Ministry of Agriculture, National Research Center for Engineering and Technology of Veterinary Bio-products, Nanjing 210014, China;2. College of Veterinary Sciences, University of Nyala, Nyala, Sudan |
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| Abstract: | Three types of primary productivity (PP) models were evaluated in a mesoscale area around the South Shetland Islands (Antarctica). Input variables were: phytoplankton carbon biomass, Chlorophyll a, sea water temperature, daily irradiance, among others, collected in situ during an oceanographic cruise (COUPLING, January 2010). Models of the first type were based on Chl a measurements: the widely used model VGPM (Behrenfeld and Falkowski, 1997) and a derived version developed for the Western Antarctic Peninsula (Dierssen et al., 2000). The second type included two models based on phytoplankton carbon biomass: one developed for the whole Southern Ocean (Arrigo et al., 2008) and one based on the Metabolic Theory of Ecology developed by López-Urrutia et al. (2006), being the first time that a model with these features is used for Antarctic waters. The third type was an updated version of the carbon-based model CbPM (first described by Behrenfeld et al. (2005)) based on the Chl a/carbon biomass ratio modulation. The degree of agreement among the results between the different types of models turned out to be low (> 30% of difference), but high within models of the same type (< 10% of difference). Biomass-based model predictions differed the most from those estimated by the other two types. The differences in PP estimates were primarily attributed to the different ways these models treat the phytoplankton assemblage, along with the difference in input variables. Among the five models evaluated, the output from the modified version of the CbPM showed the lowest bias (0.55) being the most realistic. It made a special attempt to detect the factors controlling phytoplankton physiological state, showing a nutrient limitation towards the Drake area similar to the one observed for the in situ PP values. |
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