TY - CHAP

T1 - Development of the maximum specific rate of photosynthesis algorithm: a case study for the Atlantic Ocean

AU - Malysheva , Aleksandra

AU - Lobanova , Polina

N1 - Malysheva A., Lobanova P. Development of the maximum specific rate of photosynthesis algorithm: a case study for the Atlantic Ocean // PICES-2022. Busan, Korea. Book of Abstracts. - P.103.

PY - 2022

Y1 - 2022

N2 - In this study we considered the seasonal and spatial variability of the maximum specific rate of photosynthesis(assimilation number, PBm), which describes the photosynthetic abilities of marine phytoplankton. Based on ship(in situ) data from the global database of the photosynthetic curve parameters (PANGAEA), the dependenceof PBm on Sea Surface Temperature (SST) and chlorophyll-a concentration (Chl-a) in the surface layer (0-30meters) for the period from 2002 to 2013 was analyzed. The strongest relationship between PBm and SST (r=0.82,p-level<0.01) was observed in winter (December), while in spring and summer (March-August) the relationshipwas moderate (r=0.30, p-level<0.01), and there was no correlation between the parameters in fall. The relationshipbetween PBm and Chl-a was strong only near the Grand Banks of Newfoundland (r=-0.61, p-level<0.01). Werevealed a connection between PBm values with the growing season of marine phytoplankton and compared regionalfeatures and the range of PBm variability: during spring bloom PBm values varied in a wide range, decreased overthe summer and reached their minimum in fall, the maximum values were observed in winter. In addition, wellknown algorithms of PBm as a function of seawater temperature have been reviewed and validated: they showeda significant correlation with in situ data (r=0.44-0.81 at p<0.01). Moreover, due to the necessary to take intoaccount the seasonal and regional variability of PBm the new empirical algorithms were developed. These newalgorithms showed a better performance compared to the other algorithms.

AB - In this study we considered the seasonal and spatial variability of the maximum specific rate of photosynthesis(assimilation number, PBm), which describes the photosynthetic abilities of marine phytoplankton. Based on ship(in situ) data from the global database of the photosynthetic curve parameters (PANGAEA), the dependenceof PBm on Sea Surface Temperature (SST) and chlorophyll-a concentration (Chl-a) in the surface layer (0-30meters) for the period from 2002 to 2013 was analyzed. The strongest relationship between PBm and SST (r=0.82,p-level<0.01) was observed in winter (December), while in spring and summer (March-August) the relationshipwas moderate (r=0.30, p-level<0.01), and there was no correlation between the parameters in fall. The relationshipbetween PBm and Chl-a was strong only near the Grand Banks of Newfoundland (r=-0.61, p-level<0.01). Werevealed a connection between PBm values with the growing season of marine phytoplankton and compared regionalfeatures and the range of PBm variability: during spring bloom PBm values varied in a wide range, decreased overthe summer and reached their minimum in fall, the maximum values were observed in winter. In addition, wellknown algorithms of PBm as a function of seawater temperature have been reviewed and validated: they showeda significant correlation with in situ data (r=0.44-0.81 at p<0.01). Moreover, due to the necessary to take intoaccount the seasonal and regional variability of PBm the new empirical algorithms were developed. These newalgorithms showed a better performance compared to the other algorithms.

M3 - Conference abstracts

SP - 103

BT - PICES-2022. Book of Abstracts

Y2 - 23 September 2022 through 2 October 2022

ER -