Using climate reanalysis and remote sensing-derived data to create the basis for predicting the occurrence of algal blooms, harmful algal blooms and toxic events in Santa Catarina, Brazil

Luiz F N Vianna; Robson V de Souza; Mathias A Schramm; Thiago P Alves

doi:10.1016/j.scitotenv.2023.163086

Using climate reanalysis and remote sensing-derived data to create the basis for predicting the occurrence of algal blooms, harmful algal blooms and toxic events in Santa Catarina, Brazil

Sci Total Environ. 2023 Jul 1:880:163086. doi: 10.1016/j.scitotenv.2023.163086. Epub 2023 Mar 28.

Authors

Luiz F N Vianna¹, Robson V de Souza², Mathias A Schramm³, Thiago P Alves³

Affiliations

¹ Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri), Rodovia Admar Gonzaga, 1.347, Itacorubi, Florianópolis, SC 88034-901, Brazil. Electronic address: vianna@epagri.sc.gov.br.
² Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri), Rodovia Admar Gonzaga, 1.347, Itacorubi, Florianópolis, SC 88034-901, Brazil.
³ Instituto Federal de Educação, Ciência e Tecnologia de Santa Catarina, Campus Itajaí, Av. Vereador Abrahão João Francisco, n° 3899, Ressacada, Itajaí, SC 88307-303, Brazil.

PMID: 36996989
DOI: 10.1016/j.scitotenv.2023.163086

Abstract

This study aimed to form a basis for future predictive modeling efforts in support of the harmful algal blooms (HAB) surveillance program currently in force in the Brazilian State of Santa Catarina (SC). Data from monitoring toxin-producing algae were merged with both meteorological and oceanographic data and analyzed. Data from four sources were used in this study: climate reanalysis (air temperature, pressure, cloud cover, precipitation, radiation, U and V winds); remote sensing (chlorophyll concentration and sea surface temperature); Oceanic Niño Index; and HAB monitoring data (phytoplankton counts and toxin levels in shellfish samples obtained from 39 points located in shellfish farms distributed along the SC coastline). This study analyzed the period from 2007-01-01 to 2019-12-31 (7035 records in the HAB database) and used descriptive, bivariate and multivariate analyses to draw correlations among environmental parameters and the occurrence of algal blooms (AB), HAB and toxic events. Dinophysis spp. AB were the most registered type of event and tended to occur during the late autumn and winter months. These events were associated with high atmospheric pressure, predominance of westerly and southerly winds, low solar radiation and low sea and air temperature. An inverted pattern was observed for Pseudo-nitzschia spp. AB, which were mostly registered during the summer and early autumn months. These results give evidence that the patterns of occurrence of highly prevalent toxin-producing microalgae reported worldwide, such as the Dinophysis AB during the summer, differ along the coast of SC. Our findings also show that meteorological data, such as wind direction and speed, atmospheric pressure, solar radiation and air temperature, might all be key predictive modeling input parameters, whereas remote sensing estimates of chlorophyll, which are currently used as a proxy for the occurrence of AB, seem to be a poor predictor of HAB in this geographic area.

Keywords: Chlorophyll; Meteorology; Microalgae; Satellite; Shellfish aquaculture.

MeSH terms

Brazil
Dinoflagellida*
Harmful Algal Bloom*
Phytoplankton
Remote Sensing Technology