AI Article Synopsis

  • A 20-year study (2001-2020) in Jangmok Bay, Korea, examined how various environmental factors like sea surface temperature (SST), salinity, and dissolved oxygen affect the blooms of Noctiluca scintillans, using advanced statistical methods.
  • * The study found that SST and salinity significantly influence bloom occurrences, with SST having a 2-month lag and salinity a 1-month lag in their effects.
  • * Additionally, the research identified a cyclical occurrence of blooms every 3 years and highlighted the need for a comprehensive approach considering multiple environmental factors to predict and manage harmful algal blooms (HABs).*

Article Abstract

This 20-year study (2001-2020) conducted in Jangmok Bay, Korea, assessed the intricate relationships between environmental factors and Noctiluca scintillans blooms. Granger causality tests and PCA analysis were used to assess the impact of sea surface temperature (SST), salinity, dissolved oxygen (DO) concentration, wind patterns, rainfall, and chlorophyll-a (Chl-a) concentration on bloom dynamics. The results revealed significant, albeit delayed, influences of these variables on bloom occurrence, with SST exhibiting a notable 2-month lag and salinity a 1-month lag in their impact. Additionally, the analysis highlighted the significant roles of phosphate, ammonium, and silicate, which influenced N. scintillans blooms with lags of 1 to 3 months. The PCA demonstrates how SST and wind speed during spring and summer, along with wind direction and salinity in winter, significantly impact N. scintillans blooms. We noted not only an increase in large-scale N. scintillans blooms but also a cyclical pattern of occurrence every 3 years. These findings underscore the synergistic effects of environmental factors, highlighting the complex interplay between SST, salinity, DO concentration, and weather conditions to influence bloom patterns. This research enhances our understanding of harmful algal blooms (HABs), emphasizing the importance of a comprehensive approach that considers multiple interconnected environmental variables for predicting and managing N. scintillans blooms.

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Source
http://dx.doi.org/10.1016/j.scitotenv.2024.174592DOI Listing

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