Scientific Results

  • ID:
    publications-2519
  • Type:
    Peer reviewed articles
  • Year:
    2019
  • Authors:
    Jesus M. Torres Palenzuela, Luis Gonzålez Vilas, Francisco M. Bellas, Elina Garet, África Gonzålez-Fernåndez, Evangelos Spyrakos
  • Title:
    Pseudo-nitzschia Blooms in a Coastal Upwelling System: Remote Sensing Detection, Toxicity and Environmental Variables
  • Venue/Journal:
    Water
  • DOI:
    10.3390/w11091954
  • Research type:
    Data Management & Analytics
  • Water System:
    Natural Water Bodies
  • Technical Focus:
  • Abstract:
    The NW coast of the Iberian Peninsula is dominated by extensive shellfish farming, which places this region as a world leader in mussel production. Harmful algal blooms in the area frequent lead to lengthy harvesting closures threatening food security. This study developed a framework for the detection of Pseudo-nitzschia blooms in the Galician rias from satellite data (MERIS full-resolution images) and identified key variables that affect their abundance and toxicity. Two events of toxin-containing Pseudo-nitzschia were detected (up to 2.5 ÎŒg L−1 pDA) in the area. This study suggests that even moderate densities of Pseudo-nitzschia in this area might indicate high toxin content. Empirical models for particulate domoic acid (pDA) were developed based on MERIS FR data. The resulting remote-sensing model, including MERIS bands centered around 510, 560, and 620 nm explain 73% of the pDA variance (R2 = 0.73, p < 0.001). The results show that higher salinity values and lower Si(OH)4/N ratios favour higher Pseudo-nitzschia spp. abundances. High pDA values seem to be associated with relatively high PO43, low NO3− concentrations, and low Si(OH)4/N. While MERIS FR data and regionally specific algorithms can be useful for detecting Pseudo-nitzschia blooms, nutrient relationships are crucial for predicting the toxicity of these blooms.
  • Link with Projects:
    776348
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