Pseudo-nitzschia Blooms in a Coastal Upwelling System: Remote Sensing Detection, Toxicity and Environmental Variables

被引:24
|
作者
Torres Palenzuela, Jesus M. [1 ]
Gonzalez Vilas, Luis [1 ]
Bellas, Francisco M. [1 ]
Garet, Elina [2 ,3 ]
Gonzalez-Fernandez, Africa [2 ,3 ]
Spyrakos, Evangelos [4 ]
机构
[1] Univ Vigo, Dept Appl Phys, Sci Fac, Remote Sensing & GIS Lab, Campus Lagoas Marcosende, Vigo 36310, Spain
[2] Univ Vigo, Biomed Res Ctr CINBIO, Immunol Area, Campus Lagoas Marcosende, Vigo 36310, Spain
[3] Univ Vigo, Inst Biomed Res Vigo IBIV, Campus Lagoas Marcosende, Vigo 36310, Spain
[4] Univ Stirling, Sch Nat Sci, Biol & Environm Sci, Stirling FK9 4LA, Scotland
基金
欧盟地平线“2020”;
关键词
Pseudo-nitzschia; domoic acid; MERIS algorithms; upwelling; Galician rias; DOMOIC ACID PRODUCTION; HARMFUL ALGAL BLOOMS; DE-FUCA EDDY; NW SPAIN; SERIATA BACILLARIOPHYCEAE; NUTRIENT RATIOS; MONTEREY BAY; RED TIDES; PHYTOPLANKTON; CALIFORNIA;
D O I
10.3390/w11091954
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 mu g 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 (R-2 = 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.
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页数:24
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