Effect of Temperature on Alexandrium minutum Laboratory experiments - - PowerPoint PPT Presentation

effect of temperature on alexandrium minutum laboratory
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Effect of Temperature on Alexandrium minutum Laboratory experiments - - PowerPoint PPT Presentation

A. Chapelle, C. Labry, J. Quere, R.Verney, ANR Paralex, Roscoff, 15/2/ 2011 Effect of Temperature on Alexandrium minutum Laboratory experiments and Modelling Temperature and dilution effects on blooms of Alexandrium minutum in the Penz estuary


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Effect of Temperature on Alexandrium minutum Laboratory experiments and Modelling

  • A. Chapelle, C. Labry, J. Quere, R.Verney, ANR Paralex, Roscoff, 15/2/ 2011
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Temperature and dilution effects on blooms of Alexandrium minutum in the Penzé estuary ∗ ∗ ∗ ∗ ∗ ∗ ∗ ∗

∆ [A. min cells] = Growth (T, I) – Dilution (tide, runoff) ∆ [A. min cells] = Growth (T, I) – Dilution (tide, runoff) – parasitism ?

  • PSP risk ∗

→ > 1 M cells/L

  • > 1 M cells/L

→ Seawater temperature > 15° C Tidal Coeff < 60 (NT) or < 80 (ST) River runoff < 2 m3 s-1

1993 2003 2004

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Hypothesis

Blooms in Cork Harbour are controlled by the balance between the tidal dilution rate and the effects of temperature and irradiance on the growth rate Growth rate (T,I) > tidal dilution rate = bloom

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∆ [A. min cells] = µ (T, I) - D (tide, runoff)

Twater (measured or extrapolated from Rephy, Pelagos data) Irradiance measured (meteorological Sibiril station) Dilution calculated from Hydrodynamic model

0,0 0,2 0,4 0,6 0,8 1,0 1,2 5 10 15 20 25 30 Température (° C) Taux de croissance relatif

d'après Probert (1999) d'après Erard-Le Denn (1997) Modèle

0,0 0,1 0,2 0,3 0,4 0,5 0,6 0,7 0,8 0,9 1,0 100 200 300 400 500 I (µE.m-2.s-1) Taux de croissance relatif d'après Probert (1999) d'après Erard-Le Denn (non publié) d'après Erard-Le Denn (1997) Modèle

f(T) f(I) µ = µmax ∗ f(T) ∗ f(I)

Temperature and dilution effects on blooms of Alexandrium minutum in the Penzé estuary 1991 - 2003

D

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Temperature and dilution effects on blooms of Alexandrium minutum in the Penzé estuary 1991 - 2003

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In ANR Paralex, new experiments on old strain (AM89BM) and more recent strain (AM06PZ 131) to reevaluate f(T)

0,0 0,2 0,4 0,6 0,8 1,0 5 10 15 20 25 30

Temperature (° C) µ relatif (d-1)

AM89BM 1997 AM89BM 1999 AM89BM model 2003

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In ANR Paralex, new experiments on old strain (AM89BM) and more recent strain (AM06PZ 131) to reevaluate f(T)

0,0 0,2 0,4 0,6 0,8 1,0 5 10 15 20 25 30

Temperature (° C) µ relatif (d-1)

AM89BM 1997 AM89BM 1999 AM89BM model 2003 AM89BM 2010

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In ANR Paralex, new experiments on old strain (AM89BM) and more recent strain (AM06PZ 131) to reevaluate f(T)

0,0 0,2 0,4 0,6 0,8 1,0 5 10 15 20 25 30

Temperature (° C) µ relatif (d-1)

AM89BM 1997 AM89BM 1999 AM89BM model 2003 AM89BM 2010 AM89BM model 2010

Linear relationship between 9 and 23 ° C : slope 0.07 ± 0.02 d-1 ° C -1

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In ANR Paralex, new experiments on old strain (AM89BM) and more recent strain (AM06PZ 131) to reevaluate f(T)

0,0 0,2 0,4 0,6 0,8 1,0 5 10 15 20 25 30

Temperature (° C) µ relatif (d-1)

AM89BM 1997 AM89BM 1999 AM89BM model 2003 AM89BM 2010 AM89BM model 2010

Review de Montagnes et al. (2003) Sur 92 set de données 79 ⇒ relation linéaire 0.07 ± 0.005 d-1 °C-1 Linear relationship between 9 and 23 ° C : slope 0.07 ± 0.02 d-1 ° C -1

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In ANR Paralex, new experiments on old strain (AM89BM) and more recent strain (AM06PZ 131) to reevaluate f(T)

Review de Montagnes et al. (2003) Sur 92 set de données 79 ⇒ relation linéaire 0.07 ± 0.005 d-1 °C-1 Linear relationship between 9 and 23 ° C : slope 0.07 ± 0.02 d-1 ° C -1

0,0 0,2 0,4 0,6 0,8 1,0 5 10 15 20 25 30

Temperature (° C) µ relatif (d-1)

AM89BM 1997 AM89BM 1999 AM89BM model 2003 AM89BM 2010 AM89BM model 2010 AM06PZ 131

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In ANR Paralex, new experiments on old strain (AM89BM) and more recent strain (AM06PZ 131) to reevaluate f(T)

Variability between strains in temperature effect Need to re-parametrize the temperature effect

0,0 0,2 0,4 0,6 0,8 1,0 5 10 15 20 25 30

Temperature (° C) µ relatif (d-1)

AM89BM 1997 AM89BM 1999 AM89BM model 2003 AM89BM 2010 AM89BM model 2010 AM06PZ 131

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In ANR Paralex, new experiments on old strain (AM89BM) and more recent strain (AM06PZ 131) to reevaluate f(T)

Same linear relationship but a greater growth limitation by low temperatures in Penzé Why?

0,0 0,2 0,4 0,6 0,8 1,0 5 10 15 20 25 30

Temperature (° C) µ relatif (d-1)

AM89BM 1997 AM89BM 1999 AM89BM model 2003 AM89BM 2010 AM89BM model 2010 AM06PZ 131

  • A. min and A. tam Cork

Cork model

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Similar temperature between Cork and Penzé. It isn’t a question of acclimatation.

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In Cork, the model simulates the bloom for the first neap tide of june

Forecast of bloom occurrence period

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15 years simulated with only T, I, Dilution (tide and runoff) Interannual variability of the risk period reproduced (from beginning of june to mid july)

Forecast of bloom occurrence period

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  • 1991 : Beginning of A. minutum apparition in Penzé,

kystes explanation ?

Forecast of bloom occurrence period

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Forecast of bloom occurrence period

  • 1998 : early bloom of A. minutum concentrations but….
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2 High flows of Penzé river and Water temperature around the 15° C limit The model limits more heavily A. minutum development than in situ

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Forecast of bloom occurrence period

  • 2005, 2006 : Good environmental conditions, the bloom begin

early in June but does not reach high biomass -> control top down ?

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Continue comparison between Alexandrium minutum blooms simulation between Penzé and Cork harbour Adjust the temperature effect with strain 06 experiments Apply the same approach to the Rance ?

Temperature and dilution effects on blooms of Alexandrium minutum in the Penzé estuary Perspectives

f(T) : complete with temperature < 14° C (10, 12) Test on new strains Test with A. minutum infected by Amoebophrya

0,0 0,2 0,4 0,6 0,8 1,0 5 10 15 20 25 30

Temperature (° C) µ relatif (d-1)

AM89BM 1997 AM89BM 1999 AM89BM model 2003 AM89BM 2010 AM89BM model 2010 AM06PZ 131

  • A. min and A. tam Cork

Cork model

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