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Annick Verween, S' Degraer, M' Vincx

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Title: Annick Verween, S' Degraer, M' Vincx


1
Reducing the economic impact of Mytilopsis
leucophaeata in the harbour of Antwerp
  • Annick Verween, S. Degraer,
    M. Vincx

2
Biofouling
  • the disfunctioning of a technical installation
    because of interaction between natural biological
    processes and the activities of the installation
    (Jenner, 1998)

Cooling water conduits organisms get pumped
up ideal situation growth and
colonisation clogging
3
Fouling-organisms
  • Hydrozoa, Barnacles, Worms, ...
  • Mussels Most harmful
  • Clog heat-exchangers
  • Difficult to remove once theyre settled

4
2. Mussels (Dreissenidae)
  • Mytilopsis leucophaeata
  • Brackish Water Mussel
  • alien invader in Europe
  • (? Atlantic Coast N-Am)
  • brackish water sp.
  • Dreissena polymorpha
  • Zebra Mussel
  • alien invader in U.S.
  • (? Caspian Sea)
  • fresh water sp.

5
  • Mytilopsis leucophaeata
  • Dreissena polymorpha

Solutions? - Chlorination - Ozonation -
UV-radiation
Solutions! - Chlorination - Ozonation -
UV-radiation
6
Mytilopsis leucophaeata
  • Chlorination at BASF, Antwerp
  • untill now only solution against
    biofouling
  • Problem Use of Cl-chemicals is/will be limited
    (VLAREM II, 4.2.4., annex 2.3.1.)
  • Can we reduce the use of biocides, as such meet
    the VLAREM II criteria, and still be as effective
    against biofouling?

7
3. Mytilopsis leucophaeata
  • OBJECTIVES
  • - Efficient use of biocides
  • - Switch to biological solution

Developing control stategies Knowledge of
lifecycle
8
Lifecycle of M. leucophaeata
Soft tissue
settle
Protective shell
9
PhD-research
  • Population dynamics
  • In situ observation
  • Experimental observation
  • Early warning system
  • Correlation environment population dynamics
  • Logistic regression

10
3.1. Population dynamics of M. leucophaeata3.1.1.
In situ observation
Weekly monitoring of incoming water at cooling
conduits
11
Strong seasonal patterns
12
Compare environment larval presence
13
  • Strong seasonal patterns

14
Compare 2001 - 2003
15
Summary
  • Population dynamics of M. leucophaeata quite
    similar yearly,
  • BUT small variations determine size of
    fouling-problems

Larvae arrive end May - early June, until Sept -
Oct Settlers arrive in august, until december or
longer Densities and spread may differ
16
3.1. Population dynamics of M. leucophaeata3.1.2.
Experimental observation
  • effect of changes in environmental factors on
  • Adults ? detailed information about relation
    environment population, explanations
  • Larvae ? search for max. mortality under min.
    changes in current environment
  • ? can a combination of environmental factors
    avoid boifouling?

17
  • Adults Scope for Growth
  • Protocol Widdows Staff, 1985
  • energy balance between E-gain E-loss of
    bivalves
  • direct measure of potential growth under
    specific conditions
  • Larvae hatching testing
  • Protocol Honkoop, 1998
  • way to hatch Macoma balthica in the lab
  • closest to M. leucophaeata

A protocol alone is not enough! Working with
living animals, keeping them alive testing with
them is DIFFICULT! Time- energyconsuming to
find most ideal protocol for each
experiment Dont underestimate this!
18
3.2. Early warning system STATISTICS
  • warning when the larvae will arrive in the
    system
  • new biofouling gets avoided
  • Based on - presence/absence of larvae (0/1)
  • - predicting environmental variabels
  • 3.2.1. Correlation environment population
    dynamics
  • What are the predicting variabels for larval
    arrival?
  • - literature timing duration of reproduction
    cycle is believed to be controlled by
    environmental factors
  • - temperature, salinity, foodavailability

19
  • Is there a correlation?

20
3.2. Early warning system STATISTICS
  • 3.2.2. Logistic regression
  • to predict the probability of appearance of
    larvae as a response on changes in environmental
    variables (Ysebaert et al., 2002)
  • statistical model, relates the proportions pi
    of a dependent variabele to an undependent
    variabele X (Cox, 1970 Hosmer Lemeshow, 1989
    Trexler Travis, 1993 Jongman et al., 1995)
  • p(x) e(a bX) / 1 e(a bX)

21
4. Conclusions and further research
  • Monitoring
  • Larvae arrive in june, until september-october
  • Settlers arrive in august, until december or
    longer
  • Effect of environmental factors

22
  • Early warning system
  • Experimental research
  • larvae search for max. mortality under min.
    changes in current environment

Efficient use of biocides ? PROACTIVE
Switch to a more biological solution
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