Age is a good predictor for the stability of marine fouling communities – Results from a globally replicated study. Mark Lenz 42nd European.

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Transcript Age is a good predictor for the stability of marine fouling communities – Results from a globally replicated study. Mark Lenz 42nd European.

Age is a good predictor for the stability of marine fouling communities –
Results from a globally replicated study.
Mark Lenz
42nd European Marine Biology Symposium · August 27th – 31st · Kiel
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Invasions in the marine coastal environment
Marine fouling communities
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Invasions in the marine coastal environment
Foulers are invaders!
www.biopix.dk
Styela clava (Davis & Davis 2007)
Dreissena polymorpha (Johnson & Carlton 1996)
Balanus improvisus
(Schories & Selig 2006)
Elminius modestus (Harms31999)
Invasion process
Fouling organisms are transported:
• as adults
• in multispecies assemblages
• under stressful conditions
Transport
• released from predation pressure
Death
Introduction
Fail
Stressors
Stressors
-
+ Species interactions +
Establish
+-
Remain
local
+
-
Spread
-
Stressors
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Fouling community stability during transport and after arrival
reduces
Stress
Diversity
(taxonomical, functional)
+
Fouling
community
stability
Open
space
= function of community age
Propagule
supply
amplifies
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Experimental approach
15 cm
4 months prior to transplantation
2 months prior to transplantation
Site A
1 – 100 kilometres
Site B
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Experimental approach
Before transplantation
After transplantation
4 months
Site A
2 months
4 months
Site B
2 months
4 months 2 months
Site A
Site B
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Experimental approach
Monitoring
Abundances of sessile taxa
Bray-Curtis Similarity
Species richness
Functional richness
Open space
North Sea fouling community
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Experimental approach
Bray-Curtis Similarity Index
2 wks
4 wks
20 %
30 %
6 wks
8 wks
10 wks
50%
65 %
80 %
90
Bray-Curtis similarity (%)
Monitoring
80
70
60
= speed of convergence
50
40
=
30
20
1
community stability
10
0
0
2
4
6
time (weeks)
8
10
9
Global replication
Coquimbo, Chile
Niterói, Brazil
Funchal, Portugal
Newcastle, England
Tvaerminne, Finland
Kuala Terengganu, Malaysia
Hobart, Australia
Tokyo, Japan
Leigh, New Zealand
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Replication in space and time
Country
Spring – early summer
Summer – early autumn
Australia
Brazil
Chile
England
Finland
Japan
Malaysia
New Zealand
Portugal
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Study questions
 Do communities converge?
→ Bray-Curtis Similarity Index
 Is the speed of convergence a function of community age?
→ Analysis of Variance
 Which factors influence the convergence process?
→ Partial Correlation Analyses
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Results
 At 8 out of 9 stations communities converged after transplantation.
No divergence was observed.
Tokyo Bay, Japan
Guanabara Bay, Brazil
100
Bray-Curtis-Similarity [%]
Similarity [%]
100
80
60
40
20
0
0
2
4
6
8
10
80
60
40
20
0
0
4
8
12
16
Weeks after transplantation
Weeks after transplantation
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Results
 In the majority of studies young communities converged faster (ANOVA: p ≤ 0.05).
No difference between successional stages.
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16
2
Older communities converged faster.
Younger communities
converged faster.
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Results
 Factors significantly correlated with convergence speed.
Correlation coefficient r
0.20
0.10
0.00
-0.10
-0.20
± 95 % CI
-0.30
-0.40
Open space
Species richness
Predictors
Functional richness
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Conclusions
 Founders did not determine the course of succession.
 Age matters: older fouling communities were more stable.
 Amount of open space and species richness did not
affect community stability.
 Functional diversity matters: more functional groups made
communities more stable.

matters: replication in space identifies relevant factors.
 Cleaning of ship hulls: the more often the better.
 Special attention should be paid to the transport of
constructions with long residence times: e.g. platforms.
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The people who did all the work….
Erik Bonsdorff
Manfred Kaufmann
Masahiro Nakaoka
Martin Wahl
Catiá Carvalho
Stefanie Keller
Julia Nyström
Annika Weseloh
Liew Hock Chark
Patrik Kraufvelin
Zulkamal bin Radzi
Matthew Whittle
Mauricio Cifuentes
Ina Krüger
Björn Stockhausen
Lisa Wiesmann
Mark Costello
Lars Lauterbach
Martin Thiel
Laura Wunderer
Alistair Hobday
Heike Link
Jeremy Thomason
Takehisa Yamakita
Marc Jochimsen
Bruno Lopes
Thomas Vance
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