Age is a good predictor for the stability of marine fouling communities – Results from a globally replicated study. Mark Lenz 42nd European.
Download ReportTranscript 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 1 Invasions in the marine coastal environment Marine fouling communities 2 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 4 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 5 Experimental approach 15 cm 4 months prior to transplantation 2 months prior to transplantation Site A 1 – 100 kilometres Site B 6 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 7 Experimental approach Monitoring Abundances of sessile taxa Bray-Curtis Similarity Species richness Functional richness Open space North Sea fouling community 8 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 10 Replication in space and time Country Spring – early summer Summer – early autumn Australia Brazil Chile England Finland Japan Malaysia New Zealand Portugal 11 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 12 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 13 Results In the majority of studies young communities converged faster (ANOVA: p ≤ 0.05). No difference between successional stages. 9 16 2 Older communities converged faster. Younger communities converged faster. 14 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 15 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. 16 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 17