Introduction Directory UMM :Data Elmu:jurnal:J-a:Journal of Experimental Marine Biology and Ecology:Vol240.Issue2.Jul1999:

230 P . Kraufvelin J. Exp. Mar. Biol. Ecol. 240 1999 229 –258 Cerastoderma glaucum realism. Finally the factors and processes restricting mesocosm per- formance are outlined and their consequences are briefly discussed. It is concluded that the degrees of replicability, repeatability and ecological realism are too low for straightforward use of these and probably most other mesocosms in predictive risk assessment or in extrapolation of results to natural ecosystems.  1999 Elsevier Science B.V. All rights reserved. Keywords : Baltic Sea; Community structure; Ecological realism; Mesocosm; Multivariate statistics; Repeatability; Replicability; Rocky shore macrofauna

1. Introduction

It is a disquieting fact that so much of the research in marine mesocosms just seems to have been driven by the need to investigate the fates and effects of pollutants with the consequence that basic underlying information on the principles that govern the functioning of these experimental systems, and of the natural systems of which they are living models, have been given inadequate attention Pilson, 1990. Replicability, repeatability and realism are all important aspects of experimental ecosystems, but nevertheless almost unknown when it comes to larger, more complex systems. Replicability is defined as the degree of similarity of spatially replicated experimental units that are meant to represent the same conditions by definition and design, i.e. in this paper mesocosm controls run during the same year. The term repeatability is used to describe the similarity of responses in independent systems that are observed at different points of time within the same research facility and by use of the same scientific methods, i.e. in this study mesocosm controls run at the same place but during different years. The ecological realism or accuracy of the mesocosm is the degree of similarity between the artificial system and the natural ecosystem mimicked. All definitions originate from Giesy and Allred 1985. The economically and logistically optimal implementation of replicability and repeatability is more or less diametrically opposed to the essential concept of test system realism and a central problem of ecological experimentation Kuiper et al., 1983; Hurlbert, 1984; de Lafontaine and Leggett, 1987. This is mainly due to the fact that all these aspects of mesocosm similarity are related to scale Gamble, 1990; Cairns and McCormick, 1991; SETAC-Europe, 1991; Landis et al., 1997. Ecological realism tends to increase gradually with increasing spatial and temporal scale of a study, while our abilities to replicate and repeat an experiment logically decrease more rapidly, because of the restrictions all artificial designs impose on the included ecosystem parts Carpenter, 1996. Therefore a high degree of replicability and repeatability is generally sacrificed on behalf of ecological realism, which mostly is stated to be the major reason for carrying out a mesocosm study in the first place. Although it has been stressed that the value of a model ecosystem resides in its ability to mimic some real system, not itself Perez, 1995, all these three aspects of internal and external mesocosm similarity are closely interlinked when it comes to interpretation and validation of results. Since all three cannot be met with the same intensity simultaneously and by use of the same P . Kraufvelin J. Exp. Mar. Biol. Ecol. 240 1999 229 –258 231 methods, the scientist is often forced to emphasise one or the other. The typical trade-off from increased ecological realism gained with a larger mesocosm size is less experimen- tal control, often expressed as less information on individual processes, less isolation of cause and effect as well as less ability to define accurately the densities of contained biota, which ultimately makes it harder to interpret results Steele, 1979; Stephenson et al., 1984; Crossland and La Point, 1992. Only a few case studies are available, where the replicability of aquatic mesocosms 3 i.e. artificial ecosystems bigger than 1 m have been thoroughly described Takahashi et al., 1975; Pilson et al., 1980; Brazner et al. 1989; Heimbach et al. 1992; Rosenzweig and Buikema, 1994; Jenkins and Buikema, 1998; Kraufvelin, 1998. The ecological realism of aquatic mesocosms has on the other hand been discussed more frequently e.g. Gearing, 1989; Lalli, 1990; Adey and Loveland, 1991; Clark and Cripe, 1993; Kennedy et al., 1995, although most comparisons between mesocosms and the field have not been very ambitious or innovative Pilson, 1990; Perez, 1995. Precise data on mesocosm repeatability, finally, have never been presented at all. This last finding is least to say surprising, especially taking into account the large number of aquatic mesocosm test systems currently in operation world-wide and the fact that also some insight in repeatability is needed if mesocosms are to be used for prediction of real effects in natural systems Crane, 1997. In the recent paper by Kraufvelin 1998 some problems with the replicability of BHB-mesocosm were pointed out. Coefficients of variation CVs were presented for a large number of variables, many of which previously have been used as test endpoints in the mesocosm in question e.g. Landner et al., 1989; Lehtinen and Tana, 1992; Lehtinen et al., 1993, 1994, 1995, 1996, 1998; Tana et al. 1994. These CVs were generally so high that they would probably have prevented any detection of significant differences between controls and treatments, if only real replicates not ‘simple pseudoreplicates’, as defined by Hurlbert 1984, had been used. Partly in order to accentuate the problem with poor replicability and partly since many large-scale community studies, that more effectively could be analysed by other means, still are stuck with univariate methods, the paper by Kraufvelin 1998 was only concerned with the univariate one-way ANOVA. A more proper ecological approach to analyse this data would have been to carry out some kind of multivariate statistical analysis parallel to the univariate ones. This would increase the understanding of the behaviour of the bladder-wrack macrofauna communities in several replicated and repeated control mesocosms. Comparisons with simultaneous measurements in the field would further strengthen the overall picture of the performance of BHB-mesocosms and other large-scale experimental ecosystems. In this paper I therefore first present the replicability, repeatability and ecological realism of BHB-mesocosms visually by ordination. Then I discriminate the parallel mesocosms replicability, different years repeatability and the mesocosms and mother system ecological realism analytically by various ANOSIM tests. This is first done by using subsampled bladder-wrack plants replicability and then the mesocosms them- selves as replicates repeatability and realism. Note that the former tests do not imply pseudoreplication as long as they are just considered along the line ‘is mesocosm A different from mesocosm B’ and no issues of causality e.g. confounding with treatments are incorporated Hurlbert, 1984. Further objectives include to search for 232 P . Kraufvelin J. Exp. Mar. Biol. Ecol. 240 1999 229 –258 the causes behind the observed patterns in macrofauna community structure and to demonstrate some often overlooked problems when working with living communities. This will be accomplished by examination of bladder-wrack macrofauna communities both in the mesocosms and in the field mother system and by pin-pointing the species and processes basically responsible for observed differences between studied groups. This is possible thanks to the low number of species present in the mesocosms and in the Baltic bladder-wrack zone in general, at least compared to fully marine environments Haage, 1975; Wallentinus, 1991; Kautsky et al., 1992. Finally I discuss the conse- quences of these findings for an effective use of large-scale mesocosms in ecological and ecotoxicological research.

2. Materials and methods