United States Environmental Protection Agency Environmental Research Laboratory Gulf Breeze FL 32561 Research and Development EPA/600/S4-85/039 Aug. 1985 v>EPA Project Summary Field Validation of Laboratory- Derived Multispecies Aquatic Test Systems Robert J. Livingston, Robert J. Diaz, and David C. White A three-year study was carried out to determine the feasibility of using multi- species microcosms of benthic microor- ganisms and infaunal macroinverte- brates to predict the responses of estuarine systems to toxic substances. Criteria were developed to evaluate the field validation of laboratory micro- cosms. Simultaneous laboratory/field experiments were carried out in the Apalachicola Bay system in Florida, and the York River estuary in Virginia, to test the potential for extrapolation of validation results from one ecological system to another. The study demon- strated that microcosms of microor- ganisms and infaunal macroinverte- brates can be established for short periods (5-6 weeks) and that the micro- cosms can be used to simulate specific features of field assemblages within the range of uncertainty that is charac- teristic of natural systems. Moreover, validation results can be extrapolated from one system to another as long as the systems share common habitat fea- tures and dominance relationships of important populations. Water quality in the microcosms' es- sentially paralleled that in the field, al- though variation of certain water fea- tures and sediment characteristics was noted. These laboratory, artifacts were apparently caused by the isolation of the microcosms from natural phenom- ena of the estuarine environment that were not replicable in the laboratory. Physical habitat features and biological responses in the respective study areas were extremely complex and highly variable in space and time. Factors, such as water and sediment quality. predator-prey relationships, recruit- ment, and dominance relationships among infaunal populations influenced the community structure of benthic or- ganisms in the laboratory and the field. However, the relative influence of phys- ical and biological factors varied con- siderably between habitats and through time. Consequently, the extent to which the microcosms paralleled field conditions depended to a consid- erable degree on the time of testing and dominance/recruitment features of the system in the source area. This Project Summary was devel- oped by EPA's Environmental Research Laboratory, Gulf Breeze, FL, to an- nounce key findings of the research project that is fully documented in a separate report of the same title (see Project Report ordering information at back). Introduction The basic question underlying the considerable effort to understand pollution-induced changes in aquatic systems is well established: what is re- quired to predict the environmental ef- fects of a toxicant or stimulatory sub- stance on a given ecological system? With the recent development of sophis- ticated toxicological methods to evalu- ate acute and chronic effects of toxi- cants on laboratory populations, the question then becomes: what is re- quired to establish a reliable measure of the capability of specific laboratory test systems to predict actual environmental effects of a given toxic agent? We define the process of field valida- tion as the testing of the capacity of ------- cific laboratory test systems to predict the environmental responses of natural ecosystems, or portions thereof, to toxi- cants. Once a test system is validated, it provides a means of generating toxico- logical data that can be realistically cor- related with expected field impacts. The process of validation necessitates two pursuits: selection of a particular test system and acquisition of knowledge about the natural variation and dynam- ics of field populations from which the test system is derived. Without knowl- edge of ecosystem structure and func- tion, it is practically impossible to evalu- ate toxic effects. The focus of our three-year project has been microbial and infaunal macro- invertebrate communities of unvege- tated soft sediments of shallow estuar- ies in Florida (Apalachicola Bay system; Florida State University) and Virginia (York River estuary; Virginia Institute of Marine Science). Our principal objec- tives were (a) to evaluate the capacity of the laboratory test as a realistic analog or simulation of the natural community from which it was derived and (b) to develop criteria for field verification of laboratory results. The evaluation con- sidered validation at three levels: physico-chemical differences, differ- ences in population and community structure, and functional differences be- tween full-field and semi-field treat- ments and laboratory microcosms. Re- sults of such tests are being applied to current experiments that concern the predictive capability of microcosms ex- posed to toxic substances. Concur- rently, a complete review is underway to determine the potential for extrapola- tion of validation results from one loca- tion to another. Materials and Methods All field and laboratory operations in the respective study areas followed standardized methods. Aside from cer- tain differences inherent in the two study sites, experimental procedures were carried out in a comparable man- ner. Prior to the initiation of the project, all background field data from the study areas were updated and evaluated to establish a preliminary protocol for the full-laboratory, semi-field, and full-field treatments. Based on preliminary analy- ses of background data, the spatial lim- its and frequency and location of sam- pling were determined. The study sites in the Apalachicola Bay system (East Bay and St. George Sound) were shallow [1-2 meters (m)], unvegetated soft-bottom areas located in oligohaline (stations 3, 5A) and poly- haline (station ML) areas. Sediments in the oligohaline areas were silty sand, whereas sediments in the polyhaline zone were largely fine sands (1-2% silt- clay). The York River study site was a shallow (1.5 m), unvegetated soft bot- tom located in the meso-polyhaline por- tion of the estuary. Microcosms were constructed of a series of cores collected with hand- operated box corers (10 x 20 centime- ters (cm); 10 cm deep). Core samples were placed in trays on sea-water tables in the same arrangement as the original field orientation of the cores. The size of each microcosm was 0.8 to 1.0 square meters (m2). Light, temperature, and salinity regimes followed field condi- tions. Synoptic biological sampling of microcosms and field was done ran- domly with coring devices (5 cm, VIMS; 7.5 cm, FSU). Sieves of mesh sizes 250 and 500 micrometers ((Jim) were used for the infaunal macroinvertebrates. Mi- crobial samples were taken from field areas and laboratory microcosms with a 3.2-cm-diameter corer and analyzed for lipids and fatty acids. Four field-laboratory experiments were carried out over a 2-year period. The tests were conducted during spring and fall periods of peak biological activ- ity and change in the respective study sites. Although some changes were made to the sampling program over the study period, a basic protocol was de- veloped and followed for experiments at both sites. The approach was to sam- ple replicated flow-through laboratory microcosms (0.8-1.0 m2) derived from natural soft-sediment areas, simulta- neously with field treatments (exclusion cages, inclusion cages, cage controls) (Figure 1). Variables analyzed during the experi- mental series included numerical abun- dance (total number of individuals and dominant populations), numbers of species, and species diversity. All analy- ses were carried out with and without Iog10(x+1) transformations. A nested ANOVA analysis to test for differences between laboratory microcosms was carried out with 250- and 500-ji.m sieve fractions (macroinvertebrates) and mi- crobial parameters. To test the null hy- pothesis that no significant difference existed among field and laboratory treatments with respect to the variables listed above, selected ANOVA models were employed. A one-way ANOVA was run on all treatments by sampling period. A randomized block repeated- measures ANOVA was used with the field data with location as the blocking factor and time as the repeated mea- sure. Tukey's method of multiple com- parisons was used to test the differ- ences between all possible pairs of means. Analyses of qualitative changes in infaunal assemblages were carried out using "rho" and Czekanowski simi- larity coefficients and the flexible grop- ing strategy with beta = -0.25. Results and Discussion Experimental Program: Florida State University The relationship of laboratory micro- cosms to field conditions depended on a number of variables that changed de- pending on time and the location of the test. During the spring experiments in an oligohaline area, significant differ- ences were noted for total numerical abundance and species richness of macroinvertebrates because of labora- tory artifacts in recruitment. Similar ex- periments in the spring in polyhaline areas led to increases of the dominant polychaete, M. ambiseta, in the labora- tory microcosms, paralleling changes in the field predator-exclusion treatments. Such changes in recruitment and possi- ble predation effects could have led to significant differences of various com- munity features between the laboratory and field assemblages of microorgan- isms and infaunal macroinvertebrates. The fall tests in oligohaline areas showed significant differences between laboratory and field treatments as a re- sult of blooms of the oligochaete Wapsa grandis in the laboratory microcosms. These differences became significant after the fifth week of testing. Fall exper- iments in the polyhaline areas also re- sulted in significant differences because of low numbers of individuals and re- duced recruitment in the laboratory treatments relative to the field. Factors such as spatial habitat gradi- ents, temporal changes in population processes, and changes in the influence of predation pressure all contributed to the complexity of the validation pro- cess. Also, the initial establishment of the microcosms and continued sam- pling led to observed differences be- tween the laboratory microcosms and natural field conditions. However, the broad spectrum of information pro- ------- 18 meters (59 ft) FA - Screened Exclusion FB = Screened Inclusion FC - Control FC FA FB \+-4m-+\2m\ 2m FA FA FC T 6m 10m 38 m (125 ft) Figure 1. Diagram showing placement of cages (inclusion/exclusion capes), cape controls. and full-field sampling areas. vided by microcosms produced indices such as species richness that were rela- tively conservative indicators of field conditions. Thus, field validation of macroinvertebrates can be qualified within known limits of spatial and tem- poral variability based on specific eco- logical conditions in a given area. The results with microorganisms il- lustrated several points: (1) fatty acid analysis, combined with multivariate statistical techniques, was a powerful means of comparing the structure of dif- ferent microbial communities; (2) mi- crocosms may or may not mimic natu- ral microbial communities; and (3) microbial communities from similar environments but different ecological conditions may show a wide range of response when isolated in the labora- tory. This technique should have great potential in evaluating a microbial com- munity's response to toxic substances. The major shortcoming of the micro- cosm approach is our current inability to interpret the significance of changes in particular fatty acids. Based on this study, it can be concluded that not all sediments will mirror the field to the same degree when placed in relatively complex microcosms. Our findings showed the importance of biological control of microbial communities in the estuarine environment and the need to include biological as well as physical factors in the design of model labora- tory systems. A priori, without knowing the specific ecology of a particular site, one cannot conclude that a reasonably designed microcosm will always simu- late the field. Experimental Program: Virginia Institute of Marine Science In the context of microcosm research, it is not necessary that we know the causes of population fluctuation but only that fluctuations occur. It is the in- teractive nature of the community and the environment that generates the fluc- tuations we observe. So, in evaluation of a microcosm toxicity test, it is neces- sary to consider the broad, total- community approach. We should avoid singling out one species for assessing toxicity. Long-term population dynamics will result in periods when any given spe- species may be present in low abun- dance. This would make repeated test- ing difficult if those species in low abun- dance were needed. Also, at any laboratory conducting community mi- crocosm tests, it is essential to know the natural population fluctuations. Other- wise, major changes in the community associated with natural cycles would be missed, making interpretation of micro- cosm results difficult or misleading. The total community represents a single en- ergetic entity. From year to year, about the same amount of energy flows through the community. Although indi- vidual species patterns are different from year to year (and consequently the amount of energy flowing through each species is different), the total energy budget is relatively constant. The following findings exemplify the need to consider the total system: 1. Tharyx sp. declined by a factor of 10 from 2,000 m~2 in 1983 to 200 m~2 in 1982. The Mediomastus ambiseta population increased from low abundances in early 1980 to peak in mid-1982 and declined through 1983. Paranais littoralis did not have successful recruit- ment in 1980 or 1981, and it was not even a community dominant until 1982. Most of the dominant species exhibited some year-to- year variation that might make re- peated testing difficult if it were based on a single species. ------- 2. The major natural fluctuations in the community were associated with recruitment. Should the initia- tion of a microcosm test unknow- ingly coincide with recruitment, populations could increase or de- crease by orders of magnitude in test treatments. The onset of re- cruitment can generally be easily identified from the size of individu- als. It is the subsequent decline of the recruitment peaks that could cause problems of interpretation. Without knowledge of the natural timing of these declines, it might be difficult to identify toxic effects. The species that consistently ex- hibited highest mortality after re- cruitment from 1980 to 1983 were Paranais littoralis, Streblospio benedicti, and Heteromastus fili- formis. 3. Overall, there was about the same density of individuals in 1980, 1981, and 1982 (defining the year from October to September to bet- ter coincide with recruitment). In 1983, the density dropped by a third. In 1980 and 1981, popula- tions of the dominant annelids were about the same size both years. Based on this fact and the assumption that total yearly pro- duction can be partitioned be- tween species and still remain con- stant from year to year, it seems likely that the total production for the York River site was the same in both 1980 and 1981. We have not looked at the size of individuals in 1982 and 1983 to see whether this is the general trend. The impor- tance of this productivity to micro- cosm testing is in understanding the interactive nature of the com- munity. If one species is in low abundance for a given year, then another may be more abundant and offset the loss in productivity. Although the community structure changes, the functioning of the community remains unchanged. Microcosms need to capture this functional response to represent field response truly. A broad view of all parts of the com- munity was needed to see the relation- ship between the laboratory micro- cosm, which is the target of interest as a tool to judge environmental conse- quences of toxicants, and the field. Clus- ter analysis indicated that during Test 1 (spring of 1982) the microcosms be- haved very much like the field, but in Test 3 (spring of 1983) they did not. Ap- parently, in the spring of 1983, recruit- ment into the microcosms was reduced relative to the field, possibly because of some laboratory artifact or timing of the test relative to recruitment peaks. Re- sults of the fall tests were consistent, with recruitment being less in the mi- crocosms. With this understanding that recruitment into the microcosms will likely be lower than in the field, because of the nature of the test system, we can more accurately interpret toxic effects in the microcosms. No one species was able to carry con- sistently sufficient information about the validity of the microcosm test sys- tem. Analysis of the variation in individ- ual species abundance within and be- tween tests showed that most species did not have a consistent response to the full-field, semi-field, or microcosm treatments. The exception was Phoro- nis sp., whose populations were always lowest in the microcosms because of an artifact of the test system (larger indi- viduals live deeper than 10 cm in the sediment and were damaged when the microcosms were established). It seems that the behavior of the natural system, and any portion of that system brought into the laboratory, has a stochastic component that precludes taking a few of the species and putting the whole back together again. Preliminary Toxicology Preliminary toxicity tests were con- ducted to evaluate further the validation criteria developed in the previous tests. These experiments were carried out with contaminated sediments taken from the Elizabeth River (VA) to develop techniques for application of a toxicant to laboratory microcosms and field treatments. This sediment had (parts per thousand) concentrations of poly- cyclic aromatic hydrocarbons. Unpol- luted sediments from the York River and Apalachicola estuary were used as treatment controls. Contaminated sedi- ments were applied to enclosures over a twenty-four hour period to allow set- tling of this sediment. Even with nomi- nal toxicant concentrations, certain problems were noted concerning the re- sponse of the laboratory microcosms and field treatments to the toxicants: 1. Overall, simultaneous laboratory- field experiments require close at- tention to the mode of application with comprehensive chemical analysis to evaluate equivalence of exposure while specific objectives of the validation process are ful- filled. 2. Close chemical surveillance is nec- essary concerning the distribution of the toxicant. 3. Field treatments should be carried out in such a way that control areas are not contaminated. 4. Protocols for treatment should be developed so that recognizable but transient effects are noted without causing persistent adverse impact on the infaunal biota. In summary, the nominal toxicant test indicated that the establishment of the microcosm treatment was the most sensitive part of the experiment. Most of the variation in abundance and changes in species could be attributed to the microcosm treatment. Through the course of the experiment, micro- cosms exposed to hydrocarbon- contaminated sediment showed the greatest degree of change. This sensi- tivity of the laboratory microcosms to toxic stress was documented even though there was a considerable contri- bution to the variance from the treat- ments. The exposure was possibly not as effective in the field treatments be- cause of differences between laboratory and field conditions in terms of water volume and the even distribution of contaminated sediments. This problem may have reduced the component of variance caused by exposure to con- taminated sediments. Conclusions and Recommenda- tions The laboratory microcosm approach has considerable potential for evaluat- ing microbial or macrobiological re- sponses to natural disturbances or toxic effects in the field, multispecies micro- cosms have the advantage of incorpo- rating various forms of community level information into the experimental de- sign; such information is not available in single-species tests. However, be- cause of the extremely complex rela- tionships of such associations, a thor- ough knowledge of the ecology of a given site is necessary for a reasonable application of laboratory-to-field or field-to-field extrapolations. Field conditions in the study areas were characterized by short-term distur- bances (i.e., wind and tidal currents) and seasonal changes in the physical environment. The microcosms followed 4 ------- various physical aspects of the field habitat rather closely. However, storm- induced disturbances were not repli- cated and current regimes in the field were not simulated in the laboratory. Despite slightly increased accumulation of silt under laboratory conditions rela- tive to the field, no significant changes were noted in various sediment proper- ties among laboratory and field treat- ments. Biological interactions in the field were complex and highly variable in space and time. Physico-chemical habi- tat changes, predation, and recruitment influenced the macroinvertebrate as- semblages with differential effects ex- erted along habitat gradients and dur- ing different seasons of the year. Changes in the macroinvertebrate as- semblages in the microcosms were due, in part, to alterations during trans- fer from field to laboratory, lack of motile predators in the laboratory, and altered recruitment. Such changes ap- peared to depend on the timing of the test and the natural assemblages of macro!nvertebrates in the source areas at the initiation of the microcosm. Experiments carried out in two differ- ent estuaries showed that the basic con- trolling features and microcosm re- sponse relative to the field were quite similar. The initial establishment of the microcosm and time-based alteration of recruitment in the laboratory micro- cosms were the most important ele- ments contributing to changes in the microcosms relative to field conditions. The timing of the test, relative to sea- sonal changes in recruitment, was also an important aspect of the validation process. Thus, correct interpretation of microcosm results relative to field pro- cesses depends on an understanding of natural community processes. No sin- gle species in the laboratory was consis- tently representative of field conditions either because of laboratory artifacts or because of specific responses of indi- vidual populations to laboratory condi- tions. Our experimental results demon- strated that microcosms of soft- sediment macroinvertebrates can be es- tablished for short periods (5-6 weeks) and that changes in the field popula- tions can be either reflected in the over- all response of the microcosms or accounted for in terms of specific labo- ratory artifacts. Moreover, extrapolation of such results from one system to an- other is possible within the range of un- certainty that is characteristic of natural systems. Just as extrapolation of results from the microcosm to the field cannot, by definition, be a direct process, so too is extrapolation from one ecosystem to another seriously qualified by func- tional differences in community pro- cesses of such systems. With adequate qualification based on ecological knowl- edge of the areas in question, both veri- fication and extrapolation are feasible within the limits of natural variation. The strength of the validation of a given microcosm depends on an as- sessment of the laboratory reaction of populations of individual species within the uncertainty that is natural to ecolog- ical systems. It is recommended that validation processes be evaluated ac- cording to criteria developed by our studies. Further analysis is needed to relate how well microcosms reflect the response of natural ecosystems to toxi- cants. The validation approach pro- posed by our research reflects the need to calibrate laboratory microcosms with established processes in the field. More work is needed to develop validation procedures for processes in natural communities in addition to structural aspects of the estuarine communities that have been emphasized in this re- search. Criteria for Verification Proce- dures The simultaneous use of replicated multispecies microcosms (as defined in Giesy, 1980} and field mesocosms (Grice and Reeve, 1982) to test the vali- dation hypothesis has led to specific ob- servations concerning the relationships of full-field, semi-field, and controlled conditions. Criteria that relate the labo- ratory and field approaches to research of benthic estuarine associations are given in Table 1. Physical and chemical changes in the laboratory sea water quality relative to field conditions are unavoidable. Laboratory artifacts in- clude changes in hydrostatic pressure, and current structure, which may lead to different sedimentation patterns. Pro- curement, transfer, and placement of sediments in the microcosms also sometimes leads to severe alterations of sediment conditions. Specific changes in the microcosm habitat arise from its isolation from the field and are enhanced by surface features of the lab- oratory enclosure. Although the effects of laboratory conditions can be avoided in varying degrees, duplication of field conditions is usually precluded by the conditions imposed on the microcosms. The real problem is to define those as- pects of microcosm function that can be used to explain field conditions. Some features of laboratory micro- cosms are especially difficult to control. Sudden changes of temperature or sed- imentation in the field cannot be repli- cated in the laboratory microcosm. At the same time, the microcosm often acts as a silt trap through time, thus al- tering sediment and water column rela- tionships relative to the field. Whereas natural physical disturbances such as storm effects are lacking in the labora- tory microcosm, other features of the sediment and water column within the microcosm undergo a departure from natural conditions because of the limita- tions imposed by the size of the micro- cosm as compared to a virtually limit- less natural environment. Physical disturbance of the sediments in a given microcosm can be divided into two primary sources of impact: transference of sediments in the estab- lishment of the microcosm and sam- pling during the course of an experi- ment. Our experiments indicated that establishment of the microcosm and separation from surrounding sediments can have an immediate impact on the macroinvertebrate assemblages in the microcosm. Often, certain sensitive spe- species were lost in the transfer; the exact impact of this effect on numerical abundance and species richness varied according to seasonal patterns of rela- tive abundance in the estuarine associa- tions. Results of some experiments indi- cated a deviation from field conditions within time periods of 4-6 weeks. Too- frequent (i.e., weekly) sampling of the microcosm during such experiments also led to alterations in the microor- ganism and macroinvertebrate assem- blages. If the laboratory microcosm was iso- lated from natural benthic assem- blages, recruitment processes were al- tered, as shown in results from both research groups. Such changes can be enhanced by handling of water prior to entry into the microcosm. Another pos- sible recruitment problem is isolation from surrounding populations that propagate through benthic transfer of larvae rather than through plankton. Im- migration is severely restricted. Pat- terns of recruitment and immigration are habitat- and time-dependent. Each species recruitment pattern should be ------- Table 1, Factor/Condition Criteria for Review of the Validation oflnfaunal Macroinvertebrate Microcosms with Semi-field Mesocosms and Full-Field Conditions in Estuarine Systems Full-field Semi-field cage Microcosm Physico-chemical Water source Water supply Currents Sampling effects Light Sedimentation Physical Distur- bance Sediment Com- paction/pore water Sediment temper- ature Sediment pH Substrate depth Hydrostatic pres- sure No effect. No effect. Unaffected; variable in magnitude and direction because of tides and wind effects. Damage to fauna during sampling; slumping of sediment to fill core holes. Unshaded, but low light intensity due to water depth/turbidity Frequent resuspension. Bioturbation by epifauna (e.g., crabs and fishes). Enhanced micro- bial activity. No effect. No effect. No effect. No effect. Variable because of tides, waves. No effect. Flow impeded by screen; some re- cruits set on screen. Slowed by screen mesh; variable in magnitude and direction be- cause of tide. Effects minimized by choice of mesh and cage design. Same as for full-field. Slumped holes may have trapped organics, making attractive site for larval set- ting and immigration. Same as full-field. Possibly enhanced by reduced water flow. May be reduced near edges by scouring. No major ef- fects noted in sediment characteris- tics over 4-9 week periods. Large sediment disturbances ex- cluded, activity of smaller species became more important. Enhanced microbial activity. No effect. No effect. No effect. No effect. Same as full field. Drawn from near bottom, 50-100 m from field and semi-field site. In-pipe setting only in last 15 m; minimal reduction in O2; alter- ations of larval setting. Established by position of input and output and by sediment boxes; invariate once established. No true simulation of tidal and wind-driven currents. Replacement of cores with azoic sediment; migration into azoic sed- iment led to dilution of popula- tions. Because of scaling effect, sampling had more of an impact on the microcosm than under field conditions. Microcosm tanks varied from being partially shaded to a general repli- cation of light intensity in the field. Enhanced by slow water flow in microcosm tank. May be changed by water intake system. Accumula- tion of silt may have been en- hanced beyond the rate in the field. Certain forms of bioturbation were enhanced because of limited area compared to field. However, large- scale disturbance due to storms and tidal currents, not reproduced in microcosms. Compaction reduced by removal from field and subsequent slump- ing; probably gradual compaction as experiment progresses. Flow of pore water restricted, possible changes in granulometric proper- ties. Temperature changes relatively rapid, no insulation; minor differ- ence from field. Sedimentary processes affected pH by shallowness of microcosm, sedi- mentation enhancement, and changes in compaction. Limited escape routes, deep- dwelling organisms eliminated. Vertical organization of macroinver- tebrates altered by depth restric- tions. Usually lower than field; less vari- able. ------- Table 1. (Continued) Factor/Condition Full-field Semi-field cage Microcosm Biological Larval recruitment Predation (large, mobile epibenthic organisms) Immigration Competition Food source No effect. Major impact under specific condi- tions of salinity and at certain sea- sons of the year. No effect. Interference competition may have been important, although complex- ity precluded generalization. No effect. Possibly affected by mesh of cage. Solid substrate may have attracted some species. Affected by mesh size and type. No effects noted in exclusion cages in this series of ex- periments. Impact reduced by exclusion of large mobile predators. Possible effect of screen inserted into substrate and in water column. Same as full field. Possibly enhanced enrichment from cage mesh. Possibly affected by difference in water source; potential change in available recruits due to passage through pipe; solid substrate at- tractive for setting of some species, selective (species-specific) mortality in lab. Same as semi-field. Probably eliminated; most pelagic immigrants were probably de- stroyed by pumps. Same as full-field and semi-field. Possibly altered by seawater sys- tem, microbial effects. evaluated to determine the potential for extrapolation of laboratory results to field conditions. Biological processes other than re- cruitment may be altered under labora- tory conditions. Isolation from natural field processes disconnects microcosm assemblages from interactions with various types of predators. Our experi- ments indicated that the impact of pre- dation on field assemblages of macroin- vertebrates was extremely complex. In addition to gradient effects of salinity on such impact, there were also seasonal differences in the predator influence in the field. During spring periods of maxi- mal influence of predation impact in polyhaline areas of the Apalachicola Bay system, isolation of the microcosm in the laboratory led to increases of dominant populations that follow ob- served changes in exclusion cages in the field relative to inclusion cages and cage controls. Such changes were asso- ciated with altered microbial commu- nity structure. At other times of the year and under oligohaline conditions, no such effects were observed. Direct and indirect effects on natural energy rela- tionships also occurred in the micro- cosms. Such effects may have given selective advantages to certain macro- invertebrate populations. Altered pre- dation pressure, together with unavoid- able restrictions in the depth (and verti- cal population distribution) of the microcosms, may alter competitive in- teractions that occur naturally in the field. The difficulty of demonstrating such complex competitive interactions under field conditions disallows strict generalization. Overall, simultaneous experiments with laboratory micro- cosms, semi-field conditions, and full- full-field conditions indicated that bio- logical interactions comprised an im- portant element in the verification of the predictive capability of microcosms to natural conditions. The laboratory microcosms followed field conditions when viewed as groups of interacting populations rather than as sets of individual populations. Specific community parameters, such as species richness and diversity, and other in- dices of multispecies associations, when qualified by known changes caused by laboratory artifacts, were representative of field situations. Verifi- cation of both microbial and macrobio- logical assemblages was possible only within the bounds of our knowledge of the systems in question. Moreover, the critical factors that determined qualifi- cations (i.e., recruitment, predator-prey interactions, relative species domi- nance) were relatively similar in two en- tirely different experimental areas. Thus, field to field extrapolation of re- sults is also possible when it is based on a thorough knowledge of the subject systems. U. S. GOVERNMENT PRINTING OFFICE: 1985/559-111/20663 ------- R. J. Livingston is with Florida State University, Tallahassee, FL 32306, R. J. Diaz is with the College of William and Mary. Gloucester Point, VA 23062, andD. C. White is also with Florida State University. T. W. Duke is the EPA Project Officer (see below). The complete report, entitled "Field Validation of Laboratory-DerivedMult/species A quatic Test Systems."(Order No. PB 85-214 294/AS; Cost: $ 10.00, subject to change) will be available only from: National Technical Information Service 5285 Port Royal Road Springfield, VA 22161 Telephone: 703-487-4650 The EPA Project Officer can be contacted at: Environmental Research Laboratory U.S. Environmental Protection Agency Gulf Breeze, FL 32561 United States Environmental Protection Agency Center for Environmental Research Information Cincinnati OH 45268 Official Business Penalty for Private Use $300 0000329 ------- |