Adey CONTENTS 17.1 Introduction ...303 17.2 Caribbean Model Coral Reef Microcosm ...305 17.3 The Operational Imperative...311 17.4 Implications of Microcosm Modeling for Coral Reef Resto
Trang 1Construction and Operation
of Coral Reef Microcosms and Mesocosms
Walter H Adey
CONTENTS
17.1 Introduction 303
17.2 Caribbean Model (Coral Reef Microcosm) 305
17.3 The Operational Imperative 311
17.4 Implications of Microcosm Modeling for Coral Reef Restoration 312
17.5 Summary 312
References 313
17.1 INTRODUCTION
Especially since the second World War, considerable effort has been invested in attempts to maintain and display marine organisms in public aquaria and marine laboratories In addition, in the latter part of the 20th century, numerous hobbyists joined the quest for marine display, with sometimes rather elaborate systems in their homes The most successful of the professional organism main-tenance systems involve the use of sea water, pumped through sand beds or towers, from adjacent, high-quality marine environments (flo-through systems) In some cases, and particularly in the hobby environment, closed aquaculture methods are also employed, mostly using bacterial filtration and/or air-foamed towers (foam fractionation) to remove particulate matter
A large percentage of these aquaculture and flo-through efforts involve coral reef organisms, although usually as individuals of a relatively few species Only rarely does current practice involve any semblance of a coral reef ecosystem, either in terms of metabolism or community structure
An introduction to this literature can be found in both research and aquarium science publications (e.g., references 1 through 5) and in numerous books of varying quality that line the bookshelves
of high-quality aquarium stores These same techniques could be employed in a shoreside laboratory
to hold less sensitive organisms for timed introduction to a coral reef restoration effort, though loading and organism stress issues limit these techniques Biodiversity in such systems, even when water quality can be maintained at high levels, is typically low In large measure, this is due to the filtration of reproductive stages by the water quality–maintaining devices, and to the further destruction of those stages by pumping devices However, some organisms can be reproduced vegetatively or through budding and fragmentation
More appropriate to the subject of the present volume, during the last two decades of the 20th century, a number of research and development endeavors were undertaken to model coral reef 2073_C017.fm Page 303 Friday, April 7, 2006 5:17 PM
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ecosystems in a semiclosed state These projects were carried out at a wide variety of scales, ranging from roughly a cubic meter or so up to 3500 m3 Numerous publications, beginning with reference
6, describe these efforts, and many are cited in this chapter Two works7,8 review the coral reef modeling work of the 1980s and the early ’90s and compare and contrast the various systems The author is aware of nine microcosms and mesocosms specifically constructed to be physi-cal/ecophysiological models of coral reef ecosystems These systems were built by four separate organizations, and provided (to date) roughly 75 years of summed operation.7 Mostly, these units were directed to educational display, with research as a secondary feature A few were constructed primarily to test engineering features of large ecosystem models Only one of these models, a 1680-l Caribbean coral reef (though with a few Indo-Pacific species) operated long term and was also subjected to considerable biodiversity and ecophysiological analysis Although a less comprehensive analysis of some of the earlier systems7 suggested that this system was by no means unique, it is the 1680-l Caribbean system, which operated throughout the 1990s, that provides the significant data on which the conclusions of this chapter are based
The status of microcosms in restoration ecology prior to the mid-1980s was reviewed in 1987.9
In that work, the philosophical basis for physical, living systems modeling was extensively discussed and compared to similar engineering endeavors (such as ship model towing basins and hydraulic models of bays and harbors) There is little point in repeating that discussion here, as virtually all
of it is just as applicable today as it was 18 years ago However, about the time that paper was published, research was initiated on the 1680-l Caribbean model that is the primary focus of this chapter The essential missing ingredient of thatreport, long-term hard data, is now available Hereafter, in this chapter, the unit that provided this data is referred to as the Caribbean Model The Caribbean Model was specifically modeled after the well-developed, shallow-water, bank barrier reef off the southeast side of the island of St Croix, U.S Virgin Islands (for an in-depth discussion of that reef see reference 10) While teaching coral reef ecology and phycology at the West Indies Laboratory of Fairleigh Dickinson University through much of the 1970s, the author had the opportunity to direct and participate in numerous class projects and student papers that related to that very well-developed reef system At that time, there was little direct tourist or industrial effect on the southeast reef, and fishing was minimal and artisanal Also, there had not been significant hurricane impact on those reefs for roughly the prior 50 years Late in the 1970s, based on about 6 years of continuous research on this reef complex, a year-long, upstream/down-stream analysis of ecosystem metabolism was carried out.11 That study correlated to reef structure, and geological development and analyses were carried out at several stations stretched down the 25-km length of the reef
The extensive coral reef complex after which the Caribbean Model was patterned faces south-east, largely open to the Caribbean trade winds and seas Yet, it is somewhat protected from the destructive winter “rollers” (large swells out of the North Atlantic) and had developed a roughly 10- to 20-m thick, carbonate reef structure over a period of about 5000 years Based on extensive coring and carbon 14 (C14) dating, portions of the reef were shown to have upward growth rates greater than 10 m/1000 yr Generally, growth rates slowed down as reef flat levels were attained and flat widths further developed Considering the entire pan-tropic coral reef environment, this reef is certainly a strong “performer” (at least it was in the 1970s) Nevertheless, many similarly well-developed coral reefs exist in the Caribbean Sea and West Indies.12
At the time when the metabolism and organism cover studies were carried out on the southeast
St Croix reef, all reef/time stages from submature, with very rapid growth rates, to fully mature, with broad reef flats, were present All major stages were included in the studies that preceded the development of the coral reef models cited in the references for this chapter In this chapter,
“St Croix reefs” specifically refers to the bank barrier reef on the southeast side of St Croix during the 1970s For specific details on the wild-type reefs that relate to the microcosm discussion, consult references 10 and 11 Although physiologically, especially with regard to basic physical–chemical parameters, particularly light and metabolism, the microcosm system was matched to the 5-m-deep 2073_C017.fm Page 304 Friday, April 7, 2006 5:17 PM
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fore reef location on a midsection of the St Croix south reef, community structure was more generally related to a mean of the entire reef.13
17.2 CARIBBEAN MODEL (CORAL REEF MICROCOSM)
In this chapter, to provide a ready reference, I briefly describe the Caribbean Model that is our primary source of experimental data However, for a detailed treatment of background and exper-imental protocol, readers are referred to references 8, 13, and 14
A diagram of the physical layout of the Caribbean Model and its basic “closure state” is shown
in Figure 17.1 As noted above, the 400-l or metabolic unit is ecophysiologically the microcosm match to a specific point on the St Croix reef Water movement, current, and wave action in this primary system are driven by slow-moving, low-shear bellows pumps These prevent significant damage to swimming and floating reproductive stages These pumps also supply water to the Algal Turf Scrubber (ATS), which is a nonfiltration, managed algal community that allows the algal turf species resident in the model reef to colonize the ATS, where photosynthesis and growth conditions are optimal The ATS system is lighted during the dark cycle of the coral reef and thus provides the ability to control the primary chemistry of the water column on a diurnal basis The 1280-l
“refugium,” with human operator interactions, provides the broader scale of organism interactions that keep the model from being a constantly changing patch of that reef This function is particularly important in a nearly closed model Here, normal population fluctuations could provide a dead end
in community structure without the readily available larger reef surface that provides for the immigration and emigration of organisms and/or their reproductive stages
Table 17.1 provides the primary matching physiological conditions of model to wild reef ecosystem in a more static, long-term mode The experimentation that determined the more diurnal, dynamic characterization of the unit, as briefly given below, was carried out for 10 months in 1998
At that time, the 400-l microcosm unit had been operating for about 10 years Both the 400-l microcosm and the 1280-l refugium were in operation and essentially closed (except for a few experimental species) from 1991 to the time of implementation of the experimentation (i.e., about
FIGURE 17.1 Diagram of the microcosm Lights not shown on 400 L metabolic unit; see Adey and Loveland 8 for a detailed mechanical description of this unit Impeller pumps (not shown) deliver water from the right-hand end of the refugium unit to the Algal Turf Scrubber and from the left side of the refugium unit to the wave bucket Distilled water is added to compensate for evaporation.
Experimental coral reef microcosm (5.0 m2; 1,680 L) Import mixed
feed (0.41 g/day) Bellows pumps
8 liter refugium from fish Algal turf scrubber
Export of dried algae
Manual transfer
of organisms
Lighting: Six 400 W metal halides
Wave bucket
Export water: 2 L/day
Manual transfer of exchange water:
2 L/day Import seawater: 2 L/day
Patch sand
Reef
Wave surge
Algal turf scrubber
Unit for metabolic work (0.757 m 2 ; 400 L) Refugium unit (4.29 m 2 ; 1,280 L) 2073_C017.fm Page 305 Friday, April 7, 2006 5:17 PM
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7 years) The model and its refugium had been constructed and fully stocked, from the wild, from about 1988 to 1990
Figure 17.2, Figure 17.3, and Figure 17.4 provide the most essential diurnal and long-term dynamic characteristics of the model, graphically showing diurnal oxygen cycling, long-term diurnal respiration and primary productivity, and diurnal carbonate cycling Those diagrams also show the relationship of those basic metabolic characteristics to wild coral reefs, and especially the
St Croix–type reef The long-term, whole-system (400-l unit) calcification rate of the model was 4.0 ± 0.2 kg CaCO3/m2/yr Although the calcification rate follows from the oxygen/carbonate cycling,
it provides a more direct and summary measure of the ecophysiological “success” of the model This matches the “top” 2 to 4% of reefs worldwide.13 This number cannot be directly related to the
St Croix reefs because those specific data were not collected at that reef However, the upward growth rates of the St Croix reef, as determined by core-drilling and C14 analysis, provide equivalent calcification rates, and these are among the higher rates described for coral reefs worldwide Also, calcification rates of several individual species of stony corals were experimentally obtained by short-term isolation within the model The highest rates, for a branching Acropora species, were 8.1
± 0.7 kg CaCO3/m2/yr This rate is about as high as the highest rates reported from the wild High calcification rate is among the most important characteristics that allow coral reefs to develop their unique structure and topography and consequently their highly diverse community structure It is clear from the metabolism and calcification rates briefly described above, for both wild and micro-cosm coral reefs, that it is possible to match basic reef function in a controllable model
Although many physical/chemical variables of the St Croix reefs were considered in the development of the Caribbean Model design (e.g., key nutrients, diurnal oxygen concentrations, diurnal carbonate cycling and carbon import and export, temperatures, wave action, lighting, etc.),
in summary, ecophysiological success was determined by whole-system calcification rates Primary
TABLE 17.1 Comparisons between Microcosm and St Croix Reefs (annual mean or mean daily range with standard error)
Temperature ( ° C) (am-pm) 26.5 ± 0.03 (n= 365)
− 27.4 ± 0.02 (n= 362)
24.0 − 28.5
Salinities (ppt) 35.8 ± 0.02 (n= 365) 35.5 a
pH (am-pm) 7.96 ± 0.01 (n= 62) − 8.29
± 0.02 (n= 39)
8.05 − 8.35 a
Oxygen concentration (mg l−1 ) (am-pm)
5.7 ± 0.1 (n= 14) − 8.7 ± 0.2 (n= 11)
5.8 − 8.5
GPP(g O 2 m−2 day−1 );
(mmol O2 m−2 day−1 )
14.2 ± 1.0 (n= 4); 444 ±
3 (n= 4)
15.7; 491 Daytime NPP (g O 2 m−2 day−1 );
(mmol O2 m−2 day−1 )
7.3 ± 0.3 (n= 4); 228 ± 9
(n= 4)
8.9; 278 Respiration (g O 2 m−2 h−1 );
(mmol O2 m−2 h−1 )
0.49 ± 0.04 (n= 4); 15.3
± 1.3 (n= 4)
0.67; 20.9 N-NO−2 + NO 2 ( µ mol) 0.56 ± 0.07 (n= 6) 0.28 Calcium (mg l−1 ); (mmol l−1 ) 491 ± 6 (n= 33); 12.3 ±
0.2 (n= 33)
417.2 a ; 10.4
Alkalinity (meq l−1 ) 2.88 ± 0.04 (n= 59) 2.47 a
Light a ( Langleys day−1 ) 220 430 (surface); 220 (5 m deep
in fore-reef)
a Data from Small and Adey, 2001 13
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control of all of these biogeochemical processes was attained through the use of ATS processes
In its essentials, ATS is an algal control system that simulates a large body of water (open-ocean
tropical surface water in this case) through manipulation of an externally sited, coral reef algal turf
community.8 ATS has a 25-year history of development and application and is now used in
commercial-scale aquaculture and landscape-scale surface water purification.15 It is therefore
appli-cable to any scale of coral reef restoration, whether for the development of the actual site, as a
heuristic tool to help the restorationists understand the dynamics of the project, or simply as an
FIGURE 17.2 Comparison between oxygen concentrations of St Croix and the microcosm Standard error bars
shown where n varies for each point; starting from the left: n= 8, 3, 11, 3, 3, 11, 3, 3, 11, 3, 3, 4, 9, 3, 3 St.
Croix data from reference 11 The first set of tank lights comes on at 06:00 h and go off at 18:00 h; the second
set comes on at 08:00 h and goes off at 20:00 h The scrubber lights come on at 19:00 h and go off at 07:00 h 13
FIGURE 17.3 Gross primary production vs respiration Modified after reference 18 Line shows 1:1
relationship.
Microcosm
Microcosm vs St Croix 9.5
9.0 8.5 8.0 7.5 7.0
1 )
6.5 6.0 5.5 5.0 0600
Time
St Croix
400
300
200
2 yr
1 )
100
0
100 Respiration (mol Cm − 2 yr − 1 )
200
St Croix fore-reef Microcosm
300 2073_C017.fm Page 307 Friday, April 7, 2006 5:17 PM
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organism maintenance tool Note that at small scale, the refugium unit in the Caribbean Model
was employed as just such a management tool for the smaller “metabolic” reef
As described above, in the design and construction of the model, considerable efforts have been
expended to duplicate flow rates (currents) and wave surge and period (though not wave magnitudes
(see Reference 13) In their review of coral reef biogeochemistry, Atkinson and Falter20 conclude that
these are indeed critical factors In this chapter, as in all precedent studies, the author has emphasized
the role of low nutrients, as have most workers in the field Atkinson and Falter20 conclude that the
nutrient factor in reef biochemistry is poorly understood, and perhaps under some conditions not a
significant factor (in the author’s view, this may well be so when light levels are very low, either in
deep reefs or in poorly lighted models) As earlier demonstrated by Adey21 and repeated by Atkinson
and Falter,20 C:N:P ratios are high in macroalgae from wild reef systems with oligotrophic nutrient
levels, but this does not reduce high primary productivity.21 In the same environments, physical energy
(wave surge and current) allows algal turfs to achieve high uptake rates and normal C:N:P ratios (and
thereby achieve the high rates of productivity seen) This same process is repeated in the large-scale
ATS water-cleaning systems now in use to achieve oligotrophic water quality in degraded fresh waters.15
Carbonate skeletal construction (i.e., framework-building) by coral reef organisms, especially
corals, is the key to the development and maintenance of controlled coral reef ecosystems While
it is therefore appropriate to measure the success of coral reef microcosm modeling in part by
measuring whole reef calcification rates, it is unlikely that anyone would consider coral reef
restoration exclusively for the production of carbonate The essential secondary consideration would
certainly be biodiversity Some might argue that fish biodiversity alone is the key element However,
except for the specialty artificial reefs built for anglers, where the fish populations are accepted to
be based on plankton populations and the reef mostly provides structural habitat, broad-band
restored coral reef fish populations can only be maintained with an even greater broad band of
algal and invertebrate biodiversity
Hopefully, considerable efforts are currently underway to define biodiversity in at least a few,
scattered wild reefs However, at this time, the only direct measure of coral reef biodiversity is the
Caribbean Model that is the focal point of this chapter.16 In the 5-m2 , 1680-l volume of that model,
after 7 years of semi-closure, 534 species were tallied by a team of 24 specialists (Table 17.2)
FIGURE 17.4 Daytime carbonate cycle in Caribbean Model, as calculated by nomograph from total alkalinity
and pH 19
Microcosm
Total Alkalinity
95 93 91 89
87 85 83 81 79 77 75
8.02
Time pH
0 2 4 6 8 10 12 14 16 18 20
O2
CO3
CO2 HCO3−
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TABLE 17.2
Families, Species, and Genera Tallied in the Caribbean Model
Plants, Algae, and
Cyanobacteria
Division
Cyanophota
Chroococcaceae 6/5
Pleurocapsaceae 4/2
UID family 4/4
Oscillatoriaceae 8/6
Rivulariaceae 4/1
Scytonemataceae
1/1
Phylum
Rhodophyta
Goniotrichaceae 2/2
Acrochaetiaceae 2/2
Gelidiaceae 1/1
Wurdemanniaceae
1/1
Peysonneliaceae 3/1
Corallinaceae 11/8
Hypneaceae 1/1
Rhodymeniaceae
3/2
Champiaceae 1/1
Ceramiaceae 3/3
Delesseriaceae 1/1
Rhodomelaceae 7/6
Phylum
Chromophycota
Cryptomonadaceae
2/2
Hemidiscaceae 1/1
Diatomaceae 6/4
Naviculaceae 9/4
Cymbellaceae 3/1
Entomoneidaceae
1/1
Nitzchiaceae 6/4
Epithemiaceae 3/1
Mastogloiaceae 1/1
Achnanthaceae 9/3
Gymnodiniaceae
6/4 or 5
Gonyaulacaceae 1/1
Prorocentraceae 2/1
Zooxanthellaceae
1/1
Ectocarpaceae 2/2
Phylum Chlorophycota
Ulvaceae 1/1 Cladophoraceae 4/2 Valoniaceae 2/2 Derbesiaceae 3/1 Caulerpaceae 3/1 Codiaceae 6/2 Colochaetaceae 1/1
Phylum Magnoliophyta
Hydrocharitaceae 1/1
Kingdom Protista
Phylum Percolozoa
Vahlkampfiidae 2/1 UID family 2/2 Stephanopogonidae 2/1
Phylum Euglenozoa
UID family 4/3 Bondonidae 7/1
Phylum Choanozoa
Codosigidae 2/2 Salpingoecidae 1/1
Phylum Rhizopoda
Acanthamoebidae 1/1
Hartmannellidae1/1 Hyalodiscidae 1/1 Mayorellidae 2/2 Reticulosidae 2/2 Saccamoebidae 1/1 Thecamoebidae 1/1 Trichosphaeridae 1/1
Vampyrellidae 1/1 Allogromiidae 1/1 Ammodiscidae 1/1 Astrorhizidae 1/1 Ataxophragmiidae 1/1
Bolivinitidae 3/1 Cibicidiidae 1/1 Cymbaloporidae1/1 Discorbidae 5/2 Homotremidae 1/1 Peneroplidae 1/1 Miliolidae 10/2 Planorbulinidae 2/2 Siphonidae 1/1 Soritidae 4/4 Textulariidae 1/1
Phylum Ciliophora
Kentrophoridae 1/1 Blepharismidae 2/2 Condylostomatidae 1/1
Folliculinidae 4/3 Peritromidae 2/1 Protocruziidae 2/1 Aspidiscidae 7/1 Chaetospiridae 1/1 Discocephalidae 1/1 Euplotidae 11/3 Keronidae 7/2 Oxytrichidae 1/1 Psilotrichidae 1/1 Ptycocyclidae 2/1 Spirofilidae 1/1 Strombidiidae 1/1 Uronychiidae 2/1 Urostylidae 4/2 Cinetochilidae 1/1 Cyclidiidae 3/1 Pleuronematidae 3/1 Uronematidae 1/1 Vaginicolidae 1/1 Vorticellidae 2/1 Parameciidae 1/1 Colepidae 2/1 Metacystidae 3/2 Prorodontidae 1/1 Amphileptidae 3/3 Enchelyidae 1/1 Lacrymariidae 4/1
Phylum Heliozoa
Actinophyridae 2/1
Phylum Placozoa
UID Family 5
Phylum Porifera
Plakinidae 2/1 Geodiidae 5/2 Pachastrellidae 1/1 Tetillidae 1/1 Suberitidae 1/1 Spirastrellidae 2/2 Clionidae 4/2 Tethyidae 2/1 Chonrdrosiidae 1/1 Axinellidae 1/1 Agelasidae 1/1 Haliclonidae 4/1 Oceanapiidae 1/1 Mycalidae 1/1 Dexmoxyidae 1/1 Halichondridae 2/1 Clathrinidae 1/1 Leucettidae 1/1 UID family 2/?
Eumetazoa
Phylum Cnidaria
UID family 3/?
Eudendridae 1/1 Olindiiae 1/1 Plexauridae 1/1 Anthothelidae 1/1 Briareidae 1/1 Alcyoniidae 2/2 Actiniidae 3/2 Aiptasiidae 1/1 Stichodactylidae 1/1 Actinodiscidae 4/3 Corallimorphidae 3/2
Acroporidae 2/2 Caryophylliidae 1/1 Faviidae 3/2 Mussidae 1/1 Poritidae 3/1 Zoanthidae 3/2 Cerianthidae 1/1
Phylum Platyhelminthes
UID family 1/1 Anaperidae 3/2 Nemertodermatidae 1/1
Kalyptorychidae1/1
Phylum Nemertea
UID family 2/2 Micruridae 1/1 Lineidae 1/1
Phylum Gastrotricha
Chaetonotidae 3/1
Phylum Rotifera
UID family 2/?
Phylum Tardigrada
Batillipedidae 1/1
Phylum Nemata
Draconematidae 3/1
Phylum Mollusca
Acanthochitonidae 1/1
Fissurellidae 2/2 Acmaeidae 1/1 Trochidae 1/1 Turbinidae 1/1 Phasianellidae 1/1 Neritidae 1/1 Rissoidae 1/1 Rissoellidae 1/1 Vitrinellidae 1/1 Vermetidae 1/1 Phyramidellidae 1/1 Fasciolariidae 2/2 Olividae 1/1 Marginellidae 1/1 Mitridae 1/1 Bullidae 1/1 UID family 4/?
Mytilidae 2/1 Arcidae 2/1 Glycymerididae 1/1 Isognomonidae 1/1 Limidae 1/1 Pectinidae 1/1 Chamidae 1/1 Lucinidae 2/2 Carditidae 1/1 Tridacnidae 2/1 Tellinidae 1/1
(continued)
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Since some groups of algae and invertebrates were omitted from the tally due to the lack of a specialist, the authors estimated that the system actually contained about 800 species Except for a dozen species undergoing manipulation and a few long-lived fish species, this microcosm had been closed to organism import for 7 years prior to analysis; therefore, most of the 500+ species were reproductively maintaining their populations Based on the biodiversity of this
model, and using the relationship S = kA z, it has been estimated that the pantropic biodiversity
of wild coral reefs must be at least 3 million species One must conclude therefore that unless wild coral reefs have a considerably higher biodiversity (the previous maximum estimate being
1 million species17), microcosm models can be successful in biodiversity as well as ecophysio-logical terms
A glance at the family list in Table 17.2 shows that the biodiversity of this system was very widely based A few of the reported 230+ families tallied in the Caribbean Model have a half-dozen species in two to five genera However, most families have only a single species Thus, while the system is oriented toward the relative success of smaller organisms (e.g., protists and annelids), and at least for the larger organisms, the lower-to-middle levels of food webs, it does not have an ecophysiology that is selecting for a limited range of food web and community structure charac-teristics The number of functionally closely related species is likely limited, simply by space (i.e., the small size of the model) There is no room for “pulsing” between adjacent patches in this small model, and species that occupy the same ecological niches cannot coexist because of distance, as many species will be able to do in a large wild coral reef While species diversity is high by any measure,16 family diversity for such a small system is likely to be truly extraordinary The linking
of several separate systems through piping and nonstressing pumps would likely proportionally increase species diversity by simulating adjacent patches In a more sophisticated system, organism cross-access to those patches could be controlled by gates or organism-specific filters; in short, they could function as controlled refugia This bodes well for the reef restorer who would invest the considerable effort to work with whole coral reef ecosystems and not a limited subset of the more visible or spectacular species
TABLE 17.2
Families, Species, and Genera Tallied in the Caribbean Model (Continued)
Phylum Annelida
Syllidae 3/2
Amphinomidae 1/1
Eunicidae 3/1
Lumbrineridae 1/1
Dorvilleidae 1/1
Orbiniidae 1/1
Spionidae 1/1
Chaetopteridae 1/1
Paraonidae 1/1
Cirratulidae 4/3
Ctenodrilidae 4/3
Capitellidae 3/3
Muldanidae 1/1
Oweniidae 1/1
Terebellidae 2/1
Sabellidae 14/4
Serpulidae 6/6 Spirorbidae 2/2 Dinophilidae 1/1
Phylum Sipuncula
Golfingiidae 1/1 Phascolosomatidae 3/2 Phascolionidae 1/1 Aspidosiphonidae 3/2
Phylum Arthropoda
Halacaridae 1/1 UID family 2/?
Cyprididae 2/2 Bairdiidae 1/1 Paradoxostomatidae 1/1
Pseudocyclopidae 1/1 Ridgewayiidae 2/1 Ambunguipedidae 1/1 Argestidae 1/1 Diosaccidae 1/1 Harpacticidae 1/1 Louriniidae 1/1 Thalestridae 1/1 Tisbidae 1/1 Mysidae 1/1 Apseudidae 2/1 Paratanaidae 1/1 Tanaidae 1/1 Paranthuridae 1/1 Sphaeromatidae 1/1 Stenetriidae 1/1 Juniridae 1/1
Lysianassidae 1/1 Gammaridae 4/4 Leucothoidae 1/1 Anamixidae 1/1 Corophiidae 1/1 Amphithoidae 2/2 Alpheridae 2/2 Hippolytidae 2/1 Nephropidae 1/1 Diogenidae 1/1 Xanthidae 2/?
Phylum Echinodermata
Ophiocomidae 1/1 Ophiactidae 1/1 Cidaroidae 1/1 Toxopneustidae 1/1 Holothuriidae 1/1 Chirotidae 1/1
Phylum Chordata
Ascidiidae UID species 1/1 Grammidae 1/1 Chaetodontidae 1/1 Pomacentridae 5/4 Acanthuridae 1/1
Note: Ceramiaceae 3/3 = three species in three genera in the family Ceramiaceae UID = unidentified.
Trang 9Lessons Learned in the Construction and Operation of Coral Reef Microcosms and Mesocosms 311 17.3 THE OPERATIONAL IMPERATIVE
Successful microcosm and mesocosm operation requires the monitoring of a large number of physical and chemical factors To a large extent, this can be automated with electronic sensors, and the data can be logged and the system computer controlled Some chemical parameters, such as the low-level nutrients that are characteristic of coral reef systems, still require wet chemistry, though
a once-a-week analysis is usually sufficient in a well-run system (even nutrient sensing and control can probably be automated, but the cost could well be prohibitive for restoration programs) Like any piece of complex laboratory equipment (a scanning electron microscope, for example) a dedicated and highly trained technician is needed to manage the monitoring equipment, though in
a well-tuned system, considerable time can be available for other duties ATS management is effectively manual, though this is typically not a large consumer of technician time until a system exceeds hundreds of cubic meters The ATS system of the Caribbean Model typically required about half an hour per week for physical/chemical maintenance
An operational feature that is rarely discussed, and in practice is mostly anecdotal in expres-sion, is that of population instability A microcosm, in effect, is a few-square-meter patch of a larger coral reef ecosystem In the wild, reef patches of a few square meters can be subject to considerable short-term variability, though stability is achieved to some extent by the smoothing effect of the larger local island or coastal reef that may be measured in square kilometers On the other hand, even large geographic areas can be subject to population explosions Coral reef
scientists learned this in a very vivid way in the 1970s and 1980s when the Diadema populations
in the Caribbean slowly built up to very high densities and then suddenly collapsed Thus, whether the restorer is dealing with an open-water project of many tens of thousands of square meters, a research model, or a holding system for organisms destined for a coral reef being restored, the principles are the same
The type microcosm of this chapter operated in a closed mode, in essentially the same ecological state, for 7 years (nearly 9 years including the period of intense analysis) Nothing that could remotely be described as a “crash” ever occurred in this coral reef model, in spite of occasional physical or electronic failures However, on the scale of several months, single populations of the
system (e.g., Caulerpa spp., various dinoflagellate species, and a few species of polychaete worms)
would undergo a population explosion Usually, this tendency, for which the observant operator typically had weeks of warning time, would last a few months, and then the subject population would reduce to “background” levels Sometimes, the explosion would recur years later; in other cases it was a one-time experience
It has been my experience that microcosms and mesocosms require an ecologist, fully acquainted with “normal” community structure of the “wild-type” system Effectively, that ecolo-gist/operator performs as the highest, and most omnivorous, predator This “variable” predator (if not on vacation or otherwise detained) is instantly available at “full population” to limit short-term population inbalance In a 10-year study of scaling effects on Chesapeake Bay mesocosms, researchers often were able to solve scaling problems by just such ecological manipulation.22 In
the case of Caulerpa and Prorocentrum “explosions” in the Caribbean Model, the operator’s function was obvious, a once-a-week “grazing” (i.e., hand harvest) of the Caulerpa or similarly
a once-a-week scraping and collection of mostly glass surfaces for Prorocentrum until the
explosion tendency subsided In other cases, the short-term introduction of a fish or invertebrate predator (such as angelfish for fire worms) could be quite successful In some cases, it has even been valuable to maintain such “managed predators” in the refugium unit where they are readily available for such service It is the view of some coral reef ecologists, struggling to understand why wild reefs are now apparently rapidly degrading, that extensive (albeit local) fishing (effectively large-scale species manipulation) is the primary factor responsible for reef decline This demon-strates that human interaction with coral reefs can occur at any scale This aspect of microcosm operation has considerable application to coral reef restoration, as will be discussed further below
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17.4 IMPLICATIONS OF MICROCOSM MODELING FOR
CORAL REEF RESTORATION
An extensive ecophysiological as well as biodiversity and community structure understanding of the wild system to be modeled is the primary key to the restoration of coral reef ecosystems The success achieved with the microcosm briefly described herein was based, more than any other single factor, on having an existing, functioning wild ecosystem (and not an elusive ideal) that had
to be matched Most critically, if negative factors of water quality, such as turbidity and nutrients, cannot be returned to the state of the wild system to be emulated, success is unlikely For example, although the direct role of elevated nutrients has not been fully defined (indeed, it is probably quite complex), it appears certain that most coral reef ecosystems require that the primary nutrients, phosphorus and nitrogen, be measured in single digits of parts per billion In the most successful
of the coral reef microcosms discussed in this chapter, primary nutrients were maintained at extremely low levels for many years at a time Nevertheless, if the coral reef restorationist felt that
a particular reef ecosystem could maintain itself in the face of moderate nutrient levels, once its community structure was restored during a period of high water quality, nutrient scrubbing, very large volumes of water (tens of millions of gallons/day) can be achieved if adjacent land surface
is available.15 Alternatively, if coral reefs of restoration interest have been degraded by the low water quality of incoming fresh waters from human activities in nearby terrestrial environments, ATS fresh water systems can scrub rivers, streams, and sewage outfalls of nutrients, sediments,
and toxic compounds Also, in situ culture methods have been devised that can re-establish reefs
destroyed by hurricanes, low water quality, or excessive temperatures.23 However, if return of low water quality or high temperatures cannot be avoided, considerable effort can be expended that will be of little value to long-term reef restoration
Development and operation of the kind of laboratory ecosystem model described in this chapter can be an extremely valuable heuristic tool and can provide ecological experience that could be achieved only over long periods of time on a wild reef Effectively, a microcosm or mesocosm coral reef can be a pilot project carried out prior to the initiation of a full restoration operation While the system described above was operated for a decade, such long-term operation is not essential to success Short-term stability in coral reef models is usually attainable on the scale of months Also, such microcosms are useful in the developing and testing of many experimental protocols Microcosms are often capable of producing experimental results in a shorter time frame than in the wild because variables are more controllable
Finally, restoration of a wild reef will generally require considerable organism manipulation
by a wide range of specialists working as a team Particularly if a high-quality source reef and its organisms are at a considerable distance from the reef to be restored, a moderately sized microcosm (probably a mesocosm in most cases) would be an extremely valuable resource to hold the organisms being manipulated As described above, for the Caribbean Model, success in achieving organism stability in the metabolism unit was assured by having a “refugium” that allowed more-or-less instant manipulation of many organisms Another aspect of ATS-controlled units is the ability to modify such systems, either in the main microcosm or mesocosm, or perhaps more appropriate in
a restoration effort, in a side loop, for aquaculture purposes This has been demonstrated in a large-scale commercial aquaculture for fin fish, and could be modified relatively easily to produce large numbers of a particular species, algal, invertebrate, or vertebrate, that are needed for introduction but are not readily available at reasonable shipping distances
17.5 SUMMARY
Twenty-five years of intensive and repeated ecosystem modeling of coral reefs, as microcosms and mesocosms, has demonstrated this approach to be a viable experimental tool Such a system or systems can provide prior, experimental understanding of the problems to be overcome in a specific