MARINE ECOLOGY PROGRESS SERIES Vol. 65: 159-170, 1990 Published August 2 Mar. Ecol. Prog. Ser. l

Carbon budgets of the microbial food web in estuarine enclosures*

Bo ~iemann', Helene Munk ssrensen2, Peter Koefoed ~jernsen~,Steen Jesper ~orsted*,Lars Msller ~ensen', Torkel Gissel ~ielsen~,Morten ssndergaard6

' The International Agency for l4C Determination, Water Quality Institute. Agern Alle 15. DK-2970 Hersholm, Arhus Amtskommune, Lyseng Alle 1. DK-8270 Hejbjerg. Denmark Marine Biological Laboratory, University of , Strandpromenaden 5. DK-3000 Helsinger, Denmark Danish Institute for Fisheries and Marine Research, Charlottenlund Castle. DK-2920 Charlottenlund, Denmark Det Danske Hedeselskab, Klostermarken 12. DK-8800 Viborg. Denmark Institute of Biology and Chemistry, University Center, DK-4000 Roskilde, Denmark

ABSTRACT:During 9 to 25 June 1987, carbon budgets were established for estuarine enclosures manipulated by additions of nutrients and suspension-feeding bivalves An intensive sampling program and a detailed examination of autotrophic and heterotrophic nlicroorganlsms enabled construction of carbon budgets of the microbial food web and comparison of flow rates through a number of microbial components. Phytoplankton biomass and production covaried, and, as expected, lowest values were recorded in enclosures with added mussels, and highest values in enclosures with added nutrients. Bacteria and heterotrophic nanoflagellates peaked a few days after maxima in phytoplankton biomass and production. In enclosures with added mussels, biomasses were lower for bacteria and microzoo- plankton, and mesozooplankton, but slightly higher for heterotrophic nanoflagellates. Bacteria, flagel- lates, and microzooplankton, mostly ciliates, dominated heterotrophic processes, whereas larger mesozooplankton ingestion did not exceed 5 % of phytoplankton primary production. Microzooplank- ton and flagellate clearances were higher in enclosures with added nutrients, whereas no such changes were found in the macrozooplankton, probably because the duration of the experiments did not allow full development of the macrozooplankton. The added mussels dominated heterotrophic consumption and controlled organisms > 20 Fm. Exclusion of mussels induced a primary dominance of microzoo- plankton followed by a subsequent increase of mesozooplankton. Additions of nutrients and filtration by suspension-feeding bivalves caused qualitative and quantitative changes at all levels in the microbial food web. These changes were measured from a large number of microbial components and allowed balances of the carbon budgets to be made as well as identification of factors controlling the structure and function of the pelagic carbon cycle.

INTRODUCTION methodological improvements in the field of microbial ecology have facilitated a number of direct studies on In pelagic environments, decomposition of phyto- the role of bacteria in aquatic ecosystems. It has been plankton production may follow several major routes, demonstrated that (1) bacteria constitute a significant of which zooplankton grazing and bacterial degrada- part of total microbial biomass (Azam & Ammerman tion of dissolved organic compounds are considered the 1984, Fuhrman et al. 1989), (2) a substantial part, and in major ones (e.g. Williams 1981, Azam et al. 1983). some cases, the majority of phytoplankton primary Since Pomeroy (1974) challenged the concept of the production is channeled through bacteria, and (3) bac- traditional phytoplankton-zooplankton food chain, the terioplankton is important not only in the recycling of quantitative importance of these 2 routes of organic nutrients but also in the transport of dissolved organic decomposition has been intensively discussed in the carbon (DOC) to higher trophic levels (Sherr & Sherr literature (see Fenchel 1988 for a review). Recent 1988). Two suggestions were put forward to explain the Contribution No. 525 from The Freshwater Biological new understanding of bacteria in an ecological context. Laboratory. University of Copenhagen The first, 'the cluster hypothesis', suggested a theoreti-

O Inter-Research/Printed in F. R. Germany 160 Mar. Ecol. Prog. Ser. 65: 159-170, 1990

cal scenario for bacterial growth in a very dilute masses of phytoplankton, bacteria, flagellates, micro- environment (the ocean) as well as a possible route for zooplankton, and mesozooplankton, we established transport of bacterial particles to higher trophic levels budgets for the decomposition routes and rates of phy- (Azam & Ammerman 1984, Porter et al. 1988). The toplankton primary production and were able to iden- cluster hypothesis was further discussed by Mitchell tify and compare rates of heterotrophic production in et al. (1985), who suggested that clustering was most natural microbial assemblages. important in thermocline regions, where reduced tur- bulence and sinking rates of particles provided the necessary conditions for such microscale interactions. MATERIALS AND METHODS Another more direct set of observations demon- strated that choanoflagellates can control the biomass Enclosure experiments were carried out from 9 to of bacteria (Fenchel 1982a, b). Reports of clearance 25 June 1987 in the Limfjord, Denmark, in the harbour rates of heterotrophic flagellates from batch cultures of Ranbjerg. On 8 June, water from outside the harbour (Fenchel 1982a) were within the same order of magni- was filled into 8 transparent, cylindrical plastic tude as those found from natural populations of flagel- enclosures (about 2.5 m deep, 1.5 m in diameter with lates (Andersen & Fenchel 1985, Andersen & Sarensen 0.1 mm thick walls) by means of a motor-driven pump 1986, Bjarnsen et al. 1988). Thus, a carbon link con- with a capacity of about 1.4 1 S-'. Water was pumped nected the measured bacterial production rates with into each enclosure for periods of 10 min, in an attempt formation of new flagellate biomass. to achieve homogeneity between the 8 enclosures. The The efficiency of this organic carbon transport enclosures were fixed to a pontoon bridge. through the 'microbial loop' compared to the respira- The enclosures were manipulated in duplicates by tion loss of carbon has not been well documented. addtions of nutrients and mussels. Two enclosures Ducklow et al. (1986) demonstrated that most of the were unmanipulated controls, 2 contained mussels '4C-glucose added to marine enclosures was respired, ~Mytilusedulis distributed among 3 Japanese pearl nets suggesting that bacteria were not an important source (4.5 mm mesh) suspended in the center of the of carbon for zooplankton. On the other hand, coupled enclosures at 0.5, 1.5 and 2.5 m depth (see Riemann et oscillations between assemblages of bacteria, flagel- al. 1988 for further details), 2 enclosures contained lates, and ciliates (Andersen & Sarensen 1986) indicate nutrients (see below) and 2 contained nutrients and an important periodical transport of carbon up to the mussels. microzooplankton level. Whether such a transport Nitrate and phosphate were added daily to avoid exists between ciliates and mesozooplankton or depletion. We added 210mg NO3-N per enclosure, directly between flagellates and mesozooplankton has corresponding to a final concentration of 7 PM NOs. not been documented. Moreover, direct comparisons and 30 mg PO4-P per enclosure, corresponding to a between carbon transport from particulate phytoplank- final concentration of about 0.4 IIM PO4-P. Water sam- ton production versus carbon from DOC via the micro- ples were taken every day between 10:OO and 11:OO h bial loop to higher trophic levels are not well described. with a 3 1 plastic sampler from 3 depths in the It is possible that clustering of small-sized particles, like enclosures (0.5, 1 and 2 m) and mixed prior to analyses. bacteria, is of greater importance in the nutrient-rich Nutrients. Inorganic phosphate, ammonium and coastal environments than in oligotrophic oceanic nitrate were analyzed according to Murphy & Riley waters. Such a phenomenon allows a trophic connec- (1962), Solorzano (1969), and Crosby (1967). Samples tion between large (mesozooplankton or ciliates) and for determinations of ammonia were preserved by small particles, e.g. bacteria and flagellates, and sug- adding reagents in situ immediately after sampling to gests new feedback mechanisms in the cycling of avoid changes in the concentrations caused by storage organic matter similar to those described in freshwater (Riemann & Schierup 1978). (Porter et al. 1988). Chlorophyll a. Duplicate samples were filtered onto It was the aim of this study to describe the structure 25 mm Whatman GF/C filters and extracted in 96 % and function of the microbial food web in an estuarine ethanol for 20 h without homogenization (Jespersen & environment. In order to follow pools and rates of Christoffersen 1987). The pigment extracts were meas- organic matter within the same water body, we used ured fluorometrically (Aminco 2000) without correc- large plastic enclosures and applied an intens~ve tion for degradation products. Fluorometnc emission sampling program. The water in the enclosures was values were calibrated to absorbance readings from a manipulated by additions of nutrients or benthic sus- spectrophotometer (Beckman 240), using chlorophyll pension feeders or combinations of the two, to create a extracts from larger volumes of water from the same range of photoautotrophic primary productivity and enclosures. Every second sampling day, a supplemen- biomasses. From measurements of activities and bio- tary size fractionation procedure was carried out Riemann et al. Estuarine carbon budgets 161

through 20 pm mesh nets and 2 pm filters. A phyto- brated to measurements of fluorescent microspheres plankton carbon to chlorophyll ratio of 30 was applied. (Polysc~ences Inc., Warnngton, PA, USA), 0.22 to The biomass of autotrophic picoplankton (< 2 l~m)was 1.0 pm in diameter. Biovolumes were converted to car- further evaluated by epifluorescence microscopy bon biomass by multiplying by 0.35 pg C pin-3 (Bjorn- (green excitation) (Caron 1983) sen 1986). Phytoplankton primary production. Equal volun~es Bacterial net production was estimated from In situ of water from the surface (0.1 m), and 1 and 2 m depths measurements of 3H-thymidine incorporation into cold were collected every third or fourth day, mixed, and TCA precipitate (Fuhrman & Azam 1980). Samples of transported to the laboratory in borosilicate bottles 10 m1 were incubated with 10 nM (methyl-3H) thy- placed in a cooling box. midine for 20 or 30 mln. A conversion factor of In the laboratory, 25 m1 subsamples were dispensed 1.1 X 1018 cells mol-' thymidine incorporated was used into Jena glass bottles and received additions of 74 kBq to calculate bactenal cell production (hemann et al. of a hlgh grade NaH14C03 solution (Int. Agency for 1987). Bactenoplankton grazing loss rates were calcu- Carbon 14 Determination, H~rsholm,Denmark). Dupli- lated as average net production minus observed cate samples from each enclosure were incubated at increase in bacterial biomass during 2 successive irradiances of 0, 7.5, 37.5, 75, 250 and 350 pm01 m-' S-' sampllngs (Bj~rnsen1988), assuming grazing to be the for 2 h in an incubator at in situ temperature. Light was only cause of bacterial mortality. provided by cool white daylight tubes (Philips 35W, Flagellates were enumerated from proflavine- colour 33). After incubation, 8 m1 from each sample was stained preparations by epifluorescence microscopy filtered under vacuum (< 10 cm Hg) through a 0.2 pm (Haas 1982). Discrimination between autotrophic and Nuclepore polycarbonate filter. The filter was rinsed heterotrophic flagellates was carried out by switching with 1 m1 of 0.2 )in1 filtered seawater, placed in a 20 m1 between blue and green excitation (for further details, glass scintillation vial and 100 p1 0.5 N HC1 added. see Bjornsen et al. [1988]). Cell volumes were meas- Seven m1 of the flltrate was transferred to a 20 m1 vial ured in the microscope from a subset of 1632 cells containing 100 p1 2 N HC1 and bubbled with atmos- regularly distributed over the entlre data set. pheric air for 30 min. The flux of extracellular organic Biovolumes were converted into carbon biomasses by carbon (EOC) from algae to bacteria was estimated by multiplying by 0.12 pg C ,pm-"Fenchel 1982a, Sherr et serial filtration through 0.6 and 0.2 pm filters and a al. 1983). Flagellate ingestion and clearance rates on recalculation of bacterial EOC uptake by the procedure bacterioplankton were calculated by comparing of S~ndergaardet al. (1985). The size distribution of estimates of daily bacterial grazing loss rates (see bactenal activity was assessed by 3H-thyn~~d~neincor- above) to biomasses of bacteria and flagellates. We poratlon in the < 0.6 pm fraction compared with the assumed that heterotrophic flagellates were the only total. The use of a 0.6 pm pore size filter to separate all bacteriovores. Growth efficiency was assumed to be photoautotrophs from bacteria was necessitated by the 30 O/O (Andersen & S~rensen1986, Bj~rnsenet al. 1988). presence of picoalgae. The light extinction coefficient Ciliates were counted under phase-contrast micro- for each enclosure and date was calculated from light scope using Lugol-fixed samples. The entire content of measurements at 3 depths with a submersible quantum the chamber (10 or 25 ml) or a minimum of 100 cells sensor (LiCor 192SA). Total flux of photosynthetic were counted (Utermohl 1958). Biovolume was esti- active radiation (PAR) from dawn to dusk was meas- mated from measurements of linear dimensions and ured with an aerial quantum sensor coupled to an assuming simple geometric organism shapes. A con- integrator. To calculate daily primary production from version factor of 0.073 from volume to carbon was used the 2 h incubations, it was necessary to calculate PAR (Fenchel & Flnlay 1983). Population clearance were at 2 h intervals through the day. This was done from calculated using 10%ody volumes h-' (Fenchel 1988). integrated hourly measurements of global radiation at To calculate ingestion rates, clearance rates were mul- the Royal hrforce Station In Karup, ca 40 km from the tiplied with the biomass of the food items. Growth laboratory. Daily integrated phytoplankton particulate efficiency was assumed to be 30 % (Fenchel & Finlay and dissolved (EOC) primary production was calcu- 1983, Andersen & S~rensen1986). lated from the 2 h incubations by a computer program Zooplankton >45 pm was sampled in triplicate (Gargas & Hare 1976). every third day. Water was sampled from 5 depths, Bacteria. Cells were enumerated by epifluorescence using a 5 l plexiglass water sampler. Water from the microscopy using the standard acridine orange proce- different depths was integrated and mixed, and vol- dure (Hobbie et al. 1977). Cell volumes were measured umes of 25 and 5 1 were filtered through 140 ,pm and from enlarged black and white photographs exposed to 45 ,pm mesh nets, respectively. Samples were fixed in a screen (Lee & Fuhrman 1987). A total number of 50 buffered formalin (2 % final concentration). Zooplank- cells per filter were measured and the sizing was cali- ton in the sample were counted, identified, and meas- 162 Mar. Ecol. Prog. Ser. 65: 159-170, 1990

ured, using a settling chamber and an inverted micro- scope. Abundance data and length measurements (to

the nearest 1 pm) were converted to biomasses accord- ,A;+" ing to values given in Berggreen et al. (1988) (Acartia 5 - I Dallyaddition ./:.V (N,NM) tonsa), Rodhouse & Roden (1987) (Balanus sp.), Hern- roth (1985) (Podon sp. and Evadne sp.), Johansson 3 - (pers. comm.) (polychaete larvae), Pechenik (1980) (gastropod larvae), and Jespersen & Olsen (1982) (bivalve larvae). Growth in carbon weight was con- verted to carbon consumption using a Qlo of 3.5 (Kior- boe et al. 1982) and a gross growth efficiency of 0.33 A (Kiorboe et al. 1985a, b). 70-@ Mussels. Mytilus edulis were sampled from the Lim- fjord and sorted by size. Individuals of 31 to 39 mm -z 3 50- (mean 34.7 mm) were acclimated under in situ condi- Dailyaddition +a I tions for 2 d before the experiment started. A subsam- m (N,NM) ple of 106 individuals was taken before mussels were .k 30- Z- added to the enclosure and shell length (maximum anterior-posterior dimension), dry weight and content of organic matter were measured. Fifty-one mussels were added to each enclosure, and their filtration rates per day, according to Winter (1973) and Mshlenberg & Riisgdrd (1979), corresponded to the volume of water in the enclosures (see also Riemann et al. 1988). At the end of the expenment, shell length, dry weight (after 2 d at 60 "C), and content of organic mat- ter (loss during 1.5 to 2 h at 500 'C) were measured. The carbon content was assumed to be 5O0/0 of organic weight. The carbon consumption was assumed to be 3 times the growth in carbon weight (Kisrboe et al. 1981).

June RESULTS Fig. 1. Concentrations of (A) phosphate, (B) nitrate, and (C) Inorganic nutrients ammonia in the enclosures. C: controls; N: added nutrients; M: added mussels; NM: added nutrients + mussels Nitrate and phosphate remained low in all enclo- sures untll 16/17 June (Fig. 1). During 13 and 14 June, entire period. Maximum values dunng 12 to 15 June nitrate values ranged from 0.0 to 0.9 pM and phosphate ranged from 52 to 55 }imol m-2 d-l, and temperature 0.3 to 2.0 ,uM, irrespective of additions of nutrients. The for the period was about 15°C. sum of nitrate +ammonium varied from 0.35 to 3.6 FM Quantitatively, marked differences were observed in during 14 and l5 June. After 16/17 June, both nitrate the development of phytoplankton biomass and pro- and phosphate increased, as expected, in enclosures duction (Fig. 2) and in the development of different size with added nutrients. classes of phytoplankton (Fig. 3). Generally, phyto- plankton biomass and production covaried, with max- imum values between 12 and 15 June (Fig. 2). Minor Phytoplankton secondary increases, dominated by autotrophic nano- flagellates (mainly cryptophytes and prymnesiophy- Qualitatively, the phytoplankton communities tes), were found at the end of the period, but a distinct developed more or less similarly in the 8 enclosures. new bloom was found only in enclosures with added During the first 6 d of the period, Skeletonema costa- nutrients. Phytoplankton > 20 pm was dominated by turn and Nitzschia sp. dominated but Eutreptiella gym- Skeletonema costatum, Nitzschia sp. and partly Eu- nastica was also frequently found during the same treptiella gymnastica. Phytoplankton 2 to 20 pm was period and dominated in enclosures with added mus- dominated by autotrophic flagellates, and unicellular sels and nutrients. Irradiance rates were low during the cyanobacteria dominated phytoplankton < 2 pm (data IZlemann et al.: Estuarine carbon budgets 163

Biomass(pg C I-') Production(pg~ 1-'24h-'I

Meso-zooplankton

Fig. 2. Production rates and biomasses of phyto- and bacterioplankton and bio- 20- masses of heterotrophic flagellates, 9 13 17 21 259 13 17 21 259 13 17 21 259 13 17 21 25 micro- and macrozooplankton durinq

9 13 17 21 25 9 13 17 21 25 9 13 17 21 25 9 13 17 21 25 Fig. 3. Production and biomass of autotrophs > 20 kim (m)and < 20 pm (c) during 9 to 25 June June 164 Mar. Ecol. Prog. Ser 65: 159-170, 1990

not shown). At the end of the experiment, the 2 to were no significant differences (t-test, p > 0.01) 20 pm size fraction dominated biomass and production between the mean cell volume in the various in enclosures without mussels (Fig. 3). In enclosures enclosures calculated for the period as a whole. During with added mussels, production rates of the 2 to 20 pm 16 to 25 June, however, the mean cell volume from fraction also dominated, but the biomass of the same enclosures with added mussels were significantly fraction decreased. lower (t-test, p <0.05) than those from other Direct count of picoalgae gave biomass estimates for enclosures. Generation time of the bacterial assem- this size fraction of less than 4 pg C 1-' (overall average blages ranged from 5 to 184 h, with lowest values a few 0.9 yg C 1-l). Even if we assume a fast turnover of this days after the maximum phytoplankton biomass val- pool, the picoautotrophs remain quantitatively negli- ues. During 14 and 15 June, generation time ranged gible compared to other autotrophs and to the pico- from 7 to 19 h in all enclosures. The average for the heterotrophs (i.e. bacterioplankton). On the other hand, whole period was 52 to 67 h in enclousures with added fractionated chlorophyll and 14C-incorporation mea- mussels compared with 41 to 42 h in enclosures without surements indcated biomasses of 40 to 180 pg C l-' mussels. The bacterial biomass ranged from 22 to and production rates of 10 to 20 big C 1-' d-l for the 317 lg C 1-l, with generally lower values in enclosures < 2 pm fraction (single enclosure averages during the with added mussels and higher values in enclosures expenment, data not shown). We suspect that parti- with added nutrients (Fig. 2). cularly the high chlorophyll values for the picofraction may be caused by filtration artifacts, and we attach greater importance to the more reliable direct micro- Nanoflagellates scopic evidence. Consequently, measured values of chlorophyll and 14C-incorporation in the picofraction Heterotrophic flagellates dominated the nanoflagel- were added to the nanofraction, resulting in increases late biomass in all enclosures until 19/20 June. Bac- of 25 % at maximum. teriovory by heterotrophic nanoflagellates was quan- Exudates released from phytoplankton constituted tified in terms of individual ingestion and clearance 28 to 35 O/O of primary production in a11 enclosures, rates and as body volume equivalents cleared per hour corresponding to between 2.0 and 6.4 % dC1 of the (Table 2). The 2 former estimates showed higher values phytoplankton carbon biomass (Table 1). in enriched enclosures and lower values in enclosures with mussels. Clearance rates in terms of body volumes cleared per hour showed least variation between and Bacteria within enclosures, with an overall mean value of 1.0 X 105 body volumes h-' Clearance rates obtained Cell numbers varied from 1.9 to 15 X 106 ml-l. The from body volumes were used in the carbon budget initial decrease in cell number and cell production (see below). (Fig. 2) was due to sedimentation of particles introdu- ced while filling the enclosures. Maximum values of Microzooplankton cell number and cell production were observed 2 to 4 d after the peaks of phytoplankton biomass in all Tintinnids, oligotrich ciliates and rotifers dominated enclosures, and the highest values were found in the biomass (Fig. 4). Generally, the biomass was about enclosures with added nutrients, from which also the 2 times higher in enclosures without mussels compared highest values of phytoplankton biomass and produc- to their controls and slightly higher in enclosures with tion were recorded. The average cell volume of bac- added nutrients. The biomass of oligotrich ciliates teria decreased gradually throughout the study from (dominated by Lohrnaniella oviformis, Strombidium 0.133 pm3 on 9 June to 0.040 11m3 on 25 June. There vestitumand Strombidium spp.) was about the same in

Table 1. Extracellular organic carbon released from phytoplanton: percentage of primary production, and percentage d-' of phytoplankton carbon biomass from the various enclosures. C: controls; N: added nutrients, M: added mussels; NM: added nutnents + mussels. Values in brackets represent CV; n = 5 or 6

Enclosure N M NM

"/o of primary production 28 (13) 35 (16) 32 (20) 28 (12) "/D d-' of phytoplankton carbon biomass 4.6 (3.6) 6.4 (5.2) 3.7 (3.4) 2.0 (1 3) hemann et al.: Estuarine carbon budgets 165

Table 2. Ingestion and clearance rates of heterotrophic nanoflagellates on bacterioplankton. Means and 95 O/O confidence intervals of 16 successive estimates calculated from daily bacterial grazlng loss rates (BGL)

Enclosure Ingestion Clearance (pg C d-' ind-')" (nl h-' ind.-'lb (105 body VO~.h-')'

Control Nutrients Mussels Nutr + Mus Total

a Estimated as BGL (# flagellates)-' Estimated as BGL (# flagellates)-' (bacterial biomass)-' C Estimated as BGL (flagellate biovo1ume)-' (bacterial biomass)-'

Control Nutr~ents Mussets Nutrients+Mussels

Fig. 4. Biomass of selected species in the microzoo- plankton fraction during 9 to 25 June June

all enclosures, although the biomass peak was slightly tion rates and changes in biomass during 12 to 25 June. higher in enclosures with added nutrients. Addition of For this purpose, production rates of heterotrophic mussels decreased the biomass of tintinnids (domi- nanoflagellates were derived from biovolume data, nated by Tintinnopsis labiancoiand T. minutus) and assuming a clearance of 105 body volumes h-' (cf. rotifers (Synchaeta spp.), whereas additions of above) and a carbon growth yield of 30 O/O. Only nutrients increased their biomasses compared with enclosures C and N were considered, to avoid interfer- controls. The biomass of copepod nauplii was of minor ence from mussel filtration. Comparison of grazing importance during the first half period of the experi- losses to microzooplankton biovolume revealed an ment (range 1.6 to 2.5 % of the biomass), but towards average clearance rate of 2 X 10'' body volumes h-' and the end of the experiment, copepod nauplii made out an average ingestion rate of 3.0 body weights d-l. 23 to 78 % (mean 42 %) of the total biomass, mostly Assuming a microzooplankton growth yield of 30 %, because of the decline of ciliate and rotifer populations. the estimated ingestion rate corresponds to a growth Microzooplankton grazing on nanoplankton was rate of about 1 doubling d-l. The rapid increases of evaluated as described above for nanozooplankton ciliate biomass during the first week of the experiment bacteriovory. Grazing loss rates of auto- and hetero- (Fig. 2) confirmed that a growth rate of about 1 dK1 was trophic nanoflagellates were estimated from produc- actually achieved by the microzooplankton. 166 Mar. Ecol Prog. Ser. 65: 159-170, 1990

Mesozooplankton during the period, and thus represent what is available for consumption at the 'next' trophic level. Nanozoo- The only copepods present were Acartia tonsa and plankton consumption rates were estimated assuming Eurytemona sp., and Podon sp. and Evadne dominated a clearance of 10' body volumes h-', while the daily the Cladocera. Larvae of bivalves and polychaetes microzoop1ankton consun~ption was estimated as 3 dominated the meroplankton. The average biomasses times the biomass (see preceeding section and 'Discus- of the mesozooplankton communities were 10 to 29 pg sion') Flux rates through the 'top predators' (i.e. C 1-' in enclosures without mussels and 7 to 8 pg C I-' mesozooplankton and mussels) were based on in enclosures with added mussels. observed biomass increases. A carbon growth yield of 30 % was assumed for all heterotrophs. Phytoplankton primary production and biomass were Carbon budget highest in enclosures with added nutrients. The size fraction 2 to 20 ltm dominated in all enclosures. Bac- During the period 12 to 25 June, a provisional carbon terial net production balanced the calculated food con- budget was established between phytoplankton, bac- sumption of heterotrophic flagellates, except in the teria, nanoflagellates, microzooplankton, mesozoo- enclosures with nutrients and mussels. The calculated plankton, and mussels (Fig. 5). We omitted the first 3 d food consumption of ciliates could be satisfied by auto- of the experiment because sand and detritus particles and heterotrophic nanoplankton production, except in were settling in the enclosures. enclosures with added nutrients without mussels. The In Fig. 5, numbers within the boxes indicate average biomass of ciliates was more than twice as high in biomasses (pg C 1-l) during the period, whereas control enclosures and those with added nutrient com- inward-going and outward-going arrows represent pared with enclosures with mussels. The calculated consumption and production rates, respectively. Pro- ciliate net production was much higher than the zoo- duction rates include observed changes in biomass plankton food consumption in all enclosures. So, effects

0 0 7' 7'12 2 7 zooplankto

-----200pm 2 22 Netphyto-7 plankton a113

Nanophyto. 7 a 217 427 plankton

Gross exudate release

v 1 Disso[vedOrganlc Carbon

a 39 Productionrate pg C I-Id-l

7 Consumptionrap -I d

Fiq 5. Provisional carbon budgets for the microbial food web in the various enclosures. Numbers within boxes indicate averacre b~omasses(pg C I-')during-the period. Inward and outward going arrows represent consumption and production rates, respectively (pg C 1-' d-') hemann et al.: Estuarine carbon budgets 167

of nutrient additions could be followed up to the ciliate DISCUSSION level in the food chain, with most pronounced effect in enclosures without mussels. On the other hand, The applied manipulations of the water in our mesozooplankton biomass was almost the same In con- enclosures induced the expected changes in phyto- trols and in enclosures added nutrient, indicating that plankton production and biomass. Phytoplankton pro- mesozooplankton was not limited by food or could not duction and biomass were increased by addition of respond rapidly enough within the 17 d of the experi- nutrients and decreased by additions of mussels. Addl- mental period. Ingestion by mussels was 2.5 times tion of nutrients changed phytoplankton biomass higher in enclosures with added nutrients, indicating rather than the pools of nutrients during the first half of food limitations in enclosures without nutrients added. the period, and inorganic nitrogen probably controlled Bacteria, flagellates, and ciliates dominated hetero- phytoplankton primary production in all enclosures trophic processes in all enclosures (Table 3), whereas during 14 and 15 June. After 17 June, additions of larger zooplankton ingestion rates did not exceed 5 % nutrients changed the pools of nutrients rather than the of the total primary production. phytoplankton biomass. The bacterial net production followed the same pat- tern as phytoplankton production and biomass, with a Table 3. Total particulate autotrophic and heterotrophic pro- lag period of 3 to 6 d (Fig. 2),suggesting phytoplankton duction, and production of bacteria, and ingestion rates of heterotrophic nanoflagellates, ciliates, and mesozooplankton excretion of organic matter to be one of the major (pg C 1-' d-') from the various enclosures. See Table 1 for substrate donors for bacterioplankton growth. The identification of enclosure symbols directly measured exudate release from phytoplank- ton, however, constituted only 31 to 44 % of the calcu- Enclosure lated bacterial gross production (assuming a 30 % C NMNM growth efficiency of bacteria). Thus, a number of other sources of DOC must have contributed to the sustain- Total autotrophic production 247 381 153 151 ment of the observed bacterial production. Such other Total heterotrophic production 302 586 190 323 sources of DOC may include lysis of organisms during Autotrophic/heterotrophic prod. 0.82 0.65 0.81 0.47 sedimentation or grazing, and excretion from hetero- Bacterial gross production 217 427 113 177 trophic organisms. In any case, autotrophic extracellu- Flagellate ingestion 55 113 59 125 lar release of organic matter alone could not sustain the Microzooplankton ingestion 18 39 13 17 Mesozooplankton ingestion 12754 observed bacterial carbon demand (assuming 30% bacterial growth yield), unless the measured release was severely underestimated. A significant 're-fluxing' of DOC from the microbial loop must be assumed in Enclosure variations order to balance the carbon budget at the bacterio- plankton level. In fact, Jumars et al. (1989) demon- Deviations between duplicate enclosures were tested strated on a theoretical basis that large fluxes of DOC frequently for selected parameters (Table 4). Total vari- available to bacteria originate as byproducts of inges- ations of results obtained from duplicate enclosures tion and digestion by animals rather than direct release were 7 to 37 % of the mean value, with highest values from phytoplankton. for mesozooplankton and lowest values for bacterial Phytoplankton release of exudates constituted 2.0 to production and chlorophyll. 6.4% of phytoplankton biomass per day (Table l), close to theoretical values (Bj~rnsen1988) and results Table 4. Coefficients of variation (CV = SD % of mean) from phytoplankton cultures (Riemann unpubl.). Ssn- between duplicate enclosures presented from selected par- dergaard et al. (1988) described a decrease in the ameters. Means and range of variation and number of samples are given relative release of exudates (% of primary production) from freshwater phytoplankton when nutrients were added, and a similar response was found by Lancelot Range (1983) in a marine environment. This phenomenon was Nltrate 12 not found in the enclosures, probably because succes- Phosphate 8 sion of the algal community towards more nutrient- Ammonia 22 demanding species was delayed owing to low insola- Chlorophyll 7 tion rates. Bacterial production 7 Heterotrophic flagellates 9 The thymidine-based estimates of bacterial produc- Mesozooplankton 37 tion were probably too low during periods with short generation time. Smits & Riemann (1988) demonstrated 168 Mar Ecol. Prog. Ser. 65: 159-170. 1990

that production rates of natural bacterial assemblages sels (Fig. 2), so probably the duration of the experiment from freshwater environments could be severely did not allow full appreciation of the grazing potential underestimated when the generation time drops below of the mesozooplankton. On the other hand, eutrophic 20 h. In fact, generation times ranged from 7 to 19 h in estuanes seem to be characterized by fluctuating phy- all enclosures during 14 and 15 June. Considering that toplankton biomass (Boynton et al. 1982, Nixon & Pil- the highest production rates were also found during son 1983), so the quantitative importance of mesozoo- this period, a possible underestimation can be of sig- plankton and their role in controlling phytoplankton nlficance to the average values in the carbon budget biomass may be limited by their slow numerical (Fig. 5). To what degree bacterial net production rates response. may have been underestimated is impossible to say. The added mussels reduced the biomass of micro- Nevertheless, it seems unlikely that substrate sources plankton (20 to 200 pm) by more than 50 %. The mus- would permit more than a doubling of the production, sels had minor positive effects on nanozooplankton and moreover, generation times would then be biomass, probably due to the reduced grazing pressure unreasonably low compared to published values from the microzooplankton. Enclosures with mussels (Ducklow & Hill 1985a, b, Bjerrnsen et al. 1988, Fuhr- showed slightly lower bacterioplankton biomasses man et al. 1989). than enclosures without mussels, but this effect seemed The carbon budgets seem to balance well between to be mediated by a lower bacterioplankton production bacterioplankton and heterotrophic nanoflagellates rather than via a change in grazing pressure (Fig. 5). and between nanoplankton and microzooplankton The mussels in the nutrient-enriched enclosure showed (Fig. 5). An exception was Enclosure NM, where a a higher growth rate (data not shown) than the mussels concurrence of high biomasses of bacterioplankton and in the unenriched enclosure, and their estimated car- heterotrophic nanoflagellates (Fig. 2) gave rise to bon demand could not be met by the measured particu- unrealistically high estimates of flagellate grazing. In late primary production. Part of the observed mussel rapidly fluctuating populations of microorganisms, the growth might have been based on detritus introduced use of clearance rates from body volumes and ingestion during the filling of the enclosures, but this was also rates based on the calculated clearance and the bac- present in the unenriched enclosures, so the carbon terial biomass produce overestimates. In the NM imbalance in the NM enclosure rather points to a, enclosures peaks of high biomasses of both bacteria perhaps general, underestimation of primary produc- and nanoflagellates were out of proportion to the aver- tion. We assume that sedimentation was similar in all age ingestion rate calculated for the period as a whole. enclosures. Clearance rate, in terms of body volumes per hour, Our carbon budget allowed us to combine qualitative seemed to be the best descriptor of nanoflagellate descriptions with quantitative measurements of carbon grazing (Table 2), whereas ingestion rate, normalized pools and fluxes. Such an approach is far from perfect against biomass, appeared more useful in the case of and many assumptions are made. In general, the car- microzooplankton. Theoretically, assuming Michaelis- bon budgets balanced reasonable well. Major imbalan- Menten/Holling I1 functional response, clearance is the ces occurred only in the NM enclosure at the mussel best descriptor at low food concentrations (Km). Half-saturation constants (Km) for nanoflagel- rates. When ad hoc parameters were applied to esti- late and microzooplankton grazing at about 400 ptg mate flux rates (mesozooplankton growth, microzoo- C 1-' and 50 pg C 1-l, respectively, have been pub- plankton ingestion, and nanozooplankton clearance), lished (Fenchel 1982a, Jonsson 1986), indicating that these parameters were in accordance with literature microzooplankton grazing, but not flagellate grazing, values and theoretical considerations. was saturated in our experiment. This saturation was The carbon conversion efficiency within the hetero- due to high biomasses of autotrophic nanoflagellates, trophic compartments is a crucial parameter for the which also allowed microzooplankton to be the domi- establishment of accurate carbon budgets. We assumed nant part of the microbial food web. a general value of 30 O/O as a compromise among the Mesozooplankton played an almost insignificant role scarce and rather conflicting literature values. Especially in the carbon budgets (Fig. 5) and were apparently for bacterioplankton, the published growth yields span a unable to consume the available production in the range from < l0 to > 80 % (Joint & Morris 1982, Bjsrnsen microfraction (microzooplankton and phytoplankton 1986, Schwaerter et al. 1988). Since we measured bac- > 20 pm). The excess production may either sediment terioplankton net production, a change of bacterial or enter the microzooplankton pool. By the end of the growth yleld would only affect the estimates of bacterial experiment, however, mesozooplankton biomass had carbon demand and thus the extent of required 're- increased considerably in the enclosures without mus- fluxing' of DOC from the microbial food web. Riemann et al.: Estua~.ine carbon budgets 169

The constructed carbon budgets were based on the coupling in pelagic microorganisms in eutrophc coastal model of Azam et al. (1983), by which pelagic organ- waters. Mar Ecol. Prog. Ser 33: 99-109 isms are divided into auto-/heterotrophs and according Azam, F.. Ammermann, J. W. (1984). Cycling of organic matter by bacterioplanktonin pelagicmarineecosystems: microen- to their size: 0.2 to 2 pm (pico). 2 to 20 pm (nano), 20 to vironmental considerations. In: Fasham, M. J. R. (ed.) Flows 200 pm (micro) and >200 pm (meso) (Sieburth et al. of energy and nutrients in marine ecosystems. Plenum Press. 1979). Thus, organisms with cell volumes ranging 3 New York, p. 345-360 orders of magnitude are pooled together. This crude Azam, F., Fenchel. T., Field, J. G., Gray, J. S.. Meyer-Reil, L.-A., Thingstad, F. (1983). The ecological role of water- condensation of the pelagic variety of organisms is columnmicrobesin thesea. Mar. Ecol. Prog. Ser. 10: 257-263 perhaps a major obstacle to reaching an adequate Berggreen, U., Hansen, B., Kjerboe, T. (1988). Food size spectra, description of the carbon flow. The model of Azam et ingestion and growth rate of the copepod Acartia tonsa al. implies a predator-to-prey size ratio of 10. Although during development: implication for the determination of this may be the general case, an increasing number of cooepod production. Mar. Biol. 99: 341-352 Bjernsen, P. K. (1986). Automatized determination of bacteno- studies report efficient grazing on smaller and larger plankton biomass by image analysis. Appl. environ. prey (Rivier et al. 1985, Sherr & Sherr 1987, Fenchel Microbiol. 51: 1199-1204 1988). The enclosure approach allowed us to derive ad Bjornsen, P. K. (1988).Grazing on bacterioplankton by hetero- hoc estimates of flux rates through the different zoo- trophic nanoflagellates. A test of methods. Arch. Hydrobiol. 31 267-274 plankton compartments. The application of these Bjarnsen, P. K.,Riemann, B., Horsted, S. J., Nielsen. T. G., Pock- estimates to other situations, e.g. in situ, may be ques- Steen. J. (1988).Trophic interactions between heterotrophc tionable, since even the application within the data set nanoflagellates and bacterioplankton in manipulated sea- was not without problems. Finally, as noted above, too water enclosures. Limnol. Oceanogr. 33: 409420 little is known about carbon conversion efficiencies of Boynton, W. R., Kemp, W. M., Keefe, C. W. (1982).Acomparative analysis of nutrients and other factors influencing estuarine heterotrophic pelagic organisms. phytoplanktonproduction. In: Kennedy, V. S. (ed.)Estuarine In spite of these shortcomings, the carbon budgets comparisons. Academic Press, New York. D. 69-90 did summarize the major food web characteristics of Caron, D. A. (1983). Technique for enumerationof heterotrophic the enclosed pelagic systems. Suspension-feeding and phototrophc nanoplankton using epifluorescence mi- croscopy, and con~parison with other procedures. Appl. bivalves, when present, dominated heterotrophic con- environ. Microbiol. 46: 491-498 sumption and exerted a strong regulatory control of Crosby, N. T. (1967).The determination of nitrite in water using organisms >20pm. The fundamentally different Cleve's acid. l-naphtylamin-7-sulphonic acid. Proc. Soc. development of enclosures with and without added Wat. Treat. Exam. 16: 51 mussels clearly demonstrated the necessity of includ- Ducklow, H. W., Hill, S. (1985a). The growth of heterotrophic bacteria in the surface waters of warm core rings. Limnol. ing benthic suspension feeders in ecological studies of Oceanogr. 30: 239-259 shallow estuaries. Exclusion of mussels from the Ducklow, H. W., Hill, S. (1985b). Tritiated thymidine incorpora- enclosures induced a microzooplankton dominance, tion and the growth of heterotrophic bacteria in warm core followed by a slowly emerging mesozooplankton rings. Limnol. Oceanogr. 30: 260-272 Ducklow. H. W., Purdie, D. A., Williams. P. J. LeB.. Davies, J. M. importance. The relative superiority of the microzoo- (1986). Bacterioplankton; a sink for carbon in a coastal plankton was probably facilitated by their fast numeri- marine plankton community. Science 232: 865-867 cal response and by the size distribution of the phyto- Fenchel. T. (1982a). Ecology of heterotrophic microflagellates. plankton. Thus, in the absence of pico-autotrophs, bac- 11. Bioenergetics and growth. Mar. Ecol. Prog. Ser. 8: 225-23 1 terioplankton became the only food source for hetero- Fenchel, T (1982b). Ecology of heterotrophic microflagellates. trophic nanoflagellates, which remained a rather pas- IV. Quantitative occurrence and importance as consumersof sive and quantitatively unimportant link from bacterio- bacteria. Mar. Ecol. Prog. Ser. 9: 35-42 plankton to microzooplankton. Fenchel. T. (1988). Marine plankton food chains. A. Rev. Ecol. Syst. 19: 19-38 Acknowledgements. This study was supported by the Danish Fenchel, T., Finlay, B. J. (1983). Respiration rates in hetero- Environmental Protection Agency (The N, P and Organic trophic, free-living protozoa. Microb. Ecol. 9: 99-122 Matter Research Programme 1985-1990) and by the Danish Fuhrman, J. A., Ammerman, J. W., Azam, F. (1980). Bacterio- Natural Research Council. We thank Winnie Martinsen for plankton in the coastal eutrophic zone; distribution, activity technical assistance and Institute of Genetics and Ecology, and possible relations with phytoplankton. Mar. Biol. 60: University of for use of the Rsnbjerg Laboratory. 201-207 Fuhrman, J. A., Azam, F. (1980). Bacterioplankton secondary production estimates for coastal waters of British Columbia, LITERATURE CITED Antarctica, and California. Appl. environ. Microbiol. 39: 1085-1095 Andersen, P,, Fenchel. T. (1985). Bacteriovory by micro- Fuhrman, J. A., Sleeter, T. D., Carlson, C. A.. Proctor. L. M. heterotrophic flagellates in seawater samples. Limnol. (1989). Dominance of bacterial biomass in the Sargasso Sea Oceanogr. 30: 198-202 and its ecological implications. Mar. Ecol. Prog. Ser. 57: Andersen, P,, Serensen, H. M. (1986).Population dynamics and 207-217 trophic coupling in pelagic microorganisms in eutrophic Gargas, E.. Hare, I. (1976).Users manual for estimating the daily 170 Mar. Ecol. Prog. Ser. 65: 159-170, 1990

phytoplankton production measured in incubator. Con- Pomeroy, L. R. (1974). The ocean's food web, a changng tnbution from The Water Quality Institute, 2, Morsholm, paradigm. BioSci 24: 499-504 Denmark Porter, K. G., Paerl, H.,Hodson, R., Pace, M., Pricu, J., hemann, Haas, L. W. (1982) Improved epifluorescence microscopy for B., Scavia, D., Stockner, J. (1988). Microbial interactions in observing planktonicnucroorganisms. Annls Inst. oceanogr lake food webs. In: Carpenter, S. R. (ed.)Complex interac- 58: 261-266 tions in lake communities. Springer-Verlag, New York, Hobbie, J. E,Daley, E. J , Jasper, S. (1977). Use of nucleopore p. 209-227 filters for counting bacteria by fluorescence microscopy. hemann, B., Bjornsen, P. K.. Newell, S, Fallon. R. (1987). Appl. environ. Microbiol. 33: 1225-1228 Calculation of cell production of coastal marine bacteria Hernroth, L. (1985). Recommendations on methods for marine based on measured incorporation of 3~-thymidine.hmnol. biological studies in the Baltic Sea. Mesozooplankton bio- Oceanogr. 32: 47 1-476 mass assessment. The Baltic Marine Biologists Publ. No. 10 Riemann, B., Nielsen, T. G., Horsted, S. J., Bjsrnsen, P. K.,Pock- Jesperson, H., Olsen, K. (1982).Bioenergeticsinveligerla~ae of Steen, J. (1988). Regulation of phytoplankton biomass in Mytilus eduLis L. Ophelia 21: 101-113 estuarine enclosures. Mar. Ecol. Prog. Ser. 48: 205-215 Jespersen, A.-M., Christoffersen, K. (1987). Measurements of Riemann, B., Schierup, H.-H. (1978). Effects of storage and chlorophyll-a from phytoplankton using ethanol as extrac- conservahon on the determination of ammonia in water tion solvent. Arch. Hydrobiol. 109: 445-454 samples from four lake types and a sewage plant. Wat. Res. Joint, I. R.,Morris, R. I.(1982). The roleof bacteriain the turnover 12: 849-853 of organic matter in the sea. Oceanogr. mar. Biol. A. Rev. 20: &vier. A., Brownlee. D. C., Sheldon, R. W., Rassoulzadegan, F. 65-1 18 (1985). Growth of microzooplankton: a comparative study of Jonsson, P. (1986). Particle size selecuon, feeding rates and bacteriovore zooflagellates and ciliates. Mar. microb Food growth dynamics of marine planktonic oligotrich clliates Webs. 1: 51-60 (Ciliophora. Oligotrichina). Mar. Ecol. Prog. Ser. 33.265-277 Rodhouse, P. G., Roden, C. M. (1987). Carbon budget for a Jumars, P. A., Penry, D. L., Baross. J. A., Perry, M. J., Frost, B. W. coastal inlet in relation to intensi.ve cultivation suspension (1989). Closing the microbial loop: dissolved carbon path- feeding bivalve molluscs. Mar. Ecol. Prog. Ser. 36: 225-236 way to heterotrophic bacteria from incomplete ingestion, Schwaerter, S.. Ssndergaard, M., Riemann, B., Jensen, L. M. digestion and absorption in animals. Deep Sea Res. 4: (1988). Respiration in eutrophic lakes: The contribution of 483-495 bacterioplankton and bacterial growth yields. J. Plankton hsrboe, T., Mshlenberg, F., Hamburger, K.(1985a). Bioenerge- Res 10: 515-531 tics of the planktonic copepod Acartia tonsa. relation Sherr, E. B., Sherr, B. F. (1987). Hlgh rates of consumption of between feeding, egg production and respiration, and bacteria by pelagic ciliates. Nature, Lond. 325: 710-711 composition of specific dynamic action. Mar. Ecol. Prog. Ser. Sherr, E., Sherr, B. (1988).Role of microbes in pelagic food webs. 26: 85-97 A revised concept. Limnol. Oceanogr. 33: 1225-1227 Kisrboe, T., Mshlenberg, F., Nikolajsen, H. (1982). Ingestion Sherr, B. F., Sherr, E. B., Berman, T. (1983). Grazing, growth and rates and gut clearance in the plankton~ccopepod Con- ammonia excretion of a heterotrophic microflagellate fed tropages hamatus, (Liljeborg) in relation to food concen- with four species of bacteria. Appl. environ. Microbiol. 45: tration and temperature. Ophelia 21: 181-194 1196-1201 Kisrboe, T., Mshlenberg, F., Nshr, 0. (1981). Effects of sus- Sieburth, J. McN., Smetacek, V., Lenz, J. (1978). Pelagic pendedbottommaterialongrowth and energetics in Mytilus ecosystem structure: heterotrophic compartments of the edulis. Mar. Blol. 61: 283-288 plankton and their relationship to plankton size fractions Kisrboe, T., Mshlenberg, F., RiisgBrd, H. U. (1985b). In situ Limnol. Oceanogr. 23: 1256-1263 feeding rates of copepods: a comparison of four methods. J. Smits, J. D., Riemann, B. (1988). Calculation of cell production exp. mar. Biol. Ecol. 88: 67-81 from 3H-thymidine incorporation with freshwater bacteria Lancelot, C. (1983). Factors affecting phytoplankton extracellu- Appl. environ. Microbiol. 54: 2213-2219 lar release in the southern bight of the North Sea. Mar. Ecol. Sol6rzan0, L. (1969). Determination of ammonia in natural Prog. Ser. 12: 115-121 waters by the phenolhypochlorite method. Limnol. Lee, S., Fuhrman, J. A. (1987).Relationships betweenbiovolume Oceanogr. 14: 799-810 and biomass of naturally denved marine bacterioplankton. Ssndergaard, M., Riemann, B., Jensen, L M,, Jorgensen, N. 0. Appl. environ. Microbiol. 53: 1298-1303 G., Bjsrnsen, P. K.,Olesen, M.,Larsen, J. B., Geertz-Hansen, Mitchell, J. G., Okubo, A., Fuhrman, J. A. (1985). Microzones 0.. Hansen, J.. Christoffersen, K.. Jespersen, A.-M,, surrounding phytoplankton form the basis for a stratified Andersen, F., Bosselmann, S. (1988) Pelagic food web marine m~croblalecosystem. Nature, Lond. 3: 58-59 processes in an oligotrophic lake. Hydrobiologia 164: Murphy, I.,Riley, T. P. (1962).Amodifiedsingle solution method 271-286 for the determination of phosphate In natural waters. Analy- Ssndergaard, M., Riemann, B., Jorgensen, N. 0. G. (1985) tica chim. Acta 27. 21-26 Extracellular organiccarbon (EOC) released by phytoplank- Mshlenberg, F., kisgard. H. U. (1979). Filtration rate, using a ton and bacterial production. Oikos 45: 323-332 new indirect technique, in thirteen species of suspension Utermohl, H. (1958). Zur Vervo~kommnungder quanbtativen feeding bivalves. Mar Biol. 54: 143-147 Phytoplankton Methodik. Mitt. int. Verein. Limnol. 9: 1-39 Nixon, S. W., Pilson, M. E Q. (1983). Nitrogen In estuarine and Winter, J. E. (1973).The filtration rate of Mytilus edulis and its coastalecosystems. In: Carpenter, E. J., Capone, D. G. (eds.). dependence on algal concentration, measured by a continu- Nitrogen in the environment. Academic Press, New York. ous automatic recording apparatus. Mar Biol. 22: 317-328 p. 565-648 Williams, P. J. LeB. (1981).Incorporation of microheterotrophic Pechenik. H. A. (1980).Growth and energy balance during the processes into the classical paradigm of the marine food web. larval lives of three prosobranch gastropods. J exp. mar Kieler Meeresforsch. Sonderh 5: 1-2 Biol. Ecol. 44: 1-28 Manuscript first received: January 3, 1990 This article was submitted to the editor Revised verslon accepted May 18, 1990