1 ICES STATUTORY MEETING 1993 C.M. 1993/L:32 Sess.O Not to be cited without prior reference to the author. VARIABILITY OF SURFACE PLANKTONIC COMMUNITY METABOLISM IN RESPONSE TO COASTAL UPWELLING EVENTS IN THE RIA DE VlGO (NW SPAIN). G. Moncoiffe(l), G. Savidge(l), X.A. Alvarez-Salgado(2) and F.G. Figueiras(2) . • (1) School of Biology and Biochemistry, Queen's University of Belfast, Marine Biology Station, Portaferry, Co. Down BT22 IPF, Northem Ireland. (2) Instituto de Investigaciones Marinas, CSIC, Eduardo Cabello 6, 36208 Vigo, Spain. Abstract • Measurements of licrobial photosynthetic and respiration rates based on oxygen light:dark incubations were carried out twice weekly, frol April to November 1991, at a fixed station in the Ria de vigo (N.W. Spain). Wind driven upwelling events in the Ria sustained high but very variable chlorophyll abiomasses (mean: 6.0 ±4.2 range: 0.2-17.5 pg 1-1), gross photosynthetic (GP) rates (Iean: 37.4 ±30.2, range: 0.9-123.3 pmol 02 1-i d-1), GP:Chl a ratios (Iean: 5.2 ±2.3, ran1e: 0.9-11.6 pg C (pg ChI a)-l h1) and respiration rates (Iean: 12.3 ±9.7, range: 0.6-46.5 pllol 02 1- d- 1) in the surface planktonic cOIlunity. Chlorophyll increases were associated with both upwelling and relaxation conditions. During the spring-suuer period dOllinated by regular upwelling and relaxation events, the GP:Chl a ratio (Productivity Index), showed consistent correlations with the density of the surface layer but was independent of temperature, nutrient and planktonic dOlinanee. From April to the end of June, upwelling typically depressed photosynthetie activity while in July-August upwelling was associated with increases in autotrophie aetivity. Respiration rates showed a lore eOlllplex pattern and varied on a shorter timescale than did chlorophyll a biomass or photosynthetie productivity suggesting a rapid growth or . physiologieal response of heterotrophie organisms to very transient physieal and biologieal situations. 2 Introduction Upwelling ecosystems are usually considered as immature ecosystems with a food web typicallY based on "new production" of organic matter by fast growing cOlnmunity is then characterized by a respiration ratio, the new diatoms. The planktonic high photosynthesis to production being exported and remineralized out of the system (Packard 1979) thus generating a strong spatial heterogeneity. Under an intermittent coastal upwelling regime such as the one characterizing the Rias of the North West coast of 1984), the occurence of spain (Fraga 1981, Blanton et al. stratified and unstratified periods allows the maturation of the planktonic community (autotrophs/ heterotrophs, prey/ predators, diatoms/ dinoflagellates) and i ts vertical segragation during the periods of stabilization (Figueiras & Pazos 1991, Figueiras & Rios 1993). How the different components of those complex communities respond to upwelling and" relaxation is one of the major objectives cif upwelling area studies. • Since the" 1950' s, studied in the phytoplankton Rias Baixas, ecology especially has in been regularly regards to the annual phytoplanktonic succession (e.g. Margalef et al. 1955) and its relation with the hydrographie regime "(e.g. Figueiras & Niell 1987). Short-term variability of phytoplankton biomass and composition on a time scale of less than a week has been monitored consistently. The present study, based on a twiceweekly sampling frequency is an attempt to outline the major eonsequenees of strong hydrographie variability ereated by an intermittent upwelling regime on the planktonic community in J 3 terms of both autotrophie and heterotrophie aetivity at the surface. Materials and methods From the 15 April to the 11 November 1991, sampling was carried out twice a week (typieally between 9.00 and 10.30) at a fixed station (42°14'1"N,8°46'9"W) in the Ria de Vigo (Fig. 1). Sampies were eollected with 5 I PVC provided with rotating thermometer frames. Niskin bottles Three depths were sampled: surface, 1% of light determined by a LICOR underwater quantum sensor and 40 m (8 m above the bottom). Salinity was ealeulated from the equation (6) of UNESCO (1981) • from conductivity measurements with an AUTOSAL 8400A salinometer. Aliquots for nutrient determination were frozen at -20°C after sampling and analysed by Technicon AAll systems following Hansen and Grasshoff (1983) with some modifieations (AlvarezSalgado et ale 1992, Mourifio & Fraga 1985). Chlorophyll a was determined after filtration through Whatman GF/F filters by the fluorometrie method (Yentsch & Menzel 1963) using a Turner Designs 10000R fluorometer. The abundances of bacteria, picoand nanoflagellates were determined by epifluorescence mieroscopy using the DAPI-induced fluorescence method (Porter & Feig 1980) • Photosynthetie eells were identified by autofluorescence under blue light exeitation (Davis & sieburth 1982). For the eommunity oxygen metabolism study, from each depth were pooled in three 25 1 of water darkened earboys and \, gently shaken , , , : before sUbsampling. size-fractionation of the • 4 community was performed by gravity filtration through 10 Jjm mesh. From 15 April to 3 September, prefiltration through 150 Jjm mesh was carried out. After 3 September the sampies were incubated without prefiltration. Incubations usually began within.2 to 3 h after sampling. Daily net ph6tosynthetic and respiration rates of the phytoplankton community were estimated with the oxygen light-dark bottle method (Strickland & Parsons 1972). Triplicated 120 ml light and dark bottles were incubated for 24 h in situ. ~ Oxygen titration controlled was titrator performed system using by a the SIS microprocessor colorimetric winkler methode Rates of net photosynthesis (NP), gross photosynthesis (GP) and respiration (R) are expressed in Jjmol O2 1-1 d-1 • The chlorophyll a content of the sampies used for primary production experiments was also analysed as described above. These chlorophyll data were used for the normalization of GP to ChI a referred to as the Productivity Index (PI) expressed in • Jjg C (Jjg ChI a)-l h-1 • Oxygen production values were converted to carbon using a PQ of 1.36 (Rios & Fraga 1987) • Results During the upwelling season 1991, regular intrusions of Eastern North Atlantic Water (ENAW) in the Ria de Vigo imposed a strong hydrographie variability at the fixed station as represented .by the temporal evolution of bottom and surface temperatures 40 m, (Fig. 2A) and nitrate+nitrite concentrations at at the 1% light depth and at the surface (Fig. 2B). Maxima in the surfacewards transport of the dense bottom water 5 were refleeted in the surfaee density( values on 22 April, i May, 20 May, 6 June, 20 June, 6 4 JUly,l 29 July and 12 August I (annotated with arrows on the date axis). assoeiated with marked deereases in sea , These events were surfaee temperature I during the thermally stratified season! from mfd-April to midI . I Oetober together with strong influxes of nitrate in the bottom I . layer at the fixed station. Nitrate eoneentrations >6 .~M were regularly measured at the 1% LD (12 ±~ m) with eoneentrations >2 ~M being observed on five oeeasions ~t the surfaee. I ChI a eoneentrations, gross photosynthesis and respiration rates remained sampling high (Table 1) at the surfaee; during the period I averaging respeetively 6. 0 ~g ChI a ~ of 1-1 ! (±70%), 37 J,Lmol 02 1-1 d-1 (±81%) and 12.:3 J,Lmol 02 1-1 d- 1 (±79%). 1 The autotrophie eommunity was largely i dominated by organisms I >10 ~m which aeeounted for 66% of theibiomass and 77% of the ! gross photosynthesis while in eontrast 60% of the eommunity ,! oxygen eonsumption was by organisms <10!J,Lm (Table 1). , , ChI a eoneentrations at the surfaeel (Fig. 3A) showed marked ~ seasonal differenees with major inereases associated with the 1 upwelling events of early spring (>15: J,Lg (~14 ~g 1-1 ) r 1) and mid-August while a third bloom in the'autumn, consisting of a series of short lived peaks >10 ~gl~ decreasing in intensity towards the relaxation winter, period when was initiated stratification during was ,the longest strongest. In , contrast, in June-July, coneentrations appeared relatively low with peaks <10 I-'g 1-1 • The evolution of the productivity index (Fig. 3B) in the surface layer did not show such a pronounced seasonal trend as for ChI a since high values were regularly observed during the • 6 upwelling season (average of 5.25 ±2.30 J.Lg C (J.Lg ChI a)-l h-1 ). From the 15 April to 6 August, highly signifieant linear relationships were observed between PI at the surfaee and the superfieial water density over periods of 3 to 6 weeks (Fig. 4). As a single (0. 005<p<0. 001) faetor, of density the variations variation" explained of the produetivity 63% index observed from 15 April to 30 May, 93% (p<0.001) from 3 to 27 June and 76% (0.005<p<0.001) from 1 July to 6 August. High surfaee temperature and inereased water eolumn stratifieation • as estimated by diseontinuities relationships the the in with 0-40 the m density, parameters slope evolving eorresponded eharaeterizing from -3.44 to the (r=0.793, n=11) in April-May, to -8.70 (r=0.985, n=7) in June and +4.77 (r=O. 871, over time, in July-August. with density estimated period , 1.5 sampling • n=8) in days the Contrasts were greater signifieanee 2 days before before third in the period. the also between sampling PI in seeond and the During those apparent and the day three the first of the periods, although PI was not statistieally eorrelated with ChI a, eaeh maximum of PI (range: 6.09-9.09 J.Lg C (J.Lg ChI a)-l h-1 ) preeeded a maximum of biomass in surfaee (range: 4.16-16.71 J.Lg ChI a l- I). The delay observed between both varied from none (29 July) to 11 days (2-13 May) but eorresponded typieally to the 3 to 4 days separating eaeh sampling. The temporal evolution of marked short-term variabili ty , the summer (Fig. 3e). the respiration rates showed espeeially at the begining of Higher rates were measured during the thermally stratified period (mid-April to mid-oetober). From mid-May to mid-Ju1y heterotrophie aetivity was depressed when 7 the maxima in during the two September, a the upwelling observed last upwelling events. steady inerease were in it inereased From 22 August to 19 signif~eantly inerease, surfaee while temperature correlated with (r=+0.877, p<0.05) contrasted with the short-lived peaks observed in. June-July. However, physieal variability of the \ water eolumn alone is insuffieient to explain the strong stiort-term variability of respiration rates. Figure 5 illustrates how the strueture of the eommunity heterotrophie and its interactions with the phytoplanktonie eommunity might explain this variability. In • I the <10~m fraetion, whieh heterotrophie aetivity, Figure 5A, one group was responsible for 60% of two groups of( data were isolated. (G1) showed a marked inerease of (ChI a va lues >4 ~g 1-1 were observed In the <10~m respiration rate with chlorophyll eoneentration in the fraction the during the marked inerease in surfaee temperature in september) while a seeond group (G2), eorresponding to the highest rates measured during the sampling season (ineluding most of the peaks of respiration observed in May-June), was, assoeiated with low ChI a eoneentrations tendeney larger to in increase fraetion the as small the inereased fraetion but photosynthetie (Fig. 5B). showed aetivity Correlation a elear in the between , epifluoreseenee counts and respiration rates (Table 2) ; indieated that small heterotrophie 'flagellates (pieo- and nanoflagellates)were assoeiated with the respiration data of the .first group while bacteria gave the major contributionto , the variation of the respiration rates measured in the second group. • - ----------- 8 Diseussion The study earried in out the Ria de Vigo during the upwelling season 1991 showed that the intermittent intrusions of deep oeeanie water in the Ria oeeured with an approximate frequeney of autotrophie 2 weeks biomass and and allowed deve~opment the produetion and high of high heterotrophie aetivity as weIl as strong interaetions within the planktonie eommunity. The events response of the planktonie eommunity appears very eomplex and the response based on data from a to upwelling interpretation of sirigle fixed station this is not neeessarily easy. The three signifieant and eontrasting relationships found between the produetivity index of the surfaee eommunity and the surfaee density within the three eonseeutive periods 15 April-3D May, 3 June-27 June and 1 July to 6 August underline two eurrently observed aspects of phytoplankton response to upwelling: the lag-time following upwelling stress (MacIsaac et ale 1985, Wilkerson & Dugdale 1987, Dortch & Poste1 1989, • Duarte 1990) and the control of phytoplanktonic production by physical proeesses (Huntsman & Barber 1977, Small & Menzies 1981). Since those relationships were apparently independent of temperature, phytoplanktonie succession and nutrient influx with the deep suggested that overall by the water (Moncoiffe phytoplanktonic physical et al., in productivity variability of during the period upwelling and relaxation events. was the associated with the succession of upwe11ing, stratification prep.), it is controlled surface layer relaxation and dominated by regular 9 I In the Ria de Vigo, because of the scarcity of freshwater I input, surface densi ty depends mainly lI on the strength of the I upwelling and the rate at which therm~l stratification is reI established. The strength of the upwelling will determine the I stress applied to the system while thelverticai stability will . I condition the degree of maturity of the ecosystem in terms of ,I the nitrogen source supporting phytoplankton growth, I relationships and light adaptation. I tIn conditions trophic of weak I stratification (April-May) high phytoplankton biomasses were I rapidly reached following the maximum of density at the surface while nitrate concentrations fell to values <1 pM in I the photic layer suggesting a rapid :growth response of the i phytoplankton. However, the productivity index varied little I and its slight decrease following the maximum of density could I non~ftrncEronal-chl -----Eüther -be - due- to - higher--cohcentration 70f a or to photoinhibition known to occur when a water sampIe taken from a mixed water & Barber (Huntsman thermocline was column is I exposed Harris 1977, established (June, to 1980). ! July, high Once irradiances the August), seasonal upwelling occurences had major consequences on the productivity index of the phytoplanktonic community resulting either in low values , in June (61 and 89% lower than underlstratified conditions), or in high va lues in July-August decreasing by 85 and 81% relationships between J ! under relaxation conditions. Negative ! phytoplanktonic community and interpreted with reference te stability the have usually lew average been light regime experienced by the microalgae during! strong mixing and increase as the water column stabilizes as a i ts progressive l i adaptation to high surface irradiances (Malone et al. 1983, • 10 Demers & Legendre 1982). In an upwelling area, be related to the upwelled cells population time-lag riecessary (Wilkerson (Duarte for adaptation of the Dugdale 1987) & 1990) to it could also near or phytoplanktonic surface conditions. A positive relationship or the absence of lag would correspond to either a irradiances preconditioning of (MacIsaac et ale the 1985) upwelled or to a cells to high fertilization of nutrient-limited surface population (Dortch & Postel 1989). The ~ respiration rates measured (mean and range) were highest than the values for surface coastal waters reviewed by williams (1984). Organisms <10 Jjm (mainly small flagellates and bacteria), by accounting for 60% of the oxygen respired by the whole microplankton fraction and representing on average 44% (±66) of the gross photosynthetic production against 20% (±18) for the organisms >10 Jjm, appear as a major component of the biological transfer of organic matter in the surface layer ______ during __the _upwelling__ season. weak dependence of the _More_surpr.ising_is_the_~ela_ti~ely respiration evolution _of the surface layer, rate on the _ physical especially during the summer time, -since previous seasonal studies of small flagellates and bacteria activity have revealed a strong temperature influence (Marrase et ale 1992, Velimirov & Walenta-simon 1992). the -respiration rates this . fraction remained - - - ----Although - ...,-- - -....- - --- --- in ---. ----_ -----.._ - -<10 - --_.._ - - Jjmol O2 r 1 d-1 when the temperature fell below lSoC, the lack -_._~-* '-~- of correlation at higher temperature was probably related to the partitioning fractions. of the heterotrophie community into two In the first fraction respiration rates increased with chlorophyll significantly concentration in correlated with <10 the /-&m fraction· and were small flagellates '11 population. increased the In with the respiration fraction, second photosynthetic activity , in the rates >10 fJm fraction and was more closely relatEid to variations of the bacterial biomass. short-term without respiration however variability explaining observed totally in the June-July, , those correlations suggest the rapid establishment of complex relationships community between (through components different the remineralization and grazing of activity the in the small fraction) following upwelling events. The dependence of bacterial production on photosyntl1etic production through the release of extracellular organic , compounds (EOC) by I photosynthetically active cells R"~ _ •• _.~_ __ is weIl .~ _ _ , •..•• established. _ _ ._~_.- In the -~__________________ ,. - _ present instance where the bacterial population was separated from the main source of EOC (organisms >10 by prefiltration, the correlation observed between respiration in the small fraction and photosynthetic activity of the larger organisms would require an accumulation of EOC in the surface layer. Such an accumulation does not: seem to be of general occurence - (Riemann observed in Furthermore , the & Sondergaard 1984) Peruvian bacteria although it has been upwelling ,system I assimilation rates (SelIner depend the quality of the dissolved organic matter (SeIl 1981). strongly on & Overbeck 1992). , In conclusion, the Ria de Vigo appears as a very productive production. The diversity of the trophic relationships in the microplanktonic community observed at the surface is likely to be reflected by a similar diversity of· larger predators giving rise to the high productivity of the Galician Rias. The -. l2 importanee thermal of upwelling strength stratifieation produetivity. is likely in to have, relative .to regulating together the seasonal phytoplankton with upwelling frequeney, a major influenee on the interannual yariability of exploitable resourees. Aeknowledgements The authors would like to thank the staff of the Marine Biology station in Portaferry and of the Instituto de Investigacions Marifias in Vigo for their help during the project. special thanks go to Ricardo Casal for his assistance during the work at sea and to Ana Mosquera for the epifluorescenee counts. G.M. is also grateful to the IIM for providing aeeomodation and seientifie faeili ties during the seven months study in the Ria. This work was supported by CEC MAST Contract Ng 0017 on the Control of Phytoplankton Dominanee. Referenees Alvarez':':Salgädo, X.A",-· Perez, F.F. ,-FräCjä-,-- -F:----(1992J-.------·---Determination of nutrient salts by automatie methods both in seawater and braekish water. Mar. ehern. 39: 311-319. Blanton, J. 0., Atkinson, L. P., Fernandez de Castillero, F., Lavin-Montero, A. (1984). Coastal upwelling off the Rias Bajas, Galieia, Northwest spain, I: Hydrographie studies. Rapp. P.-v. Reun. Cons. int. Explor. Mer 183: 79-90. Davis, P.G., Sieburth, S.Me.N. (1982). Differentiation of the photosynthetie and heterotrophie populations in marine waters by epifluoreseenee mieroscopy. Ann. Inst. Oeeanogr. Paris, 58(5): 249-259. Demers, S., Legendre, L. (1982). Water eolumn stability and photosynthetie eapaeity of estuarine phytoplankton: long -term relationships. Mar. Eeol. Progr. Sero 7: 337-340. Dorteh, Q., Postel,. J.R. (1989). Bioehemieal indieators of N assimilation by phytoplankton during upwelling off the Washington eoast. Limnol. Oeeanogr. 34(4): 758-773. Duarte, C.M. (1990). Time lags in algal growth: generality, eauses and eonsequenees. J. Planke Res. 12(4): 873-883. Figueiras, F.G., Niell, F.X. (1987b). Composiei6n deI fitoplaneton de la Ria de Pontevedra (N.O. de Espafia). Inv. Pesq. 51(3): 371-409. Figueiras, F.G., Pazos, Y. (1991). Mieroplankton assemblages in three Rias Baixas (Vigo, Arosa and Muros, spain) with 13 subsurface chlorophyll maximum: Itheir relationships to hydrography. Mar. Ecol. Progr. Sero 76: 219-233. Figueiras, F.G., Rios, A.F. (1993). Phytoplankton succession, red tides and the hydrographie regime in the Rias Bajas of Galieia. In: Smayda, T.J., Shimizu, Y. (eds.) Toxie Phytoplankton Blooms in the Sea, Elsevier Seienee Publishers B.V., p~ 239-244. I Fraga, F. (1981). Upwelling off the Galieian eoast, Northwest spain. In: Riehards, F.A. (ed.) Coastal upw~lling, Ameriean Geophysieal Union, p. 176-182. I Hansen, H. P. , Grasshof , K. (1983) • Automated eherilieal analysis. In: Grasshof, K, Ehrhardt, M., Kremling, K. (eds. ), Methods of seawater analysis, Verlag Chemie, p. 347-379 ~ i Harris, G.P~ (1980) •. The measurement of photosynthesis in natural populations of phytoplankton. In: Morris,I. (ed~), Studies in Eeology, Vol. 7: The physiologieal eeology of phytoplankton, Blaekwell Seientifie publieations, Oxford London, p. 129-187. Huntsman, S.A., Barber, R.T. (1977).! primary production off northwest Africa: the relationship to wind and mitrient conditions. Deep-sea Res. 24: 25-33. MacIsaac, J.J., Dugdale, R.C., Barber, R.T., Blasco, D., Packard. T.T. (1985). Primary production cycle in an upwelling center. Deep-Sea Res. 32: 503-529. Malone, T.C., Falkowski, P.G., Hopkins, T.S., Rowe, G.T. , Whiteledge, T.E. (1983). Mesoscale response of diatom populations to a wind event in. the plume of the Hudson River. 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Prog. Ser. 80: 237-248. Wilkerson, F.P., Dugdale, R.C. (1987). The use of large shipboard barrels and drifters to study the effeets of eoastal upwelling on phytoplankton dynamies. Limnol. Oeeanog. 32(2): 368-382. Williams, P.J.leB. (1984). A review of measurements of respiration rates of marine plankton populations. In: Hobbie, J.E., Williams, P.J.leB. (eds.), Heterotrophie aetivity in the sea, Plenum Press, New York, p. 357-389. Yentseh, C.S., Menzel, D.W. (1963). A method for the determination of phytoplankton chlorophyll and phaeophytin by fluoreseenee. Deep-Sea Res. 10: 221-231. 15 Table 1. Means, coefficient of variation (C. v. ), range and numbers of observations (n) at the surfaee of chlorophyll a (ChI a, fJg 1-1), gross photosl,nthesis (GP, fJrnol 02 1-1 d-I) and respiration (R, fJrnol 02 r 1 d-) for the whole sampIe (TOT) and for >10 fJrn fraetion as proportion of total. TOT rnean C.V. range n >10 J.lm ChI a GP R 6.0 70 0.2-17.5 61 37.5 81 0.9-123.3 49 12.3 79 0.6-46.5 49 (66 ±20)% (77 ±27)% (40 ±28)% Table 2. Correlation coeffieients reeorded for the two groups of surfaee data G1 (n=27) and G2 (n=11) between respiration rates in <10 fJrn fraction (R <10 fJrn) and epifluorescenee counts of baeteria, autotrophie (A) and heterotrophie (H) pieoflagellates and nanoflagellates (bald type: p<0.05). R <10 fJrn H. nanoflagellates H. picoflagellates A. nanof1age11ates A. pieoflagellates Baeteria G1 G2 +0.634 +0.663 +0.427 +0.210 +0.224 -0.065 +0.045 +0.127 +0.318 +0.577 16 Figure Legends Figure 1. The Rias Baixas on the North-West coast of Spain arid the Ria de Vigo with the position of the fixed station. Figure 2. Temporal evolution of: A) temperature at 40 m (thin line) and surface (bold line); B) nitrate + nitrite at 40 m (thin line), 1% light depth (crosses) and surface (bold line). Arrows on the date axis denote the maxima of density observed at the surface. Figure 3. Temporal evolution at the surface of: A) chlorophyll a, B) productivity index and C) respiration rate, in the whole sampIe. Figure 4. Surface community productivity index (PI) versus surface density during the following periods of the survey: A) 15 April-30 May, B) 3 June-27 June, C) 1 JUly-6 August. (0), (-1.5) and (-2) denote respectively the values measured on the day of sampling and the values derived by interpolation 1.5 or 2 days prior to sampling. Figure 4t 5. A) Respiration <10 J,tm (J,tmol O2 1-1 d-1 ) versus chlorophyll a <10 J.tm (J.tg 1-1). Open circles denote the data used in Figure SB and referred to as "G2" in the text. B) Respiration <10 J.tm versus productivity index >10 J.tm (J,tg C (J.tg Chl a)~ h~) relationship in G2. Figure 1 '\ .•.... - ... .. , ", R1A de ~, 0, ,...,.:::::> ~ ~ ' Q: o " Q.. " " SPAIN. ... ' , .. e• • _ _ ... ...' ... - . ,--.' Nitrate + Nitrite (IImol'-') 0 15-Apr 22-Apr 29-Apr 06-May 13-May 20-May 27-May 03-Jun 10-Jun 17-Jun 24-Jun 01-Jul ~ IV ". N 0 Ci> <J) ... ... ". <J) Ci> t~ ~~ ... 0 ... IV Temperature ( Cl ... ". ... Cl ... '" IV 0 IV IV ~ t/ " 08-Jul 15-Jul "'Tl <C. C .., 22-Jul 29-Jul 05-Aug CD 12-Aug I\) 19-Aug 26-Aug 02-Sep 09-Sep 16-Sep 23-Sep 30-Sep 07-0ct 14-0ct 21-0ct 28-0ct 04-Nov 11-Nov --t::----... -~+ ~' "'+ t ......t i '~ G Respiration (~mol 02 o ~ 0 ~ N ....., (",) 0 ~ 0 r' cl') L) U1 Produclivily Index (~g C (~g Chl)-' h-') ~ A U1 0 U1 0 o 15-Apr I '" I 06-May 13-May 20-May ~ ,/ 03-Jun 10-Jun 24-Jun ...._.w.__··· 22-Jul 12-Aug i-~ 19-Aug 26-Aug 02-Sep 09-Sep I I-~ o U1 (~g 1-') N U1 o -..... (J "=~' ~ ~" ... ·'....."0 n""--- I 11 (0' e CD w 11-·.-11 IJ (J -- _ ~ ~ 30-Sep ~ 07-0ct 14-0ct 28-0ct 04-Nov 11-Nov /~=:=~:::=~ [§J ./ er" ~ U1 ~~=O 16-Sep 23-Sep 21-0ct '" ~ ~ ......... p 29-Jul-r~ 05-Aug - g '" ~ :3= 15-Jul I o ~ 17-Jun 08-Jul I OJ ... o ~ 27-May 01-Jul <» r= 22-Apr 29-Apr .... Chlorophyll a @] [8 ~ • - Figure 4 B) 3 June-27 June A) 15 April-30 May ::,8 I .r::. ~7 C1l :cu 6 Cl • • •• 2::5 U ~4 '-' e C'~_~.- "' • • • •• .. 0: 3 26.0 26.5 Density (-2) 27.0 8 7 6 5 a. 4 3 2 1 0 25.0 • C) 1 July-6 August .. '-'- t, ~'- •• •• • • 25.5 26.0 Density (-1.5) 26.5 8 7 6 5 0: 4 3 2 1 0 24.5 ~----.~~.- •• •._-• •• -.,~-- 25.5 ....... ,. __.._-- 26.5 Density (0) -. ._"-~<"-- "'-_ .. - .... _.~ .- Figure 5 40 ::::l.. 8 ev 30 o 35 .§ ° 20 "§ 'Ci 10 30 E Q) 0::: o 0 v .~ 20 • o o 15 10 0 0 • Cec. •• 5 'e • 0 0 2 • 4 6 Chlorophyll a <10 8 ~m 2 0 4 6 8 Productivity Index >1 0 • ° • •• ° • Q) 0::: 0 co 0°0 ° ocP 0 l/l ....~ 25 ca... 'g. B E 40 10 ~m 10