Journal of Plankton Research plankt.oxfordjournals.org J. Plankton Res. (2014) 36(1): 265– 270. First published online October 21, 2013 doi:10.1093/plankt/fbt106 SHORT COMMUNICATION Incidence of dead copepods and factors associated with non-predatory mortality in the Rı́o de la Plata estuary MARIANO MARTÍNEZ1,2, NOÉ ESPINOSA1,2 AND DANILO CALLIARI1,2* 1 OCEANOGRAFÍA Y ECOLOGÍA MARINA, FACULTAD DE CIENCIAS, UNIVERSIDAD DE LA REPÚBLICA, IGUÁ 4225, MONTEVIDEO CP 11400, URUGUAY AND 2ECOLOGÍA FUNCIONAL DE SISTEMAS ACUÁTICOS, UDELAR, MONTEVIDEO, URUGUAY *CORRESPONDING AUTHOR: [email protected] Received May 30, 2013; accepted September 21, 2013 Corresponding editor: Roger Harris We evaluated the incidence of dead copepods (IDC) in the Rı́o de la Plata estuary utilizing a vital staining approach with neutral red. The dominant species was Acartia tonsa. The overall IDC was on average 16.5% and it was higher in copepodite stage IV through adult compared with earlier juvenile stages. Also, a negative relationship between overall IDC and surface salinity was found. KEYWORDS: Acartia tonsa; mortality; neutral red; estuary I N T RO D U C T I O N Copepods dominate metazoan plankton in marine systems and play an important role in the transfer of matter and energy to higher trophic levels (Calbet et al., 2000). Much effort has gone into examining the growth and fecundity of copepods but relatively little is known about the rates and causes of mortality (Thor et al., 2008). It is generally assumed that copepod mortality is mainly due to predation (Tang et al., 2006). However, previous studies have shown that copepods can suffer from available online at www.plankt.oxfordjournals.org # The Author 2013. Published by Oxford University Press. All rights reserved. For permissions, please email: [email protected] JOURNAL OF PLANKTON RESEARCH j VOLUME 36 non-predatory mortality through environmental stresses (Cervetto et al., 1999). Due to methodological difficulties, the incidence of non-predatory mortality is largely unknown. Motility has been the main criterion for recognizing living plankters. Dressel et al. (Dressel et al. 1972) developed a technique to separate live from dead zooplankton based on the uptake of the vital stain neutral red. This stain is only absorbed by living cells, and therefore, following staining, organisms that were alive at the moment of collection would appear red, whereas dead ones would appear unstained; such a pattern remains after sample preservation. Other stains, such as Evans blue and Aniline blue operate the opposite way, staining dead cells, and have been utilized with that same purpose (Crippen and Perrier, 1974; Bickel et al., 2009), but these are only incorporated by carcasses of organisms whose time of death is between 2 h and 2 – 3 days (Dubovskaya et al., 2003). Neutral red is the most efficient among several methods for live/dead determinations of planktonic organisms (Zetsche and Meysan, 2012). Despite early successful applications (Crippen and Perrier, 1974; Fleming and Coughlan, 1978) neutral red vital stain has been little used. Recently, Tang et al. (Tang et al., 2006) and Elliott and Tang (Elliott and Tang, 2009, 2011) refined the method to facilitate its application in the field, demonstrating high percentages of dead copepods in Chesapeake Bay. These authors found that staining efficiency decreases with the amount of seston and density of plankton in the sample, that is less efficient at lower temperatures, and that it is not affected by salinity. Estuaries are characterized by high temporal and spatial environmental variability (e.g. salinity), which subjects organisms to persistent stressful conditions, especially affecting juvenile stages (Attrill, 2002). Hence, determination of the incidence of dead copepods (IDC) in estuaries is particularly relevant for an understanding of the sources of non-predatory mortality. j NUMBER 1 j PAGES 265 – 270 j 2014 The Rı́o de la Plata (RdlP) estuary drains the second largest basin of South America. It has an average depth of 10 m and is characterized by a salt wedge regime and a well-developed salinity front (Guerrero et al., 1997). Despite its ecological relevance, little is known about the zooplankton in this area (but see Berasategui et al., 2005); studies about their vital rates are scarce (Calliari et al., 2004) and there are no estimates of mortality for any planktonic group. Here we assess the IDC in the RdlP estuary and explore factors of non-predatory mortality. We estimated stage-specific IDC for dominant species and evaluated its relationship with salinity gradients. We hypothesized that strong salt gradients, characteristic of the RdlP estuary oligo-mesohaline region induce high copepod mortality, and that juveniles experience higher mortality than adults due to their higher susceptibility to osmotic stress. We sampled three stations ca. 3.7 km apart and 4 km offshore of the northern bank of the oligo-mesohaline region of the RdlP estuary during four cruises in September and November 2009 (CR3, CR4), and September and November 2010 (CR5, CR6). Temperature and salinity profiles were obtained with an SBE 19V-plus CTD. Salinity was measured according to the Practical Salinity Scale and is reported without units. Plankton was always collected by horizontal sub-surface tows (1 – 2 m depth) due to the shallowness of the water column (4 – 9 m, Table I). Copepod density (ind m23) was estimated with a 47-cm mouth-opening plankton net fitted with a 90-mm mesh and a flowmeter. Samples were preserved in 4% formaldehyde for identification and counting. For vital staining, zooplankton was collected by slow (0.5 m s21) and short (2 min) horizontal tows using a plankton net fitted with a 120-mm mesh and non-filtering cod end. The net was not rinsed to prevent collection of damaged organisms adhered to the mesh; cod-end contents were immediately transferred to a vessel, and incubated with neutral red (1:1000 stock solution) for 15 min at a final concentration Table I: Range of depth, surface temperature (SST), surface salinity (SSS), saline stratification coefficient (SSC), horizontal saline gradient (HSG), Acartia tonsa population density and percentage of dead individuals. Physical environment A. tonsa Cruise code Depth (m) Surface layer thickness (m) SST (8C) SSS SSC (m21) HSG (km21) Population density (ind m23) % dead individuals CR3 CR4 CR5 CR6 4.5 –9.5 4.5 –8.5 8.5 –9.3 7.9 –9.2 1.7 –3.5 1.7 –4.5 1.1 –1.5 4.7 –6.2 13.5– 14.1 14.6– 15.3 16.1– 17.0 17.7– 18.1 4.0 –5.7 7.5 –16.4 2.0 –4.8 4.5 –6.9 8.0 –14.1 0.0 –3.3 8.1 –11.1 1.1 –7.1 0.02 –0.30 0.04 –1.75 0.06 –0.53 0.07 –0.28 1633 –6901 1470 –3908 709 –2579 1657 12.5 –13.0 6.2–13.2 16.5 –44.8 11.8 –22.8 Values represent the range observed for the three stations of each cruise. 266 M. MARTÍNEZ ET AL. j DEAD COPEPODS IN RIO DE LA PLATA of 1:67 000, at in situ temperature and in darkness. The sample was subsequently filtered through a 100-mm sieve, rinsed with filtered seawater and stored at 2208C until analysis (Elliott and Tang, 2009). The presence of halocline/pycnocline, surface and bottom mixing layers was determined by visual analysis of CTD data. Surface temperature and salinity were estimated as their respective average in the surface mixing layer. A saline stratification coefficient (SSC, m21) was calculated as the salinity difference between bottom and surface layers, divided by the depth difference between layers. A horizontal saline gradient (HSG, km21) was estimated as the difference between surface salinity of two consecutive stations divided by the distance between them. For vital staining analysis, samples were thawed using cold in situ filtered water, acidified with 1M HCl (1:10 final concentration) to develop the stain’s colour and observed under a stereomicroscope to determine the state of the organisms (live/dead) and their developmental stages. Mortality was analysed for population stages classified in two groups: small copepodites (copepodite stages I through III, CI–CIII) and large copepodites (copepodite stage IV through adult, CIV–CVI) of the dominant species, usually only Acartia tonsa. Copepod molts were identified but not considered for mortality estimations. Preliminary tests with individuals of known vital status (live/dead) indicated that organisms subjected to the staining protocol could be classified into three colour categories: (i) bright red, (ii) light pink and (iii) white. Live copepods corresponded to staining category 1, while dead ones corresponded mostly to category 3 (92%) but a minor fraction (8%) were classified into category 2. The influence of salinity and temperature on staining efficiency was evaluated using live plankton from the same region of the RdlP estuary. Samples were diluted immediately after collection in 20-L thermally insulated buckets and taken to the laboratory where copepods (A. tonsa) were sorted out and subjected to salinities of 2.5, 5, 10 and 15 (constant temperature ¼ 208C) and to temperatures of 108C, 158C and 208C (constant salinity ¼ 2.5), incubated with neutral red for 15 min and further processed as described for field samples. Each salinity/ temperature treatment consisted of 3 replicates of 10 living organisms and 10 freshly dead ones killed by immersion in seawater at 508C for 5 min. Conditions of salinity and temperature tested were representative of the range found in situ. Salinity changes from in situ to experimental conditions were performed in steps of ca. 5 and animals were held at each acclimatization condition (and at each treatment prior staining) for 2 h (Calliari et al., 2006, 2008). After the experiment organisms were classified into the categories mentioned above. To assess differences in the in situ IDC between stage groups small and large, the fraction of dead copepods of each stage class in the stained sample was corrected by the contribution of that same stage class in the population, as determined in quantitative samples. Corrected IDC was estimated as the index “m”: m¼ % dead individuals of stage ðiÞ in stained sample % individuals of stage ðiÞ in the population Index m for stage class i varies between 0 (no dead individuals in class i) and 100/Pi, where Pi is the percentage of stage i in the population. Corrected IDC for groups small and large were compared using Student’s t-test for dependent variables. Pearson correlation analyses were conducted for overall and group-specific IDC vs. surface salinity, surface temperature, SSC, HSG and copepod density. Normality and homoscedasticity were verified using Shapiro– Wilk and Levene’s test, respectively, and data were log or squared-root transformed if needed. Consistent with Elliott and Tang (Elliott and Tang, 2009), there was no effect of salinity on staining efficiency, while temperature did have a significant effect. The lowest efficiency was found at 108C, an unusual extreme in the RdlP estuary (June– September) (Fig. 1). Surface salinity and temperature were typical for the study area, ranging from 2 to 16.4 and from 13.5 to 18.18C, respectively (Table I). SSC was highest in CR3 and CR5, while HSG was so in CR4 (Table I). Acartia tonsa was the dominant species in every sample, representing between 67 and 99% of total copepod abundance and reaching the maximum density in CR3 (6901 ind m3). The overall IDC was on average 16.5%, similar to that found by Elliott and Tang (Elliott and Tang, 2011) in Chesapeake Bay (12 – 15%) under a similar salinity range. Higher mortality of juveniles was expected to be associated with strong salt gradients based on the results of Cervetto et al. (Cervetto et al., 1999). However, in the present study IDC of the group large was higher (t ¼ 3.306, n ¼ 11, P ¼ 0.008) (Fig. 2a). Such a result suggests that environmental stress would not be the only cause of nonpredatory death in copepods, and that physiology and life history patterns (i.e. senescence) may have a relevant role as well. Recently, Rodriguez-Graña et al. (RodriguezGraña et al., 2010) assessed the effect of ageing on different population parameters of A. tonsa, finding that feeding and production rates decrease with age, and that mortality rates increase with age of the organisms. Also, the interaction of environmental stress and age, i.e. higher susceptibility to environmental stress by senescent 267 JOURNAL OF PLANKTON RESEARCH j VOLUME 36 j NUMBER 1 j PAGES 265 – 270 j 2014 Fig. 1. Laboratory experiments: influence of salinity (left) and temperature (right) on staining efficiency. The thick line indicates the median, the box represents the first and third quartile, and whiskers the 95% confidence interval. individuals, could have contributed to a higher IDC in the large group. Considering IDC disaggregated by stations, a high value was found in CR5 (44.8%). Tang et al. (Tang et al., 2006) found up to 75% of dead copepods associated with a saline front using the same vital staining. However, in the present study IDC did not correlate with HSG. Correlation analysis resulted in a single (negative) significant relationship between overall IDC and surface salinity (r 2 ¼ 0.521, P ¼ 0.018, n ¼ 10) (Fig. 2b) after removing an outlier (following Moore and McCabe, 1999) in CR5. Highest mortality of A. tonsa at low salinities could be due to higher relative salinity changes at lower salinities. Even though A. tonsa tolerates low salinities (2 – 5), under these conditions it is subjected to a strong physiological stress (Calliari et al., 2006, 2008). Under natural conditions, the stress imposed by highly diluted waters most likely adds to other factors not considered here (food quality, age, presence of contaminants) which may contribute to increased mortality in oligohaline conditions. The pattern observed could also be a consequence of the RdlP estuary circulation patterns, i.e. accumulation of particles (including dead copepods) near the turbidity front in low salinity areas. The absence of correlation between IDC and other variables could be due to the low number of samples analysed, or alternatively, it may indicate that non-predatory mortality caused by gradients is episodic. It is reasonable 268 M. MARTÍNEZ ET AL. j DEAD COPEPODS IN RIO DE LA PLATA FUNDING This study was funded by Comisión Sectorial de Investigación Cientı́fica Grupos I þ D Programme, Universidad de la República, and a Marie Curie Grant (European Commission, International Incoming Fellowship, Framework Programme 6) to D.C. REFERENCES Attrill, M. J. (2002) A testable linear model for diversity trends in estuaries. J. Animal. Ecol., 71, 62–269. Berasategui, A. D., Marque, S. M., Gómez-Erache, M. et al. (2005) Copepod assemblages in a highly complex hydrographic region. Estuar. Coast. Shelf Sci., 66, 483– 492. Bickel, S. L., Tang, K. W. and Grossart, H. P. (2009) Use of aniline blue to distinguish live and dead crustacean zooplankton composition in freshwaters. Freshwater Biol., 54, 971– 981. Calbet, A., Landry, M. R. and Scheinberg, R. D. (2000) Copepod grazing in a subtropical bay: species-specific responses to a midsummer increase in nanoplankton standing stock. Mar. Ecol. Prog. Ser., 193, 15–84. Calliari, D., Andersen Borg, M. C., Thor, P. et al. (2008) Instantaneous salinity reductions affect the survival and feeding rates of the cooccurring copepods Acartia tonsa Dana and A. clausi Giesbrecht differently. J. Exp. Mar. Biol. Ecol., 362, 18– 25. Calliari, D., Andersen, C., Thor, P. et al. (2006) Salinity modulates the energy balance and reproductive success of co-occurring copepods Acartia tonsa and A. clausi in different ways. Mar. Ecol. Prog. Ser., 312, 177 –188. Calliari, D., Cervetto, G. and Castiglioni, R. (2004) Summertime herbivory and egg production by Acartia tonsa at the Montevideo coast-Rı́o de la Plata. Ophelia, 58, 115–128. Cervetto, G., Gaudy, R. and Pagano, M. (1999) Influence of salinity on the distribution of Acartia tonsa (Copepoda, Calanoida). J. Exp. Mar. Biol. Ecol., 239, 33– 45. Fig. 2. (a) Index m of stage groups. The thick line indicates the median, the box represents the first and third quartile, and whiskers the 95% confidence interval. (b) Linear regression y ¼ 31.03– 20.74*x between percentage of dead individuals and log-transformed surface salinity. to think that salinity gradients will cause osmotic-related mortality in planktonic animals mostly during strong mixing events, i.e. during heavy winds associated with storms or enhanced runofff (Guerrero et al., 1997). But the chance to observe such events is low due to their episodic nature; also, there are obvious constraints to sailing and sampling during rough weather, which result in data sets skewed towards calmer sea conditions less likely to promote the mixing needed to cause osmotic shock stress to euryhaline A. tonsa. These ideas should be tested by applying the technique immediately after strong mixing episodes. Crippen, R. W. and Perrier, J. L. (1974) The use of Neutral Red and Evans Blue for live-dead determinations of marine plankton. Stain Technol., 49, 97–104. Dressel, D. M., Heinle, D. R. and Grote, M. C. (1972) Vital staining to sort dead and live copepods. Chesapeake Sci., 13, 156–159. Dubovskaya, O. P., Gladyshev, M. I., Gubanov, V. G. et al. (2003) Study of non-consumptive mortality of Crustacean zooplankton in a Siberian reservoir using staining for live/dead sorting and sediment traps. Hydrobiologı́a, 504, 223–227. Elliott, D. T. and Tang, K. W. (2009) Simple staining method for differentiating live and dead marine zooplankton in field samples. Limnol. Oceanogr.: Methods, 7, 585–594. Elliott, D. T. and Tang, K. W. (2011) Spatial and Temporal Distributions of Live and Dead Copepods in the Lower Chesapeake Bay (Virginia, USA). Estuar. Coast., 34, 1039–1048. Fleming, J. M. and Coughlan, J. (1978) Preservation of vitally stained zooplankton for live/dead sorting. Estuaries, 1, 135– 137. Guerrero, R., Acha, E., Framinan, M. et al. (1997) Physical oceanography of the Rio de la Plata Estuary, Argentina. Cont. Shelf Res., 7, 727–742. Moore, D. S. and McCabe, G. P. (1999) Introduction to the Practice of Statistics. 3rd edn. W. H. Freeman, New York. 269 JOURNAL OF PLANKTON RESEARCH j VOLUME 36 j NUMBER 1 j PAGES 265 – 270 j 2014 Rodriguez-Graña, L., Calliari, D., Tiselius, P. et al. (2010) Gender-specific ageing and non-Mendelian inheritance of oxidative damage in marine copepods. Mar. Ecol. Prog. Ser., 401, 1 –13. Thor, P., Nielsen, T. G. and Tiselius, P. (2008) Mortality rates of epipelagic copepods in the post-spring bloom period in Disko Bay, western Greenland. Mar. Ecol. Prog. Ser., 359, 151 –160. Tang, K. W., Freund, C. S. and Schweitzer, C. L. (2006) Occurrence of copepod carcasses in the lower Chesapeake Bay and their decomposition by ambient microbes. Estuar. Coast. Shelf Sci., 68, 499–508. Zetsche, E. and Meysan, F. J. (2012) Dead or alive? Viability assessment of micro- and mesoplankton. J. Plankton Res., 34, 493 – 509. 270
© Copyright 2026 Paperzz