Feeding, survival, and reproduction of two populations of Eurytemora (Copepoda) exposed to local toxic cyanobacteria

Studying the responses of crustacean zooplankton to harmful algal blooms is important for understanding changes in lower food webs following eutrophication in the Laurentian Great Lakes and other regions around the world. Here we examine responses to toxic cyanobacteria by crustacean copepods of the genus Eurytemora from eutrophic coastal regions of Lake Michigan (Green Bay) and the Baltic Sea (Gulf of Finland). We measured grazing, survivorship, reproduction, and juvenile (nauplius) size in short-term laboratory experiments. Females were incubated with representative non-toxic food and mixtures of non-toxic food with either cyanobacteria or cyanobacteria filtrate. Eurytemora from both locations were affected negatively by cyanobacteria filtrates, even with non-toxic food available. Eurytemora carolleeae from Green Bay exhibited reduced grazing rates when exposed to filtrates, but this effect was not observed when animals were fed the cyanobacteria and filtrate along with non-toxic food. Eurytemora sp. from the Baltic Sea given filtrates and non-toxic food also exhibited decreased grazing rates, as well as decreased adult survival and nauplius size. Similarly, when cyanobacterial cells were included along with filtrate and non-toxic food these effects were not observed. Our results also demonstrated a significant trade-off between offspring quantity and quality for both groups of animals, being more pronounced when food quality was manipulated by the presence of cyanobacterial cells. These findings further our knowledge of how a widely distributed group like Eurytemora may respond in the face of changing local selection pressures from natural and anthropogenic stressors. (C) 2017 International Association for Great Lakes Research. Published by Elsevier B.V. All rights reserved.Peer reviewe

Diapause in Calanoid Copepods: within-clutch hatching patterns

Diapause is a major life history feature of many invertebrate organisms. Determining the phenology of diapause is critical for understanding survival and reproductive success of individuals as well as the long-term viability of many populations. The time spent in dormancy by individuals and variability among offspring in the duration of dormancy are two important aspects of invertebrate life histories. Some data are available, especially on duration of diapause, for plants and insects, but little information is available concerning variability among offspring in diapause traits. This is especially true for crustacean zooplankton, where essentially no information has been published on duration of diapause or variability among offspring in diapause timing or dynamics. Here I present data on the duration of diapause, and variability among offspring for diapause characteristics. The freshwater calanoid copepod Onychodiaptomus sanguineus, an obligately sexual species, was collected from Bullhead Pond, Rhode Island, U.S.A., and raised under conditions in the laboratory to induce production of diapausing eggs. One hundred clutches of these diapausing eggs (920 total eggs) were incubated for over two years in a full-factorial experiment testing the effects of temperature and photoperiod cycles on the hatching dynamics and duration of diapause. Overall hatching success was highest (approximately 86%) for eggs exposed to simultaneous temperature and photoperiod cycles mimicking natural changes, and was lowest (approximately 20%) when eggs were incubated at constant temperature (4 °C) and in constant dark conditions. The highest fraction of eggs hatched at approximately 550 days of age, but the age of eggs at hatching was highly variable among clutches. There was also large variability within clutches for hatching patterns, with some clutches containing eggs that all hatched synchronously and others in which eggs hatched more continuously throughout the experiment. Treatment conditions significantly affected within-clutch synchrony of hatching, as well as synchrony of the onset of hatching. These results of high within-clutch variability and differences among clutches in diapause dynamics have important implications for our understanding of reproductive success of individuals producing diapausing eggs, parent-offspring conflict, and the evolution of bet-hedging strategies in invertebrates

A field test for the cues of diapause in a freshwater copepod

The freshwater calanoid copepod Diaptomus sanguineus switches each year in spring from making eggs that hatch immediately to making diapausing eggs that rest in lake sediments for an extended period. In lakes and ponds containing planktivorous fish, the timing of the switch is highly consistent between years and comes at the theoretically optimal time (late March) to avoid intense summer predation. In fishless ponds the timing comes 1-2 mo later. We investigate here the environmental cues used by the copepods to time the switch to diapause. Through the use of both field and laboratory manipulations, we show that temperature and photoperiod play central roles as diapause stimuli. A field manipulation of fish density failed to reveal either a direct induction of diapause or any more subtle effects of fish occurrence on diapause timing. The copepods made immediately hatching eggs under short-day or low-temperature conditions, and diapausing eggs under long days or high temperatures. There appears to be variation between individuals in their responses to temperature and photoperiod so that similar diapause phenologies are produced by different sensitivities to the environmental cues

Comparing Cyanobacterial Bloom Phenology in Green Bay and Lake Winnebago with western Lake Erie and Saginaw Bay

Cyanobacteria blooms are increasingly monitored around the world, owing to their potential to cause economic, environmental, and human health risks. One approach to monitor and model cyanobacterial biomass is to use satellite imagery to obtain long-term data sets. This presentation uses an existing algorithm developed for MERIS for cyanobacterial biomass validated with cyanobacterial biovolume estimates in Green Bay. The resulting satellite data set was used to determine the phenology of the cyanobacterial biomass and blooms in Green Bay and adjoining Lake Winnebago from 2002-2011. The relative size and timing of cyanobacteria blooms in Green Bay will be investigated with those in Lake Winnebago. Climatological data on several atmospheric and water variables obtained from the NASA Giovanni dataset was used to separate the upper 50% of bloom years and lower 50% of bloom years in Green Bay. The Giovanni dataset was then used to compare blooms from two other cyanobacterial bloom hotspots in the Great Lakes: western Lake Erie and Saginaw Bay. These data showed that separation was possible using as few as three variables from ancillary datasets

Cyanobacterial Bloom Phenology in Green Bay Using MERIS Satellite Data and Comparisons with Western Lake Erie and Saginaw Bay

Cyanobacteria blooms have been reported to be increasing worldwide. In addition to potentially causing major economic and ecological damage, these blooms can threaten human health. Furthermore, these blooms can be exacerbated by a warming climate. One approach to monitoring and modeling cyanobacterial biomass is to use processed satellite imagery to obtain long-term data sets. In this paper, an existing algorithm for estimating cyanobacterial biomass previously developed for MERIS is validated for Green Bay using cyanobacteria biovolume estimates obtained from field samples. Once the algorithm was validated, the existing MERIS imagery was used to determine the bloom phenology of the cyanobacterial biomass in Green Bay. Modeled datasets of heat flux (as a proxy for stratification), wind speed, water temperature, and gelbstoff absorption along with in situ river discharge data were used to separate bloom seasons in Green Bay from bloom seasons in nearby cyanobacteria bloom hotspots including western Lake Erie and Saginaw Bay. Of the ten-year MERIS dataset used here, the highest five years were considered “high bloom” years, and the lowest five years from biomass were considered “low bloom” years and these definitions were used to separate Green Bay. Green Bay had a strong relationship with gelbstoff absorption making it unique among the water bodies, while western Lake Erie responded strongly with river discharge as previously reported. Saginaw Bay, which has low interannual bloom variability, did not exhibit a largely influential single parameter

Cyanobacterial Bloom Phenology in Green Bay Using MERIS Satellite Data and Comparisons with Western Lake Erie and Saginaw Bay

Cyanobacteria blooms have been reported to be increasing worldwide. In addition to potentially causing major economic and ecological damage, these blooms can threaten human health. Furthermore, these blooms can be exacerbated by a warming climate. One approach to monitoring and modeling cyanobacterial biomass is to use processed satellite imagery to obtain long-term data sets. In this paper, an existing algorithm for estimating cyanobacterial biomass previously developed for MERIS is validated for Green Bay using cyanobacteria biovolume estimates obtained from field samples. Once the algorithm was validated, the existing MERIS imagery was used to determine the bloom phenology of the cyanobacterial biomass in Green Bay. Modeled datasets of heat flux (as a proxy for stratification), wind speed, water temperature, and gelbstoff absorption along with in situ river discharge data were used to separate bloom seasons in Green Bay from bloom seasons in nearby cyanobacteria bloom hotspots including western Lake Erie and Saginaw Bay. Of the ten-year MERIS dataset used here, the highest five years were considered “high bloom” years, and the lowest five years from biomass were considered “low bloom” years and these definitions were used to separate Green Bay. Green Bay had a strong relationship with gelbstoff absorption making it unique among the water bodies, while western Lake Erie responded strongly with river discharge as previously reported. Saginaw Bay, which has low interannual bloom variability, did not exhibit a largely influential single parameter