Daniel L. Roelke

Health and Ecological Impacts of Harmful Algal Blooms: Risk Assessment Needs

The symposium session, Indicators for Effects and Predictions of Harmful Algal Blooms, explored the current state of indicators used to assess the human health and ecological risks caused by harmful algal blooms, and highlighted future needs and impediments that must be overcome in order to provide a complete risk assessment of their impacts. Six recognized human poisoning syndromes resulting from algal toxins (paralytic, neurotoxic, amnesic, diarrhetic shellfish poisonings, ciguatera fish poisoning, and putative estuary associated syndrome) impact human health through consumption of contaminated seafood, direct contact with bloom water, or inhalation of aerosolized toxin. Thorough health risk assessment for the variety of algal toxins is hampered to varying degrees because either the toxin has not been identified or indicators for exposure and effects remain poorly defined. Predicting the occurrence and determining the impacts of harmful algal blooms in coastal ecosystems are the two major ecological risk assessment needs. In the former case, the hazard is the suite of conditions that trigger bloom initiation, magnify bloom intensity or support bloom longevity, whereas in the latter case, the hazard is the algal toxin. In both cases, indicators (of triggering mechanisms, exposure, and effects) are better defined for some HAB species and toxins than others, but are by no means complete.

Copepod food-quality threshold as a mechanism influencing phytoplankton succession and accumulation of biomass, and secondary productivity: a modeling study with management implications

Development of proactive management schemes may be necessary to combat the apparent worldwide increase in harmful algal blooms. Design of such schemes will require a thorough understanding of bloom-initiating processes in an ecosystem context. To further explore potential synergistic effects between abiotic and biotic processes impacting plankton community dynamics a detailed numerical model was developed and tested. The model featured multiple growth limiting resources (nitrogen, phosphorus, silica, light), multiple phytoplankton groups (P-specialist, N-specialist, intermediate group), aspects of the microbial loop (labile dissolved organic nitrogen, bacteria, microflagellates, ciliates), and a capstone predator (copepods). Model simulations illuminated the potential role of food-quality threshold as it effected initiation of an algal bloom. The mechanism controlling whether a bloom would occur and secondary productivity cease was the timing of the onset of bottom‐up control (nutrient limitation) relative to top‐down control (high grazing pressure). Simulations where top‐down control occurred before bottom‐up control were characteristic of Lotka‐Volterra type behavior. However, during simulations where top‐down control began after bottom‐up control an algal bloom resulted and secondary productivity ceased. This occurred because at the time of maximum grazing activity the N-content of one of the phytoplankton groups was below the food-quality threshold for copepods. Consequently, copepod growth was not great enough to offset losses. As a result, the copepod population was eliminated and an algal bloom ensued. The timing of the onset of bottom‐up and top‐down control was sensitive to some abiotic conditions that included magnitude, mode, and ratio of nutrient loading. Through manipulation of these abiotic processes, it was possible to maintain phytoplankton species diversity, enhance secondary productivity, and prevent an algal bloom.

Fundamental predictability in multispecies competition: the influence of large disturbance.

Empirical evidence of chaos, or complex behavior, in ecosystems is scarce, presumably due to high system‐level noise and/or the rarity of conditions necessary for complex behavior to arise. An alternative explanation might be that complex behavior is fragile and readily suppressed by disturbances that are common in many ecosystems. Here we investigated the role of disturbance frequency and magnitude on complex behavior and focused on population succession trajectories in a plankton system. Because of its prominence in aquatic ecology, we used hydraulic flushing and nutrient loading as disturbances. Our findings from numerical modeling exercises and laboratory microcosm experiments using natural plankton assemblages indicated that one aspect of complex behavior, divergence of nearby trajectories, was suppressed when the magnitude and periodicity of hydraulic flushing and nutrient loading were large. In other words, complex succession became determinable. Divergence of nearby trajectories was relatively robust, however, because pulses of not less than 85% of the total inflow were required to suppress this behavior. Our numerical findings also revealed that large hydraulic disturbances could introduce to the system another aspect of complex behavior, aperiodic succession.

Seasonally variable riverine production in the Venezuelan llanos

Abstract We examined primary production, respiration, and nutrient dynamics in littoral areas of the mainstem and lagoons of the Cinaruco, a nutrient-poor river in the Venezuelan llanos. Gross primary productivity (GPP) was relatively high, given the poor nutrient conditions in this river. Seasonal variability in net ecosystem production (NEP) was also high, with highest values occurring in the dry season (March–April) when fish biomass and chlorophyll a (both water-column and benthic) levels were greatest (dry-season NEP = 542 mg C m−2 d−1, wet-season NEP = 303 mg C m−2 d−1). NEP and algal biomass (measured as chlorophyll a) were higher in lagoons than at river sites, with more pronounced differences between these 2 habitats during the dry season. Strong N limitation was evident. Dissolved inorganic N (DIN) concentrations always were <2 μM and typically were <0.5 μM. Molar ratios of DIN:SRP (soluble reactive P) varied little seasonally and were always <8. As in other Neotropical aquatic systems, water-column productivity was an important source of organic matter and was >2× benthic productivity, even in shallow regions of the riverine ecosystem. Low nutrient levels combined with high rates of autochthonous productivity in the littoral zone of this river suggest extremely rapid nutrient cycling rates and support the view that the littoral regions may be important in providing the organic matter that maintains secondary production, consistent with the Riverine Productivity Model and other observations in the Orinoco Basin.

Nutrient and phytoplankton dynamics in a sewage-impacted Gulf coast estuary: A field test of the PEG-model and equilibrium resource competition theory

Eutrophication and noxious bloom events are becoming more prevalent with increasing anthropogenic activities. To lessen ecological damage, there is a need to develop phytoplankton management programs aimed at enhancing growth of beneficial algae. The success of such management schemes with be dependent on the predictability of phytoplankton succession within the target system to a controlled perturbation. Freshwater lakes appear to exhibit a degree of predictability as described by the PEG-model and Equilibrium Resource Competition theory. We investigated whether these concepts could be applied to a marine system, the Nueces River estuary, Texas. The PEG-model predicted nicely the initial occurrence of edible phytoplankton forms after a favorable nutrient perturbation. Equilibrium Resource Competition theory, however, only successfully predicted the occurrence of major phytoplankton taxa immediately after a nutrient perturbation. Systemwide correlations between N:P and cyanobacteria, green algae, and diatoms were poor. In the Nueces River estuary, succession within the phytoplankton community showed a degree of predictability to nutrient perturbations. Therefore, management of the phytoplankton community composition may be possible. The PEG-model appears to be a useful guide for a phytoplankton management scheme, while the utility of Equilibrium Resource Competition may be limited.

Influence of Pulsed Inflows and Nutrient Loading on Zooplankton and Phytoplankton Community Structure and Biomass in Microcosm Experiments Using Estuarine Assemblages

Productivity and community structure of phytoplankton and zooplankton are influenced by hydrologic disturbances in many ways. In a recent modeling study it was suggested that pulsed inflows might enhance zooplankton performance, curb accumulation of phytoplankton accumulated biomass, and promote phytoplankton species diversity. We tested these predictions by performing microcosm experiments on natural plankton assemblages from the Nueces Delta, TX, USA. On three occasions (March, June, and September 2001), experiments of semi-continuous and flow-through design were conducted using natural plankton assemblages. We investigated the effect of two different inflow and nutrient loading regimes on zooplankton biomass, and phytoplankton biomass and diversity, i.e., continuous and pulsed inflows of 3xa0day frequency. Despite differences in initial community structure on these three occasions, as well as the very different communities that arose between experimental designs, our findings showed that pulsed inflows altered plankton dynamics. In all cases, pulsed inflows resulted in greater zooplankton biomass. In most cases, pulsed inflows resulted in lower phytoplankton biomass and higher diversity. We speculate that greater phytoplankton diversity in the pulsed flow treatments favored selectively feeding zooplankton, whose better performance prevented higher accumulation of phytoplankton biomass.

The Diversity of Harmful Algal Bloom-Triggering Mechanisms and the Complexity of Bloom Initiation

Mechanisms influencing initiation of harmful algal blooms (HABs) are diverse, and are not likely to be mutually exclusive. Rather, initiation of HABs is a result of interactions between processes, which result in biological, physical, and chemical conditions optimal for a bloom. Due to the complexity of some bloom initiation processes, bloom-preventative management may be possible. Results from a modeling exercise and a laboratory experiment indicated that a phytoplankton bloom could be circumvented through manipulation of the nutrient-loading mode, i.e., pulsed vs. continuous loading. These findings, should they prove consistent in more robust field experiments, may provide insights for the development of new management approaches for some HABs. Optimal bloom conditions, however, vary between HAB species. Consequently, it is unlikely that a single management solution will exist. Preventative management efforts will require early warning of HAB initiation, perhaps even before the appearance of an HAB species. An indicator based on the dynamic nature of phytoplankton succession events and phytoplankton species diversity may prove useful for this purpose. Applying this index to an existing plankton data set showed that Microcystis blooms might have been predicted months before the start of the bloom.

Hydrological seasonality and benthic algal biomass in a Neotropical floodplain river

Abstract Our study evaluated spatiotemporal variation of physicochemical parameters and benthic and sestonic algal biomass in littoral areas of the main channel and floodplain lakes of the Cinaruco River, a lowland tributary of the Orinoco River in Venezuela. The Cinaruco is characterized by a highly predictable annual flood pulse, high transparency, and extremely low conductivity and suspended sediment load. During 2002 and 2003, 10 sites in the main channel and floodplain lagoons were sampled on 12 occasions. Correspondence analysis based on water physicochemical variables and algal biomass showed that ˜80% of the variation in the multivariate space among sites and sampling dates was explained by 2 axes. During the high-water periods, river and lagoon sites showed high similarity in water variables and algal biomass. Conductivity, SiO3, and chlorophyll a concentrations (both benthic and sestonic) were low during the high-water phase. On the other hand, water variables and algal biomass differed between river and lagoon sites during the low-water period. The absence of flow in lagoons and consistently low algal biomass (sestonic and benthic) in river sites were the most important features of the spatial variability between main channel and lagoon sites during low-water phases. Benthic chlorophyll a was highly uniform at small spatial scales and significantly heterogeneous at large spatial scales. The annual flood regime of the Cinaruco, which drives the concentrations of dissolved materials and affects material interchanges between aquatic and terrestrial systems, also appears to be responsible for creating strong patterns of seasonal and spatial variation in benthic algal crops.

Interannual variability in the seasonal plankton succession of a shallow, warm-water lake

Common seasonal plankton succession patterns in temperate lakes are well understood, and were described in the popular PEG-model. Seasonal plankton succession in warm-water lakes, however, is not as well known. Recent theory suggests that some lake systems are characteristic of having alternate system-states, where one of the system-states is characterized by dominance of cyanobacteria, and transition between system-states can be abrupt and undeterminable. Lake Somerville, a shallow, well-mixed, warm-water reservoir located in eastern TX, U.S.A., experiences occasional periods of cyanobacteria dominance. To increase our understanding of seasonal plankton dynamics in warm-water systems, we analyzed 14-years of plankton data spanning a 22-year period. During this period, succession dynamics characteristic of those described by the PEG-model were observed, as well as succession dynamics expected during periods of cyanobacteria dominance, i.e., greater accumulated phytoplankton biovolume, low secondary productivity, and low light penetration. In addition to the PEG-model and cyanobacteria type system-states, other states of the system that were intermediate between these were observed. Therefore, we conclude the lake does not behave according to the alternate system-states model. The change from year to year in early-year cyanobacteria dominance was abrupt and non-monotonic during this period. In addition, the early year performance of cyanobacteria appeared to influence the plankton succession trajectory for the remainder of the season. While the magnitude of lake-flushing early in the year accounted for ∼37% of variability in cyanobacteria prevalence, many of the traditional factors impacting cyanobacteria dominance appeared insignificant.

Comparison of two domoic acid-producing diatoms: a review

In the past five years, awareness of domoic acid has increased from localized problems in Canada to outbreaks along both North American coasts. The phycotoxin domoic acid causes Amnesic Shellfish Poisoning (ASP) in humans and can be fatal. The known species of phytoplankton responsible for production of domoic acid include some pennate diatom species of the genus Nitzschia, sensu latu, which form stepped chains typical of the Pseudonitzschia. These diatoms are widely distributed, but their life histories and population dynamics are poorly understood. This review addresses histories of occurrences, morphology, geographical distributions, seasonal patterns, growth requirements, domoic acid production, and trophic interactions, with emphasis on a comparison of Pseudonitzschia pungens f. multiseries (Hasle) Hasle and Pseudonitzschia australis Frenguelli. Through continued research it will become possible to provide guidelines for regulatory agencies that protect both the consumer and the seafood industry.