No description available.

published_or_final_version / Ecology and Biodiversity / Doctoral / Doctor of Philosophy

Nitrogen (N) has traditionally been regarded as the primary limiting nutrient to algal growth in marine coastal waters, but recent studies suggest that phosphorus (P) can be limiting in carbonate-rich environments. To better understand the importance of P. alkaline phosphatase activity (APA) was measured in reef macroalgae in seven counties of south Florida ; several significant trends emerged : 1) APA decreased geographically from the highest values in Dada>Monroe>Palm Beach>St. Lucie>Broward>Martin>Lee counties 2) APA varied temporally with increasing nutrient-rich runoff in the wet season 3) APA varied due to taxonomic division Phaeophyta>Rhodophyta>Chlorophyta 4) Nutrient enrichment experiments demonstrated that increased N-enrichment enhanced P-limitation while increased P decreased P-limitation. These results suggest that high APA observed in carbonate-rich waters of Dade County and low APA in Broward County resulted from high nutrient inputs associated with anthropogenic nutrient pollution. / by Courtney Kehler. / Thesis (M.S.)--Florida Atlantic University, 2012. / Includes bibliography. / Mode of access: World Wide Web. / System requirements: Adobe Reader.

La présente thèse porte sur des travaux expérimentaux et de modélisation visant à étudier les processus bactériens et algaux au sein d’une lagune a haut rendement algal (HRAP). Un système pilote HRAP a été construit et les impacts des différentes conditions opérationnelles sur l’hydrodynamique et le transfert gaz/liquide du pilote ont été étudiés. De plus, le rapport d'inoculation optimal entre les algues et les bactéries (Al-Bac) a également été étudié. La biomasse Al-Bac a ensuite été inoculée dans le système HRAP pour une évaluation à long terme du traitement des eaux usées et de la récupération des nutriments. Le HRAP dans cette étude peut être appliqué en traitement secondaire de eaux usées ou comme étape primaire éliminant rapidement les charges élevées de DCO et de TKN des retour en tête de digesteurs anaérobies (centrats). Les résultats expérimentaux obtenus ont également été utilisés pour calibrer et valider des modèles de type « boîte noire » et mécanistes. Les deux modèles peuvent décrire le fonctionnement à long terme du système. Le premier permet ainsi d'évaluer rapidement les performances du système ainsi que de le dimensionner, tandis que le second simule avec succès les résultats à long (général) et à court (détaillé) terme. L'étape suivante devrait être l'application du système à grande échelle. / The thesis focused on both experimental and modeling works aiming to investigate the algal bacterial processes in High-Rate Algal Pond (HRAP) system. A pilot HRAP system was built and the impacts of different operational conditions on hydraulic and gas transfer rate of the pilot were investigated. Moreover, optimal inoculation ratio between algae and bacteria (Al-Bac) was also studied. The Al-Bac biomass was theninoculated in the HRAP system for long term assessment of wastewater treatment and nutrient recovery. The HRAP in this study can be applied for secondary treatment application or as a primary step removing rapidly high loads of COD and TKN from centrate wastewater. Experimental results obtained were also employed in calibrating and validating black box and comprehensive algal bacterial models. Both models coulddescribe the system in long term. The former was adequate for giving quick assessment of the system performance as well as sizing application while the latter successfully simulated the results both in long (general) and short (detailed) time scale. A next step should be applying the system in large scale.

Macroalgal blooms are responses to nutrient enrichment in shallow seagrass ecosystems like the Indian River Lagoon (IRL), Florida. Little is known about nitrogen (N) and phosphorus (P) limitation or the importance of morphological/physiological characteristics of bloom-forming macroalgae (Ulva lactuca, Hypnea musciformis, and Gracilaria tikvahiae) in the IRL. We hypothesized: 1) all species would proliferate in nutrient-rich Titusville, 2) opportunistic U. lactuca would dominate, 3) Rapid Light Curves (RLCs) would assess nutrient status, and 4) nutrient concentrations would regulate growth more than N:P ratios. Field studies showed rapid biomass doubling times of 2 days (U. lactuca; November 2012) in urbanized Titusville. RLCs in a guano-enriched island off Big Pine Key (BPK) and Titusville (Ulva spp.) were similar due to P-saturation. Laboratory studies showed three-fold higher RLCs and two-fold faster growth at high nutrient concentrations of N and P. Reductions of both N and P will be required to moderate future blooms. / by Lisa N.A. Vlaming. / Thesis (M.S.)--Florida Atlantic University, 2013. / Includes bibliography. / Mode of access: World Wide Web. / System requirements: Adobe Reader.

Orientador: Lucia Helena Sipauba Tavares / Resumo: A microalga Haematococcus pluvialis apresenta elevado interesse biotecnológico e comercial devido sua capacidade de síntese de compostos de alto valor e composição nutricional rica em proteínas, aminoácidos e outros compostos. Dentre os entraves em sua produção comercial, a obtenção de elevada biomassa tem sido o foco de diversas pesquisa que buscam otimizar o cultivo desta espécie. O cultivo mixotrófico é uma ferramenta que pode auxiliar na obtenção de elevadas produtividades, no entanto a fonte de carbono utilizada nestes cultivos deve ser adequada e disponibilizada de forma correta para completa absorção. O melaço de cana de açúcar é uma fonte de carbono rica em sacarose e nutrientes podendo ser empregado no cultivo de H. pluvialis, no entanto, requer pré-tratamento antes de seu uso. A hidrólise auxilia na redução das moléculas de sacarose em glicose e frutose, aumentando a disponibilidade de carbono e facilitando sua assimilação. Comparado ao melaço in natura, a hidrolise do melaço demonstrou melhores resultados aumentando a produtividade e alta composição bioquímica. Outra ferramenta importante utilizada na otimização dos cultivos algais em condições mixotróficas é o uso de ciclos de luz, uma vez que a luminosidade está relacionada diretamente ao metabolismo algal auxiliando na assimilação dos nutrientes e do carbono. O período de iluminação fornecida varia de espécie para espécie, podendo ou não ser necessário. Neste estudo e para estas condições de cultivo, foram obser... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The Haematococcus pluvialis microalgae displays high biotechnological and commercial interest due to its capacity to synthesize high nutritional value in protein, amino acids and other compounds. Besides the difficulties in commercial production, the obtaining of high biomass amounts has been the objective of several researches which seek to optimize the production of this species. The mixotrophic culture is a tool which may improve the obtention of higher productivity. However, the carbon source for the cultures have to be adequate and has to be in an available form in order to be completely absorbed. The cane molasse is a carbon source rich in saccharose and nutrients and might be employed in H. pluvialis culture. Nevertheless, it requires a pre-treatment for its use. The hydrolysis promotes the reduction of saccharose molecules into glycose and fructose, improving the carbon availability and assimilation. In comparison to in natura molasses, the hydrolysis improved the results by increasing productivity. Light cycle is another important tool for algae culture in mixotrophic conditions, since light is directly related to the algae metabolism, which improves the carbon and nutrients assimilation. The light interval varies according to species and may or may not be necessary to be employed. In this study, an increase in biomass and biochemical composition was observed when H. pluvialis was exposed to light cycles. The best results were obtained with a 20:4 hours cycle (light/... (Complete abstract click electronic access below) / Doutor

Historical water quality databases from two South Australian drinking water reservoirs were used, in conjunction with various computational modelling methods for the ordination, clustering and forecasting of complex ecological data. Techniques used throughout the study were: Kohonen artificial neural networks (KANN) for data categorisation and the discovery of patterns and relationships, recurrent supervised artificial neural networks (RANN) for knowledge discovery and forecasting of algal dynamics and hybrid evolutionary algorithms (HEA) for rule-set discovery and optimisation for forecasting algal dynamics. These methods were combined to provide an integrated approach to the analysis of algal populations including interactions within the algal community and with other water quality factors, which results in improved understanding and forecasting of algal dynamics. The project initially focussed on KANN for the patternising and classification of the historical data to reveal links between the physical, chemical and biological components of the reservoirs. This offered some understanding of the system and relationships being considered for the construction of the forecasting models. Specific investigations were performed to examine past conditions and the impacts of different management regimes, as well as to discover sets of conditions that correspond with specific algal functional groups. RANN was then used to build models for forecasting both Chl-a and the main nuisance species, Anabaena, up to 7 days in advance. This method also provided sensitivity analyses to demonstrate the relationship between input and output variables by plotting the reaction of the output to variations in the inputs. Initially one year from the data set was selected for the testing of a model, as per the split-sample technique. To further test the models, it was later decided to select several years for testing to ensure the models were useful under changed conditions, and that test results were not misleading regarding the models true capabilities. RANN were firstly used to create reservoir specific or ad-hoc models. Later, the models were trained with the merged data sets of both reservoirs to create one model that could be applied to either reservoir. Another method of forecasting was trialled and compared to RANN. HEA was found to be equal or superior to RANN in predictive power, also allowed sensitivity analysis and provided an explicit, portable rule set. The HEA rule sets were initially tested on selected years of data, however to fully demonstrate the models potential, a process for k-fold cross-validation was developed to test the rule-set on all years of data. To further extend the applicability of the HEA rule-set; the idea of rule-based agents for specific lake ecosystem categories was examined. The generality of a rule-based agent means that, after successful validation on several lakes from one category, the agent could then be applied to other water bodies from within that category that had not been involved in the training process. The ultimate test of the rule-based agent for the warm monomictic and eutrophic lake ecosystem category was to be applied to a real-time monitoring and forecasting situation. The agent was fed with online, real-time data from a reservoir that belonged to the same ecosystem category but was not used in the training process. These preliminary experiments showed promising results. It can be concluded that the concept of rulebased agents will facilitate real-time forecasting of algal blooms in drinking water reservoirs provided on-line monitoring of relevant variables has been implemented. Contributions of this research include: (1) to offer insight into the capabilities of 3 kinds of computational modelling techniques applied to complex water quality data, (2) novel applications of KANN including the division of data into separate management periods for comparison of management efficiency, (3) to both qualitatively and quantitatively elucidate relationships between water quality parameters, (4) research toward the development of a forecasting tool for algal abundance 7 days in advance that could be generic for a particular lake ecosystem category and implemented in real-time, and (5) to suggest a thorough testing method for such models (k-fold cross validation). / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1331584 / Thesis (Ph.D.) -- University of Adelaide, School of Earth and Environmental Sciences, 2008

Harmful algal blooms, commonly referred to as red tides, occur yearly with dramatic impacts on marine ecology, coastal economies, and human health. As a consequence, research into the zooplankton grazers that consume HABs is highly important. However, changes in ocean temperature may increase the range of many HABs, exposing historically naive copepods to new species and their associated chemicals. Little research into the impact of allopatric verses sympatric species, particularly on the immediate behavioral impact, has been performed, leaving the indirect fitness effects of HAB exposure and consumption relatively unknown. We measured alterations in the swimming behavior of the calanoid copepod Temora longicornis following exposure to sympatric Alexandrium fundyense and allopatric Karenia brevis treatments. After a 15-16 hours depuration period postA. fundyense exposure, T. longicornis exhibited increased average swimming speed and an elevated net to gross displacement ratio (NGDR). During exposure toK. brevis, copepods exhibited an immediate decrease in swimming speed and NGDR, as well as an increased frequency of jump behavior. However, these effects faded after an one-hour depuration period, and disappeared after a 15-16 hour depuration period. The alterations in swimming behavior demonstrated by the copepods treated A. fundyense may increase encounter rate with predators, while copepods treated with K. brevis remain in bloom conditions for longer periods of time, negatively affecting survivorship. Temora longicornis individuals also may be made more visible to predators due to the increase in jumps seen during treatment with K. brevis. These behavioral changes suggest how HABs escape from zooplankton grazer control by altering copepod swimming behavior, and the pattern of predator-prey evolution that occurs over time.

To initiate algal virus research in the Bay of Quinte, three stations were sampled biweekly throughout 2011. By targeting algal virus DNA polymerase, major capsid protein genes (MCP), and a Microcystis aeruginosa cyanophage (Ma-LMM01) tail sheath protein gene, PCR amplification revealed diverse and unique Phycodnaviruses (viruses of eukaryotic algae) and cyanophage. When analysed statistically, patterns of virus abundance suggested that the seasonality of any one virus cannot be generalised to predict that of other viruses, even among closely related viruses. This study also demonstrated a strong relationship between algal virus abundance and host biomass. It was found that despite the apparent heterogeneity of virus abundance across the Bay, virus abundance patterns clustered by sampling date and geographic location. By providing evidence for diverse algal viruses with complex seasonality, this work highlights significant gaps in the current understanding of Bay of Quinte phytoplankton ecology.

To initiate algal virus research in the Bay of Quinte, three stations were sampled biweekly throughout 2011. By targeting algal virus DNA polymerase, major capsid protein genes (MCP), and a Microcystis aeruginosa cyanophage (Ma-LMM01) tail sheath protein gene, PCR amplification revealed diverse and unique Phycodnaviruses (viruses of eukaryotic algae) and cyanophage. When analysed statistically, patterns of virus abundance suggested that the seasonality of any one virus cannot be generalised to predict that of other viruses, even among closely related viruses. This study also demonstrated a strong relationship between algal virus abundance and host biomass. It was found that despite the apparent heterogeneity of virus abundance across the Bay, virus abundance patterns clustered by sampling date and geographic location. By providing evidence for diverse algal viruses with complex seasonality, this work highlights significant gaps in the current understanding of Bay of Quinte phytoplankton ecology.