Use of bioassays and biomarkers in Daphnia magna to assess the effect of pharmaceutical residuals in freshwater ecosystems

Widespread occurrence of pharmaceuticals residues has been reported in aquatic ecosystems. However, their toxic effects on aquatic biota remain unclear. Generally, the acute toxicity has been assessed in laboratory experiments, while chronic toxicity studies have rarely been performed. Of importance appears also the assessment of mixture effects, since pharmaceuticals never occur in waters alone. The aim of the present work is to evaluate acute and chronic toxic response in the crustacean Daphnia magna exposed to single pharmaceuticals and mixtures. We tested fluoxetine, a SSRI widely prescribed as antidepressant, and propranolol, a non selective β-adrenergic receptor-blocking agent used to treat hypertension. Acute immobilization and chronic reproduction tests were performed according to OECD guidelines 202 and 211, respectively. Single chemicals were first tested separately. Toxicity of binary mixtures was then assessed using a fixed ratio experimental design with concentrations based on Toxic Units. The conceptual model of Concentration Addition was adopted in this study, as we assumed that the mixture effect mirrors the sum of the single substances for compounds having similar mode of action. The MixTox statistical method was applied to analyze the experimental results. Results showed a significant deviation from CA model that indicated antagonism between chemicals in both the acute and the chronic mixture tests. The study was integrated assessing the effects of fluoxetine on a battery of biomarkers. We wanted to evaluate the organism biological vulnerability caused by low concentrations of pharmaceutical occurring in the aquatic environment. We assessed the acetylcholinesterase and glutathione s-transferase enzymatic activities and the malondialdehyde production. No treatment induced significant alteration of biomarkers with respect to the control. Biological assays and the MixTox model application proved to be useful tools for pharmaceutical risk assessment. Although promising, the application of biomarkers in Daphnia magna needs further elucidation.

Biogenic volatile organic compounds in tropical, temperate and boreal forest ecosystems

Biogene flüchtige organische Verbindungen (BFOV) werden in großen Mengen aus terrestrischenrnÖkosystemen, insbesondere aus Wäldern und Wiesen, in die untere Troposphäre emittiert. Austausch-rnFlüsse von BFOVs sind in der troposphärischen Chemie wichtig, weil sie eine bedeutende Rolle in derrnOzon- und Aerosolbildung haben. Trotzdem bleiben die zeitliche und räumliche Änderung der BFOVrnEmissionen und ihre Rolle in Bildung und Wachstum von Aerosolen ungewiss.rnDer Fokus dieser Arbeit liegt auf der in-situ Anwendung der Protonen Transfer ReaktionsrnMassenspektrometrie (PTR-MS) und der Messung von biogenen flüchtigen organischen Verbindungen inrnnordländischen, gemäßigten und tropischen Waldökosystemen während drei unterschiedlicherrnFeldmesskampagnen. Der Hauptvorteil der PTR-MS-Technik liegt in der hohen Messungsfrequenz,rnwodurch eine eventuelle Änderung in der Atmosphäre durch Transport, Vermischung und Chemiernonline beobachtet werden kann. Die PTR-MS-Messungen wurden zweimal am Boden aus und einmalrnvon einem Forschungsflugzug durchgeführt.rnIn Kapitel 3 werden die PTR-MS-Daten, gesammelt während der Flugmesskampagne über demrntropischen Regenwald, vorgelegt. Diese Studie zeigt den Belang der Grenzschichtdynamik für diernVerteilung von Spurengasen mittels eines eindimensionalen Säule - Chemie und KlimaModells (SCM).rnDer Tagesablauf von Isopren zeigte zwischen 14:00 und 16:15 Uhr lokaler Zeit einen Mittelwert vonrn5.4 ppbv auf der Höhe der Baumspitzen und von 3.3 ppbv über 300 m Höhe. Dies deutet darauf hin, dassrnsowohl der turbulente Austausch als auch die hohe Reaktionsfähigkeit von Isopren mit den OxidantienrnOH und Ozon eine wichtige Rolle spielen. Nach dem Ausgleich von chemischen Verlusten undrnEntrainment (Ein- und Ausmischung von Luft an der Grenzschicht), wurde ein Fluss vonrn8.4 mg Isopren m-2h-1 unter teilweise bewölkten Bedingungen für den tropischen Regenwald in derrnGuyanregion abgeschätzt. Dies entspricht einem täglichen Emissionsfluss von 28 mg Isopren prornQuadratmeter.rnIm Kapitel 4 werden die Messungen, welche auf einer Hügellage in gemäßigter Breite inrnsüddeutschland stattgefunden haben, diskutiert. Bei diesem Standort ist die Grenzschicht nachts unter diernStandorthöhe abgefallen, was den Einsatzort von Emissionen abgesondert hatte. Während diernGrenzschicht morgens wieder über die Höhe des Einsatzortes anstieg, konnten die eingeschlossenenrnnächtlichen Emissionen innerhalb der bodennahen Schicht beobachtet werden. Außerdem wurde einrndeutlicher Anstieg von flüchtigen organischen Verbindungen gemessen, wenn die Luftmassen überrnMünchen geführt wurden oder wenn verschmutzte Luftmassen aus dem Po-Tal über die Alpen nachrnDeutschland transportiert wurden. Daten von dieser Kampagne wurden genutzt, um die Änderungen inrndem Mischungsverhältnis der flüchtigen organischen Verbindungen, verbunden mit dem Durchfluss vonrnwarmen und kalten Wetterfronten sowie bei Regen zu untersuchen.rnIm Kapitel 5 werden PTR-MS-Messungen aus dem nördlichen Nadelwaldgürtel beschrieben. Starkernnächtliche Inversionen mit einer niedrigen Windgeschwindigkeit fingen die Emissionen vonrnnahegelegenen Kiefernwäldern und andere BFOV-Quellen ab, was zu hohen nächtlichen BFOVMischverhältnissenrnführte. Partikelereignisse wurden für Tag und Nacht detailliert analysiert. Diernnächtlichen Partikelereignisse erfolgten synchron mit starken extremen von Monoterpenen, obwohl dasrnzweite Ereignis Kernbildung einschloss und nicht mit Schwefelsäure korrelierte. Die MonoterpenrnMischungsverhältnisse von über 16 ppbv waren unerwartet hoch für diese Jahreszeit. NiedrigernWindgeschwindigkeiten und die Auswertung von Rückwärtstrajektorien deuten auf eine konzentrierternQuelle in der Nähe von Hyytiälä hin. Die optische Stereoisomerie von Monoterpenen hat bestätigt, dassrndie Quelle unnatürlich ist, da das Verhältnis von [(+)-α-pinen]/[(−)-α-pinen] viel höher ist als dasrnnatürliches Verhältnis der beiden Enantiomeren.

Effects of N fertilization on forest trees and ecosystems: water use, WUE, growth

During my three academic years, I focused on the effects of N fertilization on growth and function of plants and forest stands. The study had the dual objective of estimating the effects of atmospheric N deposition and evaluating the potential management value of N fertilization itself. In particular, the analysis took into account the changes induced in water use and intrinsic transpiration efficiency (ITE), an aspect often overlooked in world literature but of great importance especially in Mediterranean environment, where the positive effects of N fertilization may be denied by the parallel increased transpiration and exacerbated water stress.

Distributed Smart City Services for Urban Ecosystems

A Smart City is a high-performance urban context, where citizens live independently and are more aware of the surrounding opportunities, thanks to forward-looking development of economy politics, governance, mobility and environment. ICT infrastructures play a key-role in this new research field being also a mean for society to allow new ideas to prosper and new, more efficient approaches to be developed. The aim of this work is to research and develop novel solutions, here called smart services, in order to solve several upcoming problems and known issues in urban areas and more in general in the modern society context. A specific focus is posed on smart governance and on privacy issues which have been arisen in the cellular age.

Engineering Complex Computational Ecosystems

Self-organising pervasive ecosystems of devices are set to become a major vehicle for delivering infrastructure and end-user services. The inherent complexity of such systems poses new challenges to those who want to dominate it by applying the principles of engineering. The recent growth in number and distribution of devices with decent computational and communicational abilities, that suddenly accelerated with the massive diffusion of smartphones and tablets, is delivering a world with a much higher density of devices in space. Also, communication technologies seem to be focussing on short-range device-to-device (P2P) interactions, with technologies such as Bluetooth and Near-Field Communication gaining greater adoption. Locality and situatedness become key to providing the best possible experience to users, and the classic model of a centralised, enormously powerful server gathering and processing data becomes less and less efficient with device density. Accomplishing complex global tasks without a centralised controller responsible of aggregating data, however, is a challenging task. In particular, there is a local-to-global issue that makes the application of engineering principles challenging at least: designing device-local programs that, through interaction, guarantee a certain global service level. In this thesis, we first analyse the state of the art in coordination systems, then motivate the work by describing the main issues of pre-existing tools and practices and identifying the improvements that would benefit the design of such complex software ecosystems. The contribution can be divided in three main branches. First, we introduce a novel simulation toolchain for pervasive ecosystems, designed for allowing good expressiveness still retaining high performance. Second, we leverage existing coordination models and patterns in order to create new spatial structures. Third, we introduce a novel language, based on the existing ``Field Calculus'' and integrated with the aforementioned toolchain, designed to be usable for practical aggregate programming.

Modelling biogeochemical cycles in forest ecosystems: a Bayesian approach

Forest models are tools for explaining and predicting the dynamics of forest ecosystems. They simulate forest behavior by integrating information on the underlying processes in trees, soil and atmosphere. Bayesian calibration is the application of probability theory to parameter estimation. It is a method, applicable to all models, that quantifies output uncertainty and identifies key parameters and variables. This study aims at testing the Bayesian procedure for calibration to different types of forest models, to evaluate their performances and the uncertainties associated with them. In particular,we aimed at 1) applying a Bayesian framework to calibrate forest models and test their performances in different biomes and different environmental conditions, 2) identifying and solve structure-related issues in simple models, and 3) identifying the advantages of additional information made available when calibrating forest models with a Bayesian approach. We applied the Bayesian framework to calibrate the Prelued model on eight Italian eddy-covariance sites in Chapter 2. The ability of Prelued to reproduce the estimated Gross Primary Productivity (GPP) was tested over contrasting natural vegetation types that represented a wide range of climatic and environmental conditions. The issues related to Prelued's multiplicative structure were the main topic of Chapter 3: several different MCMC-based procedures were applied within a Bayesian framework to calibrate the model, and their performances were compared. A more complex model was applied in Chapter 4, focusing on the application of the physiology-based model HYDRALL to the forest ecosystem of Lavarone (IT) to evaluate the importance of additional information in the calibration procedure and their impact on model performances, model uncertainties, and parameter estimation. Overall, the Bayesian technique proved to be an excellent and versatile tool to successfully calibrate forest models of different structure and complexity, on different kind and number of variables and with a different number of parameters involved.

The Small Project Observatory: Visualizing Software Ecosystems

Software evolution research has focused mostly on analyzing the evolution of single software systems. However, it is rarely the case that a project exists as standalone, independent of others. Rather, projects exist in parallel within larger contexts in companies, research groups or even the open-source communities. We call these contexts software ecosystems, and on this paper we present The Small Project Observatory, a prototype tool which aims to support the analysis of project ecosystems through interactive visualization and exploration. We present a case-study of exploring an ecosystem using our tool, we describe about the architecture of the tool, and we distill the lessons learned during the tool-building experience.