Conceptual and statistical modelling of environmental effects in population dynamics

Population dynamics are generally viewed as the result of intrinsic (purely density dependent) and extrinsic (environmental) processes. Both components, and potential interactions between those two, have to be modelled in order to understand and predict dynamics of natural populations; a topic that is of great importance in population management and conservation. This thesis focuses on modelling environmental effects in population dynamics and how effects of potentially relevant environmental variables can be statistically identified and quantified from time series data. Chapter I presents some useful models of multiplicative environmental effects for unstructured density dependent populations. The presented models can be written as standard multiple regression models that are easy to fit to data. Chapters II IV constitute empirical studies that statistically model environmental effects on population dynamics of several migratory bird species with different life history characteristics and migration strategies. In Chapter II, spruce cone crops are found to have a strong positive effect on the population growth of the great spotted woodpecker (Dendrocopos major), while cone crops of pine another important food resource for the species do not effectively explain population growth. The study compares rate- and ratio-dependent effects of cone availability, using state-space models that distinguish between process and observation error in the time series data. Chapter III shows how drought, in combination with settling behaviour during migration, produces asymmetric spatially synchronous patterns of population dynamics in North American ducks (genus Anas). Chapter IV investigates the dynamics of a Finnish population of skylark (Alauda arvensis), and point out effects of rainfall and habitat quality on population growth. Because the skylark time series and some of the environmental variables included show strong positive autocorrelation, the statistical significances are calculated using a Monte Carlo method, where random autocorrelated time series are generated. Chapter V is a simulation-based study, showing that ignoring observation error in analyses of population time series data can bias the estimated effects and measures of uncertainty, if the environmental variables are autocorrelated. It is concluded that the use of state-space models is an effective way to reach more accurate results. In summary, there are several biological assumptions and methodological issues that can affect the inferential outcome when estimating environmental effects from time series data, and that therefore need special attention. The functional form of the environmental effects and potential interactions between environment and population density are important to deal with. Other issues that should be considered are assumptions about density dependent regulation, modelling potential observation error, and when needed, accounting for spatial and/or temporal autocorrelation.

Interatomic potentials for fusion reactor material simulations

Fusion energy is a clean and safe solution for the intricate question of how to produce non-polluting and sustainable energy for the constantly growing population. The fusion process does not result in any harmful waste or green-house gases, since small amounts of helium is the only bi-product that is produced when using the hydrogen isotopes deuterium and tritium as fuel. Moreover, deuterium is abundant in seawater and tritium can be bred from lithium, a common metal in the Earth's crust, rendering the fuel reservoirs practically bottomless. Due to its enormous mass, the Sun has been able to utilize fusion as its main energy source ever since it was born. But here on Earth, we must find other means to achieve the same. Inertial fusion involving powerful lasers and thermonuclear fusion employing extreme temperatures are examples of successful methods. However, these have yet to produce more energy than they consume. In thermonuclear fusion, the fuel is held inside a tokamak, which is a doughnut-shaped chamber with strong magnets wrapped around it. Once the fuel is heated up, it is controlled with the help of these magnets, since the required temperatures (over 100 million degrees C) will separate the electrons from the nuclei, forming a plasma. Once the fusion reactions occur, excess binding energy is released as energetic neutrons, which are absorbed in water in order to produce steam that runs turbines. Keeping the power losses from the plasma low, thus allowing for a high number of reactions, is a challenge. Another challenge is related to the reactor materials, since the confinement of the plasma particles is not perfect, resulting in particle bombardment of the reactor walls and structures. Material erosion and activation as well as plasma contamination are expected. Adding to this, the high energy neutrons will cause radiation damage in the materials, causing, for instance, swelling and embrittlement. In this thesis, the behaviour of a material situated in a fusion reactor was studied using molecular dynamics simulations. Simulations of processes in the next generation fusion reactor ITER include the reactor materials beryllium, carbon and tungsten as well as the plasma hydrogen isotopes. This means that interaction models, {\it i.e. interatomic potentials}, for this complicated quaternary system are needed. The task of finding such potentials is nonetheless nearly at its end, since models for the beryllium-carbon-hydrogen interactions were constructed in this thesis and as a continuation of that work, a beryllium-tungsten model is under development. These potentials are combinable with the earlier tungsten-carbon-hydrogen ones. The potentials were used to explain the chemical sputtering of beryllium due to deuterium plasma exposure. During experiments, a large fraction of the sputtered beryllium atoms were observed to be released as BeD molecules, and the simulations identified the swift chemical sputtering mechanism, previously not believed to be important in metals, as the underlying mechanism. Radiation damage in the reactor structural materials vanadium, iron and iron chromium, as well as in the wall material tungsten and the mixed alloy tungsten carbide, was also studied in this thesis. Interatomic potentials for vanadium, tungsten and iron were modified to be better suited for simulating collision cascades that are formed during particle irradiation, and the potential features affecting the resulting primary damage were identified. Including the often neglected electronic effects in the simulations was also shown to have an impact on the damage. With proper tuning of the electron-phonon interaction strength, experimentally measured quantities related to ion-beam mixing in iron could be reproduced. The damage in tungsten carbide alloys showed elemental asymmetry, as the major part of the damage consisted of carbon defects. On the other hand, modelling the damage in the iron chromium alloy, essentially representing steel, showed that small additions of chromium do not noticeably affect the primary damage in iron. Since a complete assessment of the response of a material in a future full-scale fusion reactor is not achievable using only experimental techniques, molecular dynamics simulations are of vital help. This thesis has not only provided insight into complicated reactor processes and improved current methods, but also offered tools for further simulations. It is therefore an important step towards making fusion energy more than a future goal.

Trust and Collectives

"Trust and Collectives" is a compilation of articles: (I) "On Rational Trust" (in Meggle, G. (ed.) Social Facts & Collective Intentionality, Dr. Hänsel-Hohenhausen AG (currently Ontos), 2002), (II) "Simulating Rational Social Normative Trust, Predictive Trust, and Predictive Reliance Between Agents" (M.Tuomela and S. Hofmann, Ethics and Information Technology 5, 2003), (III) "A Collective's Trust in a Collective's action" (Protosociology, 18-19, 2003), and (IV) "Cooperation and Trust in Group Contexts" (R. Tuomela and M.Tuomela, Mind and Society 4/1, 2005 ). The articles are tied together by an introduction that dwells deeply on the topic of trust. (I) presents a somewhat general version of (RSNTR) and some basic arguments. (II) offers an application of (RSNTR) for a computer simulation of trust.(III) applies (RSNTR) to Raimo Tuomela's "we-mode"collectives (i.e. The Philosophy of Social Practices, Cambridge University Press, 2002). (IV) analyzes cooperation and trust in the context of acting as a member of a collective. Thus, (IV) elaborates on the topic of collective agency in (III) and puts the trust account (RSNTR) to work in a framework of cooperation. The central aim of this work is to construct a well-argued conceptual and theoretical account of rational trust, viz. a person's subjectively rational trust in another person vis-à-vis his performance of an action, seen from a first-person point of view. The main method is conceptual and theoretical analysis understood along the lines of reflective equilibrium. The account of rational social normative trust (RSNTR), which is argued and defended against other views, is the result of the quest. The introduction stands on its own legs as an argued presentation of an analysis of the concept of rational trust and an analysis of trust itself (RSNTR). It is claimed that (RSNTR) is "genuine" trust and embedded in a relationship of mutual respect for the rights of the other party. This relationship is the growing site for trust, a causal and conceptual ground, but it is not taken as a reason for trusting (viz. predictive "trust"). Relevant themes such as risk, decision, rationality, control, and cooperation are discussed and the topics of the articles are briefly presented. In this work it is argued that genuine trust is to be kept apart from predictive "trust." When we trust a person vis-à-vis his future action that concerns ourselves on the basis of his personal traits and/or features of the specific situation we have a prediction-like attitude. Genuine trust develops in a relationship of mutual respect for the mutual rights of the other party. Such a relationship is formed through interaction where the parties gradually find harmony concerning "the rules of the game." The trust account stands as a contribution to philosophical research on central social notions and it could be used as a theoretical model in social psychology, economical and political science where interaction between persons and groups are in focus. The analysis could also serve as a model for a trust component in computer simulation of human action. In the context of everyday life the account clarifies the difference between predictive "trust" and genuine trust. There are no fast shortcuts to trust. Experiences of mutual respect for mutual rights cannot be had unless there is respect.