16 resultados para Random regression models

em Helda - Digital Repository of University of Helsinki


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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.

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This thesis report attempts to improve the models for predicting forest stand structure for practical use, e.g. forest management planning (FMP) purposes in Finland. Comparisons were made between Weibull and Johnson s SB distribution and alternative regression estimation methods. Data used for preliminary studies was local but the final models were based on representative data. Models were validated mainly in terms of bias and RMSE in the main stand characteristics (e.g. volume) using independent data. The bivariate SBB distribution model was used to mimic realistic variations in tree dimensions by including within-diameter-class height variation. Using the traditional method, diameter distribution with the expected height resulted in reduced height variation, whereas the alternative bivariate method utilized the error-term of the height model. The lack of models for FMP was covered to some extent by the models for peatland and juvenile stands. The validation of these models showed that the more sophisticated regression estimation methods provided slightly improved accuracy. A flexible prediction and application for stand structure consisted of seemingly unrelated regression models for eight stand characteristics, the parameters of three optional distributions and Näslund s height curve. The cross-model covariance structure was used for linear prediction application, in which the expected values of the models were calibrated with the known stand characteristics. This provided a framework to validate the optional distributions and the optional set of stand characteristics. Height distribution is recommended for the earliest state of stands because of its continuous feature. From the mean height of about 4 m, Weibull dbh-frequency distribution is recommended in young stands if the input variables consist of arithmetic stand characteristics. In advanced stands, basal area-dbh distribution models are recommended. Näslund s height curve proved useful. Some efficient transformations of stand characteristics are introduced, e.g. the shape index, which combined the basal area, the stem number and the median diameter. Shape index enabled SB model for peatland stands to detect large variation in stand densities. This model also demonstrated reasonable behaviour for stands in mineral soils.

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Surgical treatment of lumbar spinal stenosis (LSS) is a treatment option for those patients who remain severely symptomatic after a course of conservative treatment. Majority of the patients treated surgically enjoy good-to-excellent outcomes with respect to pain alleviation and functional recovery. However, between 20% and 40% of the patients who have surgery for LSS do not benefit from it. The knowledge of the psychological factors associated with recovery and treatment outcome is still scarce. The aim of this study was to assess LSS patients selected for surgical treatment. Specifically, the study assessed the prevalence of depression (Beck Depression Inventory, BDI) before surgical treatment and three months after the treatment. Also preoperative life satisfaction (four-item Life Satisfaction scale) of the LSS patients was studied. Furthermore, the patients satisfaction with surgery outcome at the three months postoperative stage was studied. One-fifth (20%) of the LSS-patients were found to have depression preoperatively. The patients assessments of the pain intensity or location were not associated with depression. The factors that did associate with depression were subjective disability of everyday living and poor life satisfaction. In addition to this, low sense of coherence and poor life satisfaction were associated with depression in logistic regression models. Significant associations were seen between preoperative depression and postoperative high disability scores, high symptom severity scores and higher pain intensity ratings. The patients with continuous depression (60% of the patients who had preoperative depression) showed less improvement in symptom severity, disability, pain and walking capacity than the patients who did not experience depression at any stage. In those patients who recovered from depression (35% of the patients with preoperative depression), the postoperative improvement was rather similar to the improvement seen in the normal mood group. One-fourth (25%) of the preoperative patients with LSS were found to be dissatisfied with life. The dissatisfied patients were significantly younger and had more self-reported somatic comorbidity. The dissatisfied patients had also elevated subjective disability scores and more extensive pain locations. Also lower coping resources and higher BDI scores were associated with life dissatisfaction. Younger age and somatic comorbidity were associated with life dissatisfaction in regression models. Two-thirds (66%) of the patients were at least clearly satisfied with the surgery outcome at three months postoperative stage. In group comparisons, the lack of physical, functional and emotional well-being was associated with the patients dissatisfaction with the surgery outcome. Younger age, postoperative symptom severity, disability and depression were independently associated with dissatisfaction with the surgery outcome. The results show that depression and psychological well-being are important factors with respect to LSS patients functional ability and recovery both before and three months after surgical treatment. Therefore, the clinical practice recommendations should include an assessment of depression

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The general change in the population structure and its impacts on the forest ownership structure were investigated in the thesis. The research assumed that the structural change in society has an effect on the outlook of the non-industrial private forest ownership. The changes in the structure of society were mainly restricted to population, education and occupation structures. The migration of the rural population into cities was also taken into consideration. The structural changes both in society and the non-industrial private forest ownership were examined as phenomena and their development directions were investigated since the middle of the 1970s. It could be established that the changes in the structures were mainly of the same kind in society as in forest owner structure. The clearest similarities between the changes in population and forest owner structure could be found in an increased mean age, a decrease in the 18 to 39 age bracket, those without a degree and in the farmers' shares. Furthermore it could be stated that migration into cities had taken place among both the forest owners and the general population. The main part of the research was concentrated on estimating regression models that explain the non-industrial private forest ownership change by the structural change in the population. A panel data was gathered from population statistics and previous forest ownership research information. The panel contained the years 1990 and 1999. With the assistance of the panel data it was possible to estimate regression and fixed effects' models that explained the structural changes in the non-industrial private forest ownership by evolution in the whole population. In the use of the estimated models authorities' forecasts considering the population were exploited. Only a few of the estimated models were statistically significant. This could be explained due to lack of a larger panel data. In addition the structural change of the non-industrial forest ownership was forecasted by trends.

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The use of remote sensing imagery as auxiliary data in forest inventory is based on the correlation between features extracted from the images and the ground truth. The bidirectional reflectance and radial displacement cause variation in image features located in different segments of the image but forest characteristics remaining the same. The variation has so far been diminished by different radiometric corrections. In this study the use of sun azimuth based converted image co-ordinates was examined to supplement auxiliary data extracted from digitised aerial photographs. The method was considered as an alternative for radiometric corrections. Additionally, the usefulness of multi-image interpretation of digitised aerial photographs in regression estimation of forest characteristics was studied. The state owned study area located in Leivonmäki, Central Finland and the study material consisted of five digitised and ortho-rectified colour-infrared (CIR) aerial photographs and field measurements of 388 plots, out of which 194 were relascope (Bitterlich) plots and 194 were concentric circular plots. Both the image data and the field measurements were from the year 1999. When examining the effect of the location of the image point on pixel values and texture features of Finnish forest plots in digitised CIR photographs the clearest differences were found between front-and back-lighted image halves. Inside the image half the differences between different blocks were clearly bigger on the front-lighted half than on the back-lighted half. The strength of the phenomenon varied by forest category. The differences between pixel values extracted from different image blocks were greatest in developed and mature stands and smallest in young stands. The differences between texture features were greatest in developing stands and smallest in young and mature stands. The logarithm of timber volume per hectare and the angular transformation of the proportion of broadleaved trees of the total volume were used as dependent variables in regression models. Five different converted image co-ordinates based trend surfaces were used in models in order to diminish the effect of the bidirectional reflectance. The reference model of total volume, in which the location of the image point had been ignored, resulted in RMSE of 1,268 calculated from test material. The best of the trend surfaces was the complete third order surface, which resulted in RMSE of 1,107. The reference model of the proportion of broadleaved trees resulted in RMSE of 0,4292 and the second order trend surface was the best, resulting in RMSE of 0,4270. The trend surface method is applicable, but it has to be applied by forest category and by variable. The usefulness of multi-image interpretation of digitised aerial photographs was studied by building comparable regression models using either the front-lighted image features, back-lighted image features or both. The two-image model turned out to be slightly better than the one-image models in total volume estimation. The best one-image model resulted in RMSE of 1,098 and the two-image model resulted in RMSE of 1,090. The homologous features did not improve the models of the proportion of broadleaved trees. The overall result gives motivation for further research of multi-image interpretation. The focus may be improving regression estimation and feature selection or examination of stratification used in two-phase sampling inventory techniques. Keywords: forest inventory, digitised aerial photograph, bidirectional reflectance, converted image co­ordinates, regression estimation, multi-image interpretation, pixel value, texture, trend surface

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This research discusses decoupling CAP (Common Agricultural Policy) support and impacts which may occur on grain cultivation area and supply of beef and pork in Finland. The study presents the definitions and studies on decoupled agricultural subsidies, the development of supply of grain, beef and pork in Finland and changes in leading factors affecting supply between 1970 and 2005. Decoupling agricultural subsidies means that the linkage between subsidies and production levels is disconnected; subsidies do not affect the amount produced. The hypothesis is that decoupling will decrease the amounts produced in agriculture substantially. In the supply research, the econometric models which represent supply of agricultural products are estimated based on the data of prices and amounts produced. With estimated supply models, the impacts of changes in prices and public policies, can be forecasted according to supply of agricultural products. In this study, three regression models describing combined cultivation areas of rye, wheat, oats and barley, and the supply of beef and pork are estimated. Grain cultivation area and supply of beef are estimated based on data from 1970 to 2005 and supply of pork on data from 1995 to 2005. The dependencies in the model are postulated to be linear. The explanatory variables in the grain model were average return per hectare, agricultural subsidies, grain cultivation area in the previous year and the cost of fertilization. The explanatory variables in the beef model were the total return from markets and subsidies and the amount of beef production in the previous year. In the pork model the explanatory variables were the total return, the price of piglet, investment subsidies, trend of increasing productivity and the dummy variable of the last quarter of the year. The R-squared of model of grain cultivation area was 0,81, the model of beef supply 0,77 and the model of pork supply 0,82. Development of grain cultivation area and supply of beef and pork was estimated for 2006 - 2013 with this regression model. In the basic scenario, development of explanatory variables in 2006 - 2013 was postulated to be the same as they used to be in average in 1995 - 2005. After the basic scenario the impacts of decoupling CAP subsidies and domestic subsidies on cultivation area and supply were simulated. According to the results of the decoupling CAP subsidies scenario, grain cultivation area decreases from 1,12 million hectares in 2005 to 1,0 million hectares in 2013 and supply of beef from 88,8 million kilos in 2005 to 67,7 million kilos in 2013. Decoupling domestic and investment subsidies will decrease the supply of pork from 194 million kilos in 2005 to 187 million kilos in 2006. By 2013 the supply of pork grows into 203 million kilos.

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In this Thesis, we develop theory and methods for computational data analysis. The problems in data analysis are approached from three perspectives: statistical learning theory, the Bayesian framework, and the information-theoretic minimum description length (MDL) principle. Contributions in statistical learning theory address the possibility of generalization to unseen cases, and regression analysis with partially observed data with an application to mobile device positioning. In the second part of the Thesis, we discuss so called Bayesian network classifiers, and show that they are closely related to logistic regression models. In the final part, we apply the MDL principle to tracing the history of old manuscripts, and to noise reduction in digital signals.

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The tackling of coastal eutrophication requires water protection measures based on status assessments of water quality. The main purpose of this thesis was to evaluate whether it is possible both scientifically and within the terms of the European Union Water Framework Directive (WFD) to assess the status of coastal marine waters reliably by using phytoplankton biomass (ww) and chlorophyll a (Chl) as indicators of eutrophication in Finnish coastal waters. Empirical approaches were used to study whether the criteria, established for determining an indicator, are fulfilled. The first criterion (i) was that an indicator should respond to anthropogenic stresses in a predictable manner and has low variability in its response. Summertime Chl could be predicted accurately by nutrient concentrations, but not from the external annual loads alone, because of the rapid affect of primary production and sedimentation close to the loading sources in summer. The most accurate predictions were achieved in the Archipelago Sea, where total phosphorus (TP) and total nitrogen (TN) alone accounted for 87% and 78% of the variation in Chl, respectively. In river estuaries, the TP mass-balance regression model predicted Chl most accurately when nutrients originated from point-sources, whereas land-use regression models were most accurate in cases when nutrients originated mainly from diffuse sources. The inclusion of morphometry (e.g. mean depth) into nutrient models improved accuracy of the predictions. The second criterion (ii) was associated with the WFD. It requires that an indicator should have type-specific reference conditions, which are defined as "conditions where the values of the biological quality elements are at high ecological status". In establishing reference conditions, the empirical approach could only be used in the outer coastal water types, where historical observations of Secchi depth of the early 1900s are available. The most accurate prediction was achieved in the Quark. In the inner coastal water types, reference Chl, estimated from present monitoring data, are imprecise - not only because of the less accurate estimation method but also because the intrinsic characteristics, described for instance by morphometry, vary considerably inside these extensive inner coastal types. As for phytoplankton biomass, the reference values were less accurate than in the case of Chl, because it was possible to estimate reference conditions for biomass only by using the reconstructed Chl values, not the historical Secchi observations. An paleoecological approach was also applied to estimate annual average reference conditions for Chl. In Laajalahti, an urban embayment off Helsinki, strongly loaded by municipal waste waters in the 1960s and 1970s, reference conditions prevailed in the mid- and late 1800s. The recovery of the bay from pollution has been delayed as a consequence of benthic release of nutrients. Laajalahti will probably not achieve the good quality objectives of the WFD on time.    The third criterion (iii) was associated with coastal management including the resources it has available. Analyses of Chl are cheap and fast to carry out compared to the analyses of phytoplankton biomass and species composition; the fact which has an effect on number of samples to be taken and thereby on the reliability of assessments. However, analyses on phytoplankton biomass and species composition provide more metrics for ecological classification, the metrics which reveal various aspects of eutrophication contrary to what Chl alone does.

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Uveal melanoma is the most common primary intraocular malignancy in adults. Vision in the affected eye is threatened by both the tumor and side-effects from the treatments currently available. Poor prognosis for saving vision increases with tumor size and, consequently, enucleation has been the treatment of choice for large uveal melanomas in most centers. However, increasing evidence suggests that no survival benefit is gained (nor lost) by enucleation as compared to eye-conserving methods. The Helsinki University Eye Hospital has since 1990 offered episcleral iodine-125 plaque brachytherapy (IBT) for all patients unwilling to undergo enucleation for a large uveal melanoma. The primary aim of this study was to assess survival, local tumor recurrence and preservation of the eye and vision after IBT in a population-based series of 97 patients with uveal melanomas classified as large by the Collaborative Ocular Melanoma Study (COMS) criteria. Further aims included reporting the incidence of side-effects and assessing the role of intraocular dose distribution and clinical risk factors in their development. Finally, means to improve the current treatment were investigated by using computer models to compare existing plaques with collimating ones and by comparing the outcome of a subgroup of 54 IBT patients with very thick tumors with 33 patients with similarly-sized tumors managed with transscleral local resection (TSR) in Liverpool, United Kingdom. Kaplan-Meier estimates of all-cause and melanoma-specific survival at 5 years after IBT were 62% and 65%, respectively, and visually comparable with the survival experience of patients reported after enucleation by the COMS. Local recurrence developed in 6% of eyes and 84% of eyes were conserved at 5 years. Visual prognosis was guarded with 11% avoiding loss of 20/70 vision and 26% avoiding loss of 20/400 vision in the tumor eye at 2 years. Large tumor height and short distance from the posterior pole were independently associated with loss of vision. Using cumulative incidence analysis to account for competing risks, such as enucleation and metastatic death, the 5-year incidence of cataract after IBT was 79%, glaucoma 60%, optic neuropathy 46%, maculopathy 52%, persistent or recurring retinal detachment (RD) 25%, and vitreous hemorrhage 36%. In multivariate competing risks regression models, increasing tumor height was associated with cataract, iris neovascularization and RD. Maculopathy and optic neuropathy were associated with distance from the tumor to the respective structure. Median doses to the tumor apex, macula and optic disc were 81 Gy (range, 40-158), 79 Gy (range, 12-632), and 83 Gy (range, 10-377), respectively. Dose to the optic disc was independently associated with optic neuropathy, and both dose to the optic disc and dose to the macula predicted vision loss after IBT. Simulated treatment using collimating plaques resulted in clinically meaningful reduction in both optic disc (median reduction, 30 Gy) and macular (median reduction, 36 Gy) doses as compared to the actual treatment with standard plaques. In the subgroup of patients with uveal melanomas classified as large because of tumor height, cumulative incidence analysis revealed that while long-term preservation of 20/70 vision was rare after both IBT and TSR, preservation of 20/400 vision was better after TSR (32% vs. 5% at 5 years). In multivariate logistic regression models, TSR was independently associated with better preservation of 20/400 vision (OR 0.03 at 2 years, P=0.005) No cases of secondary glaucoma were observed after TSR and optic neuropathy was rare. However, local tumor recurrence was more common after TSR than it was after IBT (Cumulative incidence 41% vs. 7% at 5 years, respectively). In terms of survival, IBT seems to be a safe alternative to enucleation in managing large uveal melanomas. Local tumor control is no worse than with medium-sized tumors and the chances of avoiding secondary enucleation are good. Unfortunately, side-effects from radiotherapy are frequent, especially in thick tumors, and long-term prognosis of saving vision is consequently guarded. Some complications can be limited by using collimating plaques and by managing uveal melanomas that are large because of tumor height with TSR instead of IBT. However, the patient must be willing to accept a substantial risk of local tumor recurrence after TSR and it is best suited for cases in which the preservation of vision in the tumor eye is critical.

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In Finland, the suicide mortality trend has been decreasing during the last decade and a half, yet suicide was the fourth most common cause of death among both Finnish men and women aged 15 64 years in 2006. However, suicide does not occur equally among population sub-groups. Two notable social factors that position people at different risk of suicide are socioeconomic and employment status: those with low education, employed in manual occupations, having low income and those who are unemployed have been found to have an elevated suicide risk. The purpose of this study was to provide a systematic analysis of these social differences in suicide mortality in Finland. Besides studying socioeconomic trends and differences in suicide according to age and sex, different indicators for socioeconomic status were used simultaneously, taking account of their pathways and mutual associations while also paying attention to confounding and mediatory effects of living arrangements and employment status. Register data obtained from Statistics Finland were used in this study. In some analyses suicides were divided into two groups according to contributory causes of death: the first group consisted of suicide deaths that had alcohol intoxication as one of the contributory causes, and the other group is comprised of all other suicide deaths. Methods included Poisson and Cox regression models. Despite the decrease in suicide mortality trend, social differences still exist. Low occupation-based social class proved to be an important determinant of suicide risk among both men and women, but the strong independent effect of education on alcohol-associated suicide indicates that the roots of these differences are probably established in early adulthood when educational qualifications are obtained and health-behavioural patterns set. High relative suicide mortality among the unemployed during times of economic boom suggests that selective processes may be responsible for some of the employment status differences in suicide. However, long-term unemployment seems to have causal effects on suicide, which, especially among men, partly stem from low income. In conclusion, the results in this study suggest that education, occupation-based social class and employment status have causal effects on suicide risk, but to some extent selection into low education and unemployment are also involved in the explanations for excess suicide mortality among the socially deprived. It is also conceivable that alcohol use is to some extent behind social differences in suicide. In addition to those with low education, manual workers and the unemployed, young people, whose health-related behaviour is still to be adopted, would most probably benefit from suicide prevention programmes.

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Background: Antioxidants might protect against oxidative stress, which has been suggested as a cause of aging. Methods: The ATBC Study recruited males aged 50-69 years who smoked at least 5 cigarettes per day at the baseline. The current study was restricted to participants who were followed up past the age of 65. Deaths were identified in the National Death Registry (1445 deaths). We constructed Kaplan-Meier survival curves for all participants, and for four subgroups defined by dietary vitamin C intake and level of smoking. We also constructed Cox regression models allowing a different vitamin E effect for low and high age ranges. Results: Among all 10,837 participants, vitamin E had no effect on those who were 65 to 70 years old, but reduced mortality by 24% when participants were 71 or older. Among 2284 men with dietary vitamin C intakes above the median who smoked less than a pack of cigarettes per day, vitamin E extended life-span by two years at the upper limit of the follow-up age span. In this subgroup, the survival curves of vitamin E and no-vitamin E participants diverged at 71 years. In the other three subgroups covering 80% of the participants, vitamin E did not affect mortality. Conclusions: This is the first study to strongly indicate that protection against oxidative stress can increase the life expectancy of some initially healthy population groups. Nevertheless, the lack of effect in 80% of this male cohort shows that vitamin E is no panacea for extending life expectancy.

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Tämän tutkimuksen tavoitteena oli selvittää tilalla määritetyn hyvinvoinnin yhteyttä emakoiden tuotantotuloksiin. Hyvinvointia arvioitiin suomalaisen hyvinvointi-indeksin, A-indeksi, avulla. Tuotantotuloksina käytettiin kahta erilaista tuotosaineistoa, jotka molemmat pohjautuivat kansalliseen tuotosseuranta aineistoon. Hyvinvointimääritykset tehtiin 30 porsastuotantosikalassa maaliskuun 2007 aikana. A-indeksi koostuu kuudesta kategoriasta ’liikkumismahdollisuudet’, ’alustan ominaisuudet’, ’sosiaaliset kontaktit’, ’valo, ilma ja melu’, ’ruokinta ja veden saanti’ sekä ’eläinten terveys ja hoidon taso’. Jokaisessa kategoriassa on 3-10 pääosin ympäristöperäistä muuttujaa, jotka vaihtelevat osastoittain. Maksimipistemäärä osastolle on 100. Hyvinvointimittaukset tehtiin porsitus-, tiineytys- ja joutilasosastoilla. Erillisten tiineytysosastojen pienen lukumäärän takia (n=7) tilakohtaiset tiineytys- ja joutilasosastopisteet yhdistettiin ja keskiarvoja käytettiin analyyseissä. Yhteyksiä tuotokseen tutkittiin kahden eri aineiston avulla 1) Tilaraportti aineisto (n=29) muodostuu muokkaamattomista tila- ja tuotostuloksista tilavierailua edeltävän vuoden ajalta, 2) POTSIaineisto (n=30) muodostuu POTSI-ohjelmalla (MTT) muokatusta tuotantoaineistosta, joka sisältää managementtiryhmän (tila, vuosi, vuodenaika) vaikutuksen ensikoiden ja emakoiden pahnuekohtaiseen tuotokseen. Yhteyksiä analysointiin korrelaatio- ja regressioanalyysien avulla. Vaikka osallistuminen tutkimukseen oli vapaaehtoista, molempien tuotantoaineistojen perusteella tutkimustilat edustavat keskituottoista suomalaista sikatilaa. A-indeksin kokonaispisteet vaihtelivat välillä 37,5–64,0 porsitusosastolla ja 39,5–83,5 joutilasosastolla. Tilaraporttiaineistoa käytettäessä paremmat pisteet porsitusosaston ’eläinten terveys ja hoidon taso’ -kategoriasta lyhensivät eläinten lisääntymissykliä, lisäsivät syntyvien pahnueiden ja porsaiden määrää sekä alensivat kuolleena syntyneiden lukumäärää. Regressiomallin mukaan ’eläinten terveys ja hoidon taso’ -kategoria selitti syntyvien porsaiden lukumäärän, porsimisvälin pituuden sekä keskiporsimiskerran vaihtelua. Paremmat pisteet joutilasosaston ’liikkumismahdollisuudet’ kategoriasta alensivat syntyneiden pahnueiden sekä syntyneiden että vieroitettujen porsaiden lukumäärää. Regressiomallin mukaan ensikkopahnueiden osuus ja ”liikkumismahdollisuudet” kategorian pisteet selittivät vieroitettujen porsaiden lukumäärän vaihtelua. POTSI-aineiston yhteydessä kuolleena syntyneiden porsaiden lukumäärän aleneminen oli ensikoilla yhteydessä parempiin porsitusosaston ’sosiaalisiin kontakteihin’ ja emakoilla puolestaan joutilasosaston parempiin ’eläinten terveys ja hoidon taso’ pisteisiin. Kahden eri tuotantoaineiston avulla saadut tulokset erosivat toisistaan. Seuraavissa tutkimuksissa onkin suositeltavampaa käyttää Tilaraporttiaineistoja, joissa tuotokset ilmoitetaan vuosikohtaisina. Tämän tutkimuksen perusteella hyvinvoinnilla ja tuotoksella on yhteyksiä, joilla on myös merkittävää taloudellista vaikutusta. Erityisesti hyvä eläinten hoito ja eläinten terveys lisäävät tuotettujen porsaiden määrää ja lyhentävät lisääntymiskiertoa. Erityishuomiota tulee kiinnittää vapaana olevien joutilaiden emakoiden sosiaaliseen stressiin ja rehunsaannin varmistamiseen kaikille yksilöille.

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Tutkielman tavoitteena on selvittää suomalaisen alkuperäiskarjan lihan potentiaalista kysyntää. Alkuperäiskarjan lihan erikoistuotemarkkinat voivat auttaa pitämään uhanalaiset, kotimaiset karjarodut tuotantokäytössä. Näin ollen erikoistuotemarkkinat voivat auttaa arvokkaiden suomalaisten eläingeenivarojen säilyttämisessä. Koska alkuperäiskarjan lihan tuotannon kannattavuus riippuu lihasta saatavasta lisähinnasta, tutkimuksen tavoitteena on myös tutkia, millainen kuluttajien maksuhalukkuus alkuperäiskarjan lihasta on verrattuna tavanomaiseen lihaan. Tutkimusaineisto kerättiin Maa- ja elintarviketalouden tutkimuskeskuksen ja Kuluttajatutkimuskeskuksen suunnittelemalla kyselytutkimuksella keväällä 2010. Tutkimuksessa käytettiin ehdollisen käyttäytymisen ja ehdollisen arvottamisen menetelmiä ja sen otoskoko on 1623. Kuluttajien ostohalukkuutta ja siihen vaikuttavia tekijöitä tutkittiin sekä binäärisen että ordinaalisen regression malleilla. Kuluttajien maksuhalukkuutta alkuperäiskarjan lihasta ja siihen vaikuttavia tekijöitä tutkittiin grouped data -mallin avulla. Malleissa käytettiin selittävinä muuttujina sosioekonomisten muuttujien lisäksi kuluttajien asenteita ja käyttäytymistä kuvaavia muuttujia. Tutkielman tulosten mukaan jopa 86 % vastaajista ostaisi alkuperäiskarjan lihaa, jos sitä olisi tarjolla kaupoissa. Ostohalukkuutta lisää muun muassa, jos vastaajalla on alle 18-vuotiaita lapsia ja vastaaja arvostaa lähellä tuotettua, paikallista ruokaa sekä ympäristöystävällisyyttä. Miehet ostaisivat alkuperäiskarjan lihaa todennäköisemmin kuin naiset. Suurin osa vastaajista ostaisi alkuperäiskarjan lihaa, jos se olisi samanhintaista kuin tavanomainen liha, mutta noin neljäsosa (23,5 %) vastaajista olisi valmis maksamaan alkuperäiskarjan lihasta korkeampaa hintaa kuin tavanomaisesta lihasta. Maksuhalukkuuteen vaikuttivat positiivisesti muun muassa kuuluminen ympäristöjärjestöön ja korkea tulotaso. Negatiivisesti vaikutti puolestaan esimerkiksi se, että vastaaja on nainen. Keskimääräinen maksuhalukkuus alkuperäiskarjan lihasta oli 6,25 % korkeampi kuin tavanomaisesta lihasta. Maksuhalukkuus alkuperäiskarjan lihasta oli selvästi yhteydessä siihen, kuinka usein vastaaja olisi halukas ostamaan sitä. Maksuhalukkuus oli korkein niillä vastaajilla, jotka haluaisivat ostaa lihaa säännöllisesti.

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Tutkimuksessa tarkastellaan äänestäjien talouskäsitysten vaikutusta hallituksen suosioon Puolassa vuosina 2006 ja 2007. Tutkimusasetelma juontaa juurensa poliittisten suhdannevaihteluiden teoriaan, jonka mukaan poliitikot pyrkivät manipuloimaan taloutta vaalien alla tullakseen uudelleen valituiksi. Vastuullisuushypoteesin mukaan äänestäjät palkitsevat poliitikot hyvästä taloustilanteesta. Näin ollen mikäli äänestäjät ovat tyytyväisiä talouteen he äänestävät hallitusta. Mikäli eivät, he äänestävät oppositiota. Miten äänestäjät sitten tekevät arvionsa taloudesta? Tutkielmassa selvitetään vaikuttiko äänestäjien mielipiteisiin käsitys nykyisestä vai tulevaisuuden taloustilanteesta. Käsitys nykyisestä taloustilanteesta perustuu havaintoihin jo toteutuneesta talouspolitiikasta. Tätä käsitystä kutsutaan retrospektiiviseksi näkemykseksi. Prospektiiviset talousnäkemykset koostuvat näkemyksestä ja odotuksista talouden tulevasta tilasta ja uskosta hallituksen kykyyn tarjota paras vaihtoehto suotuisalle talouskehitykselle. Aikaulottuvuuden lisäksi tutkielmassa testataan, vaikuttaako äänestäjiin enemmän heidän oma taloustilanteensa vai näkemys yleisestä talouden tilanteesta. Mikäli hallituksen suosio perustuu näkemyksiin henkilökohtaisen talouden tilasta, ovat äänestäjät egotrooppisia. Mikäli kannatuspäätös perustuu näkemykseen kansantalouden tilasta, ovat äänestäjät puolestaan sosiotrooppisia. Aineistona tutkielmassa käytetään uusinta saatavilla olevaa Puolan mielipidetiedustelun (Centrum Badania Opinii Publicznej) keräämää kyselyaineistoa vuosilta 2006 ja 2007. Tutkielmassa on yhdistetty kyselyaineistot 22:n kuukauden ajalta. Aineistoa on analysoitu logistisen regressioanalyysin menetelmin. Tutkielman perusteella talousnäkemyksistä suurin vaikutus hallituksen suosioon on äänestäjien näkemyksillä kansantalouden tulevaisuuden tilasta. Henkilökohtaisen talouden osalta positiiviset tulevaisuudennäkymät vaikuttavat positiivisesti myös hallituksen kannatukseen. Retrospektiivinen arvio henkilökohtaisesta taloudesta toimii kuitenkin teorian vastaisesti; oman taloudellisen tilanteen hyväksi arvioineiden todennäköisyys kannatta hallitusta oli pienempää kuin niillä, jotka arvioivat oman taloustilanteensa huonoksi. Kontrollimuuttujiksi valittiin joukko aiemmassa tutkimuksessa äänestyskäyttäytymiseen Puolassa vaikuttaneita tekijöitä. Näitä olivat ikä, sukupuoli, koulutus, asuinpaikka, näkemys työllisyystilanteesta, ideologinen sijoittuminen oikeisto–vasemmisto-akselilla sekä uskonnollisuus. Kontrollimuuttujista merkitseviksi osoittautuivat uskonnollisuus, oikeisto–vasemmisto-ideologia, koulutus, asuinpaikka sekä ikä. Kun edellä mainitut taustamuuttujat on kontrolloitu, taloustekijät selittävät noin viidesosan hallituksen kannatuksen todennäköisyyden vaihtelusta.

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Vegetation maps and bioclimatic zone classifications communicate the vegetation of an area and are used to explain how the environment regulates the occurrence of plants on large scales. Many practises and methods for dividing the world’s vegetation into smaller entities have been presented. Climatic parameters, floristic characteristics, or edaphic features have been relied upon as decisive factors, and plant species have been used as indicators for vegetation types or zones. Systems depicting vegetation patterns that mainly reflect climatic variation are termed ‘bioclimatic’ vegetation maps. Based on these it has been judged logical to deduce that plants moved between corresponding bioclimatic areas should thrive in the target location, whereas plants moved from a different zone should languish. This principle is routinely applied in forestry and horticulture but actual tests of the validity of bioclimatic maps in this sense seem scanty. In this study I tested the Finnish bioclimatic vegetation zone system (BZS). Relying on the plant collection of Helsinki University Botanic Garden’s Kumpula collection, which according to the BZS is situated at the northern limit of the hemiboreal zone, I aimed to test how the plants’ survival depends on their provenance. My expectation was that plants from the hemiboreal or southern boreal zones should do best in Kumpula, whereas plants from more southern and more northern zones should show progressively lower survival probabilities. I estimated probability of survival using collection database information of plant accessions of known wild origin grown in Kumpula since the mid 1990s, and logistic regression models. The total number of accessions I included in the analyses was 494. Because of problems with some accessions I chose to separately analyse a subset of the complete data, which included 379 accessions. I also analysed different growth forms separately in order to identify differences in probability of survival due to different life strategies. In most analyses accessions of temperate and hemiarctic origin showed lower survival probability than those originating from any of the boreal subzones, which among them exhibited rather evenly high probabilities. Exceptionally mild and wet winters during the study period may have killed off hemiarctic plants. Some winters may have been too harsh for temperate accessions. Trees behaved differently: they showed an almost steadily increasing survival probability from temperate to northern boreal origins. Various factors that could not be controlled for may have affected the results, some of which were difficult to interpret. This was the case in particular with herbs, for which the reliability of the analysis suffered because of difficulties in managing their curatorial data. In all, the results gave some support to the BZS, and especially its hierarchical zonation. However, I question the validity of the formulation of the hypothesis I tested since it may not be entirely justified by the BZS, which was designed for intercontinental comparison of vegetation zones, but not specifically for transcontinental provenance trials. I conclude that botanic gardens should pay due attention to information management and curational practices to ensure the widest possible applicability of their plant collections.