Quality Assessment of a Forest Inventory Based on Airborne Laser Scanning

In this study, a quality assessment method based on sampling of primary laser inventory units (microsegments) was analysed. The accuracy of a laser inventory carried out in Kuhmo was analysed as a case study. Field sample plots were measured on the sampled microsegments in the Kuhmo inventory area. Two main questions were considered. Did the ALS based inventory meet the accuracy requirements set for the provider and how should a reliable, cost-efficient and independent quality assessment be undertaken. The agreement between control measurement and ALS based inventory was analysed in four ways: 1) The root mean squared errors (RMSEs) and bias were calculated. 2) Scatter plots with 95% confidence intervals were plotted and the placing of identity lines was checked. 3) Bland-Altman plots were drawn so that the mean difference of attributes between the control method and ALS-method was calculated and plotted against average value of attributes. 4) The tolerance limits were defined and combined with Bland-Altman plots. The RMSE values were compared to a reference study from which the accuracy requirements had been set to the service provider. The accuracy requirements in Kuhmo were achieved, however comparison of RMSE values proved to be difficult. Field control measurements are costly and time-consuming, but they are considered to be robust. However, control measurements might include errors, which are difficult to take into account. Using the Bland-Altman plots none of the compared methods are considered to be completely exact, so this offers a fair way to interpret results of assessment. The tolerance limits to be set on order combined with Bland-Altman plots were suggested to be taken in practise. In addition, bias should be calculated for total area. Some other approaches for quality control were briefly examined. No method was found to fulfil all the required demands of statistical reliability, cost-efficiency, time efficiency, simplicity and speed of implementation. Some benefits and shortcomings of the studied methods were discussed.

Forest inventory-based large-scale forest biomass and carbon budget assessment: new enhanced methods and use of remote sensing for verification

In recent years, concern has arisen over the effects of increasing carbon dioxide (CO2) in the earth's atmosphere due to the burning of fossil fuels. One way to mitigate increase in atmospheric CO2 concentration and climate change is carbon sequestration to forest vegeta-tion through photosynthesis. Comparable regional scale estimates for the carbon balance of forests are therefore needed for scientific and political purposes. The aim of the present dissertation was to improve methods for quantifying and verifying inventory-based carbon pool estimates of the boreal forests in the mineral soils. Ongoing forest inventories provide a data based on statistically sounded sampling for estimating the level of carbon stocks and stock changes, but improved modelling tools and comparison of methods are still needed. In this dissertation, the entire inventory-based large-scale forest carbon stock assessment method was presented together with some separate methods for enhancing and comparing it. The enhancement methods presented here include ways to quantify the biomass of understorey vegetation as well as to estimate the litter production of needles and branches. In addition, the optical remote sensing method illustrated in this dis-sertation can be used to compare with independent data. The forest inventory-based large-scale carbon stock assessment method demonstrated here provided reliable carbon estimates when compared with independent data. Future ac-tivity to improve the accuracy of this method could consist of reducing the uncertainties regarding belowground biomass and litter production as well as the soil compartment. The methods developed will serve the needs for UNFCCC reporting and the reporting under the Kyoto Protocol. This method is principally intended for analysts or planners interested in quantifying carbon over extensive forest areas.

Markov random fields and spatial smoothing in improving of forest inventory estimates

Markov random fields (MRF) are popular in image processing applications to describe spatial dependencies between image units. Here, we take a look at the theory and the models of MRFs with an application to improve forest inventory estimates. Typically, autocorrelation between study units is a nuisance in statistical inference, but we take an advantage of the dependencies to smooth noisy measurements by borrowing information from the neighbouring units. We build a stochastic spatial model, which we estimate with a Markov chain Monte Carlo simulation method. The smooth values are validated against another data set increasing our confidence that the estimates are more accurate than the originals.

Inventory Routing - A Strategic Management Accounting Perspective

This dissertation develops a strategic management accounting perspective of inventory routing. The thesis studies the drivers of cost efficiency gains by identifying the role of the underlying cost structure, demand, information sharing, forecasting accuracy, service levels, vehicle fleet, planning horizon and other strategic factors as well as the interaction effects among these factors with respect to performance outcomes. The task is to enhance the knowledge of the strategic situations that favor the implementation of inventory routing systems, understanding cause-and-effect relationships, linkages and gaining a holistic view of the value proposition of inventory routing. The thesis applies an exploratory case study design, which is based on normative quantitative empirical research using optimization, simulation and factor analysis. Data and results are drawn from a real world application to cash supply chains. The first research paper shows that performance gains require a common cost component and cannot be explained by simple linear or affine cost structures. Inventory management and distribution decisions become separable in the absence of a set-dependent cost structure, and neither economies of scope nor coordination problems are present in this case. The second research paper analyzes whether information sharing improves the overall forecasting accuracy. Analysis suggests that the potential for information sharing is limited to coordination of replenishments and that central information do not yield more accurate forecasts based on joint forecasting. The third research paper develops a novel formulation of the stochastic inventory routing model that accounts for minimal service levels and forecasting accuracy. The developed model allows studying the interaction of minimal service levels and forecasting accuracy with the underlying cost structure in inventory routing. Interestingly, results show that the factors minimal service level and forecasting accuracy are not statistically significant, and subsequently not relevant for the strategic decision problem to introduce inventory routing, or in other words, to effectively internalize inventory management and distribution decisions at the supplier. Consequently the main contribution of this thesis is the result that cost benefits of inventory routing are derived from the joint decision model that accounts for the underlying set-dependent cost structure rather than the level of information sharing. This result suggests that the value of information sharing of demand and inventory data is likely to be overstated in prior literature. In other words, cost benefits of inventory routing are primarily determined by the cost structure (i.e. level of fixed costs and transportation costs) rather than the level of information sharing, joint forecasting, forecasting accuracy or service levels.

Estimation of cutting volume with three inventory methods for harvest planning in Canadian boreal forests.

Two methods of pre-harvest inventory were designed and tested on three cutting sites containing a total of 197 500 m3 of wood. These sites were located on flat-ground boreal forests located in northwestern Quebec. Both methods studied involved scaling of trees harvested to clear the road path one year (or more) prior to harvest of adjacent cut-blocks. The first method (ROAD) considers the total road right-of-way volume divided by the total road area cleared. The resulting volume per hectare is then multiplied by the total cut-block area scheduled for harvest during the following year to obtain the total estimated cutting volume. The second method (STRATIFIED) also involves scaling of trees cleared from the road. However, in STRATIFIED, log scaling data are stratified by forest stand location. A volume per hectare is calculated for each stretch of road that crosses a single forest stand. This volume per hectare is then multiplied by the remaining area of the same forest stand scheduled for harvest one year later. The sum of all resulting estimated volumes per stand gives the total estimated cutting-volume for all cut-blocks adjacent to the studied road. A third method (MNR) was also used to estimate cut-volumes of the sites studied. This method represents the actual existing technique for estimating cutting volume in the province of Quebec. It involves summing the cut volume for all forest stands. The cut volume is estimated by multiplying the area of each stand by its estimated volume per hectare obtained from standard stock tables provided by the governement. The resulting total estimated volume per cut-block for all three methods was then compared with the actual measured cut-block volume (MEASURED). This analysis revealed a significant difference between MEASURED and MNR methods with the MNR volume estimate being 30 % higher than MEASURED. However, no significant difference from MEASURED was observed for volume estimates for the ROAD and STRATIFIED methods which respectively had estimated cutting volumes 19 % and 5 % lower than MEASURED. Thus the ROAD and STRATIFIED methods are good ways to estimate cut-block volumes after road right-of-way harvest for conditions similar to those examined in this study.

Konstruktioiden dynamiikkaa

Dynamic constructions Dynamic constructions is a study of the dynamism of Finnish grammar. Dynamism as a linguistic phenomenon is studied on both the diachronic and synchronic level. The study therefore focuses not only on the temporal changes of grammar but also on the conventionality of grammatical structures and on the interplay between closely related constructions. Dynamism is also treated as a phenomenon occurring between different varieties of Finnish. All in all, dynamism is shown to be a key feature of the nature of grammar. The study is set within the framework of cognitive linguistics and construction grammar. Both theories emphasise the role of constructions pairings of form with semantic or discourse function in the composition and development of grammar. The grammar of a language is understood to be a structured inventory of such constructions. I argue that the constructions are best studied in their original contexts of use. Thus, the study is usage-based in a strict sense. The data is compiled from various corpora consisting of both written and spoken as well as standard and non-standard Finnish. The dissertation consists of an introduction and four empirical studies. The four papers examine various Finnish constructions and thereby shed light on different aspects of the dynamism of a grammar. The first paper focuses on the diachronic development of the Finnish temporal converb essa. The second paper discusses a specific construction which includes the essa converb, that is, the mikäs on ollessa construction. Some closely related constructions and their semantic interplay are also examined. The third paper extensively studies what is generally regarded as an ellipsis of the negation verb in Finnish. By using present day Finnish data, I show that the omission of the negation verb is not an instance of mere ellipsis but rather a construction. The final paper combines the themes of the second and the third paper by focusing on closely related constructions of the negative ellipsis construction.

Spinaalistenoosipotilaiden psyykkinen hyvinvointi ennen leikkaushoitoa ja sen jälkeen

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

Cognitive Functioning in Young Adults with Depression, Anxiety Disorders, or Burnout Symptoms : Findings from a Population-based Sample

Background. Evidence of cognitive dysfunction in depressive and anxiety disorders is growing. However, the neuropsychological profile of young adults has received only little systematic investigation, although depressive and anxiety disorders are major public health problems for this age group. Available studies have typically failed to account for psychiatric comorbidity, and samples derived from population-based settings have also seldom been investigated. Burnout-related cognitive functioning has previously been investigated in only few studies, again all using clinical samples and wide age groups. Aims. Based on the information gained by conducting a comprehensive review, studies on cognitive impairment in depressive and anxiety disorders among young adults are rare. The present study examined cognitive functioning in young adults with a history of unipolar depressive or anxiety disorders in comparison to healthy peers, and associations of current burnout symptoms with cognitive functioning, in a population-based setting. The aim was also to determine whether cognitive deficits vary as a function of different disorder characteristics, such as severity, psychiatric comorbidity, age at onset, or the treatments received. Methods. Verbal and visual short-term memory, verbal long-term memory and learning, attention, psychomotor processing speed, verbal intelligence, and executive functioning were measured in a population-based sample of 21-35 year olds. Performance was compared firstly between participants with pure non-psychotic depression (n=68) and healthy peers (n=70), secondly between pure (n=69) and comorbid depression (n=57), and thirdly between participants with anxiety disorders (n=76) and healthy peers (n=71). The diagnostic procedure was based on the SCID interview. Fourthly, the associations of current burnout symptoms, measured with the Maslach Burnout Inventory General Survey, and neuropsychological test performance were investigated among working young adults (n=225). Results. Young adults with depressive or anxiety disorders, with or without psychiatric comorbidity, were not found to have major cognitive impairments when compared to healthy peers. Only mildly compromised verbal learning was found among depressed participants. Pure and comorbid depression groups did not differ in cognitive functioning, either. Among depressed participants, those who had received treatment showed more impaired verbal memory and executive functioning, and earlier onset corresponded with more impaired executive functioning. In anxiety disorders, psychotropic medication and low psychosocial functioning were associated with deficits in executive functioning, psychomotor processing speed, and visual short-term memory. Current burnout symptoms were associated with better performance in verbal working memory and verbal intelligence. However, lower examiner-rated social and occupational functioning was associated with problems in verbal attention, memory, and learning. Conclusions. Depression, anxiety disorders, or burnout symptoms may not be associated with major cognitive deficits among young adults derived from the general population. Even psychiatric comorbidity may not aggravate cognitive functioning in depressive or anxiety disorders among these young adults. However, treatment-seeking in depression was found to be associated with cognitive deficits, suggesting that these deficits relate to increased distress. Additionally, early-onset depression, found to be associated with executive dysfunction, may represent a more severe form of the disorder. In anxiety disorders, those with low symptom-related psychosocial functioning may have cognitive impairment. An association with self-reported burnout symptoms and cognitive deficits was not detected, but individuals with low social and occupational functioning may have impaired cognition.

Occupational burnout and health

Occupational burnout and heath Occupational burnout is assumed to be a negative consequence of chronic work stress. In this study, it was explored in the framework of occupational health psychology, which focusses on psychologically mediated processes between work and health. The objectives were to examine the overlap between burnout and ill health in relation to mental disorders, musculoskeletal disorders, and cardiovascular diseases, which are the three commonest disease groups causing work disability in Finland; to study whether burnout can be distinguished from ill health by its relation to work characteristics and work disability; and to determine the socio-demographic correlates of burnout at the population level. A nationally representative sample of the Finnish working population aged 30 to 64 years (n = 3151-3424) from the multidisciplinary epidemiological Health 2000 Study was used. Burnout was measured with the Maslach Burnout Inventory - General Survey. The diagnoses of common mental disorders were based on the standardized mental health interview (the Composite International Diagnostic Interview), and physical illnesses were determined in a comprehensive clinical health examination by a research physician. Medically certified sickness absences exceeding 9 work days during a 2-year period were extracted from a register of The Social Insurance Institution of Finland. Work stress was operationalized according to the job strain model. Gender, age, education, occupational status, and marital status were recorded as socio-demographic factors. Occupational burnout was related to an increased prevalence of depressive and anxiety disorders and alcohol dependence among the men and women. Burnout was also related to musculoskeletal disorders among the women and cardiovascular diseases among the men independently of socio-demographic factors, physical strenuousness of work, health behaviour, and depressive symptoms. The odds of having at least one long, medically-certified sickness absence were higher for employees with burnout than for their colleagues without burnout. For severe burnout, this association was independent of co-occurring common mental disorders and physical illnesses for both genders, as was also the case for mild burnout among the women. In a subgroup of the men with absences, severe burnout was related to a greater number of absence days than among the women with absences. High job strain was associated with a higher occurrence of burnout and depressive disorders than low job strain was. Of these, the association between job strain and burnout was stronger, and it persisted after control for socio-demographic factors, health behaviour, physical illnesses, and various indicators of mental health. In contrast, job strain was not related to depressive disorders after burnout was accounted for. Among the working population over 30 years of age, burnout was positively associated with age. There was also a tendency towards higher levels of burnout among the women with low educational attainment and occupational status and among the unmarried men. In conclusion, a considerable overlap was found between burnout, mental disorders, and physical illnesses. Still, burnout did not seem to be totally redundant with respect to ill health. Burnout may be more strongly related to stressful work characteristics than depressive disorders are. In addition, burnout seems to be an independent risk factor for work disability, and it could possibly be used as a marker of health-impairing work stress. However, burnout may represent a different kind of risk factor for men and women, and this possibility needs to be taken into account in the promotion of occupational health.

On the environmental genetics of depressive symptoms : Focus on two serotonergic genes

Depression is a complex psychiatric disorder influenced by several genes, environmental factors, and their interplay. Serotonin receptor 2A (HTR2A) and tryptophan hydroxylase 1 (TPH1) genes have been implicated in vulnerability to depression and other psychiatric disorders, but the results have been inconsistent. The present study examined whether these two genes moderated the influence of different depressogenic environmental factors on subthreshold depressive symptoms (assessed on a modified version of Beck s Depression Inventory, BDI) and depression-related temperament, i.e., harm avoidance (assessed on the Temperament and Character Inventory, TCI). The environmental factors included measures of childhood and adolescence exposure, i.e., maternal nurturance and parental socioeconomic status, and adulthood social circumstances, i.e., perceived social support and urban/rural residence. The participants were two randomly selected subsamples (n = 1246, n = 341) from the longitudinal population-based Cardiovascular Risk in Young Finns study (n = 3596). Childhood environmental factors were assessed when the participants were 3 to 18 years of age, and three years after the baseline. Adulthood environmental factors and outcome measures were assessed 17 and 21 years later when the participants were 21 to 39 years of age. The T102C polymorphism of the HTR2A gene moderated the association between childhood maternal nurturance and adulthood depressive symptoms, such that exposure to high maternal nurturance predicted low depressive symptoms among individuals carrying the T/T or T/C genotypes, but not among those carrying the C/C genotype. Likewise, high parental SES predicted low adulthood harm avoidance in individuals carrying the T/T or T/C genotype, but not in C/C-genotype carriers. Individuals carrying the T/T or T/C genotype were also sensitive to urban/rural residence, such that they had lower depressive symptoms in urban than in rural areas, whereas those carrying the C/C genotype were not sensitive to urban/rural residence difference. HTR2A did not moderate the influence of social support. TheA779C/A218C haplotype of the TPH1 gene was not involved in the association between childhood environment and adulthood outcomes. However, individuals carrying A alleles of the TPH1 haplotype were more vulnerable to the lack of adulthood social support in terms of high depressive symptoms than their counterparts carrying no A alleles. Furthermore, individuals living in remote rural areas and carrying the A/A haplotype had higher depressive symptoms than those carrying other genotypes of the TPH1. The findings suggest that the HTR2A and TPH1 genes may be involved in the development of depression by influencing individual s sensitivity to depressogenic environmental influences.

Issues in socially desirable responding and personality research

The four studies presented in this dissertation were designed to examine the influence of socially desirable responding (SDR) on personality research outcomes. The assessment of personality relies heavily on the use of self-report questionnaires. Their validity could be threatened by people being dishonest in their self-descriptions and ascribing more desirable traits to themselves than would be warranted by their behaviour. Scales designed to detect SDR have been around for half a century, but their status continues to be debated. Paulhus (1991) Balanced Inventory of Desirable Responding (BIDR) is perhaps the most prominent of the scales developed to distinguish between those individuals who have distorted their responses and those who have not. The first two studies included in this dissertation mostly deal with the properties of the BIDR. The other two studies are less focused on SDR scales and investigate, more generally, the potential effects of SDR on two phenomena that are of central interest to the general personality discourse personality stability over time and volunteering as participants in psychological research. The data of Studies I and II showed that Paulhus BIDR scales, designed to be indicators of SDR, are not pure measures both the communion management and self-deceptive enhancement scales are, at once, measures of response bias and measures of more substantive individual differences in behaviour. The data further suggested that the communion management and self-deceptive enhancement scales of the BIDR are somewhat accurate measures of communal and agentic bias, respectively. No evidence for a suppressor model of SDR, and only weak evidence for a moderator model, was found in those studies. Concerning research on personality stability, some data in Study I suggested that SDR may add reliable and common variance to a personality questionnaire administered at two different points in time, thus artificially inflating the test-retest correlation of that questionnaire. Furthermore, Study III demonstrated that the maturity-stability hypothesis may be in part, but not entirely, a product of SDR. Study IV suggested that some of the observed personality differences between research volunteers and nonvolunteers may be due to heightened SDR of volunteers. However, those personality differences were by no means exclusively attributable to differences in SDR. In sum, the work presented in this thesis reveals some ambiguity regarding the effects of SDR on personality research, as is true of much of the previous research on SDR. Clear-cut conclusions are difficult to reach, as the data were neither fully consistent with the view that SDR can be ignored, nor with the view that SDR needs to be controlled in some way. The struggle to understand the influence of SDR on personality research continues.