Estimation of local forest attributes, utilizing two-phase sampling and auxiliary data

This thesis examines the feasibility of a forest inventory method based on two-phase sampling in estimating forest attributes at the stand or substand levels for forest management purposes. The method is based on multi-source forest inventory combining auxiliary data consisting of remote sensing imagery or other geographic information and field measurements. Auxiliary data are utilized as first-phase data for covering all inventory units. Various methods were examined for improving the accuracy of the forest estimates. Pre-processing of auxiliary data in the form of correcting the spectral properties of aerial imagery was examined (I), as was the selection of aerial image features for estimating forest attributes (II). Various spatial units were compared for extracting image features in a remote sensing aided forest inventory utilizing very high resolution imagery (III). A number of data sources were combined and different weighting procedures were tested in estimating forest attributes (IV, V). Correction of the spectral properties of aerial images proved to be a straightforward and advantageous method for improving the correlation between the image features and the measured forest attributes. Testing different image features that can be extracted from aerial photographs (and other very high resolution images) showed that the images contain a wealth of relevant information that can be extracted only by utilizing the spatial organization of the image pixel values. Furthermore, careful selection of image features for the inventory task generally gives better results than inputting all extractable features to the estimation procedure. When the spatial units for extracting very high resolution image features were examined, an approach based on image segmentation generally showed advantages compared with a traditional sample plot-based approach. Combining several data sources resulted in more accurate estimates than any of the individual data sources alone. The best combined estimate can be derived by weighting the estimates produced by the individual data sources by the inverse values of their mean square errors. Despite the fact that the plot-level estimation accuracy in two-phase sampling inventory can be improved in many ways, the accuracy of forest estimates based mainly on single-view satellite and aerial imagery is a relatively poor basis for making stand-level management decisions.

Remote sensing of boreal land cover: estimation of forest attributes and extent

Remote sensing provides methods to infer land cover information over large geographical areas at a variety of spatial and temporal resolutions. Land cover is input data for a range of environmental models and information on land cover dynamics is required for monitoring the implications of global change. Such data are also essential in support of environmental management and policymaking. Boreal forests are a key component of the global climate and a major sink of carbon. The northern latitudes are expected to experience a disproportionate and rapid warming, which can have a major impact on vegetation at forest limits. This thesis examines the use of optical remote sensing for estimating aboveground biomass, leaf area index (LAI), tree cover and tree height in the boreal forests and tundra taiga transition zone in Finland. The continuous fields of forest attributes are required, for example, to improve the mapping of forest extent. The thesis focus on studying the feasibility of satellite data at multiple spatial resolutions, assessing the potential of multispectral, -angular and -temporal information, and provides regional evaluation for global land cover data. Preprocessed ASTER, MISR and MODIS products are the principal satellite data. The reference data consist of field measurements, forest inventory data and fine resolution land cover maps. Fine resolution studies demonstrate how statistical relationships between biomass and satellite data are relatively strong in single species and low biomass mountain birch forests in comparison to higher biomass coniferous stands. The combination of forest stand data and fine resolution ASTER images provides a method for biomass estimation using medium resolution MODIS data. The multiangular data improve the accuracy of land cover mapping in the sparsely forested tundra taiga transition zone, particularly in mires. Similarly, multitemporal data improve the accuracy of coarse resolution tree cover estimates in comparison to single date data. Furthermore, the peak of the growing season is not necessarily the optimal time for land cover mapping in the northern boreal regions. The evaluated coarse resolution land cover data sets have considerable shortcomings in northernmost Finland and should be used with caution in similar regions. The quantitative reference data and upscaling methods for integrating multiresolution data are required for calibration of statistical models and evaluation of land cover data sets. The preprocessed image products have potential for wider use as they can considerably reduce the time and effort used for data processing.

Finitary Abstract Elementary Classes

The research in model theory has extended from the study of elementary classes to non-elementary classes, i.e. to classes which are not completely axiomatizable in elementary logic. The main theme has been the attempt to generalize tools from elementary stability theory to cover more applications arising in other branches of mathematics. In this doctoral thesis we introduce finitary abstract elementary classes, a non-elementary framework of model theory. These classes are a special case of abstract elementary classes (AEC), introduced by Saharon Shelah in the 1980's. We have collected a set of properties for classes of structures, which enable us to develop a 'geometric' approach to stability theory, including an independence calculus, in a very general framework. The thesis studies AEC's with amalgamation, joint embedding, arbitrarily large models, countable Löwenheim-Skolem number and finite character. The novel idea is the property of finite character, which enables the use of a notion of a weak type instead of the usual Galois type. Notions of simplicity, superstability, Lascar strong type, primary model and U-rank are inroduced for finitary classes. A categoricity transfer result is proved for simple, tame finitary classes: categoricity in any uncountable cardinal transfers upwards and to all cardinals above the Hanf number. Unlike the previous categoricity transfer results of equal generality the theorem does not assume the categoricity cardinal being a successor. The thesis consists of three independent papers. All three papers are joint work with Tapani Hyttinen.

Constructing Fair Tourism in Ecuador: The Case of Asoguabo

Tämän pro gradu-tutkielman tarkoitus on tutkia, miten reilun kaupan banaania tuottavan El Guabon pienten banaaninviljelijöiden järjestön Asoguabon reilun turismin projekti on rakennettu. Projektin muotoutumista tutkitaan tässä työssä kahdesta eri näkökulmasta: siitä, miksi ja miten Asoguabo on monipuolistanut viljelystä turismiin, sekä siitä, millainen kuva projektista on rakennettu markkinoinnin kautta ja miten reilun kaupan mainonnasta tuttuja ilmiöitä on hyödynnetty reilun turismin rakentamisessa. Tutkielman teoreettisena taustana on maaseudun muutoksia tarkasteleva uuden ruraliteetin käsite. Turismi on viime vuosikymmenten aikana muuttunut, ja matkailijat etsivät yhä enemmän aitoja ja autenttisia matkailukokemuksia. Samanaikaisesti turismia on tuotteistettu korostamalla sen tiettyjä, kestävän kehityksen mukaisia piirteitä, ja erityisesti kehittyvissä maissa turismia markkinoidaan usein vaihtoehtoisena, yhteisöpohjaisena tai ekoturismina. Reilu turismi on uutena käsitteenä tullut mukaan tähän laajaan kirjoon, ja tämä tutkielma käsitteleekin Asoguabon projektia nimenomaan reilun turismin näkökulmasta. Tämä tutkielma on tapaustutkimus Asoguabon turismiprojektista, ja pohjautuu kuukauden pituiseen kenttätyöhön Ecuadorissa tammikussa 2010 sekä kirjoittajan aiempiin kokemuksiin Asoguabosta. Aineisto koostuu 21 puoli-strukturoidusta laadullisesta haastattelusta kuudentoista informantin kanssa, joista suurin osa oli hyvin läheisesti tekemisissä projektin kanssa. Tämän lisäksi aineistonkeruussa on käytetty havainnointia sekä projektin markkinointimateriaalien sisällönanalyysia. Tutkielma osoittaa reilun turismin projektin sisältävän monia haasteita ennen kuin se voi saavuttaa tavoitteensa tuottaa lisätuloja Asoguabon toimintaan. Tutkimushetkellä projekti hyödytti suoraan pääasiassa muutamia järjestön viljelijöitä, lähinnä niitä, jotka toimivat projektissa oppaina. Nämä oppaat hyötyvät projektista saamalla pieniä lisätuloja, kasvattamalla sosiaalista pääomaansa, sekä saamalla mahdollisuuden oppia muun muassa osallistumalla kursseille. Tutkimuksen keskeiset tulokset osoittavat myös, kuinka vuorovaikutus-ongelmat projektin eri toimijoiden välillä vaikeuttavat tiedonkulkua ja täten reilun turismin toimintaa. Nämä ongelmat myös lisäävät epätietoisuutta Asoguabon muiden viljelijöiden parissa. Lisäksi tutkimus osoittaa, kuinka reilun turismin projektin mainonnassa käytetään osittain samoja keinoja kuin reilun kaupan tuotteiden mainonnassa, joskin tuottajia on kuvattu mainosmateriaaleissa yllättävän vähän ja pääosassa ovat usein eurooppalaiset turistit.

The Impact of Readily Detected- and Underlying Attributes on Social Integration in Cross-Cultural Settings

The benefits and drawbacks of homogeneity and heterogeneity have been debated at length. Whereas some researchers assert that heterogeneity is beneficial for groups that are engaged in complex problem solving, the other researchers emphasize the potential costs associated with diversity. The inconsistency is a result of the incomplete measurement of diversity and focus one or two types of diversity. Most research concentrates on the readily detected/visible characteristics, making the assumption that such characteristics are related to underlying attributes (e.g., attitudes and values). In many cases, the demographic characteristics do not covary perfectly with the psychological attributes. Thus both types of attributes need to be utilized to fully understand the impact of diversity. The present research with four essays takes into account both types of attributes and tests their impact on social integration in cross-cultural settings. The results indicate that: (1) readily detectable- and underlying attributes are not related; (2) diversity has overall a negative impact on social integration; (3) socio-cultural context potentially influences the salience of diversity; and (4) diversity and social integration influences the formation of social cognition in form of transactive memory directories. The limits of research and managerial implications are discussed.

Swedish Premium Pension Funds: Attributes and Performance

This study investigates the relationship between fund attributes and performance. The focus is on funds available in the Swedish Premium Pension system (PPM-funds). The aim has been to investigate whether administration fees, manager tenure or past performance are of importance for pension savers when they pick their PPM-funds. The results indicate that high fees are a disadvantage to pension savers investing in bond funds but not to those investing in stock funds. Manager tenure has no relationship with performance. There is evidence of performance persistency in most of the investigated fund categories.

Corporate Brand Repositioning with CSR as the Differentiating Factor: A Study on Consumer Perceptions

Purpose – This research paper studies how the strategy of repositioning enables marketers to communicate CSR as their brand’s differentiating factor. It aims at understanding how consumer perceptions can be managed to generate brand value through corporate brand repositioning when CSR is the differentiating factor. The purpose of this paper is to answer the following research question: How can consumer perceptions be managed to generate brand value through corporate brand repositioning when CSR is the differentiating factor? The two research objectives were: 1. to build a model, which describes the different components of consumer perceptions involved in generation of brand value through repositioning when CSR is the differentiating factor, 2. to identify the most critical components in the context of the case company, IKEA for generation of brand value during the process of corporate brand repositioning Design/methodology/approach – This paper is based on the literature review covering the logic of brand value generation, repositioning strategy and consumer perceptions connected to CSR activities. A key concept of the positioning theory, the brand’s differentiating factor, was explored. Previous studies have concluded that desirability of the differentiating factor largely determines the level of brand value-creation for the target customers. The criterion of desirability is based on three dimensions: relevance, distinctiveness and believability. A model was built in terms of these desirability dimensions. This paper takes a case study approach where the predefined theoretical framework is tested using IKEA as the case company. When developing insights on the multifaceted nature of brand perceptions, personal interviews and individual probing are vital. They enable the interviewees to reflect on their feelings and perceptions with their own words. This is why the data collection was based on means-end type of questioning. Qualitative interviews were conducted with 12 consumers. Findings – The paper highlights five critical components that may determine whether IKEA will fail in its repositioning efforts. The majority of the critical components involved believability perceptions. Hence, according to the findings, establishing credibility and trustworthiness for the brand in the context of CSR seems primary. The most critical components identified of the believability aspect were: providing proof of responsible codes of conduct via conducting specific and concrete CSR actions, connecting the company’s products and the social cause, and building a linkage between the initial and new positioning while also weakening the old positioning. Originality/value – Marketers’ obligation is to prepare the company for future demands. Companies all over the globe have recognized the durable trend of responsibility and sustainability. Consumer´s worry about the environmental and social impact of modern lifestyles is growing. This is why Corporate Social Responsibility (CSR) provides brands an important source of differentiation and strength in the future. The strategy of repositioning enables marketers to communicate CSR as their brand’s differentiating factor. This study aimed at understanding how consumer perceptions can be managed to generate brand value through corporate brand repositioning when CSR is the differentiating factor.