Soils in an agricultural landscape of Jokioinen, south-western Finland

Selostus: Jokioisten seudun maannokset

Land use response to agricultural policy and market movements on Finnish dairy-farms

Selostus: Tuki- ja hintamuutosten vaikutus maitotilojen pellon käyttöön

Arsenic and heavy metal concentrations in agricultural soils in South Savo province

Selostus: Etelä-Savon viljelysmaan arseeni- ja raskasmetallipitoisuudet

Optimal beef cattle management under agricultural policy reforms in Finland

Selostus: Politiikkamuutosten vaikutus lihanautojen optimaaliseen ruokintaan ja teurastuksen ajoitukseen

Effects of competing vegetation and post-planting weed control on the mortality, growth and vole damages to Betula pendula planted on former agricultural land

Abstract

Local and Regional Scale Determinants of Biodiversity Patterns in Boreal Agricultural Landscapes

This thesis examines the local and regional scale determinants of biodiversity patterns using existing species and environmental data. The research focuses on agricultural environments that have experienced rapid declines of biodiversity during past decades. Existing digital databases provide vast opportunities for habitat mapping, predictive mapping of species occurrences and richness and understanding the speciesenvironment relationships. The applicability of these databases depends on the required accuracy and quality of the data needed to answer the landscape ecological and biogeographical questions in hand. Patterns of biodiversity arise from confounded effects of different factors, such as climate, land cover and geographical location. Complementary statistical approaches that can show the relative effects of different factors are needed in biodiversity analyses in addition to classical multivariate models. Better understanding of the key factors underlying the variation in diversity requires the analyses of multiple taxonomic groups from different perspectives, such as richness, occurrence, threat status and population trends. The geographical coincidence of species richness of different taxonomic groups can be rather limited. This implies that multiple geographical regions should be taken into account in order to preserve various groups of species. Boreal agricultural biodiversity and in particular, distribution and richness of threatened species is strongly associated with various grasslands. Further, heterogeneous agricultural landscapes characterized by moderate field size, forest patches and non-crop agricultural habitats enhance the biodiversity of rural environments. From the landscape ecological perspective, the major threats to Finnish agricultural biodiversity are the decline of connected grassland habitat networks, and general homogenization of landscape structure resulting from both intensification and marginalization of agriculture. The maintenance of key habitats, such as meadows and pastures is an essential task in conservation of agricultural biodiversity. Furthermore, a larger landscape context should be incorporated in conservation planning and decision making processes in order to respond to the needs of different species and to maintain heterogeneous rural landscapes and viable agricultural diversity in the future.

On diversity effects of alternative agricultural policy reforms in Finland : an agricultural sector modelling approach

Selostus: Maatalouspolitiikkauudistusten vaikutuksista pellonkäytön diversiteettiin

Analysis of Earnings, Stock Prices and Bond Yields: The Fed Model Approach

Prediction of the stock market valuation is a common interest to all market participants. Theoretically sound market valuation can be achieved by discounting future earnings of equities to present. Competing valuation models seek to find variables that affect the equity market valuation in a way that the market valuation can be explained and also variables that could be used to predict market valuation. In this paper we test the contemporaneous relationship between stock prices, forward looking earnings and long-term government bond yields. We test this so-called Fed model in a long- and short-term time series analysis. In order to test the dynamics of the relationship, we use the cointegration framework. The data used in this study spans over four decades of various market conditions between 1964-2007, using data from United States. The empirical results of our analysis do not give support for the Fed model. We are able to show that the long-term government bonds do not play statistically significant role in this relationship. The effect of forward earnings yield on the stock market prices is significant and thus we suggest the use of standard valuation ratios when trying to predict the future paths of equity prices. Also, changes in the long-term government bond yields do not have significant short-term impact on stock prices.

Analysis of outliers in electricity spot prices with exampleof New England and New Zealand markets

Electricity spot prices have always been a demanding data set for time series analysis, mostly because of the non-storability of electricity. This feature, making electric power unlike the other commodities, causes outstanding price spikes. Moreover, the last several years in financial world seem to show that ’spiky’ behaviour of time series is no longer an exception, but rather a regular phenomenon. The purpose of this paper is to seek patterns and relations within electricity price outliers and verify how they affect the overall statistics of the data. For the study techniques like classical Box-Jenkins approach, series DFT smoothing and GARCH models are used. The results obtained for two geographically different price series show that patterns in outliers’ occurrence are not straightforward. Additionally, there seems to be no rule that would predict the appearance of a spike from volatility, while the reverse effect is quite prominent. It is concluded that spikes cannot be predicted based only on the price series; probably some geographical and meteorological variables need to be included in modeling.

Research of wood fuel market in Ukraine and the Republic of Belarus

The goal of the present work was to describe the wood fuel market of Ukraine and the Republic of Belarus, to estimate wood fuel potential and to research opportunities of wood fuel trading. Nowadays the wood waste, wood residues and by-products are becoming more and more potential raw materials for energy production. Against the background of unstable prices of traditional energy sources and environmental degradation, European States are planning to get 12% of energy from alternative sources already in 2010. Wastes of wood-working and agricultural productions are such sources. At present time the most popular wood biofuels are wood pellets, briquettes, wood chips and logs. Ukraine and the Republic of Belarus have a rather big potential of wood fuel resources. But wood fuels markets of these countries are on the entry level and quite disorganized. There is almost no domestic usage of wood biofuel. All produced pellets, briquettes as well as wood chips and logs go to the export, but the volumes are not high at present time. Ukraine and the Republic of Belarus have a very suitable geographical location. The most promising directions of wood fuel trading are developed wood fuel markets of Northern countries, Austria, Germany as well as actively developing markets of Poland and Hungary. At the long distance truck and sea transportation are the most appropriate. At a short distance cheap transportation by rail is more suitable. Thereby export is a potential opportunity for development of wood fuel production and in the future for usage in the researched countries.