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(RS) e Santa Catarina (SC), Brasil meridional. Para tanto foram usados os dados diários e das normais climatológicas (1961-90) das estações do Instituto Nacional de Meteorologia (INMET). Foi elaborada uma caracterização climática da área de estudo, que forneceu o apoio para a contextualização do fenômeno. Os dados climatológicos básicos (temperaturas médias mensais compensadas, temperaturas mínimas absolutas e totais pluviométricos mensais) foram obtidos diretamente das normais climatológicas publicadas pelo INMET. Os dados referentes aos dias de neve foram compilados diretamente das observações do INMET para planilha eletrônica onde se totalizaram os dias de neve e foram calculadas médias e percentuais convencionais. Em termos sazonais, o período de ocorrência estende-se de maio até setembro, quando a massa de ar polar marítima (mP) tem maior atuação no sul do Brasil. O mês de julho concentra a maioria dos eventos, com mais de 40% dos dias de neve na maioria das estações analisadas. A trajetória do anticiclone móvel polar tem papel fundamental no entendimento do fenômeno, associando-se a maioria dos eventos com passagens interiores (i.e., continentais) do referido sistema atmosférico. As áreas mais altas do Brasil meridional, a partir da cota de 600 m, são as que apresentam as maiores médias anuais de dias com neve, com valores que chegam até a média de 1,8 dias/ano em Cambará do Sul e 2,7 dias/ano em São Joaquim (SC). Esse município possui as mais altas médias de ocorrência da neve. A área de maior recorrência do fenômeno foi chamada de “Planalto da Neve”, subdividida em dois setores: I, acima de 900 m e II, entre 600 m e 900 m. O referido Planalto possui 95.242 km² distribuídos no RS e SC, localizando-se no seu interior 90 cidades gaúchas e 101 catarinenses. A análise da variação inter-anual (com dados de São Joaquim, SC) indicou que, de toda a série estudada, apenas os anos de 1961, 1963, 1971, 1973, 1982 e 1986, não apresentam registro de neve. As nevadas mais relevantes ocorreram nos anos de 1965, 1975, 1988 e 1990. Os intervalos entre períodos de ausência de neve e de nevadas mais importantes indica um ciclo decadal na dinâmica do fenômeno. Apesar dos picos de precipitação em 1988 e 1990, não existe uma tendência de aumento da precipitação de neve naquela cidade. / This work analyzes the seasonal and spatial distribution of snow in Rio Grande do Sul (RS) and Santa Catarina (SC), southern Brazil. This analysis is based on the daily data and the Climatological Normals (1961-1990), coming from the local weather stations, maintained by the Instituto Nacional de Meteorologia (INMET), to obtain the basic climatological data (compensated monthly medium temperatures, minimum absolute temperatures and monthly pluviometric totals). To contextualize the study of this phenomenon, the characterization of the climate was prepared for the region. The total days of snow, averages and conventional percentages were compiled directly from INMET observations. In seasonal terms, the occurrence period extends from May to September, when the marine polar air mass (mP) has greater influence in the south of Brazil. The month of July concentrated most of the events, with more than 40% of the days of snow in most of the analyzed stations. The polar anticyclone has a fundamental role in the understanding this phenomenon, associating most of the events with continental passages of this atmospheric system. The highlands of southern Brazil, starting at 600 m, present the largest annual averages of days with snow, values averaging from 1.8 day/year in Cambará do Sul (RS) to 2.7 day/year in São Joaquim (SC), the highest averages of snow occurrence. The area of occurrence of the phenomenon is called “Planalto da Neve”, and is subdivided in two sectors: 1) above 900 m and, 2) between 600 m and 900 m. This plateau possesses 95.242 km² and is spread out between RS and SC, comprising 90 municipalities of RS and 101 in SC. The analysis of the interannual variation considering the data from São Joaquim, SC ) indicated that, from the studied series, 1961, 1963, 1971, 1973, 1982 and 1986, did not register snow. The most relevant snowfalls happened in the years of 1965, 1975, 1988 and 1990. The intervals between periods with absence of snow and of more important snowfalls indicates a decadal cycle in the dynamics of the phenomenon. Regardless of the peaks in precipitation registered for 1988 and 1990, there is no trend in the increase of snow precipitation for São Joaquim.

(RS) e Santa Catarina (SC), Brasil meridional. Para tanto foram usados os dados diários e das normais climatológicas (1961-90) das estações do Instituto Nacional de Meteorologia (INMET). Foi elaborada uma caracterização climática da área de estudo, que forneceu o apoio para a contextualização do fenômeno. Os dados climatológicos básicos (temperaturas médias mensais compensadas, temperaturas mínimas absolutas e totais pluviométricos mensais) foram obtidos diretamente das normais climatológicas publicadas pelo INMET. Os dados referentes aos dias de neve foram compilados diretamente das observações do INMET para planilha eletrônica onde se totalizaram os dias de neve e foram calculadas médias e percentuais convencionais. Em termos sazonais, o período de ocorrência estende-se de maio até setembro, quando a massa de ar polar marítima (mP) tem maior atuação no sul do Brasil. O mês de julho concentra a maioria dos eventos, com mais de 40% dos dias de neve na maioria das estações analisadas. A trajetória do anticiclone móvel polar tem papel fundamental no entendimento do fenômeno, associando-se a maioria dos eventos com passagens interiores (i.e., continentais) do referido sistema atmosférico. As áreas mais altas do Brasil meridional, a partir da cota de 600 m, são as que apresentam as maiores médias anuais de dias com neve, com valores que chegam até a média de 1,8 dias/ano em Cambará do Sul e 2,7 dias/ano em São Joaquim (SC). Esse município possui as mais altas médias de ocorrência da neve. A área de maior recorrência do fenômeno foi chamada de “Planalto da Neve”, subdividida em dois setores: I, acima de 900 m e II, entre 600 m e 900 m. O referido Planalto possui 95.242 km² distribuídos no RS e SC, localizando-se no seu interior 90 cidades gaúchas e 101 catarinenses. A análise da variação inter-anual (com dados de São Joaquim, SC) indicou que, de toda a série estudada, apenas os anos de 1961, 1963, 1971, 1973, 1982 e 1986, não apresentam registro de neve. As nevadas mais relevantes ocorreram nos anos de 1965, 1975, 1988 e 1990. Os intervalos entre períodos de ausência de neve e de nevadas mais importantes indica um ciclo decadal na dinâmica do fenômeno. Apesar dos picos de precipitação em 1988 e 1990, não existe uma tendência de aumento da precipitação de neve naquela cidade. / This work analyzes the seasonal and spatial distribution of snow in Rio Grande do Sul (RS) and Santa Catarina (SC), southern Brazil. This analysis is based on the daily data and the Climatological Normals (1961-1990), coming from the local weather stations, maintained by the Instituto Nacional de Meteorologia (INMET), to obtain the basic climatological data (compensated monthly medium temperatures, minimum absolute temperatures and monthly pluviometric totals). To contextualize the study of this phenomenon, the characterization of the climate was prepared for the region. The total days of snow, averages and conventional percentages were compiled directly from INMET observations. In seasonal terms, the occurrence period extends from May to September, when the marine polar air mass (mP) has greater influence in the south of Brazil. The month of July concentrated most of the events, with more than 40% of the days of snow in most of the analyzed stations. The polar anticyclone has a fundamental role in the understanding this phenomenon, associating most of the events with continental passages of this atmospheric system. The highlands of southern Brazil, starting at 600 m, present the largest annual averages of days with snow, values averaging from 1.8 day/year in Cambará do Sul (RS) to 2.7 day/year in São Joaquim (SC), the highest averages of snow occurrence. The area of occurrence of the phenomenon is called “Planalto da Neve”, and is subdivided in two sectors: 1) above 900 m and, 2) between 600 m and 900 m. This plateau possesses 95.242 km² and is spread out between RS and SC, comprising 90 municipalities of RS and 101 in SC. The analysis of the interannual variation considering the data from São Joaquim, SC ) indicated that, from the studied series, 1961, 1963, 1971, 1973, 1982 and 1986, did not register snow. The most relevant snowfalls happened in the years of 1965, 1975, 1988 and 1990. The intervals between periods with absence of snow and of more important snowfalls indicates a decadal cycle in the dynamics of the phenomenon. Regardless of the peaks in precipitation registered for 1988 and 1990, there is no trend in the increase of snow precipitation for São Joaquim.

Bakgrund och problem: Tidigare forskning kring CSR-implementering har i större utsträckning fokuserat på stora företag. Dock tyder tidigare forskning på att CSR är ett koncept som även förekommer inom små och medelstora företag. Det finns emellertid bristande forskning om hur små och medelstora företags tillämpning av strategi påverkar graden av CSR-implementering. Vidare är informell kontroll en aspekt som, enligt tidigare forskning, är väsentlig inom små och medelstora företag. Syfte: Studien syftar till att undersöka till vilken grad små och medelstora företag implementerar CSR och hur implementeringen påverkas av vilken strategi företaget tillämpar. Varför ett företag implementerar CSR kan förklaras med hjälp av intressentteorin samt legitimitetsteorin. Vidare är syftet att testa och förklara hur relationen mellan graden av CSR-implementering och den strategi som tillämpas, påverkas av graden av användning av informell kontroll. I enlighet med contingency teorin påverkas variablers samband av andra faktorer. Metod: Studien är genomförd med en kvantitativ forskningsstrategi med en deduktiv ansats. Hypoteser har formulerats utifrån vedertagna teorier och data har samlats in genom en tvärsnittsstudie. 108 svenska små och medelstora företag utgör studiens urval. Resultat och slutsats: Resultaten visar på att strategin prospector för SME har ett positivt samband med graden av CSR-implementering. Vidare visar studien på informell kontroll har en stark positiv relation till graden av CSR-implementering oberoende av vilken strategi små och medelstora företag tillämpar. Studien tyder även på att företag som tillämpar strategierna prospector för SME och reactor för SME i hög grad implementerar CSR. Det finns däremot inget samband mellan att tillämpa strategierna defender för SME samt analyzer för SME och graden av CSR-implementering i förhållande till användning av informell kontroll. Slutligen visar studien på att små och medelstora företag i hög grad implementerar CSR i sina verksamheter. / Background and problem: Previous studies on CSR to a large extend have so far focused on its implementation on large firms. However, other research also states that CSR is a concept that is provided in small and medium-sized enterprises (SMEs) as well. There is, however, lack of research among SME companies and how their strategy affects the degree of the CSR-implementation. Furthermore, informal control is an aspect that according to earlier studies is essential within small and midsized companies. Purpose: The purpose of the study is to investigate in what extent SMEs implements CSR and how this implementation is affected by the strategy these companies applies. The reason why a company implements CSR can be explained by using the stakeholder and legitimacy theories. Furthermore, the purpose is also to try to test and explain the correlation between the strategy applied and if this is affected when using informal control. In accordance to the contingency theory, variables in this equation are affected by other factors. Method: The study is conducted with a quantitative research strategy with a deductive approach. Hypotheses are based on established theories, and data has been added from a cross-sectional study. 108 Swedish SMEs constitutes the study´s collection. Results and conclusions: The result of the study shows that the strategy prospector for SMEs has a positive connection with the extent of CSR-implementation. Furthermore, the study shows that informal control has a strong positive correlation to the degree of CSR-implementation independently of what strategy the SMEs are applying. The study also shows that companies who apply the strategies prospector for SMEs and reactor for SMEs is very prone to implement CSR. However, there is no correlation between the defender for SMEs and analyzer for SMEs strategies, and the extent of CSRimplementation for the use of informal control. As final, the study also shows that SMEs implement CSR to a large degree in their businesses.

(RS) e Santa Catarina (SC), Brasil meridional. Para tanto foram usados os dados diários e das normais climatológicas (1961-90) das estações do Instituto Nacional de Meteorologia (INMET). Foi elaborada uma caracterização climática da área de estudo, que forneceu o apoio para a contextualização do fenômeno. Os dados climatológicos básicos (temperaturas médias mensais compensadas, temperaturas mínimas absolutas e totais pluviométricos mensais) foram obtidos diretamente das normais climatológicas publicadas pelo INMET. Os dados referentes aos dias de neve foram compilados diretamente das observações do INMET para planilha eletrônica onde se totalizaram os dias de neve e foram calculadas médias e percentuais convencionais. Em termos sazonais, o período de ocorrência estende-se de maio até setembro, quando a massa de ar polar marítima (mP) tem maior atuação no sul do Brasil. O mês de julho concentra a maioria dos eventos, com mais de 40% dos dias de neve na maioria das estações analisadas. A trajetória do anticiclone móvel polar tem papel fundamental no entendimento do fenômeno, associando-se a maioria dos eventos com passagens interiores (i.e., continentais) do referido sistema atmosférico. As áreas mais altas do Brasil meridional, a partir da cota de 600 m, são as que apresentam as maiores médias anuais de dias com neve, com valores que chegam até a média de 1,8 dias/ano em Cambará do Sul e 2,7 dias/ano em São Joaquim (SC). Esse município possui as mais altas médias de ocorrência da neve. A área de maior recorrência do fenômeno foi chamada de “Planalto da Neve”, subdividida em dois setores: I, acima de 900 m e II, entre 600 m e 900 m. O referido Planalto possui 95.242 km² distribuídos no RS e SC, localizando-se no seu interior 90 cidades gaúchas e 101 catarinenses. A análise da variação inter-anual (com dados de São Joaquim, SC) indicou que, de toda a série estudada, apenas os anos de 1961, 1963, 1971, 1973, 1982 e 1986, não apresentam registro de neve. As nevadas mais relevantes ocorreram nos anos de 1965, 1975, 1988 e 1990. Os intervalos entre períodos de ausência de neve e de nevadas mais importantes indica um ciclo decadal na dinâmica do fenômeno. Apesar dos picos de precipitação em 1988 e 1990, não existe uma tendência de aumento da precipitação de neve naquela cidade. / This work analyzes the seasonal and spatial distribution of snow in Rio Grande do Sul (RS) and Santa Catarina (SC), southern Brazil. This analysis is based on the daily data and the Climatological Normals (1961-1990), coming from the local weather stations, maintained by the Instituto Nacional de Meteorologia (INMET), to obtain the basic climatological data (compensated monthly medium temperatures, minimum absolute temperatures and monthly pluviometric totals). To contextualize the study of this phenomenon, the characterization of the climate was prepared for the region. The total days of snow, averages and conventional percentages were compiled directly from INMET observations. In seasonal terms, the occurrence period extends from May to September, when the marine polar air mass (mP) has greater influence in the south of Brazil. The month of July concentrated most of the events, with more than 40% of the days of snow in most of the analyzed stations. The polar anticyclone has a fundamental role in the understanding this phenomenon, associating most of the events with continental passages of this atmospheric system. The highlands of southern Brazil, starting at 600 m, present the largest annual averages of days with snow, values averaging from 1.8 day/year in Cambará do Sul (RS) to 2.7 day/year in São Joaquim (SC), the highest averages of snow occurrence. The area of occurrence of the phenomenon is called “Planalto da Neve”, and is subdivided in two sectors: 1) above 900 m and, 2) between 600 m and 900 m. This plateau possesses 95.242 km² and is spread out between RS and SC, comprising 90 municipalities of RS and 101 in SC. The analysis of the interannual variation considering the data from São Joaquim, SC ) indicated that, from the studied series, 1961, 1963, 1971, 1973, 1982 and 1986, did not register snow. The most relevant snowfalls happened in the years of 1965, 1975, 1988 and 1990. The intervals between periods with absence of snow and of more important snowfalls indicates a decadal cycle in the dynamics of the phenomenon. Regardless of the peaks in precipitation registered for 1988 and 1990, there is no trend in the increase of snow precipitation for São Joaquim.

As a result of climate change, the snowfall amounts may be reduced and hence the snow accumulation, which recharges the groundwater in spring. Groundwater significantly influences summer low flows and its deficiency may negatively affect the streamflow and reduce the water supply in snow- dominated regions. This thesis aimes to describe the influence of changes in snow water equivalent on the inter-annual variability of minimal discharges in warm season (April to September) in eleven mountain catchments of the Czech Republic. The aimes were to determine 1) the duration of snow effects on the minimum discharges after the snowmelt onset, 2) the effect of inter-annual changes of snow water equivalent on minimal discharges in the warm season and 3) the date of the summer lowflows and the trend of its shift within the year. The results are based on hydrological and climatological station data collected by Czech Hydrometeorological Institute between the years 1980 and 2014. Snow affected the summer low flows until June and in exceptional cases even until July in higher elevation catchments. The most significant change was recorded in Úpa catchment, which belongs to higher elevation catchments, the 10 % decrease of maximum snow water equivalent caused reductions in minimal discharge by 8.8 % and 6.8 % in...

La situation en Antarctique est complexe. Continent peu connu et isolégéographiquement,les processus qui contrôlent son bilan de masse et son bilan d'énergie sont encore mal compris. Dans ce contexte, l'étude de la température de surface connaît un intérêt grandissant de la part de la communauté scientifique. En effet, en contrôlant fortement la température de la neige jusqu'à des dizaines, voire des centaines, de mètres sous la surface, la température de surface influence l'état thermique de la calotte du plateau antarctique, sa dynamique et, par conséquent, son bilan de masse. De plus, en agissant sur les émissions de flux thermiques infrarouges et sur les flux turbulents de chaleurs sensibles et latents, la température de surface est directement liée au bilan énergétique de surface du plateau antarctique. L'analyse de la température de surface et l'étude des processus physiques à l'origine de sa variabilité participent à l'amélioration de la compréhension du bilan énergétique de surface, étape nécessaire pour déterminer l'état actuel de sa calotte et faire des prévisions sur sa potentielle contribution à l'élévation du niveau des mers. Ce travail de thèse participe à cet effort en s'intéressant au cycle diurne de la température de surface et aux différents facteurs contribuant à sa variabilité spatiale et temporelle sur le plateau antarctique. Il débute par une évaluation de différentes données entre 2000 et 2012 montrant le bon potentiel de la température de surface MODIS qui peut dès lors être utilisée comme donnée de référence pour l'évaluation des modèles et réanalyses. Un biais chaud systématique de 3 à 6°C dans la réanalyse ERA-interim de la température de surface est ainsi mis en évidence sur le plateau antarctique. L'observation du cycle diurne de la température de surface a, quant à elle, permis d'identifier la densité superficielle parmi ses facteurs de variabilité. Sur les premiers centimètres du manteau neigeux où se concentrent la majorité des échanges de masse et d'énergie entre l'atmosphère et la calotte antarctique, la densité de la neige est une donnée cruciale car elle agit sur l'absorption du rayonnement solaire dans le manteau neigeux mais également sur la conductivité thermique du manteau et donc sur la propagation de la chaleur entre la surface et les couches en profondeur. La densité superficielle de la neige présente cependant de nombreuses incertitudes sur sa variabilité spatio-temporelle et sur les processus qui la contrôlent. De plus, ne pouvant être mesurées qu'in situ, les données de densité superficielle en Antarctique sont restreintes géographiquement. Cette thèse explore une nouvelle application de la température de surface consistant à estimer la densité superficielle de la neige via une méthode d'inversion de simulations numériques. Une carte de la densité superficielle en Antarctique a ainsi pu être produite en minimisant l'erreur de simulation sur l'amplitude diurne. / The antarctic ice sheet is a key element in the climate system and an archive of past climate variations. However, given the scarcity of observations due to the geographical remoteness of Antarctica and its harsh conditions, little is known about the processes that control its mass balance and energy. In this context, several studies focus on the surface temperature which controls the snow temperature up to tens, if not hundreds, of meters beneath the surface. It also influences the thermal state of the antarctic ice sheet, its dynamics, and thus, its mass balance. Surface temperature is also directly linked to the surface energy balance through its impact on thermal and surface turbulent heat flux emissions. Thus, surface temperature analysis and the study of physical processes that control surface temperature variability contribute to the better understanding of the surface energy balance, which is a necessary step to identify the actual state of the antarctic ice sheet and forecast its impact on sea level rise. This thesis work contributes to this effort by focusing on the surface temperature diurnal cycle and various factors impacting spatial and temporal surface temperature variability on the Antarctic Plateau. First, an evaluation of MODIS data, done by comparison with in situ measurements, shows MODIS great potential in the observation of the surface temperature of the Antarctic Plateau under clear-sky conditions. Hourly MODIS surface temperature data from 2000 to 2011 were then used to evaluate the accuracy of snow surface temperature in the ERA-Interim reanalysis and the temperature produced by a stand-alone simulation with the Crocus snowpack model using ERA-Interim forcing. It reveals that ERA-Interim has a widespread warm bias on the Antarctic Plateau ranging from +3 to +6°C depending on the location. Afterwards, observations of the surface temperature diurnal cycle allow an identification of the surface density as a factor of surface temperature variability. On the topmost centimeters of the snowpack where most mass and energy exchanges between the surface and atmosphere happen, density is critical for the energy budget because it impacts both the effective thermal conductivity and the penetration depth of light. However, there are considerable uncertainties around surface density spatio-temporal variability and the processes that control it. Besides, since surface density can only be measured in situ, surface density measurements in Antarctica are restricted to limited geographical areas. Thus, this thesis also explores a new application of surface temperature by estimating surface density in Antarctica based on the monotonic relation between surface density and surface temperature diurnal amplitude. A map of surface density is obtained by minimising the simulation error related to diurnal amplitude of the surface temperature.

O presente trabalho tem por objetivo apresentar os resultados de uma pesquisa realizada em pequenas empresas, visando identificar os tipos de estratégia adotados e sua relação com os estilos cognitivos de seus dirigentes. Para tanto, foi utilizado o modelo proposto por Miles e Snow para classificar as escolhas estratégicas reportadas pelos empresários. Esta escolha fundamenta-se no fato de que a taxonomia tem se mostrado adequada para a análise do comportamento estratégico de pequenas empresas. Em relação ao aspecto cognitivo, foi usado o modelo KAI (Kirton Adaptor- Innovator) para se avaliar o estilo dos dirigentes. Os dados foram coletados em empresas da região do Vale do Paraíba, SP e da região de Campinas, SP. A análise desses dados revela, em primeiro lugar, que todos os quatro tipos estratégicos são encontrados em ambas as regiões, e que a distribuição desses tipos não apresenta diferenças significativas de uma região para outra. Quanto ao estilo cognitivo, pode-se verificar que os resultados obtidos são equivalentes àqueles encontrados em pesquisas similares realizados no exterior, e que os empresários distribuem-se igualmente entre inovadores e adaptadores. Finalmente, embora não tenha sido possível encontrar correlação significativa entre os estilos cognitivos e a tipologia estratégica geral das empresas de ambas as regiões, foi identificada uma forte correlação entre estilo inovador e estratégia prospectiva e também entre estilo adaptador e estratégia defensiva nas áreas relativas ao empreendedorismo e à tecnologia. / The present work has for objective to present the results of a research realized in small companies, seeking to identify the strategy types adopted and your relationship with your leaders cognitive styles. For this reason, the model used was proposed by Miles and Snow to classify the choices strategic reported for the entrepreneurs. This choice is based in the fact that the taxonomic has been showing if appropriate for the analysis of the strategic behavior of small companies. In relation to the cognitive aspect, the model was used KAI (Kirton Adaptor-Innovator) to evaluate the leaders style. The data were collected in companies of the area of the Vale do Paraíba, SP and of the area of Campinas, SP. The analysis of those data reveals, in first place, that all the four strategic types are found in both areas, and that the distribution of those types doesnt present significant differences of an area for other. With relationship to the cognitive style, it can be verified that the obtained results are equivalent, those found in similar researches accomplished in the exterior, and that the entrepreneurs are distributed equally between innovators and adapters. Finally, although it has not been possible to find significant correlation between the cognitive styles and the general strategic typology of the companies of both areas, it was identified a strong correlation between innovative style and prospective strategy and also among adapting style and defensive strategy in the relative areas to the entrepreneurial activities and the technology.

I studien undersöks relationen mellan svenska skidbranschens klimatberoende samt klimatpåverkan. Huvudfrågan är: Vad är skidbranschens ansvar i klimatfrågan och hur kommer branschen hantera förändringar i framtiden? Intervjuer samt tidigare forskning sattes i relation till teorier av Boserup, Ostrom samt Hess. Skidbranschen är enligt tidigare forskning till stor del beroende av ett kallt klimat samtidigt som branschen bidrar till den globala uppvärmningen, främst genom transporter. Utifrån informanterna samt tidigare forskning styr konsumenterna till stor del branschens utveckling och i enlighet med Boserups teori bekräftar vår studie att de tekniska lösningarna skett som ett svar på en större efterfråga samt konsumenters hårdare krav. Den tekniska utvecklingen ses både av informanterna i branschen samt den tidigare forskningen som en lösning på de konsekvenser som klimatförändringarna kan föra med sig. Klimatförändringarna förväntas, enligt tidigare forskning att påverka skiddestinationer och åtgärder för att minska utsläppen av växthusgaser behöver tas. Utifrån Ostroms och Hess teorier föreslår vi vintern som en common för att på så sätt få mer effektiva styrningssystem gällande skidbranschen. / This study examines the relationship between the Swedish ski industry’s dependence and impact on the climate. The main question was: What is the ski industry’s responsibility in the climate issue and how will the industry handle climate changes in the future? Interviews and previous research were put in relation to theories of Boserup, Ostrom and Hess. According to previous research, the ski industry is largely dependent on a cold climate, while at the same time the industry contributes to global warming, primarily through transports. Based on the informants as well as previous research, the consumers largely control the industry’s development and our study in connection with Boserup’s theory, is that the technical solutions have been made in response to a greater demand and harder consumer requirements. The technological development is seen both by the informants in the industry and the previous research as a solution to the consequences that climate change may bring. According to previous research, climate change is expected to affect ski destinations and measures to reduce greenhouse gas emissions need to be taken. Based on Ostrom’s and Hess's theory, we propose winter as a common in order to get more efficient control systems for the ski industry.

We can find a lot of microorganisms living in snow including psychrophilic snow algae from the order Chlamydomonadales (Chlorophyta). They are adapted to the extreme conditions in this habitat and can cause the phenomenon of coloured snow. The species Chlamydomonas nivalis (Bauer) Wille is the most commonly associated with red snow in alpine and polar regions during summer season worldwide. In the field material, we can find red spherical cells without flagella and any morphological characteristics suitable for species determination. Until now, this species has not been isolated into laboratory culture and its life cycle is unclear. Furthermore it has been shown that red coloured snow can be caused by more species which used to be determined as Chlamydomonas nivalis. The aim of this study was to collect samples of red snow from different parts of Europe, to describe the morphological variability of Chlamydomonas nivalis-like snow algae in relation to region of origin, to try to isolate laboratory strain of this species and to describe its position and distribution by phylogenetic analysis of laboratory strains and field samples. Red snow samples were collected from 30 European localities in Slovenian Alps, Romania, Dolomites, Ötztal, Wallis and Sarntal Alps, High Tauern, Ortler massif, in Norway,...