Finlands fiskar målade efter naturen = The fishes of Finland, drawn and coloured from life. Häft. 1-12

Gustaf (Gösta) Sundman (1854-1914) tuli tunnetuksi korkeatasoisten luonnontieteellisten kuvateosten kuvittajana. Finlands fiskar –teos ilmestyi kahtenatoista vihkona 1883-1893, upeat, metallihohtoiset kalojen kuvat irrallisina tauluina. Kalateokset tekstit ovat eläintieteen professori O. M. Reuterin ja eläintieteellisen museon amanuenssin A. J. Melan laatimia.

Conservation Genetics of Exploited Finnish Salmonid Fishes

Genetic diversity is one of the levels of biodiversity that the World Conservation Union (IUCN) has recognized as being important to preserve. This is because genetic diversity is fundamental to the future evolution and to the adaptive flexibility of a species to respond to the inherently dynamic nature of the natural world. Therefore, the key to maintaining biodiversity and healthy ecosystems is to identify, monitor and maintain locally-adapted populations, along with their unique gene pools, upon which future adaptation depends. Thus, conservation genetics deals with the genetic factors that affect extinction risk and the genetic management regimes required to minimize the risk. The conservation of exploited species, such as salmonid fishes, is particularly challenging due to the conflicts between different interest groups. In this thesis, I conduct a series of conservation genetic studies on primarily Finnish populations of two salmonid fish species (European grayling, Thymallus thymallus, and lake-run brown trout, Salmo trutta) which are popular recreational game fishes in Finland. The general aim of these studies was to apply and develop population genetic approaches to assist conservation and sustainable harvest of these populations. The approaches applied included: i) the characterization of population genetic structure at national and local scales; ii) the identification of management units and the prioritization of populations for conservation based on evolutionary forces shaping indigenous gene pools; iii) the detection of population declines and the testing of the assumptions underlying these tests; and iv) the evaluation of the contribution of natural populations to a mixed stock fishery. Based on microsatellite analyses, clear genetic structuring of exploited Finnish grayling and brown trout populations was detected at both national and local scales. Finnish grayling were clustered into three genetically distinct groups, corresponding to northern, Baltic and south-eastern geographic areas of Finland. The genetic differentiation among and within population groups of grayling ranged from moderate to high levels. Such strong genetic structuring combined with low genetic diversity strongly indicates that genetic drift plays a major role in the evolution of grayling populations. Further analyses of European grayling covering the majority of the species’ distribution range indicated a strong global footprint of population decline. Using a coalescent approach the beginning of population reduction was dated back to 1 000-10 000 years ago (ca. 200-2 000 generations). Forward simulations demonstrated that the bottleneck footprints measured using the M ratio can persist within small populations much longer than previously anticipated in the face of low levels of gene flow. In contrast to the M ratio, two alternative methods for genetic bottleneck detection identified recent bottlenecks in six grayling populations that warrant future monitoring. Consistent with the predominant role of random genetic drift, the effective population size (N_e) estimates of all grayling populations were very low with the majority of N_e estimates below 50. Taken together, highly structured local populations, limited gene flow and the small N_e of grayling populations indicates that grayling populations are vulnerable to overexploitation and, hence, monitoring and careful management using the precautionary principles is required not only in Finland but throughout Europe. Population genetic analyses of lake-run brown trout populations in the Inari basin (northernmost Finland) revealed hierarchical population structure where individual populations were clustered into three population groups largely corresponding to different geographic regions of the basin. Similar to my earlier work with European grayling, the genetic differentiation among and within population groups of lake-run brown trout was relatively high. Such strong differentiation indicated that the power to determine the relative contribution of populations in mixed fisheries should be relatively high. Consistent with these expectations, high accuracy and precision in mixed stock analysis (MSA) simulations were observed. Application of MSA to indigenous fish caught in the Inari basin identified altogether twelve populations that contributed significantly to mixed stock fisheries with the Ivalojoki river system being the major contributor (70%) to the total catch. When the contribution of wild trout populations to the fisheries was evaluated regionally, geographically nearby populations were the main contributors to the local catches. MSA also revealed a clear separation between the lower and upper reaches of Ivalojoki river system – in contrast to lower reaches of the Ivalojoki river that contributed considerably to the catch, populations from the upper reaches of the Ivalojoki river system (>140 km from the river mouth) did not contribute significantly to the fishery. This could be related to the available habitat size but also associated with a resident type life history and increased cost of migration. The studies in my thesis highlight the importance of dense sampling and wide population coverage at the scale being studied and also demonstrate the importance of critical evaluation of the underlying assumptions of the population genetic models and methods used. These results have important implications for conservation and sustainable fisheries management of Finnish populations of European grayling and brown trout in the Inari basin.

Vähempiarvoisen kalan käsittelyketjut ja hiilijalanjälki

The condition of Baltic Sea has weakened considerably because of eutrophication which has caused massive increase of devalued fish. The condition of Baltic Sea can be helped by fishing these fish. This study handles three different ways to approach those fish utilizations and counts carbon footprint for those three chains. Environmental point of views are also examined. There are three different fish processing chains. Every processing chain begins with fishing the fish in Baltic Sea. After that the fishes are prepared by crushing and some formic acid is added to ensure preservation. In the first processing chain the fishes are processed as biodiesel. The waste from the biodiesel process is taken to the anaerobic digestion and the forming methane is used as energy. In the second chain the fishes are taken straight to the anaerobic digestion after preparing. In the third chain, the fish will be first prepared and then taken to fur farms as forage. The carbon footprint has been calculated for 1000 kg fish. The carbon footprint in the first chain is 164-178 kg CO2e, in the second chain 313 – 333 kg CO2e and in the third chain 363 kg CO2e. In the processing chains the bioenergy is produced from the biodiesel, anaerobic digestion and from the glycerol, which is by-product of the biodiesel. The energy produced from the biodiesel is so-called emission neutral, which is not taken into account when calculating emissions. The energy is used to compensate the emissions caused by fossil fuels. The PAS 2050 was used to calculate the carbon footprint. Only carbon dioxide and methane were used when calculating the carbon footprint.