Browsing by Subject "connectivity"
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(2012)The purpose of this master's thesis is to study nature values within the Finnish national Natura 2000 network on state owned land. The six goals of this work were achieved: 1) Areas with most nature values were identified by prioritizing habitats of Natura 2000 directive (92/43/EU) within. Areas with high nature value were usually in very natural state and had good connectivity to other similar places, or they were spots of some very rare nature types. 2) It was found out that data used was suitable for identifying conservation values, 3) find out the suitability of Zonation software in conservation area management and maintenance planning and 4) find out how results will change if conservation status is taken into account. As an addition to these 5) the most considerable areas with high conservation value were identified and 6) "Zonation software in a nutshell" was produced in Finnish to assist Finnish state officials to use the software for conservation purposes. These results will help Metsähallitus (The Finnish Forest and Park Service) - Natural Heritage Service - to target resourcing of habitat management and restoration in and around the areas with most considerable nature values. It is essential to sustain these areas and their values so that their nationwide importance can be maintained into the future. Data used in this study covered areas that were classified as Natura 2000 habitats according to European Union Council Directive 92/43/EEC. Analyses were done by using Zonation software, a tool for spatial conservation prioritization. Data consisted of 68 Natura 2000 habitat types and their state of naturalness and representativeness. Zonation took into account the rarity, quality, importance, threat status, biodiversity value, congruity and connectivity of these habitat types. As a result software produces a map of conservation priorities and associated quantitative information, which facilitate identification of areas with most considerable nature values. These were identified both ocularly and with Zonation software. Analyses were done at two levels: all habitat types together and in subgroups following division to major habitat types, such as coastal environments, inland waters, meadows, alpine habitats, peat lands, rocky areas and forests. Results showed that connectivity increased aggregation of areas with high nature values and weighting spread them. Hierarchical analysis was used to find out how nature values changed when the conservation status of the areas were taken into account. The results of hierarchical analysis show that conservation status changed the results a lot. Difference between main analysis and hierarchical analysis was much greater than when taken into account connectivity of feature weights. Hierarchical comparison revealed that many areas with considerable high nature values areas are not presently strictly protected.
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(2018)For a long time protected areas have been vital in conserving species and biodiversity. But due to climate change it is important to study whether the protected area networks are able to fulfill their goals also in a changing climate. Because of climate change the amount of southern species is increasing. At the same time the number of northern species is declining as are the suitable habitats for them. In order to adapt to changes in the climate, species are forced to shift their distributions poleward and upward. As a result, species communities are changing and some species may be threatened with extinction. It is therefore urgent to study whether the protected areas can alleviate the effects of climate change and whether they are capable to protect biodiversity in a changing climate. The aim of the study was to investigate whether the protected areas in Finland have been able to alleviate the effects of climate change in the bird species communities. The study was based on line transect bird censuses carried out in 182 protected areas during the years 1980–1999 and 2000–2015. Community temperature index (CTI) was used to study bird communities’ response to temperature change. Thus, CTI is used as a climate change indicator. CTI is based on the average temperature of the species range. A higher CTI value therefore indicates that a higher proportion of birds in the community are warm-dwelling species whereas the low CTI value indicates the opposite. The aim was to find out how the size of the protected area, connectivity between the protected areas and the type of habitat had affected the change of CTI between research periods. Protected areas were divided into three groups based on their location: northern, central and southern parts. 14 models were built in each part, ranked according to their AIC values. Linear regression analysis was used as the analytical method. During the research period, CTI had risen in 155 protected areas indicating a change in the direction of warmer bird communities. However, we found out that certain features of protected areas were able to alleviate the effects of climate change. Better connectivity decreased the changes in bird communities in the northern and central parts. But in the southern parts a similar effect was not found, possibly due to the smaller size of the protected areas and the lower degree of connectivity. The larger size of the protected area was supposed to reduce the changes in CTI but the results did not support this hypothesis. In all parts open habitats were more effective in alleviating the effects of climate change than the forest habitats. On the basis of the results, increasing the connectivity between protected areas could potentially be advantageous for the species suffering from climate change.
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