6 research outputs found

    Picking Up the Pieces—Harmonising and Collating Seabed Substrate Data for European Maritime Areas

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    The poor access to data on the marine environment is a handicap to government decision-making, a barrier to scientific understanding and an obstacle to economic growth. In this light, the European Commission initiated the European Marine Observation and Data Network (EMODnet) in 2009 to assemble and disseminate hitherto dispersed marine data. In the ten years since then, EMODnet has become a key producer of publicly available, harmonised datasets covering broad areas. This paper describes the methodologies applied in EMODnet Geology project to produce fully populated GIS layers of seabed substrate distribution for the European marine areas. We describe steps involved in translating national seabed substrate data, conforming to various standards, into a uniform EMODnet substrate classification scheme (i.e., the Folk sediment classification). Rock and boulders form an additional substrate class. Seabed substrate data products at scales of 1:250,000 and 1:1 million, compiled using descriptions and analyses of seabed samples as well as interpreted acoustic images, cover about 20% and 65% of the European maritime areas, respectively. A simple confidence assessment, based on sample and acoustic coverage, is helpful in identifying data gaps. The harmonised seabed substrate maps are particularly useful in supraregional, transnational and pan-European marine spatial planning

    Testate amoebae (thecamoebians) as indicators of aquatic mine impact

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    The environmental impacts of a single mine often remain local, but acidic and metal-rich acid mine drainage (AMD) from the waste materials may pose a serious threat to adjacent surface waters and their ecosystems. Testate amoebae (thecamoebian) analysis was used together with lake sediment geochemistry to study and evaluate the ecological effects of sulphidic metal mines on aquatic environments. Three different mines were included in the study: Luikonlahti Cu-mine in Kaavi, eastern Finland, Haveri Cu-Au mine in YlöjĂ€rvi, southern Finland and PyhĂ€salmi Zn-Cu-S mine in PyhĂ€jĂ€rvi, central Finland. Luikonlahti and Haveri are closed mines, but PyhĂ€salmi is still operating. The sampling strategy was case specific, and planned to provide a representative sediment sample series to define natural background conditions, to detect spatial and temporal variations in mine impacts, to evaluate the possible recovery after the peak contamination, and to distinguish the effects of other environmental factors from the mining impacts. In the Haveri case, diatom analyses were performed alongside thecamoebian analysis to evaluate the similarities and differences between the two proxies. The results of the analyses were investigated with multivariate methods (direct and indirect ordinations, diversity and distance measure indices). Finally, the results of each case study were harmonized, pooled, and jointly analyzed to summarize the results for this dissertation. Geochemical results showed broadly similar temporal patterns in each case. Concentrations of ions in the pre-disturbance samples defined the natural baseline against which other results were compared. The beginning of the mining activities had only minor impacts on sediment geochemistry, mainly appearing as an increased clastic input into the lakes at Haveri and PyhĂ€salmi. The active mining phase was followed by the metallic contamination and, subsequently, by the most recent change towards decreased but still elevated metal concentrations in the sediments. Because of the delay in the oxidation of waste material and formation of AMD, the most intense, but transient metal contamination phase occurred in the post-mining period at Luikonlahti and Haveri. At PyhĂ€salmi, the highest metal contamination preceded effluent mitigation actions. Spatial gradients were observed besides the temporal evolution in both the pre-disturbance and mine-impacted samples from Luikonlahti and PyhĂ€salmi. The geochemical gradients varied with distance from the main source of contaminants (dispersion and dilution) and with water depth (redox and pH). The spatial extent of the highest metal contamination associated with these mines remained rather limited. At Haveri, the metallic impact was widespread, with the upstream site in another lake basin found to be contaminated. Changes in thecamoebian assemblages corresponded well with the geochemical results. Despite some differences, the general features and ecological responses of the faunal assemblages were rather similar in each lake. Constantly abundant strains of Difflugia oblonga, Difflugia protaeiformis and centropyxids formed the core of these assemblages. Increasing proportions of Cucurbitella tricuspis towards the surface samples were found in all of the cases. The results affirmed the indicator value of some already known indicator forms, but such as C. tricuspis and higher nutrient levels, but also elicited possible new ones such as D. oblonga ‘spinosa’ and clayey substrate, high conductivity and/or alkalinity, D. protaeiformis ‘multicornis’ and pH, water hardness and the amount of clastic material and Centropyxis constricta ‘aerophila’ and high metal and S concentrations. In each case, eutrophication appeared to be the most important environmental factor, masking the effects of other variables. Faunal responses to high metal inputs in sediments remained minor, but were nevertheless detectable. Besides the trophic state of the lake, numerical methods suggested overall geochemical conditions (pH, redox) to be the most important factor at Luikonlahti, whereas the Haveri results showed the clearest connection between metals and amoebae. At PyhĂ€salmi, the strongest relationships were found between Ca- and S-rich present loading, redox conditions and substrate composition. Sediment geochemistry and testate amoeba analysis proved to be a suitable combination of methods to detect and describe the aquatic mine impacts in each specific case, to evaluate recovery and to differentiate between the effects of different anthropogenic and natural environmental factors. It was also suggested that aquatic mine impacts can be significantly mitigated by careful design and after-care of the waste facilities, especially by reducing and preventing AMD. The case-specific approach is nevertheless necessary because of the unique characteristics of each mine and variations in the environmental background conditions.Siirretty Doriast

    Low Carbon Finland 2050 -platform: vÀhÀhiilipolkujen kiintopisteet ja virstanpylvÀÀt:Yhteenveto hankkeen tuloksista ja johtopÀÀtöksistÀ

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    TÀssÀ julkaisussa esitetÀÀn Low Carbon Finland 2050 -platform (LCFinPlat) -hankkeen keskeiset tulokset. Hankkeen tavoitteena oli luoda vankkoja tiekarttoja vÀhÀhiiliselle ja kilpailukykyiselle yhteiskunnalle sekÀ tarkastella vihreÀÀn teknologiaan liittyvÀn kasvun edellytyksiÀ. Hankkeen osapuolina toimivat VTT, Valtion taloudellinen tutkimuskeskus (VATT), MetsÀntutkimuslaitos (Metla) ja Geologian tutkimuskeskus (GTK) koordinaation ollessa VTT:n vastuulla. Hanke kuuluu Tekesin Green Growth - Tie kestÀvÀÀn talouteen -ohjelmaan. Hankkeen kÀynnistyskokous pidettiin 23.3.2012 ja pÀÀtösseminaari 4.11.2014. Hankkeen pÀÀtavoitteen taustalla oli pÀÀmisteri Kataisen hallitusohjelma, johon oli kirjattu, ettÀ ilmastotavoitteiden saavuttamiseksi hallitus laatii pitkÀn aikavÀlin ilmastopoliittisen EU-strategian (VNK 2011). KesÀllÀ 2013 hallitus asetti parlamentaarisen energia- ja ilmastokomitean valmistelemaan mietintöÀ, joka toimii strategisen tason ohjeena matkalla kohti hiilineutraalia Suomea. Elinkeinoministeri Jan Vapaavuoren vetÀmÀÀn komiteaan kuului kaksi edustajaa jokaisesta eduskuntapuolueesta. TÀmÀn energiaja ilmastotiekartan valmistelun keskeisenÀ taustamateriaalina kÀytettiin LCFinPlathankkeen tuottamia vaikutusarvioita vaihtoehtoisista vÀhÀhiilipoluista

    Picking Up the PiecesHarmonising and Collating Seabed Substrate Data for European Maritime Areas

    Full text link
    The poor access to data on the marine environment is a handicap to government decision-making, a barrier to scientific understanding and an obstacle to economic growth. In this light, the European Commission initiated the European Marine Observation and Data Network (EMODnet) in 2009 to assemble and disseminate hitherto dispersed marine data. In the ten years since then, EMODnet has become a key producer of publicly available, harmonised datasets covering broad areas. This paper describes the methodologies applied in EMODnet Geology project to produce fully populated GIS layers of seabed substrate distribution for the European marine areas. We describe steps involved in translating national seabed substrate data, conforming to various standards, into a uniform EMODnet substrate classification scheme (i.e., the Folk sediment classification). Rock and boulders form an additional substrate class. Seabed substrate data products at scales of 1:250,000 and 1:1 million, compiled using descriptions and analyses of seabed samples as well as interpreted acoustic images, cover about 20% and 65% of the European maritime areas, respectively. A simple confidence assessment, based on sample and acoustic coverage, is helpful in identifying data gaps. The harmonised seabed substrate maps are particularly useful in supraregional, transnational and pan-European marine spatial planning
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