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Viimeksi tallennetut

Maaseutupoliittista parlémentarismia: selonteon lähetekeskustelu eduskunnassa
Vihinen, Hilkka
Maaseutututkimus : 1/2026 (Maaseudun uusi aika ry, 2026)
Integrating multi-source geospatial data to monitor peatland red-listed plant species, greenhouse gas dynamics, and the water table
Christiani, Priscillia
Nordia geographical publications : 6 (The Geographical Society of Northern Finland, 2026)
Peatlands are important ecosystems that support biodiversity, regulate greenhouse gases (GHGs) and flooding, and help to purify water. In Finland, however, more than 50 % of peatlands have been drained to support forestry, agriculture, and peat extraction. These activities have reduced peatland biodiversity, increased GHG emissions, and altered peatland hydrology, resulting in widespread peatland ecosystem degradation. Consequently, large-scale restoration efforts have been initiated to mitigate these impacts and restore peatland functioning. As restoration progresses, regular monitoring of peatland biodiversity, GHG fluxes, and the water table (WT) is needed to track peatland conditions over time. One approach to monitoring peatlands is field-based observation. However, this method is constrained by high costs, limited accessibility, and restricted spatial coverage. To address these limitations, this research explores the use of geospatial environmental and remote sensing (RS) data, combined with statistical modelling, as an alternative means to support peatland monitoring. First, environmental data were used to analyse whether different restoration and climate change scenarios affect the national-scale distribution of potential habitats for red-listed peatland plant species in Finland. Second, environmental data and RS data (Sentinel-1 and Sentinel-2 imagery) were compared and combined to detect national-scale patterns of potential peatland GHG sinks and sources and to evaluate which data sources provided better predictive performance. Third, environmental data were used to improve RS-based peatland WT models in three study areas ranging from 18 to 175 ha. Environmental data were able to predict the potential habitats of peatland red-listed plant species at the national scale. Drainage and climate variables were the most important predictors. Model projections indicated that climate warming will reduce potential suitable habitats for many red-listed species, especially in the northern and middle boreal zones. However, restoration increased the amount of potential suitable habitat, reduced habitat loss, and moderated future northward shifts in species distributions. The benefits of restoration were strongest under mild climate scenarios and gradually weakened towards the end of the twenty-first century under severe warming. Although the models performed well, future studies concerning the interaction between restoration and climate change should include ecological constraints such as dispersal and species interactions to improve the realism of long-term predictions. In detecting potential GHG sinks and sources, models combining both environmental and RS data performed best, while RS-only models had the lowest accuracy. Maps generated from environmental data alone and those from the combined dataset showed similar patterns, whereas RS-only maps displayed some differences in spatial extent. These results suggest that RS data alone are not sufficient for reliable national-scale GHG predictions and that integrating environmental and RS data is necessary to obtain accurate and realistic estimates of potential peatland GHG sink–source distributions. At the local scale, combining RS and environmental data improved peatland WT models, both spatially and across seasons. In patterned northern boreal aapa mires, the topographic wetness index and topographic position index were important for explaining spatial WT variation. In a southern boreal drained peatland forest site, canopy height played a larger role in WT dynamics, especially across different management treatments. Uncrewed aerial vehicle data offered very high-resolution information that captured microtopography and vegetation patterns, while Sentinel-2 data allowed repeated seasonal monitoring. These results demonstrate that multi-source RS, combined with environmental variables, can support efficient peatland WT monitoring.
Regional impacts of increasing forest protection: scenario analysis of wood production, profitability, biodiversity and carbon storage in Southern Finland
Haikarainen, Soili; Ahtikoski, Anssi; Huuskonen, Saija; Koskela, Terhi; Lehtonen, Mika; Salminen, Hannu; Hynynen, Jari
European journal of forest research : 5 (Springer Nature, 2026)
The EU Biodiversity Strategy sets out targets to halt biodiversity loss. In Finland, achieving these goals would require the supplementary conservation (SC) of boreal forests, consequently reducing the area of production forests. Utilising scenario analyses, the large-scale impacts of SC were studied from two perspectives: environmental (deadwood, broadleaves, carbon) and forestry (removals, profitability). Two harvesting strategies were also considered: one in which the decrease in harvesting removals due to SC was compensated, and another without compensation. Circa 1.27 million hectares of forests in southern Finland were included into analyses. Motti simulator was used to produce stand projections for 50 years. The reference scenario, BAU (business-as-usual), represented the current production forest area, whereas in the SC scenarios, area of production forest reduced due to the SC. The SC levels were relative to the 10% regional strict forest protection target suggested by the Finnish Nature Panel. SC100 corresponded to the full required SC area in their suggestion, SC50 to half and SC25 to a quarter. The study revealed that SC increased the broadleaved volume (2–10% compared to BAU) and the accumulation of deadwood (7–29%), across all forests. The carbon storage of the living trees also increased (2–10%), but only without removal compensation. Prioritising older stands in SC resulted in a non-linear dependency between increasing environmental benefits and increasing SC area, leading to considerable differences in trade-offs. Furthermore, the harvesting strategy itself had a decisive impact on trade-offs. SC with removal compensation was distinctively more cost-efficient than without it.
Precision Fish Farming in land-based recirculating aquaculture systems : State of the art and future perspectives : White Paper
Bang Jensen, Britt; Agerbo Krogh, Mogens; Pastell, Matti; Spiliotopoulou, Aikaterini; Vale Nielsen, Kristoffer; Mørkøre Thorup, Vivi; Foldager, Leslie; Fred, Hilla; Silva de Oliveira, Victor Henrique; Frandsen, Mette; Bertelsen, Martin; Petersen, Paw
Reports from the Norwegian Veterinary Institute : 12/2026 (Norwegian Veterinary Institute, 2026)
Capture of Saprolegnia parasitica Spores in Flow‐Through Aquaculture : First Observations
Lindholm‐Lehto, Petra Camilla; Kontturi, Katri S.; Meinander, Kristoffer; Orelma, Hannes
Aquaculture, fish and fisheries : 1 (John Wiley & Sons, 2026)
Saprolegniosis, typically induced by oomycete Saprolegnia parasitica, is one of the most difficult pathogens in fish and other aquatic animals in freshwater systems. It is especially harmful for the endangered species landlocked salmon (Salmo salar m. sebago). Currently, there are only few alternatives to prevent and treat saprolegniosis occurrences, which can lead to major fish deaths and financial losses at fish farms. In this study, surface-modified cellulose materials were used at an experimental flow-through fish farm rearing landlocked salmon, which often suffers from saprolegniosis occurrences. The results showed that the material's cationic surfaces were able to capture the spores of S. parasitica (experimental part I and part II). The cellulose material was chemically modified with a high density of cationic quaternary ammonium groups, which performed better than a material with a weak cationic charge by amino groups obtained via physisorption of chitosan on the surface, resulting in fewer S. parasitica spores in the rearing tank water (experimental part I). The results are promising and offer a novel method for controlling saprolegniosis occurrences without harmful chemicals. However, certain environmental conditions (in experimental part II) inhibited the detection method (real-time quantitative polymerase chain reaction) used for the detection of S. parasitica. This highlights the need for further method development for the detection of S. parasitica. Overall, the results are promising in terms of reducing S. parasitica spores in rearing water and further controlling saprolegniosis occurrences. More process optimization is required to achieve the method's full potential in industrial scale processes.