Luke
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Jukuri

Tervetuloa käyttämään Jukuria, Luonnonvarakeskuksen (Luke) avointa julkaisuarkistoa. Jukurissa on tiedot Luken julkaisutuotannosta. Osa julkaisuista on vapaasti ladattavissa. Luken muodostaneiden tutkimuslaitosten aikaisemmasta julkaisutuotannosta osan tiedot ovat järjestelmässä jo nyt ja kattavuus paranee jatkuvasti.

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Viimeksi tallennetut

  • Mutagenicity screening of selected water-based dispersions and materials utilized in cardboard and wood coatings using the standard and 384-well Ames tests
    Lyijynen, Isa; Hälikkä, Heidi; Koppolu, Rajesh; Korpinen, Risto; Berg, Viivi; Korhonen, Jenni; Lappalainen, Reijo
    Applied sciences : 10 (MDPI, 2026)
    Novel biobased materials and processing techniques are actively developed for sustainable coatings. This study investigated the potential mutagenicity of novel materials and derived dispersions used for biobased paper and wood coatings using a pilot 384-well test. The standard Ames test was performed for selected materials to compare and validate the results with the non-standard 384-well test. Salmonella Typhimurium strains (TA100 and TA98) were used for testing. Experimental dispersions were prepared using suberin and betulin extracted from outer birch bark. The test set of seven samples (n = 7) included commercial reference samples and additives. Both test methods were suitable for these samples but also highlighted method-specific differences and challenges. For suberin-derived materials and betulin at 0.5–1% concentration, neither of the tests indicated mutagenicity. In the case of some industrial samples, the 384-well test and the standard Ames test gave clearly contradictory results. These can be explained by the test limitations, such as the sample color or compositional instability of dispersions. To summarize, this study indicated the need to test the novel coating materials with multiple concentrations, and several bacterial strains carrying different types of genetic mutations, as well as to use complementary genotoxicity tests for a more accurate toxicity profile.
  • Drainage alters bacterial co-occurrence networks and net nitrogen mineralization rate in peatlands under different forest management regimes
    Li, Ning; Hu, Yunuo; Qu, Zhao-lei; Aaltonen, Heidi; Palviainen, Marjo; Laurén, Annamari; Berninger, Frank; Zhu, Xudan; Ojala, Anne; Huang, Lin; Sun, Hui; Pumpanen, Jukka
    Agriculture ecosystems and environment (Elsevier, 2026)
    Peatlands are crucial for maintaining ecological balance, supporting biodiversity, and regulating hydrological and biogeochemical cycles. However, extensive drainage for forestry and forest management practices has severely altered their carbon and nitrogen dynamics and microbial communities. This study evaluated the effects of peatland drainage and three forest management practices—clear-cutting, even-aged forest, and continuous cover forestry—on microbial biomass, soil nutrients and bacterial community structure. The results showed that soil microbial biomass carbon was unaffected by forest management or water table depth. However, in pristine peatland, soil microbial biomass nitrogen was influenced by water table depth. Compared with a low water table (-30 cm below the soil surface), the net nitrogen mineralization rate was significantly higher under a high water table (-10 cm below the soil surface). Bacterial diversity was influenced by forest management practices but unaffected by water table depth, with the highest diversity observed in pristine peatland. High water table enhanced the connectivity and complexity of bacterial co-occurrence networks. Soil characteristics (NH₄⁺–N, DOC, MBN, net N mineralization rate, and MBC) collectively explained 56.9% of the observed variation in bacterial community structure. Furthermore, bacterial community assembly processes shifted from stochastic processes in high-water-table peatland to deterministic processes in drained sites. This indicates that environmental filtering is intensified, potentially reducing ecosystem stability. These findings highlight the effects of forest management and hydrology on microbial biodiversity and function, providing a key scientific basis for the ecological restoration of degraded peatlands and sustainable forest management.
  • A multi-environment dataset consisting of official field trials for three major crops in the Nordic countries
    Aasen, Nora R.; Herrera-Foessel, Sybil A.; Vandeskog, Silius M.; Bengtsson, Therése; Dida, Mulatu G.; Drozdik, Isak; Dalmannsdottir, Sigridur; Gautason, Egill; Grodek, Jaroslaw S.; Hilmarsson, Hrannar S.; Högnäsbacka, Merja; Jäck, Ortrud; Kaseva, Janne; Laine, Antti; Lenkoski, Alex; Lillemo, Morten; Lin, Min; Lundby, Anne Marthe; Mohammadi, Shirin; Møllerhagen, Per J.; Niskanen, Markku; Ortiz, Rodomiro; Skalshøi, Maxie; Þórðardóttir, Anna G.; Thorkildsen, Maria; undefined, undefined; Jäck, Ortrud; Krusell, Lene; Robertsen, Charlotte D.; Manninen, Outi; Haikka, Hanna; Isolahti, Mika; Sarup, Pernille M.; Jahoor, Ahmed; Alsheikh, Muath; Jensen, Constantin; Amdahl, Helga; Windju, Susanne
    Scientific data : 1 (Springer Nature, 2026)
    Climate change will substantially impact agriculture, requiring the development of new crop cultivars adapted for resilience to future stresses. Developing a new crop cultivar is a decades-long process. Therefore climate change considerations must already be incorporated into breeding programs. National breeding programs have typically involved field trials in a single country, which has functioned satisfactorily during periods of stable climate variability. However, it is widely acknowledged that when field trial information across borders is made available, it can significantly aid plant breeding programs. This paper presents a pan-Nordic multi-environment dataset that consolidates national trial data and data from VCU (Value for Cultivation and Use) trials for spring barley, red clover, and potato, during 1970–2024. The dataset harmonizes information on yield across diverse environments, enabling comparative analyses and cross-regional assessments. By providing a unified resource for the Nordic region, this dataset supports the development of more resilient crop varieties and facilitates data-driven breeding strategies under changing climatic conditions.
  • The psychological effects of Scots pine (Pinus sylvestris) wood scent, virtual wooden walls, and their combined stimuli on humans
    Jyske, Tuula; Kutvonen, Valtteri; Kaseva, Janne; Kurkilahti, Mika; Hellén, Heidi; Tykkä, Toni; Rosenborg, Emilia; George, Madli; Tkalčan, Saša; Kauppi, Jutta
    Journal of environmental psychology (Academic Press, 2026)
    Wood construction uses forest biomass effectively and stores carbon. As a biophilic material, wood provides wellbeing benefits; however, its sensory properties, particularly those of Scots pine (Pinus sylvestris), one of the most commonly used wood species in construction, remain under-researched. A study involving 50 participants examined the effects of wood scent and visual stimuli on wellbeing. Participants visited a control room and rooms featuring scent, virtual walls, or both, completing tests and questionnaires. The results indicated that virtual walls combined with wood scent significantly reduced stress and enhanced restoration, with a mean Restoration Outcome Scale (ROS) score 0.47 points higher than the control and 0.30 points higher than with scent alone. There is a 96 % and 92 % confidence that ROS values are greater with both stimuli. While no significant difference was found between single stimuli, there is a 92 % certainty that ROS is higher with virtual walls compared to the control. These findings suggest that wooden virtual environments and wood scent could support cognitive training and emotional regulation. However, further research is needed to explore long-term effects and optimal stimulus levels.
  • Unlocking crop protection models for decision support: web infrastructure and integration
    Huitu, Hanna; Skog, Tor-Einar; Pradal, Christophe; Calatayud, Antonio; Skaslien, Tor; Linnestad, Brita; Ronkainen, Ari; Fournier, Christian; Labadie, Marc; Skirvin, Dave; Pastell, Matti; Melchior, David; Langvatn, Johannes Tobiassen; Nordskog, Berit
    in silico Plants : 1 (Oxford University Press (OUP), 2026)
    Decision support systems (DSS) in crop protection provide valuable support for pest risk prognosis and recommendations for pest control, enabling farmers to make better-informed decisions. As a part of the European Union’s strategy for the sustainable use of plant protection products, the “IPM Decisions” project developed an online platform that gives farmers and advisors access to a wide range of DSS for major pests, weeds, and diseases in a variety of crops across Europe. Multiple DSS models relevant for different crops and geographical regions of Europe were selected for integration in the platform. Information on the models is compiled into a model catalogue, which serves as a core component of the IPM Decisions platform. To facilitate the use of these models, two application programming interfaces (APIs) were developed. In line with the FAIR (findable, accessible, interoperable, and reusable) principles, the DSS API provides access to models and their metadata, including descriptions of input and output parameters. The weather API enables access to European online weather data sources and adapts this data to meet the requirements of DSS models. While these APIs are integrated into the IPM decisions platform, they are also open source, allowing other crop protection and farm management software to inspect, download, modify, install, run, and use them. In this article, we describe the development of the DSS and weather APIs, outline their structure and definitions, and present the services that DSS API and weather API provide. Finally, we demonstrate their application through three practical use cases.