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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

  • Dynamic quantification of methane emissions at facility scale using laser tomography : demonstration of a farm deployment
    Scheel, Kenneth; Vänskä, Elias; Weidmann, Damien; Ursin, Aku
    Atmospheric measurement techniques : 7 (Copernicus Publications, 2026)
    Detecting and quantifying greenhouse gas (GHG) emissions is essential for understanding global GHG budgets, updating emission inventories, and evaluating climate change mitigation efforts. Most anthropogenic emissions occur at the scale of facilities, and emission distribution in time and space relates to facility operations. This paper presents a novel GHG monitoring technique for facility-scale, dynamic emission quantification under complex wind conditions, referred to as laser dispersion tomography (LDT), which integrates laser dispersion spectroscopy (LDS) with Bayesian inversion methods. It uses sequential multi-beam open-path LDS measurements and wind data to infer dynamic GHG concentration and source maps at facility scale. In this work, the use of LDT for monitoring methane emissions in agriculture is demonstrated by deploying it on an operational farm. For this aim, computational methods used in data analysis of LDT are also further developed. Particularly, we introduce spatial constraints to the tomographic reconstruction based on prior knowledge on potential source locations – information often available in facility-scale GHG monitoring applications. We investigate numerically whether such constraints could improve the tolerance of LDT to misrepresentations induced by complex wind fields caused by building effects, and/or presence of interfering external emission sources, both highly likely to characterize a real-world farm environment. The results of numerical studies indicate that including spatial constraints reduces the uncertainty and improves the reliability of source quantification in such conditions, with one simulation case showing an average reduction in posterior uncertainty of 36.2 %. In the experimental study, dynamic emission patterns caused by various operations in the farm, such as slurry and dry manure management, are well captured, both temporally and spatially. The results support the feasibility of LDT as a tool for robust quantification of GHG mass emission rates at farms, especially when the spatial constraining of sources is possible. Owing to the fine spatial and temporal resolution of LDT, we foresee its use in improving GHG emission inventories through fine parametrization, and also its extension to other GHGs and other sectors contributing to global emissions.
  • Projecting the potential distribution of Setaria palmifolia in China in response to climate change
    Xiang, Yangzhou; Li, Suhang; Liu, Ying; Yang, Qiong; Zhang, Jinxin; Yao, Bin; Li, Yuan
    Environmental and sustainability indicators (Elsevier, 2026)
    Accurately predicting the potential distribution of Setaria palmifolia in China is crucial for assessing its climatic adaptability as a forage resource and for developing sustainable utilization strategies. This study systematically integrated 927 species distribution records while employing a comprehensive set of multidimensional environmental variables, including climate, topography, vegetation, and human activity. Using an optimized Maximum Entropy (MaxEnt) model, we simulated the potential geographic distribution of S. palmifolia under both current conditions and future scenarios (2050s, 2070s, 2090s) across three Shared Socioeconomic Pathways (SSP126, SSP370, SSP585). The results identified the key environmental factors influencing its distribution: precipitation of the warmest quarter, precipitation of the coldest quarter, and temperature diurnal range. These factors collectively contributed 93.4% to the model. Under current climatic conditions, the total potentially suitable habitat for S. palmifolia is approximately 177.22 × 104 km2, primarily concentrated in southern China. Future projections indicate that the total suitable area will remain relatively stable across all scenarios (ranging from 177.22 × 104 to 196.80 × 104 km2). However, its internal structure will undergo significant reorganization, with highly suitable habitat expanding from 12.20 × 104 km2 (current) to between 29.69 × 104 and 50.39 × 104 km2 depending on emission scenarios. By the 2070s, this expansion is projected to reach 35.80 × 104 to 50.39 × 104 km2. Meanwhile, the distribution centroid shows complex, non-linear migration trajectories. This internal suitability reorganization pattern suggests that S. palmifolia responds to climate change through local adaptation rather than simple range shifts. Our findings provide critical scientific evidence and spatial decision-support for regional introduction planning, priority conservation area identification, and climate change adaptive management of S. palmifolia as a forage resource.
  • Suomen Kalakirjasto : hiljainen monumentti suomalaiselle kalastuskulttuurille
    Savikko, Ari
    Bibliophilos : 1 (Bibliofiilien seura, 2026)
  • Karkuutettu kala : Miksi se jää mieleen
    Savikko, Ari
    Perhokalastus : 2 (Suomen urheilukalastajain liitto, 2026)
  • Whole genomes reveal subpopulations and isolation-by-distance patterns in the Norwegian lemming
    Feinauer, Isabelle Sofie; Ravasini, Francesco; Lagerholm, Vendela Kempe; Måsviken, Johannes; Olsen, Remi-Andre; Soler, Lucile; Proux-Wera, Estelle; Bunikis, Ignas; Lantz, Henrik; Lindblad-Toh, Kerstin; Ehrich, Dorothee; Ims, Rolf A.; Henttonen, Heikki; Eide, Nina E.; Flagstad, Øystein; Norén, Karin; Angerbjörn, Anders; Dalén, Love
    Bmc biology : 1 (BioMed Central, 2026)
    Background: The Norwegian lemming (Lemmus lemmus) is a small rodent endemic to the Fennoscandian alpine and arctic tundra. The species is known for cyclic population outbreaks and mass movements during peak years. Previous research based on microsatellites revealed high genetic variation but a weak population structure in the Norwegian lemming. Results: In this study, we revisit the population structure of the species using genome-wide data. To do this, we generated a high-quality de novo reference genome for Lemmus lemmus, and resequenced genomes to 2.5–5 × coverage, from 86 lemmings sampled across the species’ entire geographic distribution. Our results reveal that the population is geographically structured into distinct subpopulations, with an overall pattern characterised by isolation-by-distance among subpopulations. Furthermore, our results are consistent with earlier work suggesting that the species survived the last ice age within a northern refugium. Conclusions: Together, these findings provide a genome-wide perspective on today’s population structure of the Norwegian lemming. In addition, we provide a de novo reference genome, which we believe will be a valuable resource to the research community.