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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

  • Soil structure evolution after gypsum, structure lime and pulp mill sludge applications: The amendment type matters
    Hyväluoma, Jari; Ertem, Idil; Miettinen, Arttu; Kaseva, Janne; Soinne, Helena; Kinnunen, Sami; Harjupatana, Tero; Keskinen, Riikka
    Geoderma (Elsevier, 2026)
    Various soil amendments are used to improve soil structural stability against water erosion. Gypsum, structure lime and pulp mill sludges have all received interest in northern conditions and shown positive results in this respect. However, only a few studies have focused on the impacts of amendments on soil pore systems, particularly on their temporal dynamics under field conditions. In this study, we used X-ray tomography for time-lapse imaging of field-incubated soil samples to follow the structural dynamics of clay soil treated with gypsum, structure lime, or pulp mill sludge. Our results showed that gypsum and structure lime did not notably influence the macropore structure dynamics as compared to the non-treated control. In contrast, pulp mill sludge altered the macropore system significantly in comparison to control and two inorganic amendments. Pulp mill sludge increased the share of large macropores (>1200 µm), whereas the smaller macroporosity (<300 µm) temporarily decreased after the initiation of field incubation. After the first winter, the differences in this pore size region between the treatments levelled off. Our results show that, in addition to soil structural stability, soil amendments can influence the soil macropore system, but the magnitude and nature of these effects strongly depend on amendment type.
  • Marine and river fishing tourism in the Nordic region : Iceland, Norway, Sweden and Finland : Report prepared for the Nordic Council of Ministers
    Jónsdóttir, Guðrún Arndís; Gísladóttir, Lilja; Ahi, Jülide Ceren; Stage, Jesper; Pettersson, Maria; Johansson, Malin; Pokki, Heidi; Pellikka, Jani
    Nordic Forest Research (SNS) report / Report prepared for the Nordic Council of Ministers (Nordic Council of Ministers, 2025)
  • Integrating soil, weather, and lightweight deflectometer data for dynamic bearing-capacity estimates on forest roads
    Kostensalo, Joel; Anttila, Perttu; Hardenbol, Alwin; Väätäinen, Kari
    International journal of forest engineering (Taylor & Francis, 2026)
    Trafficable forest roads are vital for providing timber for the forest industry. Dynamic trafficability models for forest roads are needed, because many forest roads are trafficable for only some part of the year. We studied 10 road segments in eastern Finland during non-frozen periods, collecting E-modulus measurements using a lightweight deflectometer from 2023 to 2025. Approximately 15.1% of variation in bearing capacity was between road segments, 8.4% within road segments, and 76.5% was dynamic, indicating that the theoretical maximal performance of static models would be limited to explaining 23.5% of the variation. Prediction models were built utilizing weather station data and openly available soil type information on subsoils. We found that moving averages of ambient temperature and rainfall can capture dynamic variation in bearing capacity. Re-graveling and surface freezing increase the bearing capacity precipitously. Systematic differences between road segments can be captured by calibrating the models. We found robust evidence that two calibration measurements carried out at separate times significantly improve predictions, while additional measurements provide little to no value.
  • Superior functional outcome after femoral neck fracture for patients treated with total hip arthroplasty compared with internal fixation: a study of 132 patients
    Honkanen, Jukka; Frondelius, Eemil; Ekman, Elina; Kostensalo, Joel; Mäkelä, Keijo; Laaksonen, Inari
    Current orthopaedic practice (Lippincott, 2026)
  • Estimating stand metrics in mountainous temperate forests using UAS and satellite imagery: multiple linear regression or artificial neural networks?
    Aksoy, Hasan; Günlü, Alkan; Kostensalo, Joel
    European journal of remote sensing : 1 (Taylor & Francis, 2026)
    Economically and environmentally sustainable utilization of forest resources requires monitoring, but extensive field surveys require, and the deployment of high-quality LiDAR sensors is not always economically viable. However, optical imagery collected either by satellite or an unmanned aircraft system (UAS) is available even in remote areas. We predicted stand volume (V), dominant height (h dom), number of trees (N), basal area (BA) and quadratic mean diameter (dq), using images collected by Landsat 8 OLI (L8), Sentinel-1, Sentinel-2 (S2) and a UAS in natural pure Scots pine stands located in Northern Türkiye, which as a mountainous forested region presents a challenging test case. The stand metrics were modeled using multiple linear regression and artificial neural networks (ANNs) trained using Bayesian learning methods. Highest performance was found using L8 data for V (R2 = 0.84, logRMSE = 0.34) and S2 data for N (R2 = 0.70, logRMSE = 0.34), BA (R2 = 0.78, logRMSE = 0.31), h dom (R2 = 0.82, logRMSE = 0.19) and dq (R2 = 0.83, logRMSE = 0.07). The optimal orientation and window size varied depending on the stand characteristic. The ANN performed well for V (R2 = 0.83, logRMSE = 0.38), N (R2 = 0.81, RMSE = 0.34), BA (R2 = 0.84, logRMSE = 0.27), h dom (R2 = 0.71, logRMSE = 0.25) and dq (R2 = 0.89, logRMSE = 0.19). Stand metrics can be predicted in topographically challenging areas to a high accuracy using openly available satellite data.