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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

  • Cultivation of aerobic hydrogen-oxidizing bacteria on CO2 derived from anaerobic digestion and acid fermentation
    Jämsä, Tytti; Tynkkynen, Milla; Vainio, Markku; Kajolinna, Tuula; Rasi, Saija; Nyyssölä, Antti
    Bioresource technology (Elsevier, 2026)
    Aerobic hydrogen-oxidizing bacteria (HOB) are promising hosts for converting carbon dioxide (CO2) into biomass and value-added products. However, using biogenic CO2 derived from anaerobic digestion or acid fermentation remains underexplored, particularly regarding the impact of associated impurities on HOB growth. In this study, CO2-rich gas streams from these sources were evaluated as carbon feedstocks for Cupriavidus necator and Xanthobacter autotrophicus. Gas compositions and impurities were analyzed, and minimum inhibitory concentrations (MIC) for typical impurities (H2S, ammonia, trimethylsilanol, and limonene) were determined. The results show that the MIC for the chosen impurities were relatively high, and HOB growth on biogenic CO2 was comparable to growth on pure CO2, indicating that gas purification is not required. Furthermore, bioreactor cultivations demonstrated that biogas-derived CO2 supports polyhydroxybutyrate (PHB) production at levels comparable to pure CO2. These findings suggest that CO2 derived from anaerobic digestion and acid fermentation are viable feedstocks for industrial HOB-based production, while providing new insights into impurity tolerance.
  • Searching for sustainable national forest harvest levels through interactive multiobjective optimization
    Saini, Bhupinder Singh; Kangas, Annika; Mehtätalo, Lauri; Hirvelä, Hannu; Shavazipour, Babooshka; Miettinen, Kaisa
    Canadian journal of forest research-revue canadienne de recherche forestiere (National Research Council Canada, 2026)
  • Prediction of LAI in Scots Pine Forests of Türkiye Using UAV and Sentinel 2 Images
    Aksoy, Hasan; Kangas, Annika; Packalen, Petteri; Korhonen, Lauri; Günlü, Alkan
    Transactions in GIS : 3 (John Wiley & Sons, 2026)
    Monitoring the structural characteristics of vegetation cover is critical for understanding ecosystem functioning and sustainable forest management. Effective Leaf area index (LAIe) is directly related to photosynthetic capacity, carbon cycle, and water balance of ecosystems. In this study, LAIe prediction was performed using random forest algorithms with five different datasets obtained from unmanned aerial vehicle (UAV) images and Sentinel 2 (S2) satellite images. The study aimed to (1) determine which UAV features perform best in the prediction of LAIe, and (2) to compare prediction accuracies obtained while using UAV and S2 features. To evaluate the contribution of different data sources, five datasets were considered, namely UAV_RGB (DS1), UAV_3D (DS2), UAV_ALL (DS3), S2 (DS4), and ALL (DS5), with corresponding RMSE% values of approximately 27.3, 29.6, 24.4, 32.1, and 24.8, respectively. The results showed that the DS3 dataset provided the highest accuracy and the most balanced error distribution. The DS5 resulted in more stable prediction performance compared to individual datasets, enabling the model to demonstrate similar accuracy levels for both low and high LAIe values. We conclude that low-cost UAV-RGB data, utilizing both 3D and 2D features, is an effective alternative to high-cost remote sensing techniques for LAIe prediction.
  • Planning for bark beetle disturbance in production forests: A regional forest optimization case study in Norway
    Eyvindson, Kyle; Strîmbu, Victor F.; Romeiro, Joyce; Eid, Tron; Kangas, Annika
    Trees, forests and people (Elsevier, 2026)
    Increasing disturbance pressure from the spruce bark beetle (Ips typographus) challenges the reliability of timber supply in managed boreal forests. This study evaluates alternative optimization approaches for integrating bark beetle damage into regional forest planning in southern Norway. Using a simulation and optimization process, we compare three alternative optimization approaches: (i) deterministic linear programming ignoring disturbance risk, (ii) robust optimization protecting even-flow constraints against income variability, and (iii) stochastic programming using probabilistic disturbance scenarios. Two planning objectives were examined: maximizing the net present value (NPV) alone, and maximizing NPV subject to a minimum periodic timber harvest requirement. When only NPV was maximized, differences among the solutions were minor. The stochastic solution yielded a slightly higher expected NPV (0.1%) through earlier harvesting. Approximately 22% of deterministic scenarios outperformed the stochastic solution, highlighting the limited economic gains when focused on a purely financial objective. When prioritizing a targeted periodic timber supply the deterministic solution resulted in systematic harvest shortfalls under realized disturbances while the robust solution reduced shortfalls by increasing periodic harvests. The stochastic formulation substantially improved supply reliability, reducing expected harvest shortfalls from 1.9% (deterministic) and 1.1% (robust) to nearly 0% for the stochastic solution, albeit with a moderate reduction in the expected NPV. Results demonstrate that the value of incorporating disturbance uncertainty depends on management objectives. While economic efficiency alone provides limited incentive for risk integration, maintaining stable timber supply under increasing disturbance pressure benefits substantially from stochastic planning approaches.
  • Bringing in the citizen : Stakeholder participation in co-production processes of sustainable housing
    Ahtosalo, Hanna; Harju, Charlotta; Kylkilahti, Eliisa; Lukkarinen, Jani; Lähtinen, Katja; Syrjälä, Henna
    Ambio : 9 (Springer Nature, 2026)
    Incorporating citizen views through stakeholder engagement enhances the democratic and equitable governance of sustainability transitions. Using stakeholder theory as a conceptual frame, this study evaluates the use of different stakeholder participation processes to co-produce solutions for more sustainable housing in Finland. This study examines how citizens are positioned, levels of participation, and factors affecting success. Data were collected in three participatory processes: a service design process, a hackathon, and transition arenas, which sought to improve citizens’ opportunities for more sustainable housing. Our results show that citizens were positioned differently across the stakeholder processes. Although all processes aimed for high levels of participation—such as collaboration and empowerment—the achieved levels varied and, in some cases, remained limited. Moreover, several contextual, organizational, and process-related factors influenced the outcomes and shaped how participating stakeholders perceived citizens’ views. Addressing these challenges is crucial when selecting participatory methods for research, planning, and policy.