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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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The Fraction of Carbon in Soil Organic Matter as a National‐Scale Soil Process Indicator
Reinsch, Sabine; Lebron, Inma; de Jonge, Lis Wollesen; Weber, Peter L.; Norgaard, Trine; Arthur, Emmanuel; Gomes, Lucas; Pesch, Charles; Konstantinos, Karyotis; Zalidis, George; Epelde, Lur; Romic, Marija; Romic, Davor; Zovko, Monika; Reljic, Marko; Heikkinen, Jaakko; Feeney, Christopher; Bentley, Laura; Levy, Peter; Vanguelova, Elena; Panagos, Panos; Schneider, Florian; Ahrens, Bernhard; Leifeld, Jens; Hugelius, Gustaf; Emmett, Bridget A.; Cosby, Bernhard J.; Brentegani, Michele; Tandy, Susan; Thomas, Amy; van Soest, Maud A. J.; Robinson, David A.
Global change biology : 11 (Wiley-Blackwell, 2025)
Soil organic matter (SOM) is an important component of ecosystem carbon stocks. Generally, SOM found in mineral and organo-mineral soils can be categorised into two fractions: particulate organic matter (POM) and mineral-associated-organic matter (MAOM), both of which contain soil organic carbon (SOC). Understanding the relationship between SOC and SOM fractions provides insight into SOM decomposition and SOC storage potential. Here we show an intriguingly tight relationship between the fraction of SOC in SOM (denoted as fOC), habitat and soil physical properties, as well as SOC stored in POM and MAOM. This opens up new ways to predict spatial variations in the distribution of POC and MAOC using more widely available fOC data as a covariate. By compiling 14 datasets and 9503 measurements from across Europe and globally we analysed fOC across mineral and organic soils, which fell between 0.38 and 0.58, consistent with variation in carbon of major plant components. fOC followed a habitat gradient with lowest median values in Seagrass sediments (0.36 ± 0.09) and Permafrost habitats, followed by croplands (0.47 ± 0.08) and a maximum in semi-natural habitats (e.g., neutral, acid and calcareous grasslands) (0.56 ± 0.07), with differences between broadleaved (0.50 ± 0.087) and coniferous woodlands (0.53 ± 0.07) which were driven by overall organic matter content. The data show a tight link between vegetation carbon and the contents of SOC and SOM across various habitats, which could be used to inform agricultural soil management, improved land-use planning (e.g., woodlands), and tracking climate-related SOC targets.
Comparison of marginal and mixed-effects complementary log-log regression models for predicting planted silver birch mortality
Siipilehto, Jouni; Lee, Daesung
Ecological modelling (Elsevier, 2025)
Mortality is a key process in forest succession, yet modelling individual tree mortality presents significant challenges. In this study, tree mortality models for silver birch (Betula pendula Roth.) were developed to address these complexities. The modelling data comprised thinning trials for planted silver birch established between 1981 and 1991 in southern and central Finland. Thirteen experiments were established on former agricultural land and eight experiments were on forest land. The test data comprised planted silver birch stands of a spacing trial established on agricultural land in the early 1970s. The modelling options included four different types of models based on different random effect structures: a marginal model without random effects, a random site as RND_SITE, a random plot nested within the site designated as RND_PLOT(SITE), and a random year nested within the site designated as RND_YEAR(SITE) in a linear mixed-effects complementary log-log (CLL) regression. The CLL models were evaluated according to fit statistics, with the RND_YEAR(SITE) model demonstrating the best results. Furthermore, all mortality models were implemented into the MOTTI simulator to evaluate the development of planted silver birch stands in terms of stem number (N, trees ha−1) and stand basal area (G, m2 ha−1). In the MOTTI evaluation, unthinned stands were selected, and the data were divided into density groups: initially dense (N > 2000 trees ha−1), normal density stands (1000 trees ha−1 ≤ N ≤ 2000 trees ha−1), and sparse stands (N < 1000 trees ha−1). The independent dataset demonstrated optimal performance with the RND_YEAR(SITE) model. The current MOTTI model performed generally well but underestimated N and G for the normal density stands compared to the new model options. Finally, when examining the compatibility of the RND_YEAR(SITE) model with the existing and recently introduced stand self-thinning models, the recent model demonstrated high compatibility, while the existing model showed a clear underestimation.
Asuminen murroksessa : Arjen ehdoilla ympäristöystävällisiä valintoja
Harju, Charlotta (I‑Mediat Oy, 2025)
Soil biology, soil health and ecosystem services: an overview
Vazquez, Carmen; Mulder, Titia; Chavez Rodriguez, Luciana; David, Felix; Di Lonardo, Paolo; Garsia, Agata; Creamer, Rachel; Bünemann-König, Else; Soinne, Helena; Cheval, Penelope; Basile, Angelo; Bacq-Labreuil, Aurelie; Nordén, Jenni; Cunha, Luis; Imbert, C; Boix-Fayos, Carolina; Norton, Jeanette (toim.); Schimel, Josh (toim.); Lindo, Zoë (toim.)
Burleigh Dodds Series in Agricultural Science : 173 (Burleigh and Dodds science publishing, 2025)
Territorial governance of just transition? : A case study of Just Transition Fund (JTF) process in Finland
Weckroth, Mikko; Kull, Michael; Lempinen, Hanna
Regional studies : 1 (Taylor & Francis, 2025)
This study examines Finland’s planning of the EU’s Just Transition Fund (JTF), focusing on phasing out energy peat and its socioeconomic impacts. Despite Finland’s high governance capacity, significant challenges emerged in achieving distributive, procedural and recognitive justice. Through stakeholder interviews and policy analysis, the research highlights gaps in multilevel coordination, stakeholder inclusion and addressing socio-cultural dimensions of transition. The findings stress the need for synchronised policy timelines, clearer communication and place-sensitive approaches that recognise non-monetary place attachments. Recommendations include enhancing participatory governance and aligning national policies and funding with EU frameworks to ensure equitable and inclusive low-carbon transitions.