Luke

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.

Viimeksi tallennetut

  • Optimising rare tree species detection for large-area mapping : a case study on European aspen (Populus tremula)
    Hardenbol, Alwin A.; Ørka, Hans Ole; Gobakken, Terje; Kostensalo, Joel
    Silva fennica : 3 (Suomen metsätieteellinen seura, 2026)
    Some locally rare tree species – like European aspen (Populus tremula L.) – contribute disproportionately to forest biodiversity, making their accurate monitoring important for conservation. However, most remote sensing studies of rare tree species ignore their low prevalence/base rate, necessary for model transferability. We aimed to assess European aspen classification under realistic landscape prevalence and find methods to improve classification performance. Across 253 plots from field data in Våler, Norway we detected and segmented 5455 living trees, including 55 European aspens (ca. 1% prevalence), from high-density airborne laser scanning (ALS) data merged with multispectral aerial imagery. Individual segments were then classified as European aspen or non-aspen using random forest and synthetic minority oversampling (SMOTE). We evaluated classification based on tree counts and summed tree volumes. To underpin the importance of prevalence consideration and compare our results, we also re-analysed published Fennoscandian European aspen classification studies. Contrary to a perfect balance, we found an optimal SMOTE-ratio at ca. 0.07 (European aspen–non-aspen ratio). Our count-based classification achieved 32% (16–52) false discovery rate (FDR) and 73% (60–83) false negative rate (FNR), whereas volume-based classification achieved 31% (11–51) FDR and 54% (38–71) FNR. Re-analysed studies averaged 66% FDR and 33% FNR at a 1% prevalence. Our results demonstrate that rare tree species classification benefits from optimising majority–minority ratios and, given the ecological value of larger trees, volume-based approaches are warranted. Finally, we urge reporting landscape prevalence and adjust classification metrics to reflect these to enable transferability to real-world applications in rare tree species classification.
  • Riittääkö meillä kotimaista naudanlihaa?
    Huuskonen, Arto; Huhtanen, Pekka; Manni, Katariina
    Nauta : 4 (Suomen kotieläinjalostusosuuskunta, 2026)
    Suomessa on mahdollista tuottaa nykyistä kulutustamme vastaava naudanlihamäärä joko alentamalla lypsylehmien maitotuotostasoa ja lisäämällä lehmien määrää tai lisäämällä emolehmien määrää nykyisellä lypsylehmien tuotostasolla. Tämänhetkistä kotimaista naudanlihan kulutusta, noin 95 miljoonaa kiloa, vastaava tuotantomäärä vaatisi 11 000 kilon maitotuotostasolla 94 000 emolehmää ja 12 000 kg:n tuotostasolla 110 000 emolehmää.
  • Effects of healthy diets on production and land use in Finnish agriculture and implied greenhouse gas emissions until 2045
    Lehtonen, Heikki Sakari; Saarinen, Merja; Kyttä, Venla
    Agricultural and food science (Scientific Agricultural Society of Finland, 2026)
  • The glacial theorist Louis Agassiz and the parable of the sunfish
    Helama, Samuli
    Geologi : 3 (Suomen geologinen seura, 2026)
  • Natural variation in circadian period is associated with diverse phenological measures in Boechera stricta
    McMinn, Rob; Salmela, Matti J; Weinig, Cynthia
    Annals of botany : 4 (Oxford University Press, 2026)