Luke
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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.

Kokoelmat

Viimeksi tallennetut

  • Chapter 6 : Lifelong learning through AKIS
    Tamsalu, Hanna; Lahnamäki-Kivelä, Susanna; Verbackel, Doreen; Gibson, Mark; Grodzka, Ewa; Sylvain, Sturel (European commission, 2026)
  • On the Limits of Taylor’s Hypothesis in Forest Clear-Cut Flow: Effects of Random Sweeping and an Elliptic Model Analysis
    Chowdhuri, Subharthi; Mammarella, Ivan; Peltola, Olli
    Journal of the atmospheric sciences : 9 (American Meteorological Society, 2026)
    Taylor’s hypothesis (TH) converts temporal observations to spatial information of the flow while carrying out measurements on a micrometeorological tower. Other than TH, there exists a more general elliptic model, which converts time to space by focusing on the geometry of the space–time correlation function. In the elliptic model, TH is recovered when the space–time correlation functions are straight lines, and when TH is invalid, they are approximated as elliptic curves. To test whether TH or an elliptic model was appropriate for a highly heterogeneous forest clear-cut flow, we examined the geometry of the space–time correlation function of temperature by using an extensive distributed temperature sensing (DTS) dataset collected during daytime convective conditions at a height of 3.1 m above the clearing. This was complemented with an eddy covariance (EC) dataset that measured the turbulence characteristics. When the mean wind was parallel to a nearby forest edge, the DTS-derived space–time correlation function of temperature fluctuations resembled elliptic curves, rather than straight lines as predicted by TH. Due to large turbulence intensities, the curvatures in the space–time correlation contours were caused by the random sweeping events associated with large-scale eddies that invalidated the frozen turbulence assumption in TH. The velocity scale of these sweeping events correlated with the turbulence kinetic energy of the clear-cut flow, thereby lending support to the random sweeping hypothesis. Upon converting time to space through an elliptic and TH-based scaling, our results demonstrated that both temporal DTS and EC temperature measurements were impacted by the random sweeping events.
  • Omenatarhan vartijat löytyvät lähimetsästä
    Nissinen, Anne; Shameer, K. S.; Bitz, oliver; Latvala, Satu; Lindqvist, Isa; Tuovinen, Tuomo; Himanen, Sari; Ojanen, Hannu; Hardy, Ian C. W.
    Luomulehti : 3 (Luomu-Liitto, 2026)
  • Monimuotoisuudesta arvonlisää luomumarjatilalle
    Nissinen, Anne; Himanen, Sari
    Puutarha & kauppa : 5 (Kauppapuutarhaliitto, 2026)
  • Rethinking phenotypic evaluation in plant genetic resources: Environmental mismatch as a hidden source of bias
    Khazaei, Hamid; Ortiz, Rodomiro
    Plant genetic resources (Cambridge University Press, 2026)
    The evaluation of plant genetic resources underpins crop improvement and adaptation. However, current phenotypic screening approaches, whether conducted in controlled environments or limited-location field trials, often expose diverse germplasm to standardized growing conditions that do not reflect their ecological origins. This leads to systematic bias in trait evaluation, particularly for adaptive traits shaped by local environments. Genotypes may be incorrectly rated as inferior when assessed outside their optimal growing conditions, leading to underutilization of valuable genetic diversity. Here, we argue that environmental mismatch represents a fundamental limitation in plant genetic resource screening. Drawing on evidence from genotype by environment interactions, phenotyping research and ecological genomics, we highlight how current practices can misrepresent adaptive potential. We propose a shift towards environment-aware phenotyping frameworks that incorporate ecological context, genomics, multi-environment testing and reaction-norm approaches. Addressing this issue is critical for unlocking the full value of plant genetic resources in the face of changing agro-ecological conditions and practices.