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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

  • 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.
  • Drivers of primary bark beetle (Coleoptera: Curculionidae, Scolytinae) infestations in even-aged, uneven-aged, and unmanaged Norway spruce forests in central Sweden
    Rönnqvist, Ida; Felton, Adam; Felton, Annika M.; Sjögren, Jörgen; Klapwijk, Maartje; Koivula, Matti; Hekkala, Anne-Maarit
    Forest ecology and management (Elsevier, 2026)
    Bark beetle outbreaks are an increasingly important disturbance in boreal forests, yet empirical evidence is limited on how management systems influence stand- and tree-level susceptibility to bark beetle infestation. We quantified infestation patterns of Ips typographus, Pityogenes chalcographus, and Polygraphus spp. across 29 spruce-dominated forest stands in central Sweden representing mature even-aged, uneven-aged, and unmanaged forests. Using GLMs and GLMMs, we evaluated how management type, stand structure, and tree characteristics influenced stand- and tree-level infestation probability. Stand-level predictors provided limited support for explaining infestation probability. For I. typographus and Polygraphus spp. the measured stand-level variables did not explain infestation probability better than intercept-only models. In contrast, P. chalcographus showed a more consistent stand-level response, with infestation probability decreasing with increasing spruce density. At the tree level, both I. typographus and P. chalcographus showed higher infestation probability in even-aged stands, independent of diameter, sun exposure, and tree condition. Ips typographus preferentially colonized larger and more sun-exposed trees, whereas P. chalcographus favoured smaller trees. Polygraphus spp. showed no detectable response to tree size or sun-exposure. Our results suggest that, under endemic conditions, bark beetle infestation could not be inferred from management category alone. Instead, infestation probability depended on beetle species and was more clearly related to individual host-tree characteristics than to broad stand-level differences among management types.
  • Can forest management inventory support national forest inventory to improve the municipal-level estimation of timber volume?
    Räty, Janne; Kukkonen, Mikko; Kangas, Annika; Strunk, Jacob; Mäkipää, Raisa; Packalen, Petteri
    Canadian journal of forest research-revue canadienne de recherche forestiere (National Research Council Canada, 2026)
    National forest inventories (NFIs) provide unbiased statistics for forest resource monitoring. Since NFIs primarily target large areas, they are less effective for small areas, such as municipalities, due to low sampling intensity and precision. In Finland, forest management inventories (FMIs) provide stand-level information but are biased for domain-level estimations. We evaluated a model-assisted estimator that used NFI plots integrated with FMI plots for municipal-level estimations. We used linear and tree-boosting models in 619 synthetic municipalities. The assisting models had a fixed set of nine predictor variables extracted from aerial image-based point clouds and Sentinel-2 images. Our findings indicated that the assisting models that used FMI field plots did not show improved efficiency over models fitted with the NFI plots in the 20 km buffer zone that surrounded the municipality of interest. The model-assisted estimators explained 66%–69% of the variation of the NFI field data-based mean estimates. A modest improvement was feasible by fitting a model that used both NFI and FMI plots, although the marginal precision improvements achieved and the additional effort required to harmonize the FMI plots with the NFI plots was not justified.
  • Assessing the transferability of airborne laser scanning based models for predicting natural forest attributes
    Maltamo, Matti; Keskinen, Rosita; Packalen, Petteri; Vastaranta, Mikko; Hyyppä, Juha; Räty, Janne; Korhonen, Lauri
    Baltic forestry : 1 (Institute of Forestry, Lithuanian Research Centre for Agriculture and Forestry, 2026)
    Natural forest areas which have usually been unmanaged already several decades are often small and isolated from one another. The performance of airborne laser scanning (ALS) based management forest inventory in natural forests is unknown, since ALS inventories are typically based on field reference data from managed forests. The aims of the study were to (1) Develop ALS based linear regression models for predicting forest attributes in natural forests, and (2) Assess how reliably such models can be applied across different inventory areas. The forest attributes considered were growing stock volume (m3 ha–1), volume of standing dead wood (m3 ha–1), number of stems (ha–1), dominant height (m), and structural complexity by Gini coefficient (0–1). The inventory areas were located in Southern and Eastern Finland. Data from four inventory areas were used in model development, and sample plots measured from even-aged forest area and continuous-cover forest area were used for validation. The point densities of ALS data in the inventory areas varied between 4 and 13 m–2, and the number of plots in the field datasets ranged from 14 to 148. Linear regression models were fitted with field measured plot attributes as responses and two ALS features as predictors. A total of 25 forest variable models were constructed, and 150 model predictions were made. Analyses were conducted separately for each natural forest data set, but general models fusing all natural forest data sets were also constructed. The models' performances in transfers across inventory areas were quantified with relative root mean square error (rRMSE) and bias rBias values. The accuracies of the models in their fitting datasets were in line with the previous studies. In terms of the transferability, the performance of the models was modest. On average, the rRMSE doubled and rBias increased considerably in the transfer. On average, the rRMSE increased by 9% for growing stock volume, 190% for dead wood volume, 31% for number of stems, 6% for dominant height, and 9% for Gini coefficient. If the obtained accuracy of growing stock attributes were acceptable for natural forest inventory, one could rely on model transfer or the use of general models.
  • Editorial of the special issue: anthropogenic impacts on land degradation in a changing world
    Schillaci, Calogero; Li, Yuan; Li, Zhou; Daldegan, Gabriel Antunes; Lopez‐Carr, David; Pricope, Narcisa G.
    Land degradation and development : 13 (John Wiley & Sons, 2026)