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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

Biobased binder formulation for screen printing cellulosic textiles with sea buckthorn-derived natural dyes
Sharma, Ritesh; Herrala, Mikko; Tienaho, Jenni; Haapala, Riikka; Rysä, Jaana; Tehrani-Bagha, Ali; Nousiainen, Paula
Progress in organic coatings (Elsevier, 2027)
The growing demand for sustainable textile manufacturing has intensified the search for renewable alternatives to petroleum-based dyes and binders used in textile printing. However, the industrial adoption of natural dyes remains limited by poor dye fixation, inadequate durability, and the lack of bio-based binder systems capable of delivering high printing performance. In this study, a bio-based, water-borne printing paste was developed by combining a chitosan–cationic starch binder with a natural dye extracted from sea buckthorn pomace, an agricultural by-product, for screen printing of cellulosic textiles. The formulation was optimized using zeta potential, quartz crystal microbalance with dissipation (QCM-D), and rheological analyses to understand dye–binder interactions and establish suitable printing conditions. At 3% dye concentration, the biobased paste produced uniform prints with approximately twice the color strength of the commercial polyurethane-based binder (K/S = 3.07 vs. 1.53). The printed textiles also demonstrated good wash, rub, and perspiration fastness, with tactile comfort comparable to that of the commercial system. In addition, the bio-based formulation exhibited antimicrobial activity against Escherichia coli and Staphylococcus aureus, which was retained in the printed textiles after washing. The sea buckthorn dye showed no skin-sensitizing potential under the tested conditions, while cytotoxicity and oxidative stress were observed only at high concentrations. Overall, this study demonstrates that agricultural waste-derived natural dyes, combined with a biobased binder, can produce durable, multifunctional, and skin-compatible printed textiles, offering a promising platform for biobased textile printing systems with natural dyes.
Habitat suitability and distribution of harbour and grey seals in the Baltic Sea region
Galatius, Anders; Teilmann, Jonas; Ahola, Markus P.; Carlsson, Anja M.; Dietz, Rune; Freitas, Carla; Helle, Inari; Jüssi, Ivar; Jüssi, Mart; Kunnasranta, Mervi; Olsen, Morten Tange; Carstensen, Jacob; van Beest, Floris M.
Marine ecology: progress series (Inter-Research Science Center, 2026)
The Baltic Sea region is impacted by pollution, noise, offshore construction, shipping, fisheries, eutrophication and climate change. Seals are important top predators here, but little is known about their at-sea distribution. Using satellite telemetry data from 90 harbour seals Phoca vitulina and 65 grey seals Halichoerus grypus together with haulout counts, we modelled habitat suitability and relative population densities across the region. We used generalized additive mixed models (GAMMs), incorporating a range of static and dynamic environmental variables. Habitat suitability of both species was positively related to proximity to haulouts, explaining 25-30% of the total deviance. Other important variables, explaining 2.5-6% of the deviance in habitat suitability, were increased wave exposure and colder sea surface temperature for harbour seals and wave exposure and higher sea bottom oxygen saturation for grey seals. Harbour seals showed a preference for more coastal habitats than grey seals. The analyses revealed an imbalance between habitat suitability and actual distribution, particularly for grey seals, where some areas with high suitability had low seal densities. This likely reflects the dramatic population fluctuations of seals in the area over recent centuries related to hunting and pollution. Overlap of suitable habitats between the species in the southern and western Baltic indicates interspecific competition that will likely increase as grey seals recolonise their previous range. Our study constitutes the first comprehensive analysis of seal distribution in the Baltic area and is a valuable tool for managers and ecologists assessing pressures and ecosystem interactions in an area where anthropogenic activities are increasing.
Advancing climate-smart forestry with an interactive decision-support tool that incorporates the preferences of private forest owners
Tahvanainen, Veera; Roponen, Juho; Saini, Bhupinder Singh; Pajasmaa, Juuso; Shavazipour, Babooshka; Ruiz, Francisco; Niemi, Mikko T.; Takala, Tuomo; Vauhkonen, Jari; Miettinen, Kaisa
Forest policy and economics (Elsevier, 2026)
We explored the potential of interactive multiobjective optimization for climate-smart forest management planning in privately owned forests. Through workshops with two groups of four forest owners each in Eastern Finland, we evaluated the influence of management preferences, information on climate-smart forestry practices, and monetary compensation on their decision-making process in a 20-year planning period. An interactive decision support tool enabled the analysis of trade-offs among different objectives and finding solutions that reflected the preferences of forest owners. In both groups, when informed of climate-smart forestry, the forest owners increased the amount of carbon stored in their forests compared to the initial planning stage, where carbon was not included as an objective. Interestingly, the approach of providing information increased carbon storage more than what could be achieved later by monetary compensation. Although these are preliminary findings, they may provide valuable insights for future research and practical applications in improving the climate-smartness of forestry. Practical recommendations: 1. Promote research and piloting towards information-based nudging. 2. Understand forest owners’ behavioral motivations in strategic planning and policy-making. 3. Distinguish between short-term and long-term effects in carbon compensation. 4. Deploy interactive decision support tools that enable multiobjective optimization.
Predicting forest inventory variables with remote sensing data : the role of number and locality of the training plots
Pitkänen, Timo P; Kangas, Annika; Myllymäki, Mari; Packalen, Petteri
Forestry : 4 (Oxford University Press, 2026)
Field measurements of national forest inventories (NFIs) and auxiliary data derived from remote sensing can be used to model forest inventory variables. Because NFI observations typically cover large areas, training data for modeling is often limited by the number and proximity of the available plots. Determining suitable thresholds for these, however, is complicated and depends on various factors. In this study, we examine how the number and locality of the NFI plots affect the modeling accuracy. With locality, we refer to the spatial proximity of the training plots to the target location, which is often considered a proxy of their representativeness. We used field measurements from the Finnish NFI, collected mainly from managed, conifer-dominated boreal forests, and modeled growing stock volumes and trees’ dominant heights with Sentinel-2 and airborne laser scanning (ALS) data. We then compared prediction errors derived from varying numbers of training plots and modeling attempts where we purposely excluded the nearby plots within a specific radius. As a special case of training plots’ representativeness, we also assessed if models estimated using ALS features were transferable over the production area borders, i.e. scanned with similar quality standards but at different times and using different scanners. Our results indicated that a set of 100 training plots could be regarded as the minimum preferred count regardless of the auxiliary data. Locality affected modeling bias, which increased when the exclusion radius was extended to 50 km or beyond. This bias connected particularly to models’ abilities for adapting to local conditions which resulted in regional under- and overestimates, but these effects were only mildly observable through global statistics over all the applied validation data. Differences between ALS production areas were generally small, but they varied by inventory variable and were more pronounced for features derived from first echoes than from last or all echoes.
From breeding to landscape : how genetic improvement and forest management shape multifunctionality in Norway
Vergarechea, M; Sevillano, I; Steffenrem, A; Ahtikoski, Anssi; Holmström, H; Anton-Fernandez, C
Journal of environmental management (Elsevier, 2026)
Balancing wood production, biodiversity, and climate regulation is increasingly challenging for forest management, particularly as societal demands intensify. Despite growing interest in genetic improvement to enhance forest productivity, its implications for multiple ecosystem services (FES) remain poorly quantified. To address this gap, we assessed how genetically improved regeneration material, combined with alternative management regimes, influences FES provision in Norway. Using National Forest Inventory data, a climate-sensitive single-tree simulator, and multi-objective optimization, we projected 100-year outcomes under three strategies: no genetic gain, growth-focused improvement, and combined improvement in growth and wood quality. The strongest responses occurred when genetic improvement targeted both growth and wood quality. Under this scenario, harvest net value increased, ecological hotspot areas expanded, and larger set-aside areas were maintained while meeting national harvest demands. Carbon storage in harvested wood products also increased, whereas carbon sequestration in living biomass showed no consistent trend. Genetic gain reinforced positive interactions between bioenergy and climate regulation but left most other FES relationships broadly unchanged. Varying genetic gain levels produced only minor differences across most indicators, suggesting that long-term outcomes depend more on how improved material is integrated within a flexible management portfolio than on the exact magnitude of genetic gain. Positive responses in the structural biodiversity indicators should be interpreted cautiously, as these proxies capture only a limited subset of ecological dimensions and likely underestimate broader biodiversity trade-offs. Overall, genetically improved material represents a complementary tool for enhancing forest multifunctionality when integrated with adaptive, landscape-scale management.