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Viimeksi tallennetut

Genomiset työkalut vauhdittavat pian mansikan jalostusta

Rehman, Attiq ur; Haikonen, Tuuli
Puutarha & kauppa : 1 (Puutarhaliitto, 2026)

Swift adjustment of biomass allocation strategies in Scots pine after thinning

de Castro Segtowich, Amanda; Langvall, Ola; Huuskonen, Saija; Fahlvik, Nils; Holmström, Emma
European journal of forest research : 3 (Springer Nature, 2025)

Our study aimed to evaluate the short-term effects of thinning in Scots pine (Pinus sylvestris L.) forests, with focus on above-ground biomass and allocation patterns within trees to compare between treatments. We have established four treatments: one control (unthinned), two moderate thinnings (from above and from below) and one heavy thinning from below, which were properly replicated across four blocks located at two sites in central Sweden. In addition to tree measurements in the field, we performed two destructive samplings, one before thinning in 2020 and another one three years after thinning (2023). We created above-ground biomass functions for each assessment and tree compartment, as well as leaf area and sapwood area functions, which were used for prediction of those variables for treatment effect comparisons on stand level. We found that, within three years after thinning, the dominant trees in the heavily thinned plots presented a significantly higher diameter at breast height (dbh) and leaf area increment, in addition to an increased leaf area-to-sapwood area ratio, than the control. These results indicate that Scots pine trees were able to quickly adjust their allocation strategies under intensive forest management, at least in the short-term, which further suggests that thinning can be a useful strategy in times of climate change and future extreme droughts, when adaptations would be necessary for retaining vital forests.

Yhteisöllinen taide luonnossa ja sisätiloissa - Kokeiluja yhteisöllisestä taidetyöskentelystä moninaisissa ryhmissä

Uusitalo, Marja; Sarkkinen, Sirja; Jokela, Laura; Seppälä, Leena
Pohjoisen tekijät : Lapin ammattikorkeakoulun julkaisuja (Lapin ammattikorkeakoulu, 2025)

SROI-analyysin soveltaminen yhteisötaiteen vaikutusten arvioitiin

Uusitalo, Marja; Seppälä, Leena; Jokela, Laura; Uusitalo, Marja (toim.); Sarkkinen, Sirja (toim.); Jokela, Laura (toim.); Seppälä, Leena (toim.)
Pohjoisen tekijät – Lapin ammattikorkeakoulun julkaisuja 33/2025 (Lapin ammattikorkeakoulu, 2025)

Identifying soil N2O sources by combining laboratory experiments with process-based models

Yan, Zhifeng; Chu, Zhaopei; Grosz, Balázs; Chang, Baoxuan; Shurpali, Narasinha; Liu, Gang; Li, Zhaolei; Zheng, Jinsen; Li, Si-liang; Butterbach-Bahl, Klaus
Biogeochemistry : 5 (Springer Nature, 2025)

Nitrification and denitrification are two important biological processes producing N2O in soils, but their contributions to N2O emissions are not well understood, hindering precise mitigationmeasures. Here, we developed process-based models (PBM) with and without transport (T) to partition N2O sources by tracking nitrogen flows (NF) through different reaction pathways. The model with transport (PBM-T-NF) well predicted N2O production from nitrification and denitrification in two different repacked soils with a shallow depth of 8 mm under moisture conditions ranging from 40 to 100% waterfilled pore space (WFPS), demonstrating its robustness and reliability. In comparison, the model without transport (PBM-NF) failed to capture the N2O dynamics and the relative contribution of denitrification to N2O production (CD), highlighting the need of including mass transport in predicting N2O dynamics. The PBM-T-NF model was further employed to investigate the effects of soil properties on N2O emissions and sources. Increased NH4+ concentration significantly decreased CD under relatively low moisture conditions, while increased NO3− slightly promoted CD over different moisture contents, emphasizing the importance of substrate availability and moisture conditions in controlling CD. Furthermore, the PBMT-NF model was used to quantify N2O sources from n artificial soil core of 80 mm depth. Soil depth was shown to be important in mediating CD by controlling O2 diffusivity, which is highly dependent on moisture content. Given the long-standing challenge in experimental quantification of N2O sources from soils, our developed model provides a novel way to estimate N2O production from different nitrogen processes, which is key for accurately targeting mitigation of N2O emissions from soils.