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

  • Ohjauskeinot ravinteiden kierrätyksen edistämiseen
    Luostarinen, Sari; Valve, Helena; Niskanen, Olli; Nylén, Erkki-Jussi; Salminen, Jani; Sillasto, Eero; Tampio, Elina; Valtiala, Juho
    Valtioneuvoston selvitys- ja tutkimustoiminnan julkaisusarja : 7 (Valtioneuvoston kanslia, 2026)
  • Samodling bromsar skadegörare utan växtskyddmedel
    Nissinen, Anne
    Trädgårdsnytt : 4 (Svenska trädgårdsförbundet, 2026)
  • MaxEnt projections of climate-driven distribution shifts for Daphniphyllum calycinum in China
    Xiang, Yangzhou; Li, Suhang; Yang, Qiong; Liu, Ying; Yao, Bin; Dong, Huilin; Li, Yuan
    Ecology and evolution : 8 (Wiley-Blackwell, 2026)
    Understanding how climate change impacts species distribution is crucial for conservation and sustainable resource use. This study projects the distribution shifts of Daphniphyllum calycinum Benth., an ecologically and medicinally important tree species in China, under future climate scenarios using an optimized Maximum Entropy (MaxEnt) model. By integrating 323 occurrence records with 10 environmental variables, we applied a rigorous parameter optimization framework using the ENMeval R package to select optimal settings (regularization multiplier = 2.0, feature classes = HPT), thereby reducing overfitting and improving model transferability. The optimized MaxEnt model achieved high predictive accuracy (AUC = 0.959, TSS = 0.8). Annual mean temperature (Bio1, 35.7%), precipitation of the driest month (Bio14, 33.7%), and annual precipitation (Bio12, 23.7%) were identified as the dominant environmental drivers influencing species distribution. Under current climate conditions, the total suitable habitat covers approximately 110.28 × 104 km2, primarily in southern China. Future projections under three Shared Socioeconomic Pathway (SSP) scenarios (SSP126, SSP370, SSP585) for the 2050s-2090s indicate a potential expansion of suitable habitat, with the largest gain under SSP585 (i.e., expanding to 161.64 × 104 km2 by the 2050s, representing a 46.6% increase relative to the current area). However, this net expansion is accompanied by localized habitat loss and, under certain scenarios, a declining proportion of highly suitable areas, revealing nuanced climate vulnerability. The distribution centroid is projected to shift northwestward by 96–140 km by the 2050s across scenarios, indicating a range shift toward higher latitudes and altitudes. Despite this overall expansion, localized habitat loss under higher emission scenarios reveals climate vulnerability, underscoring the need for proactive conservation in contraction zones. By integrating optimized model parameters with multi-scenario future projections, this study provides a robust methodological framework and offers spatially explicit guidance for prioritizing in situ conservation and sustainable cultivation of this valuable species under climate change.
  • From tree-wise monitoring to action: a digital forest carbon twin framework for forest carbon MRV and climate-smart forest management
    Lopatin, Evgeny; Pitkänen, Timo P.; Sikanen, Lauri
    Environmental challenges (Elsevier, 2026)
    Forests are increasingly expected to deliver climate mitigation together with productivity, resilience, and biodiversity outcomes, yet forest carbon monitoring, reporting, and verification (MRV) remain constrained by fragmented data workflows, weak traceability, and limited links between measurement and management action. This conceptual framework paper defines the Digital Forest Carbon Twin (DFCT) as a carbon-specialized digital twin whose minimum operational condition is a persistent tree-wise state that is repeatedly updated by observations and models. From this state, carbon accounting, uncertainty propagation, verification evidence, and decision support are generated through one versioned architecture. We propose a six-layer framework covering data acquisition, processing and integration, tree-wise state and carbon, MRV, decision support, and stakeholder/governance interfaces. The framework is operationalized through an auditor-facing verification workflow, a protocol-harmonization strategy, and a maturity pathway from pilot implementation to a scaled platform. An illustrative pilot in the City of Joensuu, Finland, demonstrates how ground laser scanning, UAV data, field measurements, tree-object reconstruction, and web visualization can be connected within one implementation pathway; the pilot is presented as evidence of integration feasibility rather than as a completed validation of carbon-accounting accuracy. Comparison with conventional inventories, remote-sensing workflows, MRV systems, generic digital twins, and decision-support systems shows that the defining DFCT features are persistent tree identities, versioned state updating, explicit uncertainty, reproducible lineage, and shared monitoring-to-action logic. The framework provides a practical research agenda for interoperable, verifier-ready, and climate-smart forest management systems.
  • The effects of prescribed burning on vegetation growth in Pinus yunnanensis forests
    Xu, Yunting; Zhang, Zihan; You, Chengming; Song, Ting; Xing, Jinmei; Gao, Wuchao; Li, Yuan; Lopatin, Evgeny; Dai, Dachuan; Cui, Xinglei
    New forests : 5 (Springer Nature, 2026)