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4112 Metsätiede

Ylätieteenala(t)

Tieteenala 2010 » Lääke- ja terveystieteet » 411 Maa- ja metsätaloustieteet

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Airborne-laser-scanning-derived auxiliary information discriminating between broadleaf and conifer trees improves the accuracy of models for predicting timber volume in mixed and heterogeneously structured forests (2020) Bont, Leo Gallus; et al.; A1; OA

Browsing hinders the regeneration of broadleaved trees in uneven-aged forest management in southern Finland (2020) Komonen, Atte; et al.; A1

Chlorophyll Concentration Retrieval by Training Convolutional Neural Network for Stochastic Model of Leaf Optical Properties (SLOP) Inversion (2020) Annala, Leevi; et al.; A1; OA

Forest bioenergy harvesting changes carbon balance and risks biodiversity in boreal forest landscapes (2020) Repo, Anna; et al.; A1; OA

Long-term impacts of increased timber harvests on ecosystem services and biodiversity : A scenario study based on national forest inventory data (2020) Blattert, Clemens; et al.; A1

Metsät ja kulttuurinen kestävyys (2020) Paaskoski, Leena; et al.; C2; OA; 978-952-69018-4-8

Modeling of Dead Wood Potential Based on Tree Stand Data (2020) Mikkonen, Ninni; et al.; A1; OA

PEFC-metsäsertifioinnin vaikutusten arviointi kriteeristöluonnoksen kriteereistä 11, 14 ja 17
(2020) Hämäläinen, Mikko; et al.; D4; OA

Puronvarsimetsien suojavyöhykkeiden vaikutus kasvi- ja kääpälajistoon, pienilmastoon ja tuulenkaatoihin (2020) Oldén, Anna; et al.; B1; OA

Tavoitteena metsäkulttuurinen kestävyys (2020) Paaskoski, Leena; et al.; B2; OA; 978-952-69018-4-8