Dichrooscytus fervens sp. n., a new species of Miridae (Hemiptera, Heteroptera) from Finland

Dichrooscytus fervens Muinonen & Rinne sp. n. (Hemiptera: Heteroptera: Miridae) is described based on material collected in Finland between 2011 and 2018. A morphological description is provided along with DNA barcodes (COI gene) and a phylogeny of all the Dichrooscytus species for which a DNA barcode is available. The new species lives on Picea spp. and is still known only from Finland. A map of all the records is given, as well as an identification key of the Dichrooscytus species occurring in northern Europe

Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints

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NFI plots as complementary reference data in forest inventory based on airborne laser scanning and aerial photography in Finland

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A molecular-based identification resource for the arthropods of Finland

Publisher Copyright: © 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.Peer reviewe

Rasterikartan tuottaminen kuljetusoptimoinnilla satelliittikuvapohjaisessa metsän inventoinnissa

TutkimusselosteSeloste artikkelista: Muinonen, E. 2005. Generating a raster map presentation of a forest resource by solving a transportation problem. Silva Fennica 39(4): 585–598

Generating a raster map presentation of a forest resource by solving a transportation problem

Abstrac

Rasterikartan tuottaminen kuljetusoptimoinnilla satelliittikuvapohjaisessa metsän inventoinnissa

TutkimusselosteSeloste artikkelista: Muinonen, E. 2005. Generating a raster map presentation of a forest resource by solving a transportation problem. Silva Fennica 39(4): 585–598

Latvusmassan ja kantojen korjuumahdollisuudet satellittikuvatulkintaan perustuen

TutkimusselosteSeloste artikkelista: Muinonen E., Anttila P., Heinonen J. and Mustonen J. (2013). Estimating the bioenergy potential of forest chips from final fellings in Central Finland based on biomass maps and spatially explicit constraints. Silva Fennica 47(4), article 1022