0000000001327004

AUTHOR

Aino Juslén

showing 4 related works from this author

Tutkimus tehostaa suojelutoimia : yhteenveto Puutteellisesti tunnettujen ja uhanalaisten metsälajien tutkimusohjelman vaikuttavuudesta

2017

Non peer reviewed

uhanalaiset lajit1181 Ekologia evoluutiobiologiaeducationta1181tutkimusohjelmatForestryGeneral MedicinetutkimusSD1-669.5luonnonsuojelubiodiversiteettiMetsätieteen Aikakauskirja
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A molecular-based identification resource for the arthropods of Finland

2022

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…

0106 biological sciencesResource (biology)DNA barcodesspecies identificationBiodiversityreference libraryarthropodsBiologyBarcodeProbabilistic taxonomic assignment010603 evolutionary biology01 natural scienceslaw.inventionCoiCOI03 medical and health sciencessymbols.namesakeProtaxlawprobabilistic taxonomic assignmentniveljalkaisetGeneticsAnimalsDNA Barcoding TaxonomicSpecies identificationArthropodsSpecies identificationFinlandEcology Evolution Behavior and SystematicsGene Library030304 developmental biology0303 health sciencesDNA-analyysiPROTAXsystematiikka (biologia)Linnaean taxonomyReference libraryBiodiversityGeographyEvolutionary biologyDna barcodes1181 Ecology evolutionary biologysymbolsidentificationlajinmääritysIdentification (biology)Biotechnology
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Which traits predispose species to extinction? A review

2018

Biodiversity is shrinking rapidly and despite our efforts, only a small part of it has been redlisted. Identifying the traits that make species vulnerable might help us predict the outcome for those less known. We used machine learning algorithms to filter relevant publications among 2700 potential ones and collected a final list of 559 statistical models within 122 publications, from which we gathered information on trait responses to extinction risk, across all taxa, spatial scales and biogeographical realms, in what we think it is the most complete compilation up to date. This talk will explore gaps in the research: are taxa, or biogeographical regions equally sampled? Then we will answe…

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The Finnish Biodiversity Information Facility FinBIF - an integrated open data infrastructure supporting research and decision-making in conservation.

2018

FinBIF was established to accelerate digitisation, mobilisation, and distribution of biodiversity data and to boost its use in research, administration, and the private sector. The core of the service has been built in a 3.5-year project ending in June 2018. The service has been operational since 2015, but it is continuously being developed. FinBIF comprises (1) a growing network of generators of data (species observations, specimens in collections, DNA barcodes); (2) a data warehouse integrating copies of primary datasets; and (3) the portal Laji.fi / Species.fi where anyone can search the data and download it for use. FinBIF is built to mediate all open-access biodiversity data in Finland…

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