0000000000482452

AUTHOR

Meeri Rannisto

showing 2 related works from this author

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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A Successful Crowdsourcing Approach for Bird Sound Classification

2023

Automated recorders are increasingly used in remote sensing of wildlife, yet automated methods of processing the audio remains challenging. Identifying animal sounds with machine learning provides a solution, but optimizing the models requires annotated training data. Producing such data can require much manual effort, which could be alleviated by engaging masses to contribute to research and share the workload. Birdwatchers are experts on identifying bird vocalizations and form an ideal focal audience for a citizen science project aiming for the required multitudes of annotated avian audio data. For this purpose, we launched a web portal that was targeted and advertised to Finnish birdwatc…

MultidisciplinaryCitizen science; machine learning; bioacoustics; ornithology; web portaleläinten äänetportaalit (tietotekniikka)web portalbioacousticsmachine learningkoneoppiminenkansalaistiedecitizen science1181 Ecology evolutionary biologyornithologytunnistaminenlintutiedeCitizen Science: Theory and Practice
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