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Reevaluation of dialect boundaries in the Yellowhammer (Emberiza citrinella) based on citizen science data: Should we split or lump?

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11310%2F23%3A10468051" target="_blank" >RIV/00216208:11310/23:10468051 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vrfIbYX2wm" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=vrfIbYX2wm</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.avrs.2023.100115" target="_blank" >10.1016/j.avrs.2023.100115</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Reevaluation of dialect boundaries in the Yellowhammer (Emberiza citrinella) based on citizen science data: Should we split or lump?

  • Popis výsledku v původním jazyce

    Dialects are a specific form of geographic variation of birdsong with relatively sharp boundaries between distinct song characteristics, which provide opportunities for focused studies of processes underlying the emergence of spatial patterns in vocalization. Several songbird species that exhibit dialects became models for such research, and for some of them large-scale datasets were assembled that included recordings provided by the public. Among them, the Yellowhammer (Emberiza citrinella, Emberizidae) is particularly prominent, as it has been recently a subject of dedicated citizen science projects focusing on its dialect distribution. The most successful, in terms of public participation as well as the number and density of obtained recordings, was the Dialects of Czech Yellowhammers (DCY) project, which assembled detailed data at the whole-country level. A mosaic of almost all common song variants known across Europe was observed in Czechia, but the results indicated that some of the traditionally recognized Yellowhammer dialects may not represent geographically clustered song variants, at least not in Central Europe. We quantitatively analysed variation (frequency and temporal characteristics and modulation) of the terminal song element in three dialects defined by arbitrary frequency thresholds in DCY. Multivariate analyses indicated that pooling these to two distinct groups reflects the variation in the songs, as well as their spatial distribution, better than retaining the current classification to three dialects or their finer splitting to even more categories. We provide simple measures that may be used for classification of these Yellowhammer song variants in Central Europe. However, we warn from indiscriminate transposing of results from one region to another, as that may lead to substantial biases. Future studies of birdsong variation will benefit from big data assembled by citizen scientists, but to maximise their usefulness for further dialect research, careful delineation of dialect boundaries is essential.

  • Název v anglickém jazyce

    Reevaluation of dialect boundaries in the Yellowhammer (Emberiza citrinella) based on citizen science data: Should we split or lump?

  • Popis výsledku anglicky

    Dialects are a specific form of geographic variation of birdsong with relatively sharp boundaries between distinct song characteristics, which provide opportunities for focused studies of processes underlying the emergence of spatial patterns in vocalization. Several songbird species that exhibit dialects became models for such research, and for some of them large-scale datasets were assembled that included recordings provided by the public. Among them, the Yellowhammer (Emberiza citrinella, Emberizidae) is particularly prominent, as it has been recently a subject of dedicated citizen science projects focusing on its dialect distribution. The most successful, in terms of public participation as well as the number and density of obtained recordings, was the Dialects of Czech Yellowhammers (DCY) project, which assembled detailed data at the whole-country level. A mosaic of almost all common song variants known across Europe was observed in Czechia, but the results indicated that some of the traditionally recognized Yellowhammer dialects may not represent geographically clustered song variants, at least not in Central Europe. We quantitatively analysed variation (frequency and temporal characteristics and modulation) of the terminal song element in three dialects defined by arbitrary frequency thresholds in DCY. Multivariate analyses indicated that pooling these to two distinct groups reflects the variation in the songs, as well as their spatial distribution, better than retaining the current classification to three dialects or their finer splitting to even more categories. We provide simple measures that may be used for classification of these Yellowhammer song variants in Central Europe. However, we warn from indiscriminate transposing of results from one region to another, as that may lead to substantial biases. Future studies of birdsong variation will benefit from big data assembled by citizen scientists, but to maximise their usefulness for further dialect research, careful delineation of dialect boundaries is essential.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10613 - Zoology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    AVIAN RESEARCH

  • ISSN

    2055-6187

  • e-ISSN

    2053-7166

  • Svazek periodika

    14

  • Číslo periodika v rámci svazku

    July

  • Stát vydavatele periodika

    CN - Čínská lidová republika

  • Počet stran výsledku

    8

  • Strana od-do

    100115

  • Kód UT WoS článku

    001052638800001

  • EID výsledku v databázi Scopus

    2-s2.0-85165593337