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Potencial slovenskih obročkovalskih podatkov za ocenjevanje populacijske dinamike ptic
ID Petras, Tina (Author), ID Vrezec, Al (Mentor) More about this mentor... This link opens in a new window

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Abstract
Slovenska obročkovalska baza podatkov ima velik potencial za vrednotenje populacijske dinamike ptičjih vrst, saj se podatki o pticah zbirajo konsistentno že od leta 1927 dalje. Podatki so se pridobivali na nestandardiziran način, zato sta bili glavni težnji naših raziskav, kako zmanjšati pristranskost v podatkih in povečati zanesljivost statističnega sklepanja iz heterogenih podatkov za preučevanje populacijskih trendov in vpadnih gibanj (irupcij) ptic. Ocene populacijskih trendov smo analizirali za 15 vrst, pretežno pevcev, na jesenskih selitvah med letoma 2000 in 2016. Da bi dobili čim bolj homogene in reprezentativne vzorce, smo z združevanjem različnih kombinacij izborov podatkov oblikovali 20 kandidatnih modelov. Med temi smo izbrali vrstno-specifični model, ki je bil najboljši za posamezno vrsto, in univerzalni model, ki se je najbolje prilegal večini vrst. Po univerzalnem modelu smo nadalje analizirali 74 vrst pevcev, ki se jih je obročkalo na jesenskih selitvah med letoma 2000 in 2016. Smeri trendov so se v večini primerov ujemale s splošnimi trendi evropskih in slovenskih gnezditvenih populacij. Da bi ugotovili, kateri dejavniki so najbolj vplivali na populacijske trende, smo razvrstili vrste po naslednjih značilnostih: geografskem poreklu, življenjskih strategijah ter ekoloških in selitvenih značilnostih. Ugotovili smo populacijske upade pri večini ptičjih vrst iz vseh skupin. To kaže na splošno in razsežno osiromašenje avifavne in biodiverzitete v Sloveniji in po Evropi. Podatki o časovnih vrstah omogočajo tudi preučevanje vpadov ali irupcij v daljši časovni skali. Vpadna leta smo določili za ščinkavce (Fringillidae) v 87-letnem obdobju (1935–2021) s presekom različnih statističnih metod. Ugotovili smo, da so vpadna gibanja značilna za vse obravnavane vrste ščinkavcev, vendar se pojavljajo različno pogosto. Tako lahko govorimo o gradientu vpadnosti, pri čemer so bili vpadi najpogostejši pri borealnih vrstah, ki se prehranjujejo z drevesnimi semeni. Populacije vrst s pogostimi vpadi (> 11 % vpadnih let med vsemi leti v času raziskave) so imele v vpadnih letih višje sorazmerne indekse telesne mase, na kar je verjetno vplival kratkoročni stres zaradi pomanjkanja hrane na severnejših območjih prezimovanja. Ptice se v času vpadov pogosto selijo v večjih jatah, vendar so taka ozka grla zelo spremenljiva, zato obročkanje ptic ostaja ena najprimernejših metod za odkrivanje vpadnih gibanj. Obročkovalska dejavnost bi morala stremeti k vzorčenju po standardiziranem protokolu, saj bi tako lahko izkoristili največ potenciala obročkovalskih podatkov za preučevanje in varstvo ptičjih populacij.

Language:Slovenian
Keywords:obročkanje ptic, modeliranje populacijskih trendov, geografsko/gnezditveno poreklo, ekološke značilnosti, življenjske strategije, vpadi, sorazmerni indeks telesne mase
Work type:Doctoral dissertation
Typology:2.08 - Doctoral Dissertation
Organization:BF - Biotechnical Faculty
Publisher:[T. Petras]
Year:2025
PID:20.500.12556/RUL-171122 This link opens in a new window
UDC:598.2:591.543.43 (043.3)
COBISS.SI-ID:245204227 This link opens in a new window
Publication date in RUL:06.08.2025
Views:175
Downloads:83
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Secondary language

Language:English
Title:The potential of Slovenian bird ringing data for the inference of population dynamics
Abstract:
The Slovenian bird ringing database holds significant potential for assessing the population dynamics of bird species, as data have been consistently collected since 1927. However, due to the non-standardized nature of data collection, the primary aims of this research were to reduce bias and enhance statistical inference from heterogeneous data for studying population trends and irruptive movements of birds. We analysed population trends for 15 mostly passerine species during autumn migrations between 2000 and 2016. To obtain more homogeneous and representative samples, we combined different data selection approaches to develop 20 candidate models. Among them, we selected the best model for each species, i.e., a species-specific model, and in addition, identified the universal model, which best fitted the largest number of studied species. Using the universal model, we further analysed 74 passerines, ringed during autumn migrations between 2000 and 2016. The trend directions were largely consistent with broader European and Slovenian breeding population trends. To identify the factors most influencing population trends, we clustered species by the following attributes: geographic origin, migratory behaviour, ecological preferences, and life history traits. Most bird populations, and almost all groups, showed declining trends, indicating a widespread and extensive impoverishment of avifauna and biodiversity in Slovenia and across Europe. Time series data also enabled the identification of outliers, which may arise due to unique events, such as bird irruptions. We identified outlying years (irruptions) for fringillid species over an 87-year period (1935–2021) by intersecting various outlier detection methods. According to our findings, irruptive movements were observed in all the species studied, suggesting a gradient of irruptive tendencies, with irruptions being more frequent in boreal seed-eating species. In highly irruptive species (> 11% irruption years during the study period), populations generally exhibited larger scaled mass index during irruptive years, which was most likely associated with short-term stress in northern wintering areas. During irruptions, birds often form larger flocks; however, these are highly variable. Therefore, bird ringing remains one of the most effective methods for detecting irruptions. To fully realize the potential of ringing data for research and conservation, future bird ringing activities should be conducted under a standardized protocol.

Keywords:bird ringing, population trend modelling, geographic origin, ecological traits, life- history traits, irruptions, scaled mass index

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