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Hitchhikers’ guide to analysing bird ringing data
Part 2: distributions, summary statistics and outliers

analysing bird ringing data Introduction, Part 1: data cleaning, preparation and exploratory analyses. - Ornis Hungarica 23(2): 163-188. DOI: 10.1515/orhu-2015-0018 Harnos, A., Lang, Zs., Fehérvári, P. & Csörgő, T. 2015b Sex and age dependent migratory phenology of the Pied Flycatcher in a stopover site in the Carpathian Basin. - Ornis Hungarica 23(2): 10-19. DOI: 10.1515/orhu-2015-0010 Ieno, E. N. & Zuur, A. F. 2015. A Beginner’s Guide to Data Exploration and Visualisation with R. - Highland Statistics Ltd. Newburgh

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Hitchhikers’ guide to analysing bird ringing data
Part 3: missing values

Miscellaneous Functions. – URL: https://CRAN.R-project.org/package=RcmdrMisc , R package version 1.0-6 Harnos, A., Csörgő, T. & Fehérvári, P. 2016a Hitchhikers’ guide to analysing bird ringing data. Part 2. – Ornis Hungarica 24(1): 172–181. DOI: 10.1515/orhu-2016-0010 Harnos, A., Fehérvári, P. & Csörgő, T. 2015a Hitchhikers’ guide to analysing bird ringing data. Part 1. – Ornis Hungarica 23(2): 163–188. DOI: 10.1515/orhu-2015-0018 Harnos, A., Fehérvári, P., Piross, I. S., Karcza, Zs., Ágh, N., Kovács, Sz. & Csörgő, T. 2016b Exploratory analyses of migration

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Hitchhikers’ guide to analysing bird ringing data
Part 1: data cleaning, preparation and exploratory analyses

Abstract

Bird ringing datasets constitute possibly the largest source of temporal and spatial information on vertebrate taxa available on the globe. Initially, the method was invented to understand avian migration patterns. However, data deriving from bird ringing has been used in an array of other disciplines including population monitoring, changes in demography, conservation management and to study the effects of climate change to name a few. Despite the widespread usage and importance, there are no guidelines available specifically describing the practice of data management, preparation and analyses of ringing datasets. Here, we present the first of a series of comprehensive tutorials that may help fill this gap. We describe in detail and through a real-life example the intricacies of data cleaning and how to create a data table ready for analyses from raw ringing data in the R software environment. Moreover, we created and present here the R package; ringR, designed to carry out various specific tasks and plots related to bird ringing data. Most methods described here can also be applied to a wide range of capture-recapture type data based on individual marking, regardless to taxa or research question.

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Reconstructing past forest status using inventory and tree ring data to support uneven-aged forest management

Abstract

The decision to change forest management system from the traditional even-aged to the selection one based on statistical inventory is often limited by a missing previous inventory. To avoid this issue, we used available forest inventory data from ca 2 000 ha of mixed uneven-aged beech-fir-spruce-pine forest and tree ring data from 831 trees to reconstruct forest status from one decade ago. For this purpose, we have created three sets of species-specific models: 1) diameter-stump models to reconstruct the diameter of missing trees, 2) diameter-increment models based on tree ring data to estimate past diameters, and 3) height-diameter models to estimate past tree heights. This approach has allowed us to completely reconstruct the state of the forest as it was ten years ago and use the results as a substitution for a previously missing inventory.

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Demographic data on the Little Owl (Athene noctua) in Upper-Kiskunság (Hungary)

Abstract

This study focused on the clutch size and age-specific apparent survival rate of the Little Owl (Athene noctua) population in Upper-Kiskunság, Hungary. Between May 2005 and April 2017, 640 individuals were captured and ringed in a total of 746 capture-recapture occasions. Artificial nest boxes were installed in the study area, breeding birds and pulli were captured for ringing/recaptured in these boxes (from March to May), or at the close neighbourhood of those (max. 168 m). Jolly-Seber’s open population method was applied to model the survival rate. The candidate model set included models incorporating age, year-effect, and the combination of those. AICc value was used to compare models in a selection approach. The final model was constructed via model averaging based on the models with significant explanatory power. The average number and SD of pullus/breeding pair was 3.78 ± 0.76. The average apparent annual survival rate (which does not differentiate between mortality and permanent emigration) for the period between pullus stage and the time of the first breeding was estimated as 9.47% ± 2.99% SE, whereas the annual survival rate of adults was 82.74% ± 8.46% SE. The effect of sex on the survival rate of adults was not investigated due to female-biased sample, as the probability of capturing females is significantly higher in late spring months. Our experience reveals that during February and March it is possible to capture both sexes in the nest boxes, and it does not influence negatively the breeding success. Based on our results, the population of the Little Owl is stable in Upper-Kiskunság. A slight increase in estimated population size is observable even if we make no difference between mortality and permanent emigration. The high occupancy rate of the installed nest boxes reveals that nest site availability is an important limiting factor in the studied population.

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Ringing data and occurrence of Blue Tits Cyanistes caeruleus and Great Tits Parus major in Sombor (NW Serbia) for the period 1981–2013 /Obročkovalski podatki in pojavljanje plavčkov Cyanistes caeruleus in velikih sinic Parus major v mestu Sombor (SZ Srbija) med letoma 1981 in 2013

Pozvetek

Objavljanje in osnovna analiza obročkovalskih podatkov sta sicer pogosti temi člankov, redko pa so objavljeni podatki iz posameznega mesta, kot je denimo Sombor v premalo raziskani regiji Srbije. Predstavljamo podatke o obročkanju in ponovnem ulovu plavčkov Cyanistes caeruleus in velikih sinic Parus major za obdobje 32 let. Dodatno smo preverili vpliv povprečne najvišje temperature jeseni (september-december) in pozimi (januar-marec) na njihovo številčnost ter pojavljanje v dveh osnovnih habitatnih tipih (parki in vrtovi) v mestu Sombor. Skupno smo obročkali 1675 plavčkov (ponovno ujeti osebki N = 407) in 8062 velikih sinic (ponovno ujeti osebki N = 1517). Pri obeh vrstah so prevladovali mladi osebki (koda EURING 3 oz. 5). Najstarejše obročkane ptice obeh vrst so bile mlajše kot zabeleženo v drugih evropskih raziskavah. Številčnost obeh vrst ni bila povezana s povprečno najvišjo jesensko oziroma zimsko temperaturo. Število obročkanih ptic v parkih in vrtovih se ni pomembno razlikovalo. Glede na ugotovitve predhodnih raziskav sklepamo, da je njihova številčnost v posameznem habitatnem tipu odvisna od razpoložljivost hrane in vremenskih razmer, ne pa drugih okoljskih dejavnikov.

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A palaeotemperature record for the Finnish Lakeland based on microdensitometric variations in tree rings

, Jones PD, Bartholin TS, Eckstein D, Schweingruber FH, Karlén W, Zetterberg P and Eronen M, 1992. Fennoscandian summers from AD 500: temperature changes on short and long timescales. Climate Dynamics 7(3): 111–119, DOI 10.1007/BF00211153. http://dx.doi.org/10.1007/BF00211153 [8] Briffa KR, Jones PD, Pilcher JR and Hughes MK, 1988. Reconstructing summer temperatures in northern Fennoscandinavia back to A.D. 1700 using tree-ring data from Scots pine. Arctic and Alpine Research 20(4): 385–394. http://dx.doi.org/10

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Exploratory analyses ofmigration timing andmorphometrics of the Common Blackbird (Turdus merula)

References Aebischer, N., Potts, G. & Rehfisch, M. 1999. Using ringing data to study the effect of hunting on bird populations. - Ringing & Migration 19(Suppl. 1): 67-81. DOI: 10.1080/03078698.1999.9674213 Alerstam, T. 1976. Nocturnal migration of thrushes (Turdus spp.) in southern Sweden. - Oikos 27(3): 457-475. DOI: 10.2307/3543464 Ashmole, M. 1962. The migration of European thrushes: a comparative study based on ringing recoveries. - Ibis 104(3): 314-346. DOI: 10.1111/j.1474-919X.1962.tb08661.x

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Exploratory analyses of migration timing and morphometrics of the Common Nightingale (Luscinia megarhynchos)

., Emmenegger, T., Amrhein, V., Csörgő, T., Gursoy, A., Ilieva, M., Kverek, P., Pérez-Tris, J., Pirrello, S., Roselaar, C. S., Zehtindjiev, P. & Salewski, V. 2016. Longer wings for faster springs – wing length relates to spring phenology in a long-distance migrant across its range. – Ecology and Evolution 6(1): 68–77. DOI: 10.1002/ece3.1862 Harnos, A., Csörgő, T. & Fehérvári, P. 2016. Hitchhikers’ guide to analysing bird ringing data. Part 2. – Ornis Hungarica 24(1): 172–181. DOI: 10.1515/orhu-2016-0010 Harnos, A., Csörgő, T. & Fehérvári, P. 2017. Hitchhikers

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Exploratory analyses of migration timing and morphometrics of the Thrush Nightingale (Luscinia luscinia)

range. – Ecology and Evolution 6(1): 68–77. DOI: 10.1002/ece3.1862 Harnos, A., Csörgő, T. & Fehérvári, P. 2016. Hitchhikers’ guide to analysing bird ringing data. Part 2. – Ornis Hungarica 24(1): 172–181. DOI: 10.1515/orhu-2016-0010 Harnos, A., Csörgő, T. & Fehérvári, P. 2017. Hitchhikers’ guide to analysing bird ringing data. Part 3. – Ornis Hungarica 25(2): 141–156. DOI: 10.1515/orhu-2017-0020 Harnos, A., Fehérvári, P. & Csörgő, T. 2015. Hitchhikers’ guide to analysing bird ringing data. Part 1. – Ornis Hungarica 23(2): 163–188. DOI: 10.1515/orhu

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