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1 October 2008 Post-Fledging Range use of Great Tit Parus major Families in Relation to Chick Body Condition
Beat Naef-Daenzer, Martin U. Grüebler
Author Affiliations +
Abstract

The timing of breeding and the chicks' fledging condition are major fitness-relevant traits in the Great Tit Parus major. Yet, the proximate mechanisms relating these traits to differential survival and recruitment are largely unknown. We analysed the range use of Great Tit family groups during the first 20 days after fledging, i.e. the period of post-fledging dependence, in relation to the juveniles' body condition. Radio-telemetry and colour marks were used to track 25 families with 107 chicks. The post-fledging home-ranges of families with fledglings of good condition (average body mass 19 g) were c. 3 times larger than of those with poorly nourished (average 15 g) young. The rate of movements exceeding 50 m per hour was also positively correlated to the chicks' mean fledging mass. We hypothesise that the fledglings' body condition resulted in large differences in flight performance, and consequently, spatial behaviour of the family groups. The slow movements and the close grouping of chicks of poor body condition likely increase their vulnerability to predation. In the late season, fledglings of poor condition had significantly lower food intake rates compared to those of good condition. We suggest that the relevance to survival and thus, fitness of the fledglings' physical condition, is via the behavioural and metabolic competence, which in turn may affect flight performance, range use, energy intake rate, and ability to escape predation.

INTRODUCTION

The physical condition of bird fledglings is a main determinant of their subsequent survival and recruitment into the breeding population (overview in Magrath 1991, Verboven &: Visser 1998, Naef-Daenzer et al. 2001a, Garant et al. 2004). However, the chain of proximate mechanisms that relate variation in condition to differential survival and eventually to fitness is largely unknown. Here, we use the Great Tit Parus major as an example organism to analyse the immediate consequences of juvenile body condition on their behavioural performance and potential links to the marked condition-related differentials in post-fledging survival (Naef-Daenzer et al. 2001a).

Since the energy flow to a brood of Great Tits is mainly limited by the abundance and size of prey (Keller 1993, Naef-Daenzer & Keller 1999, Naef-Daenzer et al. 2000), the parents have to trade-off the number of chicks against chick quality (e.g. Smith et al. 1989, Perrins 8: McCleery 1989, Verboven & Visser 1998, Verhulst et al. 1995, Both et al. 1999, Naef-Daenzer & Keller 1999). The Great Tit is under strong selection synchronising the timing of breeding with the seasonal patterns in both prey availability and predation pressure. Optimally timed broods have the nestling period coincide with the ‘caterpillar peak’ (e.g. Perrins 1996, van Noordwijk et al. 1995, Naef-Daenzer et al. 2004), but are early enough to avoid the ‘predation peak’ on tit fledglings later in the season (Naef-Daenzer et al. 2001a). The relevance to fitness of these trade-offs is via differential survival in the period from fledging to recruitment (Dhondt 1979, Drent 1984, van Noordwijk et al. 1995, Verboven & Visser 1998, Naef-Daenzer et al. 2001a), however, the relevant ecological pathways remain unclear. Life history theory suggests three proximate mechanisms. The first hypothesis states that energetic limitations during the post-fledging period are the main determinant of differential survival. Energy constraints may indeed arise due to the seasonal decline of food resources (Martin 1987, Carey 1996), while the frequent moves increase the chicks' energy demands (Tatner 8: Bryant 1986, Nudds 8: Bryant 2000) just in this period. Declining food availability during summer and fundamental changes in food resources in autumn may further influence juvenile survival (van Balen 1980, Bejer & Rudemo 1985, Lehikoinen 1986). The second hypothesis suggests that good physical condition of fledglings is of prime importance to avoid pre dation, particularly during the very first days after leaving the nest (Drent 1984, Verhulst et al. 1997, Delestrade et al. 1996). Recent research revealed that predation during the first post-fledging weeks is indeed a major proximate cause of mortality of Great Tit fledglings (Naef-Daenzer et al. 2001a, Götmark 2002). This indicates that predator-prey interactions have a strong impact on the tits' reproductive system and quickly result in strong differential survival in relation to body condition and fledging date. The two hypotheses are not mutually exclusive. On the contrary, an interaction of the two mechanisms may even increase differentials in chick survival. A third hypothesis predicts that physical condition is a determinant of performance in intraspecific competition for resources and thus, of survival. Here, we analyse the range use of entire bird families in the period in which juveniles still depend on parental care. Thus, although intraspecific competition cannot be excluded at the level of individual behaviour (both parents and juveniles), the competition hypothesis is not evaluated in detail in this article.

A bird's physical condition has manifold effects on its physiological and behavioural performance, for example the metabolic capacity (Simon et al. 2004), the ability to escape a dangerous situation (the predation hypothesis, Veasey et al. 2000), or its social rank (Gosler 8: Carruthers 1999, Carrascal et al 1998). The effects of a young bird's condition on its performance in spatial behaviour and in turn its access to resources (the energy limitation hypothesis) have hardly been investigated. Here we analyse effects of offspring condition on the home-range dimensions and movements of Great Tit family groups. First, we test whether the size of post-fledging home-ranges varies in relation to chick condition. If poor condition of the chicks impairs their flight performance, this will affect the range of action and thus, access to food resources. Second, we analyse the short-term movements within the home-ranges in relation to age and condition. Differences in body condition and thus, flight performance (Veasey et al. 2000, Simon et al. 2004), may strongly affect a bird's frequency and speed of movements for foraging and other daily routines.

METHODS

The study was conducted from 1995 to 1997 in the ‘Blauen’ region, a mixed deciduous/coniferous forest of the north-eastern Jura near Basel, Switzerland, at altitudes of 300–600 m above sea level. Over an area of c. 3 km2, some 350 nest-boxes were placed along forest roads and footpaths. A detailed description of the methods, particularly the radio-tagging technique, is given in Naef-Daenzer et al. (2001a,b) and Naef-Daenzer (2007). Here, we give a brief summary. From nestling day (age) 15, broods were visited daily but only for quick visual inspections to prevent premature fledging. The age of nestlings was determined using standard tables of size and feather development derived from chicks of known age. Immediately before fledging, that is, on nestling day 17 to 20, juvenile tits were marked and weighted. All chicks of a brood were individually colour-marked and 3–4 juveniles per brood were instrumented with a radio-tag. This allowed transmitter failures and losses to be discerned from mortality because surviving birds with ‘dead’ or lost radios could be recorded visually as long as at least one transmitter per family was working (Naef-Daenzer et al. 2001b).

To assess post-fledging survival (Naef-Daenzer 2001a), 178 Great Tit fledglings were radio-tagged using an improved version of the miniature transmitter presented in Naef-Daenzer (1993). The tags were mounted with a Rappole-type harness made from 0.5 mm cotton cord (Rappole & Tipton 1990). Including the harness, the total mass of these tags was 470–480 mg, which is 2.4–3.3% of a Great Tit's fledging mass. The aerial consisted of 7 cm of 0.15 mm multithread steel of green colour. Individuals of less than 14 g were colour-marked but not equipped with transmitters. Transmitters and attachments were first tested on captive juvenile tits. We observed no differences in behaviour or manoeuvrability between tagged and untagged birds. A control group of 88 Great Tit fledglings were individually colour-marked or left unmarked (max. 1 per brood). As with radio-tagged birds, waterproof pencils (Edding 500) were used to apply one or two bands of colour on the ventral feathers. The recombination of two out of four colours (black, blue, red, none) allowed each bird of a family to be marked individually, but patterns occurred repeatedly among families. Except for very short periods, the families were well separated from each other, thus repeat patterns did not confound the identification of individuals. A quantitative analysis of possible adverse effects of radio-tagging on survival and short-term movements is given in Naef-Daenzer et al. (2001b).

Our estimate of the expected fledging day was imprecise. While some broods had already fledged when the field team arrived for tagging (<10%) others remained in the nest for up to two days. Hence, on a qualitative level, there is no evidence that the late handling of the chicks caused them to fledge prematurely.

Data collection

Data on range use and behaviour were collected for a sub-sample of 25 families with 107 chicks. After locating the family groups by ‘homing-in’ (Kenward 2001), all birds were identified visually. Observation sessions lasted for 1 hour per family. To assess short-term movements and to collect data on behaviour and resource selection, additional observations were carried out on families selected at random. The total observation time per family was therefore 2 to 6 hours per day depending on the number of families that were tracked simultaneously. Locations were recorded at 6-min intervals on topographic maps and digitised using a planimeter. In each of the intervals, group size and behaviour of adults and chicks were recorded according to the following scheme: the minutes one and two were used to determine the location of the family party, to record the number and identity of birds present and to estimate the maximum distance between the most distant birds in the party (four categories: <5 m, 5–10 m, 10–50 m, >50 m). We also recorded the approximate height of the group (four categories: on ground, <5 m, 5–10 m, > 10 m). The minutes three and four were used for recording the behaviour of a focus-animal (Altmann 1974) selected randomly among the juvenile birds present, and during the minutes five and six of the observation cycle, a similar focus-record was made for one of the adults.

Analysis

We used a fixed kernel procedure to estimate the size of family home-ranges (h = 50 m, grid cell size 10×10 m; Worton 1989, 1995). Calculations were performed with the software GRID (Naef-Daenzer 1993, Wood et al. 2000), using the 30% and 90% contours of the density distribution as home-range and core-area estimates, respectively. To analyse home-range dimensions in relation to brood condition, the effect of sample size (i.e. the observation time per family) must be taken into account. To test for an effect of fledging mass on home-range size, we therefore used multiple regression models including the location sample size as a correction factor.

Animals typically move non-randomly, thus consecutive locations are serially correlated. This does not impose problems with kernel home-range estimates. However, if locations are collected too infrequently or over too short observation periods parts of the home-range will be missed, which cannot be corrected for in any analysis. De Solla et al. (1999) have shown that eliminating serial correlation may substantially reduce the accuracy of home-range estimates. In home-range estimates, the single location is not used as an independent replicate, but is the basis to calculate one estimate of the animals' home-range. Therefore the correct degrees of freedom representing the units of the analysis (the family groups) is used.

To test the frequency of movements in relation to fledgling condition, we used a binary variable where 0 refers to distances of ≤ 50 m (i.e. the family staying at the same site, criterion according to field tests of location/mapping error), and 1 for distances exceeding 50 m (i.e. the family moved to a new location).

To test effects of season, age, and condition of fledglings on the average food intake we used the observation intervals (n = 653) in which focus samples of juveniles were achieved. The total food intake was estimated as the sum of food items delivered by both parents and the items collected by the juveniles themselves. Estimating the mass of items was impossible. Due to the small sample size, the families were assigned to rough categories in relation to season (‘early’: fledging date < median fledging date of the year; otherwise ‘late’), age (<10 d / ≥ 10 d from fledging) and physical condition (‘poor’: fledging mass < mean fledging mass of the year, otherwise ‘good’).

RESULTS

Home-range area

The average area of post-fledging home-ranges was 8.3 ha ± 3.2 SD (range 3.2–13.7 ha, 90% contour, n = 18 families with > 100 locations). These ranges were considerably larger than the area used during the nestling period (4.7 ± 2.1 ha, Widmer 8: Naef-Daenzer, unpubl. data). The area of the minimum convex polygon including the largest home-range covered up to 77.2 ha, which illustrates that the birds had made considerable excursions out of the core ranges. Neighboured ranges overlapped largely, and we did not observe any agonistic interactions amongst family groups (Fig. 1).

We found a strong positive effect of the chicks' average fledging mass on the size of the postfledging home-ranges of tit families (R2adj = 0.35, F2,23 = 8.18, P < 0.002; multiple regression model in Table 1, Fig. 2). We excluded one exceptionally large split home-range (Family 242–1995, shown in Fig. 1). The result suggests that the home-range of a family with 19-g chicks was about twice the size of that of a family with 15-g fledglings. The non-linear increase of the home-range area with sample size is biologically irrelevant but indicates that samples of less than 100 locations resulted in a considerable underestimation of the effective home-range.

A similar, weaker relationship also existed for the core-area in the home-range, i.e. the area integrating the 30% of the location distribution with highest use density (R2adj = 0.22 F2,23 = 4.98, P < 0.02). This suggests that families with well-conditioned chicks used significantly larger areas for both the daily routines (the core-areas) and for exploring the habitat (the total home-range) than those with chicks of low condition. We conclude from this that fledgling condition had a marked effect on the range covered during the period of post-fledging dependence.

Short-term movements of family parties

The body condition of fledglings affected the frequency and speed at which the family groups moved within their home-ranges. A logistic regression model showed a strong positive effect of both age and average chick fledging mass on the rate of movements (Table 2, Fig. 3).

Figure 1.

Ortho-photo of a part of the study area with the post-fledging home-ranges of four Great Tit families observed in 1996. The approximate location of nest boxes and the 90% location kernel density contours are shown. Technical details of the kernel procedure are given in the methods section. The examples illustrate the large mutual overlaps between the home-ranges. Also shown is the exceptionally large and split home range of family 242 (1995) which was excluded from statistical analyses of home-range dimensions (©SWISSIMAGE; reproduced with permission of swisstopo, BA081376).

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Table 1.

Multiple regression results for the home-range area used by Great Tit families in relation to the average fledging mass of the brood. The location sample size was included into the model to correct for differences in total observation time. One family with exceptionally large split home-range was excluded from the analysis, but is shown in Fig. 2 (white dot). Dependent variable: Area covering 90% of locations (ha), n = 24 family groups, R2adj = 0.35, F2,23 = 8.18, P < 0.002.

t01_181.gif

Figure 2.

Multiple regression model for the area of postfledging home-ranges in relation to location sample size and average fledging mass of the brood. Based on observations of 24 families (black dots). One outlier was excluded from the statistical analysis (white dot). Regression results are given in Table 1.

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Table 2.

Logistic regression results for the probability that a family moved over more than 50 m within one hour in relation to the average fledging mass of the chicks. -2 Log Likelihood = 1669.58, X22 = 53.68, P < 0.0001.

t02_181.gif

Figure 3.

Multiple logistic regression results for the probability of moves of more than 50 m per hour in relation to age (days from fledging) and average fledging mass of the brood. Statistical results are given in Table 2.

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Families that had lost all their chicks during post-fledging dependence had moved significantly less intensely compared to those of which at least one chick reached independence (ANOVA, chick survival (two categories: all chicks lost / ≥ 1 chicks survived): F1,236 = 4.69, P = 0.03, controlling for age (four categories): F3,236 = 0.89, P = 0.44). On average, the families losing their entire brood had moved at a pace of 73 m h-1 compared to 126 m h-1 in families with surviving chicks. This result indicates a potential effect of short-term movements on chick survival, however, our data do not allow a relationship between spatial behaviour and mortality incidents to be established.

Prey availability and food intake of juveniles

After the peak around mid-May, the average biomass of prey quickly declined such that most postfledging tit families experienced relatively low food abundance (Fig. 4). Since tree species that still offered abundant food such as oak Quercus sp. or wild cherry Prunus sp. made up for less than 5% of the canopy, rich food resources were rather rare and widely dispersed. We found a significant effect of season and fledgling condition on the average food intake rate of tit juveniles (ANOVA results given in Table 3). In the late season, intake rates were generally lower than in the early season (F1,646 = 13.88; P < 0.001). Furthermore, the significant interaction of season × fledging mass indicates that the drop in intake rates was higher for juveniles of poor physical condition compared to well-conditioned conspecifics (F1,646 = 4.76; P = 0.03, Fig. 5).

Table 3.

Effects of season, age and body condition on the average food intake rate of Great Tit fledglings. ANOVA, dependent variable: total intake rate in items per hour. n = 653 time intervals with visual observations of juveniles. Effect sizes are shown in Fig. 5

t03_181.gif

Figure 4.

The seasonal development of prey biomass (caterpillars and spiders) in the Blauen area for three categories of tree species in 1995–1997. Closed dots: food-rich deciduous tree species (oak Quercus sp., maple Acer sp., cherry Prunus sp.). Open dots: poor deciduous species (Beech Fagus silvatica, Ash Fraxinus excelsior, Hornbeam Carpinus betulus). Triangles: coniferous species (Pinus sp., Abies alba). Lines were fitted by least squares smoothing. The boxplot in the upper part gives the frequency distribution of fledglings produced in the three years. Most broods fledged when food availability was declining but still relatively high. From c. 20 June food availability was equally low in all tree species.

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Figure 5.

Variation of the total food intake of juvenile Great Tits in relation to season and body condition. Full ANOVA results are given in Table 3. Graphs show corrected means and SEs for all other variables in the analysis.

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DISCUSSION

The relationships of the post-fledging range use of Great Tit families with the fledging condition of the juveniles indicate how a phenotypic trait (physical condition) is related to behavioural performance (movements and range use). Families with poorly nourished chicks moved at a much lower rate than those with chicks of high average fledging mass, and they did so within a much smaller area of forest. This was particularly pronounced in the first five days after leaving the nest, which is also the period of maximum mortality (Naef-Daenzer et al. 2001a). The results suggest that poor physical condition results in poor behavioural performance and in turn poor survival prospects. Proximately, reduced body condition likely restrains the juveniles' mobility and use of space, because of their deficient flight performance and the predominantly short distances of moves. This may have serious consequences in at least two aspects, foraging ecology and predator impact. First, families that moved rarely may have been handicapped in exploiting food resources (the energy limitation hypothesis). The observed seasonal decline in food intake rates in fledglings of poor physical condition suggests that weak animals face increasing energetic deficiencies when food resources decline. We conclude that poorly conditioned fledglings are handicapped in gaining food, however, we were unable to estimate the daily energy intake on the basis of our restricted sample.

Second, the results are in agreement with experimental evidence that physical condition is a prime factor determining a birds' power for escape (Veasey et al. 2000). Probably, young tits of poor body condition had a seriously reduced ability to avoid predation and to escape dangerous situations. Also, we hypothesise that the low rate of short-distance movements of poorly conditioned chicks made them more likely to be discovered by potential predators because they remained begging on the same spot for considerable time. In fact, some individuals were so weak and unvigilant that they could have been captured by hand. Occasional observations in the field made clear that physical strength indeed enables a tit to escape an attack of, for example, a woodpecker Dendrocopos sp. or a Jay Garrulus glandarius. These are unable to kill a tit fledgling instantly, and once we observed a (strong) tit fledgling struggling off the grasp of an ambushing Great Spotted Woodpecker D. major. Furthermore, observations of Great Tit and Coal Tit P. ater pairs that had lost all chicks within 1–2 days from fledging suggest that predators are apt to return to the place of a first capture although such an effect could not be demonstrated statistically (Naef-Daenzer et al. 2001a).

The tracking results provide further evidence that the period of post-fledging dependence is a very important phase in the reproductive system of the Great Tit. It appears that much of the relevance to survival and thus, fitness, of many of the parents' reproductive decisions is via differential behavioural performance during the very early post-fledging period (Drent 1984, Naef-Daenzer et al. 2001a). Our results support both the energy constraint and the predation hypotheses, although they do not proof either of them. This first investigation indicates a chain of relationships that link the physical condition to the short-term survival prospects, and thus, fitness. Further experimental research is required to quantify, for example, the impact of restricted home-range use on the food intake rate of the juvenile birds and thus, their further development during the post-fledging period.

There was no evidence that the parents of poorly conditioned broods behaved less well than those of broods with high fledging mass. By contrast, the frequency of feedings per fledgling and unit time was higher in broods with low fledging mass, which suggests that the parents of these broods made attempts to compensate their deficiency in condition (Naef-Daenzer, unpubl. data). So far, the mechanisms that determine how frequently and where a family party moves to are unclear. The data do not provide information on the movements of individual chicks and thus the analysis cannot account for any within-family effects of fledgling condition and behaviour.

ACKNOWLEDGEMENTS

We are grateful for the assistance in fieldwork by H.R. Dietrich, M. Fischbacher, G. Gaidon, D. Hegglin, S. Joss, M. Keiser, U. Kradolfer, R. Meury, D. Mülli, M. Neecke, U. Sieber, P. and C. Steck, and M. Winzer. The Ornithological Society of Ettingen allowed access to the nestboxes in the Blauen area. Technical support was provided by M. Pasinelli (Zug), Microbonding SA (Noiraigue) and Wicker & Bürki AG (Rümlang). We gratefully acknowledge the substantial improvements of the manuscript by N. Zbinden and L. Schifferli, and N. Dingemanse and two referees. Marking and radio-tagging of birds was done under license of the Federal Office of Forestry and Environment. Transmitters and receiving equipment were licensed by the Swiss Federal PTT (PTT-912006/92104). The study was financially supported by the Swiss National Science Foundation (Grant no. 3100-41956.94) and the Karl-Mayer Foundation.

REFERENCES

1.

J. Altmann 1974. Observational study of behaviour: Sampling methods. Behaviour 49: 227–267. Google Scholar

2.

B. Bejer & M. Rudemo 1985. Fluctuations of tits (Paridae) in Denmark and their relations to winter food and climate. Ornis Scand. 16: 29–37. Google Scholar

3.

C. Both , M.E. Visser & N. Verboven 1999. Density-dependent recruitment rates in great tits: the importance of being heavier. Proc.R. Soc. Lond. B. 266: 465–469. Google Scholar

4.

C. Carey 1996. Female reproductive energetics. Avian energetics and nutritional ecology. Chapman and Hall, New York, pp. 324–374. Google Scholar

5.

L.M. Carrascal , J.C. Senar , I. Mozetich , F. Uribe & J. Domenech 1998. Interactions among environmental stress, body condition, nutritional status, and dominance in great tits. Auk 115: 727–738. Google Scholar

6.

A. Delestrade , R.H. McCleery & C.M. Perrins 1996. Natal dispersal in a heterogeneous environment: the case of the great tit in Wytham. Acta Oecol. 17: 519–529. Google Scholar

7.

A.A. Dhondt 1979. Summer dispersal and survival of juvenile great tits in southern Sweden. Oecologia 42: 139–157. Google Scholar

8.

P. J. Drent 1984. Mortality and dispersal in summer and its consequences for the density of great tits Parus major at the onset of autumn. Ardea 72: 127–162. Google Scholar

9.

D. Garant L.E.B. Kruuk, T.A. Wilkin , R.H. McCleery , B.C. Sheldon 2004. Evolution in a changing environment: A case study with great tit fledging mass. Am. Nat. 164: E115–E129. Google Scholar

10.

A. Gosier & T. Carruthers 1999. Body reserves and social dominance in the great tit Parus major in relation to winter weather in south-west Ireland. J. Avian Biol. 30: 447–459. Google Scholar

11.

F. Götmark 2002. Predation by sparrowhawks favours early breeding and small broods in great tits. Oecologia 130: 25–32. Google Scholar

12.

A.J. Hall , B.J. McConnell , & R.J. Barker 2002. The effect of total immunoglobulin levels, mass and condition on the first-year survival of grey seal pups. Funct. Ecol. 16: 462–474. Google Scholar

13.

L.F. Keller 1993. A method to isolate environmental effects on nestling growth, illustrated with examples from the great tit (Parus major). Funct. Ecol. 7: 493–502. Google Scholar

14.

R. Kenward 2001. A manual for wildlife radio tagging. Academic Press, London. Google Scholar

15.

E. Lehikoinen 1986. Dependence of winter survival on size in the great tit Parus major. Ornis Fenn. 63: 10–16. Google Scholar

16.

R.D. Magrath 1991. Nestling weight and juvenile survival in the blackbird, Turdus merula. J. Anim. Ecol. 60: 335–351. Google Scholar

17.

T.E. Martin 1987. Food as a limit on breeding birds: a life-history perspective. Ann. Rev. Ecol. Syst. 18: 453–487. Google Scholar

18.

B. Naef-Daenzer 1993. A new transmitter for small animals and enhanced methods of home-range analysis. J. Wildlife Manage. 57: 680–689. Google Scholar

19.

B. Naef-Daenzer & L.F. Keller 1999. The foraging performance of great and blue tits (Parus major and P. caeruleus) in relation to caterpillar development, and its consequences for nestling growth and fledging weight. J. Anim. Ecol. 68: 708–718. Google Scholar

20.

B. Naef-Daenzer , F. Widmer & M. Nuber 2001a. Differential post-fledging survival of great and coal tits in relation to their condition and fledging date. J. Anim. Ecol. 70: 730–738. Google Scholar

21.

B. Naef-Daenzer , F. Widmer , & M. Nuber 2001b. A test for effects of radio-tagging on survival and movements of small birds. Avian Science 1: 15–24. Google Scholar

22.

B. Naef-Daenzer 2007. An allometric function to fit leg-loop harnesses to terrestrial birds. J. Avian Biol. 38: 404–407. Google Scholar

23.

L. Naef-Daenzer , B. Naef-Daenzer & R.G. Nager 2000. Prey selection and foraging performance of breeding great tits Parus major in relation to food availability. J. Avian Biol. 31: 206–214. Google Scholar

24.

L. Naef-Daenzer R.G. Nager , L.F. Keller & B. Naef-Daenzer 2004. Are hatching delays a cost or a benefit for great tit (Parus major) parents? Ardea 92: 229–238. Google Scholar

25.

A.J. Noordwijk van , R.H. McCleery & C.M. Perrins 1995. Selection for the timing of great tit breeding in relation to caterpillar growth and temperature. J. Anim. Ecol. 64: 451–458. Google Scholar

26.

R.L. Nudds & D.M. Bryant 2000. The energetic cost of short flights in birds. J. Exp. Biol. 203: 1561–1572. Google Scholar

27.

C.M. Perrins 1991. Tits and their caterpillar food supply. Ibis 133: 49–54. Google Scholar

28.

C.M. Perrins 1996. Eggs, egg formation and the timing of breeding. Ibis 138: 2–15. Google Scholar

29.

C.M. Perrins & R.H. McCleery 1989. Laying dates and clutch size in the great tit. Wilson Bull. 101: 236–253. Google Scholar

30.

J.H. Rappole & A. Tipton 1990. New harness design for attachment of radio transmitters to small passerines. J. Field Ornithol. 62: 335–337. Google Scholar

31.

A. Simon , D. Thomas , J. Blondel , P. Perret , & M. Lambrechts 2004. Physiological ecology of Mediterranean blue tits (Parus caeruleus): Effects of ectoparasites (Protocalliphora spp.) and food abundance on metabolic capacity of nestlings. Physiol. Biochem. Zool. 77: 492–501. Google Scholar

32.

H.G. Smith , H. Källander & J. Å. Nilsson 1989. The tradeoff between offspring number and quality in the great tit Parus major. J. Anim. Ecol. 58: 383–401. Google Scholar

33.

P. Tatner & D.M. Bryant 1986. Flight cost of a small passerine measured using doubly labelled water: implications for energetics studies. Auk 103: 169–180. Google Scholar

34.

J.M. Tinbergen & M.C. Boerlijst 1990. Nestling weight and survival in individual great tits (Parus major). J. Anim. Ecol. 59: 1113–1127. Google Scholar

35.

J.A. van Balen 1980. Population fluctuations of the great tit and feeding conditions in winter. Ardea 68: 143–164. Google Scholar

36.

J. S. Veasey , D.C. Houston & N.B. Metcalfe 2000. Flight muscle atrophy and predation risk in breeding birds. Funct. Ecol. 14: 115–121. Google Scholar

37.

N. Verboven & M.E. Visser 1998. Seasonal variation in local recruitment of great tits: the importance of being early. Oikos 81: 511–524. Google Scholar

38.

S. Verhulst , C.M. Perrins & R. Riddington 1997. Natal dispersal of great tits in a patchy environment. Ecology 78: 864–872. Google Scholar

39.

S. Verhulst , J.H. van Balen & J.M. Tinbergen 1995. Seasonal decline in reproductive success of the great tit: variation in time or quality? Ecology 76: 2392–2403. Google Scholar

40.

A.G. Wood , B. Naef-Daenzer , P.A. Prince , & J.P. Croxall 2000. Quantifying habitat use in satellite-tracked pelagic seabirds: application of kernel estimation to albatross locations. J. Avian Biol. 31: 278–286. Google Scholar

41.

B.J. Worton 1989. Kernel methods for estimating the utilization distribution in home-range studies. Ecology 70: 164–168. Google Scholar

42.

B.J. Worten 1995. Using Monte-Carlo simulation to evaluate kernel-based home range estimators. J. Wildlife Manage. 59: 794–800. Google Scholar

Appendices

SAMENVATTING

Bij Koolmezen Parus major zijn de timing van broeden en de conditie van de jongen bij het uitvliegen kenmerken met belangrijke consequenties voor de fitness van de vogels. Er is echter weinig bekend over de manier waarop deze kenmerken overleving en vestiging in de broedpopulatie beïnvloeden. In het onderhavige onderzoek wordt het gebiedsgebruik beschreven van mezenfamilies gedurende de eerste 20 dagen na het uitvliegen van de jongen (de periode waarin jongen onafhankelijk worden van hun ouders) in relatie tot de conditie (gewicht) van de jongen bij het uitvliegen. Met behulp van radiotelemetrie en het aflezen van gekleurringde mezen werden 25 families met 107 jongen gevolgd. Families met jongen in goede conditie (gemiddeld gewicht 19 g) gebruikten een ongeveer drie keer zo'n groot gebied als families met jongen in slechtere conditie (gemiddeld 15 g). De conditie bij het uitvliegen was positief gecorreleerd met de verplaatsingssnelheid, tenminste voor families die meer dan 50 m per uur aflegden. Wij veronderstellen dat de conditie bij het uitvliegen van invloed is op de vliegprestatie en daarmee op het gebiedsgebruik van de familiegroepen. De lage verplaatsingssnelheid en dichte clustering van jongen in slechte conditie resulteren waarschijnlijk in een groter predatierisico. Jongen in siechte condities hadden een relatief lage voedselopnamesnelheid, vooral laat in het seizoen. Wij veronderstellen dat de effecten van de conditie bij het uitvliegen op de overleving (en dus fitness) tot stand komen door effecten van conditie op gedrag en fysiologie, die vervolgens vliegprestatie, gebiedsgebruik, energieopname, en predatierisico beïnvloeden. (NJD)

Beat Naef-Daenzer and Martin U. Grüebler "Post-Fledging Range use of Great Tit Parus major Families in Relation to Chick Body Condition," Ardea 96(2), 181-190, (1 October 2008). https://doi.org/10.5253/078.096.0204
Received: 2 June 2007; Accepted: 1 May 2008; Published: 1 October 2008
KEYWORDS
body condition
Great Tit
Parus major
radiotelemetry
range use
reproduction
survival
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