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1 May 2013 Conditions on the Non-Breeding Areas Affect Primary Moult Strategy of the Curlew Sandpiper Calidris ferruginea
Yahkat Barshep, Les G. Underhill, S. Balachandran, David J. Pearson
Author Affiliations +
Abstract

We investigated the adaptations of primary moult to conditions on the nonbreeding areas in the Curlew Sandpiper Calidris ferruginea, an Arctic breeding, long-distance migratory wader (shorebird). Parameters of moult (start date, duration, and standard deviation) and how they are affected by rainfall patterns were estimated using and extension of the Underhill—Zucchini (1988) moult models which allows the inclusion of covariates. The estimated start date and duration of moult in Kenya was 2 October and 128 days, respectively; start date was negatively correlated with the rainfall in June. In India, the estimated start date of moult was 15 August, duration 107 days and start of moult was positively correlated to the rainfall in August. Circumstantial evidence also suggests that the rate of growth of the primaries was affected by food supply at the nonbreeding areas. The timing of moult to coincide with rainfall periods is, perhaps, an adaptation to carry out this energy demanding activity during periods of food abundance. This study shows that in these populations of the Curlew Sandpiper, the timing of moult is a direct response to environmental variation and might be used to measuring the impacts of climate change on life-history traits of migratory birds.

The process of moult in birds is necessary for maintaining feathers in an airworthy condition but the process often comes at a high cost. Moult reduces plumage functionality (Hedenström & Sunada 1999), has energetic requirements (Klaassen 1995), and is considered an inefficient process (Dietz et al. 1992, Rohwer et al. 2009, Hoye & Buttemer 2011). Due to energy constraints, most bird species avoid overlapping moult with other energetically demanding activities such as breeding or migration. In many species, moult starts shortly after the breeding season is completed; moult can therefore serve as an indicator for other life-history stages that cannot be quantified directly. For instance, in species that make a single breeding attempt per season, an early onset of moult could indicate breeding failure (e.g. Barshep 2011, Barshep et al. 2011) and variance in start date of moult could serve as an indicator for variability in reproductive success (Barshep 2011).

The different moult strategies undertaken by longdistance migratory waders (shorebirds) is an adaptive response to a variety of factors such as seasonal patterns of food abundance (Prater 1981) and the length of the migratory journey to the winter quarters (Morrison 1976). For instance, populations of species such as the Grey Plover Pluvialis squatarola, Wood Sandpiper Tringa glareola, and Curlew Sandpiper Calidris ferruginea at more northern latitudes of Africa start moult earlier than populations farther south (Pienkowski et al. 1976, Serra 2000, Remisiewicz et al. 2009). Unpredictable food resources and feeding opportunities for shorebirds during the winter months are also reasons for the early start and quick completion of moult observed in the populations moulting at temperate latitudes compared to species wintering at southern latitudes (Underhill 2003, Summers et al. 2004, Summers et al. 2010).

Studies of moult in tropical birds indicate that the timing of moult is linked to rainfall pattern. Examples can be found for species such as the weavers and queleas (Oschadleus 2005, Oschadleus & Underhill 2006). However, it is not known if migrant birds that moult in tropical non-breeding areas modify their timing of moult according to weather patterns on these non-breeding areas. If rainfall patterns affect food abundance and food abundance in turn affects the timing and rate of moult, then the weather patterns in the tropics can potentially modify the schedule of moult. To explore the link between rainfall patterns on the non-breeding areas and the schedule of moult in long-distance migratory waders, we examined the moult pattern of populations of Curlew Sandpiper at similar latitudes in Kenya and India, two regions with contrasting weather patterns, especially in the timing of the wet season. The Curlew Sandpiper is a migratory wader that breeds on the tundra of Arctic Siberia. It has a wide wintering distribution spanning Africa, the Indian subcontinent, and Australasia (Cramp & Simmons 1983, del Hoyo et al. 1996). Primary moult is carried out almost exclusively on the non-breeding grounds (Cramp & Simmons 1983). We hypothesize that the annual start date of moult and the speed of moult will be affected by the amount of rainfall at these two sites.

METHODS

Curlew Sandipers were mist-netted in Kenya at various sites around the Rift Valley (00°22′N–03°20′S, 35°02′-39°58′E) from 1970–1988. In India, birds were trapped using mist nets at Mandapam (9°17′N, 79°8′E) and at the Great Vedaranyam Swamp (10°18′N, 79°51′E), in south-eastern India as part of the Bombay Natural History Society's Bird Migration Project between 1980 and 1992 (Balachandran et al. 2000). Birds were aged based on feather appearance and wing condition as described in, for instance, Prater et al. (1977). The moult of birds aged as adults is explored in this study. Moult scores of the primaries were recorded using the British Trust for Ornithology technique (Ginn & Melville 1983); old feathers were scored 0, new feathers 5, and growing feathers 1–4 depending on their stage of growth. Moult scores were converted into moult indices following the relationship: moult score 0 = 0, 1 = 0.125, 2 = 0.375, 3 = 0.625, 4 = 0.875, and 5 = 1.000 (Underhill & Summers 1993, Underhill & Joubert 1995), a process which aimed to achieve linearity through time of moult progression (Summers 1980). Moult indices were then transformed into the proportion of feather mass grown (PFMG) using the relative masses of primary feathers (Underhill & Joubert 1995).

The start date and duration of primary moult of all years combined was estimated using the moult models of Underhill and Zucchini (1988). The samples of birds captured in each region were assumed to be part of a population that arrived with old feathers, moulted and remained in the region so that the data were taken as type 2 of the Underhill and Zucchini (1988) model. This method was also used to estimate yearly moult parameters at both sites. The start dates and duration of moult for individual primaries were also estimated following Underhill (2003), Serra and Underhill (2006), and Remisiewicz et al. (2009).

An estimate of the gap in the wing during moult was obtained for each individual from the proportion of feather mass missing (PFMM), an extension of the raggedness score (Haukioja 1971) but takes into account the relative sizes of the missing feathers (Remisiewicz et al. 2009). To calculate PFMM, the opposite approach to the calculation of PFMG was used. Feathers that had moult scores 1, 2, 3 and 4 were given a corresponding moult indices of 0.875, 0.625, 0.375 and 0.125 respectively to represent the relative mass for the missing feather mass (Remisiewicz et al. 2009). Both old and fully grown new feathers were given a moult index of 0. PFMM of the 10 primaries were summed which gave a measure of the relative size of the wing gap for individual birds.

Moult in relation to weather pattern

To relate the onset and duration of moult in Kenya and India with rainfall patterns at the sites where birds were trapped, the averages of four daily rainfall and temperature readings were obtained from the National Oceanic and Atmospheric Administration (NOAA) stations in each of the two countries ( http://www.ncdc.noaa.gov/oa/climate/climatedata.html). The data from Kenya was from the NOAA station on the coast at Malindi (03°23′S, 40°12′E) and the data from India was from the station in Pamban (09°16′N, 79°18′E), ca. 6 km east of the Mandapam study site. Relationship between the timing of moult and rainfall pattern was obtained using an extension of the maximum likelihood model of Underhill and Zucchini (1988) which allows the inclusion of covariates in the model (Erni et al. 2012,  http://cran.r-project.org/package=moult).

RESULTS

The estimated start date of moult in Kenya using the PFMG of the tract of all primaries combined was 6 October, the duration was 137 days, and end date of moult was 20 February (Figure 1). The estimated standard deviation of the start date of moult was 39.5 days; thus 95% of birds were estimated to start moult between 21 July and 23 December. In India, the estimated start date of moult estimated from the PFMG of the tract of all primaries was 26 July, duration was 145 days, and moult end date was 18 December (Table 1, Figure 1). The estimated standard deviation of start date was 31.5 days; 95% of birds were estimated to start moult between 18 May and 03 October. The annual estimates of the start date of moult in Kenya varied from 24 July to 21 October. In India the annual estimate of the start date of moult ranged from 4 July to 26 September.

Figure 1.

Temporal distribution of the Proportion Feather Mass Grown (PFMG) of adult Curlew Sandpipers moulting in Kenya and India. Thick black line reflects the course of moult from estimated start to end dates; thin lines are 95% confidence intervals.

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Figure 2.

Growth lines of primary feathers P1–P10 of Curlew Sandpipers in Kenya and India, showing the amount of the primary mass produced between start and end date of each primary development. Slopes of the lines reflect the growth rate of each primary.

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In Kenya, estimated starting date of P1 and moult end date of P10 were 2 October and 7 February, respectively, suggesting an overall moult duration of 128 days (Table 1; Figure 2). In India, these dates were 15 August and 30 November, suggesting a moult duration of 107 days (Table 1; Figure 2). There was a difference in the estimated start date and duration of moult from the tract of 10 primaries combined and the estimates obtained when considering the moult of individual primary feathers. In Kenya, there was a two-day difference in the moult start date, nine-day difference in the moult duration, and a 13-day difference in the end date of moult between the two methods (Table 1). In India, there was a 21-day difference in the start date of moult, a 38-day difference in the moult duration, and a 16-day difference in the end date of moult from the two methods (Table 1). The temporal distribution of moult scores indicates that the progress of moult in Kenya was faster towards the end of moult compared to the beginning, whereas in India, the progress of moult was In Kenya, the duration of moult of individual primaries increased from 10 days (P1) to 23 days (P10) (Table 1), while in India duration of moult of P1 was also 10 days increasing to 40 days for P10 (Table 1). In Kenya the interval between the shedding of neighbouring primaries increased from nine days between Pl and P2 to a maximum of 23 days between P8 and P9 while the interval between the shedding of neighbouring primaries in India ranged from one day between P1 and P2 to a maximum of 12 days between P9 and P10. The shorter interval between the moult of primaries coupled with the longer duration of moult of individual primaries in India compared to Kenya resulted in greater overlap in the growth of successive primaries (Figure 3). Consequently, the average number of primaries growing simultaneously in India was larger (average: 2.3, range: 1.4–3.2) than the average number in Kenya (average: 1.6; range: 1.1–2.4) and this difference was statistically significant (t-test: t = -2.27, P = 0.03, df = 18; Figure 3).

Table 1.

Primary moult estimates of individual primaries of the Curlew Sandpipers in Kenya and India and overall population estimate of the start date and duration of moult estimated from the Proportion of feather mass grown (PFMG) of all 10 primaries combined.

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slower towards the end compared to the beginning. Both deviations from the assumed constant progress of moult assumption lead to an overestimation of the duration of moult. Therefore, in discussing the difference in the estimates of moult between Kenya and India, we will refer to estimates obtained from individual primaries.

Rate of moult

By dividing the relative mass of each primary by its moult duration, the PFMG/day of each primary was estimated (Table 1). By summing up the PFMG/day for all feathers growing simultaneously on any given day, the daily rate of feather material production for the entire moult period could be modelled, a method demonstrated by Remisiewicz et al. (2009). The daily rate of feather material growth in Kenya was estimated at an average of 0.88%/day (Table 1), less than the estimated rate of PFMG/day in India of 0. 93%/day (Kolmogorov—Smirnov test: D = 0.39, P = 0.019). The daily rate of feather material grown was relatively uniform at the beginning and middle of moult in Kenya; this is demonstrated by the almost linear cumulative curve of PFMG until a value of c. 76% is reached; thereafter, towards the end of moult in Kenya, rate of feather material growth accelerated (Figure 4).

Figure 3.

Average number of primary feathers growing simultaneously during the moult of individual primaries (P1–P10). Whiskers represent 95% confidence intervals.

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In contrast, in India, the opposite pattern was observed; moult progress slowed down in India towards the end of moult (Figure 4). Consequently, in Kenya the 25th percentile of primary feather mass production was achieved after 33 days (average 0.82 PFMG/day), 50th percentile in 41 days (average of 0.65 PFMG/day), 75th percentile in 33 days (average of 0.87 PFMG/day), and 100th percentile in 22 days (average of 1.10 PFMG/day). In India, the 25th percentile of primary feather mass production was achieved after 21 days (average 1.21 PFMG/day), 50th percentile in 28 days (average 0.97 PFMG/day), 75th percentile in 27 days (average 0.97 PFMG/day), and 100th percentile in 34 days (average 0.80 PFMG/day). These are close to the values obtained by assuming constant rate of feather material deposition despite the fluctuation of feather material growth above and below the overall average.

Proportion of feather mass missing

The average proportion of feather missing (PFMM) per day in Kenya was estimated at 0.028, the average of the daily minima was 0.01 and the average of the daily maxima was 0.05 (Figure 5). This means that, on aver- age, 2.8% of the mass of primary feathers was missing during moult at any one time. The average PFMM/day in India was 0.020 (average range: 0.011–0.013); 2.0% of the mass of primary flight feathers was missing during moult at any one time. The average PFMM/day was negatively correlated with average PFMG/day in both Kenya (r = -0.24, P = 0.01) and India (r = -0.54, P < 0.001). PFMM in Kenya was not correlated with the average number of primaries in moult (r = -0.12, P = 0.08) whereas in India there was a negative correlation between PFMM and the average number of primaries in moult (r = -0.647, P < 0.001).

Figure 4.

Modelled cumulative rate of percentage feather mass grown (dotted lines) in Kenya and India estimated from daily values of the moult parameters of individual primary feathers (Table 1). Thin lines are the linear regression lines fitted through the daily values of PFMG. Vertical arrows and day numbers indicate the interval in days between quartiles.

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Timing of moult in relation to rainfall pattern

The start dates of moult of the Curlew Sandpiper in Kenya and India corresponded well with rainfall seasons in these areas. The onset of primary moult for individual birds in Kenya was negatively related to average rainfall in June (F1,494 = 20.25, slope = -0.49, P = 0.019; Figure 6). The average rainfall in August was a significant predictor of the start of moult in India with moult starting relatively later for individual birds facing high August rainfall (F1,1767 = 9.09, slope = 0.88, P = 0.002; Figure 6). Curlew Sandpipers in India thus commence moult as soon as they arrive, coinciding with the Monsoon rains which extend from mid-August through December (Guhathakurta & Rajeevan 2006, Indian Meteorological Department 2010).

Figure 5.

The relationship between the size of the wing gap during moult expressed as a Proportion of Feather Mass Missing (PFMM) and Proportion of Feather Mass Grown (PFMG). The pattern of parallel lines is a consequence of the recording of moult scores for individual feathers to integer values.

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DISCUSSION

Pattern of primary moult

Two contrasting moult strategies were employed by Curlew Sandpipers in Kenya and India: a rapid moult of a single feather at a time in Kenya versus a slow moult of several feathers simultaneously in India. This difference in moult strategies between Kenya and India suggest that either different sub-species are involved or conditions on the non-breeding areas are influencing the moult patterns. Since no geographic variation or sub-species have been found in the Curlew Sandpiper (Wennerberg & Burke 2001), these moult strategies are likely an adaptation by different populations to climatic conditions at these two locales. Despite this difference, both strategies are aimed at maintaining a uniform rate of feather material growth and, possibly, minimizing wing gap during moult. In Kenya, for instance, the constant daily rate of feather material growth was possible because of the overlap in the growth of the smaller inner primaries and little overlap in the growth of the larger outer primaries. The seven days overlap in the growth of P1 and P2 resulted in a combined PFMG/day of 0.85, a value similar to the amount of feather material deposited per day during the moult of P9 and P10 (0.89). This value is also close to the overall average daily feather material deposition throughout the moult period (0.88%/day).

Figure 6.

Relationship between the start date of moult and rainfall pattern in Kenya and India. Each dot represents one year, numbers above and below error bars are sample sizes.

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On the other hand, the larger number of primaries moulted simultaneously in India would normally imply that the amount of feather material deposited daily would increase progressively during moult especially towards the end of moult when the larger primaries are growing simultaneously. But the lower daily rate of feather material grown during the replacement of the outer five primaries (compared to Kenya) ensured a fairly constant rate of daily feather material growth.

On average, the amount of feather material missing was estimated at 3% in Kenya and 2% in India. This is smaller than the PFMM reported for adult and subadult (10% and 11% respectively) Wood Sandpipers (Remisiewicz et al. 2009). The average number of primaries growing simultaneously in the Wood Sandpiper was estimated at 2.4 (Remisiewicz et al. 2009), similar to the 2.3 found in the Curlew Sandpiper in India, although larger than the number in Kenya, 1.6. The size of wing gap could either be due to the number of primaries moulted simultaneously and/or the wing area (Hedenström 1998). In this instance, the difference in the amount of feather material missing might be a result of the Wood Sandpiper having a longer wing span (40–42 cm) thus larger wing area compared to the Curlew Sandpiper (50–56 cm), despite both species being of similar size at 19–22 cm (Cramp & Simmons 1983).

The overall pattern of moult of Curlew Sandpipers in Kenya and India is similar to the pattern described in Curlew Sandpipers in southern Africa (Elliott et al. 1976), north-western and south-eastern Australia (Minton et al. 2006), Tasmania (Thomas & Dartnall 1971) and Morocco (Pienkowski et al. 1976). The three inner primaries are moulted in quick succession, while only two or even one feather are moulted at a time towards the end (Figure 3). This pattern has also been observed in similar-sized waders such as Sanderling Calidris alba (Underhill 2003), and Wood Sandpiper Tringa glareola (Remisiewicz et al. 2009). It is likely to be an adaptation by these species to minimize the size of wing gap during moult because gaps in the wing compromise flight efficiency (Tucker 1991, Swaddle & Witter 1997, Hedenström & Sunada 1999).

Timing of moult

Based on the estimated start date of moult of P1, moult on average started about two months earlier in India (15 August) compared to Kenya (2 October). Our estimated start date of moult in Kenya was similar to the preliminary result presented by Pearson (1984) of adult Curlew Sandpipers at Lake Magadi. To the best of our knowledge, there are no prior estimates of moult start dates for Curlew Sandpipers in India to which we can compare our results, but in relation to the estimate start date of moult in the Grey Plover on 1 September (Balachandran et al. 2000), Curlew Sandpipers started moult about two weeks earlier.

Also, based on the start date of moult of P1 and moult end date of P10, moult duration of 107 days in India was shorter than moult duration in Kenya of 128 days (Table 1). In India, the short duration of moult was achieved by shortening the interval between shedding of individual primaries, resulting in the growth of several feathers simultaneously; a tactic used by Grey Plovers (Serra 2000, Serra & Underhill 2006) and Ruddy Turnstone Arenaria interpres (Underhill 2003) to increase the rate of feather material growth. Birds in Kenya compensate for the late start of moult by increasing the rate of feather material growth, achieved through the increased growth rate of individual feathers rather than the number of feathers moulted simultaneously (Table 1). Overall, birds in Kenya and India completed moult in February and December, respectively, giving them sufficient time to prepare for northward migration to the breeding grounds.

The cost of an early moult start, especially within the tropics, is that strong sunlight coupled with a highly saline or alkaline environment causes new flight feathers to wear out within a few months (Evans 1976). Birds moulting early will likely migrate to their breeding grounds with fairly worn feathers. For Curlew Sandpipers in India, the early moult start might incur negligible fitness cost because of the short migratory distance to the breeding grounds compared to the population in, say, Australia. Also, the slow moult of individual primaries would result in the production of high quality feathers (Serra 2001). Conversely, by delaying start of moult, Curlew Sandpipers in Kenya could potentially increase the likelihood of migrating to the breeding grounds with fairly new feathers but the rapid moult of individual primaries would result in lower quality of feathers (Serra 2001) than would be otherwise.

Timing of moult in relation to rainfall patterns

The contrasting rainfall patterns between Kenya and India explain the differences in the onset of moult in these areas. Most regions in Kenya experience two rainy seasons: the “long rains” extends roughly from March to June, and the “short rains” from approximately October to December (Kenyan Meteorological Department 2010). Adult Curlew Sandpipers arrive in Kenya in August (Pearson 1974), during the dry period between the two rainy seasons. If the amount of rain in June was high, then moult started early and vice versa (Figure 6).

While there is no specific information about the timing of arrival of the Curlew Sandpiper in India, personal observations (S. Balachandran unpubl. data) indicate that birds arrive from mid-August. It would appear then that adult Curlew Sandpipers commence moult almost immediately after arriving so the timing of moult coincides with the monsoon (rainfall) season which extends from September through December (Indian Meteorological Department 2010).

Studies show that the diet of the Curlew Sandpipers consists mostly of the larvae and imagos of Coleoptera, Brachicera sp., Daphnia sp., and Bolboschoenus sp. (Puttick 1979, Barker & Vestjens 1989). In India, Curlew Sandpipers have also been observed feeding on Artemia sp, which are abundant during the dry season in saltpans of Point Calimere (S. Balachandran, unpubl. data). At both high and low temperatures, the hatchability of eggs and larval development of these insect species is affected (Howe 1959, Lee & Denlinger 1991). Also, high temperatures coupled with low precipitation results in high evapotranspiration which leads to the hardening of the substrate from which prey has to be extracted. This might explain why Curlew Sandpipers in Kenya delayed moult until the second rain season in October. Although Curlew Sandpipers in India mostly depend on the intertidal sand flats where the food resources are renewable on daily basis, the onset of northeast monsoon (retreating monsoon) in November, a period characterized by the rapid decline in rain, high daily temperatures and dry northeast winds (Indian Meteorological Department 2010), might reduce food availability, accounting for the early completion of moult in India. It might also explain why the moult of the outer five primaries was slower in India compared to the rate observed in Kenya. Empirical findings have demonstrated that food shortage slows moult in certain species. Riddle (1908) found that the linear growth rate of the feathers of Ring Doves Streptopelia risoria became much slower after three days of starvation. Ashmole (1962) found that in a population of the Black Noddy Anous tenuirostris primary moult was slower when food was inferred to be scarce than when it was more plentiful.

However, there is also the possibility that the early start of moult in India is due to the distance between the breeding and non-breeding areas. Studies of moult in other waders indicate that birds wintering in the northern Hemisphere start early and complete early than the southern Hemisphere (Serra 2000, Summers et al. 2010). The slowing down of moult observed in India could be that an early moult start afforded the birds plenty of time to complete moult. Johnson and Minton (1980) found that Dunlins initiating moult relatively early, moulted at a slower rate such that moult was completed more or less simultaneously with birds that started at a later date.

In conclusion, our study shows that the speed of moult in the Curlew Sandpiper is governed by the rate of moult of individual feathers as well as the number of primaries moulted simultaneously. There is circumstantial evidence to suggest that food availability at the non-breeding areas in Kenya and India, which is related to rainfall patterns in these regions, affected the rate of feather material growth. If, indeed, the timing of moult is sensitive to rainfall patterns, it suggests that moult is a potential variable at measuring the impacts of climate change on life-history traits within the annual cycle of migratory birds.

ACKNOWLEDGEMENT

We thank M. Remisiewicz and S. Kuyper for comments on an earlier draft. Financial support to YB was from the Leventis Conservation Foundation and the postgraduate fellowship of the University of Cape Town, LGU acknowledges support from the Earthwatch Institute and the National Research Foundation.

REFERENCES

1.

N.P. Ashmole 1962. The Black Noddy Anous tenuirostrk on Ascension Island. Part I. General biology. Ibis 103: 235–273. Google Scholar

2.

S. Balachandran , S.A. Hussein & L.G. Underhill 2000. Primary moult, biometrics, mass and age composition of Grey Plovers Pluvialis squatarola in southeastern India. Bird Study 47: 82–90. Google Scholar

3.

R.D. Barker & W.J.M. Vestjens 1989. Foods of Australian birds Vol. 1: non-passerines. CSIRO, Canberra. Google Scholar

4.

Y. Barshep 2011. Migration and moult strategies of the Curlew Sandpiper. PhD thesis, University of Cape Town. Google Scholar

5.

Y. Barshep , C.D.T. Minton , L.G. Underhill & M. Remisiewicz 2011. The primary moult of Curlew Sandpipers Calidris ferriginea in north-western Australia shifts according to breeding success. Ardea 99: 43–51. Google Scholar

6.

S. Cramp & K.E.L. Simmons (eds) 1983. The Birds of the Western Palearctic, 3. Oxford University Press, Oxford, Google Scholar

7.

J. del Hoyo , A. Elliot & J. Sargatal (eds) . 1996. Handbook of the Birds of the World Vol.3: Hoatzin to Auks. Lynx Edicions, Barcelona. Google Scholar

8.

M.W. Dietz , S. Daan & D. Masman 1992. Energy requirements for molt in the Kestrel Falco tinnunculus. Physiol. Zool. 65: 1217–1235.  Google Scholar

9.

C.C.H. Elliott , M. Waltner , L.G. Underhill , J.S. Pringle & W.J.A. Dick 1976. The migration system of the Curlew Sandpiper Calidris ferruginea in Africa. Ostrich 47: 191–213. Google Scholar

10.

B. Erni , H-D. Oschadleus , B.T. Bonnevie , R. Altwegg & L.G. Underhill 2012. Moult: An R Package to Analyse Moult in Birds. J. Stat. Software 52: 1–23. Google Scholar

11.

P.R. Evans 1976. Energy balance and optimal foraging strategies in shorebirds: some implications for their distributions and movements in the non-breeding season. Ardea 64: 117–139. Google Scholar

12.

H.B. Ginn & D.S. Melville 1983. Moult in birds. BTO Guide, 19. British Trust for Ornithology, Tring, England. Google Scholar

13.

P. Guhathakurta & M. Rajeevan 2006. Trends in the rainfall pattern over India. National Climate Centre Research Report No: 2, India Meteorological Department. Google Scholar

14.

E. Haukioja 1971. Processing moult card data with reference to the Chaffinch Fringilla coelebs. Ornis Fenn. 48: 25–32. Google Scholar

15.

A. Hedenström 1998. The relationship between wing area and raggedness during molt in the willow warbler and other passerines. J. Field Ornithol. 69: 103–108. Google Scholar

16.

A. Hedenström & S. Sunada 1999. On the aerodynamics of moult gaps in birds. J. Exp. Biol. 202: 67–76. Google Scholar

17.

R.W. Howe 1959. Studies on beetles of the family Ptinidae. XVII.-Conclusions and additional remarks. B. Entomol. Res. 50: 287–326. Google Scholar

18.

B.J. Hoye & W.A. Buttemer 2011. Inexplicable inefficiency of avian molt? Insights from an opportunistically breeding arid-zone species, Lichenostomus penicillatus. PLoS ONE 6(2): e16230. Google Scholar

19.

India Meteorological Department. 2010.  http://www.imd.ernet.in/section/nhac/dynamic/TABLE-lhtm. Retrieved January 2010. Google Scholar

20.

C. Johnson & C.D.T. Minton 1980. The primary moult of the Dunlin Calidris alpina at the Wash. Ornis Scand. 11: 190–195. Google Scholar

21.

Kenyan Meteorological Department. 2010.  http://www. meteo.go.ke/obsv/.Retrieved November 2010. Google Scholar

22.

M. Klaassen 1995. Moult and basal metabolic costs in males of two subspecies of stonechats: The European Saxicola torquata rubicula and the east African S. t. axillaris. Oecologia 104: 424–432. Google Scholar

23.

R.E. Lee & D.L. Denlinger 1991. Insects at Low Temperature. Chapman and Hall, New York. Google Scholar

24.

C.D.T. Minton , K.G. Rogers , R.E. Jessop , D.M. Graham & A.D. Lowther 2006. Biometrics and moult of the Curlew Sandpiper Calidris ferruginea in Australia. Int. Wader Studies 19: 195–204. Google Scholar

25.

R.I.G. Morrison 1976. Moult of the Purple Sandpiper Calidris maritima in Iceland. Ibis 118: 237–246. Google Scholar

26.

H.D. Oschadleus 2005. Pattern of primary moult in the weavers, ploceidae. PhD thesis University of Cape Town,, Cape Town. Google Scholar

27.

H.D. Oschadleus & L.G. Underhill 2006. Breeding seasonality and primary moult parameters in Euplectes species in South Africa. Ostrich 77: 141–151. Google Scholar

28.

D.J. Pearson 1974. The timing of wing moult in some Palaearctic waders wintering in East Africa. Wader Study Group Bull. 12: 6–12. Google Scholar

29.

D.J. Pearson 1984. The moult of the Little Stint Calidris minuta in the Kenyan rift valley. Ibis 126: 1–15. Google Scholar

30.

M.W. Pienkowski , P.J. Knight , D.J. Stanyard & F.B. Argyle 1976. The primary moult of waders on the Atlantic coast of Morocco. Ibis 118: 347–365. Google Scholar

31.

A.J. Prater 1981. A review of the patterns of primary moult in Palearctic waders (Charadrii). In: Cooper, J. (ed.) Proceedings of the symposium on Birds of the Sea and Shore, 1979. African Seabird Group, Cape Town, pp 393–409. Google Scholar

32.

A.J. Prater , J.H. Marchant & J. Vuorinen 1977. Guide to the identification and ageing of Holarctic waders. British Trust for Ornithology, Tring. Google Scholar

33.

G. Puttick 1979. Foraging behaviour and activity budgets of Curlew Sandpipers. Ardea 67: 111–122. Google Scholar

34.

M. Remisiewicz , A.J. Tree , L.G. Underhill , A. Gustowska & P.B. Taylor 2009. Extended primary moult as an adaptation of adult Wood Sandpipers Tringa glareola to their use of freshwater habitats of southern Africa. Ardea 97: 271–280. Google Scholar

35.

O. Riddle 1908. The genesis of fault-bars in feathers and the cause of alternation of light and dark fundamental bars. Biol. Bull. Wood's Hole 14: 328–370. Google Scholar

36.

S. Rohwer , R.E. Ricklefs , V.G. Rohwer & M.M. Copple 2009. Allometry of the duration of flight feather molt in birds. PLoS Biology 7(6): e1000132. Google Scholar

37.

L. Serra 2000. How do Palearctic grey plovers adapt primary moult to time constraints? An overview across four continents. Wader Study Group Bull. 93: 11–12. Google Scholar

38.

L. Serra 2001. Duration of primary moult affects primary quality in Grey Plovers Pluvialis squatarola. J. Avian Biol. 32: 277–380. Google Scholar

39.

L. Serra & L.G. Underhill 2006. The regulation of primary moult speed in the Grey Plover, Pluvialis squatarola. Acta Zool. Sinica 52 Suppl: 451–455. Google Scholar

40.

R.W. Summers 1980. On the rate of change of moult scores in waders. Wader Study Group Bull. 28: 24. Google Scholar

41.

R.W. Summers , L.G. Underhill , M. Nicoll , K-B. Strann & S.Ø. Nilsen 2004. Timing and duration of moult in three populations of Purple Sandpipers Calidris maritima with different moult/migration patterns. Ibis 146: 394–403. Google Scholar

42.

R.W. Summers , L.G. Underhill , M. Waltner & R.L. Swarm 2010. Differences in biometrics and moult of non-breeding Red Knots Calidris canutus in southern Africa and Scotland reflect contrasting climatic conditions. Ibis 152: 127–135. Google Scholar

43.

J.P. Swaddle & M.S. Witter 1997. The effects of molt on the flight performance, body mass and behaviour of European Starlings (Sturnus vulgaris): an experimental approach. Can. J. Zoolog. 75: 1135–1146. Google Scholar

44.

D.G. Thomas & A.J. Dartnall 1971. Moult of the Curlew Sandpiper in relation to its annual cycle. Emu 71: 153–158. Google Scholar

45.

V.A. Tucker 1991. The effect of molting on the gliding performance of a Harris' Hawk (Parabuteo unicinctus). Auk 108: 108–113. Google Scholar

46.

L.G. Underhill 2003. Within Ten Feathers: Primary Moult Strategies of Migratory Waders (Charadrii). In: P. Berthold , E. Gwinner & E. Sonnenschein (eds) Avian Migration. Springer-Verlag, Berlin, pp187–197. Google Scholar

47.

L.G. Underhill & W. Zucchini 1988. A model for avian primary moult. Ibis 130: 358–372. Google Scholar

48.

LG Underhill & R.W. Summers 1993. Relative masses of primary feathers in waders. Wader Study Group Bull. 71: 29–31. Google Scholar

49.

L.G. Underhill & A. Joubert 1995. Relative masses of primary feathers. Ring. Migr. 16: 109–116. Google Scholar

50.

L. Wennerberg & T. Burke 2001. Low genetic differentiation between Curlew Sandpiper (Calidris ferruginea) populations with highly divergent migratory directions shown by mitochodrial DNA and microsatellite analysis. PhD thesis Lund University,, Sweden. Google Scholar

51.

Y. Barshep , L.G. Underhill , S. Balachandran & D.J. Pearson 2013. Conditions on the non-breeding areas affect primary moult strategy of the Curlew Sandpiper Calidris ferruginea. Ardea 101: 13–22. Google Scholar

Appendices

SAMENVATTING

De meeste steltlopers ruien hun slagpennen buiten het broedgebied. Dit onderzoek gaat in op de vraag hoe de rui van de grote slagpennen aansluit bij de plaatselijke voedselomstandigheden. De onderzochte soort betrof de Krombekstrandloper Calidris ferruginea, een noordelijk broedende steltloper die grote afstanden aflegt tussen broedgebied en overwinteringsgebied. Relevante maten van de rui (begin, duur en spreiding) werden geschat met behulp van een model ontwikkeld door Underhill en Zucchini (1988). Het voordeel van dit model is dat ook de invloed van covariabelen geschat kan worden. Bij dit onderzoek was dat het neerslagpatroon. Het onderzoek werd uitgevoerd in Kenia en India. In Kenia begon de rui van de grote slagpennen op 2 Oktober en duurde 128 dagen. Het begin viel eerder in de tijd naarmate er meer regen in juni was gevallen. In India begon de rui op 15 augustus en duurde 107 dagen. Hoe meer regen er in augustus viel, des te later begon de rui. Er waren bovendien aanwijzingen dat de groeisnelheid van de grote slagpennen afhing van het voedselaanbod in het ruigebied. De auteurs veronderstellen dat het verschuiven van de ruiperiode met de hoeveelheid neerslag een aanpassing is om te ruien op een moment dat het voedselaanbod het grootst is. Dit betekent dat de Krombekstrandloper zich goed leent om de invloed van klimaatverandering op de biologie van trekvogels te bestuderen.

(JP)

Yahkat Barshep, Les G. Underhill, S. Balachandran, and David J. Pearson "Conditions on the Non-Breeding Areas Affect Primary Moult Strategy of the Curlew Sandpiper Calidris ferruginea," Ardea 101(1), 13-22, (1 May 2013). https://doi.org/10.5253/078.101.0114
Received: 25 June 2012; Accepted: 1 January 2013; Published: 1 May 2013
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