DOI: 10.1111/j.1472-4642.2008.00480.x © 2008 The Authors
732
Journal compilation © 2008 Blackwell Publishing Ltd www.blackwellpublishing.com/ddi
Diversity and Distributions, (Diversity Distrib.)
(2008)
14
, 732–741
BIODIVERSITYRESEARCH
ABSTRACT
Dunlin
Calidris alpina
is one of the most abundant shorebirds using coastal habitatsin the East Atlantic migratory flyway, that links arctic breeding locations (Greenlandto Siberia) with wintering grounds (West Europe to West Africa). Differential migrationand winter segregation between populations have been indicated by morphometricsand ringing recoveries. Here, we analyse the potential of genetic markers (mitochondrialDNA – mtDNA) to validate and enhance such findings. We compared mtDNAhaplotypes frequencies at different wintering sites (from north-west Europe to WestAfrica). All birds from West Africa had western (European) haplotypes, while theeastern (Siberian) haplotypes were only present in European winter samples, reachinghigher frequencies further north in Europe. Compilation of published results frommigrating birds also confirmed these differences, with the sole presence of Europeanhaplotypes in Iberia and West Africa and increasingly higher frequencies of Siberianhaplotypes from south-west to north-west Europe. Comparison with publishedhaplotype frequencies of breeding populations shows that birds from Greenland,Iceland, and North Europe were predominant in wintering grounds in West Africa,while populations wintering in West Europe originated from more eastern breedinggrounds (e.g. North Russia). These results show that genetic markers can beused to enhance the integrative monitoring of wintering and breeding populations,by providing biogeographical evidence that validate the winter segregation ofbreeding populations.
Keywords
Bird migration, geographical segregation, genetic markers, integrative monitoring,
shorebirds.
INTRODUCTION
Bird migration is a complex and adaptable life and survival strat-
egy (Berthold, 2001), used by a large variety of species, including
most of the species of shorebirds worldwide (del Hoyo
et al
.,
1996). Comparison of migratory ecology of these species reveals
a large variation in migration patterns (Pienkowski & Evans,
1984). In some species, this variability also occurs between popula-
tions, sex, or age classes that may be segregated, fully or partially,
on their wintering grounds (Nebel
et al
., 2002). Such intraspecific
differences are even more interesting when more than one popu-
lation occurs on the same migratory flyway, since populations may
mix during migration and different patterns of spatial segregation
can occur, at the intrapopulation or interpopulation level. That
may be the case of dunlin
Calidris alpina
populations that use the
‘East Atlantic flyway’. This flyway connects circumpolar breeding
areas from Greenland to Siberia with wintering areas in West
Europe and West Africa (Smit & Piersma, 1989).
The dunlin is a long distance migrant shorebird with a
circumpolar breeding distribution (del Hoyo
et al
., 1996; Clements,
2000). At least three subspecies (
C. a. arctica
,
C. a. schinzii
, and
C. a. alpina
) migrate along the East Atlantic flyway to reach their
wintering areas ranging from north-west Europe (British Isles
and South Scandinavia) to West Africa (del Hoyo
et al
., 1996).
C. a. arctica
breeds in north-east Greenland,
C. a. schinzii
in
Iceland to Baltic and South Scandinavia, and
C. a. alpina
in
1
CIBIO, Centro de Investigação em
Biodiversidade e Recursos Genéticos, Campus
Agrário de Vairão, 4485-661 Vairão, Portugal,
2
Departamento de Biología, Facultad de
Ciencias del Mar y Ambientales, Universidad de
Cádiz, Apartado 40, 11510 Puerto Real, Spain,
3
National History Museum, University of Oslo,
PO Box 1172 Blindern, N-0318 Oslo, Norway
*Correspondence: Ricardo J. Lopes, CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Campus Agrário de Vairão, 4485-661 Vairão, Portugal. E-mail: [email protected]†Present address: Buskerud fylkeskommune, Fylkeshuset, NO-3020 Drammen, Norway
Blackwell Publishing Ltd
Geographical segregation in Dunlin
Calidris alpina
populations wintering along the East Atlantic migratory flyway – evidence from mitochondrial DNA analysis
Ricardo J. Lopes
1
*, Francisco Hortas
2
and Liv Wennerberg
3,
†
Geographical segregation of wintering Dunlin
© 2008 The Authors
Diversity and Distributions
,
14
, 732–741, Journal compilation © 2008 Blackwell Publishing Ltd
733
North Scandinavia to North Russia east to river Kolyma (del
Hoyo
et al
., 1996).
It is known that populations from North Scandinavia, Russia,
and Siberia mainly winter in the northern areas of the winter
range, while populations from Greenland, Iceland, and north-
west Europe are found at southern wintering areas in West Africa
(Pienkowski & Evans, 1984). These conclusions were based
mainly on analysis of morphometrics and ringing recoveries
(Pienkowski & Dick, 1975; Wymenga
et al
., 1990). However, each
of these methods has limitations (Lopes
et al
., 2006). Morpho-
logical measurements differ between subspecies, but in this case,
they are difficult to use for population identification since
substantial overlap between subspecies occurs (Greenwood, 1986).
Given that dunlin shows sexual dimorphism, morphometric
data analyses are improved by using sexed birds (Lopes
et al
.,
2006), but since most migrating and wintering dunlins are difficult
to sex in the field (Prater
et al
., 1977), the majority of analysis, so
far, have been based on unsexed birds. Recoveries of ringed birds
have also been valuable for revealing stopover and wintering sites
along the East Atlantic flyway. Unfortunately, their potential for
assignment of breeding origin has been small due to the relatively
low number of ringing recoveries from breeding areas in the
Arctic or wintering grounds in West Africa (e.g. Greenwood,
1984; Gromadzka, 1989; Wymenga
et al
., 1990; Gromadzka &
Ryabitsev, 1998).
Genetic population markers (see Wink, 2006 for a review)
have also a great potential for monitoring wintering populations.
The mitochondrial DNA (mtDNA) has proved to be an effective
marker for identifying large-scale differences between histori-
cally isolated populations (e.g. Wenink
et al
., 1996; Wennerberg,
2001a). This method as well as microsatellites (Wennerberg,
2001b; Marthinsen
et al
., 2007), nuclear DNA sequences (Wenner-
berg
et al
. in press), single nucleotide polymorphism (SNP),
amplified fragment length polymorphisms (AFLP) (Marthinsen
et al
., 2007), and intersimple sequence repeats (IRSS), among
others, are still not fully exploited and they can enhance the
resolution of assignment of individuals to populations.
So far, mtDNA has already been used for population iden-
tification of dunlin on a global scale (Wenink & Baker, 1996;
Wennerberg, 2001a). For breeding areas included in the East
Atlantic flyway, sequencing of the control region (CR) from
mtDNA, performed by Wenink
et al
. (1993), revealed the presence
of two major lineages or haplogroups – ‘European’ (Eur) and
‘Siberian’ (Sib), each one comprising of several similar haplotypes
(Fig. 1). The frequency of European haplotypes decreases
continuously with higher longitude of the breeding area (Fig. 2),
while Siberian haplotype frequency increases (Wennerberg,
2001b). By comparing the haplotype composition in flocks of
non-breeding dunlin with those of breeding populations,
their breeding origin can be estimated (Wenink & Baker, 1996;
Tiedemann, 1999; Wennerberg, 2001a; Lopes
et al
., 2006).
Although this methodology has been available for some years,
applications were mainly focused on migrating bird assemblages
(Wenink & Baker, 1996; Tiedemann, 1999; Wennerberg,
2001a,b) and despite their relevance, integrative analyses of winter
populations have been few so far (Lopes
et al
., 2006). This is most
likely due to the logistics involved in getting DNA samples from
distant winter sites (e.g. west Africa), and because it is usually
more difficult to catch waders during winter conditions. Further-
more, the published results, which focus on single sites, need to
be integrated and interpreted on a larger geographical scale, as
shown in Wennerberg (2001a).
The main goal of this paper was to revise and update our
current knowledge of dunlin winter distribution along the
East Atlantic flyway using genetic markers. The presence of
geographical segregation between wintering assemblages was
investigated using samples of birds that winter in different areas
along the East Atlantic flyway and potentially mix and interact on
migration stopover sites. Our rationale is that an accurate validation
of baseline data is necessary to address biogeographical patterns
of dunlin winter distribution at the subspecies and population
level. While this is already made for some parameters, such as
species abundance and distribution (see Wetlands International,
2002), at the subspecies and population level this kind of data
will enhance our understanding of the biogeographical dynamics of
this migratory shorebird. Also, it is relevant for the conservation
and monitoring of these non-breeding populations (Piersma &
Lindström, 2004) and from site-based to flyway-based conservation
of the habitats they rely on.
METHODS
Population sampling
Dunlins were sampled at different sites along their wintering
range in the East Atlantic flyway (Sweden, UK, Portugal, South
Spain, Morocco, and Guinea-Bissau) from 1995 to 2007
(Table 1). The birds were captured using mist-nets during night
periods, with the exception of UK (collection of dead birds).
Blood samples of 20–50
μ
L were taken from all live birds by
venipuncture of the brachial vein (muscle tissue was collected
Figure 1 Statistical parsimony network of mtDNA lineages, as implemented in TCS 1.21 (Clement et al., 2000). Lineages were joined at the 95% confidence criterion. Each nucleotide substitution between haplotypes is shown as a dot, as well as the TC substitution that is used to discriminate between Eur (European) and Sib (Siberian) haplogroups using AluI restriction enzyme. Haplotypes were described in Wenink et al. (1993) and are deposited in GenBank (accession numbers L06721 to L06755).
R. J. Lopes
et al.
© 2008 The A
uthors
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istributions
,
14
, 732–741, Journal com
pilation © 2008 Blackw
ell Publishing Ltd
Figure 2 The mtDNA haplotype frequencies of dunlin Calidris alpina sampled during winter and migration periods along the East Atlantic Flyway as well as in breeding regions. Each pie shows the proportion of European (black) and Siberian (white) haplotypes at each region. Where available, they represent pooled data collected from more than one site or date. The sample sizes are also presented next to each pie in brackets. Breeding data were assembled from Wenink et al. (1993, 1996), Wennerberg et al. (1999), Wennerberg (2001a) and updated with unpublished data (L.W., unpublished data). The East Atlantic Flyway indicative limits are shown in migration panels while the winter range (dark grey) is shown in the winter panel. In the inset panel we show the mtDNA European (Eur) haplotype frequencies during winter and on breeding with the 95% confidence limits. Adjacent numbers indicate sample sizes.
Geographical segregation of wintering Dunlin
© 2008 The Authors
Diversity and Distributions
,
14
, 732–741, Journal compilation © 2008 Blackwell Publishing Ltd
735
from dead birds). Samples were stored in 95% alcohol or in SET-
buffer (0.15
m
NaCl, 0.05
m
Tris, 0.001
m
EDTA, pH = 8.0) and
used for molecular sexing and mtDNA analysis (see below).
Additionally, previous published haplotype frequencies of
migrating and winter flocks from Wenink & Baker (1996),
Tiedemann (1999), Wennerberg (2001a), and Lopes
et al
. (2006)
were included for comparison (Table 1). They were estimated at
stopover sites in Norway, Sweden, Wadden Sea, Poland, Spain,
Portugal, and Morocco, and during winter in East Spain. We
included samples from East Spain in our analysis only for
comparison purposes, since this site may be considered to belong
to another flyway, the Mediterranean flyway. For comparison
with data from the breeding grounds, we also compiled an
updated overview of all published results from mtDNA analysis
of 280 breeding birds from 22 breeding populations (Fig. 1) from
Wenink
et al
. (1993, 1996), Wennerberg
et al
. (1999), Wennerberg
(2001a), and included unpublished additional data (L.W.,
unpublished data).
Mitochondrial DNA
DNA was extracted from blood by phenol/chloroform extraction
according to standard procedures (Sambrook
et al
., 1989) and
from muscle using the DNeasy Blood & Tissue Kit (Qiagen,
Venlo, The Netherlands). The mtDNA (segment of 295 bp from
the hypervariable control-region segment I) was amplified by
polymerase chain reaction (PCR), using the primers L98 and H401
(Wenink
et al
., 1993). The PCR contained 1.0
μ
L DNA (10 ng),
2.5
μ
L of each primer (10
μ
m
), 2.5
μ
L 10
×
PCR buffer, 5
μ
L
dNTP (1.25 m
m
of each nucleotide), 2
μ
L MgCl (1 m
m
), 0.1
μ
L
(1 unit) of
Taq
DNA polymerase (Boehringer Manheim,
Germany), and 9.3
μ
L dH
2
O. The PCR included 2 min at 94
°
C,
35 cycles of (30 s at 94
°
C, 30 s at 54
°
C, and 30 s at 72
°
C), followed
by 25 cycles of (30 s at 94
°
C, 30 s at 48
°
C, and 1 min at 72
°
C)
and finally 72
°
C for 10 min. PCR products were digested with
the restriction enzyme
Alu
I (Roche, Basel, Switzerland) for 3 h.
A nucleotide substitution at position 358 in the SIB lineages
creates an
Alu
I restriction site that is absent from the Eur lineages
sequences (Fig. 1) (Wenink
et al
., 1996; Wennerberg, 2001b). A
control sample with SIB lineage was always included to validate
the restriction reaction. The DNA fragments were separated by
electrophoresis in a 2% agarose gel containing ethidium bromide
and scanned using a FluoroImager (Molecular Dynamics,
USA). The length of each band was compared with reference
bands of all haplotypes, as well as with a size marker (1 kb DNA
ladder, Life Technologies, Gaithersburg, USA).
Table 1 Characterization of the sampled dunlin Calidris alpina populations along the East Atlantic flyway during migrations and on wintering grounds: sampling location, season, sample size, and mtDNA haplotype composition. The table includes data from this study, as well as from: (1) Wennerberg (2001a), (2) Wenink & Baker (1996), (3) Tiedemann (1999), (4) Lopes et al. (2006).
Location Country n Eur Sib % Eur Source
Autumn migration
Tromso Norway 33 25 8 76 (1)
Ottenby Sweden 136 95 41 70 (1)
Falsterbo Sweden 57 35 22 61 (1)
Gdansk Bay Poland 20 11 9 55 (1)
Gdansk Bay Poland 8 4 4 50 (2)
Wadden Sea Germany, Denmark 11 10 1 91 (3)
Wadden Sea Germany 13 7 6 54 (1)
Wadden Sea Germany, The Netherlands 14 11 3 79 (2)
Tarragona Spain 14 11 3 79 (1)
Mondego estuary Portugal 55 55 0 100 This study (1) (4)
Winter
Falsterbo Sweden 37 22 15 59 This study (1)
Wash, North Wales UK 16 11 5 69 This study
Tarragona Spain 5 2 3 40 (1)
Tagus estuary Portugal 80 63 17 79 This study (4)
Cadiz Bay Spain 28 25 3 89 This study
Sidi-Moussa Morocco 17 17 0 100 This study
Bijagos archipelago Guinea-Bissau 14 14 0 100 This study
Spring migration
Falsterbo Sweden 40 33 7 83 (1)
Wadden Sea Germany 15 13 2 87 (1)
Wadden Sea Germany, Denmark 24 16 8 67 (3)
Wadden Sea Germany, The Netherlands 1 0 1 0 (2)
Mondego estuary Portugal 48 48 0 100 This study (1) (4)
Sidi Moussa Morocco 26 26 0 100 (1)
Eur, European; Sib, Siberian.
R. J. Lopes
et al.
© 2008 The Authors
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,
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, 732–741, Journal compilation © 2008 Blackwell Publishing Ltd
Sex determination
All sampled birds were sexed using a molecular genetic sexing
method. A section of the
CHD1
gene from the sex chromosomes
was amplified by PCR, using the primers P2 and P8 (Griffiths
et al
., 1998). The PCR contained 1.0
μ
L DNA (10 ng/mL), 1.0
μ
L
primer (15 pmol), 1.0
μ
L 10
×
PCR buffer, 1.0
μ
L dNTP (1.25 m
m
of each nucleotide), 0.7
μ
L MgCl (1 m
m
), 5.2
μ
L dH
2
O, and
0.1
μ
L
Taq
polymerase (1 unit) (Boehringer Manheim, Germany).
The PCR included 2 min at 94
°
C, a touchdown procedure with
10 cycles of (30 s at 94
°
C, 30 s at 58
°
C – 1
°
C per cycle and
1 min at 72
°
C), followed by 25 cycles of (30 s at 94
°
C, 30 s at
48
°
C and 1 min at 72
°
C), and finally 72
°
C for 10 min. The PCR
products were separated by gel electrophoresis in 2% agarose gels
containing ethidium bromide, using 1 kb DNA ladder, and
scanning the gel using a FluoroImager.
Statistical analysis
Differences in haplotype frequencies between samples were tested
using Fisher exact tests (Zar, 1999), while the binomial test was used
to test differences between sex ratios (Zar, 1999; Wilson & Hardy,
2002). The 95% confidence intervals of haplotype frequencies were
also estimated. All tests and estimations were calculated using the
statistics software R 2.4 (R Development Core Team, 2006).
RESULTS
Population segregation on wintering grounds
The mtDNA haplotype frequencies of wintering dunlin populations
(Fig. 2) differed between locations along the East Atlantic flyway
(Table 2). A clear distinction was observed between West Africa,
where only European haplotypes were present, and West Europe,
which included both European and Siberian haplotypes
(increasing higher frequencies of Siberian haplotypes with latitude).
Birds wintering in Sweden and the UK, which are among the
northernmost wintering population in this flyway, had haplo-
type compositions that differed significantly from all wintering
sites further south, with the exception of South Spain (Table 2), with
a considerably higher proportion of Siberian haplotypes (Fig. 2)
and they were not significantly different from each other (Table 2).
Sex segregation on wintering grounds
The haplotype composition in the wintering sites did not differ
significantly between males and females (Table 3). With the
exception of Guinea-Bissau (Table 3), uneven sex ratios (higher
proportions of females) seemed to be present in the other winter-
ing sites (proportion of males: Sweden = 32%; UK = 37%;
Portugal = 43%; South Spain = 36%; Morocco = 35%). However,
these sex ratios were not significantly higher than 1 : 1 ratio, with
the exception of Sweden (one tailed binomial tests: Sweden
P
= 0.02; UK
P
= 0.23; Portugal
P
= 0.11; South Spain
P
= 0.09;
Morocco
P
= 0.17; Guinea-Bissau
P
= 0.60).
Genetic composition during migration
Migrating flocks also showed clear differences in mtDNA haplo-
type frequencies (Fig. 2). West Iberian and West African migrants
only had European haplotypes, while Siberian haplotypes
occurred from Iberia, Wadden Sea, Baltic Sea, to Scandinavia.
While frequencies of European haplotypes were similar between
the Wadden Sea and Scandinavia, the highest proportion of
Siberian haplotypes occurred in populations from the Gdansk
Gulf. Differences between spring and autumn migration could
be tested in the locations that were sampled in both migration
periods but no significant differences between migratory periods
were found at these sites, with the exception of Sweden (Table 4).
Assignment of breeding origin
Wintering flocks could be assigned to different breeding ranges
by comparing their haplotype frequencies with those from
breeding populations (Fig. 2). The frequency of haplotypes from
the West African winter assemblages corresponded to frequencies
found in breeding areas in the western part of the breeding range
(Greenland, Iceland, Baltic Sea) and was significantly different
from eastern (Siberia) populations (Table 5). Bird assemblages
wintering in South Spain corresponded to frequencies found in
Table 2 Probabilities obtained using Fisher exact tests, comparing mitochondrial haplotypes of wintering dunlin Calidris alpina from different locations along the winter range.
Falsterbo,
Sweden
Wash and
North Wales, UK
Tagus Estuary,
Portugal
Cadiz Bay,
Spain
Sidi-Moussa,
Morocco
Bijagos
archipelago,
Guinea-Bissau
Falsterbo, Sweden –
Wash and North Wales, UK 0.76 –
Tagus Estuary, Portugal * ** –
Cadiz Bay, Spain ** 0.12 0.27
Sidi-Moussa, Morocco ** *** * 0.28 –
Bijagos archipelago, Guinea-Bissau ** *** 0.07 0.54 (–) –
*P < 0.05; **P < 0.01; ***P < 0.001; (–) not applicable.
Geographical segregation of wintering Dunlin
© 2008 The AuthorsDiversity and Distributions, 14, 732–741, Journal compilation © 2008 Blackwell Publishing Ltd 737
North Scandinavia. In contrast to birds using Portugal during
migration, which mainly seem to originate from Icelandic breeding
areas, the Portuguese winter assemblage was similar to North
Scandinavian and North Russian breeding populations (Fig. 2).
The mtDNA haplotype frequencies from wintering birds in
Sweden and UK corresponded to breeding populations in north
Russian since their haplotype frequencies matched the ones
from North Russia and Taimyr (Fig. 2, Table 5). Probably due to
the lack of samples from important breeding areas in the east of
Yamal (Gydan Peninsula, west Taimyr), the Swedish winter
sample differed significantly from all breeding samples included
in Table 5.
DISCUSSION
To interpret the results, we must be aware that each winter flock
may not always correspond to a single breeding population.
Despite the several types of evidence of winter and migrating
Table 3 Mitochondrial DNA haplotype frequencies of wintering dunlin Calidris alpina discriminated by sex. Fisher exact tests were used to compare haplotype ratios between seasons.
Males Females
PEur Sib % Eur Eur Sib % Eur
Falsterbo, Sweden 6 6 0.50 16 9 0.64 0.49
Wash and North Wales, UK 4 2 0.67 7 3 0.68 1.00
Tagus Estuary, Portugal 25 9 0.74 38 8 0.83 0.41
Cadiz Bay, Spain 9 1 0.90 16 2 0.89 1.00
Sidi-Moussa, Morocco 6 0 1.00 11 0 1.00 (–)
Bijagos archipelago, Guinea-Bissau 7 0 1.00 7 0 1.00 (–)
*P < 0.05; **P < 0.01; ***P < 0.001; (–) not applicable. Eur, European; Sib, Siberian.
Table 4 Mitochondrial DNA haplotype frequencies of migrating dunlin Calidris alpina sampled in autumn and spring migration at the same stopover site. Fisher exact tests were used to compare haplotype ratios between seasons.
Autumn migration Spring migration
PEur Sib % Eur Eur Sib % Eur
Falsterbo, Sweden 35 22 61 33 7 83 *
Germany and Denmark, Wadden Sea 28 10 74 29 10 74 1.00
Mondego Estuary, Portugal 55 0 100 48 0 100 (–)
*P < 0.05; **P < 0.01; ***P < 0.001; (–) not applicable. Eur, European; Sib, Siberian.
Table 5 Fisher exact tests comparing mitochondrial haplotypes of breeding populations with wintering dunlin Calidris alpina from various regions along the East Atlantic Flyway (see Figs 1 and 2).
Location Eur Sib % Eur
Falsterbo,
Sweden
Wash and
North Wales, UK
Tagus Estuary,
Portugal
Cadiz Bay,
Spain
Sidi-Moussa,
Morocco
Bijagos archipelago,
Guinea-Bissau
North-east Greenland 8 0 100 * 0.13 0.35 1.00 (–) (–)
Iceland 33 0 100 *** ** ** 0.09 (–) (–)
Baltic Sea 99 0 100 *** *** *** ** (–) (–)
North Scandinavia 36 5 88 ** 0.12 0.32 1.00 0.31 0.31
North-west Russia 51 13 80 * 0.34 1.00 0.37 0.06 0.11
Taimyr 6 23 21 ** ** *** *** *** ***
Eastern areas 1 11 8 ** ** *** *** *** ***
*P < 0.05; **P < 0.01; ***P < 0.001; (–) not applicable. Eur, European; Sib, Siberian.
R. J. Lopes et al.
© 2008 The Authors738 Diversity and Distributions, 14, 732–741, Journal compilation © 2008 Blackwell Publishing Ltd
partial segregation of dunlin populations in this flyway from
ringing recovery analysis and morphometrics, there is also
evidence that populations may mix at small spatial scales in
wintering grounds (Pienkowski & Dick, 1975; Batty, 1993). The
implications of this phenomenon for the interpretation of
frequencies of mtDNA haplotypes need to be taken into account.
Nevertheless, the magnitude of this effect is higher between very
near winter sites, mainly in the north of Europe, where climate
may drive birds according to weather conditions. Also, during
migration periods, the comparison of different assemblages
of birds sampled at different times may be biased since many
different populations may use a specific site during different
periods of time.
Population segregation on wintering grounds and during migration
Our results confirm the results from morphometrics and ringing
recovery analysis, showing partial segregation of dunlin popula-
tions during winter. They confirm that assemblages of birds
with a high proportion of European haplotypes, ranging from
Greenland to Baltic area, winter mainly in West Africa. They also
confirm that flocks of birds with different proportions of
Siberian haplotype, ranging from North Scandinavia to Siberia,
winter mostly in West Europe, from northern Europe to the
Mediterranean region. If there were no mixing of wintering
flocks this would be the obvious conclusion. However, in some
parts of the wintering range, there is evidence of important
mixing of breeding populations (Pienkowski & Dick, 1975; Batty,
1993). For example, recoveries of British breeding populations
suggest that these birds winter in West Africa but a few may also
winter in the Iberian Peninsula (Wernham et al., 2002). Thus,
considering this information it is possible that the haplotype
frequencies obtained in Iberia may incorporate birds from
breeding populations with a frequency of European haplotypes
of 100%, and if so, this means that the other birds that contribute
to the Iberian wintering flocks need to originate from breeding
populations with even higher proportions of Siberian haplotypes,
such as the breeding areas in the eastern part of the breeding
range belonging to the East Atlantic flyway.
Origin assignment
Apart from confirming the presence of segregation on wintering
grounds, the results clarify the composition of winter assem-
blages in terms of breeding populations in several areas.
West Africa
None of the birds sampled in West Africa had Siberian haplotypes,
sustaining the hypothesis of absence or relative insignificance of
the nominate subspecies in the southern end of the wintering
range. In Guinea-Bissau and Mauritania it has been shown
by morphometrics analysis that the presence of the nominate
subspecies is unlikely (Wymenga et al., 1990). Places of ringing/
recovery of dunlin recovered/ringed in Mauritania were located
mostly in Great Britain and two of these records are from British
breeding birds (Greenwood, 1984; Wernham et al., 2002). Only
two records linked Norway and Sweden to Mauritania. According
to Pienkowski & Dick (1975) the migrant caught at the south tip
of Norway could have originated from Iceland or Greenland.
The importance of Morocco for the nominate species is still
unclear. Morphometrics indicated the presence of a considerable
proportion of alpina subspecies during winter (minimum
estimates of 20–25% alpina birds). Ring recoveries from Scan-
dinavia were also recorded, indicating that birds from these areas
and probably from more eastern breeding grounds were also
present (Pienkowski & Dick, 1975; Kersten et al., 1983; Green-
wood, 1984). However, our results did not record any bird with
Siberian haplotypes in Morocco, as would have been expected for
most of the eastern populations. Since the earlier analysis were
based on samples from the same site as our data (Sidi-Moussa)
and considering the lower 95% confidence limits (resulting in
80% of birds with European haplotype), the mtDNA results
show that the occurrence of 20% of the nominate subspecies is
highly unlikely.
Iberia
The genetic data clearly support the occurrence of wintering
assemblages with a high proportion of the nominate subspecies
in Iberia. This region was considered one of the main wintering
areas not only of the nominate subspecies but also of the
European populations of the schinzii subspecies. Batty (1993)
analysed bill length of birds wintering at Ria Formosa (South
Portugal) and concluded that during winter most of the over-
wintering dunlin belonged to the schinzii subspecies. However,
analysis of ringing recoveries in Portugal (Lopes et al., 2006)
show that most of the birds found in Portugal during winter
were again recorded in the eastern part of Great Britain, in the
Wadden sea, the Baltic sea area, and in northern Scandinavia,
indicating eastern migration routes.
North-west Europe
The results point to the occurrence of birds from north Russia
and Siberia during winter, confirming the evidence from the very
small number of recoveries that link breeding grounds from
northern Russia and western Siberia with North Europe. Records
were found only in Finland, Norway, Sweden, Denmark,
Germany, Great Britain, Ireland, and France (Hardy & Minton,
1980; Greenwood, 1984; Gromadzka, 1989). The other subspecies
with solely European haplotypes are supposed not to occur in
North Europe during winter, and this is also confirmed by ring-
ing recoveries. For example, Great Britain holds an important
percentage of dunlin that winter in North Europe. Of the 460
dunlins ringed as juveniles that were recovered in Britain during
winter, most were ringed in the Wadden Sea, Baltic Sea region,
and North Scandinavia (Wernham et al., 2002). No bird from
Iceland or Greenland was recorded during winter and there is
only one winter recovery of British breeding birds in Europe
(surprisingly in Great Britain).
Geographical segregation of wintering Dunlin
© 2008 The AuthorsDiversity and Distributions, 14, 732–741, Journal compilation © 2008 Blackwell Publishing Ltd 739
The winter recoveries of birds ringed at Ottenby (south-east
Sweden), a stopover site for dunlins migrating from Russia,
north Scandinavia and Baltic areas, show that north Europe
holds the major wintering grounds for these migrants (Pettersson
et al., 1986). Of 1019 winter recoveries, only nine were found in
Africa, more exactly, in Morocco. The main volume of recoveries
was recorded in Great Britain and France.
Biogeographical patterns
Overall, the observed migration pattern resembles a chain
migration pattern. The farthest populations from Siberia winter
further north than the breeding populations of northern Europe,
Iceland, and Greenland, that winter in the southern areas of the
winter range. Several hypotheses have been suggested for
explaining geographical segregation of birds during winter.
For example, body size, social dominance, arrival time, migration
costs, migration thresholds, timing of moult, character diver-
gence, feeding efficiency, or the possibility of detecting the onset
of spring (e.g. Cristol et al., 1999). However, these single-factor
hypotheses may not encompass all observed variation, especially in
species with such marked sexual and population polymorphisms.
Nebel et al. (2002) suggested a multifactor hypothesis where
latitudinal trends in environmental variability, ultraviolet
light intensity, and temperature affecting burying depth of
invertebrates may interact with body size and bill length parameters
as well as age-specific moulting schedules. This would create dif-
ferent optima in non-breeding distribution depending on age
and sex of individual western sandpipers (Calidris mauri).
Although this study was not designed for the rejection or
support of any these hypotheses, genetic markers can be relevant
in the future for this purpose when sufficient sampling will allow
separate analysis of sex and age classes. Although latitudinal
segregation between males and females was observed in dunlins
wintering on the North American Pacific coast with a bias
towards males (Shepherd et al., 2001), our results did not reveal
any evidence to support sex segregation on wintering grounds,
since no significant differences in mtDNA haplotype frequencies
between the sexes were detected. However, we cannot exclude the
occurrence of this system as segregation may occur at different
geographical scales and therefore larger samples sizes in more
sites are required to test this hypothesis.
Conservation implications
These findings need to be taken into account for the conserva-
tion of migratory shorebirds. These species face more difficulties
than resident species since they are dependent on several types of
habitat. For example, conservation efforts in a winter site may
not have any positive effect on population negative trends if
those are more correlated with ongoing threats in stopover or in
breeding sites (e.g. loss of tundra area). Vice versa, breeding
populations may be indirectly hampered by the loss of habitats
on key wintering or migratory sites (e.g. sea level rise or oil
spills). It is therefore very important to link breeding populations
to their wintering ranges as well as their key stopover sites in
order to fully implement conservation strategies for these kinds
of species. It is in this scope that our results are very important,
providing reliable data on the segregation and origin of winter
populations.
On the other hand, it is logistically easier to collect data on
winter grounds since birds are concentrated on the network of
coastal wetlands and estuaries along the Atlantic coast, between
the British Isles and Sweden to Guinea-Bissau. In breeding
habitats they disperse throughout vast areas, where their density
is very low. Therefore, estimation of biogeographical trends of
abundance and other demographic variables (e.g. sex ratio,
juvenile survival) will continue to be logistically unfeasible to
implement in many breeding sites.
It is also becoming urgent to model the biogeographical
dynamics of migratory species in order to assess the impact of
relatively quick responses of migrating populations to environ-
mental issues, such as global or local environmental changes, so
that actions can be implemented in time (Piersma & Lindström,
2004). Annual changes in winter population genetic composition
can be used to detect earlier changes that would not be detected
using current demographic methodologies (e.g. bird census and
distribution, estimates of survival, timing of breeding). Also, in
the scope of the epidemiology of emergent diseases (e.g. West
Nile virus, avian influenza), the knowledge of the biogeographical
patterns of migratory birds is increasingly important.
Future applications and integration of methods
Ringing recoveries have limitations due to the lower ringing
effort on tundra breeding areas and on tropical wintering ranges.
They also require the compilation of data throughout decades
before any clear picture become interpretable.
Morphometrics can only play a major role for this purpose if
genetic sexing of smaller samples is implemented. This would
allow the analysis of differences between populations or strata of the
populations, from local to flyway scale, much more accurately
(Lopes et al., 2006). Genetic sexing methods also make it possible
to address the hypothesis of sex segregation on wintering grounds
that need to be assessed in more detail at a larger scale, following
similar approaches in other migratory waders (Nebel et al., 2002).
As we have seen, genetic population markers can be used
for monitoring wintering populations and, ultimately, the
whereabouts of each breeding population. Also, the use of
biogeochemical approaches (e.g. ratios of stable isotopes) and
the increasing advances in telemetry technology also need to be
taken into account (e.g. Webster et al., 2002; Clegg et al., 2003).
Ultimately, we advise the integration of several approaches to
further enhance the quality of the assignments, which in many
species can be performed at the individual level and not only
to groups of birds (e.g. Webster et al., 2002; Clegg et al., 2003;
Boulet et al., 2006).
Conclusions
The genetic markers that were used narrowed the range of possible
breeding origins and made it possible to reject other regions
R. J. Lopes et al.
© 2008 The Authors740 Diversity and Distributions, 14, 732–741, Journal compilation © 2008 Blackwell Publishing Ltd
with higher accuracy. We used the genetic knowledge that was
gathered during the last decade to review and validate our current
understanding about winter segregation of dunlin populations.
Our approach reiterated the existence of significant differences
of haplotype frequencies even between relatively close wintering
quarters such as South Spain and Morocco. However, the main
achievement of this methodology was to refine the discrimination
of time and location of breeding origin of winter populations
and to unleash its potential as an effective method that used
with other methodologies already cited can help improve the
conservation of this species and of other long-distance migrants.
ACKNOWLEDGEMENTS
We would like to thank the following people and organizations
for the following winter samples: Allan Baker and Theunis
Piersma (Guinea-Bissau), José Luis Arroyo, Grupo Ibérico de
Anillamiento (Morocco), Christer Persson (Sweden), and Nigel
Clark (UK). We also thank the Reserva Natural do Estuário do
Tejo (RNET) for allowing us to capture birds in Tagus estuary.
Breeding samples from Zackenberg, north-east Greenland, were
provided by Jannik Hansen, BioBasis, National Environmental
Research Institute, Denmark. We also would like to thank Jaime
Ramos, Albano Beja-Pereira, and David James Harris for valuable
revisions to the manuscript. This research was funded by
Fundação para a Ciência e a Tecnologia (FCT) through the
grants PRAXIS XXI/BD/16250/98 and SFRH/BPD/14953/2004
and by the National Centre for Biosystematics, Zoological
Museum, University of Oslo.
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