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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 BIODIVERSITY RESEARCH ABSTRACT Dunlin Calidris alpina is one of the most abundant shorebirds using coastal habitats in the East Atlantic migratory flyway, that links arctic breeding locations (Greenland to Siberia) with wintering grounds (West Europe to West Africa). Differential migration and winter segregation between populations have been indicated by morphometrics and ringing recoveries. Here, we analyse the potential of genetic markers (mitochondrial DNA – mtDNA) to validate and enhance such findings. We compared mtDNA haplotypes frequencies at different wintering sites (from north-west Europe to West Africa). All birds from West Africa had western (European) haplotypes, while the eastern (Siberian) haplotypes were only present in European winter samples, reaching higher frequencies further north in Europe. Compilation of published results from migrating birds also confirmed these differences, with the sole presence of European haplotypes in Iberia and West Africa and increasingly higher frequencies of Siberian haplotypes from south-west to north-west Europe. Comparison with published haplotype 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 breeding grounds (e.g. North Russia). These results show that genetic markers can be used to enhance the integrative monitoring of wintering and breeding populations, by providing biogeographical evidence that validate the winter segregation of breeding 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,
Transcript
Page 1: Diversity and Distributions, (Diversity Distrib ...webpages.icav.up.pt/PTDC/BIA-BEC/098414/2008/Lopes et al 2008.pdf · *Correspondence: Ricardo J. Lopes, CIBIO, Centro de Investigação

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,

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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).

Page 3: Diversity and Distributions, (Diversity Distrib ...webpages.icav.up.pt/PTDC/BIA-BEC/098414/2008/Lopes et al 2008.pdf · *Correspondence: Ricardo J. Lopes, CIBIO, Centro de Investigação

R. J. Lopes

et al.

© 2008 The A

uthors

734

Diversity and D

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.

Page 4: Diversity and Distributions, (Diversity Distrib ...webpages.icav.up.pt/PTDC/BIA-BEC/098414/2008/Lopes et al 2008.pdf · *Correspondence: Ricardo J. Lopes, CIBIO, Centro de Investigação

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.

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R. J. Lopes

et al.

© 2008 The Authors

736

Diversity and Distributions

,

14

, 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.

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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.

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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).

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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

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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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Editor: David Richardson


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