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. 2007 Dec 18;95(4):347–354. doi: 10.1007/s00114-007-0326-z

Non-breeding habitat preference affects ecological speciation in migratory waders

Ken Kraaijeveld 1,
PMCID: PMC2270370  PMID: 18087687

Abstract

Models of ecological speciation predict that certain types of habitat should be more conducive to species diversification than others. In this study, I test this hypothesis in waders of the sub-order Charadrii using the number of morphological sub-species per species as an index of diversity. I classified all members of this clade as spending the non-breeding season either coastally or inland and argue that these represent fundamentally different environments. Coastal mudflats are characterised by high predictability and patchy worldwide distribution, whilst inland wetlands are widespread but unpredictable. The results show that migratory species that winter coastally are sub-divided into more sub-species than those that winter inland. This was not the case for non-migratory species. I argue that coastal environments select for more rigid migratory pathways, whilst inland wetlands favour more flexible movement patterns. Population sub-division could then result from the passive segregation of breeding sites or from the active selection for assortative mating of ecomorphs.

Keywords: Speciation, Waders, Non-breeding habitat, Sub-species

Introduction

Models of ecological speciation show that the propensity of a species to diverge is affected by the shape of the fitness landscape generated by its environment (Gavrilets 2004). This predicts that some environments should be more conducive to speciation than others. Recent comparative studies have supported this prediction (Funk et al. 2006; Phillimore et al. 2007). However, these studies do not discuss aspects of habitats that promote or inhibit speciation.

In this study, I test this prediction for wading birds of the sub-order Charadrii. This group was chosen because its species can be divided into those that are adapted to coastal habitats and those that feed mostly inland (Piersma 1997, 2003). On a year-to-year basis, coastal habitats offer a more predictable environment than inland wetlands (Roshier et al. 2001). Inter-tidal mudflats and ocean beaches will be located in the same place each year and offer a highly predictable pool of food resources. They are distributed patchily around the globe, and patches differ in their food resources and other conditions (Piersma et al. 1993a). On the other hand, the inland wetlands favoured by other waders are unpredictable and include waterbodies in arid regions that flood infrequently. Flooded areas are often large, but may be located in different areas between years and shift within a single non-breeding season, promoting extensive movements of birds that rely on these habitats (Roshier et al. 2002). The suitability of grasslands in semi-arid regions varies from year to year due to the differences in rainfall level. Little is known about the composition of the food resources used by waders in these inland environments, but it seems likely that these may be similar on broad spatial scales. I thus predict that coastal habitats should be more favourable to species diversification than inland habitats.

Many of the wader species that utilise coastal or inland habitats for the greater part of the year migrate to very different habitats, such Arctic tundras or boreal swamps, to breed. Whilst the reasons for this are beyond the scope of this study (but see Piersma 1997), it means that in these species reproduction is spatially separated from the feeding habitat to which they are adapted. Red knot Calidris canutus illustrate this point. For 10 months of the year, this species feeds on bivalves on mudflats around the world. The species has evolved a range of adaptations to feeding on bivalves, including a muscular stomach and sensitive bill tip (Piersma et al. 1993b, 1998). Nevertheless, it breeds exclusively on high Arctic tundras where feeding on abundant insect larvae and berries require few special adaptations. In such cases, local adaptation to, for example, temperate or tropical inter-tidal mudflats requires that birds from the same non-breeding area mate assortatively on the breeding grounds (Webster et al. 2002).

Investigating ecological speciation in this group of birds thus adds two new dimensions to the general pattern found by Funk et al. (2006) and Phillimore et al. (2007). First, as argued above, I have a priori reasons to expect that one type of habitat (coastal) should be more conducive to speciation than the other (inland). Second, many of the species investigated reproduce away from the feeding grounds to which they are adapted and speciation thus requires differential migration to achieve assortative mating. To test these ideas, I use the number of sub-species per species as a measure of diversification. Thus, I treat sub-species as ‘incipient species’. Morphological sub-species are considered useful in estimating the patterns of divergence among populations (Phillimore et al. 2007). Evidence that wader sub-species represent phylogenetically distinct groups is available for Dunlin Calidris alpina (Wenink et al. 1993), and to a lesser extent, for Red knot (Buehler and Baker 2005). Because older species could have differentiated into more sub-species than younger species, I investigated whether the number of sub-species was correlated to species age.

Materials and methods

Data collection

I collated data on the number of sub-species, migratoriness, breeding and non-breeding habitat from Del Hoyo et al. (1996) for all 215 species of the sub-order Charadrii (see Table 2 of S1). Crude estimates of species age were obtained from Thomas et al. (2004). Due to high levels of polytomy in parts of the phylogeny, some of these are likely to be over-estimates; however, no better estimates are available at present. I adopted the number of sub-species from one reputable source rather than search for the more recent updates because some of these revisions are still controversial. Migratoriness was scored as non-migrant, partial migrant or migrant (>80%, between 20% and 80% and <20% of non-breeding range overlaps with breeding range, respectively). Breeding habitat was scored as one of seven classes: tundra, boreal/temperate, mountains, steppe, (sub)tropical wetlands (either inland or coastal), (sub)tropical forest or oceanic. Non-breeding habitat was scored as coastal, inland or pelagic. For species that regularly use both coastal and inland habitats, I scored the habitat considered by Del Hoyo et al. (1996) to be used by the largest part of the population.

Table 2.

Data used in the analysis

Genus Species Migratory Winter Summer Sub-species Species age
Actitis Hypoleucos Migrant Inland Boreal 1 5.779
Actitis Macularia Migrant Inland Boreal 1 5.779
Actophilornis Africanus Non-migrant Inland (Sub)tropical wetland 1 8.547
Actophilornis Albinucha Non-migrant Inland (Sub)tropical wetland 1 8.547
Anarhynchus Frontalis Migrant Coastal Boreal 1 26.7
Aphriza Virgata Migrant Coastal Mountain 1 6.019
Arenaria Interpres Migrant Coastal Tundra 2 5.68
Arenaria Melanocephala Migrant Coastal Tundra 1 5.68
Attagis Gayi Non-migrant Inland Mountain 3 18.2
Attagis Malouinus Non-migrant Inland Mountain 1 18.2
Bartramia Longicauda Migrant Inland Steppe 1 20.299
Burhinus Bistriatus Non-migrant Inland Steppe 4 7.933
Burhinus Capensis Non-migrant Inland Steppe 4 3.967
Burhinus Grallarius Non-migrant Inland Steppe 1 6.287
Burhinus Oedicnemus Partial migrant Inland Steppe 6 3.967
Burhinus Senegalensis Non-migrant Inland (Sub)tropical wetland 1 3.967
Burhinus Superciliaris Non-migrant Inland Steppe 1 11.9
Burhinus Vermiculatus Non-migrant Inland (Sub)tropical wetland 2 19.8
Calidris Acuminata Migrant Inland Tundra 1 3.798
Calidris Alba Migrant Coastal Tundra 1 8.707
Calidris Alpina Migrant Coastal Tundra 9 7.836
Calidris Bairdii Migrant Inland Tundra 1 7.4
Calidris Canutus Migrant Coastal Tundra 5 3.798
Calidris Ferruginea Migrant Coastal Tundra 1 17.413
Calidris Fuscicollis Migrant Coastal Tundra 1 6.965
Calidris Maritima Partial migrant Coastal Tundra 1 2.588
Calidris Mauri Migrant Coastal Tundra 1 9.142
Calidris Melanotos Migrant Inland Tundra 1 4.136
Calidris Minuta Migrant Coastal Tundra 1 3.483
Calidris Minutilla Migrant Inland Boreal 1 6.965
Calidris Ptilocnemis Partial migrant Coastal Tundra 4 2.588
Calidris Pusilla Migrant Coastal Tundra 1 3.483
Calidris Ruficollis Migrant Coastal Tundra 1 2.609
Calidris Subminuta Migrant Inland Boreal 1 2.609
Calidris Temminckii Migrant Inland Boreal 1 10.013
Calidris Tenuirostris Migrant Coastal Mountain 1 3.798
Catoptrophorus Semipalmatus Partial migrant Coastal Steppe 2 19.701
Charadrius Alexandrinus Partial migrant Coastal (Sub)tropical wetland 5 22.992
Charadrius Alticola Non-migrant Inland Mountain 1 22.992
Charadrius Asiaticus Migrant Inland Steppe 1 7.224
Charadrius Bicinctus Partial migrant Coastal Boreal 2 7.224
Charadrius Collaris Non-migrant Inland (Sub)tropical wetland 1 22.992
Charadrius Dubius Partial migrant Inland (Sub)tropical wetland 3 12.882
Charadrius Falklandicus Partial migrant Coastal Boreal 1 16.317
Charadrius Forbesi Partial migrant Inland Steppe 1 22.992
Charadrius Hiaticula Migrant Coastal Tundra 2 8.793
Charadrius Javanicus Non-migrant Coastal (Sub)tropical wetland 1 22.992
Charadrius Leschenaultii Migrant Coastal Steppe 3 22.992
Charadrius Marginatus Non-migrant Coastal (Sub)tropical wetland 4 22.992
Charadrius Melodus Migrant Coastal (Sub)tropical wetland 1 22.992
Charadrius Modestus Partial migrant Inland Boreal 1 19.283
Charadrius Mongolus Migrant Coastal Mountain 5 7.224
Charadrius Montanus Migrant Inland Steppe 1 16.317
Charadrius Morinellus Migrant Inland Tundra 1 26.7
Charadrius Novaeseelandi Non-migrant Coastal Oceanic island 1 4.558
Charadrius Obscurus Partial migrant Coastal Boreal 2 22.992
Charadrius Pallidus Non-migrant Inland (Sub)tropical wetland 2 22.992
Charadrius Pecuarius Non-migrant Inland (Sub)tropical wetland 1 22.992
Charadrius Peronii Non-migrant Coastal (Sub)tropical wetland 1 22.992
Charadrius Placidus Migrant Inland (Sub)tropical wetland 1 22.992
Charadrius Rubricollis Non-migrant Coastal (Sub)tropical wetland 1 22.992
Charadrius Ruficapillus Non-migrant Coastal (Sub)tropical wetland 1 22.992
Charadrius Sanctaehelena Non-migrant Inland Oceanic island 1 22.992
Charadrius Semipalmatus Migrant Coastal Tundra 1 11.096
Charadrius Thoracicus Non-migrant Coastal (Sub)tropical wetland 1 22.992
Charadrius Tricollaris Non-migrant Inland (Sub)tropical wetland 2 5.548
Charadrius Veredus Migrant Inland Steppe 1 7.224
Charadrius Vociferus Partial migrant Inland (Sub)tropical wetland 3 5.548
Charadrius Wilsonia Partial migrant Coastal (Sub)tropical wetland 3 5.548
Chionis Alba Partial migrant Coastal Oceanic island 1 11.988
Chionis Minor Non-migrant Coastal Oceanic island 4 11.988
Cladorhynchus Leucocephalus Partial migrant Inland (Sub)tropical wetland 1 10.182
Coenocorypha Aucklandica Non-migrant Inland Oceanic island 4 4.91
Coenocorypha Pusilla Non-migrant Inland Oceanic island 1 4.91
Cursorius Coromandelicu Non-migrant Inland Steppe 1 9.9
Cursorius Cursor Partial migrant Inland Steppe 5 4.95
Cursorius Rufus Non-migrant Inland Steppe 1 4.95
Cursorius Temminckii Partial migrant Inland Steppe 1 9.9
Elseyornis Melanops Non-migrant Inland (Sub)tropical wetland 1 22.992
Erythrogonys Cinctus Non-migrant Inland (Sub)tropical wetland 1 23.256
Esacus Magnirostris Non-migrant Coastal (Sub)tropical wetland 1 3.967
Esacus Recurvirostris Non-migrant Inland (Sub)tropical wetland 1 9.21
Eurynorhynchus Pygmeus Migrant Coastal Tundra 1 17.413
Gallinago Gallinago Migrant Inland Boreal 3 19.576
Gallinago Hardwickii Migrant Inland Boreal 1 19.576
Gallinago Imperialis Non-migrant Inland Mountain 1 19.576
Gallinago Jamesoni Non-migrant Inland Mountain 1 19.576
Gallinago Macrodactyla Non-migrant Inland (Sub)tropical wetland 1 4.894
Gallinago Media Migrant Inland Boreal 1 4.894
Gallinago Megala Migrant Inland Boreal 1 4.894
Gallinago Nemoricola Partial migrant Inland Mountain 1 19.576
Gallinago Nigripennis Non-migrant Inland Mountain 3 4.894
Gallinago Nobilis Non-migrant Inland Mountain 1 19.576
Gallinago Paraguaiae Non-migrant Inland (Sub)tropical wetland 3 19.576
Gallinago Solitaria Partial migrant Inland Mountain 2 19.576
Gallinago Stenura migrant Inland Boreal 1 19.576
Gallinago Stricklandii Non-migrant Inland Boreal 1 19.576
Gallinago Undulata Non-migrant Inland (Sub)tropical wetland 2 19.576
Glareola Cinerea Non-migrant Inland (Sub)tropical wetland 1 13.896
Glareola Lactea Partial migrant Inland (Sub)tropical wetland 1 13.896
Glareola Maldivarum Migrant Inland Steppe 1 13.896
Glareola Nordmanni Migrant Inland Steppe 1 13.896
Glareola Nuchalis Non-migrant Inland (Sub)tropical wetland 2 13.896
Glareola Ocularis Migrant Inland (Sub)tropical wetland 1 13.896
Glareola Pratincola Migrant Inland (Sub)tropical wetland 3 13.896
Haematopus Ater Non-migrant Coastal Boreal 1 4.283
Haematopus Bachmani Non-migrant Coastal Boreal 1 4.283
Haematopus Chathamensis Non-migrant Coastal Oceanic island 1 6.789
Haematopus Fuliginosus Non-migrant Coastal (Sub)tropical wetland 2 12.849
Haematopus Leucopodus Non-migrant Coastal Boreal 1 14.817
Haematopus Longirostris Non-migrant Coastal (Sub)tropical wetland 1 14.817
Haematopus Meadewaldoi Non-migrant Coastal Oceanic island 1 14.817
Haematopus Moquini Non-migrant Coastal Boreal 1 11.072
Haematopus Ostralegus Migrant Coastal Boreal 4 4.283
Haematopus Palliatus Non-migrant Coastal (Sub)tropical wetland 2 12.024
Haematopus Unicolor Non-migrant Coastal Boreal 1 4.283
Heteroscelus Brevipes Migrant Coastal Mountain 1 5.324
Heteroscelus Incanus Migrant Coastal Mountain 1 5.324
Himantopus Himantopus Partial migrant Inland (Sub)tropical wetland 5 8.77
Himantopus Novaezelandia Non-migrant Inland Boreal 1 8.77
Hydrophasianus Chirurgus Partial migrant Inland (Sub)tropical wetland 1 17.118
Ibidorhyncha Struthersii Non-migrant Inland Mountain 1 16.5
Irediparra Gallinacea Non-migrant Inland (Sub)tropical wetland 3 8.547
Jacana Jacana Non-migrant Inland (Sub)tropical wetland 6 10.8
Jacana Spinosa Non-migrant Inland (Sub)tropical wetland 3 10.8
Limicola Falcinellus Migrant Coastal Tundra 2 3.798
Limnodromus Griseus Migrant Coastal Boreal 3 4.951
Limnodromus Scolopaceus Migrant Inland Tundra 1 4.951
Limnodromus Semipalmatus Migrant Coastal Boreal 1 7.847
Limosa Fedoa Migrant Coastal Steppe 2 11.739
Limosa Haemastica Migrant Coastal Tundra 1 9.303
Limosa Lapponica Migrant Coastal Tundra 3 5.869
Limosa Limosa Migrant Coastal Steppe 3 5.869
Lymnocryptes Minimus Migrant Inland Boreal 1 21.8
Metopidius Indicus Non-migrant Inland (Sub)tropical wetland 1 13.546
Micropalama Himantopus Migrant Inland Tundra 1 17.413
Microparra Capensis Non-migrant Inland (Sub)tropical wetland 1 8.547
Numenius Americanus Migrant Inland Steppe 2 6.404
Numenius Arquata Migrant Coastal Boreal 2 6.404
Numenius Borealis Migrant Inland Tundra 1 19.211
Numenius Madagascarien Migrant Coastal Boreal 1 6.404
Numenius Minutus Migrant Inland Boreal 1 19.211
Numenius Phaeopus Migrant Coastal Boreal 4 10.15
Numenius Tahitiensis Migrant Coastal Tundra 1 6.404
Numenius Tenuirostris Migrant Inland Boreal 1 19.211
Oreopholus Ruficollis Partial migrant Inland Mountain 2 30.733
Pedionomus Torquatus Non-migrant Inland Steppe 1 45.8
Peltohyas Australis Non-migrant Inland Steppe 1 4.558
Phalaropus Fulicaria Migrant Pelagic Tundra 1 2.158
Phalaropus Lobatus Migrant Pelagic Tundra 1 2.158
Phegornis Mitchellii Non-migrant Inland Mountain 1 26.7
Philomachus Pugnax Migrant Inland Tundra 1 6.019
Pluvialis Apricaria Migrant Inland Tundra 2 8.33
Pluvialis Dominica Migrant Inland Tundra 1 5.256
Pluvialis Fulva Migrant Coastal Tundra 1 5.256
Pluvialis Squatarola Migrant Coastal Tundra 1 10.511
Pluvianellus Socialis Partial migrant Coastal Boreal 1 19
Pluvianus Aegyptius Non-migrant Inland (Sub)tropical wetland 1 36.9
Prosobonia Cancellata Non-migrant Coastal Oceanic island 1 5.517
Recurvirostra Americana Migrant Inland Boreal 1 4.385
Recurvirostra Andina Non-migrant Inland Mountain 1 4.385
Recurvirostra Avosetta Partial migrant Inland (Sub)tropical wetland 1 8.77
Recurvirostra Novaehollandi Partial migrant Inland (Sub)tropical wetland 1 6.95
Rhinoptilus Africanus Non-migrant Inland Steppe 8 9.9
Rhinoptilus Bitorquatus Non-migrant Inland Steppe 1 7.846
Rhinoptilus Chalcopterus Partial migrant Inland Steppe 1 4.95
Rhinoptilus Cinctus Non-migrant Inland Steppe 3 4.95
Rostratula Benghalensis Non-migrant Inland (Sub)tropical wetland 2 27.5
Rostratula Semicollaris Non-migrant Inland (Sub)tropical wetland 1 27.5
Scolopax Celebensis Non-migrant Inland (Sub)tropical forest 1 12.057
Scolopax Minor Partial migrant Inland (Sub)tropical forest 1 12.057
Scolopax Mira Non-migrant Inland (Sub)tropical forest 1 4.664
Scolopax Rochussenii Non-migrant Inland (Sub)tropical forest 1 12.057
Scolopax Rusticola Migrant Inland Boreal 1 4.664
Scolopax Saturata Non-migrant Inland (Sub)tropical forest 2 12.057
Steganopus Tricolor Migrant Inland Steppe 1 3.42
Stiltia Isabella Partial migrant Inland Steppe 1 14.85
Thinocorus Orbignyianus Non-migrant Inland Mountain 2 19.352
Thinocorus Rumicivorus Partial migrant Inland Mountain 4 19.352
Tringa Erythropus Migrant Inland Tundra 1 5.324
Tringa Flavipes Migrant Inland Boreal 1 13.762
Tringa Glareola Migrant Inland Boreal 1 8.438
Tringa Guttifer Migrant Coastal Boreal 1 19.086
Tringa Melanoleuca Migrant Inland Boreal 1 5.324
Tringa Nebularia Migrant Inland Boreal 1 13.762
Tringa Ochropus Migrant Inland Boreal 1 19.086
Tringa Solitaria Migrant Inland Boreal 2 19.086
Tringa Stagnatilis Migrant Inland Boreal 1 13.762
Tringa Totanus Migrant Coastal Boreal 6 13.762
Tryngites Subruficollis Migrant Inland Tundra 1 10.448
Vanellus Albiceps Non-migrant Inland (Sub)tropical wetland 1 22.961
Vanellus Armatus Non-migrant Inland (Sub)tropical wetland 1 5.008
Vanellus Cayanus Non-migrant Inland (Sub)tropical wetland 1 22.961
Vanellus Chilensis Non-migrant Inland (Sub)tropical wetland 4 5.008
Vanellus Cinereus Migrant Inland (Sub)tropical wetland 1 22.961
Vanellus Coronatus Non-migrant Inland Steppe 2 22.961
Vanellus Crassirostris Non-migrant Inland (Sub)tropical wetland 2 5.008
Vanellus Duvaucelii Non-migrant Inland (Sub)tropical wetland 1 7.937
Vanellus Gregarius Migrant Inland Steppe 1 5.008
Vanellus Indicus Non-migrant Inland (Sub)tropical wetland 4 5.008
Vanellus Leucurus Partial migrant Inland (Sub)tropical wetland 1 22.961
Vanellus Lugubris Non-migrant Inland Steppe 1 5.008
Vanellus Macropterus Non-migrant Inland (Sub)tropical wetland 1 5.008
Vanellus Malabaricus Non-migrant Inland Steppe 1 22.961
Vanellus Melanocephalus Non-migrant Inland Mountain 1 22.961
Vanellus Melanopterus Non-migrant Inland Steppe 2 22.961
Vanellus Miles Non-migrant Inland Steppe 2 5.008
Vanellus Resplendens Non-migrant Inland Mountain 1 5.008
Vanellus Senegallus Non-migrant Inland (Sub)tropical wetland 3 22.961
Vanellus Spinosus Non-migrant Inland (Sub)tropical wetland 1 5.008
Vanellus Superciliosus Migrant Inland Steppe 1 22.961
Vanellus Tectus Non-migrant Inland Steppe 2 5.008
Vanellus Tricolor Non-migrant Inland Steppe 1 5.008
Vanellus Vanellus Migrant Inland Steppe 1 22.961
Xenus Cinereus Migrant Coastal Boreal 1 32.1

Statistical analysis

I first investigated whether the dependent variable (number of sub-species) showed phylogenetic auto-correlation (i.e. whether closely related species resembled each other more in their tendency to form sub-species than expected by chance) using the phylogenetic topology from Thomas et al. (2004). I used runs test as implemented in the programme Phylogenetic Independence (Abouheif 1999) to compare the observed pattern to that generated by randomly redistributing the data over the tips of the phylogeny 1,000 times. For this analysis, the number of sub-species per species was dichotomised as 1 (i.e. only the nominate form) or >1. Finding no evidence for phylogenetic autocorrelation (see the “Results” section), I treated species as independent data points in further analysis.

As the number of sub-species per species followed a Poisson distribution, I analysed the data using generalised linear models with a Poisson error distribution and a log link function. GLMStat (Beath 2001) was used to generate glms. Significance was tested by dropping each term from the fuller model and comparing the resulting change in deviance to a chi-square distribution.

Results

The results of runs test showed that there was no evidence for auto-correlation in the phylogenetic distribution of the number of sub-species (runs test P = 0.46). In fact, 461 of the 1,000 randomly generated runs averages were greater than that of the real data set, indicating a non-significant tendency towards over-dispersion.

A glm containing migratoriness, non-breeding habitat, breeding habitat and species age and their interactions showed no significant effects of three- and four-way interactions. However, there was a significant two-way interaction between migratoriness and non-breeding habitat (Table 1), indicating that the pattern of covariance between non-breeding habitat and sub-species richness differed between migrants and non-migrants. Individual models revealed a significant effect of non-breeding habitat on the number of sub-species in migrants, but not in non-migrants or partial migrants (Table 1). These results are illustrated in Fig. 1: species wintering coastally are on average sub-divided into more sub-species than inland wintering species, but only in migrants. The results are not confounded by differences in species age (Table 1). Whilst there was a significant association between breeding and non-breeding habitat among migrants (Inline graphic, P = 0.009), this did not result in an association between breeding habitat and the number of sub-species (Table 1).

Table 1.

Results of the generalised linear model with the number of sub-species per species as independent variable

  Estimate ± SE Deviance (df = 1) P value
Minimal adequate model      
 Migratoriness −0.10 ± 0.08   0.23
 Non-breeding habitat −0.16 ± 0.19   0.39
 Breeding habitat 0.06 ± 0.04   0.17
 Species age −0.01 ± 0.007   0.11
Migratoriness × non-breeding habitat 0.27 ± 0.12 4.92 0.03
Separate models      
 Non-breeding habitat      
  Migrants 0.42 ± 0.15 7.39 0.007
  Partial migrants 0.13 ± 0.10 0.07 0.79
  Non-migrants −0.21 ± 0.21 1.07 0.30

Non-significant interaction terms were removed. P values for the main effects were obtained by using the parameter estimate divided by its standard error as the test statistic. Also shown are the results of separate models for each category of migratoriness.

Fig. 1.

Fig. 1

Mean number of sub-species per species for migratory and non-migratory waders. Pelagic wintering species (N = 2) and partial migrants (N = 31) not shown. Error bars represent the Poisson standard errors

Discussion

The prediction that coastal habitats should be more conducive to diversification in waders than freshwater habitats is supported, but only for migratory species. This is remarkable, given that the reduction in gene flow between locally adapting populations requires an extra step in these species. In non-migrants, all that is needed to mate with a locally adapted partner is not to disperse. In migrants, however, all individuals migrate away from the non-breeding grounds to breed, often to the other end of the globe. To mate with a partner from the same non-breeding grounds, the non-breeding populations must either have segregated breeding grounds or have a very sophisticated individual recognition system. There is good evidence for a number of coastally wintering migrants that the former is true (Wennerberg 2001; Atkinson et al. 2005; Buehler et al. 2006), whilst the latter has not been investigated.

I suggest that the predictability of coastal non-breeding grounds favours rigid migratory pathways to and from the non-breeding grounds. Returning to the same non-breeding ground each year would save individuals from wasting time on searching for suitable non-breeding areas and allow them to benefit from learned aspects of local conditions (such as food distribution). The rigidity of the migratory pathways could then result in spatial segregation on the breeding grounds because individuals would be genetically predisposed to favour the same breeding grounds each year. The formation of distinct sub-species would then be a by-product of the spatially discontinuous distribution of non-breeding grounds. By contrast, many of the species that spend the non-breeding season on inland habitats have to track spatially and temporally variable resources (Roshier et al. 2001, 2002), which should select for flexible movement patterns during the non-breeding season. This could translate into flexible migration patterns, perhaps through a genetic correlation between migratory and non-migratory movements, and flexible movement patterns on the breeding grounds. If true, this would promote gene flow and inhibit diversification.

Alternatively, the divergent ecology of different coastal non-breeding grounds may actively select for assortative mating of corresponding ecomorphs. For example, it may be costly for waders wintering on tropical mudflats to pair with those that winter on temperate mudflats because the resultant hybrids would be poorly adapted to either habitat. Support for this interpretation comes from the fact that many sub-species of coastal waders differ from each other in bill length, which is an ecologically relevant trait (Engelmoer and Roselaar 1998). By contrast, the unpredictability of inland wetlands would not allow specialisation to the specific conditions presented by any particular area of habitat.

The question remains why the difference in diversification between species occupying coastal and inland habitats is not reflected in the non-migratory species that breed there? Given that migrant species often greatly outnumber resident species at individual feeding areas during the non-breeding season, migrant species may have greater effective population sizes per non-breeding area than non-migrants. This would allow more efficient response to selection and increase the potential for local adaptive change in migrants relative to non-migrants. Given the arguments above, such change is most likely in coastal areas.

Acknowledgements

I thank Martine Maan, David Roshier and Danny Rogers for their constructive comments on earlier versions of this paper. Apologies to Bertus de Lange for spoiling his copy of HBW. My work is supported by a Veni grant from The Netherlands Organisation for Scientific Research.

Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

S1. Appendix

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