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Migration patterns and seasonal forest use by birds in the Brazilian Pantanal

Published online by Cambridge University Press:  18 May 2017

JOÃO BATISTA DE PINHO*
Affiliation:
Núcleo de Estudos Ecológicos do Pantanal (NEPA)/Instituto de Biociências, Universidade Federal de Mato Grosso, 78060-900, Cuiabá - MT, Brazil; and Instituto Nacional de Ciência e Tecnologia em Áreas Úmidas (INAU).
MÔNICA ARAGONA
Affiliation:
Instituto de Engenharias - CUVG, Universidade Federal de Mato Grosso, 78060-900, Cuiabá - MT, Brazil; Núcleo de Estudos Ecológicos do Pantanal (NEPA)/Instituto de Biociências, Universidade Federal de Mato Grosso, 78060-900, Cuiabá - MT, Brazil; and Instituto Nacional de Ciência e Tecnologia em Áreas Úmidas (INAU).
KARLO YOSHIHIRO PIOTO HAKAMADA
Affiliation:
Núcleo de Estudos Ecológicos do Pantanal (NEPA)/Instituto de Biociências, Universidade Federal de Mato Grosso, 78060-900, Cuiabá - MT, Brazil.
MIGUEL ÂNGELO MARINI
Affiliation:
Departamento de Zoologia, IB, Universidade de Brasília, 70910-900, Brasília, DF, Brazil.
*
*Author for correspondence; e-mail: pinhoufmt@gmail.com
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Summary

The use of forest habitats and migratory patterns are still unclear for tropical birds. Some are described herein for the Pantanal wetlands of Brazil. Thus, our aim was to describe different patterns of forest habitat use by birds and classify the birds’ migration patterns for the northern Pantanal region, Brazil. From September 1999 to December 2003, we sampled four forest types, during which we collected standardised data with mist-net captures and point counts, with additional ad lib. observations. We recorded 214 bird species: 113 (52.8%) were total habitat generalists; 41 (19.2%) were forest generalists; 19 (8.9%) were flooded habitat specialists; and 28 (13.1%) were not classified due to the low number of records; three other categories of habitat use divide the remaining 6% of records. About half of the species showed some migratory behaviour, these were classified by us according to the season they spent in the area: 121 species (56.5%) as residents, 28 (13.1%) as run-off and dry migrants, 11 (5.1%) as run-off (winter) migrants, eight (3.7%) as dry (breeding) migrants, eight (3.7%) as dry and flooding (summer) migrants, eight (3.7%) as flooding migrants, three (1.4%) as flooding and run-off migrants, and 27 (12.6%) as uncommon. We constructed community occupancy models with six of the eight patterns of migration described; flooding migrants and run-off migrants were not modelled since the few species recorded also had very few detections. As expected, the model confirmed that species from all six tested migration patterns arrive and depart from the Pantanal across the seasons. Contrary to most Neotropical forests, there was a high percentage (43.5%) of non-resident species. The results show the need of investing heavily in preserving different landscape units within the Pantanal, but also in the surrounding Cerrado region, in order to conserve resident and short distance intra-tropical migrants.

Type
Research Article
Copyright
Copyright © BirdLife International 2017 

Introduction

Tropical bird communities are the result of stable and variable habitat components. While some species are resident in an area throughout the year, others may migrate and change the community composition at temporal and spatial scales (Loiselle and Blake Reference Loiselle and Blake1992). The simultaneous use of different habitats by both migratory and resident birds reflects the complexity, interconnection, flexibility of interactions, and trophic webs that can be established in a mosaic system (Blake and Loiselle Reference Blake and Loiselle2002, Figueira et al. Reference Figueira, Cintra, Viana and Yamashita2006). Thus, each patch of the habitat is important if it is able to supply seasonal needs of a species (Law and Dickman Reference Law and Dickman1998), and this reinforces the well-established importance of preserving extensive areas of habitat mosaic within a landscape.

Many thousands of birds make seasonal movements between North and South America (Sick Reference Sick1983). The patterns of these migrations are not very well understood, and although there are some studies (Negret and Negret Reference Negret and Negret1981, Marini and Cavalcanti Reference Marini and Cavalcanti1990, Stouffer and Bierregaard Jr. Reference Stouffer and Bierregaard1996, Machado Reference Machado1997, Vasconcellos and Lombardi Reference Vasconcellos and Lombardi1999, Galetti Reference Galetti2001), most of these have focused on aquatic bird species (Sick Reference Sick1983, Antas Reference Antas1994, Azevedo Jr. et al. Reference Azevedo, Dias, Larrazábal, Telino-Júnio, Lyra-Neves and Fernandes2001, Olmos and Silva e Silva Reference Olmos and Silva e Silva2001).

The Brazilian Pantanal is one of the largest wetlands of the world. Due to the flood pulse (Junk et al. Reference Junk, Barley and Sparks1989, Da Silva et al. Reference Da Silva, Wantzen, Nunes da Cunha, Machado, Gopal, Junk and Davis2001), the strong seasonal cycles of dry and flood periods, and spatio-temporal organisation of habitat patches, the biome’s alpha and beta bird diversity changes throughout the year, tracking environmental changes (Signor and Pinho Reference Signor and Pinho2011, Pinho and Marini Reference Pinho and Marini2012). For the Pantanal bird communities, much attention has been given to aquatic species (Sick Reference Sick1979, Antas Reference Antas1994). Although the migratory routes of aquatic bird species in the Pantanal are fairly well documented, with several species known to migrate southward to the wet areas of Rio Grande do Sul State or to Paraná River lowlands (Antas Reference Antas1994), it has long been recognised that migratory routes of terrestrial birds from the Neotropics are poorly known (Marini and Cavalcanti Reference Marini and Cavalcanti1990, Remsen Reference Remsen2001, Stutchbury et al. Reference Stutchbury, Tarof, Done, Gow, Kramer, Tautin, Fox and Afanasyev2009).

Improved knowledge of bird movements and bird migratory patterns in the Pantanal wetland would support and increase the effectiveness of conservation and management policies. Birds have important ecological roles (pollination, insect population control) and migratory species are mobile links that can disperse plant propagules, invertebrates, and diseases over large distances. Therefore, an understanding of migratory patterns and seasonal habitat use by birds can help to evaluate the potential impacts of bird species losses to the economy and human society (Hatchette et al. Reference Hatchette, Walker, Johnson, Baker, Pryor and Webster2004, Liu et al. Reference Liu, Xiao, Lei, Zhu, Qin, Zhang, Zhang, Zhao, Wang, Feng, Ma, Liu, Wang and Gao2005). Consequently, in this study, our aim was to describe different patterns of forest habitat use by birds and classify the birds’ migration patterns for the northern Pantanal region, Brazil. In order to make the migration patterns classification reliable we tested if these patterns were biased by detection rates. For uncommon species, we also compared their occurrence within the Pantanal floodplain with records in the surrounding Cerrado plateau, to which many bird species disappear when the Pantanal region is flooded, returning at the beginning of the dry season, when available habitat for nesting and foraging is greater (Nunes da Cunha and Junk Reference Nunes da Cunha, Junk, Dantas, Catto and Resende1996, Pinho and Marini Reference Pinho and Marini2012).

Methods

Study sites

Bird communities were studied in the Poconé section of the Pantanal (Franco and Pinheiro Reference Franco and Pinheiro1982), at Pirizal (16°15’12’’S 56°22’12’’W), Poconé municipality, Mato Grosso State, Brazil, from September 1999 to December 2003. The Pantanal’s climate is characterised by two well-defined seasons: the dry season, from May to September, and the rainy season, from October to April. From 1999 to 2002, the mean rainfall recorded was 1,159 mm, annual mean minimum temperature was 20.9° C and annual mean maximum temperature was 32.5°C.

In the Pantanal, different types of soils and inundation levels create a mosaic landscape formation (Silva et al. Reference Silva, Mauro, Mourão and Coutinho2000, Nunes da Cunha et al. Reference Nunes da Cunha, Junk and Silveira2002, Nunes da Cunha and Junk Reference Nunes da Cunha, Junk, Junk, da Silva, Nunes da Cunha and Wantzen2009a,Reference Nunes da Cunha, Junk, Junk, da Silva, Nunes da Cunha and Wantzenb). According to Nunes da Cunha and Junk (Reference Nunes da Cunha, Junk, Junk, da Silva, Nunes da Cunha and Wantzen2009a), about 70–80% of the area of the entire Pantanal constitutes an aquatic/terrestrial transition zone, and some 30% of the Pantanal is covered by forest (Nunes da Cunha and Junk Reference Nunes da Cunha, Junk, Junk, da Silva, Nunes da Cunha and Wantzen2009b). We studied four forest habitats: two seasonally flooded forests, ‘Cambarazal’ semi-deciduous forest (SD-F) and ‘Landi’ evergreen forest (EG-F), which together comprise nearly 12% of the area of the study region and which from now on will be referred as “flooded forests”; and two non-flooded forests, ‘Cordilheira’ semi-deciduous dry forest (SD-D) and ‘Carvoal’ deciduous dry forest (D-D), which together comprise nearly 41% of the area of the study region and which will subsequently be referred as “dry forests” (Nascimento and Nunes da Cunha Reference Nascimento and Nunes da Cunha1989, Nunes da Cunha Reference Nunes da Cunha1990, Ribeiro Reference Ribeiro1999, Nunes da Cunha et al. Reference Nunes da Cunha, Rawiel, Wantzen, Junk and Prado2006, Nunes da Cunha and Junk Reference Nunes da Cunha, Junk, Junk, da Silva, Nunes da Cunha and Wantzen2009b). For more details on the area and regarding those aspects of the forests relevant to birds, see Pinho and Marini (Reference Pinho and Marini2012).

Sampling methods

This study is part of a broader study of the Pantanal birds. To determine habitat use by each species throughout the year we sampled birds using three methods: point counts, mist-netting, and free observations. For a detailed discussion of sampling methods, and a map of the study sites, see Pinho and Marini (Reference Pinho and Marini2012).

Data analyses

Habitat use: Climatic and hydrological seasons are distinct in the Pantanal. Since seasonality in the region is governed mostly by fluctuation in water levels (in our study area especially by the Cuiabá River, but also by the Paraguay River), and secondarily by temperature and rainfall (Junk et al. Reference Junk, Barley and Sparks1989, Nunes da Cunha and Junk Reference Nunes da Cunha and Junk2004, Girard Reference Girard, Junk, da Silva, Nunes da Cunha and Wantzen2011), we defined the following three seasons: flooded, run-off and dry, as already described in Pinho and Marini (Reference Pinho and Marini2012). Presence records made monthly for each species in each forest habitat (by point counts and mist netting) and open areas (by free observations) allowed us to classify bird species according to habitat use using the following categories: total habitat generalist (TG), use of two, three or four forest habitats plus open areas; forest generalist (FG), use of three or four forest habitats or one dry and one flooded forests; flooded forest specialist (FFS), use of both semi-deciduous and evergreen flooded forests; dry forest specialist (DFS), use of both semi-deciduous and deciduous dry forests; forest habitat specialist (FS), use of only one kind of forest; and flooded habitat specialist (FHS), use of one or two flooded forest plus open areas. Species with few records were classified as ‘no status set’.

Patterns of occurrence: Since the literature furnishes no consensus about either how long a species has to be absent from a region to be classified as migratory (Hayes Reference Hayes1995, Cueto et al. Reference Cueto and Casenave2006, Yabe et al. Reference Yabe, Marques and Marini2010), or about the definition of migration (Dingle Reference Dingle2008), we used the following operational definitions: species only recorded for one or two or three non-consecutive months were classified as uncommon; species which were recorded in the region for at least 10 months of the year or if it was recorded less than 10 months (nine or eight months) and the absence was not registered continuously for more than two consecutive months were classified as resident. If the absence was registered for three consecutive months or more, the species were classified as migrant, according to season and length of stay in the area. Those recorded for three or four months in the same season were categorised as either: 1) flooding migrant, present between January and April; 2) run-off (= winter) migrant, present between May and August; or 3) dry (= breeding) migrant, present between September and December. Those recorded for three to eight months in two seasons were categorised as either: 4) flooding and run-off migrant, absent between September and December; 5) run-off and dry migrant, absent between January and April; or 6) dry and flood (= summer) migrant, absent between May and August.

For each season, we calculated birds’ frequency of occurrence (FO), following Vielliard and Silva (Reference Vielliard, Silva and Azevedo1990). The Index of Point Abundance (IPA) for each species was calculated for each forest type and season using point count and mist net data (Vielliard and Silva Reference Vielliard, Silva and Azevedo1990, Aleixo and Vielliard Reference Aleixo and Vielliard1995). For bird records made with point counts, we grouped all sampling points from each trail as one event. Similarly, for mist net data we considered each day (10 mist nets times 06h00 to 11h00 period per site) as one event.

To ensure that the variation of detectability over the year did not itself create the migratory patterns found through FO analysis, we constructed community occupancy models that corrected for the detection effect (MacKenzie et al. Reference MacKenzie, Nichols, Royle, Pollock, Bailey and Hines2006, with PRESENCE 3.1 programme created by Hines Reference Hines2006). This approach estimates the fraction of species present, defines if the composition of species changed between seasons, and estimates the increase or decrease in species number. Together, it estimates how the variation of detectability affected the above estimators.

Community models were constructed for migratory pattern. For these analyses, we defined each forested habitat as the site, which was surveyed for 90 minutes at nine points per month (with exception of D-D that were surveyed for 80 minutes, at eight points). This is the survey data from 2000 and 2001 of the study, but we randomly excluded some survey points to equalise sampling effort over the sites. Each month was considered a temporal re-sampling. Because the dry season had more re-samplings (n = 6), we had to insert some “missed observations” on the data of the other seasons until it reached six samples per season. This gave 24 sample points in each season.

We made six concurrent a priori models for the migration patterns determined by FO analyses (see Table 1), modelling the presence of species, probability of a species entering the habitat, probability of a species leaving the habitat, and probability of detection. One group of models was set in PRESENCE as single-season models, which assume that the group of species stays in the Pantanal year-round, and that no new species arrive or depart from it. Another group was set as multi-season models, which assume that the species composition in a given season can be increased or reduced by some species in subsequent seasons. At the same time, the models estimated the effect of detectability over the initial number of species and its changes, one group as with constant effect and another with season-specific or habitat-specific effect. A constant effect means a detection probability less than 1, but the same over the seasons. On the other hand, detection probabilities set as season or habitat-specific means that the detectability varies across these covariates. We chose a model for each migratory pattern when the best ranked model was at least 2 AIC more plausible than the second model. We accepted this model selection approach without any further analyses because, in general, the second ranked model provided a much inferior explanation of the data.

Table 1. Records of migrant or uncommon Pantanal species in the surrounding plateau for each month of the year. Numbers indicate the number of records (banded individuals or sightings) of each species in the sites sampled (Appendix S2). Grey bars indicate the months that each species was recorded in the Pantanal.

Results

We recorded 214 bird species in the four forest habitats, from 46 families, comprising 113 species of Passeriformes and 101 non-Passeriformes (Appendix S1 in the online supplementary material).

Habitat use

Of the 214 species recorded, 183 occurred in semi-deciduous flooded forest, 157 in evergreen flooded forest, 142 in semi-deciduous dry forest, and 113 in deciduous dry forest. Species tended to be generalists with respect to habitat use and forest types: 52.8% of species were considered total habitat generalists, 19.2% were forest generalists, 8.9% were flooded habitat specialists, 2.8% were flooded forest specialists, 2.8% were forest habitat specialists, 0.5% were dry forest specialists, and 13.1% had ‘no status set’ due to a small number of records.

Most species were resident in the Pantanal (56.5% of species), and most of them (64.4%) were total habitat generalists, using at least three of the four forest types and open areas; a few residents (12.4%) used two forest types including, at least, one flooded forest; finally, six species (4.1%) were specialists to semi-deciduous flooded forest (e.g. Solitary Black Cacique Procacicus solitarius) and only Jabiru (Jabiru mycteria) was a resident specialist to evergreen flooded forest, besides open areas.

Among the 37 species that were recorded in two seasons, six occurred in only one forest type, 18 occurred in two forest types, and 13 occurred in three or four forest types (Appendix S1).

Twenty-seven species were present in the region for only one season (flooding, run-off, and dry migrants), of which, five occurred in only one forest type, 17 occurred in two forest types, and five in three or four forest types (Appendix S1).

Some species require some clarification: Red-winged Tinamou Rhynchotus rufescens was recorded only in flooded habitats (forests and open areas), but only during the dry season; Hyacinth Macaw Anodorhynchus hyacinthinus and Chestnut-bellied Guan Penelope ochrogaster, although recorded in only one habitat by standardised methods, were frequently observed using all four forest types and then classified as forest generalist; and Smooth-billed Ani Crotophaga ani was classified as resident once the species uses open areas during the whole year, occurring in the dry forest only during the flooding season.

Patterns of Occurrence

The frequency of occurrence (FO) data indicate which forest each species used during the seasons (Appendix S1). Most (n = 121, 56.5%) species were considered residents since they were present in the region for at least 10 months, or since they were not absent from the Pantanal for more than two consecutive months. Passeriformes had more resident species (n = 75) than non-Passeriformes (n = 46). The number of species in the other migratory classes was: 1) 28 run-off and dry migrants (13.1%); 2) 11 run-off (winter) migrants (5.1%); 3) eight dry and flooding (summer) migrants (3.7%); 4) eight dry (breeding) migrants (3.7%); 5) eight flooding migrants (3.7%); and 6) three flooding and run-off migrants (1.4%). In addition, 27 species (12.6 %) were uncommon in the region (Figure 1).

Figure 1. Migratory status of Passeriformes and non-Passeriformes bird species registered at Pirizal, Pantanal of Poconé, Brazil.

Among the aquatic species that used forests, 11 had higher IPA values during the flooded season with the lowest values during the dry season, while a further eight species had their highest IPA values during the run-off season.

Most dry migrants occurred in the region during two seasons but left the region during the flooded season.

The year-round IPA for each species varied from 0.0018 to 2.073 (Appendix S1). It was possible to divide the resident species into two groups based on the IPA values from the three seasons. For some species, IPA values were more or less constant throughout the year, while for others the IPA values were higher during the dry season than during the flooded season (Figure 2).

Figure 2. Examples of monthly variation of index of point abundance for resident species (Cercomacra melanaria), the flooding (Chloroceryle inda) and breeding migrant (Momotus momota) recorded at Pirizal, Pantanal of Poconé, Brazil.

Most of the 27 uncommon species occurred in the region during the dry (n = 11) or run-off (n = 6) seasons, and only three species visited the region during the flooded season; the other seven uncommon species were recorded in the region in more than one season. Apparently, 35 species do not reproduce in the region since their visit occurred sporadically and only during the winter or the flooded season.

We modelled six of the eight patterns of migration. The flooding migrants and the run-off migrants were not modelled due to the small number of recorded species and the low number of detections. As expected, the models confirmed that species from all six migration patterns colonised and abandoned the Pantanal over the defined seasons.

In five groups, the detectability was found to be much more phytophysiognomy-specific than season-specific, which means that the seasonal variations encountered by FO were not only variation in detectability, even though, detectability is far from being perfect. For example, dry and flooding migrants were detected more easily in some phytophysiognomies than in others. Though this might make it difficult to define where the species is, it does not make it hard to define when the species is in the Pantanal. In fact, the effect of season upon detectability appears to be less than other environmental effects, because even the constant detectability has shown to better explain its variation (Table 2). As a result, the model confirms the tendency that dry and flooding migrant species are mostly present in the Pantanal in these seasons, in contrast to the run-off season (Table 2 and Appendix S2).

Table 2. Ranking of the concurrent community models for the patterns of migration. The probability of the species being present on the dry season is set as constant (.) over the habitats in all models, represented as (ψ(.)). The first three models consider that this probability did not change on the flooding and dry period, because it did not include habitat immigrations, γ, and habitat emigrations, ε. The last three models are multi season (s) models, which were best on most of the cases. They defined the immigrations and emigrations as seasonally varied ((γ(s), ε(s)). Five of the migration patterns had the selected models, ∆AIC = 0, that described the phytophysiognomy (phy) effect over detectability stronger than the season effect (p(phy) and p(s)).

Resident species were more easily detected than the other groups. As almost all (∼85%) of the species from this group were present in all seasons, this suggests that most species stay in the Pantanal throughout the year. Even so, some of these species may undergo local migrations in and out of the Pantanal. The flooded-run-off and the run-off-dry migration patterns had a greater proportion of species than would have been expected in these seasons. Dry migrant was the least-well detected group and the greater proportion of species present in the dry and run-off seasons may be inconclusive, due to increased uncertainty from the low detectability on the estimated parameters.

Uncommon species had highly variable probability of detection over the year (Table 2 and Appendix S2). It was the only group which detectability varied more across the seasons than between habitats. The parameters for the dynamics showed an uncertain change in species composition. For instance, from dry to flooded season, each species was estimated to have 76% probability of emigrating, but this estimate ranges from 0.18% to 0.97% (95% CI). Therefore, we built an a posteriori model that better described a random change in the composition of species over the season (setting ε = 1- γ), which was more plausible than the best of the a priori set (6.3 ∆AIC; Table 2).

Discussion

Habitat use

Species that are able to use different habitats may vary in abundance within a habitat in response to changes in resources or weather conditions (Loiselle and Blake Reference Loiselle and Blake1992). Our data indicate that most bird species use flooded and dry forest types, providing evidence that habitat-generalist species are favoured in the Pantanal, probably due to their use of seasonally available resources. This is in agreement with the idea that in mosaic ecosystems, such as the Pantanal, the climatic instability and high abundance of specific and ephemeral resources favour generalist species (Brown Jr. Reference Brown1986). It has been proposed that resident bird species in the Pantanal could search for additional resources in different habitats in order to compensate for fluctuations in their resource availability (Figueira et al. Reference Figueira, Cintra, Viana and Yamashita2006). Moreover, the various landscape units in the Pantanal probably have important ecological roles, such as migration or dispersal corridors, ecological stepping-stones, and refuges or foraging areas (Nunes da Cunha et al. Reference Nunes da Cunha, Junk and Silveira2002). The high number of generalists in the Pantanal supports the idea that habitat generalist species probably live in the edge of habitats, flooding lowlands, gaps or other naturally open areas (Stotz et al. Reference Stotz, Fitzpatrick, Parker and Moskovits1996). On the other hand, species that cannot adjust their needs to seasonal fluctuations in their resources or predators probably do not persist in such a community (Wolda Reference Wolda, Gee and Giller1987).

Some aquatic species use, and are even abundant in, evergreen forests, mostly during the flooded season. Likewise, some uncommon species were recorded especially in flooded forests. Several aquatic animals make longitudinal migration during the flooded season in the Pantanal in order to take advantage of the high productivity of flooded areas (Junk 1996). Among the resident birds, however, only the Mato Grosso Antbird Cercomacra melanaria and Band-tailed Antbird Hypocnemoides maculicauda showed strong association with flooded forests, suggesting that they are adapted to the flooding cycle (Pinho et al. Reference Pinho, Lopes, Moraes and Fernandes2006). Both species reproduce only in flooded forests (“cambarazais” and “landis”) (Pinho and Marini unpubl. data) and, for the Band-tailed Antbird, also in flooded gallery forests, but only during the flooded season (Pinho et al. Reference Pinho, Lopes, Maldonado-Coelho, Rubio and Bernardon2009, Evangelista and Pinho unpubl. data). In addition, the Mato Grosso Antbird and White-lored Spinetail Synallaxis albilora make seasonal adjustments in their vertical use of forests (Pinho et al. Reference Pinho, Lopes, Moraes and Fernandes2006), a similar behaviour to the one described for Leaden Antwren Myrmotherula assimilis another antbird in the Amazon (Borges and Carvalhaes Reference Borges and Carvalhaes2000).

Migration Patterns

In this study the most problematic detectability variation would be that which varies over the year. This could lead to it being falsely stated that the fraction of species present varies across the year when species are just becoming more or less easy to detect. Although we cannot be certain that the detectability of these species does not change over the year, in the groups, the seasonal effect on detectability is smaller than the phytophysiognomy effect. This suggests that here such a tendency as a group does not occur, but cannot exclude the hypothesis that some species could do so. In the Pantanal, phytophysiognomy should be considered when designing bird studies (Tizianel Reference Tizianel2008). Additionally, detectability also varies among migration patterns. The results of this study provide important information on how much effort and resources should be invested, and where they should be concentrated, in order to reach effective conservation actions. As a whole, the models that corrected the detection confirmed the pattern of migration found in the primary analyses. However, we cannot be sure that each one of these species really does belong in the class to which we assigned it.

Fewer species of these forests were resident (56.5%) compared to other Neotropical forests (72.0% in Robinson et al. Reference Robinson, Brawn and Robinson2000; 73.0% in Anjos et al. Reference Anjos, Volpato, Lopes, Serafini, Poletto and Aleixo2007). This high percentage of non-residents (43.5%) might be explained by the strong seasonality of the Pantanal, promoted not only by climatic (temperature and precipitation) fluctuations but mostly by the strong inundation cycles of the region. Many of these Pantanal non-resident birds do not show any migratory behaviour in other parts of their geographical ranges, suggesting that they are exploring favourable times of the year to feed or reproduce in the Pantanal wetland. This also demonstrates that some of these species have flexible migratory behaviour, that adapts to local conditions.

Emigration of these species from the Poconé region of the Pantanal during part of the year raises the question of where they are migrating to. Possible answers to this question include long-distance migration to breeding or wintering grounds, local movement to other Pantanal habitats or local migration to breeding or wintering grounds. Only a few species in the Pantanal avifauna are known long-distance migrants, such as Yellow-billed Cuckoo Coccyzus americanus, White-crested Elaenia Elaenia albiceps and Vermilion Flycatcher Pyrocephalus rubinus (Marini and Cavalcanti Reference Marini and Cavalcanti1990, Stotz et al. Reference Stotz, Fitzpatrick, Parker and Moskovits1996, Sick Reference Sick1997), which respond to large-scale environmental factors. The second explanation, local movement to other Pantanal habitats during the flooding period, is unlikely for most forest birds because most other alternative habitats (grasslands) are also flooded. Junk (1996) suggested that during flooding, animals would escape to higher habitats, locally named as “cordilheiras”, although this was not observed in the region (Pinho and Marini Reference Pinho and Marini2012). It is possible, however, that some species make local movements to gallery forests along watercourses or to elevated patches of Cerrado (tree-dominated savanna) within the Pantanal, habitats we did not sample. Furthermore, since rainfall and flooding coincide in the northern part of the Pantanal where this study was conducted, but do not in the southern part where inundations occur only 2–3 months later (Nunes da Cunha et al. Reference Nunes da Cunha, Rawiel, Wantzen, Junk and Prado2006), birds from different regions of the Pantanal might show different patterns of residence and migration.

The last explanation for the emigration of these species from the Pantanal during part of the year is that birds make local migration of dozens to hundreds of kilometres to and from the Cerrado plateau surrounding the Pantanal, beyond which is usually considered local habitat shifts. Local migrants are defined as those that reproduce in one type of habitat and stay during the winter in different areas within the same geographical region (Nocedal Reference Nocedal1994). This local migration hypothesis, even though counterintuitive for some species, always considered resident elsewhere, if supported, would have several ecological, behavioural and conservation implications. To provide an initial test of this hypothesis, we compiled data from local ornithologists regarding the timing of occurrence of several Pantanal migratory species in five plateau sites surrounding (< 100 km) the Pantanal (Appendix S3). These data consist mostly of banding or observational records of birds made for other purposes, and do not enable us to make quantitative analyses, since sampling efforts varied considerably in time and among sites.

In spite of these constraints, it was possible to collect reasonable evidence for the occurrence in the surrounding plateau of 17 species (Table 1). Among them, seven are residents on the surrounding plateau, probably visiting the Pantanal on a seasonal basis during flooding (Band-tailed Manakin Pipra fasciicauda and Fork-tailed Woodnymph Thalurania furcata), flooding and run-off (Green-and-rufous Kingfisher Chloroceryle inda), run-off (winter) (Ochre-cheeked Spinetail Synallaxis scutata and White-lined Tanager Tachyphonus rufus), run-off and dry season (Planalto Hermit Phaethornis pretrei) and dry (Amazonian Motmot Momotus momota) season. Among these seven species, apparently only the last one breeds in the Pantanal.

Another group of three species (Pectoral Sparrow Arremon taciturnus, Plain Antvireo Dysithamnus mentalis and Sepia-capped Flycatcher Leptopogon amaurocephalus) are also resident in the surrounding plateau, but they are uncommon in the Pantanal. The same will probably hold true for most of the other 17 uncommon species that are not long-distance migrants (Table 1). One species (Cinnamon-throated Hermit Phaethornis nattereri) seems to be a long-distance migrant, since it occurs on the surrounding plateau at a similar time of the year, disappearing from the region from December to May, even though it is not considered migratory (Ridgely and Tudor Reference Ridgely and Tudor1994, Sick Reference Sick1997, del Hoyo et al. Reference Del Hoyo, Elliott and Sargatal1999). Two species (Red-eyed Vireo Vireo olivaceus and Swainson’s Flycatcher (Myiarchus swainsoni) occur on the surrounding plateau during only three months of the year, which corresponds to the dry season in the Pantanal. Both apparently reproduce in the Pantanal, but migrate from the wetland in the flooded (Red-eyed Vireo) and in the run-off (winter) (Swainson’s Flycatcher) seasons.

Lastly, there is a group of four species (Rufous-breasted Hermit Glaucis hirsutus, White-eared Puffbird Nystalus chacuru, Rufous-browed Peppershrike Cyclarhis gujanensis and Grassland Sparrow Ammodramus humeralis) which stay in the Pantanal only during the dry (breeding) season or during the dry and flooded seasons (Rufous-breasted Hermit). All these species have more records on the surrounding plateau exactly during the period when they do not occur in the Pantanal (Table 1), suggesting that they may migrate between the Pantanal and the surrounding plateau on a seasonal basis. However, these species also breed on the surrounding plateau.

Overall, the evidence above indicates that several species of birds might be performing either seasonal or occasional movements between the Pantanal and the surrounding plateau. This implies that several species have year-to-year flexibility in their capacity to develop regional migratory behaviours and to explore resources variable in space and time, year-to-year, depending on water level fluctuation in the floodplain. The conservation implications of these regional movements are threefold: first, it indicates that at least part of the bird community that uses the forests within the Pantanal lowlands might be dependent on the natural habitats of the surrounding plateau through a seasonal use of both of these areas; second, it suggests that the Pantanal may be an area for ingress of several populations from the surrounding plateau; and third, it suggests that several migratory and uncommon species may move from, or travel through, the Pantanal to other regions. A better understanding of all these migratory and movement patterns in the region requires that more studies be done, and may provide new approaches and reasoning to help the establishment of conservation policies for the region (Alves Reference Alves2007).

Species that migrate only during the breeding season (dry season migrants) arrive at the Pantanal at the end of the run-off season (around April–May) to reproduce, staying in the wetlands until the end of the reproductive season (around early January) when flooding begins. This period between September and December (dry season) had the highest IPA and FO values for the dry season of several migrants. High IPA values are expected during the breeding season as was reported by Aleixo and Vielliard (Reference Aleixo and Vielliard1995) at Santa Genebra forest, São Paulo State. The flooding season is especially inappropriate for understory species living in flooded forests since the ground and the lower herbaceous strata are flooded for several months.

Most austral migrants do not reproduce in the Pantanal. Six species (Picui Dove Columbina picui, White-crested Elaenia, Vermilion Flycatcher, Rufous-tailed Attila Attila phoenicurus, Rufous Casiornis Casiornis rufus and Swainson’s Flycatcher) that are considered austral migrants (Stotz et al. Reference Stotz, Fitzpatrick, Parker and Moskovits1996) do not reproduce in the Pantanal, whereas others (Buff-necked Ibis Theristicus caudatus, Creamy-bellied Thrush Turdus amaurochalinus and Streaked Flycatcher Myiodynastes maculatus) reproduce in the study area. However, the former are apparently resident in our study area.

Winter migrants arrive in the Pantanal, probably in response to the reduction of aquatic habitats, in the early run-off season and remain in the region until September, when most start to breed. Yellow-bellied Elaenia Elaenia flavogaster, Southern Scrub-flycatcher Sublegatus modestus, Vermilion Flycatcher and Black-backed Water-tyrant Fluvicola albiventer pass the whole winter in the Pantanal. However, there are no regional breeding records for any of these species.

Greater Ani Crotophaga major has a unique occurrence pattern in the region. It was considered a dry and flood migrant, since it arrives in the region at the end of the summer, breeds during the flooding season and leaves the region at the end of the dry season. The species literally disappears for several months, not only from the Pantanal, but also from all points in its known range, including the Amazon region (Stotz et al. Reference Stotz, Fitzpatrick, Parker and Moskovits1996). It might move southward following the cyclical flood regime.

In the Pantanal, the migration of aquatic birds is better described than that of other bird guilds (Antas Reference Antas1994). Aquatic birds reproduce in the Pantanal at the end of the run-off season when food (mostly fish and invertebrates) is more readily available as they become trapped and isolated in small lagoons. These reproductive colonies are considered very important for South American aquatic birds (Antas Reference Antas1994). These birds leave the Pantanal towards the south at the end of the summer, just before the start of flooding (Antas Reference Antas1994, Hayes et al. Reference Hayes, Scharf and Ridgely1994).

Several species were considered uncommon in the region, and might be individuals passing through the region or making exploratory movements (e.g. Spot-backed Puffbird Nystalus maculatus, Plain-crested Elaenia Elaenia cristata).

Conservation applications

The Pantanal, one of the largest freshwater floodplain in the world, is an ecologically highly productive system, dependent on the flood pulse of the tributary rivers from adjacent plateaus (cerrados) of the Pantanal floodplain, which results in an extremely biodiverse and heterogeneous landscape with different degrees of flooding. The flooding is a natural event, which promotes changes in the structure and composition of habitats in this biome (Junk and Silva 1999). Changes in flood pulse in the Pantanal floodplain may cause major transformations in landscape units, especially affecting the forests, which are dependent on the input of energy brought by the rivers (Nunes da Cunha and Junk Reference Nunes da Cunha, Junk, Junk, da Silva, Nunes da Cunha and Wantzen2009b).

In the Pantanal, the highest values for richness, abundance and exclusive species of birds have been recorded in forested habitats, with the flooded forests (semi-deciduous forest and evergreen forest) preceding the dry forests (semi-deciduous dry forest and deciduous dry forest). Bird species richness for these forests is affected by the flood pulse within the Pantanal floodplain (Pinho and Marini Reference Pinho and Marini2012). Many species of resident and migratory birds make use of these forests, collectively deploying a variety of patterns throughout the year (Appendix S2), to use them as sites for reproduction and foraging. With habitat loss, the community of forest-dependent birds can be negatively affected in its richness, abundance and with possible changes of migratory routes of some species, so that both the migration route, and the suite of species, using it could disappear.

Due to the importance of bird conservation, other habitats should also be evaluated, such as the many types of seasonally flooded savanna parklands (Nunes da Cunha and Junk Reference Nunes da Cunha, Junk, Junk, da Silva, Nunes da Cunha and Wantzen2009a). Some of these savanna parkland types are important bird habitats for breeding and foraging. Others, such as termite fields, serve as a resting places for birds during both local movements and longer distance migrations (Yabe et al. Reference Yabe, Marques and Marini2010).

Currently, seasonally flooded savanna parklands are suffering encroachment by shrubs (e.g. Combretum laxum) and tree species (e.g. Vochysia divergens; Dorado-Rodrigues et al. Reference Dorado-Rodrigues, Layme, Silva, Nunes da Cunha and Strüssmann2015; Nunes da Cunha and Junk Reference Nunes da Cunha and Junk2004) and the replacement of native grasses by the exotic species preferred for cattle grazing, which can resist both flood and drought. Both the encroachment and the replacement result in a lowered biodiversity of herbaceous plants (Rebellato and Nunes da Cunha Reference Rebellato and Nunes da Cunha2005) and associated insects, and thereby may impact the potential dietary components of insectivorous species of the Pantanal avifauna (Junk and Nunes da Cunha Reference Junk and Nunes da Cunha2012). The pressure for increasing grazing areas also falls on semi-deciduous dry forests which are cut to make way for pastureland; this ill-advised land-management practice reduces the habitats for the wildlife that depend on these areas for refuge during the flood and restrains birds’ movements from a habitat to another. Aragona (Reference Aragona2008) also calls attention to the fact that areas of semi-deciduous dry forest, which have been traditionally used to build houses and access routes, are now being clear-cut to serve as a dryland refuge for cattle during the flood period (Junk and da Silva Reference Junk, da Silva, Dantas, Catto and Resende1996), prejudicing the species exclusive to this habitat. Our study found that four species use exclusively semi-deciduous dry forests (Smooth-billed Ani, White-faced Whistling-Duck Dendrocygna viduata, Pearl Kite Gampsonyx swainsonii, and Sulphur-bellied Tyrant-manakin Neopelma sulphureiventer). In fact, Harris et al. (Reference Harris, Tomas, Mourão, Silva, Guimarães, Sonoda and Fachim2005) claim that 40% of forests and native grasslends have been deforested for conversion to pasture for livestock in the floodplain, and this is a cause for extreme concern.

Pinho and Marini (Reference Pinho and Marini2012) point out that research on other taxa should be taken into account when considering bird conservation planning and management. For example, floristic richness and diversity are higher in semi-deciduous dry forest than in deciduous dry forest (Nunes da Cunha and Arieira Reference Nunes da Cunha and Arieira1996, Nunes da Cunha et al. Reference Nunes da Cunha, Junk and Silveira2002). In research with terrestrial small mammals in the same area as the current study, and sampling three of the four forest types presented here (deciduous dry forest excepted), Aragona (Reference Aragona2008) pinpointed that, although richness is similar for the three habitats throughout the year, diversity and composition varied between them. Only 21.4% of the species (n = 3) are common to all three forest types, while 42.8% (n = 6) were exclusive of only one type of forest.

The advance of agribusiness in the adjacent plateau has produced a variety of impacts on the Upper Paraguay River basin and in the Pantanal floodplains, of which only 2.5% is formally protected (Harris et al. Reference Harris, Tomas, Mourão, Silva, Guimarães, Sonoda and Fachim2005). For Alho (Reference Alho2008), the biggest problem of the Pantanal floodplain conservation comes from the plateau, where 63% of the natural vegetation cover has been removed. The establishment of farms in those areas has increased deforestation, soil run-off and the consequent silting-up of local rivers, from which materials and agricultural chemicals then leached into the floodplain and contaminate soil and water (Pott and Pott Reference Pott and Pott2004). Moreover, the deforestation in the plateau, by selective habitat destruction on the edges of the Pantanal, also affects the connectivity between the Pantanal with adjacent biomes (plateau-floodplain link), as highlighted by Lourival et al. (Reference Lourival, McCallum, Grigg, Arcangelo, Machado and Possingham2009), negatively influencing gene flow of many groups.

Changes in the flood pulse, caused by hydroelectric power plants and commercial canals (hidrovias), also represent risk to the effective continued conservation of birds (Pinho and Marini, Reference Pinho and Marini2012; Calheiros et al., Reference Calheiros, Oliveira, Padovani and Ioris2012), as well as the biota of the Pantanal in general. According to Poff et al. (Reference Poff, Allan, Bain, Karr, Prestegaard, Richter, Sparks and Stromberg1997), ecological process in river ecosystems are regulated by magnitude, frequency, duration, timing, and rate of change of hydrologic conditions. Calheiros et al. (Reference Calheiros, Oliveira, Padovani and Ioris2012) presented a survey of hydroelectric projects to the Pantanal, quantifying the types of hydropower projects: large (7) and small (23) hydroelectric plans and hydroelectricity generating centrals (8) as well as their status: in operation (38), under construction (3), licensed (63) and under consideration (31). If all 135 projects come into operation, they will account for 70% of the water in the entire Pantanal system. In addition, Calheiros et al. (Reference Calheiros, Oliveira, Padovani and Ioris2012) call attention to the fact that the majority of the small projects are located/planned for the same river and so the resulting collective impacts will have synergistic effects equal in magnitude to that of a large dam. The negative impacts of dams include fragmentation and modification of aquatic habitats, transforming lotic ecosystem into lentic and semi-lentic ecosystems, altering the flow of matter and energy, and the establishment of barriers to movement for migratory species (Calheiros et al., Reference Calheiros, Oliveira, Padovani and Ioris2012).

These changes not only mean a reduction of the flood pulse intensity in the floodplain, but may also cause a distortion of the flood cycle, causing a knock-on effect, which can cause the loss, by structural modification, of key habitats for the maintenance of forested birds in the Pantanal. As a consequence, some species may simply vanish from the Pantanal (e.g. Chestnut-bellied Guan, Tropical Pewee Contopus cinereus, Red-throated Piping-Guan Aburria cujubi).

The loss of natural forests and other habitats in the Pantanal, besides affecting biodiversity in general, also compromises tourist activity, which has generated increasing financial resources for farmers in the region. For Lourival et al. (Reference Lourival, McCallum, Grigg, Arcangelo, Machado and Possingham2009), the involvement of local society with an appropriate management of its properties is important for effective preservation of Pantanal biodiversity, since 95% of the land is in private hands.

Several species of birds in the region made shorter or longer movements in response to the flooding regime and to climatic variations. These responses vary considerably among species, including six types of migratory patterns. The existence of these various types of migratory patterns, so different in space and time, indicates the need for complex conservation measures. In order to conserve the greatest possible number of the bird species that use Pantanal forests, habitats must also be protected in sites to the north and south of the Pantanal, as well as in the neighbouring Cerrado plateau. However, ongoing and planned developmental programmes associated with poor habitat protection may rapidly create a major conservation problem, unless large scale conservation planning is implemented soon.

Supplementary Material

To view supplementary material for this article, please visit https://doi.org/10.1017/S0959270916000290

Acknowledgements

This is a contribution of the Nucleus of Ecological Researches of the Pantanal (NEPA), which derives from co-operation between the Universidade Federal de Mato Grosso and the Max-Planck-Institute of Limnology (MPIL). This study was supported by grants from the Pantanal Research Center (CPP), Instituto Nacional de Ciências e Tecnologia em Áreas Úmidas (INAU)/Ministério de Ciências e Tecnologia (MCT) and Programa de Ecologia de Longa Duração (PELD), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). The graduate programme of “Conservação e Manejo da Vida Silvestre” from UFMG and the US Fish and Wildlife Service provided support. MÂM was supported by a Researcher Fellowship from CNPq and MA was supported by a post-doctoral fellowship from PNPD/CAPES. We thank A. Chiarello, J.E. Figueira, A. Guaraldo, A. Hass, J. M. Penha and M. Rodrigues for criticisms of earlier drafts of the manuscript.

References

Aleixo, A. and Vielliard, J. M. E. (1995) Composição e dinâmica da avifauna da mata de Santa Genebra, Campinas, São Paulo, Brasil. Rev. Bras. Zool. 12: 493511.Google Scholar
Alves, M. A. S. (2007) Sistemas de migrações de aves em ambientes terrestres no Brasil: exemplos, lacunas e propostas para o avanço do conhecimento. Rev. Bras. Ornitol. 15: 231238.Google Scholar
Alho, C. J. R. (2008) Biodiversity of the Pantanal: response to seasonal flooding regime and to environmental degradation. Braz. J. Biol. (4, Suppl.): 957966.CrossRefGoogle ScholarPubMed
Anjos, L., Volpato, G. H., Lopes, E. V., Serafini, P. P., Poletto, F. and Aleixo, A. (2007) The importance of riparian forest for the maintenance of bird species richness in an Atlantic Forest remnant, southern Brazil. Rev. Bras. Zool. 24: 10781086.CrossRefGoogle Scholar
Antas, P. T. Z. (1994) Migration and other movements among the lower Paraná River valley wetlands, Argentina, and the south Brazil/Pantanal wetlands. Bird Conserv. Internatn. 4: 181190.CrossRefGoogle Scholar
Aragona, M. (2008) História natural, biologia reprodutiva, parâmetros populacionais e comunidades de pequenos mamíferos não voadores em três hábitats florestados do Pantanal de Poconé, MT. PhD Dissertation, UnB, Brasília, Brazil, 134p.Google Scholar
Azevedo, S. M. Jr., Dias, M. M., Larrazábal, M. E. L., Telino-Júnio, W. R., Lyra-Neves, R. M. and Fernandes, C. J. G. (2001) Recapturas e recuperações de aves migratórias no litoral de Pernambuco, Brasil. Ararajuba 9: 3342.Google Scholar
Blake, J. G. and Loiselle, B. A. (2002) Manakins (Pipridae) in second-growth and old-growth forests: patterns of habitat use, movement, and survival. Auk 119: 132148.CrossRefGoogle Scholar
Borges, S. H. and Carvalhaes, A. (2000) Bird species of black water inundation forest in the Jaú National Park (Amazonas state, Brazil): their contribution to regional species richness. Biodivers. Conserv. 9: 201214.Google Scholar
Brown, K. S Jr.. (1986) Zoogeografia da região do Pantanal Mato-grossense. Pp. 137178 in EMBRAPA, ed. Anais do I simpósio sobre recursos naturais e sócio-econômicos do Pantanal. Corumbá, Brazil: EMBRAPA – CPAP.Google Scholar
Calheiros, D. F., Oliveira, M. D. and Padovani, C. R. (2012) Hydro-ecological process and anthropogenic impacts on the ecosystem services of the Pantanal wetland. Pp. 2957 in Ioris, A. A. R. , ed. Tropical wetland management: The South-American Pantanal and the International Experience. Farnham, UK: Ashgate Publishing Limited.Google Scholar
Cueto, V. R. and Casenave, J. L. (2006) Nuevas miradas sobre las aves migratorias americanas: Técnicas, padrones, procesos y mecanismos. Hornero 21: 6163.CrossRefGoogle Scholar
Da Silva, C. J., Wantzen, K. M., Nunes da Cunha, C. and Machado, F. A. (2001) Biodiversity in the Pantanal wetland, Brazil. Pp. 187215 in Gopal, B., Junk, W. J. and Davis, J. A., eds. Biodiversity in wetlands: assessment, function and conservation. Leiden, The Netherlands: Backhuys Publishers.Google Scholar
Del Hoyo, J., Elliott, A. and Sargatal, J. (1999) Handbook of the birds of the world - Barn Owls to Hummingbirds. Barcelona, Spain: Lynx Edicions.Google Scholar
Dingle, H. (2008) Bird migration in the southern hemisphere: a review comparing continents. Emu 108: 341359.CrossRefGoogle Scholar
Dorado-Rodrigues, T. F., Layme, V. M. G., Silva, F. H. B., Nunes da Cunha, and Strüssmann, C. (2015) Effects of shrub encroachment on the anuran community in periodically flooded grasslands of the largest Neotropical wetland. Austr. Ecol. doi: 10.1111/aec.12222 Google Scholar
Figueira, J. E. C., Cintra, R., Viana, L. R. and Yamashita, C. (2006) Spatial and temporal patterns of bird species diversity in the Pantanal of Mato Grosso, Brazil: implications for conservation. Braz. J. Biol. 66: 393404.CrossRefGoogle ScholarPubMed
Franco, M. S. S. and Pinheiro, R. (1982) Geomorfologia. Pp. 161–224 in Levantamento de recursos naturais, Folhas SE.20 e SE.21, v.27. Projeto RADAMBRASIL. Rio de Janeiro, Brazil: Ministério das Minas e Energia.Google Scholar
Galetti, M. (2001) Seasonal movements and diet of the Plumbeous Pigeon (Columba plumbea) in a Brazilian Atlantic Forest. Melopsittacus 4: 3943.Google Scholar
Girard, P. (2011) Hydrology of surface and ground waters in the Pantanal floodplains. Pp. 103126 in Junk, W. J., da Silva, C. J., Nunes da Cunha, C. and Wantzen, K. M., eds. The Pantanal: Ecology, biodiversity and sustainable management of a large neotropical seasonal wetland. Sofia, Bulgaria and Moscow, Russia: Pensoft Publishers.Google Scholar
Harris, M. B., Tomas, W., Mourão, G., Silva, C. J., Guimarães, E., Sonoda, F. and Fachim, E. (2005) Safeguarding the Pantanal wetlands: threats and conservation initiatives. Conserv. Biol. 19: 714720.CrossRefGoogle Scholar
Hatchette, T. F., Walker, D., Johnson, C., Baker, A., Pryor, S. P. and Webster, R. G. (2004) Influenza A viruses in feral Canadian ducks: extensive reassortment in nature. J. Gen. Virol. 85: 23272337.CrossRefGoogle ScholarPubMed
Hayes, F. E., Scharf, P. A., Ridgely, R. S. (1994) Austral bird migrants in Paraguay. Condor 96: 8397.Google Scholar
Hayes, F. E. (1995) Definitions for migrant birds: what is a Neotropical migrant? Auk 112: 521523.CrossRefGoogle Scholar
Hines, J. E. (2006) Program PRESENCE (Version 2): Software to compute estimates patch occupancy rates and related parameters, USGS-PWRC, available at: http://www.mbr-pwrc.usgs.gov/software/presence.html.Google Scholar
Junk, W. J. and da Silva, C. J. (1996) O conceito do pulso de inundação e suas implicações para o Pantanal Mato Grossense. Pp. 1728 in Dantas, M., Catto, J. B. and Resende, E. K., eds. Anais do II Simpósio sobre Recursos Naturais e Sócio-econômicos do Pantanal - Manejo e Conservação. Corumbá, Brasil: EMBRAPA.Google Scholar
Junk, W. J. and Nunes da Cunha, C. (2012) Pasture clearing from invasive woody plants in the Pantanal: a tool for sustainable management or environmental destruction? Wetlands Ecol. Manage. 20: 111122.CrossRefGoogle Scholar
Junk, W. J., Barley, P. B. and Sparks, R. S. (1989) The flood pulse concept in river-floodplain systems. Can. Spec. Publ. Fish. Aquat. Sci. 106: 110127.Google Scholar
Law, B. S. and Dickman, C. R. (1998) The use of habitat mosaics by terrestrial vertebrate fauna: implications for conservation and management. Biodivers. Conserv. 7: 323333.Google Scholar
Liu, J., Xiao, H., Lei, F., Zhu, Q., Qin, K., Zhang, X. W., Zhang, X.-L., Zhao, D., Wang, G., Feng, Y., Ma, J., Liu, W., Wang, J. and Gao, G. F. (2005) Highly pathogenic H5N1 influenza virus infection in migratory birds. Science 309: 1206.Google Scholar
Loiselle, B. A. and Blake, J. G. (1992) Population variation in a tropical bird community. BioScience 42: 838845.Google Scholar
Lourival, R., McCallum, H., Grigg, G., Arcangelo, C., Machado, R. and Possingham, H. (2009) A systematic evaluation of the conservation plans for the Pantanal wetland in Brazil. Wetlands 29: 11891201.Google Scholar
Machado, C. G. (1997) Vireo olivaceus (Vireonidae): uma espécie migratória nos bandos mistos de aves na Mata Atlântica do sudeste brasileiro. Ararajuba 5: 6062.Google Scholar
MacKenzie, D. I., Nichols, J. D., Royle, J. A., Pollock, K. H., Bailey, L. and Hines, J. E. (2006) Occupancy estimation and modeling ‒ Inferring patterns and dynamics of species occurrence . Amsterdam, The Netherlands: Elsevier Publishing.Google Scholar
Marini, M. Â. and Cavalcanti, R. B. (1990) Migrações de Elaenia albiceps chilensis e Elaenia chiriquensis albivertex (Aves: Tyrannidae). Bol. Mus. Para. Emílio Goeldi, Zool. 6: 5967.Google Scholar
Nascimento, M. T. and Nunes da Cunha, C. (1989) Estrutura e composição florística de um Cambarazal no Pantanal de Poconé - MT. Acta Bot. Bras. 3: 323.CrossRefGoogle Scholar
Negret, A. J. and Negret, R. A. (1981) As aves migratórias do Distrito Federal. BoletimTécnico n° 6. Brasília, Brazil: IBDF/MA.Google Scholar
Nocedal, J. (1994) Local migrations of insectivorous birds in western Mexico: implications for the protection and conservation of their habitats. Bird Conserv. Internatn. 4: 129142.Google Scholar
Nunes da Cunha, C. (1990) Estudo florístico e fitossociológico das principais formações arbóreas do Pantanal de Poconé, MT. MSc Thesis, UNICAMP, Campinas, Brazil.Google Scholar
Nunes da Cunha, C. and Arieira, J. (1996) Fitossociologia de uma floresta inundável monodominante de Vochysua divergens Pohl (Vochysiaceae), no Pantanal Norte, MT, Brasil. Acta Bot. Bras. 20: 569580.Google Scholar
Nunes da Cunha, C. and Junk, W. (1996) Composição florística de capões e cordilheiras: localização das espécies lenhosas quanto ao gradiente de inundação no Pantanal de Poconé, MT - Brasil. Pp. 387405 in Dantas, M., Catto, J. B., and Resende, E. K., eds. Anais do II simpósio sobre recursos naturais e sócio-econômicos do Pantanal -manejo e conservação. Corumbá, Brasil: EMBRAPA.Google Scholar
Nunes da Cunha, C. and Junk, W. J. (2004) Year-to-year changes in water level drive the invasion of Vochysia divergens in Pantanal grasslands. Appl. Veg. Sci. 7: 103110.Google Scholar
Nunes da Cunha, C. and Junk, W. J. (2009a) A preliminary classification of habitats of the Pantanal of Mato Grosso and Mato Grosso do Sul, and its relation to national and international wetland classification systems. Pp. 127141 in Junk, W. J., da Silva, C. J., Nunes da Cunha, C. and Wantzen, K. M., eds. The Pantanal: Ecology, biodiversity and sustainable management of a large neotropical seasonal wetland. Sofia, Bulgaria and Moscow, Russia: Pensoft Publishers.Google Scholar
Nunes da Cunha, C. and Junk, W. J. (2009b) Landscape units of the Pantanal: structure, function, and human use. Pp. 301326 in Junk, W. J., da Silva, C. J., Nunes da Cunha, C. and Wantzen, K. M., eds. The Pantanal: Ecology, biodiversity and sustainable management of a large neotropical seasonal wetland. Sofia, Bulgaria, and Moscow, Russia: Pensoft Publishers.Google Scholar
Nunes da Cunha, C., Junk, W. J. and Silveira, E. A. (2002) A importância da diversidade de paisagem e da diversidade arbórea para a conservação do Pantanal. Recife, Brasil: Imprensa Universitária - UFPE.Google Scholar
Nunes da Cunha, C., Rawiel, P., Wantzen, K. M., Junk, W. J. and Prado, A. L. (2006) Mapping and characterization of vegetation units by means of Landsat imagery and management recommendations for the Pantanal of Mato Grosso (Brazil), north of Poconé. Amazoniana XIX: 13.Google Scholar
Olmos, F. and Silva e Silva, R. (2001) The avifauna of a southeastern Brazilian mangrove swamp. Int. J. Ornithol. 4: 137207.Google Scholar
Pinho, J. B. and Marini, M. Â. (2012) Using birds to set conservation priorities for Pantanal wetland forests, Brazil. Bird Conserv. Internatn. 22: 155169.CrossRefGoogle Scholar
Pinho, J. B., Lopes, L. E., Moraes, D. H. and Fernandes, A. M. (2006) Life history of the Mato Grosso Antbird Cercomacra melanaria in the Brazilian Pantanal. Ibis 148: 321329.Google Scholar
Pinho, J. B., Lopes, L. E., Maldonado-Coelho, M., Rubio, T. C. and Bernardon, B. (2009) Habitat associations and nests of Band-tailed Antbirds (Hypocnemoides maculicauda) in the Brazilian Pantanal. Wilson J. Ornithol. 121: 153159.CrossRefGoogle Scholar
Poff, N. L., Allan, J. D., Bain, M. B., Karr, J. R., Prestegaard, K. L., Richter, B. D., Sparks, R. E. and Stromberg, J. C. (1997) The natural flow regime: a paradigm for river conservation and restoration. BioScience 47: 769784.CrossRefGoogle Scholar
Pott, A. and Pott, V. J. (2004) Features and conservation of the Brazilian Pantanal wetland. Wetlands Ecol. Manage. 12: 547552.Google Scholar
Rebellato, L. and Nunes da Cunha, C. (2005) Efeito do “fluxo sazonal mínimo da inundação” sobre a composição e estrutura de um campo inundável no Pantanal de Poconé, MT, Brasil. Acta Bot. Bras. 19(4): 789799.CrossRefGoogle Scholar
Remsen, J. V Jr.. (2001) True winter range of the Veery (Catharus fuscescens): lessons for determining winter ranges of species that winter in the tropics. Auk 118: 838848.Google Scholar
Ribeiro, G. L. S. (1999) Landi da Moranga: Uma análise da comunidade arbustivo-arbórea e sua interface com o campo de murunduns no Pantanal de Poconé - MT. MSc Thesis, UFMT, Cuiabá, Brazil.Google Scholar
Ridgely, R. S. and Tudor, G. (1994) The Birds of South America - The suboscine Passerines. Oxford, UK: Oxford University Press.Google Scholar
Robinson, W. D., Brawn, J. D. and Robinson, S. K. (2000) Forest bird community structure in central Panama: influence of spatial scale and biogeography. Ecol. Monogr. 70: 209235.Google Scholar
Sick, H. (1979) Migrações de aves no Brasil. Bras. Florest. 9: 710.Google Scholar
Sick, H. (1983) Migrações de Aves na América do Sul Continental. Brasília, Brazil: Centro de Estudos de Migrações de Aves (CEMAVE).Google Scholar
Sick, H. (1997) Ornitologia Brasileira. Rio de Janeiro, Brazil: Nova Fronteira.Google Scholar
Signor, C. A. and Pinho, J. B. (2011) Spatial diversity patterns of birds in a vegetation mosaic of the Pantanal, Mato Grosso, Brazil. Zoologia 28: 725738.Google Scholar
Silva, M. P., Mauro, R., Mourão, G. and Coutinho, M. (2000) Distribuição e quantificação de classes de vegetação do Pantanal através de levantamento aéreo. Rev. Bras. Bot. 23: 143152.Google Scholar
Stotz, D. F., Fitzpatrick, J. W., Parker, T. III and Moskovits, D. K. (1996) Neotropical birds: Ecology and conservation. Chicago, USA: University of Chicago Press.Google Scholar
Stouffer, P. C. and Bierregaard, R. O Jr. (1996) Forest fragmentation and seasonal patterns of hummingbird abundance in Amazonian Brazil. Ararajuba 4: 914.Google Scholar
Stutchbury, B. J. M., Tarof, S. A., Done, T., Gow, E., Kramer, P. M., Tautin, J., Fox, J. W. and Afanasyev, V. (2009) Tracking long-distance songbird migration by using geolocators. Science 323: 896.Google Scholar
Tizianel, F. A. T. (2008) Efeitos da complexidade da vegetação de fitofisionomias naturais e pastagens cultivadas sobre a comunidade de aves em duas fazendas no Pantanal da Nhecolândia, Corumbá, Mato Grosso do Sul. MS. MScThesis, UFMS, Campo Grande, Brazil.Google Scholar
Vasconcellos, M. F. and Lombardi, J. A. (1999) Padrão sazonal na ocorrência de seis espécies de beija-flores (Apodiformes: Trochilidae) em uma localidade de campo rupestre na Serra do Curral, Minas Gerais. Ararajuba 7: 7179.Google Scholar
Vielliard, J. M. E. and Silva, W. R. (1990) Nova metodologia de levantamento quantitativo da avifauna e primeiros resultados no interior de São Paulo, Brasil. Pp. 117151 in Azevedo, S. M. Jr., ed. Anais IV Encontro Nacional de Anilhadores de Aves: Recife, Brazil: Universidade Federal Rural de Pernambuco.Google Scholar
Wolda, H. (1987) Seasonality and the community. Pp. 6995 in Gee, J. H. R. and Giller, P. S., eds. Organization of communities: past and present. Oxford, UK: Blackwell Science Publication.Google Scholar
Yabe, R. S., Marques, E. Z. J. and Marini, M. Â. (2010) Movements of birds among natural vegetation patches in the Pantanal, Brazil. Bird Conserv. Internatn. 20: 400409.Google Scholar
Figure 0

Table 1. Records of migrant or uncommon Pantanal species in the surrounding plateau for each month of the year. Numbers indicate the number of records (banded individuals or sightings) of each species in the sites sampled (Appendix S2). Grey bars indicate the months that each species was recorded in the Pantanal.

Figure 1

Figure 1. Migratory status of Passeriformes and non-Passeriformes bird species registered at Pirizal, Pantanal of Poconé, Brazil.

Figure 2

Figure 2. Examples of monthly variation of index of point abundance for resident species (Cercomacra melanaria), the flooding (Chloroceryle inda) and breeding migrant (Momotus momota) recorded at Pirizal, Pantanal of Poconé, Brazil.

Figure 3

Table 2. Ranking of the concurrent community models for the patterns of migration. The probability of the species being present on the dry season is set as constant (.) over the habitats in all models, represented as (ψ(.)). The first three models consider that this probability did not change on the flooding and dry period, because it did not include habitat immigrations, γ, and habitat emigrations, ε. The last three models are multi season (s) models, which were best on most of the cases. They defined the immigrations and emigrations as seasonally varied ((γ(s), ε(s)). Five of the migration patterns had the selected models, ∆AIC = 0, that described the phytophysiognomy (phy) effect over detectability stronger than the season effect (p(phy) and p(s)).

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