Open Access
Translator Disclaimer
3 May 2017 How do en route events around the Gulf of Mexico influence migratory landbird populations?
Emily B. Cohen, Wylie C. Barrow, Jeffrey J. Buler, Jill L. Deppe, Andrew Farnsworth, Peter P. Marra, Scott R. McWilliams, David W. Mehlman, R. Randy Wilson, Mark S. Woodrey, Frank R. Moore
Author Affiliations +

Habitats around the Gulf of Mexico (GOM) provide critical resources for Nearctic–Neotropical migratory landbirds, the majority of which travel across or around the GOM every spring and fall as they migrate between temperate breeding grounds in North America and tropical wintering grounds in the Caribbean and Central and South America. At the same time, ecosystems in the GOM are changing rapidly, with unknown consequences for migratory landbird populations, many of which are experiencing population declines. In general, the extent to which events encountered en route limit migratory bird populations is not well understood. At the same time, information from weather surveillance radar, stable isotopes, tracking, eBird, and genetic datasets is increasingly available to address many of the unanswered questions about bird populations that migrate through stopover and airspace habitats in the GOM. We review the state of the science and identify key research needs to understand the impacts of en route events around the GOM region on populations of intercontinental landbird migrants that breed in North America, including: (1) distribution, timing, and habitat associations; (2) habitat characteristics and quality; (3) migratory connectivity; and (4) threats to and current conservation status of airspace and stopover habitats. Finally, we also call for the development of unified and comprehensive long-term monitoring guidelines and international partnerships to advance our understanding of the role of habitats around the GOM in supporting migratory landbird populations moving between temperate breeding grounds and wintering grounds in Mexico, Central and South America, and the Caribbean.

Migratory birds can travel awe-inspiring distances, sometimes over sea and inhospitable landscapes, during many round-trip journeys over a lifetime. Although flight through airspace and foraging in stopover habitats that vary in suitability may come with considerable risks, the extent to which resources and threats encountered during migration limit populations remains unclear (Newton 2006). The mortality associated with migration may be substantial (Sillett and Holmes 2002, Newton 2006, Rockwell et al. 2017), but the reproductive benefits of exploiting seasonally abundant resources during the temperate summer and tropical winter presumably balance or outweigh the costs of migration. That said, unprecedented anthropogenic changes in atmospheric conditions aloft and availability of suitable stopover habitat on the ground may be increasing the threats and inflating the costs associated with migration (Wilcove and Wikelski 2008).

The Gulf of Mexico (GOM) is a conspicuous feature of the Neotropical–Nearctic migration system because the majority of landbird species (i.e. passerines and near-passerines with a terrestrial life history [doves, cuckoos, nightjars, hummingbirds, and woodpeckers]) that breed in temperate North America navigate it twice a year during migratory passage to and from wintering grounds in Mexico, Central and South America, and the Caribbean. West coast–breeding Neotropical–Nearctic landbird species rarely navigate the GOM, but eastern- and central-breeding species primarily navigate the GOM region during migration (Rappole 1995, Newton 2008, La Sorte et al. 2014). Additionally, many eastern species have breeding ranges that extend west across the boreal forest, and these western continental populations also move east to navigate the GOM region during migration (Ruegg and Smith 2002, Ruegg et al. 2006, Delmore et al. 2012). Before and after traveling across or around the GOM, billions of landbirds congregate on the barrier islands and in the marshes, scrub, coastal forests, and forested wetlands of the GOM coast from southern Texas to the Florida Keys in the United States, Tamaulipas to Quintana Roo in Mexico, and around western Cuba every spring and fall. These GOM coastal habitats provide critical resources before and after the nonstop flight across the GOM (Moore 1999).

Coastal ecosystems are among the world's most biodiverse, supporting an incredible and dynamic assembly of species. Yet, they are increasingly being altered by natural and anthropogenic stressors including climate change (e.g., increased frequency of severe weather events and sea level rise), pollution (e.g., oil spills, heavy metals, and pesticides), disrupted hydrology (e.g., dams, levees, and canals), and habitat destruction or degradation from human activities (e.g., urban development and commercial harvesting; Abdollahi et al. 2005, Stedman and Dahl 2008, Henkel et al. 2012, Carter et al. 2014). The human population along the GOM coast in the United States has increased at a rate more than double the national average, while wetland habitats are being lost faster here than anywhere else in the United States (Partnership for Gulf Coast Land Conservation 2014). In Mexico, the Yucatan Peninsula is among the world's most vulnerable regions to climate-induced changes, with the expectation that current drying trends will continue (Torrescano-Valle and Folan 2015). Although these changes have largely unknown consequences for the billions of birds that rely on habitats around the GOM coast during migration, it is possible that these changes are contributing to bird population declines.

Analyses of available long-term datasets have revealed population declines in many Nearctic–Neotropical migratory species over the last 40 yr (North American Bird and Conservation Initiative Canada 2012). Although the causes of declines are hard to identify (Wilcove and Wikelski 2008, Rappole 2013), research has predominantly focused on the breeding phase of the annual cycle, overlooking the importance of events during nonbreeding periods, and especially during migration (Marra et al. 2005). Yet, the habitat loss and degradation that affect Nearctic–Neotropical migratory landbirds during breeding and winter residency must also affect them during migration (Moore et al. 1995, 2005, Mehlman et al. 2005, Ewert et al. 2015). The rapid landscape and habitat changes occurring in coastal areas may disproportionately affect species that are dependent on coasts for emergencies or refueling before long sustained flights. That said, we know little, for example, about the distribution and spatial extent of human development in relation to the airspace corridors and stopover habitats used by migrating birds, nor do we understand when and where species or populations move through the GOM coast region. It is now increasingly possible to fill these information gaps with gulf-wide analyses of citizen science (eBird;, weather surveillance radar, tracking, stable isotope, and genetic data to understand the role of habitats along the GOM coast in migratory bird population trends across North America (Figure 1).


Billions of intercontinental migratory landbirds travel through the Gulf of Mexico region every spring (arrows) and fall (not shown), where their distribution in stopover and airspace habitat is detected remotely by weather surveillance radar (circles with inset symbol). In stopover habitat, their migratory behaviors are sampled by mist-netting and banding to measure physiological condition and stopover duration, and migratory connectivity is measured by collection of tissues and attachment of tracking devices (inset image). Artwork by Abby McBride


If we are to understand how events encountered during migration through the GOM region are contributing to declines among Nearctic–Neotropical migrant species, we must identify the spatial and temporal distributions of species and populations, determine how migrants are affected by natural and anthropogenic events (e.g., hurricanes and oil spills) and habitats encountered during passage, and ultimately quantify the magnitude of those impacts on population trends. To that end, here we assess the state of the science for landbird migrants around the GOM region, including data needs that address: (1) the distribution, timing, and habitat associations of species; (2) habitat characteristics and quality; (3) migratory connectivity of populations; and (4) threats to and current conservation status of airspace corridors and stopover habitats. Further, Nearctic–Neotropical migratory birds are an internationally shared resource, the movements of which directly link habitats across the Northern and Southern hemispheres. Thus, we conclude with a call for the development of unified and comprehensive long-term monitoring guidelines and international partnerships to advance our understanding of the role of habitats around the GOM in population trends of migratory landbirds moving between North America and Central and South America and the Caribbean.

Distribution, Timing, and Habitat Associations

Perhaps the most fundamental information needed to advance our understanding of how events in the GOM region affect Nearctic–Neotropical migratory landbird populations is where and when species occur, on land and in the air, during spring and fall migration. There is a long history of seeking information about the routes taken by migrating landbirds in the GOM region. Beginning in the late 19th century, scientists in the ornithological community began a lengthy debate about whether migrating birds traveled over (e.g., Frazar 1881, Cooke 1904, 1915, Lowery 1946) or around (e.g., Williams 1945, 1950) the GOM. By the middle of the 20th century, the application of weather surveillance radar to the study of bird migration confirmed that large numbers of birds fly directly over the GOM (e.g., Hailman 1962, Gauthreaux 1970, 1971, Hebrard 1971). More recently, tracking of individual birds has confirmed that, although small landbirds have the capacity to fly directly between North and South America, GOM airspace figures prominently in their routes during both spring and fall migration (e.g., Bayly et al. 2013, DeLuca et al. 2015, Deppe et al. 2015, Stanley et al. 2015, Kramer et al. 2017).

Airspace is habitat that spans the interface between terrestrial and aerial domains and, although frequently overlooked, provides critical resources for migrating birds (Kunz et al. 2008, Diehl 2013). In fact, the atmosphere through which migrants fly is a structured and predictable medium that has surely been a selective force on individual success and survival. For example, migratory landbirds most often fly at times of day and at heights where travel is least costly, most rapid, and safest (Kerlinger and Moore 1989, Gauthreaux 1991). Defining airspace habitat for landbird species in the GOM requires information about their temporal and spatial bounds of movement in relation to meteorological, climatological, and geographical features. As such, it is not surprising that the study of airspace habitat has advanced with technologies for remote sensing of meteorological conditions and animal migration using weather surveillance radar (Shamoun-Baranes et al. 2010, Westbrook et al. 2014, Farnsworth et al. 2016, Kelly and Horton 2016). Nor is it surprising that airspace habitat has changed, and likely will continue to change, with the construction of communication cell towers, wind turbines, and buildings, as well as with shifting global climate patterns.

Although migratory birds ought to select altitudes that have the most supportive winds to reduce energetic costs and minimize flight time (Bruderer et al. 1995, Alerstam 2011), little is actually known about flight altitudes over the GOM. Generally, most migrants are found in the first 2,000 m above sea level (Kerlinger and Moore 1989, La Sorte et al. 2014), but it is not unusual to observe migrants flying as high as 5,000 m asl in response to atmospheric conditions (Gauthreaux 1971, Gauthreaux and Belser 1999). Gauthreaux (1991) recorded considerable day-to-day variation in altitude as migrants arrived along the GOM coast of the U.S. in spring, and migrants may increase altitude during the transition from nighttime to daytime flight as they approach the GOM coast (see Myres 1964, Larkin et al. 1979).

Regardless of actual flight altitude, prevailing atmospheric conditions at these altitudes have likely shaped when and where migrants navigate GOM airspace (e.g., Buskirk 1980, Gauthreaux 1991, La Sorte et al. 2014). Fall migration through the region often occurs when synoptic-scale weather systems (e.g., high pressure systems followed by strong cold fronts moving into the GOM) favor transgulf flights during mid-September to mid-October (Gauthreaux et al. 2005, Deppe and Rotenberry 2008, Martinez Leyva et al. 2009, La Sorte et al. 2014). The greatest densities of spring migrants consistently arrive during mid-April to early May along the western GOM coast, in Texas and Louisiana, USA (e.g., Gauthreaux and Belser 1998, 1999, Gauthreaux et al. 2006, Lafleur et al. 2016). Longitudinal passage patterns during spring vary annually and with atmospheric conditions (e.g., Gauthreaux et al. 2006, Lafleur et al. 2016). However, to date, no studies have comprehensively (1) compared airspace habitats in terms of bird density and species composition; (2) compiled migration traffic rates across the decades of available radar data; or (3) addressed intra- and inter-annual variation in airspace use during spring or fall migration. Moreover, how migrants use airspace over the GOM or along the Mexican and Cuban coasts of the GOM remains a significant research challenge given the sparsity of radar coverage. Where there are radars in Mexico and Cuba, data may not be archived or readily available for analysis.

Landbirds rarely migrate nonstop from origin to destination; rather, they stop over periodically for a few hours to a few days between flights (Newton 2007). In fact, the majority of the migration period is spent at stopover sites between flights (Hedenström and Alerstam 1997, Alerstam 2003), and where a migrant stops to rest and replenish fuel stores along the GOM coast is a hierarchical process influenced by endogenous and exogenous conditions (Buler et al. 2007). As migrants approach the U.S. coast at the end of a flight across the GOM, physiological stress (Moore et al. 1990, Kuenzi et al. 1991, Spengler et al. 1995) or severe weather (Lowery 1946, Gauthreaux 1971) may constrain their choice of where to land. These intrinsic and extrinsic constraints may influence how far inland birds travel before making landfall and can produce strong coastal concentrations of migrants. For example, adverse weather (e.g., widespread heavy rain and strong opposing winds) causes migrants to “fall out” in substantial numbers on barrier islands (Moore et al. 1990, Kuenzi et al. 1991) and in inland habitats (Gauthreaux 1971). These mass coastal fallouts of migrants typically occur with movements of air masses across the GOM, particularly frontal boundaries between air masses (e.g., Rappole and Ramos 1994, Russell 2005). Transgulf migrants facing adverse weather conditions often land on the first dry ground that they encounter, resulting in coastal concentrations that have been best documented in Mississippi, Alabama, and the panhandle of Florida, USA (Buler and Moore 2011, Lafleur et al. 2016), and on the northern Yucatan Peninsula, Mexico (Solomon 2016). In eastern Texas and southwestern Louisiana, migrants may also often pass over the inhospitable coastal marshes to land in forested landscapes farther inland (Gauthreaux 1971, Gauthreaux and Belser 1998).

Because passerine birds are, in general, less efficient flyers than other bird taxa (Hedenström and Alerstam 1992, Ward et al. 2001, Rayner and Maybury 2003), they may be under greater pressure to minimize the distance traveled when crossing the GOM by departing from and arriving on the immediate coast. Among landbirds, smaller-bodied species appear more constrained to landing closer to the coast than larger species during both spring and fall migration (Buler et al. 2007). During fall migration, the same coastal effect is true for young birds, which are disproportionately abundant in coastal areas, while adult birds are more abundant in inland areas (Woodrey and Moore 1997).

Although wind patterns and proximity to the coast influence the distribution of migrants among landscapes of the GOM coast, bird densities in the United States during spring migration are also positively correlated with the amount of hardwood forest cover (Buler and Moore 2011, Lafleur et al. 2016). The composition of the landscape may serve as a cue that allows migrants to assess landscape quality prior to landing (Chernetsov 2006, Buler et al. 2007). For example, landscapes with a greater amount of forest cover are associated with greater food availability (Buler et al. 2007) and faster refueling rates of migrants (Ktitorov et al. 2008, Cohen et al. 2014). Tall and structurally diverse forested landscapes may support greater numbers of migratory landbirds than unforested landscapes (Petit 2000, Rodewald and Matthews 2005). After landfall, habitat selection within a landscape is influenced by intrinsic habitat factors (Aborn and Moore 1997, Chernetsov 2005, Seewagen et al. 2010, Cohen et al. 2012), including food abundance, physiognomy, and floristics, which become important for determining habitat use patterns of migrants (Hutto 1985, Petit 2000, Chernetsov 2006, Buler et al. 2007, Cohen et al. 2014). For example, migrants arriving at the Yucatan Peninsula concentrate in mangroves, scrub forests, and coastal dunes, and refine habitat use within these vegetation types based on structural and floristic attributes (Deppe and Rotenberry 2008). That said, migratory birds are capable of using a variety of environments throughout their annual cycles, and habitat use during migration is highly variable both within and among species (e.g., Bairlein 1983, Petit 2000). Migrants occur in more diverse landscapes during migration than during stationary phases of the annual cycle, which not is surprising given the greater diversity of environments encountered en route (Zuckerberg et al. 2016). This observed variability may represent adaptive behavioral and physiological plasticity that permits migrants to successfully occupy a diverse array of habitat types as well as respond to novel circumstances during migration (Martin and Karr 1990).

Radar mapping studies have also revealed high-density use of forests in human-dominated landscapes, particularly urban parks within large cities in areas outside the GOM coast region (Bonter et al. 2009, Buler and Dawson 2014), and citizen science data corroborate this affinity of migrants with human-dominated landscapes across the United States (La Sorte et al. 2014, Zuckerberg et al. 2016), which may be influenced by attraction to anthropogenic light (Watson et al. 2016). Similarly, field surveys in Veracruz, Mexico, have documented high use of forest patches in highly fragmented, agriculturally dominated landscapes (Ruelas Inzunza et al. 2000) and in urban parks (González-García et al. 2014). Therefore, although migrating birds often congregate during stopover in hardwood forest, habitat patches embedded in urban or agricultural landscapes may also be important stopover sites (e.g., Seewagen and Slayton 2008, Seewagen et al. 2010).

In general, knowledge about the distribution and habitat requirements of migrants along the Mexican and Caribbean coasts of the GOM lags behind that of our knowledge for the United States Gulf Coast, and is based primarily on brief inventories (e.g., MacKinnon and Aburto 2003, Estrada and Coates-Estrada 2005) and observational records (i.e. eBird). However, a handful of studies in Mexico (González-García et al. 2014) and Cuba (González-Alonso et al. 2006) have identified regionally important stopover sites and documented the importance of successional vegetation (Winker 1995a), forest patches in agricultural landscapes (Ruelas Inzunza et al. 2005, Deppe and Rotenberry 2008), and small natural areas embedded in coastal urban centers (Raymundo Sanchez 2010). Whereas sparse spatiotemporal sampling has left significant gaps in our understanding of migrant distributions and habitat affiliations, analyses of gulf-wide radar and eBird data have the potential to provide much of this missing information.

Habitat Characteristics and Quality

Assessments of how and when events in the GOM region affect population dynamics require an additional understanding of the survival and condition of migrants within stopover sites. Whether a given stopover site meets the needs of Nearctic–Neotropical migrant landbirds depends on their nutritional requirements and the distribution, quality, and quantity of resources at the stopover site. Here we consider the individual migrant's ability to successfully refuel at a stopover site in relation to the availability of resources, and describe how energy-based models could be used to quantify the habitat quality of landscapes around the GOM coast.

Important biotic variables that determine the suitability of stopover habitats include (1) the intensity of competition for food resources, (2) shelter provided from predators, and (3) the type, abundance, and spatial distribution of food resources (Cohen et al. 2012). Landbird densities at stopover sites often far exceed the highest densities reached during the breeding or wintering periods of the annual cycle (Moore et al. 1993). Therefore, although rarely studied, food-based competition is expected at stopover sites when high densities of migrants are refueling during migration. For example, Moore and Yong (1991) found that the density of potential competitors negatively affected fuel deposition rates during stopover on the GOM coast. Further, the selection of habitat at inland stopover sites has been positively related to the abundance of arthropods (Graber and Graber 1983, Hutto 1985, Cohen et al. 2012), thereby potentially increasing competition for food resources.

Predation risk also alters habitat quality during stopover. Coastlines often concentrate raptors during their migrations (Kerlinger and Moore 1989), and several species of raptor that migrate around the GOM occur frequently in coastal habitats (e.g., Aborn 1994, Woltmann 2001). This may increase the conflict between meeting energetic demands and predator avoidance. For example, Blue-gray Gnatcatchers (Polioptila caerulea) have been found to move deeper into cover and away from food resources as the risk of hawk predation increases (Cimprich et al. 2005). Lean birds also take greater risks of exposure to predators to satisfy energetic demands than birds with fuel reserves (Cimprich and Moore 2006). In many situations, the energetic cost of avoiding predation may outweigh the energetic benefit of foraging in a habitat possessing high-quality food, such as a coastal thicket with fruiting shrubs (Mudrzynski and Norment 2013, Smith and McWilliams 2015), so that habitats with lower-quality food but little or no predation may be preferred.

Arguably the most important constraint during migration is finding sufficient resources to meet energetic demands (McWilliams et al. 2004, McGrath et al. 2009, Cohen et al. 2014). Many landbirds are known to change their diets to high-energy foods during migration, including fruits and nectar, which may also satisfy their protein requirements during migration even though the protein content of these foods is relatively low (Langlois and McWilliams 2010). In northern latitudes, birds that are predominantly insectivorous during the breeding season change their diets to eat more fruit during fall migration (Parrish 1997). Along the Gulf Coast of Louisiana and Texas, Barrow et al. (2000) found that 44% of migrant species consumed fruit during spring and only 24% of species consumed fruit during fall, although more recent studies suggest that frugivory of landbirds during fall migration along the GOM coast may be more common (F. Moore personal observation). For example, some fall migrants that stop on small islands off the northern coast of the Yucatan Peninsula gain mass by foraging on fruit that is abundant in coastal scrub (Solomon 2016). An improved understanding of the plant species that migrants forage on and their role in satisfying the energetic requirements of migration is needed for creating guidelines for the management and restoration of habitats in the GOM coast region (Martinez Leyva et al. 2009, Wood et al. 2012).

Habitat quality in the form of food resources is difficult to quantify when it is measured at a landscape scale. In the vicinity of the GOM, the density of migrants within hardwood forest patches is positively associated with arthropod and fruit abundance (Buler et al. 2007), and migrants have higher fuel deposition rates in landscapes with more hardwood forest cover (Cohen et al. 2014). In habitat containing sparse and spatially restricted food resources, migrants forage locally where food is abundant, whereas in habitat with more broadly abundant food resources, migrants are less restricted in their foraging movements (Cohen et al. 2012). Sites may also vary in function and quality between spring and fall migration (Winker 1995b, Shaw and Winker 2011). Bioenergetic models are a tool for measuring the relationship between food resources and bird fitness to quantify the quality of stopover habitat and its carrying capacity for migratory birds (e.g., Williams et al. 2014).

Bioenergetic models integrate information about the basic energetic requirements of birds with estimates of the energy available on the landscape. Although they have not yet been applied to landbird migrant habitat around the GOM coast, we outline the potential of these models for integrating available information about the energetic condition of migrants with habitat characteristics to quantify habitat quality. Energy-based habitat models require information about the daily energetic requirements of birds (e.g., the sum of energy required for maintenance and activity; King 1973, McKinney and McWilliams 2005, Servello et al. 2005, Williams et al. 2014). Wikelski et al. (2003) provide one of the few direct estimates of daily energetic requirements of actively migrating landbirds, for Catharus species migrating north through the Great Lakes region. They estimated that 30-g thrushes expended 133 kJ per day on days that included a migratory flight (an average of 4.6 hr of flying on a given night) and ∼88 kJ per day on stopover days without a migratory flight. These direct estimates of daily energetic requirements for freely migrating thrushes confirm that information about daily fat accumulation can be used to quantify the energetic value of a habitat for migrating landbirds. Further, estimates of daily energetic requirements for one individual can be extrapolated to reflect the numbers of individuals using a habitat, thereby estimating the amount of that habitat needed to support a target number of individuals within a landscape. Such models have been used widely and successfully for migratory waterbirds (Williams et al. 2014) and should be useful for population-based habitat assessments along the GOM coast. We recommend that managers use local sampling to measure the condition of birds and the availability of resources in habitats to build and assess landscape-scale models. These models can be used with an adaptive management approach to ensure adequate resources for migrating landbirds.

Migratory Connectivity

Understanding how events during migration affect population dynamics requires information not only about where species occur, but also when and where populations occur and how they are connected to other phases of the annual cycle, i.e. en route migratory connectivity (Webster et al. 2002). Events that migrating birds encounter along the GOM coast may either affect populations during migration or carryover to affect them during subsequent phases of the annual cycle (e.g., Paxton and Moore 2015, Hewson et al. 2016, Sorensen et al. 2016). Furthermore, events along the GOM coast are unlikely to have an equal influence on all populations of Nearctic–Neotropical migratory species that move through the region (Henkel et al. 2012). For these reasons, measuring the impacts of events encountered during migration requires information that links stopover and airspace habitats with specific breeding and wintering populations (Runge et al. 2014).

En route migratory connectivity to breeding and wintering areas has both a spatial and a temporal component, and an understanding of both is needed to appreciate the potential impacts and carryover effects of stopover and airspace habitats on the survival, timing, and condition of migrating populations. With the exception of a few sites and species, the spatial and temporal patterns of migratory connectivity through the GOM coast region are poorly understood. However, tracking between breeding and wintering areas has revealed that, during spring migration, Ovenbirds (Seiurus aurocapilla) that winter in Mexico and Central America and breed in western North America move across, or sometimes around, the GOM, while those that winter in the Caribbean and breed in northeastern North America migrate along the Atlantic coast of Florida (Hallworth et al. 2015). It is not clear whether western-breeding populations of Ovenbirds differentiate where they cross the GOM (Hallworth et al. 2015). Wood Thrushes (Hylocichla mustelina) that winter in Mexico and Central America migrate across, and sometimes around, the GOM in spring, primarily taking a route into the Mississippi River delta of Louisiana and into eastern Texas (Stanley et al. 2015). During fall migration, Wood Thrushes cross the GOM and pass farther east, from Florida to Louisiana (Stanley et al. 2015). In both spring and fall, Wood Thrush passage longitudes through the GOM coast region are positively correlated with breeding longitudes (Stanley et al. 2015). During spring migration, Eastern Kingbirds (Tyrannus tyrannus) tracked from Oklahoma and Nebraska, USA, crossed the GOM through the mid-Texas coast, with one bird migrating through the Florida and Alabama border (Jahn et al. 2013). Eastern-, central-, and western-breeding populations of Golden-winged Warbler (Vermivora chrysoptera) all navigate the GOM region, with spatial differentiation among populations during fall but not spring migration (Kramer et al. 2017). Inland and coastal subspecies of Swainson's Thrush (Catharus ustulatus) use divergent migration routes, with only the inland subspecies crossing (during fall) or circumventing (during spring) the GOM (Delmore et al. 2012). Little information is available about the consistency of passage routes or timing, other than for 10 Wood Thrushes tracked for 2 yr, which showed substantial annual variability in migration routes across the GOM (Stanley et al. 2012). Information about en route migratory connectivity patterns through the GOM coast region derived from tracking data has been limited by small sample sizes of few species and incomplete sampling across the range. Therefore, multisite and multiyear studies are necessary to understand population-specific airspace and stopover habitat use throughout the GOM region.

There is evidence for temporal patterns of migratory connectivity from stable isotopes in the tissues of birds captured on the GOM coast: Analysis of stable isotopes in tissues of migrating birds captured at stopover sites on the GOM coast has revealed spatial patterns of migratory connectivity and carryover effects of winter habitat quality. Populations of 5 forest-breeding migrants, the Acadian Flycatcher (Empidonax virescens), Ovenbird, Black-and-white Warbler (Mniotilta varia), Hooded Warbler (Setophaga citrina), and American Redstart (Setophaga ruticilla), from the southeastern United States to the Canadian boreal forests moved through a single spring stopover site in eastern Louisiana, with southern-breeding populations passing through the site earlier than northern-breeding populations for all species except the Acadian Flycatcher (Langin et al. 2009). Additionally, passage timing to spring stopover on the northern coast of the GOM was later for Black-and-white Warblers from poorer quality winter habitat (Paxton and Moore 2015). In contrast, Wood Thrush energetic condition during winter did not influence spring passage timing across the GOM, suggesting that this species compensates for the effects of winter habitat quality during spring migration (McKinnon et al. 2015). Two long-term analyses of spring passage phenology suggest that migrant timing and condition may be influenced by both long-term climate change and extreme global weather events. Species that winter in Central America, but not South America, have delayed the timing of their spring migration across the GOM over the past 20 yr (Cohen et al. 2015), while species that winter in South America, but not Central America, arrive in poorer condition during El Niño years (Paxton et al. 2014). These studies were not population-specific, but suggest that carryover effects from winter into spring migration may be common. Analyses of stable isotopes in tissues of migrating birds captured at stopover sites on the GOM coast have the potential to provide considerable information about spatial and temporal patterns of en route migratory connectivity with breeding latitudes. Toward this end, we recommend that migration banding stations on the GOM coast use common protocols, including tissue collection from as many species as possible, for future analyses of migratory connectivity.

Knowledge of migratory connectivity is essential to understand the role of the GOM coast on the population dynamics of Nearctic–Neotropical migratory species, as well as to assess the potential impacts of future conservation investments (Sheehy et al. 2011, Henkel et al. 2012). Advancing tracking technologies and stable isotope and genomics analyses (Rushing et al. 2014, Hallworth and Marra 2015, Ruegg et al. 2016) are making it increasingly possible to understand full life cycle migratory connectivity, and measures of population-specific distributions around the GOM can be paired with information about the distribution of threats and habitats to assess the impacts on specific populations.

Current Conservation Status and Threats Faced by GOM Habitats

In addition to knowledge of where migratory species occur, their survival and condition in those areas, and how populations are linked to other phases of the annual cycle, a thorough understanding of the influence of events around the GOM region on migrant populations requires information about current and future threats to habitats. Coastal ecosystems are changing dramatically, and factors associated with the impacts of coastal development threaten migratory landbird habitats. The most obvious of these factors is direct habitat loss from clearing of forest and scrubland, filling of wetlands, dredging, and hardening of shorelines. In particular, urban development along coastlines can be greater than in inland areas (Buler and Moore 2011) and may lead to increased exposure of migrants to anthropogenic sources of mortality, including collisions with human-made structures and vehicles, pesticides, and cat predation (Loss et al. 2015). Habitat degradation may occur with forest cutting and fragmentation, increases in predators or competitors attracted to human communities, and introduction of invasive species (Buler and Moore 2011). Global climate change will also alter the character of coastal ecosystems and affect habitat availability and quality for migratory landbirds. For example, protected areas on the northern coast of the Yucatan Peninsula are predicted to switch from subtropical dry forest to subtropical thorn woodland or tropical dry forest if CO2 concentrations double in the atmosphere (Villers-Rúz and Trejo-Vázquez 1998). Finally, tall structures such as communication cell towers and wind turbines effectively decrease the permeability of the lower altitudes of airspace that migratory birds move through, leading to increased mortality (Loss et al. 2013, 2014a, 2014b). These changes can have either direct or indirect effects on the demography of migratory landbirds. The direct consequence is increased mortality, while indirect consequences are more subtle and influence demographic parameters in the future by reducing the probability of survival or reproduction (e.g., Marra et al. 1998, Smith and Moore 2003, 2005). Land managers and conservation planners need to know whether these factors are changing or have changed in ways that shift population limits.

The only region-wide synthesis of the conservation status of stopover sites thought to be important for Nearctic–Neotropical migratory birds in the United States and Mexico is based on expert opinion (Duncan et al. 2002). This analysis found that only 23% of identified stopover sites in the United States and 19% in Mexico had some level of protection (Duncan et al. 2002). Therefore, >75% of the stopover sites hypothesized to be important remain unprotected in the United States and Mexico, indicating that more conservation effort needs to be dedicated to this region. For example, only 3% of the estimated 2,107 ha of forested chenier habitat (coastal hardwoods on relict beach ridges in southwestern Lousiana), known to be an important spring stopover area for migrant birds in Louisiana (Moore 1999, Barrow et al. 2005), is protected by a conservation entity (M. Parr personal communication). Although Cuba was not analyzed in this synthesis, some stopover sites known to have a high abundance and richness of migratory birds (e.g., Península de Guanahacabibes, Cayo Santa María, Cayo Coco; González-Alonso et al. 2006) are located in protected areas (Sykes et al. 2007). In addition to protected conservation status, management of stopover sites is needed to maintain long-term value, though this topic has seldom been directly addressed (Moore et al. 1993, Barrow et al. 2005). Of the 2.3 million ha of identified stopover sites in the United States that are under some level of protection, only 33% is managed for biodiversity, suggesting that more work will be needed to maintain even protected sites as suitable habitat (Duncan et al. 2002). The need for management is especially essential given the current and potential threats to these sites from invasive species and increased storm frequency (e.g., Barrow et al. 2007). An analysis of the conservation status of stopover sites identified to be important through gulf-wide synthesis of migrant distributions and habitat quality is necessary, as is increased information about the conservation and management status of sites in Cuba.

Brenner et al. (2016) conducted a threats analysis that incorporated the loss of wetlands, forests, and mangroves, and the distribution of urban and suburban areas, roads, tall structures, wind turbines, and electrical lines, and found that these threats were broadly distributed across the GOM region but were particularly concentrated on the Florida peninsula. We mapped the GOM region using an available human footprint dataset that combines population density, urbanization, roads, railroads, navigable rivers, coastlines, land use, and nighttime light to quantify the level of threat to migrating birds from human population growth and development ( The footprint map suggested that the stopover sites hypothesized to be important in the United States had only a slightly higher human footprint than the rest of the U.S. GOM coast, while in Mexico, stopover sites considered to be important had a lower human footprint than the rest of the Mexican GOM coast (Figure 2). The Columbia Bottomlands in Texas and the central Veracruz region in Mexico, in particular, are relatively highly developed with few protected areas (Figure 2). Moreover, threats to birds, including the illegal capture and trade of some migratory species in Mexico and Cuba, can be a significant source of mortality and must also be considered (Sykes et al. 2007, Garrido and Kirkconnell 2011). We urgently need a comprehensive, high-resolution, gulf-wide analysis of the distribution of threats and mortality rates specific to migratory landbirds.


Human footprint analysis of population density, urbanization, roads, railroads, navigable rivers, coastlines, land use, and nighttime light to quantify the level of threat to migrating birds from human population growth and development ( around the coast of the Gulf of Mexico shows that the threat level ranges from green (low to no threat) through yellow and orange to red (high threat). The Columbia Bottomlands in Texas, USA, and the Central Veracruz region in Mexico, in particular, are relatively highly developed with few protected areas.


A Call for Coordinated Monitoring

A comprehensive, standardized, and collaborative gulf-wide monitoring program for migratory birds is needed to provide baseline information about landbird populations in the GOM region to inform long-term conservation planning. Region-wide monitoring is the best means to measure the impacts on migrating landbird populations of ecosystem stressors such as urban development, oil spills, hurricanes, and sea level rise, as well as the intended and unintended effects of the many current and planned conservation and restoration investments around the coast of the GOM. At best, the current approach of localized and uncoordinated efforts for monitoring provides an incomplete picture of bird abundance and response to management; at worst, these data misrepresent or overestimate the value of specific management and restoration practices (Braun et al. 1978, Strassmann 1987, Meretsky et al. 2006).

Monitoring is often the most discussed but least implemented element of a conservation project or management plan (Arnett and Sallabanks 1998). Consequently, the ability of natural resource management agencies and the bird conservation community to manage resources is severely compromised (Lindenmayer and Likens 2009, McDonald-Madden et al. 2010, Williams 2011). To address this issue, the Gulf of Mexico Avian Monitoring Network (GoMAMN) has utilized a structured decision-making process (Keeney 2009) to identify and agree upon fundamental objectives that maximize the relevance, scientific rigor, and integration of monitoring efforts across agencies and organizations. Specifically, GoMAMN has suggested that relevant monitoring efforts should focus on (1) establishing reliable estimates of population size and trends; (2) evaluating the effectiveness of habitat restoration and management efforts for restoring avian populations and their habitats; and (3) understanding how ecological processes affect birds and their habitats (Wilson 2015; GoMAMN provides a forum within which conservation partners can collaborate and implement a coordinated monitoring framework that recognizes and builds on established monitoring programs. This monitoring framework will connect, leverage, and integrate existing efforts into a comprehensive avian monitoring program to address contemporary and long-term conservation needs of avian populations and their habitats within the GOM region.

Nearctic–Neotropical migratory birds are an internationally shared resource. Even if it were possible to conserve and manage all stopover habitats on the GOM coast of the United States, migratory birds would be unlikely to benefit without comparable efforts in Mexico and Cuba (e.g., Ruelas Inzunza et al. 2005, González-Alonso et al. 2006, Deppe and Rotenberry 2008). Therefore, understanding the population dynamics of migratory birds requires the adoption of a truly collaborative, multinational approach (Boom 2012). Traditionally, the amicable relationship between Mexico and the United States has facilitated the development of collaborations and opportunities for applying many U.S.-based research funds to projects based in Mexico. For example, the U.S. Fish and Wildlife Service Neotropical Migratory Bird Conservation Act and North American Wetlands Conservation Act grants allow funds to be directed toward (1) research and monitoring, (2) capacity building, (3) land protection, restoration, and management, and (4) infrastructure development in Mexico. There are many experts studying migratory birds in Cuba (González-Alonso et al. 1992), and Mexican resource management agencies such as the Secretary of the Environment and Natural Resources (Secretaría de Medio Ambiente y Recursos Naturales) and National Council of Science and Technology (Consejo Nacional de Ciencia y Tecnología) provide funding opportunities to coordinate with Cuban researchers. With recent political changes, the potential for United States–Cuba collaboration is poised to expand (Boom 2012). Workshops jointly led by Cuban, Mexican, and U.S. researchers have not only proven to be a successful way to standardize methods and share expertise, but have also served as a way to motivate participants to pursue research on migratory birds (González-Alonso et al. 1992). Future GoMAMN workshops focused on international scientific exchange would help to advance international gulf-wide monitoring and collaboration.

Future Research and Monitoring Needs

Comprehensive information about the distributions of migratory species and their populations, habitat quality, and threats will not be trivial to collect or synthesize given the seasonal and annual variability of landbird migration through the GOM region. Yet this information is essential to understand the role of GOM coast habitats in declining migratory landbird population trends and to predict the impacts of future changes. Fortunately, many of the logistical, technological, and analytical constraints on the collection and utilization of these data no longer exist. Until recently, detection of migrants was limited to scattered field studies that primarily characterized local distribution patterns and to a handful of tracking studies that characterized the migratory behaviors of species large enough to carry devices. Today, advances in technology permit a number of new and innovative means to advance our understanding of how landbirds utilize the GOM: (1) weather surveillance radar is a tool for region-wide mapping of the distribution of landbird species in stopover and airspace habitat (e.g., Buler and Dawson 2014, Farnsworth et al. 2016, Horton et al. 2016, Lafleur et al. 2016); (2) archival tracking devices are light enough to follow the migratory behaviors of small birds (Hallworth and Marra 2015); (3) automated radio-telemetry arrays are a tool for detecting the passage locations of migrants tagged on breeding or wintering ranges (e.g., Taylor et al. 2011, Deppe et al. 2015); (4) stable isotopes in tissues and genetics are a means of assigning migrating individuals to destination populations (e.g., Langin et al. 2009, Rushing et al. 2014, Ruegg et al. 2016); and (5) citizen science data (e.g., eBird) are increasingly available for mapping regional distributions, timing, and habitat affiliations of many species (La Sorte et al. 2014, Zuckerberg et al. 2016). Concurrent with the emergence of these new technologies to study and understand migratory birds around the GOM region, a new integrated and coordinated network of scientists and land managers is providing a forum within which to collaborate and communicate information for the implementation of unified, increasingly multinational bird monitoring efforts. We now have the opportunity not only to understand the role of the GOM region in the demography of migratory birds, but also to provide this essential science to inform conservation strategies and educate decision-makers, managers, landowners, and the public sector about the billions of migratory birds that move through and across the barrier islands, beaches, marshes, open water, and airspace habitats of the GOM region and are one of the Western Hemisphere's greatest living resources.

We emphasize these key research and monitoring needs for intercontinental landbird migrants in the GOM region during spring and fall:

  • (1)  Comprehensive analysis of weather surveillance radar data to identify and characterize stopover habitat hotspots, including their consistency of use over time and in relation to anthropogenic and natural changes;

  • (2)  Comprehensive analysis of weather surveillance radar data to identify airspace corridors, their characteristics in relation to meteorology and climatology, and their consistency of use over time and in relation to anthropogenicand natural changes;

  • (3)  Analysis of eBird data to map species-specific distributions, timing, and landscape associations;

  • (4)  Comprehensive monitoring (e.g., visual, banding, acoustic) on oil platforms to measure distribution, abundance, and mortality during passage over the GOM;

  • (5)  Comprehensive monitoring at a network of long-term, coordinated coastal banding sites to collect tissues and measure species-specific passage phenology over time and the condition of migrants in relation to competition, predation pressure, and food resources;

  • (6)  Analysis of stable isotopes in tissues collected from migrating birds captured at stopover sites to measure species-specific patterns of spatial and temporal en route migratory connectivity with breeding latitudes;

  • (7)  Comprehensive installation of tracking towers and tagging of many species to measure migratory connectivity across and around the GOM and movements of populations relative to habitat quality and conservation and restoration investments;

  • (8)  Field studies of plant and insect food for migrants, energetic value of these foods for migrants, and how restoration can enhance these resources;

  • (9)  Development of energy-based models to measure landscape-scale stopover habitat quality for use in adaptive management;

  • (10)  Field and radar studies to measure attraction and understand the potentially detrimental role of artificial light at night in urban landscapes and on oil platforms;

  • (11)  Comprehensive, high-resolution analysis of the spatial distribution of risk and mortality attributed to buildings, vehicles, pesticides, feral and domestic cats, illegal capture and trade, communication cell towers, and wind turbines; and

  • (12)  Increased collaboration through GoMAMN around the GOM region, including between the United States, Mexico, and Cuba, as well as the establishment of similar forums in countries where Nearctic–Neotropical migratory landbirds breed and winter (e.g., Canada, Central and South America, and the Caribbean), to identify core values and needs to enhance integrated, coordinated monitoring efforts.


The ideas in this review were developed at a symposium and round table discussion, “Synthesizing science to inform conservation of landbird migrants around the Gulf of Mexico,” at the 2016 North American Ornithological Conference in Washington, DC, USA. The theme of the conference was “Bringing science and conservation together,” and that has been our objective here. An earlier version of this manuscript was improved by comments from Hannah Clipp, Sergio A. Cabrera-Cruz, Rob Dobbs, Tim Guida, and 2 anonymous reviewers.

Funding statement: This research was supported by funding of the Southern Company through their partnership with the National Fish and Wildlife Foundation to E.B.C., J.J.B., A.F., and P.P.M., ConocoPhillips Global Signature Program in support of the Migratory Connectivity Project to P.P.M., Leon Levy Foundation and National Science Foundation (1125098) to A.F., Mississippi Agricultural and Forestry Experiment Station and National Oceanic and Atmospheric Association (NA16NOS4200088) to M.S.W., National Science Foundation (1146832), National Geographic Society (8971-11), and Comisión Nacional de Áreas Naturales Protegidas, Mexico (PROCER/CONANP/PNIC/03/2014), to J.L.D., and National Science Foundation (1147096) to F.R.M. Support for J.J.B. to attend the symposium came from the National Institute of Food and Agriculture, U.S. Department of Agriculture, and Hatch project (DEL00712). Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Agriculture, the U.S. Fish and Wildlife Service, or the U.S. Geological Survey. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. None of our funders had any influence on the content of the submitted or published manuscript. None of our funders required approval of the final manuscript to be published.

Ethics statement: This is a review paper and does not include new data.

Author contributions: E.B.C. proposed the symposium and conceived the idea for the review paper topic. All authors participated in the symposium and wrote the paper.



Abdollahi, K. K., Z. H. Ning, and M. Stubblefield (2005). Urban forest ecosystem structure and the function of the gulf coastal communities in the United States. WIT Transactions on Ecology and the Environment 81:605–614. Google Scholar


Aborn, D. A. (1994). Correlation between raptor and songbird numbers at a migratory stopover site. The Wilson Bulletin 106:150–154. Google Scholar


Aborn, D. A., and F. R. Moore (1997). Pattern of movement by Summer Tanagers (Piranga rubra) during migratory stopover: A telemetry study. Behaviour 134:1077–1100. Google Scholar


Alerstam, T. (2003). Bird migration speed. InAvian Migration ( P. Berthold, E. Gwinner, and E. Sonnenschein, Editors). Springer, Berlin and Heidelberg, Germany. pp. 253–267. Google Scholar


Alerstam, T. (2011). Optimal bird migration revisited. Journal of Ornithology 152(Suppl. 1):5–23. Google Scholar


Arnett, E. B., and R. Sallabanks (1998). Land manager perceptions of avian research and information needs: A case study. InAvian Conservation: Research and Management ( J. M. Marzluffand R. Sallabanks, Editors). Island Press, Washington, DC, USA. pp. 399–414. Google Scholar


Bairlein, F. (1983). Habitat selection and associations of species in European passerine birds during southward, post-breeding migrations. Ornis Scandinavica 14:239–245. Google Scholar


Barrow, W., Jr., P. Chadwick, B. R. Couvillion, T. Doyle, S. Faulkner, C. Jeske, T. Michot, L. Randall, C. Wells, and S. Wilson (2007). Cheniere forest as stopover habitat for migrant landbirds: Immediate effects of Hurricane Rita. InScience and the Storms—The USGS Response to the Hurricanes of 2005 ( G. S. Farris, G. J. Smith, M. P. Crane, C. R. Demas, L. L. Robbins, and D. L. Lavoie, Editors). Circular 1306, U.S. Geological Survey, Reston, VA, USA. pp. 147–156. Google Scholar


Barrow, W. C., Jr., R. B. Hamilton, M. A. Powell, and K. Ouchley (2000). Contribution of landbird migration to the biological diversity of the Northwest Gulf Coastal Plain. The Texas Journal of Science 52:151–172. Google Scholar


Barrow, W. C., Jr., L. A. Johnson Randall, M. S. Woodrey, J. Cox, E. Ruelas I., C. M. Riley, R. B. Hamilton, and C. Eberly (2005). Coastal forests of the Gulf of Mexico: A description and some thoughts on their conservation. In Bird Conservation Implementation and Integration in the Americas: Proceedings of the Third International Partners in Flight Conference ( C. J. Ralphand T. D. Rich, Editors). USDA Forest Service General Technical Report PSW-GTR-191. pp. 450–464. Google Scholar


Bayly, N. J., C. Gómez, and K. A. Hobson (2013). Energy reserves stored by migrating Gray-cheeked Thrushes Catharus minimus at a spring stopover site in northern Colombia are sufficient for a long-distance flight to North America. Ibis 155:271–283. Google Scholar


Bonter, D. N., S. A. Gauthreaux, Jr., and T. M. Donovan (2009). Characteristics of important stopover locations for migrating birds: Remote sensing with radar in the Great Lakes basin. Conservation Biology 23:440–448. Google Scholar


Boom, B. M. (2012). Biodiversity without borders: Advancing U.S.–Cuba cooperation through environmental research. Science & Diplomacy 1:Article. Google Scholar


Braun, C. E., K. W. Harmon, J. A. Jackson, and C. D. Littlefield (1978). Management of National Wildlife Refuges in the United States: Its impacts on birds. The Wilson Bulletin 90:309–321. Google Scholar


Brenner, J., C. Voight, and D. Mehlman (2016). Migratory Species in the Gulf of Mexico Large Marine Ecosystem: Pathways, Threats and Conservation. The Nature Conservancy, Arlington, VA, USA. Google Scholar


Bruderer, B., L. G. Underhill, and F. Liechti (1995). Altitude choice by night migrants in a desert area predicted by meteorological factors. Ibis 137:44–55. Google Scholar


Buler, J. J., and D. K. Dawson (2014). Radar analysis of fall bird migration stopover sites in the northeastern U.S. The Condor: Ornithological Applications 116:357–370. Google Scholar


Buler, J. J., and F. R. Moore (2011). Migrant–habitat relationships during stopover along an ecological barrier: Extrinsic constraints and conservation implications. Journal of Ornithology 152:101–112. Google Scholar


Buler, J. J., F. R. Moore, and S. Woltmann (2007). A multi-scale examination of stopover habitat use by birds. Ecology 88:1789–1802. Google Scholar


Buskirk, W. H. (1980). Influence of meteorological patterns and trans-gulf migration on the calendars of latitudinal migrants. InMigrant Birds in the Neotropics: Ecology, Behavior, and Conservation ( A. Keastand E. S. Morton, Editors). Smithsonian Institution Press, Washington, DC, USA. pp. 485–491. Google Scholar


Carter, L. M., J. W. Jones, L. Berry, V. Burkett, J. F. Murley, J. Obeysekera, P. J. Schramm, and D. Wear (2014). Southeast and the Caribbean. InClimate Change Impacts In the United States: The Third National Climate Assessment ( J. M. Melillo, T. C. Richmond, and G. W. Yohe, Editors). U.S. Global Change Research Program, Washington, DC, USA. pp. 396–417. Google Scholar


Chernetsov, N. (2005). Spatial behavior of medium and long-distance migrants at stopovers studied by radio tracking. Annals of the New York Academy of Sciences 1046:242–252. Google Scholar


Chernetsov, N. (2006). Habitat selection by nocturnal passerine migrants en route: Mechanisms and results. Journal of Ornithology 147:185–191. Google Scholar


Cimprich, D. A., and F. R. Moore (2006). Fat affects predator-avoidance behavior in Gray Catbirds (Dumetella carolinensis) during migratory stopover. The Auk 123:1069–1076. Google Scholar


Cimprich, D. A., M. S. Woodrey, and F. R. Moore (2005). Passerine migrants respond to variation in predation risk during stopover. Animal Behaviour 69:1173–1179. Google Scholar


Cohen, E. B., F. R. Moore, and R. A. Fischer (2012). Experimental evidence for the interplay of exogenous and endogenous factors on the movement ecology of a migrating songbird. PLoS ONE 7:e41818.  10.1371/journal.pone.0041818 Google Scholar


Cohen, E. B., Z. Németh, T. J. Zenzal, Jr., K. L. Paxton, R. Diehl, E. H. Paxton, and F. R. Moore (2015). Spring resource phenology and timing of songbird migration across the Gulf of Mexico. InPhenological Synchrony and Bird Migration: Changing Climate and Seasonal Resources in North America ( E. M. Woodand J. L. Kellerman, Editors). CRC Press, Boca Raton, FL, USA. pp. 63–82. Google Scholar


Cohen, E. B., S. M. Pearson, and F. R. Moore (2014). Effects of landscape composition and configuration on migrating songbirds: Inference from an individual-based model. Ecological Applications 24:169–180. Google Scholar


Cooke, W. W. (1904). Distribution and Migration of North American Warblers. USDA Division of Biological Survey Bulletin No. 18. Google Scholar


Cooke, W. W. (1915). Bird Migration. U.S. Department of Agriculture Bulletin No. 185. Google Scholar


Delmore, K. E., J. W. Fox, and D. E. Irwin (2012). Dramatic intraspecific differences in migratory routes, stopover sites and wintering areas, revealed using light-level geolocators. Proceedings of the Royal Society B 279:4582–4589. Google Scholar


DeLuca, W. V., B. K. Woodworth, C. C. Rimmer, P. P. Marra, P. D. Taylor, K. P. McFarland, S. A. Mackenzie, and D. R. Norris (2015). Transoceanic migration by a 12 g songbird. Biology Letters 11:20141045.  10.1098/rsbl.2014.1045 Google Scholar


Deppe, J. L., and J. T. Rotenberry (2008). Scale-dependent habitat use by fall migratory birds: Vegetation structure, floristics, and geography. Ecological Monographs 78:461–487. Google Scholar


Deppe, J. L., M. P. Ward, R. T. Bolus, R. H. Diehl, A. Celis-Murillo, T. J. Zenzal, Jr., F. R. Moore, T. J. Benson, J. A. Smolinsky, L. N. Schofield, D. A. Enstrom, et al. (2015). Fat, weather, and date affect migratory songbirds' departure decisions, routes, and time it takes to cross the Gulf of Mexico. Proceedings of the National Academy of Sciences USA 112:E6331–E6338.  10.1073/pnas.1503381112 Google Scholar


Diehl, R. H. (2013). The airspace is habitat. Trends in Ecology & Evolution 28:377–379. Google Scholar


Duncan, C. D., B. Able, D. Ewert, M. L. Ford, S. Mabey, D. Mehlman, P. Patterson, R. Sutter, and M. Woodrey (Compilers)(2002). Protecting Stopover Sites for Forest-Dwelling Migratory Landbirds. The Nature Conservancy, Migratory Bird Program, Portland, ME, USA(unpublished report). Google Scholar


Estrada, A., and R. Coates-Estrada (2005). Diversity of Neotropical migratory landbird species assemblages in forest fragments and man-made vegetation in Los Tuxtlas, Mexico. Biodiversity & Conservation 14:1719–1734. Google Scholar


Ewert, D., K. Hall, R. Smith, and P. Rodewald (2015). Landbird stopover in the Great Lakes region: Integrating habitat use and climate change in conservation. InPhenological Synchrony and Bird Migration: Changing Climate and Seasonal Resources in North America ( E. M. Woodand J. L. Kellerman, Editors). CRC Press, Boca Raton, FL, USA. pp. 17–46. Google Scholar


Farnsworth, A., B. M. Van Doren, W. M. Hochachka, D. Sheldon, K. Winner, J. Irvine, J. Geevarghese, and S. Kelling (2016). A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA. Ecological Applications 26:752–770. Google Scholar


Frazar, A. M. (1881). Destruction of birds by a storm while migrating. Bulletin of the Nuttall Ornithological Club 6:250–252. Google Scholar


Garrido, O. H., and A. Kirkconnell (2011). Aves de Cuba: Field Guide to the Birds of Cuba. Comstock Publishing Associates, Ithaca, NY, USA. Google Scholar


Gauthreaux, S. A., Jr. (1970). Weather radar quantification of bird migration. BioScience 20:17–19. Google Scholar


Gauthreaux, S. A., Jr. (1971). A radar and direct visual study of passerine spring migration in southern Louisiana. The Auk 88:343–365. Google Scholar


Gauthreaux, S. A., Jr. (1991). The flight behavior of migrating birds in changing wind fields: Radar and visual analyses. American Zoologist 31:187–204. Google Scholar


Gauthreaux, S. A., Jr., and C. G. Belser (1998). Displays of bird movements on the WSR-88D: Patterns and quantification. Weather and Forecasting 13:453–464. Google Scholar


Gauthreaux, S. A., Jr., and C. G. Belser (1999). Bird migration in the region of the Gulf of Mexico. InProceedings of the 22nd International Ornithological Congress ( N. Adamsand R. Slotow, Editors). BirdLife South Africa, Johannesburg, South Africa. pp. 1931–1947. Google Scholar


Gauthreaux, S. A., Jr., C. G. Belser, and C. M. Welch (2006). Atmospheric trajectories and spring bird migration across the Gulf of Mexico. Journal of Ornithology 147:317–325. Google Scholar


Gauthreaux, S. A., Jr., J. Michi, and C. Besler (2005). The temporal and spatial structure of the atmosphere and its influence on bird migration strategies. InBirds of Two Worlds: The Ecology and Evolution of Migration ( R. Greenbergand P. P. Marra, Editors). Johns Hopkins University Press, Baltimore, MD, USA. pp. 182–193. Google Scholar


González-Alonso, H., A. Llanes, B. Sánchez, D. Rodríguez, E. Pérez, and P. Blanco (2006). Características de la migración otoñal de las aves terrestres en varias regiones de Cuba. Journal of Caribbean Ornithology 19:73–90. Google Scholar


González-Alonso, H., M. K. McNicholl, P. B. Hamel, M. Acosta, E. Godinez, J. Hernandez, and D. Rodriguez (1992). A cooperative bird-banding project in Peninsula de Zapata, Cuba, 1988–1989. InEcology and Conservation of Neotropical Migrant Landbirds ( J. M. Hagan, III, and D. W. Johnston, Editors). Smithsonian Institution Press. Washington, DC, USA.pp. 131–142. Google Scholar


González-García, F., R. Straub, J. A. Lobato García, and I. MacGregor-Fors (2014). Birds of a Neotropical green city: An up-to-date review of the avifauna of the city of Xalapa with additional unpublished records. Urban Ecosystems 17:991–1012. Google Scholar


Graber, J. W., and R. R. Graber (1983). Feeding rates of warblers in spring. The Condor 85:139–150. Google Scholar


Hailman, J. P. (1962). Direct evidence for trans-Caribbean migratory flights of swallows and dragonflies. The American Midland Naturalist 68:430–433. Google Scholar


Hallworth, M. T., and P. P. Marra (2015). Miniaturized GPS tags identify non-breeding territories of a small breeding migratory songbird. Scientific Reports 5:11069.  10.1038/srep11069 Google Scholar


Hallworth, M. T., T. S. Sillett, S. L. Van Wilgenburg, K. A. Hobson, and P. P. Marra (2015). Migratory connectivity of a Neotropical migratory songbird revealed by archival light-level geolocators. Ecological Applications 25:336–347. Google Scholar


Hebrard, J. J. (1971). The nightly initiation of passerine migration in spring: A direct visual study. Ibis 113:8–18. Google Scholar


Hedenström, A., and T. Alerstam (1992). Climbing performance of migrating birds as a basis for estimating limits for fuel-carrying capacity and muscle work. Journal of Experimental Biology 164:19–38. Google Scholar


Hedenström, A., and T. Alerstam (1997). Optimum fuel loads in migratory birds: Distinguishing between time and energy minimization. Journal of Theoretical Biology 189:227–234. Google Scholar


Henkel, J. R., B. J. Sigel, and C. M. Taylor (2012). Large-scale impacts of the Deepwater Horizon oil spill: Can local disturbance affect distant ecosystems through migratory shorebirds?BioScience 62:676–685. Google Scholar


Hewson, C. M., K. Thorup, J. W. Pearce-Higgins, and P. W. Atkinson (2016). Population decline is linked to migration route in the Common Cuckoo. Nature Communications 7:12296.  10.1038/ncomms12296 Google Scholar


Horton, K. G., B. M. Van Doren, P. M. Stepanian, A. Farnsworth, and J. F. Kelly (2016). Where in the air? Aerial habitat use of nocturnally migrating birds. Biology Letters 12:20160591.  10.1098/rsbl.2016.0591 Google Scholar


Hutto, R. L. (1985). Seasonal changes in the habitat distribution of transient insectivorous birds in southeastern Arizona: Competition mediated?The Auk 102:120–132. Google Scholar


Jahn, A. E., V. R. Cueto, J. W. Fox, M. S. Husak, D. H. Kim, D. V. Landoll, J. P. Ledezma, H. K. LePage, D. J. Levey, M. T. Murphy, and R. B. Renfrew (2013). Migration timing and wintering areas of three species of flycatchers (Tyrannus) breeding in the Great Plains of North America. The Auk 130:247–257. Google Scholar


Keeney, R. L. (2009). Value-Focused Thinking: A Path to Creative Decisionmaking. Harvard University Press, Cambridge, MA, USA. Google Scholar


Kelly, J. F., and K. G. Horton (2016). Toward a predictive macrosystems framework for migration ecology. Global Ecology and Biogeography 25:1159–1165. Google Scholar


Kerlinger, P., and F. R. Moore (1989). Atmospheric structure and avian migration. InCurrent Ornithology, Volume 6 ( D. M. Power, Editor). Plenum Press, New York, NY, USA. pp. 109–142. Google Scholar


King, J. R. (1973). Energetics of reproduction in birds. InBreeding Biology of Birds ( D. S. Farner, Editor). National Academy of Sciences, Washington, DC, USA. pp. 78–107. Google Scholar


Kramer, G. R., H. M. Streby, S. M. Peterson, J. A. Lehman, D. A. Buehler, P. B. Wood, D. J. McNeil, J. L. Larkin, and D. E. Andersen (2017). Nonbreeding isolation and population-specific migration patterns among three populations of Golden-winged Warblers. The Condor: Ornithological Applications 119:108–121. Google Scholar


Ktitorov, P., F. Bairlein, and M. Dubinin (2008). The importance of landscape context for songbirds on migration: Body mass gain is related to habitat cover. Landscape Ecology 23:169–179. Google Scholar


Kuenzi, A. J., F. R. Moore, and T. R. Simons (1991). Stopover of Neotropical landbird migrants on East Ship Island following trans-gulf migration. The Condor 93:869–883. Google Scholar


Kunz, T. H., S. A. Gauthreaux, Jr., N. I. Hristov, J. W. Horn, G. Jones, E. K. V. Kalko, R. P. Larkin, G. F. McCracken, S. M. Swartz, R. B. Srygley, R. Dudley, et al. (2008). Aeroecology: Probing and modelling the aerosphere. Integrative and Comparative Biology 48:1–11. Google Scholar


Lafleur, J. M., J. J. Buler, and F. R. Moore (2016). Geographic position and landscape composition explain regional patterns of migrating landbird distributions during spring stopover along the northern coast of the Gulf of Mexico. Landscape Ecology 31:1697–1709. Google Scholar


Langin, K. M., P. P. Marra, Z. Németh, F. R. Moore, T. K. Kyser, and L. M. Ratcliffe (2009). Breeding latitude and timing of spring migration in songbirds crossing the Gulf of Mexico. Journal of Avian Biology 40:309–316. Google Scholar


Langlois, L. A., and S. R. McWilliams (2010). Protein requirements of an omnivorous and a granivorous songbird decrease during migration. The Auk 127:850–862. Google Scholar


Larkin, R. P., D. R. Griffin, J. R. Torre-Bueno, and J. Teal (1979). Radar observations of bird migration over the western North Atlantic Ocean. Behavioral Ecology and Sociobiology 4:225–264. Google Scholar


La Sorte, F. A., D. Fink, W. M. Hochachka, A. Farnsworth, A. D. Rodewald, K. V. Rosenberg, B. L. Sullivan, D. W. Winkler, C. Wood, and S. Kelling (2014). The role of atmospheric conditions in the seasonal dynamics of North American migration flyways. Journal of Biogeography 41:1685–1696. Google Scholar


Lindenmayer, D. B., and G. E. Likens (2009). Adaptive monitoring: A new paradigm for long-term research and monitoring. Trends in Ecology & Evolution 24:482–486. Google Scholar


Loss, S. R., T. Will, S. S. Loss, and P. P. Marra (2014a). Bird–building collisions in the United States: Estimates of annual mortality and species vulnerability. The Condor: Ornithological Applications 116:8–23. Google Scholar


Loss, S. R., T. Will, and P. P. Marra (2013). Estimates of bird collision mortality at wind facilities in the contiguous United States. Biological Conservation 168:201–209. Google Scholar


Loss, S. R., T. Will, and P. P. Marra (2014b). Refining estimates of bird collision and electrocution mortality at power lines in the United States. PLoS ONE 9:e101565.  10.1371/journal.pone.0101565 Google Scholar


Loss, S. R., T. Will, and P. P. Marra (2015). Direct mortality of birds from anthropogenic causes. Annual Review of Ecology, Evolution, and Systematics 46:99–120. Google Scholar


Lowery, G. H., Jr. (1946). Evidence of trans-gulf migration. The Auk 63:175–211. Google Scholar


MacKinnon, and J. A. Aburto (2003). Critical habitat for migratory land birds, Banco Chinchorro, Quintana Roo, Mexico. Bulletin of Marine Science 73:171–186. Google Scholar


Marra, P. P., C. M. Francis, R. S. Mulvihill, and F. R. Moore (2005). The influence of climate on the timing and rate of spring bird migration. Oecologia 142:307–315. Google Scholar


Marra, P. P., K. A. Hobson, and R. T. Holmes (1998). Linking winter and summer events in a migratory bird by using stable-carbon isotopes. Science 282:1884–1886. Google Scholar


Martin, T. E., and J. R. Karr (1990). Behavioral plasticity of foraging maneuvers of migratory warblers: Multiple selection periods for niches?InAvian Foraging: Theory, Methodology, and Applications ( M. L. Morrison, C. J. Ralph, J. Verner, and J. R. Jehl, Jr., Editors). Studies in Avian Biology 13:353–359. Google Scholar


Martinez Leyva, E., E. Ruelas Inzunza, O. Cruz, J. L. Barr, E. Peresbarbosa Rojas, I. Chávez, G. Ramón, R. Rodríguez, A. García, and N. Ferriz (2009). Dynamics of passage migration in Veracruz, Mexico. In Tundra to Tropics: Connecting Birds, Habitats and People. Proceedings of the 4th International Partners in Flight Conference (T. D. Rich, C. Arizmendi, D. W. Demarest, and C. Thompson, Editors). Partners in Flight, Washington, DC, USA. Google Scholar


McDonald-Madden, E., P. W. Baxter, R. A. Fuller, T. G. Martin, E. T. Game, J. Montambault, and H. P. Possingham (2010). Monitoring does not always count. Trends in Ecology & Evolution 25:547–550. Google Scholar


McGrath, L. J., C. Van Riper, III, and J. J. Fontaine (2009). Flower power: Tree flowering phenology as a settlement cue for migrating birds. Journal of Animal Ecology 78:22–30. Google Scholar


McKinney, R. A., and S. R. McWilliams (2005). A new model to estimate daily energy expenditure for wintering waterfowl. The Wilson Bulletin 117:44–55. Google Scholar


McKinnon, E. A., C. Q. Stanley, and B. J. M. Stutchbury (2015). Carry-over effects of nonbreeding habitat on start-to-finish spring migration performance of a songbird. PLoS ONE 10:e0141580.  10.1371/journal.pone.0141580 Google Scholar


McWilliams, S. R., C. Guglielmo, B. Pierce, and M. Klaassen (2004). Flying, fasting, and feeding in birds during migration: A nutritional and physiological ecology perspective. Journal of Avian Biology 35:377–393. Google Scholar


Mehlman, D. W., S. E. Mabey, D. N. Ewert, C. Duncan, B. Abel, D. Cimprich, R. D. Sutter, and M. Woodrey (2005). Conserving stopover sites for forest-dwelling migratory landbirds. The Auk 122:1281–1290. Google Scholar


Meretsky, V. J., R. L. Fischman, J. R. Karr, D. M. Ashe, M. J. Scott, R. F. Noss, and R. L. Schroeder (2006). New directions in conservation for the National Wildlife Refuge system. BioScience 56:135–143. Google Scholar


Moore, F. R. (1999). Neotropical migrants and the Gulf of Mexico: The cheniers of Louisiana and stopover ecology. InGatherings of Angels: Migrating Birds and their Ecology ( K. P. Able, Editor). Cornell University Press, Ithaca, NY, USA. pp. 51–62. Google Scholar


Moore, F. R., and W. Yong (1991). Evidence of food-based competition among passerine migrants during stopover. Behavioral Ecology and Sociobiology 28:85–90. Google Scholar


Moore, F. R., S. A. Gauthreaux, Jr., P. Kerlinger, and T. R. Simons (1993). Stopover habitat: Management implications and guidelines. InStatus and Management of Neotropical Migratory Birds ( D. M. Finchand P. W. Stangel, Editors). USDA Forest Service General Technical Report RM-229. pp. 58–69. Google Scholar


Moore, F. R., S. A. Gauthreaux, Jr., P. Kerlinger, T. R. Simons, T. E. Martin, and D. M. Finch (1995). Habitat requirements during migration: Important link in conservation. InEcology and Management of Neotropical Migratory Birds: A Synthesis and Review of Critical Issues ( T. E. Martinand D. M. Finch, Editors). Oxford University Press, New York, NY, USA. pp. 121–144. Google Scholar


Moore, F. R., P. Kerlinger, and T. R. Simons (1990). Stopover on a Gulf Coast barrier island by spring trans-Gulf migrants. The Wilson Bulletin 102:487–500. Google Scholar


Moore, F. R., M. S. Woodrey, J. J. Buler, S. Woltmann, and T. R. Simons (2005). Understanding the stopover of migratory birds: A scale dependent approach. InBird Conservation Implementation and Integration in the Americas: Proceedings of the Third International Partners in Flight Conference ( C. J. Ralphand T. D. Rich, Editors). USDA Forest Service General Technical Report PSW-GTR-191. pp. 684–689. Google Scholar


Mudrzynski, B. M., and C. J. Norment (2013). Influence of habitat structure and fruit availability on use of a northeastern stopover site by fall songbirds. The Wilson Journal of Ornithology 125:744–754. Google Scholar


Myres, M. T. (1964). Dawn ascent and re-orientation of Scandinavian thrushes (Turdus spp.) migrating at night over the northeastern Atlantic Ocean in autumn. Ibis 106:7–51. Google Scholar


Newton, I. (2006). Can conditions experienced during migration limit the population levels of birds?Journal of Ornithology 147:146–166. Google Scholar


Newton, I. (2007). Weather-related mass-mortality events in migrants. Ibis 149:453–467. Google Scholar


Newton, I. (2008). The Migration Ecology of Birds. Academic Press, Oxford, UK. Google Scholar


North American Bird Conservation Initiative Canada(2012). The State of Canada's Birds, 2012. Environment Canada, Ottawa, Canada. Google Scholar


Parrish, J. D. (1997). Patterns of frugivory and energetic condition in Nearctic landbirds during autumn migration. The Condor 99:681–697. Google Scholar


Partnership for Gulf Coast Land Conservation(2014). A Land Conservation Vision for the Gulf of Mexico Region: An Overview. Google Scholar


Paxton, K. L., and F. R. Moore (2015). Carry-over effects of winter habitat quality on en route timing and condition of a migratory passerine during spring migration. Journal of Avian Biology 46:495–506. Google Scholar


Paxton, K. L., E. B. Cohen, E. H. Paxton, Z. Németh, and F. R. Moore (2014). El Niño-Southern Oscillation is linked to decreased energetic condition in long-distance migrants. PLoS ONE 9:e95383.  10.1371/journal.pone.0095383 Google Scholar


Petit, D. R. (2000). Habitat use by landbirds along Nearctic-Neotropical migration routes: Implications for conservation of stopover habitats. InStopover Ecology of Nearctic-Neotropical Landbird Migrants: Habitat Relations and Conservation Implications ( F. R. Moore, Editor). Studies in Avian Biology 20:15–33. Google Scholar


Rappole, J. H. (1995). The Ecology of Migrant Birds: A Neotropical Perspective. Smithsonian Institution Scholarly Press, Washington, DC, USA. Google Scholar


Rappole, J. H. (2013). The Avian Migrant: The Biology of Bird Migration. Columbia University Press. New York, NY, USA. Google Scholar


Rappole, J. H., and M. A. Ramos (1994). Factors affecting migratory bird routes over the Gulf of Mexico. Bird Conservation International 4:251–262. Google Scholar


Raymundo Sanchez, A. A. (2010). Avian community structure and diversity in relation to coastal development in the Sian Ka'an Biosphere Reserve and Riviera Maya, Quintana Roo, Mexico. M.Sc. thesis, University of Tennessee, Knoxville, TN, USA. Google Scholar


Rayner, J. M. V., and W. J. Maybury (2003). The drag paradox: Measurements of flight performance and body drag in flying birds. InAvian Migration ( P. Berthold, E. Gwinner, and E. Sonnenschein, Editors). Springer, Berlin and Heidelberg, Germany. pp. 543–562. Google Scholar


Rockwell, S. M., J. M. Wunderle, Jr., T. S. Sillett, C. I. Bocetti, D. N. Ewert, D. Currie, J. D. White, and P. P. Marra (2017). Seasonal survival estimation for a long-distance migratory bird and the influence of winter precipitation. Oecologia 183:715–726. Google Scholar


Rodewald, P. G., and S. N. Matthews (2005). Landbird use of riparian and upland forest stopover habitats in an urban landscape. The Condor 107:259–268. Google Scholar


Ruegg, K. C., and T. B. Smith (2002). Not as the crow flies: A historical explanation for circuitous migration in Swainson's Thrush (Catharus ustulatus). Proceedings of the Royal Society B 269:1375–1381. Google Scholar


Ruegg, K. C., E. Anderson, R. J. Harrigan, K. L. Paxton, J. Kelly, F. Moore, and T. B. Smith (2016). Identifying migrant origins using genetics, isotopes, and habitat suitability. bioRxiv:085456.  10.1101/085456 Google Scholar


Ruegg, K. C., R. J. Hijmans, and C. Moritz (2006). Climate change and the origin of migratory pathways in the Swainson's Thrush, Catharus ustulatus. Journal of Biogeography 33:1172–1182. Google Scholar


Ruelas Inzunza, E., F. W. Hoffman, and L. J. Goodrich (2005). Stopover ecology of Neotropical migrants in central Veracruz, Mexico. InBird Conservation Implementation and Integration in the Americas: Proceedings of the Third International Partners in Flight Conference ( C. J. Ralphand T. D. Rich, Editors). USDA Forest Service General Technical Report PSW-GTR-191. pp. 201–217. Google Scholar


Ruelas Inzunza, E., S. W. Hoffman, L. J. Goodrich, and R. Tingay (2000). Conservation strategies for the world's largest known raptor migration flyway: Veracruz the river of raptors. InRaptors at Risk ( R. D. Chancellorand B.-U. Meyburg, Editors). World Working Group on Birds of Prey and Owls, Berlin, Germany, and Hancock House Publishers, Surrey, BC, Canada. pp. 591–596. Google Scholar


Runge, C. A., T. G. Martin, H. P. Possingham, S. G. Willis, and R. A. Fuller (2014). Conserving mobile species. Frontiers in Ecology and the Environment 12:395–402. Google Scholar


Rushing, C. S., T. B. Ryder, J. F. Saracco, and P. P. Marra (2014). Assessing migratory connectivity for a long-distance migratory bird using multiple intrinsic markers. Ecological Applications 24:445–456. Google Scholar


Russell, R. W. (Editor)(2005). Interactions between migrating birds and offshore oil and gas platforms in the northern Gulf of Mexico: Final report. OCS Study MMS 2005-009, U.S. Department of Interior, Minerals Management Service, Gulf of Mexico OCS Region, New Orleans, LA, USA. Google Scholar


Seewagen, C. L., and E. J. Slayton (2008). Mass changes of migratory landbirds during stopovers in a New York City park. The Wilson Journal of Ornithology 120:296–303. Google Scholar


Seewagen, C. L., E. J. Slayton, and C. G. Guglielmo (2010). Passerine migrant stopover duration and spatial behaviour at an urban stopover site. Acta Oecologica 36:484–492. Google Scholar


Servello, F. A., E. C. Hellgren, and S. R. McWilliams (2005). Techniques for wildlife nutritional ecology. InTechniques for Wildlife Investigations and Management, sixth edition ( C. E. Braun, Editor). The Wildlife Society, Bethesda, MD, USA.pp. 554–577. Google Scholar


Shamoun-Baranes, J., J. Leyrer, E. van Loon, P. Bocher, F. Robin, F. Meunier, and T. Piersma (2010). Stochastic atmospheric assistance and the use of emergency staging sites by migrants. Proceedings of the Royal Society B:rspb20092112.  10.1098/rspb.2009.2112 Google Scholar


Shaw, D. W., and K. Winker (2011). Spring stopover and refueling among migrant passerines in the Sierra de Los Tuxtlas, Veracruz, Mexico. The Wilson Journal of Ornithology 123:575–587. Google Scholar


Sheehy, J., C. M. Taylor, and D. R. Norris (2011). The importance of stopover habitat for developing effective conservation strategies for migratory animals. Journal of Ornithology 152:161–168. Google Scholar


Sillett, T. S., and R. T. Holmes (2002). Variation in survivorship of a migratory songbird throughout its annual cycle. Journal of Animal Ecology 71:296–308. Google Scholar


Smith, R. J., and F. R. Moore (2003). Arrival fat and reproductive performance in a long-distance passerine migrant. Oecologia 134:325–331. Google Scholar


Smith, R. J., and F. R. Moore (2005). Arrival timing and seasonal reproductive performance in a long-distance migratory landbird. Behavioral Ecology and Sociobiology 57:231–239. Google Scholar


Smith, S. B., and S. R. McWilliams (2015). Recommended Plantings for Migratory Songbird Habitat Management. Rochester Institute of Technology and University of Rhode Island, Rochester, NY, USA. Google Scholar


Solomon, L. E. (2016). Stopover ecology of Neotropical migratory songbirds in the northern Yucatan Peninsula, Mexico. M.Sc. thesis, Eastern Illinois University, Charleston, IL, USA. Google Scholar


Sorensen, M. C., G. D. Fairhurst, S. Jenni-Eiermann, J. Newton, E. Yohannes, and C. N. Spottiswoode (2016). Seasonal rainfall at long-term migratory staging sites is associated with altered carry-over effects in a Palearctic-African migratory bird. BMC Ecology 16:41.  10.1186/s12898-016-0096-6 Google Scholar


Spengler, T. J., P. L. Leberg, and W. C. Barrow, Jr. (1995). Comparison of condition indices in migratory passerines at a stopover site in coastal Louisiana. The Condor 97:438–444. Google Scholar


Stanley, C. Q., M. MacPherson, K. C. Fraser, E. A. McKinnon, and B. J. M. Stutchbury (2012). Repeat tracking of individual songbirds reveals consistent migration timing but flexibility in route. PLoS ONE 7:e40688.  10.1371/journal.pone.0040688 Google Scholar


Stanley, C. Q., E. A. McKinnon, K. C. Fraser, M. P. Macpherson, G. Casbourn, L. Friesen, P. P. Marra, C. Studds, T. B. Ryder, N. E. Diggs, and B. J. M. Stutchbury (2015). Connectivity of Wood Thrush breeding, wintering, and migration sites based on range-wide tracking. Conservation Biology 29:164–174. Google Scholar


Stedman, S., and T. E. Dahl (2008). Status and trends of wetlands in the coastal watersheds of the eastern United States 1998 to 2004. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, and U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC, USA. Google Scholar


Strassmann, B. I. (1987). Effects of cattle grazing and haying on wildlife conservation at National Wildlife Refuges in the United States. Environmental Management 11:35–44. Google Scholar


Sykes, P. W., Jr., S. Holzman, and E. E. Iñigo-Elias (2007). Current range of the eastern population of Painted Bunting (Passerina ciris)—Part II: Winter range. North American Birds 61:378–406. Google Scholar


Taylor, P. D., S. A. Mackenzie, B. G. Thurber, A. M. Calvert, A. M. Mills, L. P. McGuire, and C. G. Guglielmo (2011). Landscape movements of migratory birds and bats reveal an expanded scale of stopover. PLoS ONE 6:e27054.  10.1371/journal.pone.0027054 Google Scholar


Torrescano-Valle, N., and W. J. Folan (2015). Physical settings, environmental history with an outlook on global change. InBiodiversity and Conservation of the Yucatán Peninsula ( G. A. Islebe, S. Calmé, J. L. León-Cortés, and B. Schmook, Editors). Springer International Publishing, Switzerland.pp. 9–37. Google Scholar


Villers-Ruíz, L., and I. Trejo-Vázquez (1998). Climate change on Mexican forests and natural protected areas. Global Environmental Change 8:141–157. Google Scholar


Ward, S., U. Möller, J. M. V. Rayner, D. M. Jackson, D. Bilo, W. Nachtigall, and J. R. Speakman (2001). Metabolic power, mechanical power and efficiency during wind tunnel flight by the European Starling Sturnus vulgaris. Journal of Experimental Biology 204:3311–3322. Google Scholar


Watson, M. J., D. R. Wilson, and D. J. Mennill (2016). Anthropogenic light is associated with increased vocal activity by nocturnally migrating birds. The Condor: Ornithological Applications 118:338–344. Google Scholar


Webster, M. S., P. P. Marra, S. M. Haig, S. Bensch, and R. T. Holmes (2002). Links between worlds: Unraveling migratory connectivity. Trends in Ecology & Evolution 17:76–83. Google Scholar


Westbrook, J. K., R. S. Eyster, and W. W. Wolf (2014). WSR-88D doppler radar detection of corn earworm moth migration. International Journal of Biometeorology 58:931–940. Google Scholar


Wikelski, M., E. M. Tarlow, A. Raim, R. H. Diehl, R. P. Larkin, and G. H. Visser (2003). Avian metabolism: Costs of migration in free-flying songbirds. Nature 423:704. Google Scholar


Wilcove, D. S., and M. Wikelski (2008). Going, going, gone: Is animal migration disappearing. PLoS Biology 6:e188.  10.1371/journal.pbio.0060188 Google Scholar


Williams, B. K. (2011). Adaptive management of natural resources—Framework and issues. Journal of Environmental Management 92:1346–1353. Google Scholar


Williams, C. K., B. D. Dugger, M. G. Brasher, J. M. Coluccy, D. M. Cramer, J. M. Eadie, M. J. Gray, H. M. Hagy, M. Livolsi, S. R. McWilliams, M. Petrie, et al. (2014). Estimating habitat carrying capacity for migrating and wintering waterfowl: Considerations, pitfalls and improvements. Wildfowl Special Issue 4:407–435. Google Scholar


Williams, G. G. (1945). Do birds cross the Gulf of Mexico in spring?The Auk 62:98–111. Google Scholar


Williams, G. G. (1950). Weather and spring migration. The Auk 67:52–65. Google Scholar


Wilson, R. (Editor)(2015). Integrated Gulf of Mexico Bird Monitoring Framework: Structured Decision Making Prototype Version 3.0: Draft Interim Technical Report–October, 2015. Google Scholar


Winker, K. (1995a). Habitat selection in woodland Nearctic–Neotropic migrants on the Isthmus of Tehuantepec I. Autumn migration. The Wilson Bulletin 107:26–39. Google Scholar


Winker, K. (1995b). Autumn stopover on the Isthmus of Tehuantepec by woodland Nearctic-Neotropic migrants. The Auk 112:690–700. Google Scholar


Woltmann, S. (2001). Habitat use and movements of Sharp-shinned and Cooper's hawks during autumn at Fort Morgan, Alabama. North American Bird Bander 26:150–156. Google Scholar


Wood, E. M., A. M. Pidgeon, F. Liu, and D. J. Mladenoff (2012). Birds see the trees inside the forest: The potential impacts of changes in forest composition on songbirds during spring migration. Forest Ecology and Management 280:176–186. Google Scholar


Woodrey, M. S., and F. R. Moore (1997). Age-related differences in the stopover of fall landbird migrants on the coast of Alabama. The Auk 114:695–707. Google Scholar


Zuckerberg, B., D. Fink, F. A. La Sorte, W. M. Hochachka, and S. Kelling (2016). Novel seasonal land cover associations for eastern North American forest birds identified through dynamic species distribution modelling. Diversity and Distributions 22:717–730. Google Scholar
© 2017 Cooper Ornithological Society.
Emily B. Cohen, Wylie C. Barrow, Jeffrey J. Buler, Jill L. Deppe, Andrew Farnsworth, Peter P. Marra, Scott R. McWilliams, David W. Mehlman, R. Randy Wilson, Mark S. Woodrey, and Frank R. Moore "How do en route events around the Gulf of Mexico influence migratory landbird populations?," The Condor 119(2), 327-343, (3 May 2017).
Received: 1 February 2017; Accepted: 1 March 2017; Published: 3 May 2017

airspace habitat
avian monitoring
Gulf Coast
Gulf of Mexico
landbird migration
migratory connectivity
Nearctic–Neotropical bird population
Get copyright permission
Back to Top