Bird migration and avian influenza: A comparison of hydrogen stable isotopes and satellite tracking methods
Introduction
The importance of migratory wild birds in the spread of H5N1 highly pathogenic avian influenza (HPAI) is a much-debated topic (Newman et al., 2012, Takekawa et al., 2010b). In areas commonly affected by HPAI, poultry trade is regarded as the primary cause for the persistence and spread of HPAI (Gauthier-Clerc et al., 2007), and long-distance transportation of poultry products along with unregulated practices at poultry markets have been linked to outbreaks in many parts of Asia (Amonsin et al., 2008, Liu et al., 2003, Shortridge et al., 1998, Wang et al., 2006, Yu et al., 2007). Waterbirds (i.e., Anatidae and Charadriidae) have been identified as primary reservoirs for low pathogenic influenza viruses (Stallknecht and Shane, 1988), but with our limited knowledge about the distances infected birds migrate and connectivity among populations, the importance of HPAI transmission by wild birds remains an open question (Gaidet et al., 2010, Takekawa et al., 2010b, van Gils et al., 2007, Weber and Stilianakis, 2007).
The potential of wild birds to spread HPAI is evident in the 2005 outbreak at Qinghai Lake in China that killed more than 6000 wild waterfowl. Poultry farming in this part of the Tibetan Plateau is rare which implies that migratory waterfowl were the likely source of the disease. Subsequent spread of HPAI into Russia, Western Europe, the Middle East, and Northern Africa, provides further evidence of transmission by wild birds (Gilbert et al., 2006b, Normile, 2005, Normile, 2006, Prosser et al., 2009), as do genetic similarities among the viruses from these disparate geographic areas (Prosser et al., 2011). In particular, related strains of HPAI along the eastern portion of the Central Asian Flyway provide what is perhaps the strongest evidence of wild bird involvement in HPAI transmission (Newman et al., 2012).
Areas where wild and domestic birds often come into contact have proven particularly prone to HPAI outbreaks, especially regions that feature extensive free-range duck production (Alexander and Brown, 2009, Gilbert et al., 2007, Hulse-Post et al., 2005). Within Thailand, hot spots for H5N1 HPAI outbreaks correspond closely with the density of free-ranging ducks, which serve as a disease reservoir and also often forage next to wild waterfowl known to carry the virus asymptomatically (Gilbert et al., 2006a, Gilbert et al., 2008, Songserm et al., 2006).
Although migration corridors and HPAI outbreaks may not be temporally correlated in some cases (Takekawa et al., 2010a), the potential for transmission (see Gaidet et al., 2010) and gaps in our knowledge about global migration routes warrant further investigation into regional connectivity. Considerable effort has been devoted to tracking waterfowl in areas affected by HPAI (e.g., Batbayar et al., 2011, Iverson et al., 2011, Newman et al., 2009, Prosser et al., 2011, Takekawa et al., 2010a). Although these efforts have generated significant insights into migration routes and the role of wild birds in HPAI transmission, they are limited in extent due to the expense associated with satellite tracking technology. The cost of a single satellite tracking device may exceed $4000 (USD) including hardware and data acquisition charges. In addition, satellite tags may stop transmitting within a few weeks of deployment, thus failing to convey tracking data for a full annual cycle (see methods and Cappelle et al., 2011).
Stable isotope ratios in feathers offer an alternative means of evaluating population connectivity in migratory birds (Hobson, 2005, Hobson et al., 2009b). Stable isotope ratios of hydrogen vary predictably across the landscape, and the keratin generated during feather growth typically reflects stable isotope ratios in the local environment (Hobson and Wassenaar, 2008). By analyzing feathers collected at a waterfowl wintering location, we can infer the geographic region where breeding and feather molt occurred during the previous summer and fall. The resolution of this tracking technique is low and the inference from a single sample is often quite poor (Kelly et al., 2008, Wunder et al., 2005). However, a modest sample of feathers from 20 to 50 individuals can provide useful information about distances traveled as well as variability in migratory behavior. Although detailed migration routes are not obtainable from isotope data, this method is relatively inexpensive (most facilities charge less than $50 USD per sample), and it can be used for birds of any size. In contrast, the smallest satellite transmitters currently available can only be used on birds that weigh over 100 g (Bridge et al., 2011). Lastly, of particular importance for disease studies is that feather-isotopes can be quantified from samples collected from birds that have died as a result of an outbreak, allowing for potential inference of the provenance of the disease.
It should be noted that the meaning of “connectivity” differs among fields of study. In the context of migratory connectivity, a breeding population with high connectivity would have a tight spatial and temporal coupling with a particular wintering area, such that members of the population would rarely mix with members of other populations (Webster et al., 2002). In this study we focus primarily on population connectivity, wherein the categorization of high connectivity is conferred upon populations that undergo significant long-term contact with other populations. Our goal is to evaluate the utility of stable isotope ratios as a means of revealing varying degrees of population connectivity by comparing hydrogen stable-isotope ratios with satellite-tracking data from ducks captured at wintering locations in Bangladesh, Hong Kong, and Turkey. Deuterium in rainwater typically becomes more reduced with increased distance from the equator. Hence, we predicted that birds with more northerly breeding and molting grounds would have less deuterium in their feathers. Moreover, increased variation in northward migration flights should be associated with both increased population connectivity (i.e., more widespread intermingling of different breeding populations at the wintering site) and increased variation in hydrogen isotope signatures. This study combines data from stable isotope analyses and from satellite-tracking studies collected from the same set of migratory birds, to provide a rare, but intuitively simple means of testing our predictions.
Section snippets
Satellite transmitter deployment and feather collection
As part of efforts orchestrated by the United Nations Food and Agriculture Organization and the U. S. Geological Survey, hundreds of satellite tags were deployed in Asia, Eastern Europe, and Africa. This study is focused only on deployments in Hong Kong (Special Administrative Region, China; 22.5° N, 114.0° E), northeast Bangladesh (24.6° N, 92.1° E), and northern Turkey (41.7° N, 36.0° E), where at least five individuals marked on the wintering grounds carried a working tag to their breeding and
Results
Satellite tracking data revealed notable differences among the migration behaviors of the ducks tagged in Hong Kong, Bangladesh, and Turkey (Fig. 1). These data show that seven birds tagged in Hong Kong generally migrated farther than birds at the other two sites with an average distance of 4075 ± 1070 km (mean ± one standard deviation) between the tagging location and the presumed molting location, and migration distances did not vary greatly among those individuals. The 10 ducks tagged in
Discussion
We observed general agreement among population-level connectivity inferred from stable isotopes and from satellite tracking. Based on stable-isotope data alone, Bangladesh would emerge as an area where transmission among different breeding populations is likely by virtue of the high degree of variation in δD in this area (Table 1). Hong Kong would be regarded as an area where long-distance transmission could occur (based on the more negative δD of the feathers from that site), and Turkey would
Acknowledgements
Isotope analyses and manuscript generation was supported by an NIH/NSF Ecology and Evolution of Infectious Diseases award from the Fogarty International Center of the National Institutes of Health (3R01-TW005869) with an ARRA U.S. Postdoctoral Scientist Administrative Supplement. Field work was supported by the United Nations Food and Agriculture Organization, the U. S. Geological Survey Western Ecological Research Center and Avian Influenza Program, and Erasmus University. The work was
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