Estimating Migratory Connectivity of Gray Catbirds (<i>Dumetella carolinensis</i>) using Geolocator and Mark–recapture Data

Ryder, Thomas B.; Fox, James W.; Marra, Peter P.

doi:10.1525/auk.2011.11091

Cited by 53 publications

(43 citation statements)

References 24 publications

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“…A number of other studies have supplemented movement analyses using molecular or geolocator data with ring re‐encounter data without assessing biases in re‐encounter probabilities (Boulet, Gibbs & Hobson ; Lopes, Marques and Wennerberg ; Procházka et al . ; Ryder, Fox & Marra ; Van Wilgenburg & Hobson ). No study has yet presented an integrated analysis, which would extend inference from both methods while accounting for re‐encounter probabilities.…”

Section: Ways To Estimate Spatiotemporal Variation In Re‐encounter Prmentioning

confidence: 99%

Large‐scale spatial analysis of ringing and re‐encounter data to infer movement patterns: A review including methodological perspectives

et al. 2014

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Summary 1.A major aim of bird ringing is to provide information about the migration and movements of bird populations. However, in comparison with demographic studies, little research has been devoted to improving quantitative inferences through large-scale spatial analyses. This represents a serious knowledge gap because robust information on geographical linkages of migratory populations throughout the annual cycle is necessary to understand the ecology and evolution of migrants and for the conservation and management of populations. 2. Here, we review recent developments and emerging opportunities for the quantitative study of movements of bird populations based on marked birds. Large-scale spatial analyses of ringing data need to account for spatiotemporal variation in re-encounter probability and the complexity of movement processes, including variability among individuals and populations in migration direction and distance. 3. We identify seven recent studies that used quantitative methods for large-scale spatial analyses of ringing and re-encounter data gathered by national ringing centres. In most cases, numbers ringed and recovered in a series of source and destination areas were used to derive estimates of the proportion of each source population travelling to each destination area. Where recovery data were sparse, precision was improved by incorporating information on re-encounter probabilities of similar species. When numbers ringed were not available, inferences could sometimes be drawn based on local recapture data from the source areas. 4. Studies to date illustrate that analyses of these large-scale ringing data sets can provide robust quantitative inferences. Further work is needed to develop these modelling approaches and to test their sensitivity to key assumptions using both real and simulated data. Data for all birds that were marked, not only those re-encountered, are often inaccessible and should be computerised in parallel with analytical developments. Further, there is great potential for the formal combination of re-encounter data with information from additional data sources such as counts and detailed movement data from radiotracking or data loggers. Because data from bird ringing operations cover long periods of time and exist in large quantities, they hold great promise for inferring spatiotemporal migration patterns, including changes in relation to climate, land use change and other environmental drivers.

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Section: Ways To Estimate Spatiotemporal Variation In Re‐encounter Prmentioning

confidence: 99%

Large‐scale spatial analysis of ringing and re‐encounter data to infer movement patterns: A review including methodological perspectives

et al. 2014

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“…2010). For example, geolocator and mark–recapture data indicate that gray catbirds (Dumetella carolinensis) breeding in the US mid‐Atlantic region winter primarily in Florida and Cuba, while US Midwest populations winter in Central America (Ryder et al . 2011).…”

Section: Limitations Affecting Quantification Of Mortality and Populamentioning

confidence: 99%

Direct human‐caused mortality of birds: improving quantification of magnitude and assessment of population impact

Loss

Will

Marra

2012

Frontiers in Ecol & Environ

102

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Hundreds of millions to greater than one billion North American birds are directly killed each year by human stressors, including collisions with man‐made structures, predation by feral and pet cats, intentional and accidental poisoning, and pollution. Because these causes of mortality are increasingly abundant and because some result in large bird die‐offs, they have received both increased scientific attention and general media coverage. However, quantifying bird mortality remains imprecise and methods to assess whether these losses cause important biological impacts remain underdeveloped. If local mortality studies followed rigorous design and sampling schemes, allowing comparison of data and scaling up of mortality estimates to broad regions, this could lead to improved analyses. Several analytical techniques – including hierarchical and population models – show potential for improving quantification of anthropogenic mortality of birds and inference of population‐level effects. Results arising from improved study designs and analytical techniques will more effectively inform decision making about policies and regulations aimed at reducing avian mortality and minimizing population impacts.

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“…To date, the use of geolocators on passerines has been limited to tracking temperate-tropical migrants from their breeding grounds to their tropical wintering grounds and back [14], [21], [22], [23], [24]. Already, these efforts have provided novel information on the migratory geography of these species.…”

Section: Introductionmentioning

confidence: 99%

Establishing the Breeding Provenance of a Temperate-Wintering North American Passerine, the Golden-Crowned Sparrow, Using Light-Level Geolocation

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Humple²,

Cormier³

et al. 2012

PLoS ONE

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The migratory biology and connectivity of passerines remains poorly known, even for those that move primarily within the temperate zone. We used light-level geolocators to describe the migratory geography of a North American temperate migrant passerine. From February to March of 2010, we attached geolocator tags to 33 Golden-crowned Sparrows (Zonotrichia atricapilla) wintering on the central coast of California, USA, and recovered four tags the following winter (October to December 2010). We used a Bayesian state-space model to estimate the most likely breeding locations. All four birds spent the breeding season on the coast of the Gulf of Alaska. These locations spanned approximately 1200 kilometers, and none of the individuals bred in the same location. Speed of migration was nearly twice as fast during spring than fall. The return rate of birds tagged the previous season (33%) was similar to that of control birds (39%), but comparing return rates was complicated because 7 of 11 returning birds had lost their tags. For birds that we recaptured before spring migration, we found no significant difference in mass change between tagged and control birds. Our results provide insight into the previously-unknown breeding provenance of a wintering population of Golden-crowned Sparrows and provide more evidence of the contributions that light-level geolocation can make to our understanding of the migratory geography of small passerines.

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Estimating Migratory Connectivity of Gray Catbirds (Dumetella carolinensis) using Geolocator and Mark–recapture Data

Cited by 53 publications

References 24 publications

Large‐scale spatial analysis of ringing and re‐encounter data to infer movement patterns: A review including methodological perspectives

Large‐scale spatial analysis of ringing and re‐encounter data to infer movement patterns: A review including methodological perspectives

Direct human‐caused mortality of birds: improving quantification of magnitude and assessment of population impact

Establishing the Breeding Provenance of a Temperate-Wintering North American Passerine, the Golden-Crowned Sparrow, Using Light-Level Geolocation

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