Demography, Genetics, and the Value of Mixed Messages

Pearce, John M.; Talbot, Sandra L.

doi:10.1650/0010-5422(2006)108[474:dgatvo]2.0.co;2

Cited by 11 publications

(13 citation statements)

References 51 publications

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“…The local recapture effort, which was massive in our case for both rings and saddles, was also most likely responsible for the very high homing rates compared with earlier studies (especially in terms of geographical area to which the birds are faithful [Pearce & Talbot 2006]). In our case, winter site fidelity to the study area was computed from live recaptures + resightings of saddles by ourselves, thus eliminating the problem of data reporting rate, while data from the surroundings were mostly made of dead bird ring recoveries by hunters, whose reporting rate is unknown but assumed to be around 30% (Devineau 2003).…”

mentioning

confidence: 44%

Winter site fidelity is higher than expected for Eurasian TealAnas creccain the Camargue, France

et al. 2009

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mentioning

confidence: 44%

Winter site fidelity is higher than expected for Eurasian TealAnas creccain the Camargue, France

et al. 2009

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“…Millsap et al [59] noted that the USFWS uses this estimated natal dispersal distance to set one of the geographic scales (46–175 km) for evaluating the effects of permits that allow take of golden eagles. Based on our results, genetic exchange is occurring at a scale larger than currently used by the USFWS, thus providing additional information for evaluating the geographic extent of the potential effects of eagle take from local areas and for deciding on the size and distribution of EMUs [27,31,34,60,61]. …”

Section: Discussionmentioning

confidence: 99%

“…Genetic assessment in combination with demography and movement ecology (e.g., [33,76]), and other methods [6,61,77,78] can inform adaptive management to accommodate the spatial scales of golden eagle movement and gene flow, and the temporal changes that might occur in response to take, mitigation measures [35], persecution [11,79] and other disturbances [78,80,81]. The basis of USFWS guidance for golden eagle management and for issuing permits to take eagles includes assessing cumulative effects in the “reasonably foreseeable future” [30] and at geographic scales from the project development site through the national scale [27].…”

Section: Discussionmentioning

confidence: 99%

Nuclear and Mitochondrial DNA Analyses of Golden Eagles (Aquila chrysaetos canadensis) from Three Areas in Western North America; Initial Results and Conservation Implications

Craig¹,

Adams

Waits

et al. 2016

PLoS ONE

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Understanding the genetics of a population is a critical component of developing conservation strategies. We used archived tissue samples from golden eagles (Aquila chrysaetos canadensis) in three geographic regions of western North America to conduct a preliminary study of the genetics of the North American subspecies, and to provide data for United States Fish and Wildlife Service (USFWS) decision-making for golden eagle management. We used a combination of mitochondrial DNA (mtDNA) D-loop sequences and 16 nuclear DNA (nDNA) microsatellite loci to investigate the extent of gene flow among our sampling areas in Idaho, California and Alaska and to determine if we could distinguish birds from the different geographic regions based on their genetic profiles. Our results indicate high genetic diversity, low genetic structure and high connectivity. Nuclear DNA Fst values between Idaho and California were low but significantly different from zero (0.026). Bayesian clustering methods indicated a single population, and we were unable to distinguish summer breeding residents from different regions. Results of the mtDNA AMOVA showed that most of the haplotype variation (97%) was within the geographic populations while 3% variation was partitioned among them. One haplotype was common to all three areas. One region-specific haplotype was detected in California and one in Idaho, but additional sampling is required to determine if these haplotypes are unique to those geographic areas or a sampling artifact. We discuss potential sources of the high gene flow for this species including natal and breeding dispersal, floaters, and changes in migratory behavior as a result of environmental factors such as climate change and habitat alteration. Our preliminary findings can help inform the USFWS in development of golden eagle management strategies and provide a basis for additional research into the complex dynamics of the North American subspecies.

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“…Wiens 2001) and includes both breeding dispersal (movement between breeding locations) and natal dispersal (movement Dispersal is one of the most important life-history traits from natal origin to location of first breeding) (Greenwood and determining a species' persistence and evolution (Hanski 1999, Harvey 1982 allows for a greater understanding of population dynamics, metapopulation structure, and conservation status, particularly for rare or isolated populations (Fahrig and Merriam 1994, Pearce and Talbot 2006, Davis and Shaw 2001. However, dispersal is difficult to study, especially in long-lived species capable of dispersing long distances (Turchin 1998).…”

Section: Introductionmentioning

confidence: 99%

Nest-Site Fidelity and Dispersal of Gyrfalcons Estimated by Noninvasive Genetic Sampling

Booms¹,

Talbot²,

Sage³

et al. 2011

The Condor

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We used feathers from adult Gyrfalcons (Falco rusticolus) molted in breeding territories and blood samples from nestlings to document nest-site fidelity and dispersal of breeding adults and juveniles at three areas 100-350 km apart in Yukon Delta National Wildlife Refuge, Alaska, 2003Alaska, -2007. We used genotypes from seven polymorphic microsatellite loci that provided a mean probability of identity of 0.91 xlO'. Breeding Gyrfalcons were highly faithful to study area and territory; we documented no dispersals of breeding birds among study areas and only one dispersal between territories. But their fidelity to nest sites was low; 22% of birds returned to the same nest site the following year Distance among alternate nests within a territory averaged 750 m and was similar for both sexes. Mean tenure in a territory was 2.8 years, similar for both sexes, and distributed bimodally with peaks at 1 and 4 years. Mean annual turnover rate at the Ingakslugwat Hills (Volcanoes) study area was 20%. We detected three young that established breeding territories at distances ranging from 0 to 254 km from their natal territory, representing 2.5% apparent recruitment. Gyrfalcons in the Askinuk Mountains study area were slightly but statistically significantly differentiated genetically from those in the Volcanoes and Kilbuck Mountain study areas. These data are the first published on the nest-site fidelity, breeding dispersal, and natal dispersal of the Gyrfalcon in North America and demonstrate the utility of noninvasive genetic sampling to greatly improve our understanding of avian dispersal and its underlying mechanisms.

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Demography, Genetics, and the Value of Mixed Messages

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 11 publications

References 51 publications

Winter site fidelity is higher than expected for Eurasian TealAnas creccain the Camargue, France

Winter site fidelity is higher than expected for Eurasian TealAnas creccain the Camargue, France

Nuclear and Mitochondrial DNA Analyses of Golden Eagles (Aquila chrysaetos canadensis) from Three Areas in Western North America; Initial Results and Conservation Implications

Nest-Site Fidelity and Dispersal of Gyrfalcons Estimated by Noninvasive Genetic Sampling

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