Dataset Information

The genome sequence of the European golden eagle, Aquila chrysaetos chrysaetos Linnaeus 1758.

ABSTRACT: We present a genome assembly from an individual female Aquila chrysaetos chrysaetos (the European golden eagle; Chordata; Aves; Accipitridae). The genome sequence is 1.23 gigabases in span. The majority of the assembly is scaffolded into 28 chromosomal pseudomolecules, including the W and Z sex chromosomes.

SUBMITTER: Mead D

PROVIDER: S-EPMC8499043 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

The genome sequence of the European golden eagle, <i>Aquila chrysaetos chrysaetos</i> Linnaeus 1758.

Mead Dan D Ogden Rob R Meredith Anna A Peniche Gabriela G Smith Michelle M Corton Craig C Oliver Karen K Skelton Jason J Betteridge Emma E Doulcan Jale J Holmes Nadine N Wright Victoria V Loose Matt M Quail Michael A MA McCarthy Shane A SA Howe Kerstin K Chow William W Torrance James J Collins Joanna J Challis Richard R Durbin Richard R Blaxter Mark M

Wellcome open research 20210514

We present a genome assembly from an individual female <i>Aquila chrysaetos chrysaetos</i> (the European golden eagle; Chordata; Aves; Accipitridae). The genome sequence is 1.23 gigabases in span. The majority of the assembly is scaffolded into 28 chromosomal pseudomolecules, including the W and Z sex chromosomes. ...[more]

PMID: 34671705

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Project description:Wind power is a major candidate in the search for clean, renewable energy. Beyond the technical and economic challenges of wind energy development are environmental issues that may restrict its growth. Avian fatalities due to collisions with rotating turbine blades are a leading concern and there is considerable uncertainty surrounding avian collision risk at wind facilities. This uncertainty is not reflected in many models currently used to predict the avian fatalities that would result from proposed wind developments. We introduce a method to predict fatalities at wind facilities, based on pre-construction monitoring. Our method can directly incorporate uncertainty into the estimates of avian fatalities and can be updated if information on the true number of fatalities becomes available from post-construction carcass monitoring. Our model considers only three parameters: hazardous footprint, bird exposure to turbines and collision probability. By using a Bayesian analytical framework we account for uncertainties in these values, which are then reflected in our predictions and can be reduced through subsequent data collection. The simplicity of our approach makes it accessible to ecologists concerned with the impact of wind development, as well as to managers, policy makers and industry interested in its implementation in real-world decision contexts. We demonstrate the utility of our method by predicting golden eagle (Aquila chrysaetos) fatalities at a wind installation in the United States. Using pre-construction data, we predicted 7.48 eagle fatalities year-1 (95% CI: (1.1, 19.81)). The U.S. Fish and Wildlife Service uses the 80th quantile (11.0 eagle fatalities year-1) in their permitting process to ensure there is only a 20% chance a wind facility exceeds the authorized fatalities. Once data were available from two-years of post-construction monitoring, we updated the fatality estimate to 4.8 eagle fatalities year-1 (95% CI: (1.76, 9.4); 80th quantile, 6.3). In this case, the increased precision in the fatality prediction lowered the level of authorized take, and thus lowered the required amount of compensatory mitigation.

Dataset Information

The genome sequence of the European golden eagle, Aquila chrysaetos chrysaetos Linnaeus 1758.

Publications

The genome sequence of the European golden eagle, <i>Aquila chrysaetos chrysaetos</i> Linnaeus 1758.

Similar Datasets

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