Literature DB >> 27411248

A characterization of autumn nocturnal migration detected by weather surveillance radars in the northeastern USA.

Andrew Farnsworth, Benjamin M Van DOREN, Wesley M Hochachka, Daniel Sheldon, Kevin Winner, Jed Irvine, Jeffrey Geevarghese, Steve Kelling.   

Abstract

Billions of birds migrate at night over North America each year. However, few studies have described the phenology of these movements, such as magnitudes, directions, and speeds, for more than one migration season and at regional scales. In this study, we characterize density, direction, and speed of nocturnally migrating birds using data from 13 weather surveillance radars in the autumns of 2010 and 2011 in the northeastern USA. After screening radar data to remove precipitation, we applied a recently developed algorithm for characterizing velocity profiles with previously developed methods to document bird migration. Many hourly radar scans contained windborne "contamination," and these scans also exhibited generally low overall reflectivities. Hourly scans dominated by birds showed nightly and seasonal patterns that differed markedly from those of low reflectivity scans. Bird migration occurred during many nights, but a smaller number of nights with large movements of birds defined regional nocturnal migration. Densities varied by date, time, and location but peaked in the second and third deciles of night during the autumn period when the most birds were migrating. Migration track (the direction to which birds moved) shifted within nights from south-southwesterly to southwesterly during the seasonal migration peaks; this shift was not consistent with a similar shift in wind direction. Migration speeds varied within nights, although not closely with wind speed. Airspeeds increased during the night; groundspeeds were highest between the second and third deciles of night, when the greatest density of birds was migrating. Airspeeds and groundspeeds increased during the fall season, although groundspeeds fluctuated considerably with prevailing winds. Significant positive correlations characterized relationships among bird densities at southern coastal radar stations and northern inland radar stations. The quantitative descriptions of broadscale nocturnal migration patterns presented here will be essential for biological and conservation applications. These descriptions help to define migration phenology in time and space, fill knowledge gaps in avian annual cycles, and are useful for monitoring long-term population trends of migrants. Furthermore, these descriptions will aid in assessing potential risks to migrants, particularly from structures with which birds collide and artificial lighting that disorients migrants.

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Year:  2016        PMID: 27411248     DOI: 10.1890/15-0023

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  10 in total

1.  High-intensity urban light installation dramatically alters nocturnal bird migration.

Authors:  Benjamin M Van Doren; Kyle G Horton; Adriaan M Dokter; Holger Klinck; Susan B Elbin; Andrew Farnsworth
Journal:  Proc Natl Acad Sci U S A       Date:  2017-10-02       Impact factor: 11.205

2.  Migratory flight on the Pacific Flyway: strategies and tendencies of wind drift compensation.

Authors:  Patrick B Newcombe; Cecilia Nilsson; Tsung-Yu Lin; Kevin Winner; Garrett Bernstein; Subhransu Maji; Daniel Sheldon; Andrew Farnsworth; Kyle G Horton
Journal:  Biol Lett       Date:  2019-09-18       Impact factor: 3.703

3.  Drivers of fatal bird collisions in an urban center.

Authors:  Benjamin M Van Doren; David E Willard; Mary Hennen; Kyle G Horton; Erica F Stuber; Daniel Sheldon; Ashwin H Sivakumar; Julia Wang; Andrew Farnsworth; Benjamin M Winger
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-15       Impact factor: 11.205

4.  Innovative Visualizations Shed Light on Avian Nocturnal Migration.

Authors:  Judy Shamoun-Baranes; Andrew Farnsworth; Bart Aelterman; Jose A Alves; Kevin Azijn; Garrett Bernstein; Sérgio Branco; Peter Desmet; Adriaan M Dokter; Kyle Horton; Steve Kelling; Jeffrey F Kelly; Hidde Leijnse; Jingjing Rong; Daniel Sheldon; Wouter Van den Broeck; Jan Klaas Van Den Meersche; Benjamin Mark Van Doren; Hans van Gasteren
Journal:  PLoS One       Date:  2016-08-24       Impact factor: 3.240

5.  Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring.

Authors:  Justin Salamon; Juan Pablo Bello; Andrew Farnsworth; Matt Robbins; Sara Keen; Holger Klinck; Steve Kelling
Journal:  PLoS One       Date:  2016-11-23       Impact factor: 3.240

6.  Atmospheric conditions create freeways, detours and tailbacks for migrating birds.

Authors:  Judy Shamoun-Baranes; Felix Liechti; Wouter M G Vansteelant
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2017-05-15       Impact factor: 1.836

7.  From Agricultural Benefits to Aviation Safety: Realizing the Potential of Continent-Wide Radar Networks.

Authors:  Silke Bauer; Jason W Chapman; Don R Reynolds; José A Alves; Adriaan M Dokter; Myles M H Menz; Nir Sapir; Michał Ciach; Lars B Pettersson; Jeffrey F Kelly; Hidde Leijnse; Judy Shamoun-Baranes
Journal:  Bioscience       Date:  2017-06-28       Impact factor: 8.589

8.  Nocturnal flight-calling behaviour predicts vulnerability to artificial light in migratory birds.

Authors:  Benjamin M Winger; Brian C Weeks; Andrew Farnsworth; Andrew W Jones; Mary Hennen; David E Willard
Journal:  Proc Biol Sci       Date:  2019-04-10       Impact factor: 5.349

9.  Robust sound event detection in bioacoustic sensor networks.

Authors:  Vincent Lostanlen; Justin Salamon; Andrew Farnsworth; Steve Kelling; Juan Pablo Bello
Journal:  PLoS One       Date:  2019-10-24       Impact factor: 3.240

Review 10.  Estimating the movements of terrestrial animal populations using broad-scale occurrence data.

Authors:  Sarah R Supp; Gil Bohrer; John Fieberg; Frank A La Sorte
Journal:  Mov Ecol       Date:  2021-12-11       Impact factor: 3.600

  10 in total

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