Literature DB >> 30213913

A continental system for forecasting bird migration.

Benjamin M Van Doren1, Kyle G Horton2.   

Abstract

Billions of animals cross the globe each year during seasonal migrations, but efforts to monitor them are hampered by the unpredictability of their movements. We developed a bird migration forecast system at a continental scale by leveraging 23 years of spring observations to identify associations between atmospheric conditions and bird migration intensity. Our models explained up to 81% of variation in migration intensity across the United States at altitudes of 0 to 3000 meters, and performance remained high in forecasting events 1 to 7 days in advance (62 to 76% of variation was explained). Avian migratory movements across the United States likely exceed 500 million individuals per night during peak passage. Bird migration forecasts will reduce collisions with buildings, airplanes, and wind turbines; inform a variety of monitoring efforts; and engage the public.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2018        PMID: 30213913     DOI: 10.1126/science.aat7526

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  14 in total

1.  Weather at the winter and stopover areas determines spring migration onset, progress, and advancements in Afro-Palearctic migrant birds.

Authors:  Birgen Haest; Ommo Hüppop; Franz Bairlein
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-29       Impact factor: 11.205

2.  Declines in an abundant aquatic insect, the burrowing mayfly, across major North American waterways.

Authors:  Phillip M Stepanian; Sally A Entrekin; Charlotte E Wainwright; Djordje Mirkovic; Jennifer L Tank; Jeffrey F Kelly
Journal:  Proc Natl Acad Sci U S A       Date:  2020-01-21       Impact factor: 11.205

3.  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

4.  Ecological drivers of dog heartworm transmission in California.

Authors:  Lisa I Couper; Erin A Mordecai
Journal:  Parasit Vectors       Date:  2022-10-23       Impact factor: 4.047

5.  A weather surveillance radar view of Alaskan avian migration.

Authors:  Ashwin H Sivakumar; Daniel Sheldon; Kevin Winner; Carolyn S Burt; Kyle G Horton
Journal:  Proc Biol Sci       Date:  2021-05-05       Impact factor: 5.349

6.  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

7.  Automated data-intensive forecasting of plant phenology throughout the United States.

Authors:  Shawn D Taylor; Ethan P White
Journal:  Ecol Appl       Date:  2019-11-25       Impact factor: 6.105

8.  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

9.  Quantifying year-round nocturnal bird migration with a fluid dynamics model.

Authors:  Raphaël Nussbaumer; Silke Bauer; Lionel Benoit; Grégoire Mariethoz; Felix Liechti; Baptiste Schmid
Journal:  J R Soc Interface       Date:  2021-06-23       Impact factor: 4.118

10.  The effect of weather on the decision to migrate from stopover sites by autumn-migrating ducks.

Authors:  Benjamin J O'Neal; Joshua D Stafford; Ronald P Larkin; Eric S Michel
Journal:  Mov Ecol       Date:  2018-11-27       Impact factor: 3.600

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