The effect of wind, season and latitude on the migration speed of white storks Ciconia ciconia, along the eastern migration route
By J. Shamoun‐Baranes, Anat Baharad, Pinhas Alpert, P. Berthold, Y. Yom-Tov, Yoav Dvir, Y. Leshem. 2003
134 citations recorded by the source corpus.
The relation between wind, latitude and daily migration speed along the entire migration route of white storks was analysed. Mean daily migration speed was calculated using satellite telemetry data for autumn and spring migration of white storks from their breeding grounds in Germany and Poland to wintering grounds in Africa and back. The National Center for Environmental Prediction (NCEP) reanalysis data were used to systematically fit 850 mb wind vectors to daily migration speed along the migration route. White storks migrated significantly faster and had a shorter migration season in autumn (10 km/h) compared to spring (6.4 km/h). In autumn mean daily migration speed was significantly slower in Europe (8.0 km/h) than in the Middle East (11.1 km/h) and Africa (11.0 km/h). In spring mean daily migration speed was significantly faster in Africa (10.5 km/h) as birds left their wintering grounds than in the Middle East (4.3 km/h). Migration speed then increased in Europe (6.5 km/h) as birds approached their breeding grounds. In both spring and autumn tailwind (at 850mb) and latitude were found to be significant variables related to daily migration speed.
Subfields: Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/638da580e4577798c1a330b28d5c62640a48ac04
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Citations in the corpus
- Traveling or stopping of migrating birds in relation to wind: an illustration for the osprey (2006, background): “Shamoun-Baranes et al. (2003) demonstrated for white storks ( Ciconia ciconia ), tracked by satellite during their thermal soaring migration between Europe and Sudan (NE Africa), that they traveled almost every day of their autumn migration period (which on average consisted of 25 traveling days…”
- Towards a new understanding of migration timing: slower spring than autumn migration in geese reflects different decision rules for stopover use and departure (2016, background): “…birds might be limited by decreased food availability in the wintering areas and thus forced to replenish their energy supplies during migration (Shamoun-Baranes et al. 2003), and environmental conditions like successive spring warming and snow and ice melt might force the birds to move slowly…”
- Remote techniques for counting and estimating the number of bird–wind turbine collisions at sea: a review (2006, background): “Environmental factors are known to modify migration patterns at a given site (Zehnder et al. 2001, Alerstam 1990, Baranes et al. 2003).”
- Temporal and spatial patterns of repeated migratory journeys by ospreys (2006, background): “…data provide evidence of both faster spring than autumn migration (peregrine falcon, Falco peregrinus: Fuller et al. 1998; McGrady et al. 2002) and faster autumn migration (Swainson’s hawk, Buteo swainsoni, and white stork, Ciconia ciconia: Fuller et al. 1998; Shamoun-Baranes et al. 2003).”
- Flexibility in daily travel routines causes regional variation in bird migration speed (2008, background): “Previous studies have revealed that the speed at which animals migrate is not constant but varies between geographical regions (Fuller et al. 1998; Alerstam 2003; Shamoun-Baranes et al. 2003; Alerstam et al. 2006).”
- The paradox of Spoonbill migration : Most birds travel to where survival rates are lowest (2011, unknown): “During this flight the trade winds cause a high incidence of headwinds at low altitudes of flight (Piersma & van de Sant 1992; Shamoun-Baranes et al. 2010); this reduces migration speed and increases energy demands (Liechti & Bruderer 1998; Shamoun-Baranes et al. 2003).”
- The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data (2013, methodology): “adding information to locations by an expert) and simulations of the environment along movement tracks have been successfully used to discover meaningful interactions between movement and external variables [2,5,7,9-25].”