2019
DOI: 10.1111/1365-2656.13112
|View full text |Cite
|
Sign up to set email alerts
|

Wind‐associated detours promote seasonal migratory connectivity in a flapping flying long‐distance avian migrant

Abstract: It is essential to gain knowledge about the causes and extent of migratory connectivity between stationary periods of migrants to further the understanding of processes affecting populations, and to allow efficient implementation of conservation efforts throughout the annual cycle. Avian migrants likely use optimal routes with respect to mode of locomotion, orientation and migration strategy, influenced by external factors such as wind and topography. In self‐powered flapping flying birds, any increases in fue… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
27
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7
2
1

Relationship

1
9

Authors

Journals

citations
Cited by 27 publications
(27 citation statements)
references
References 60 publications
0
27
0
Order By: Relevance
“…Knight et al, 2018; Kramer et al, 2018; Ruegg et al, 2014; Trierweiler et al, 2014) and/or exploring the consequences of migratory connectivity, particularly for population dynamics (Dolman & Sutherland, 1994; Taylor & Norris, 2010; Taylor & Stutchbury, 2016). The few studies that investigated the causes of migratory connectivity found that drivers include minimising energetic costs of migration given environmental conditions en route (Norevik et al, 2020), cultural transmission of migratory behaviour (Harrison et al, 2010), land availability (Finch et al, 2017) and natal dispersal and density‐dependent population regulations (Taylor, 2019). However, these studies were largely species specific or only used theoretical simulations.…”
Section: Introductionmentioning
confidence: 99%
“…Knight et al, 2018; Kramer et al, 2018; Ruegg et al, 2014; Trierweiler et al, 2014) and/or exploring the consequences of migratory connectivity, particularly for population dynamics (Dolman & Sutherland, 1994; Taylor & Norris, 2010; Taylor & Stutchbury, 2016). The few studies that investigated the causes of migratory connectivity found that drivers include minimising energetic costs of migration given environmental conditions en route (Norevik et al, 2020), cultural transmission of migratory behaviour (Harrison et al, 2010), land availability (Finch et al, 2017) and natal dispersal and density‐dependent population regulations (Taylor, 2019). However, these studies were largely species specific or only used theoretical simulations.…”
Section: Introductionmentioning
confidence: 99%
“…The differing wind patterns described in the two migration regions are consistent between the two years of the study and with other studies that describe air circulation in the region (Erni et al 2005, Athar and Ammar 2016, Patlakas et al 2019). Other loop‐migrations in the Afro‐Palearctic flyways may also be driven by these particular (Finch et al 2015, Briedis et al 2018b) or similar (Norevik et al 2019) wind patterns, and seasonally predictable wind patterns (La Sorte et al 2014) along with the distribution of suitable stopover habitat (Stach et al 2016) may explain observed seasonal differences in migration routes more generally.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the relatively high uplift during the night compared to daytime (Fig. 2) means less drag and could lead to energetically cheaper flight in nocturnal migrants over the Mediterranean [53,54] and the Caribbean [55,56] Seas (but see [57] for a suggestion that songbirds prefer non-turbulent air for sea-crossing). Moreover, dragonflies [58] and cuckoos (Cuculus spp.…”
Section: Discussionmentioning
confidence: 99%