dc.contributor.author | Chapman, JW | |
dc.contributor.author | Nilsson, C | |
dc.contributor.author | Lim, KS | |
dc.contributor.author | Bäckman, J | |
dc.contributor.author | Reynolds, DR | |
dc.contributor.author | Alerstam, T | |
dc.contributor.author | Reynolds, AM | |
dc.date.accessioned | 2018-10-31T14:52:19Z | |
dc.date.issued | 2015-08-31 | |
dc.description.abstract | Goal-oriented migrants travelling through the sea or air must cope with the effect of cross-flows during their journeys if they are to reach their destination. In order to counteract flow-induced drift from their preferred course, migrants must detect the mean flow direction, and integrate this information with output from their internal compass, to compensate for the deflection. Animals can potentially sense flow direction by two nonexclusive mechanisms: either indirectly, by visually assessing the effect of the current on their movement direction relative to the ground; or directly, via intrinsic properties of the current. Here, we report the first evidence that nocturnal compass-guided insect migrants use a turbulence-mediated mechanism for directly assessing the wind direction hundreds of metres above the ground. By comparison, we find that nocturnally-migrating songbirds do not use turbulence to detect the flow; instead they rely on visual assessment of wind-induced drift to indirectly infer the flow direction. | en_GB |
dc.description.sponsorship | Rothamsted Research is a national institute of bioscience strategically funded by the UK Biotechnology and Biological Sciences Research Council (BBSRC). Radar studies of bird migration were supported by grants from the Swedish Research Council. We acknowledge the support provided by COST - European Cooperation in Science and Technology through the Action ES1305 “European Network for the Radar Surveillance of Animal Movement” (ENRAM). | en_GB |
dc.identifier.citation | Vol. 25 (17), pp. R751 - R752 | en_GB |
dc.identifier.doi | 10.1016/j.cub.2015.07.074 | |
dc.identifier.uri | http://hdl.handle.net/10871/34574 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/26325133 | en_GB |
dc.rights | © 2015. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dc.subject | Animal Migration | en_GB |
dc.subject | Animals | en_GB |
dc.subject | England | en_GB |
dc.subject | Flight, Animal | en_GB |
dc.subject | Models, Theoretical | en_GB |
dc.subject | Moths | en_GB |
dc.subject | Orientation | en_GB |
dc.subject | Songbirds | en_GB |
dc.subject | Sweden | en_GB |
dc.subject | Visual Perception | en_GB |
dc.subject | Wind | en_GB |
dc.title | Detection of flow direction in high-flying insect and songbird migrants | en_GB |
dc.type | Other | en_GB |
dc.date.available | 2018-10-31T14:52:19Z | |
exeter.place-of-publication | England | en_GB |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | Current Biology | en_GB |