Dabbling duck migration Ottenby 2017 (Anas platyrhynchos, Anas acuta)-reference-data
van Toor ML, Avril A, Wu G, Holan SH, Waldenström J (2018) As the duck flies: estimating the dispersal of low-pathogenic avian influenza viruses by migrating mallards. Frontiers in Ecology and Evolution. doi:10.3389/fevo.2018.00208 : Many pathogens rely on the mobility of their hosts for dispersal....
Main Authors: | , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
Movebank Data Repository
2018
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5441/001/1.3fv21n7m/2 https://www.datarepository.movebank.org/handle/10255/move.802 |
id |
ftdatacite:10.5441/001/1.3fv21n7m/2 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5441/001/1.3fv21n7m/2 2023-05-15T13:24:48+02:00 Dabbling duck migration Ottenby 2017 (Anas platyrhynchos, Anas acuta)-reference-data Van Toor, Mariëlle L. Ottosson, Ulf Van Der Meer, Tim Van Hoorn, Sita Waldenström, Jonas 2018 csv https://dx.doi.org/10.5441/001/1.3fv21n7m/2 https://www.datarepository.movebank.org/handle/10255/move.802 en eng Movebank Data Repository https://dx.doi.org/10.5441/001/1.3fv21n7m https://dx.doi.org/10.3389/fevo.2018.00208 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 Anas acuta Anas platyrhynchos animal movement animal tracking avian influenza virus avian migration bio-logging biotelemetry dabbling duck duck mallard Ottenby Bird Observatory pintail virus dispersal dataset Dataset DataPackage 2018 ftdatacite https://doi.org/10.5441/001/1.3fv21n7m/2 https://doi.org/10.5441/001/1.3fv21n7m https://doi.org/10.3389/fevo.2018.00208 2021-11-05T12:55:41Z van Toor ML, Avril A, Wu G, Holan SH, Waldenström J (2018) As the duck flies: estimating the dispersal of low-pathogenic avian influenza viruses by migrating mallards. Frontiers in Ecology and Evolution. doi:10.3389/fevo.2018.00208 : Many pathogens rely on the mobility of their hosts for dispersal. In order to understand and predict how a disease can rapidly sweep across entire continents, illuminating the contributions of host movements to disease spread is pivotal. While elegant proposals have been made to elucidate the spread of human infectious diseases, the direct observation of long-distance dispersal events of animal pathogens is challenging. Pathogens like avian influenza A viruses, causing only short disease in their animal hosts, have proven exceptionally hard to study. Here, we integrate comprehensive data on population and disease dynamics for low-pathogenic avian influenza viruses in one of their main hosts, the mallard, with a novel movement model trained from empirical, high-resolution tracks of mallard migrations. This allowed us to simulate individual mallard migrations from a key stopover site in the Baltic Sea for the entire population and link these movements to infection simulations. Using this novel approach, we were able to estimate the dispersal of low-pathogenic avian influenza viruses by migrating mallards throughout several autumn migratory seasons and predicted areas that are at risk of importing these viruses. We found that mallards are competent vectors and on average dispersed viruses over distances of 160 km in just three hours. Surprisingly, our simulations suggest that such dispersal events are rare even throughout the entire autumn migratory season. Our approach directly combines simulated population-level movements with local infection dynamics and offers a potential converging point for movement and disease ecology. Dataset Anas acuta DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Anas acuta Anas platyrhynchos animal movement animal tracking avian influenza virus avian migration bio-logging biotelemetry dabbling duck duck mallard Ottenby Bird Observatory pintail virus dispersal |
spellingShingle |
Anas acuta Anas platyrhynchos animal movement animal tracking avian influenza virus avian migration bio-logging biotelemetry dabbling duck duck mallard Ottenby Bird Observatory pintail virus dispersal Van Toor, Mariëlle L. Ottosson, Ulf Van Der Meer, Tim Van Hoorn, Sita Waldenström, Jonas Dabbling duck migration Ottenby 2017 (Anas platyrhynchos, Anas acuta)-reference-data |
topic_facet |
Anas acuta Anas platyrhynchos animal movement animal tracking avian influenza virus avian migration bio-logging biotelemetry dabbling duck duck mallard Ottenby Bird Observatory pintail virus dispersal |
description |
van Toor ML, Avril A, Wu G, Holan SH, Waldenström J (2018) As the duck flies: estimating the dispersal of low-pathogenic avian influenza viruses by migrating mallards. Frontiers in Ecology and Evolution. doi:10.3389/fevo.2018.00208 : Many pathogens rely on the mobility of their hosts for dispersal. In order to understand and predict how a disease can rapidly sweep across entire continents, illuminating the contributions of host movements to disease spread is pivotal. While elegant proposals have been made to elucidate the spread of human infectious diseases, the direct observation of long-distance dispersal events of animal pathogens is challenging. Pathogens like avian influenza A viruses, causing only short disease in their animal hosts, have proven exceptionally hard to study. Here, we integrate comprehensive data on population and disease dynamics for low-pathogenic avian influenza viruses in one of their main hosts, the mallard, with a novel movement model trained from empirical, high-resolution tracks of mallard migrations. This allowed us to simulate individual mallard migrations from a key stopover site in the Baltic Sea for the entire population and link these movements to infection simulations. Using this novel approach, we were able to estimate the dispersal of low-pathogenic avian influenza viruses by migrating mallards throughout several autumn migratory seasons and predicted areas that are at risk of importing these viruses. We found that mallards are competent vectors and on average dispersed viruses over distances of 160 km in just three hours. Surprisingly, our simulations suggest that such dispersal events are rare even throughout the entire autumn migratory season. Our approach directly combines simulated population-level movements with local infection dynamics and offers a potential converging point for movement and disease ecology. |
format |
Dataset |
author |
Van Toor, Mariëlle L. Ottosson, Ulf Van Der Meer, Tim Van Hoorn, Sita Waldenström, Jonas |
author_facet |
Van Toor, Mariëlle L. Ottosson, Ulf Van Der Meer, Tim Van Hoorn, Sita Waldenström, Jonas |
author_sort |
Van Toor, Mariëlle L. |
title |
Dabbling duck migration Ottenby 2017 (Anas platyrhynchos, Anas acuta)-reference-data |
title_short |
Dabbling duck migration Ottenby 2017 (Anas platyrhynchos, Anas acuta)-reference-data |
title_full |
Dabbling duck migration Ottenby 2017 (Anas platyrhynchos, Anas acuta)-reference-data |
title_fullStr |
Dabbling duck migration Ottenby 2017 (Anas platyrhynchos, Anas acuta)-reference-data |
title_full_unstemmed |
Dabbling duck migration Ottenby 2017 (Anas platyrhynchos, Anas acuta)-reference-data |
title_sort |
dabbling duck migration ottenby 2017 (anas platyrhynchos, anas acuta)-reference-data |
publisher |
Movebank Data Repository |
publishDate |
2018 |
url |
https://dx.doi.org/10.5441/001/1.3fv21n7m/2 https://www.datarepository.movebank.org/handle/10255/move.802 |
genre |
Anas acuta |
genre_facet |
Anas acuta |
op_relation |
https://dx.doi.org/10.5441/001/1.3fv21n7m https://dx.doi.org/10.3389/fevo.2018.00208 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5441/001/1.3fv21n7m/2 https://doi.org/10.5441/001/1.3fv21n7m https://doi.org/10.3389/fevo.2018.00208 |
_version_ |
1766381695459655680 |