GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl
BACKGROUND: Spatio-temporal patterns of movement can characterize relationships between organisms and their surroundings, and address gaps in our understanding of species ecology, activity budgets, bioenergetics, and habitat resource management. Highly mobile waterfowl, which can exploit resources o...
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ftpubmed:oai:pubmedcentral.nih.gov:6388499 2023-05-15T13:24:51+02:00 GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl McDuie, Fiona Casazza, Michael L. Overton, Cory T. Herzog, Mark P. Hartman, C. Alexander Peterson, Sarah H. Feldheim, Cliff L. Ackerman, Joshua T. 2019-02-25 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388499/ http://www.ncbi.nlm.nih.gov/pubmed/30834128 https://doi.org/10.1186/s40462-019-0146-8 en eng BioMed Central http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388499/ http://www.ncbi.nlm.nih.gov/pubmed/30834128 http://dx.doi.org/10.1186/s40462-019-0146-8 © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. CC0 PDM CC-BY Research Text 2019 ftpubmed https://doi.org/10.1186/s40462-019-0146-8 2019-03-10T01:12:24Z BACKGROUND: Spatio-temporal patterns of movement can characterize relationships between organisms and their surroundings, and address gaps in our understanding of species ecology, activity budgets, bioenergetics, and habitat resource management. Highly mobile waterfowl, which can exploit resources over large spatial extents, are excellent models to understand relationships between movements and resource usage, landscape interactions and specific habitat needs. METHODS: We tracked 3 species of dabbling ducks with GPS-GSM transmitters in 2015–17 to examine fine-scale movement patterns over 24 h periods (30 min interval), dividing movement pathways into temporally continuous segments and spatially contiguous patches. We quantified distances moved, area used and time allocated across the day, using linear and generalized linear mixed models. We investigated behavior through relationships between these variables. RESULTS: Movements and space-use were small, and varied by species, sex and season. Gadwall (Mareca strepera) generally moved least (FFDs: 0.5–0.7 km), but their larger foraging patches resulted from longer within-area movements. Pintails (Anas acuta) moved most, were more likely to conduct flights > 300 m, had FFDs of 0.8–1.1 km, used more segments and patches per day that they revisited more frequently, resulting in the longest daily total movements. Females and males differed only during the post-hunt season when females moved more. 23.6% of track segments were short duration (1–2 locations), approximately 1/3 more than would be expected if they occurred randomly, and were more dispersed in the landscape than longer segments. Distance moved in 30 min shortened as segment duration increased, likely reflecting phases of non-movement captured within segments. CONCLUSIONS: Pacific Flyway ducks spend the majority of time using smaller foraging and resting areas than expected or previously reported, implying that foraging areas may be highly localized, and nutrients obtainable from smaller areas. ... Text Anas acuta PubMed Central (PMC) Pacific Movement Ecology 7 1 |
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Research McDuie, Fiona Casazza, Michael L. Overton, Cory T. Herzog, Mark P. Hartman, C. Alexander Peterson, Sarah H. Feldheim, Cliff L. Ackerman, Joshua T. GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl |
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Research |
description |
BACKGROUND: Spatio-temporal patterns of movement can characterize relationships between organisms and their surroundings, and address gaps in our understanding of species ecology, activity budgets, bioenergetics, and habitat resource management. Highly mobile waterfowl, which can exploit resources over large spatial extents, are excellent models to understand relationships between movements and resource usage, landscape interactions and specific habitat needs. METHODS: We tracked 3 species of dabbling ducks with GPS-GSM transmitters in 2015–17 to examine fine-scale movement patterns over 24 h periods (30 min interval), dividing movement pathways into temporally continuous segments and spatially contiguous patches. We quantified distances moved, area used and time allocated across the day, using linear and generalized linear mixed models. We investigated behavior through relationships between these variables. RESULTS: Movements and space-use were small, and varied by species, sex and season. Gadwall (Mareca strepera) generally moved least (FFDs: 0.5–0.7 km), but their larger foraging patches resulted from longer within-area movements. Pintails (Anas acuta) moved most, were more likely to conduct flights > 300 m, had FFDs of 0.8–1.1 km, used more segments and patches per day that they revisited more frequently, resulting in the longest daily total movements. Females and males differed only during the post-hunt season when females moved more. 23.6% of track segments were short duration (1–2 locations), approximately 1/3 more than would be expected if they occurred randomly, and were more dispersed in the landscape than longer segments. Distance moved in 30 min shortened as segment duration increased, likely reflecting phases of non-movement captured within segments. CONCLUSIONS: Pacific Flyway ducks spend the majority of time using smaller foraging and resting areas than expected or previously reported, implying that foraging areas may be highly localized, and nutrients obtainable from smaller areas. ... |
format |
Text |
author |
McDuie, Fiona Casazza, Michael L. Overton, Cory T. Herzog, Mark P. Hartman, C. Alexander Peterson, Sarah H. Feldheim, Cliff L. Ackerman, Joshua T. |
author_facet |
McDuie, Fiona Casazza, Michael L. Overton, Cory T. Herzog, Mark P. Hartman, C. Alexander Peterson, Sarah H. Feldheim, Cliff L. Ackerman, Joshua T. |
author_sort |
McDuie, Fiona |
title |
GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl |
title_short |
GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl |
title_full |
GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl |
title_fullStr |
GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl |
title_full_unstemmed |
GPS tracking data reveals daily spatio-temporal movement patterns of waterfowl |
title_sort |
gps tracking data reveals daily spatio-temporal movement patterns of waterfowl |
publisher |
BioMed Central |
publishDate |
2019 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388499/ http://www.ncbi.nlm.nih.gov/pubmed/30834128 https://doi.org/10.1186/s40462-019-0146-8 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
Anas acuta |
genre_facet |
Anas acuta |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6388499/ http://www.ncbi.nlm.nih.gov/pubmed/30834128 http://dx.doi.org/10.1186/s40462-019-0146-8 |
op_rights |
© The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
op_rightsnorm |
CC0 PDM CC-BY |
op_doi |
https://doi.org/10.1186/s40462-019-0146-8 |
container_title |
Movement Ecology |
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7 |
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1 |
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1766382035366051840 |