Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information
Animal movement research relies on biotelemetry, and telemetry-based locations are increasingly augmented with ancillary information. This presents an underutilized opportunity to enhance movement process models. Given tags designed to record specific behaviors, efforts are increasing to update move...
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2016
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Online Access: | https://doi.org/10.1002/ece3.2530 http://ecite.utas.edu.au/112154 |
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ftunivtasecite:oai:ecite.utas.edu.au:112154 2023-05-15T13:49:03+02:00 Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information Bestley, S Jonsen, I Harcourt, RG Hindell, MA Gales, NJ 2016 application/pdf https://doi.org/10.1002/ece3.2530 http://ecite.utas.edu.au/112154 en eng John Wiley & Sons Ltd http://ecite.utas.edu.au/112154/1/112154 final.pdf http://dx.doi.org/10.1002/ece3.2530 Bestley, S and Jonsen, I and Harcourt, RG and Hindell, MA and Gales, NJ, Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information, Ecology and Evolution, 6, (22) pp. 8243-8255. ISSN 2045-7758 (2016) [Refereed Article] http://ecite.utas.edu.au/112154 Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Refereed Article PeerReviewed 2016 ftunivtasecite https://doi.org/10.1002/ece3.2530 2019-12-13T22:12:28Z Animal movement research relies on biotelemetry, and telemetry-based locations are increasingly augmented with ancillary information. This presents an underutilized opportunity to enhance movement process models. Given tags designed to record specific behaviors, efforts are increasing to update movement models beyond reliance solely upon horizontal movement information to improve inference of space use and activity budgets. We present two state-space models adapted to incorporate ancillary data to inform three discrete movement states: directed, resident, and an activity state. These were developed for two case studies: (1) a haulout model for Weddell seals, and (2) an activity model for Antarctic fur seals which intersperse periods of diving activity and inactivity. The methodology is easily implementable with any ancillary data that can be expressed as a proportion (or binary) indicator. A comparison of the models augmented with ancillary information and unaugmented models confirmed that many behavioral states appeared mischaracterized in the latter. Important changes in subsequent activity budgets occurred. Haulout accounted for 0.17 of the overall Weddell seal time budget, with the estimated proportion of time spent in a resident state reduced from a posterior median of 0.69 (0.650.73; 95% HPDI) to 0.54 (0.500.58 HPDI). The drop was more dramatic in the Antarctic fur seal case, from 0.57 (0.520.63 HPDI) to 0.22 (0.200.25 HPDI), with 0.35 (0.310.39 HPDI) of time spent in the inactive (nondiving) state. These findings reinforce previously raised contentions about the drawbacks of behavioral states inferred solely from horizontal movements. Our findings have implications for assessing habitat requirements; estimating energetics and consumption; and management efforts such as mitigating fisheries interactions. Combining multiple sources of information within integrated frameworks should improve inference of relationships between movement decisions and fitness, the interplay between resource and habitat dependencies, and their changes at the population and landscape level. Article in Journal/Newspaper Antarc* Antarctic Antarctic Fur Seal Antarctic Fur Seals Weddell Seal Weddell Seals eCite UTAS (University of Tasmania) Antarctic The Antarctic Weddell Ecology and Evolution 6 22 8243 8255 |
institution |
Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) |
spellingShingle |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Bestley, S Jonsen, I Harcourt, RG Hindell, MA Gales, NJ Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information |
topic_facet |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) |
description |
Animal movement research relies on biotelemetry, and telemetry-based locations are increasingly augmented with ancillary information. This presents an underutilized opportunity to enhance movement process models. Given tags designed to record specific behaviors, efforts are increasing to update movement models beyond reliance solely upon horizontal movement information to improve inference of space use and activity budgets. We present two state-space models adapted to incorporate ancillary data to inform three discrete movement states: directed, resident, and an activity state. These were developed for two case studies: (1) a haulout model for Weddell seals, and (2) an activity model for Antarctic fur seals which intersperse periods of diving activity and inactivity. The methodology is easily implementable with any ancillary data that can be expressed as a proportion (or binary) indicator. A comparison of the models augmented with ancillary information and unaugmented models confirmed that many behavioral states appeared mischaracterized in the latter. Important changes in subsequent activity budgets occurred. Haulout accounted for 0.17 of the overall Weddell seal time budget, with the estimated proportion of time spent in a resident state reduced from a posterior median of 0.69 (0.650.73; 95% HPDI) to 0.54 (0.500.58 HPDI). The drop was more dramatic in the Antarctic fur seal case, from 0.57 (0.520.63 HPDI) to 0.22 (0.200.25 HPDI), with 0.35 (0.310.39 HPDI) of time spent in the inactive (nondiving) state. These findings reinforce previously raised contentions about the drawbacks of behavioral states inferred solely from horizontal movements. Our findings have implications for assessing habitat requirements; estimating energetics and consumption; and management efforts such as mitigating fisheries interactions. Combining multiple sources of information within integrated frameworks should improve inference of relationships between movement decisions and fitness, the interplay between resource and habitat dependencies, and their changes at the population and landscape level. |
format |
Article in Journal/Newspaper |
author |
Bestley, S Jonsen, I Harcourt, RG Hindell, MA Gales, NJ |
author_facet |
Bestley, S Jonsen, I Harcourt, RG Hindell, MA Gales, NJ |
author_sort |
Bestley, S |
title |
Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information |
title_short |
Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information |
title_full |
Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information |
title_fullStr |
Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information |
title_full_unstemmed |
Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information |
title_sort |
putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information |
publisher |
John Wiley & Sons Ltd |
publishDate |
2016 |
url |
https://doi.org/10.1002/ece3.2530 http://ecite.utas.edu.au/112154 |
geographic |
Antarctic The Antarctic Weddell |
geographic_facet |
Antarctic The Antarctic Weddell |
genre |
Antarc* Antarctic Antarctic Fur Seal Antarctic Fur Seals Weddell Seal Weddell Seals |
genre_facet |
Antarc* Antarctic Antarctic Fur Seal Antarctic Fur Seals Weddell Seal Weddell Seals |
op_relation |
http://ecite.utas.edu.au/112154/1/112154 final.pdf http://dx.doi.org/10.1002/ece3.2530 Bestley, S and Jonsen, I and Harcourt, RG and Hindell, MA and Gales, NJ, Putting the behavior into animal movement modeling: improved activity budgets from use of ancillary tag information, Ecology and Evolution, 6, (22) pp. 8243-8255. ISSN 2045-7758 (2016) [Refereed Article] http://ecite.utas.edu.au/112154 |
op_doi |
https://doi.org/10.1002/ece3.2530 |
container_title |
Ecology and Evolution |
container_volume |
6 |
container_issue |
22 |
container_start_page |
8243 |
op_container_end_page |
8255 |
_version_ |
1766250678499409920 |