Using movement behaviour to define biological seasons for woodland caribou

Terrestrial mammals are strongly influenced by seasonal changes in environmental conditions. Studies of animal space use behaviour are therefore inherently seasonal in nature. We propose an individual-based quantitative method for identifying seasonal shifts in caribou movement behaviour and we demo...

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Main Authors: Tyler D. Rudolph, Pierre Drapeau
Format: Article
Language:English
Published: Septentrio Academic Publishing 2012-03-01
Series:Rangifer
Subjects:
Online Access:https://septentrio.uit.no/index.php/rangifer/article/view/2277
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spelling doaj-162b6b16ce8040e9a56e4f3398d1ffdc2020-11-25T00:28:17ZengSeptentrio Academic PublishingRangifer1890-67292012-03-0132210.7557/2.32.2.22772125Using movement behaviour to define biological seasons for woodland caribouTyler D. Rudolph0Pierre DrapeauCentre for Forest Research, Department of Biological Sciences, Université du Québec à Montréal, NSERC Industrial; Chair in Sustainable Forest Management C.P. 8888, succursale Centre-ville, Montréal, QC, H3C 3P8Terrestrial mammals are strongly influenced by seasonal changes in environmental conditions. Studies of animal space use behaviour are therefore inherently seasonal in nature. We propose an individual-based quantitative method for identifying seasonal shifts in caribou movement behaviour and we demonstrate its use in determining the onset of the winter, spring dispersal, and calving seasons. Using pooled data for the population we demonstrate an alternate approach using polynomial regression with mixed effects. We then compare individual onset dates with population-based estimates and those adopted by expert consensus for our study area. Distributions of individual-based onset dates were normally distributed with prominent modes; however, there was considerable variation in individual onset times. Population-based estimates were closer to the peaks of individual estimates than were expert-based estimates, which fell outside the onetailed 90% and 95% sample quantiles of individually-fitted distributions for spring and winter, respectively. Both expertand population-based estimates were later for winter and earlier for both spring and calving than were individual-based estimates. We discuss the potential consequences of neglecting to corroborate conventionally used dates with observed seasonal trends in movement behaviour. In closing, we recommend researchers adopt an individual-based quantitative approach and a variable temporal window for data set extraction.https://septentrio.uit.no/index.php/rangifer/article/view/2277biological inferencequantitative methodsseasonal onset behaviourtemporal variationwoodland caribou
collection DOAJ
language English
format Article
sources DOAJ
author Tyler D. Rudolph
Pierre Drapeau
spellingShingle Tyler D. Rudolph
Pierre Drapeau
Using movement behaviour to define biological seasons for woodland caribou
Rangifer
biological inference
quantitative methods
seasonal onset behaviour
temporal variation
woodland caribou
author_facet Tyler D. Rudolph
Pierre Drapeau
author_sort Tyler D. Rudolph
title Using movement behaviour to define biological seasons for woodland caribou
title_short Using movement behaviour to define biological seasons for woodland caribou
title_full Using movement behaviour to define biological seasons for woodland caribou
title_fullStr Using movement behaviour to define biological seasons for woodland caribou
title_full_unstemmed Using movement behaviour to define biological seasons for woodland caribou
title_sort using movement behaviour to define biological seasons for woodland caribou
publisher Septentrio Academic Publishing
series Rangifer
issn 1890-6729
publishDate 2012-03-01
description Terrestrial mammals are strongly influenced by seasonal changes in environmental conditions. Studies of animal space use behaviour are therefore inherently seasonal in nature. We propose an individual-based quantitative method for identifying seasonal shifts in caribou movement behaviour and we demonstrate its use in determining the onset of the winter, spring dispersal, and calving seasons. Using pooled data for the population we demonstrate an alternate approach using polynomial regression with mixed effects. We then compare individual onset dates with population-based estimates and those adopted by expert consensus for our study area. Distributions of individual-based onset dates were normally distributed with prominent modes; however, there was considerable variation in individual onset times. Population-based estimates were closer to the peaks of individual estimates than were expert-based estimates, which fell outside the onetailed 90% and 95% sample quantiles of individually-fitted distributions for spring and winter, respectively. Both expertand population-based estimates were later for winter and earlier for both spring and calving than were individual-based estimates. We discuss the potential consequences of neglecting to corroborate conventionally used dates with observed seasonal trends in movement behaviour. In closing, we recommend researchers adopt an individual-based quantitative approach and a variable temporal window for data set extraction.
topic biological inference
quantitative methods
seasonal onset behaviour
temporal variation
woodland caribou
url https://septentrio.uit.no/index.php/rangifer/article/view/2277
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