Overcoming challenges of sparse telemetry data to estimate caribou movement
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- 作者：Sarah Bauduina ; sarah.bauduin.1@ulaval.ca" class="auth_mail" title="E-mail the corresponding author ; Eliot McIntirea ; b ; eliot.mcintire@nrcan.gc.ca" class="auth_mail" title="E-mail the corresponding author ; Martin-Hugues St-Laurentc ; martin-hugues_st-laurent@uqar.ca" class="auth_mail" title="E-mail the corresponding author ; Steve Cumminga ; stevec@sbf.ulaval.ca" class="auth_mail" title="E-mail the corresponding author
- 关键词：SE-IBM ; spatially explicit individual-based model ; VHF ; Very High Frequency ; GPS ; Global Positioning System ; POM ; pattern-oriented modeling ; RSF ; resource selection function ; MFFP ; Ministè ; re des Forê ; ts ; de la Faune et des Parcs du Qué ; bec ; good-HQ ; good habitat quality ; low-HQ ; low habitat quality ; hm-RW ; habitat-mediated random walk ; hm-BCRW ; habitat-mediated biased correlated random walk ; hm-FL ; habitat-mediated foray loop ; M1 to M6 ; model 1 to model 6 ; AD ; absolute deviatio
- 刊名：Ecological Modelling
- 出版年：2016
- 出版时间：10 September 2016
- 年：2016
- 卷：335
- 期：Complete
- 页码：24-34
- 全文大小：817 K
文摘
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We built spatially explicit individual-based models from sparse VHF telemetry data.
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Our study system was the endangered Atlantic-Gaspésie caribou.
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We parameterized alternate movement models by pattern-oriented modeling.
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Our best model was able to reproduce observed movement patterns.
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Large dataset at fine resolution is not always necessary to study animal movement.