Identifying non-independent anthropogenic risks using a behavioral individual-based model
Anthropogenic disturbances contribute to an animal's perception of and responses to the predation risk of its environment. Because an animal rarely encounters threatening stimuli in isolation, multiple disturbances can act in non-independent ways to shape an animal's landscape of fear, mak...
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Online Access: | https://scholar.uwindsor.ca/biologypub/247 https://doi.org/10.1016/j.ecocom.2013.09.004 |
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ftunivwindsor:oai:scholar.uwindsor.ca:biologypub-1247 2023-06-11T04:10:56+02:00 Identifying non-independent anthropogenic risks using a behavioral individual-based model Semeniuk, Christina A.D. Musiani, M. Birkigt, D. A. Hebblewhite, M. Grinda, S. Marceau, D. J. 2014-01-01T08:00:00Z https://scholar.uwindsor.ca/biologypub/247 https://doi.org/10.1016/j.ecocom.2013.09.004 unknown Scholarship at UWindsor https://scholar.uwindsor.ca/biologypub/247 doi:10.1016/j.ecocom.2013.09.004 https://doi.org/10.1016/j.ecocom.2013.09.004 Biological Sciences Publications Biology Life Sciences text 2014 ftunivwindsor https://doi.org/10.1016/j.ecocom.2013.09.004 2023-05-06T18:51:08Z Anthropogenic disturbances contribute to an animal's perception of and responses to the predation risk of its environment. Because an animal rarely encounters threatening stimuli in isolation, multiple disturbances can act in non-independent ways to shape an animal's landscape of fear, making it challenging to isolate their effects for effective and targeted management. We present extensions to an existing behavioral agent-based model (ABM) to use as an inverse modeling approach to test, in a scenario-sensitivity analysis, whether threatened Alberta boreal caribou (Rangifer tarandus caribou) differentially respond to industrial features (linear features, forest cutblocks, wellsites) and their attributes: presence, density, harvest age, and wellsite activity status. The spatially explicit ABM encapsulates predation risk, heterogeneous resource distribution, and species-specific energetic requirements, and successfully recreates the general behavioral mechanisms driving habitat selection. To create various industry-driven, predation-risk landscape scenarios for the sensitivity analysis, we allowed caribou agents to differentially perceive and respond to industrial features and their attributes. To identify which industry had the greatest relative influence on caribou habitat use and spatial distribution, simulated caribou movement patterns from each of the scenarios were compared with those of actual caribou from the study area, using a pattern-oriented, multi-response optimization approach. Results revealed caribou have incorporated forestry- and oil and gas features into their landscape of fear that distinctly affect their spatial and energetic responses. The presence of roads, pipelines and seismic lines, and, to a minor extent, high-density cutblocks and active wellsites, all contributed to explaining caribou behavioral responses. Our findings also indicated that both industries produced interaction effects, jointly impacting caribou spatial and energetic patterns, as no one feature could adequately explain ... Text caribou Rangifer tarandus University of Windsor, Ontario: Scholarship at UWindsor Ecological Complexity 17 67 78 |
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Open Polar |
collection |
University of Windsor, Ontario: Scholarship at UWindsor |
op_collection_id |
ftunivwindsor |
language |
unknown |
topic |
Biology Life Sciences |
spellingShingle |
Biology Life Sciences Semeniuk, Christina A.D. Musiani, M. Birkigt, D. A. Hebblewhite, M. Grinda, S. Marceau, D. J. Identifying non-independent anthropogenic risks using a behavioral individual-based model |
topic_facet |
Biology Life Sciences |
description |
Anthropogenic disturbances contribute to an animal's perception of and responses to the predation risk of its environment. Because an animal rarely encounters threatening stimuli in isolation, multiple disturbances can act in non-independent ways to shape an animal's landscape of fear, making it challenging to isolate their effects for effective and targeted management. We present extensions to an existing behavioral agent-based model (ABM) to use as an inverse modeling approach to test, in a scenario-sensitivity analysis, whether threatened Alberta boreal caribou (Rangifer tarandus caribou) differentially respond to industrial features (linear features, forest cutblocks, wellsites) and their attributes: presence, density, harvest age, and wellsite activity status. The spatially explicit ABM encapsulates predation risk, heterogeneous resource distribution, and species-specific energetic requirements, and successfully recreates the general behavioral mechanisms driving habitat selection. To create various industry-driven, predation-risk landscape scenarios for the sensitivity analysis, we allowed caribou agents to differentially perceive and respond to industrial features and their attributes. To identify which industry had the greatest relative influence on caribou habitat use and spatial distribution, simulated caribou movement patterns from each of the scenarios were compared with those of actual caribou from the study area, using a pattern-oriented, multi-response optimization approach. Results revealed caribou have incorporated forestry- and oil and gas features into their landscape of fear that distinctly affect their spatial and energetic responses. The presence of roads, pipelines and seismic lines, and, to a minor extent, high-density cutblocks and active wellsites, all contributed to explaining caribou behavioral responses. Our findings also indicated that both industries produced interaction effects, jointly impacting caribou spatial and energetic patterns, as no one feature could adequately explain ... |
format |
Text |
author |
Semeniuk, Christina A.D. Musiani, M. Birkigt, D. A. Hebblewhite, M. Grinda, S. Marceau, D. J. |
author_facet |
Semeniuk, Christina A.D. Musiani, M. Birkigt, D. A. Hebblewhite, M. Grinda, S. Marceau, D. J. |
author_sort |
Semeniuk, Christina A.D. |
title |
Identifying non-independent anthropogenic risks using a behavioral individual-based model |
title_short |
Identifying non-independent anthropogenic risks using a behavioral individual-based model |
title_full |
Identifying non-independent anthropogenic risks using a behavioral individual-based model |
title_fullStr |
Identifying non-independent anthropogenic risks using a behavioral individual-based model |
title_full_unstemmed |
Identifying non-independent anthropogenic risks using a behavioral individual-based model |
title_sort |
identifying non-independent anthropogenic risks using a behavioral individual-based model |
publisher |
Scholarship at UWindsor |
publishDate |
2014 |
url |
https://scholar.uwindsor.ca/biologypub/247 https://doi.org/10.1016/j.ecocom.2013.09.004 |
genre |
caribou Rangifer tarandus |
genre_facet |
caribou Rangifer tarandus |
op_source |
Biological Sciences Publications |
op_relation |
https://scholar.uwindsor.ca/biologypub/247 doi:10.1016/j.ecocom.2013.09.004 https://doi.org/10.1016/j.ecocom.2013.09.004 |
op_doi |
https://doi.org/10.1016/j.ecocom.2013.09.004 |
container_title |
Ecological Complexity |
container_volume |
17 |
container_start_page |
67 |
op_container_end_page |
78 |
_version_ |
1768385692179628032 |