Identifying non-independent anthropogenic risks using a behavioral individual-based model
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 behavior...
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ftunibolognairis:oai:cris.unibo.it:11585/902917 2024-04-14T08:10:19+00:00 Identifying non-independent anthropogenic risks using a behavioral individual-based model Semeniuk C. A. D. Musiani M. Birkigt D. A. Hebblewhite M. Grindal S. Marceau D. J. Semeniuk C.A.D. Musiani M. Birkigt D.A. Hebblewhite M. Grindal S. Marceau D.J. 2014 ELETTRONICO https://hdl.handle.net/11585/902917 https://doi.org/10.1016/j.ecocom.2013.09.004 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000331679000007 volume:17 issue:1 firstpage:67 lastpage:78 numberofpages:12 journal:ECOLOGICAL COMPLEXITY https://hdl.handle.net/11585/902917 doi:10.1016/j.ecocom.2013.09.004 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84893663559 Agent-based model Animal movement Caribou Multi-response optimization Predation risk Scenario-sensitivity analysis info:eu-repo/semantics/article 2014 ftunibolognairis https://doi.org/10.1016/j.ecocom.2013.09.004 2024-03-21T16:59:58Z 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 anti-predator movement responses. We demonstrate that behavior-based ABMs can be applied to understanding, assessing, and ... Article in Journal/Newspaper caribou Rangifer tarandus IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) Ecological Complexity 17 67 78 |
institution |
Open Polar |
collection |
IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
op_collection_id |
ftunibolognairis |
language |
English |
topic |
Agent-based model Animal movement Caribou Multi-response optimization Predation risk Scenario-sensitivity analysis |
spellingShingle |
Agent-based model Animal movement Caribou Multi-response optimization Predation risk Scenario-sensitivity analysis Semeniuk C. A. D. Musiani M. Birkigt D. A. Hebblewhite M. Grindal S. Marceau D. J. Identifying non-independent anthropogenic risks using a behavioral individual-based model |
topic_facet |
Agent-based model Animal movement Caribou Multi-response optimization Predation risk Scenario-sensitivity analysis |
description |
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 anti-predator movement responses. We demonstrate that behavior-based ABMs can be applied to understanding, assessing, and ... |
author2 |
Semeniuk C.A.D. Musiani M. Birkigt D.A. Hebblewhite M. Grindal S. Marceau D.J. |
format |
Article in Journal/Newspaper |
author |
Semeniuk C. A. D. Musiani M. Birkigt D. A. Hebblewhite M. Grindal S. Marceau D. J. |
author_facet |
Semeniuk C. A. D. Musiani M. Birkigt D. A. Hebblewhite M. Grindal S. Marceau D. J. |
author_sort |
Semeniuk C. 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 |
publishDate |
2014 |
url |
https://hdl.handle.net/11585/902917 https://doi.org/10.1016/j.ecocom.2013.09.004 |
genre |
caribou Rangifer tarandus |
genre_facet |
caribou Rangifer tarandus |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000331679000007 volume:17 issue:1 firstpage:67 lastpage:78 numberofpages:12 journal:ECOLOGICAL COMPLEXITY https://hdl.handle.net/11585/902917 doi:10.1016/j.ecocom.2013.09.004 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84893663559 |
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 |
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1796307839251120128 |