SEARCH: Spatially Explicit Animal Response to Composition of Habitat

Complex decisions dramatically affect animal dispersal and space use. Dispersing individuals respond to a combination of fine-scale environmental stimuli and internal attributes. Individual-based modeling offers a valuable approach for the investigation of such interactions because it combines the h...

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Main Authors: Benjamin P Pauli, Nicholas P McCann, Patrick A Zollner, Robert Cummings, Jonathan H Gilbert, Eric J Gustafson
Format: Article in Journal/Newspaper
Language:unknown
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Online Access:https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0064656
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0064656&type=printable
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spelling ftrepec:oai:RePEc:plo:pone00:0064656 2024-04-14T08:14:44+00:00 SEARCH: Spatially Explicit Animal Response to Composition of Habitat Benjamin P Pauli Nicholas P McCann Patrick A Zollner Robert Cummings Jonathan H Gilbert Eric J Gustafson https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0064656 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0064656&type=printable unknown https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0064656 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0064656&type=printable article ftrepec 2024-03-19T10:35:04Z Complex decisions dramatically affect animal dispersal and space use. Dispersing individuals respond to a combination of fine-scale environmental stimuli and internal attributes. Individual-based modeling offers a valuable approach for the investigation of such interactions because it combines the heterogeneity of animal behaviors with spatial detail. Most individual-based models (IBMs), however, vastly oversimplify animal behavior and such behavioral minimalism diminishes the value of these models. We present program SEARCH (Spatially Explicit Animal Response to Composition of Habitat), a spatially explicit, individual-based, population model of animal dispersal through realistic landscapes. SEARCH uses values in Geographic Information System (GIS) maps to apply rules that animals follow during dispersal, thus allowing virtual animals to respond to fine-scale features of the landscape and maintain a detailed memory of areas sensed during movement. SEARCH also incorporates temporally dynamic landscapes so that the environment to which virtual animals respond can change during the course of a simulation. Animals in SEARCH are behaviorally dynamic and able to respond to stimuli based upon their individual experiences. Therefore, SEARCH is able to model behavioral traits of dispersing animals at fine scales and with many dynamic aspects. Such added complexity allows investigation of unique ecological questions. To illustrate SEARCH's capabilities, we simulated case studies using three mammals. We examined the impact of seasonally variable food resources on the weight distribution of dispersing raccoons (Procyon lotor), the effect of temporally dynamic mortality pressure in combination with various levels of behavioral responsiveness in eastern chipmunks (Tamias striatus), and the impact of behavioral plasticity and home range selection on disperser mortality and weight change in virtual American martens (Martes americana). These simulations highlight the relevance of SEARCH for a variety of applications and ... Article in Journal/Newspaper Martes americana RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
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language unknown
description Complex decisions dramatically affect animal dispersal and space use. Dispersing individuals respond to a combination of fine-scale environmental stimuli and internal attributes. Individual-based modeling offers a valuable approach for the investigation of such interactions because it combines the heterogeneity of animal behaviors with spatial detail. Most individual-based models (IBMs), however, vastly oversimplify animal behavior and such behavioral minimalism diminishes the value of these models. We present program SEARCH (Spatially Explicit Animal Response to Composition of Habitat), a spatially explicit, individual-based, population model of animal dispersal through realistic landscapes. SEARCH uses values in Geographic Information System (GIS) maps to apply rules that animals follow during dispersal, thus allowing virtual animals to respond to fine-scale features of the landscape and maintain a detailed memory of areas sensed during movement. SEARCH also incorporates temporally dynamic landscapes so that the environment to which virtual animals respond can change during the course of a simulation. Animals in SEARCH are behaviorally dynamic and able to respond to stimuli based upon their individual experiences. Therefore, SEARCH is able to model behavioral traits of dispersing animals at fine scales and with many dynamic aspects. Such added complexity allows investigation of unique ecological questions. To illustrate SEARCH's capabilities, we simulated case studies using three mammals. We examined the impact of seasonally variable food resources on the weight distribution of dispersing raccoons (Procyon lotor), the effect of temporally dynamic mortality pressure in combination with various levels of behavioral responsiveness in eastern chipmunks (Tamias striatus), and the impact of behavioral plasticity and home range selection on disperser mortality and weight change in virtual American martens (Martes americana). These simulations highlight the relevance of SEARCH for a variety of applications and ...
format Article in Journal/Newspaper
author Benjamin P Pauli
Nicholas P McCann
Patrick A Zollner
Robert Cummings
Jonathan H Gilbert
Eric J Gustafson
spellingShingle Benjamin P Pauli
Nicholas P McCann
Patrick A Zollner
Robert Cummings
Jonathan H Gilbert
Eric J Gustafson
SEARCH: Spatially Explicit Animal Response to Composition of Habitat
author_facet Benjamin P Pauli
Nicholas P McCann
Patrick A Zollner
Robert Cummings
Jonathan H Gilbert
Eric J Gustafson
author_sort Benjamin P Pauli
title SEARCH: Spatially Explicit Animal Response to Composition of Habitat
title_short SEARCH: Spatially Explicit Animal Response to Composition of Habitat
title_full SEARCH: Spatially Explicit Animal Response to Composition of Habitat
title_fullStr SEARCH: Spatially Explicit Animal Response to Composition of Habitat
title_full_unstemmed SEARCH: Spatially Explicit Animal Response to Composition of Habitat
title_sort search: spatially explicit animal response to composition of habitat
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0064656
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0064656&type=printable
genre Martes americana
genre_facet Martes americana
op_relation https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0064656
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0064656&type=printable
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