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Analyzing tiger interaction and home range shifts using a time-geographic approach
Interaction through movement can be used as a marker to understand and model interspecific and intraspecific species dynamics, and the collective behavior of animals sharing the same space. This research leverages the time-geography framework, commonly used in human movement research, to explore the...
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Published in: | Movement ecology 2024-02, Vol.12 (1), p.13-19, Article 13 |
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description | Interaction through movement can be used as a marker to understand and model interspecific and intraspecific species dynamics, and the collective behavior of animals sharing the same space. This research leverages the time-geography framework, commonly used in human movement research, to explore the dynamic patterns of interaction between Indochinese tigers (Panthera tigris corbeti) in the western forest complex (WEFCOM) in Thailand.
We propose and assess ORTEGA, a time-geographic interaction analysis method, to trace spatio-temporal interactions patterns and home range shifts among tigers. Using unique GPS tracking data of tigers in WEFCOM collected over multiple years, concurrent and delayed interaction patterns of tigers are investigated. The outcomes are compared for intraspecific tiger interaction across different genders, relationships, and life stages. Additionally, the performance of ORTEGA is compared to a commonly used proximity-based approach.
Among the 67 tracked tigers, 42 show concurrent interactions at shared boundaries. Further investigation of five tigers with overlapping home ranges (two adult females, a male, and two young male tigers) suggests that the mother tiger and her two young mostly stay together before their dispersal but interact less post-dispersal. The male tiger increases encounters with the mother tiger while her young shift their home ranges. On another timeline, the neighbor female tiger mostly avoids the mother tiger. Through these home range dynamics and interaction patterns, we identify four types of interaction among these tigers: following, encounter, latency, and avoidance. Compared to the proximity-based approach, ORTEGA demonstrates better detects concurrent mother-young interactions during pre-dispersal, while the proximity-based approach misses many interactions among the dyads. With larger spatial buffers and temporal windows, the proximity-based approach detects more encounters but may overestimate the duration of interaction.
This research demonstrates the applicability and merits of ORTEGA as a time-geographic based approach to animal movement interaction analysis. We show time geography can develop valuable, data-driven insights about animal behavior and interactions. ORTEGA effectively traces frequent encounters and temporally delayed interactions between animals, without relying on specific spatial and temporal buffers. Future research should integrate contextual and behavioral information to better ident |
doi_str_mv | 10.1186/s40462-024-00454-0 |
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We propose and assess ORTEGA, a time-geographic interaction analysis method, to trace spatio-temporal interactions patterns and home range shifts among tigers. Using unique GPS tracking data of tigers in WEFCOM collected over multiple years, concurrent and delayed interaction patterns of tigers are investigated. The outcomes are compared for intraspecific tiger interaction across different genders, relationships, and life stages. Additionally, the performance of ORTEGA is compared to a commonly used proximity-based approach.
Among the 67 tracked tigers, 42 show concurrent interactions at shared boundaries. Further investigation of five tigers with overlapping home ranges (two adult females, a male, and two young male tigers) suggests that the mother tiger and her two young mostly stay together before their dispersal but interact less post-dispersal. The male tiger increases encounters with the mother tiger while her young shift their home ranges. On another timeline, the neighbor female tiger mostly avoids the mother tiger. Through these home range dynamics and interaction patterns, we identify four types of interaction among these tigers: following, encounter, latency, and avoidance. Compared to the proximity-based approach, ORTEGA demonstrates better detects concurrent mother-young interactions during pre-dispersal, while the proximity-based approach misses many interactions among the dyads. With larger spatial buffers and temporal windows, the proximity-based approach detects more encounters but may overestimate the duration of interaction.
This research demonstrates the applicability and merits of ORTEGA as a time-geographic based approach to animal movement interaction analysis. We show time geography can develop valuable, data-driven insights about animal behavior and interactions. ORTEGA effectively traces frequent encounters and temporally delayed interactions between animals, without relying on specific spatial and temporal buffers. Future research should integrate contextual and behavioral information to better identify and characterize the nature of species interaction.</description><identifier>ISSN: 2051-3933</identifier><identifier>EISSN: 2051-3933</identifier><identifier>DOI: 10.1186/s40462-024-00454-0</identifier><identifier>PMID: 38310255</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Animal behavior ; Animals ; Buffers ; Dispersal ; Dispersion ; Females ; Geography ; Home range ; Human motion ; Information processing ; Interaction analysis ; Interaction duration ; Latency ; Males ; Proximity ; Tiger movement ; Time geography</subject><ispartof>Movement ecology, 2024-02, Vol.12 (1), p.13-19, Article 13</ispartof><rights>2024. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>2024. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c564t-788f91f9ae4bb0a9a6d81591e8ca0b8c74d9a3c11ab029aab88bf8a38e9368693</citedby><cites>FETCH-LOGICAL-c564t-788f91f9ae4bb0a9a6d81591e8ca0b8c74d9a3c11ab029aab88bf8a38e9368693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10838465/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2925665375?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38310255$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Yifei</creatorcontrib><creatorcontrib>Dodge, Somayeh</creatorcontrib><creatorcontrib>Simcharoen, Achara</creatorcontrib><creatorcontrib>Ahearn, Sean C</creatorcontrib><creatorcontrib>Smith, James L D</creatorcontrib><title>Analyzing tiger interaction and home range shifts using a time-geographic approach</title><title>Movement ecology</title><addtitle>Mov Ecol</addtitle><description>Interaction through movement can be used as a marker to understand and model interspecific and intraspecific species dynamics, and the collective behavior of animals sharing the same space. This research leverages the time-geography framework, commonly used in human movement research, to explore the dynamic patterns of interaction between Indochinese tigers (Panthera tigris corbeti) in the western forest complex (WEFCOM) in Thailand.
We propose and assess ORTEGA, a time-geographic interaction analysis method, to trace spatio-temporal interactions patterns and home range shifts among tigers. Using unique GPS tracking data of tigers in WEFCOM collected over multiple years, concurrent and delayed interaction patterns of tigers are investigated. The outcomes are compared for intraspecific tiger interaction across different genders, relationships, and life stages. Additionally, the performance of ORTEGA is compared to a commonly used proximity-based approach.
Among the 67 tracked tigers, 42 show concurrent interactions at shared boundaries. Further investigation of five tigers with overlapping home ranges (two adult females, a male, and two young male tigers) suggests that the mother tiger and her two young mostly stay together before their dispersal but interact less post-dispersal. The male tiger increases encounters with the mother tiger while her young shift their home ranges. On another timeline, the neighbor female tiger mostly avoids the mother tiger. Through these home range dynamics and interaction patterns, we identify four types of interaction among these tigers: following, encounter, latency, and avoidance. Compared to the proximity-based approach, ORTEGA demonstrates better detects concurrent mother-young interactions during pre-dispersal, while the proximity-based approach misses many interactions among the dyads. With larger spatial buffers and temporal windows, the proximity-based approach detects more encounters but may overestimate the duration of interaction.
This research demonstrates the applicability and merits of ORTEGA as a time-geographic based approach to animal movement interaction analysis. We show time geography can develop valuable, data-driven insights about animal behavior and interactions. ORTEGA effectively traces frequent encounters and temporally delayed interactions between animals, without relying on specific spatial and temporal buffers. Future research should integrate contextual and behavioral information to better identify and characterize the nature of species interaction.</description><subject>Animal behavior</subject><subject>Animals</subject><subject>Buffers</subject><subject>Dispersal</subject><subject>Dispersion</subject><subject>Females</subject><subject>Geography</subject><subject>Home range</subject><subject>Human motion</subject><subject>Information processing</subject><subject>Interaction analysis</subject><subject>Interaction duration</subject><subject>Latency</subject><subject>Males</subject><subject>Proximity</subject><subject>Tiger movement</subject><subject>Time geography</subject><issn>2051-3933</issn><issn>2051-3933</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkl1rFDEUhgdRbKn9A17IgDfeTM33JFeyFD8KBUH0OpxkMjNZZpI1mRHaX292t9aumEASTt7zhHPyVtVrjK4wluJ9ZogJ0iDCGoQYL-uz6pwgjhuqKH3-5HxWXea8RWWoFpFWvqzOqKQYEc7Pq2-bANPdvQ9DvfjBpdqHxSWwi4-hhtDVY5xdnSAMrs6j75dcr3mvhqKfXTO4OCTYjd7WsNulCHZ8Vb3oYcru8mG_qH58-vj9-ktz-_XzzfXmtrFcsKVppewV7hU4ZgwCBaKTmCvspAVkpG1Zp4BajMEgogCMlKaXQKVTVEih6EV1c-R2EbZ6l_wM6U5H8PoQiGnQkBZvJ6e5kR3qrGmZsIy3rRLMIGxJjywTznaF9eHI2q1mdp11YUkwnUBPb4If9RB_aYwklUzwQnj3QEjx5-ryomefrZsmCC6uWRNFCGOl722Rvv1Huo1rKv9wUHFRaC3_qxqgVOBDH8vDdg_Vm1YSrCRHe9bVf1Rldm72NgbX-xI_SSDHBJtizsn1j0VipPfO0kdn6eIsfXCWRiXpzdP2PKb88RH9DeG8x_4</recordid><startdate>20240203</startdate><enddate>20240203</enddate><creator>Liu, Yifei</creator><creator>Dodge, Somayeh</creator><creator>Simcharoen, Achara</creator><creator>Ahearn, Sean C</creator><creator>Smith, James L D</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20240203</creationdate><title>Analyzing tiger interaction and home range shifts using a time-geographic approach</title><author>Liu, Yifei ; Dodge, Somayeh ; Simcharoen, Achara ; Ahearn, Sean C ; Smith, James L D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c564t-788f91f9ae4bb0a9a6d81591e8ca0b8c74d9a3c11ab029aab88bf8a38e9368693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animal behavior</topic><topic>Animals</topic><topic>Buffers</topic><topic>Dispersal</topic><topic>Dispersion</topic><topic>Females</topic><topic>Geography</topic><topic>Home range</topic><topic>Human motion</topic><topic>Information processing</topic><topic>Interaction analysis</topic><topic>Interaction duration</topic><topic>Latency</topic><topic>Males</topic><topic>Proximity</topic><topic>Tiger movement</topic><topic>Time geography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Yifei</creatorcontrib><creatorcontrib>Dodge, Somayeh</creatorcontrib><creatorcontrib>Simcharoen, Achara</creatorcontrib><creatorcontrib>Ahearn, Sean C</creatorcontrib><creatorcontrib>Smith, James L D</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Biological Sciences</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Movement ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Yifei</au><au>Dodge, Somayeh</au><au>Simcharoen, Achara</au><au>Ahearn, Sean C</au><au>Smith, James L D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analyzing tiger interaction and home range shifts using a time-geographic approach</atitle><jtitle>Movement ecology</jtitle><addtitle>Mov Ecol</addtitle><date>2024-02-03</date><risdate>2024</risdate><volume>12</volume><issue>1</issue><spage>13</spage><epage>19</epage><pages>13-19</pages><artnum>13</artnum><issn>2051-3933</issn><eissn>2051-3933</eissn><abstract>Interaction through movement can be used as a marker to understand and model interspecific and intraspecific species dynamics, and the collective behavior of animals sharing the same space. This research leverages the time-geography framework, commonly used in human movement research, to explore the dynamic patterns of interaction between Indochinese tigers (Panthera tigris corbeti) in the western forest complex (WEFCOM) in Thailand.
We propose and assess ORTEGA, a time-geographic interaction analysis method, to trace spatio-temporal interactions patterns and home range shifts among tigers. Using unique GPS tracking data of tigers in WEFCOM collected over multiple years, concurrent and delayed interaction patterns of tigers are investigated. The outcomes are compared for intraspecific tiger interaction across different genders, relationships, and life stages. Additionally, the performance of ORTEGA is compared to a commonly used proximity-based approach.
Among the 67 tracked tigers, 42 show concurrent interactions at shared boundaries. Further investigation of five tigers with overlapping home ranges (two adult females, a male, and two young male tigers) suggests that the mother tiger and her two young mostly stay together before their dispersal but interact less post-dispersal. The male tiger increases encounters with the mother tiger while her young shift their home ranges. On another timeline, the neighbor female tiger mostly avoids the mother tiger. Through these home range dynamics and interaction patterns, we identify four types of interaction among these tigers: following, encounter, latency, and avoidance. Compared to the proximity-based approach, ORTEGA demonstrates better detects concurrent mother-young interactions during pre-dispersal, while the proximity-based approach misses many interactions among the dyads. With larger spatial buffers and temporal windows, the proximity-based approach detects more encounters but may overestimate the duration of interaction.
This research demonstrates the applicability and merits of ORTEGA as a time-geographic based approach to animal movement interaction analysis. We show time geography can develop valuable, data-driven insights about animal behavior and interactions. ORTEGA effectively traces frequent encounters and temporally delayed interactions between animals, without relying on specific spatial and temporal buffers. Future research should integrate contextual and behavioral information to better identify and characterize the nature of species interaction.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>38310255</pmid><doi>10.1186/s40462-024-00454-0</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animal behavior Animals Buffers Dispersal Dispersion Females Geography Home range Human motion Information processing Interaction analysis Interaction duration Latency Males Proximity Tiger movement Time geography |
title | Analyzing tiger interaction and home range shifts using a time-geographic approach |
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