Calibrating animal‐borne proximity loggers
Summary Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably record encounters in free‐ranging subjects. A particularly promising approach is the use of animal‐attached ‘proximity loggers’, which...
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| Published in | Methods in ecology and evolution Vol. 6; no. 6; pp. 656 - 667 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
John Wiley & Sons, Inc
01.06.2015
John Wiley and Sons Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2041-210X 2041-210X |
| DOI | 10.1111/2041-210X.12370 |
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| Abstract | Summary
Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably record encounters in free‐ranging subjects. A particularly promising approach is the use of animal‐attached ‘proximity loggers’, which collect data on the incidence, duration and proximity of spatial associations through inter‐logger radio communication. While proximity logging is based on a straightforward physical principle – the attenuation of propagating radio waves with distance – calibrating systems for field deployment is challenging, since most study species roam across complex, heterogeneous environments.
In this study, we calibrated a recently developed digital proximity‐logging system (‘Encounternet’) for deployment on a wild population of New Caledonian crows Corvus moneduloides. Our principal objective was to establish a quantitative model that enables robust post hoc estimation of logger‐to‐logger (and, hence, crow‐to‐crow) distances from logger‐recorded signal‐strength values. To achieve an accurate description of the radio communication between crow‐borne loggers, we conducted a calibration exercise that combines theoretical analyses, field experiments, statistical modelling, behavioural observations, and computer simulations.
We show that, using signal‐strength information only, it is possible to assign crow encounters reliably to predefined distance classes, enabling powerful analyses of social dynamics. For example, raw data sets from field‐deployed loggers can be filtered at the analysis stage to include predominantly encounters where crows would have come to within a few metres of each other, and could therefore have socially learned new behaviours through direct observation. One of the main challenges for improving data classification further is the fact that crows – like most other study species – associate across a wide variety of habitats and behavioural contexts, with different signal‐attenuation properties.
Our study demonstrates that well‐calibrated proximity‐logging systems can be used to chart social associations of free‐ranging animals over a range of biologically meaningful distances. At the same time, however, it highlights that considerable efforts are required to conduct study‐specific system calibrations that adequately account for the biological and technological complexities of field deployments. Although we report results from a particular case study, the basic rationale of our multi‐step calibration exercise applies to many other tracking systems and study species. |
|---|---|
| AbstractList | Summary
Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably record encounters in free‐ranging subjects. A particularly promising approach is the use of animal‐attached ‘proximity loggers’, which collect data on the incidence, duration and proximity of spatial associations through inter‐logger radio communication. While proximity logging is based on a straightforward physical principle – the attenuation of propagating radio waves with distance – calibrating systems for field deployment is challenging, since most study species roam across complex, heterogeneous environments.
In this study, we calibrated a recently developed digital proximity‐logging system (‘Encounternet’) for deployment on a wild population of New Caledonian crows Corvus moneduloides. Our principal objective was to establish a quantitative model that enables robust post hoc estimation of logger‐to‐logger (and, hence, crow‐to‐crow) distances from logger‐recorded signal‐strength values. To achieve an accurate description of the radio communication between crow‐borne loggers, we conducted a calibration exercise that combines theoretical analyses, field experiments, statistical modelling, behavioural observations, and computer simulations.
We show that, using signal‐strength information only, it is possible to assign crow encounters reliably to predefined distance classes, enabling powerful analyses of social dynamics. For example, raw data sets from field‐deployed loggers can be filtered at the analysis stage to include predominantly encounters where crows would have come to within a few metres of each other, and could therefore have socially learned new behaviours through direct observation. One of the main challenges for improving data classification further is the fact that crows – like most other study species – associate across a wide variety of habitats and behavioural contexts, with different signal‐attenuation properties.
Our study demonstrates that well‐calibrated proximity‐logging systems can be used to chart social associations of free‐ranging animals over a range of biologically meaningful distances. At the same time, however, it highlights that considerable efforts are required to conduct study‐specific system calibrations that adequately account for the biological and technological complexities of field deployments. Although we report results from a particular case study, the basic rationale of our multi‐step calibration exercise applies to many other tracking systems and study species. Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably record encounters in free‐ranging subjects. A particularly promising approach is the use of animal‐attached ‘proximity loggers’, which collect data on the incidence, duration and proximity of spatial associations through inter‐logger radio communication. While proximity logging is based on a straightforward physical principle – the attenuation of propagating radio waves with distance – calibrating systems for field deployment is challenging, since most study species roam across complex, heterogeneous environments.In this study, we calibrated a recently developed digital proximity‐logging system (‘Encounternet’) for deployment on a wild population of New Caledonian crows Corvus moneduloides. Our principal objective was to establish a quantitative model that enables robust post hoc estimation of logger‐to‐logger (and, hence, crow‐to‐crow) distances from logger‐recorded signal‐strength values. To achieve an accurate description of the radio communication between crow‐borne loggers, we conducted a calibration exercise that combines theoretical analyses, field experiments, statistical modelling, behavioural observations, and computer simulations.We show that, using signal‐strength information only, it is possible to assign crow encounters reliably to predefined distance classes, enabling powerful analyses of social dynamics. For example, raw data sets from field‐deployed loggers can be filtered at the analysis stage to include predominantly encounters where crows would have come to within a few metres of each other, and could therefore have socially learned new behaviours through direct observation. One of the main challenges for improving data classification further is the fact that crows – like most other study species – associate across a wide variety of habitats and behavioural contexts, with different signal‐attenuation properties.Our study demonstrates that well‐calibrated proximity‐logging systems can be used to chart social associations of free‐ranging animals over a range of biologically meaningful distances. At the same time, however, it highlights that considerable efforts are required to conduct study‐specific system calibrations that adequately account for the biological and technological complexities of field deployments. Although we report results from a particular case study, the basic rationale of our multi‐step calibration exercise applies to many other tracking systems and study species. Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably record encounters in free‐ranging subjects. A particularly promising approach is the use of animal‐attached ‘proximity loggers’, which collect data on the incidence, duration and proximity of spatial associations through inter‐logger radio communication. While proximity logging is based on a straightforward physical principle – the attenuation of propagating radio waves with distance – calibrating systems for field deployment is challenging, since most study species roam across complex, heterogeneous environments. In this study, we calibrated a recently developed digital proximity‐logging system (‘Encounternet’) for deployment on a wild population of New Caledonian crows Corvus moneduloides . Our principal objective was to establish a quantitative model that enables robust post hoc estimation of logger‐to‐logger (and, hence, crow‐to‐crow) distances from logger‐recorded signal‐strength values. To achieve an accurate description of the radio communication between crow‐borne loggers, we conducted a calibration exercise that combines theoretical analyses, field experiments, statistical modelling, behavioural observations, and computer simulations. We show that, using signal‐strength information only, it is possible to assign crow encounters reliably to predefined distance classes, enabling powerful analyses of social dynamics. For example, raw data sets from field‐deployed loggers can be filtered at the analysis stage to include predominantly encounters where crows would have come to within a few metres of each other, and could therefore have socially learned new behaviours through direct observation. One of the main challenges for improving data classification further is the fact that crows – like most other study species – associate across a wide variety of habitats and behavioural contexts, with different signal‐attenuation properties. Our study demonstrates that well‐calibrated proximity‐logging systems can be used to chart social associations of free‐ranging animals over a range of biologically meaningful distances. At the same time, however, it highlights that considerable efforts are required to conduct study‐specific system calibrations that adequately account for the biological and technological complexities of field deployments. Although we report results from a particular case study, the basic rationale of our multi‐step calibration exercise applies to many other tracking systems and study species. Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably record encounters in free-ranging subjects. A particularly promising approach is the use of animal-attached 'proximity loggers', which collect data on the incidence, duration and proximity of spatial associations through inter-logger radio communication. While proximity logging is based on a straightforward physical principle - the attenuation of propagating radio waves with distance - calibrating systems for field deployment is challenging, since most study species roam across complex, heterogeneous environments.In this study, we calibrated a recently developed digital proximity-logging system ('Encounternet') for deployment on a wild population of New Caledonian crows . Our principal objective was to establish a quantitative model that enables robust estimation of logger-to-logger (and, hence, crow-to-crow) distances from logger-recorded signal-strength values. To achieve an accurate description of the radio communication between crow-borne loggers, we conducted a calibration exercise that combines theoretical analyses, field experiments, statistical modelling, behavioural observations, and computer simulations.We show that, using signal-strength information only, it is possible to assign crow encounters reliably to predefined distance classes, enabling powerful analyses of social dynamics. For example, raw data sets from field-deployed loggers can be filtered at the analysis stage to include predominantly encounters where crows would have come to within a few metres of each other, and could therefore have socially learned new behaviours through direct observation. One of the main challenges for improving data classification further is the fact that crows - like most other study species - associate across a wide variety of habitats and behavioural contexts, with different signal-attenuation properties.Our study demonstrates that well-calibrated proximity-logging systems can be used to chart social associations of free-ranging animals over a range of biologically meaningful distances. At the same time, however, it highlights that considerable efforts are required to conduct study-specific system calibrations that adequately account for the biological and technological complexities of field deployments. Although we report results from a particular case study, the basic rationale of our multi-step calibration exercise applies to many other tracking systems and study species. Summary Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably record encounters in free-ranging subjects. A particularly promising approach is the use of animal-attached 'proximity loggers', which collect data on the incidence, duration and proximity of spatial associations through inter-logger radio communication. While proximity logging is based on a straightforward physical principle - the attenuation of propagating radio waves with distance - calibrating systems for field deployment is challenging, since most study species roam across complex, heterogeneous environments. In this study, we calibrated a recently developed digital proximity-logging system ('Encounternet') for deployment on a wild population of New Caledonian crows Corvus moneduloides. Our principal objective was to establish a quantitative model that enables robust post hoc estimation of logger-to-logger (and, hence, crow-to-crow) distances from logger-recorded signal-strength values. To achieve an accurate description of the radio communication between crow-borne loggers, we conducted a calibration exercise that combines theoretical analyses, field experiments, statistical modelling, behavioural observations, and computer simulations. We show that, using signal-strength information only, it is possible to assign crow encounters reliably to predefined distance classes, enabling powerful analyses of social dynamics. For example, raw data sets from field-deployed loggers can be filtered at the analysis stage to include predominantly encounters where crows would have come to within a few metres of each other, and could therefore have socially learned new behaviours through direct observation. One of the main challenges for improving data classification further is the fact that crows - like most other study species - associate across a wide variety of habitats and behavioural contexts, with different signal-attenuation properties. Our study demonstrates that well-calibrated proximity-logging systems can be used to chart social associations of free-ranging animals over a range of biologically meaningful distances. At the same time, however, it highlights that considerable efforts are required to conduct study-specific system calibrations that adequately account for the biological and technological complexities of field deployments. Although we report results from a particular case study, the basic rationale of our multi-step calibration exercise applies to many other tracking systems and study species. 1. Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably record encounters in free-ranging subjects. A particularly promising approach is the use of animal-attached 'proximity loggers', which collect data on the incidence, duration and proximity of spatial associations through inter-logger radio communication. While proximity logging is based on a straightforward physical principle - the attenuation of propagating radio waves with distance - calibrating systems for field deployment is challenging, since most study species roam across complex, heterogeneous environments. 2. In this study, we calibrated a recently developed digital proximity-logging system ('Encounternet') for deployment on a wild population of New Caledonian crows Corvus moneduloides. Our principal objective was to establish a quantitative model that enables robust post hoc estimation of logger-to-logger (and, hence, crow-to-crow) distances from logger-recorded signal-strength values. To achieve an accurate description of the radio communication between crow-borne loggers, we conducted a calibration exercise that combines theoretical analyses, field experiments, statistical modelling, behavioural observations, and computer simulations. 3. We show that, using signal-strength information only, it is possible to assign crow encounters reliably to predefined distance classes, enabling powerful analyses of social dynamics. For example, raw data sets from field-deployed loggers can be filtered at the analysis stage to include predominantly encounters where crows would have come to within a few metres of each other, and could therefore have socially learned new behaviours through direct observation. One of the main challenges for improving data classification further is the fact that crows - like most other study species - associate across a wide variety of habitats and behavioural contexts, with different signal-attenuation properties. 4. Our study demonstrates that well-calibrated proximity-logging systems can be used to chart social associations of free-ranging animals over a range of biologically meaningful distances. At the same time, however, it highlights that considerable efforts are required to conduct study-specific system calibrations that adequately account for the biological and technological complexities of field deployments. Although we report results from a particular case study, the basic rationale of our multi-step calibration exercise applies to many other tracking systems and study species. |
| Author | Burns, Zackory T. Morrissey, Michael B. Otis, Brian Rutz, Christian James, Richard St Clair, James J. H. Burt, John Lecomte, Nicolas |
| AuthorAffiliation | 3 Department of Electrical Engineering University of Washington Seattle WA 98195 USA 4 Department of Physics and Centre for Networks and Collective Behaviour University of Bath Bath BA2 7AY UK 5 Present address: School of Biology Centre for Biological Diversity University of St Andrews Sir Harold Mitchell Building St Andrews KY16 9TH UK 2 School of Biology Centre for Biological Diversity University of St Andrews Sir Harold Mitchell Building St Andrews KY16 9TH UK 1 Department of Zoology University of Oxford South Parks Road Oxford OX1 3PS UK |
| AuthorAffiliation_xml | – name: 5 Present address: School of Biology Centre for Biological Diversity University of St Andrews Sir Harold Mitchell Building St Andrews KY16 9TH UK – name: 2 School of Biology Centre for Biological Diversity University of St Andrews Sir Harold Mitchell Building St Andrews KY16 9TH UK – name: 4 Department of Physics and Centre for Networks and Collective Behaviour University of Bath Bath BA2 7AY UK – name: 1 Department of Zoology University of Oxford South Parks Road Oxford OX1 3PS UK – name: 3 Department of Electrical Engineering University of Washington Seattle WA 98195 USA |
| Author_xml | – sequence: 1 givenname: Christian surname: Rutz fullname: Rutz, Christian organization: University of Oxford – sequence: 2 givenname: Michael B. surname: Morrissey fullname: Morrissey, Michael B. organization: University of St Andrews – sequence: 3 givenname: Zackory T. surname: Burns fullname: Burns, Zackory T. organization: University of Oxford – sequence: 4 givenname: John surname: Burt fullname: Burt, John organization: University of Washington – sequence: 5 givenname: Brian surname: Otis fullname: Otis, Brian organization: University of Washington – sequence: 6 givenname: James J. H. surname: St Clair fullname: St Clair, James J. H. organization: University of Oxford – sequence: 7 givenname: Richard surname: James fullname: James, Richard organization: University of Bath – sequence: 8 givenname: Nicolas surname: Lecomte fullname: Lecomte, Nicolas |
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| Cites_doi | 10.1098/rspb.2009.1953 10.3354/ab00492 10.2193/0091-7648(2006)34[1333:NRFTDO]2.0.CO;2 10.5061/dryad.tg0nq 10.1111/j.2041-210X.2012.00206.x 10.1111/j.1461-0248.2009.01370.x 10.1016/j.tree.2013.06.002 10.1126/science.1146788 10.1093/beheco/art081 10.1007/978-3-642-17520-6_3 10.1111/2041-210x.12003 10.1016/j.anbehav.2010.09.015 10.1016/j.cub.2013.09.011 10.1126/science.1192053 10.1371/journal.pone.0005016 10.18637/jss.v033.i02 10.1515/9781400846504 10.1016/j.tree.2014.04.002 10.2193/0091-7648(2006)34[203:MDATOA]2.0.CO;2 10.1371/journal.pone.0039068 10.1016/j.beproc.2011.11.005 10.1016/j.anbehav.2014.09.029 10.7208/chicago/9780226895246.001.0001 10.1109/MASS.2013.13 10.1371/journal.pone.0037997 10.1093/beheco/art129 10.1093/beheco/art047 10.1016/j.cub.2012.06.037 10.1242/jeb.01870 10.1111/j.1365-2656.2008.01377.x 10.1525/bio.2011.61.9.7 10.1111/j.2041-210X.2012.00236.x 10.1515/9781400837762 10.1163/000579510X12629536366284 10.1098/rstb.2010.0107 10.1007/s00265-013-1622-6 10.1111/j.1365-2664.2005.01026.x |
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| Keywords | direct and indirect encounter mapping animal social network reality mining business card tag transceiver tag wireless sensor network contact network Encounternet Corvus moneduloides biologging |
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| References | 2010; 33 2013; 4 2013; 28 2010; 329 2006; 34 2012 2010 2013; 67 2013; 23 2010; 147 2011; 81 2010; 365 2011; 61 2008 2005; 42 2014; 25 2008; 77 2014; 29 2009; 12 2013; 18 2012; 3 2001 2010; 277 2005; 208 2015 2009; 4 2013 2012; 7 2012; 89 2007; 318 2012; 22 2014; 98 e_1_2_10_23_1 e_1_2_10_24_1 e_1_2_10_21_1 e_1_2_10_22_1 e_1_2_10_20_1 e_1_2_10_41_1 e_1_2_10_40_1 e_1_2_10_2_1 e_1_2_10_4_1 e_1_2_10_18_1 e_1_2_10_3_1 e_1_2_10_6_1 e_1_2_10_16_1 e_1_2_10_39_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_38_1 e_1_2_10_8_1 e_1_2_10_14_1 e_1_2_10_37_1 e_1_2_10_7_1 e_1_2_10_15_1 e_1_2_10_36_1 e_1_2_10_12_1 e_1_2_10_35_1 e_1_2_10_9_1 e_1_2_10_13_1 e_1_2_10_34_1 e_1_2_10_10_1 e_1_2_10_33_1 e_1_2_10_11_1 e_1_2_10_32_1 e_1_2_10_31_1 e_1_2_10_30_1 Kenward R.E. (e_1_2_10_19_1) 2001 e_1_2_10_29_1 e_1_2_10_27_1 e_1_2_10_28_1 e_1_2_10_25_1 e_1_2_10_26_1 |
| References_xml | – volume: 7 start-page: e37997 year: 2012 article-title: From sensor data to animal behaviour: an oystercatcher example publication-title: PLoS ONE – volume: 34 start-page: 1333 year: 2006 end-page: 1344 article-title: New radiocollars for the detection of proximity among individuals publication-title: Wildlife Society Bulletin – volume: 33 start-page: 1 year: 2010 end-page: 22 article-title: MCMC methods for multi‐response generalized linear mixed models: the MCMCglmm R package publication-title: Journal of Statistical Software – volume: 25 start-page: 258 year: 2014 end-page: 259 article-title: Dynamic feedbacks on dynamic networks: on the importance of considering real‐time rewiring—comment on Pinter‐Wollman et al. publication-title: Behavioral Ecology – year: 2001 – volume: 365 start-page: 2157 year: 2010 end-page: 2162 article-title: Animal ecology meets GPS‐based radiotelemetry: a perfect storm of opportunities and challenges publication-title: Philosophical Transactions of the Royal Society, Series B – volume: 147 start-page: 553 year: 2010 end-page: 586 article-title: The development of pandanus tool manufacture in wild New Caledonian crows publication-title: Behaviour – volume: 77 start-page: 735 year: 2008 end-page: 745 article-title: Dynamic interactions among badgers: implications for sociality and disease transmission publication-title: Journal of Animal Ecology – volume: 277 start-page: 1377 year: 2010 end-page: 1385 article-title: Tool use by wild New Caledonian crows at natural foraging sites publication-title: Proceedings of the Royal Society, Series B – volume: 25 start-page: 259 year: 2014 end-page: 260 article-title: We must consider dynamic changes in behavior in social networks and conduct manipulations—comment on Pinter‐Wollman et al. publication-title: Behavioral Ecology – year: 2012 – volume: 67 start-page: 1877 year: 2013 end-page: 1890 article-title: Spatial proximity loggers for recording animal social networks: consequences of inter‐logger variation in performance publication-title: Behavioral Ecology and Sociobiology – start-page: 25 year: 2010 end-page: 36 – volume: 12 start-page: 1147 year: 2009 end-page: 1157 article-title: Contact networks in a wild Tasmanian devil ( ) population: using social network analysis to reveal seasonal variability in social behaviour and its implications for transmission of devil facial tumour disease publication-title: Ecology Letters – start-page: 565 year: 2013 end-page: 573 – volume: 208 start-page: 4063 year: 2005 end-page: 4068 article-title: Miniaturization (0.2 g) and evaluation of attachment techniques of telemetry transmitters publication-title: Journal of Experimental Biology – volume: 7 start-page: e39068 year: 2012 article-title: Performance of proximity loggers in recording intra‐and inter‐species interactions: a laboratory and field‐based validation study publication-title: PLoS ONE – volume: 29 start-page: 326 year: 2014 end-page: 335 article-title: The evolutionary and ecological consequences of animal social networks: emerging issues publication-title: Trends in Ecology and Evolution – year: 2015 article-title: Data from: Calibrating animal‐borne proximity loggers publication-title: Methods in Ecology and Evolution – volume: 42 start-page: 595 year: 2005 end-page: 604 article-title: Contact rates between possums revealed by proximity data loggers publication-title: Journal of Applied Ecology – volume: 318 start-page: 765 year: 2007 article-title: Video cameras on wild birds publication-title: Science – volume: 3 start-page: 663 year: 2012 end-page: 672 article-title: A novel digital telemetry system for tracking wild animals: a field test for studying mate choice in a lekking tropical bird publication-title: Methods in Ecology and Evolution – volume: 329 start-page: 1523 year: 2010 end-page: 1526 article-title: The ecological significance of tool use in New Caledonian crows publication-title: Science – year: 2008 – volume: 28 start-page: 541 year: 2013 end-page: 551 article-title: Reality mining of animal social systems publication-title: Trends in Ecology and Evolution – volume: 23 start-page: R915 year: 2013 end-page: R916 article-title: Badger social networks correlate with tuberculosis infection publication-title: Current Biology – volume: 89 start-page: 153 year: 2012 end-page: 165 article-title: The evolutionary origins and ecological context of tool use in New Caledonian crows publication-title: Behavioural Processes – volume: 61 start-page: 689 year: 2011 end-page: 698 article-title: Technology on the move: recent and forthcoming innovations for tracking migratory birds publication-title: BioScience – volume: 18 start-page: 81 year: 2013 end-page: 89 article-title: Proximity loggers on amphibious mammals: a new method to study social relations in their terrestrial habitat publication-title: Aquatic Biology – volume: 3 start-page: 958 year: 2012 end-page: 972 article-title: Temporal dynamics and network analysis publication-title: Methods in Ecology and Evolution – volume: 98 start-page: 95 year: 2014 end-page: 102 article-title: Social networking in territorial great tits: slow explorers have the least central social network positions publication-title: Animal Behaviour – volume: 4 start-page: e5016 year: 2009 article-title: Contact networks in a wildlife‐livestock host community: identifying high‐risk individuals in the transmission of bovine TB among badgers and cattle publication-title: PLoS ONE – volume: 22 start-page: R669 year: 2012 end-page: R671 article-title: Automated mapping of social networks in wild birds publication-title: Current Biology – volume: 34 start-page: 203 year: 2006 end-page: 207 article-title: MateID: design and testing of a novel device for recording contacts between free‐ranging animals publication-title: Wildlife Society Bulletin – volume: 4 start-page: 114 year: 2013 end-page: 122 article-title: Programmable, miniature video‐loggers for deployment on wild birds and other wildlife publication-title: Methods in Ecology and Evolution – volume: 81 start-page: 83 year: 2011 end-page: 92 article-title: The social structure of New Caledonian crows publication-title: Animal Behaviour – volume: 25 start-page: 242 year: 2014 end-page: 255 article-title: The dynamics of animal social networks: analytical, conceptual, and theoretical advances publication-title: Behavioral Ecology – year: 2013 – ident: e_1_2_10_3_1 doi: 10.1098/rspb.2009.1953 – ident: e_1_2_10_23_1 doi: 10.3354/ab00492 – ident: e_1_2_10_27_1 doi: 10.2193/0091-7648(2006)34[1333:NRFTDO]2.0.CO;2 – ident: e_1_2_10_34_1 doi: 10.5061/dryad.tg0nq – volume-title: A Manual for Wildlife Radio Tagging year: 2001 ident: e_1_2_10_19_1 – ident: e_1_2_10_39_1 – ident: e_1_2_10_24_1 doi: 10.1111/j.2041-210X.2012.00206.x – ident: e_1_2_10_14_1 doi: 10.1111/j.1461-0248.2009.01370.x – ident: e_1_2_10_20_1 doi: 10.1016/j.tree.2013.06.002 – ident: e_1_2_10_31_1 doi: 10.1126/science.1146788 – ident: e_1_2_10_36_1 doi: 10.1093/beheco/art081 – ident: e_1_2_10_38_1 – ident: e_1_2_10_9_1 doi: 10.1007/978-3-642-17520-6_3 – ident: e_1_2_10_30_1 doi: 10.1111/2041-210x.12003 – ident: e_1_2_10_16_1 doi: 10.1016/j.anbehav.2010.09.015 – ident: e_1_2_10_40_1 doi: 10.1016/j.cub.2013.09.011 – ident: e_1_2_10_32_1 doi: 10.1126/science.1192053 – ident: e_1_2_10_4_1 doi: 10.1371/journal.pone.0005016 – ident: e_1_2_10_13_1 doi: 10.18637/jss.v033.i02 – ident: e_1_2_10_17_1 doi: 10.1515/9781400846504 – ident: e_1_2_10_21_1 doi: 10.1016/j.tree.2014.04.002 – ident: e_1_2_10_11_1 doi: 10.2193/0091-7648(2006)34[203:MDATOA]2.0.CO;2 – ident: e_1_2_10_12_1 doi: 10.1371/journal.pone.0039068 – ident: e_1_2_10_29_1 doi: 10.1016/j.beproc.2011.11.005 – ident: e_1_2_10_37_1 doi: 10.1016/j.anbehav.2014.09.029 – ident: e_1_2_10_41_1 doi: 10.7208/chicago/9780226895246.001.0001 – ident: e_1_2_10_22_1 doi: 10.1109/MASS.2013.13 – ident: e_1_2_10_35_1 doi: 10.1371/journal.pone.0037997 – ident: e_1_2_10_28_1 doi: 10.1093/beheco/art129 – ident: e_1_2_10_26_1 doi: 10.1093/beheco/art047 – ident: e_1_2_10_33_1 doi: 10.1016/j.cub.2012.06.037 – ident: e_1_2_10_25_1 doi: 10.1242/jeb.01870 – ident: e_1_2_10_5_1 doi: 10.1111/j.1365-2656.2008.01377.x – ident: e_1_2_10_7_1 doi: 10.1525/bio.2011.61.9.7 – ident: e_1_2_10_2_1 doi: 10.1111/j.2041-210X.2012.00236.x – ident: e_1_2_10_10_1 doi: 10.1515/9781400837762 – ident: e_1_2_10_15_1 doi: 10.1163/000579510X12629536366284 – ident: e_1_2_10_8_1 doi: 10.1098/rstb.2010.0107 – ident: e_1_2_10_6_1 doi: 10.1007/s00265-013-1622-6 – ident: e_1_2_10_18_1 doi: 10.1111/j.1365-2664.2005.01026.x |
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Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can... Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably... Summary Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can... 1. Growing interest in the structure and dynamics of animal social networks has stimulated efforts to develop automated tracking technologies that can reliably... |
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| SubjectTerms | Animal behavior animal social network Behavioral Ecology biologging business card tag Calibration Computer simulation contact network Corvus moneduloides Data collection direct and indirect encounter mapping Encounternet Field tests Mathematical models Proximity Radio attenuation Radio communications Radio waves reality mining Social networks Social organization Species Statistical models Tracking systems transceiver tag Wave attenuation Wave propagation wireless sensor network |
| Title | Calibrating animal‐borne proximity loggers |
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