2021
DOI: 10.1111/2041-210x.13597
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Estimating encounter location distributions from animal tracking data

Abstract: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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Cited by 32 publications
(24 citation statements)
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References 137 publications
(225 reference statements)
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“…Importantly, we show an association between male-associated behaviours and their partner’s behaviour, which is one of very few examples in the wider literature where individual movement-based behaviour has been shown to affect that of the respective partner 71 . In the future, we expect that with a growing collection of high-resolution biologging data, in avian and non-avian species, as well as an increasing theoretical and statistical framework on intra- and interspecific interactions 4 , 5 , 21 , 72 these findings will be more common.…”
Section: Discussionmentioning
confidence: 99%
“…Importantly, we show an association between male-associated behaviours and their partner’s behaviour, which is one of very few examples in the wider literature where individual movement-based behaviour has been shown to affect that of the respective partner 71 . In the future, we expect that with a growing collection of high-resolution biologging data, in avian and non-avian species, as well as an increasing theoretical and statistical framework on intra- and interspecific interactions 4 , 5 , 21 , 72 these findings will be more common.…”
Section: Discussionmentioning
confidence: 99%
“…This process would also shift the focal aggressive lizards' HR location. To better understand social effects on HR fidelity, a valuable direction could involve doing more detailed analyses of tracking data to identify not just conspecific encounter rates but likely locations of encounters with specific neighbors at particular times (Noonan et al, 2021), followed by changes (or not) in space use after these encounters.…”
Section: Individual Consistency In Hr Fidelitymentioning
confidence: 99%
“…In particular, anthropogenic landscape changes increase spillover risk by: (i) altering the abundance and distribution of wildlife hosts, with highly modified areas potentially attracting a greater abundance of known reservoir hosts of zoonoses (e.g., rodents and some bat species), (ii) promoting stress-induced shedding and host susceptibility, and (iii) increasing contact rates among domestic animals, wildlife, and humans [1,2,11,22,47]. While interspecific contacts are difficult to quantify in the wild, advances in animal tracking [48], data sharing platforms (e.g., Movebank), and quantitative methods [49] can refine our predictions of animal encounters, so additional monitoring can be directed to highrisk locations. However, given the difficulty of identifying and tracking the multitude of potential hosts, future applications of spatial ecology to understanding and preventing cross-species transmission may focus increasingly on resilience, rather than risk, within landscapes.…”
Section: Trends Trends In In Microbiology Microbiologymentioning
confidence: 99%