scholarly journals Multi-sensor biologgers and innovative training allow data collection with high conservation and welfare value in zoos

Author(s):  
Holly M English ◽  
Luke Harvey ◽  
Rory P Wilson ◽  
Richard M Gunner ◽  
Mark D Holton ◽  
...  

Abstract Zoos are valuable resources for research, providing scientists with access to rare and elusive species in an easy to observe environment. Animal-attached loggers (aka biologgers) offer profound insight into animal behaviour. Their use in zoos has high yet largely untapped potential to collect data relevant for wild animal research and conservation but also welfare and enrichment monitoring of the zoo animals themselves. However, affixing biologgers to study animals can be problematic in captive settings, limiting the accessibility of this technology for use on zoo species which ordinarily need to be sedated for the fitting of such devices, including large carnivores. Here we show that biologging collars and crate-training allow collection of novel datasets on captive animals with high welfare and conservation value, using endangered African wild dogs (Lycaon pictus) tagged with tri-axial accelerometer and tri-axial magnetometer loggers, as a case study. Two yearling female wild dogs were fitted with biologging collars while sedated in preparation for translocation from London to Whipsnade Zoo, with data collected for 10–26 hours until collar detachment. Two adult male wild dogs at London Zoo were trained to accept collars in a modified crate in exchange for a food reward, which allowed fitting and detaching the collars without sedation, with data collected for 28 days. First, we show how accelerometer and magnetometer data allow detection of fine-scale individual differences in the recovery from sedation as well as within- and between-individual variation in activity patterns in relation to the type of food received (tong vs. rabbit and pony carcass). Using the vectorial dynamic body acceleration metric (VeDBA), a proxy for movement-related energy expenditure, further shows that daily energy expenditure was higher on days with partial pony carcass feeds compared to rabbit feeds but varied considerably between days where flesh pieces were fed with tongs. Using the dead-reckoning method allowed reconstruction of fine-scale (1 Hz locations) movement paths within enclosures, indoors and outdoors, allowing visualisation and quantification of fine-scale movement and space use differences between individuals and over time, for example in response to different enrichment methods. Using multi-sensor biologgers, combined with training captive animals to accept collars without the use of anaesthetic, can enable flexible, experimental approaches to data collection with minimal impact on study animals, providing novel understanding of relevance for both zoo and wild animals.

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Melinda G. Conners ◽  
Théo Michelot ◽  
Eleanor I. Heywood ◽  
Rachael A. Orben ◽  
Richard A. Phillips ◽  
...  

AbstractBackgroundInertial measurement units (IMUs) with high-resolution sensors such as accelerometers are now used extensively to study fine-scale behavior in a wide range of marine and terrestrial animals. Robust and practical methods are required for the computationally-demanding analysis of the resulting large datasets, particularly for automating classification routines that construct behavioral time series and time-activity budgets. Magnetometers are used increasingly to study behavior, but it is not clear how these sensors contribute to the accuracy of behavioral classification methods. Development of effective  classification methodology is key to understanding energetic and life-history implications of foraging and other behaviors.MethodsWe deployed accelerometers and magnetometers on four species of free-ranging albatrosses and evaluated the ability of unsupervised hidden Markov models (HMMs) to identify three major modalities in their behavior: ‘flapping flight’, ‘soaring flight’, and ‘on-water’. The relative contribution of each sensor to classification accuracy was measured by comparing HMM-inferred states with expert classifications identified from stereotypic patterns observed in sensor data.ResultsHMMs provided a flexible and easily interpretable means of classifying behavior from sensor data. Model accuracy was high overall (92%), but varied across behavioral states (87.6, 93.1 and 91.7% for ‘flapping flight’, ‘soaring flight’ and ‘on-water’, respectively). Models built on accelerometer data alone were as accurate as those that also included magnetometer data; however, the latter were useful for investigating slow and periodic behaviors such as dynamic soaring at a fine scale.ConclusionsThe use of IMUs in behavioral studies produces large data sets, necessitating the development of computationally-efficient methods to automate behavioral classification in order to synthesize and interpret underlying patterns. HMMs provide an accessible and robust framework for analyzing complex IMU datasets and comparing behavioral variation among taxa across habitats, time and space.


PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e99686 ◽  
Author(s):  
Craig R. Jackson ◽  
R. John Power ◽  
Rosemary J. Groom ◽  
Emmanuel H. Masenga ◽  
Ernest E. Mjingo ◽  
...  

2010 ◽  
Vol 2010 ◽  
pp. 1-12 ◽  
Author(s):  
Stephen L. Webb ◽  
Kenneth L. Gee ◽  
Bronson K. Strickland ◽  
Stephen Demarais ◽  
Randy W. DeYoung

Few studies have documented fine-scale movements of ungulate species, including white-tailed deer(Odocoileus virginianus), despite the advent of global positioning system (GPS) technology incorporated into tracking devices. We collected fine-scale temporal location estimates (i.e., 15 min/relocation attempt) from 17 female and 15 male white-tailed deer over 7 years and 3 seasons in Oklahoma, USA. Our objectives were to document fine-scale movements of females and males and determine effects of reproductive phase, moon phase, and short-term weather patterns on movements. Female and male movements were primarily crepuscular. Male total daily movements were 20% greater during rut () than postrut (). Female daily movements were greatest during postparturition (), followed by parturition (), and preparturition (). We found moon phase had no effect on daily, nocturnal, and diurnal deer movements and fine-scale temporal weather conditions had an inconsistent influence on deer movement patterns within season. Our data suggest that hourly and daily variation in weather events have minimal impact on movements of white-tailed deer in southern latitudes. Instead, routine crepuscular movements, presumed to maximize thermoregulation and minimize predation risk, appear to be the most important factors influencing movements.


2017 ◽  
Vol 284 (1862) ◽  
pp. 20170347 ◽  
Author(s):  
Reena H. Walker ◽  
Andrew J. King ◽  
J. Weldon McNutt ◽  
Neil R. Jordan

In despotically driven animal societies, one or a few individuals tend to have a disproportionate influence on group decision-making and actions. However, global communication allows each group member to assess the relative strength of preferences for different options among their group-mates. Here, we investigate collective decisions by free-ranging African wild dog packs in Botswana. African wild dogs exhibit dominant-directed group living and take part in stereotyped social rallies: high energy greeting ceremonies that occur before collective movements. Not all rallies result in collective movements, for reasons that are not well understood. We show that the probability of rally success (i.e. group departure) is predicted by a minimum number of audible rapid nasal exhalations (sneezes), within the rally. Moreover, the number of sneezes needed for the group to depart (i.e. the quorum) was reduced whenever dominant individuals initiated rallies, suggesting that dominant participation increases the likelihood of a rally's success, but is not a prerequisite. As such, the ‘will of the group’ may override dominant preferences when the consensus of subordinates is sufficiently great. Our findings illustrate how specific behavioural mechanisms (here, sneezing) allow for negotiation (in effect, voting) that shapes decision-making in a wild, socially complex animal society.


2021 ◽  
Vol 8 (4) ◽  
pp. 576-588
Author(s):  
Zsuzsa Lugosi ◽  
Phyllis C. Lee

Virtual Reality (VR) is now a popular tool in education and for engagement with the natural world, but to date little research has investigated its potential in a zoo setting. We aimed to gauge the interest of the visiting public in using VR technology at Royal Zoological Society of Scotland’s (RZSS) Edinburgh Zoo. A VR (n = 12) and a video condition (n = 12), both introducing the lives and conservation concerns of African wild dogs (Lycaon pictus), were used to gain greater insight of the thoughts and perceptions of how individuals evaluated a purpose-built VR experience and to enable comparisons of learning outcomes for both technologies. We used semi-structured interviews; responses were evaluated through thematic analysis and descriptive analysis. Younger participants (aged 13-18 years) emphasized that VR allowed them close and personal access to the animals. Adult participants (aged 19 and above) pointed out the entertainment value of the VR experience while highlighting the potential of its educational aspect; that of enabling visitors to see animals in their natural habitat. While our results require further confirmation due to the limited sample size and restricted circumstances of data collection, we suggest that VR could be usefully introduced as a public education and visitor engagement tool that would benefit the visitors’ learning and overall experience at the zoo.


Animals ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 16 ◽  
Author(s):  
Valli-Laurente Fraser-Celin ◽  
Alice J. Hovorka

This paper argues for a more compassionate conservation by positioning animals as subjects in research and scholarship. Compassionate conservation is a multidisciplinary field of study that broadly attends to the ethical dimensions of conservation by merging conservation biology and animal welfare science. However, animal geography is rarely discussed in the compassionate conservation scholarship despite sharing similar tenets. This paper argues that responsible anthropomorphism and animal geography concepts of animal subjectivity (lived experiences) and agency (capacity to act) positions African wild dogs (Lycaon pictus) as subjects in conservation research and scholarship. It merges biological research, public communication, and interview and participant observation data to present wild dogs as thinking, feeling, self-conscious animals with agency, and whose welfare is negatively affected in human-dominated landscapes in Botswana. This paper argues for more attention to be paid to animal subjectivity and agency to foster more compassionate relations with wildlife. It argues that positioning animals as subjects in research and scholarship is an ethical starting point for moving compassionate conservation forward. This ‘enriched’ scholarly approach moves us closer to appreciating the lives of wildlife and the complexity of their circumstances and experiences.


PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0212551
Author(s):  
Femke Van den Berghe ◽  
Monique C. J. Paris ◽  
Zoltan Sarnyai ◽  
Bart Vlamings ◽  
Robert P. Millar ◽  
...  

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