Motion‐triggered laser photography reveals fine‐scale activity patterns for burrowing crayfish

2021 ◽  
Author(s):  
Rebecca A. Bearden ◽  
Emily M. Tompkins ◽  
Alexander D. Huryn
Keyword(s):  
Activity Patterns ◽  
Fine Scale

Activity patterns and fine-scale resource partitioning in the gregarious Kihansi spray toadNectophrynoides asperginisin captivity

Zoo Biology ◽  
2014 ◽  
pp. n/a-n/a
Author(s):  
Alfan A. Rija ◽  
Ezekiel M. Goboro ◽  
Kuruthumu A. Mwamende ◽  
Abubakari Said ◽  
Edward M. Kohi ◽  
...  
Keyword(s):  
Resource Partitioning ◽  
Activity Patterns ◽  
Fine Scale

Fine-scale movement and activity patterns of Caribbean reef sharks (Carcharhinus perezi) in the Bahamas

2017 ◽  
Vol 101 (7) ◽  
pp. 1097-1104 ◽  
Author(s):  
Oliver N. Shipley ◽  
Jacob W. Brownscombe ◽  
Andy J. Danylchuk ◽  
Steven J. Cooke ◽  
Owen R. O’Shea ◽  
...  
Keyword(s):  
Activity Patterns ◽  
Fine Scale ◽  
The Bahamas ◽  
Caribbean Reef ◽  
Reef Sharks

scholarly journals Estimation of spatial and temporal overlap in three ungulate species in a Mediterranean environment

2020 ◽  
Author(s):  
Michele Zanni ◽  
Francesca Brivio ◽  
Stefano Grignolio ◽  
Marco Apollonio
Keyword(s):  
Interspecific Interactions ◽  
Activity Patterns ◽  
Temporal Distribution ◽  
Fine Scale ◽  
Intraspecific Interaction ◽  
Activity Rhythms ◽  
Use Of Resources ◽  
Temporal Segregation ◽  
Spatio Temporal ◽  
Temporal Overlap

AbstractInterspecific interactions are key drivers in structuring animal communities. Sympatric animals may show such behavioural patterns as the differential use of space and/or time to avoid competitive encounters. We took advantage of the ecological conditions of our study area, inhabited by different ungulate species, to investigate the spatial and temporal distribution of Capreolus capreolus, Dama dama and Sus scrofa. We estimated intraspecific interaction arising from the concomitant use of resources by using camera trapping. We collected 2741 videos with the three ungulates, which showed peculiar activity patterns. The three species were observed in all the habitat types of the study area over the four seasons, thus highlighting an evident spatial overlap. Moreover, our analysis demonstrated that the three species did not avoid each other through temporal segregation of their activities, rather showing a high overlap of daily activity rhythms, though with differences among the species and the seasons. Despite the high spatial and temporal overlap, the three species seemed to adopt segregation through fine-scale spatial avoidance: at an hourly level, the proportion of sites where the species were observed together was relatively low. This spatio-temporal segregation revealed complex and alternative behavioural strategies, which likely facilitated intra-guild sympatry among the studied species. Both temporal and spatio-temporal overlap reached the highest values in summer, when environmental conditions were more demanding. Given these results, we may presume that different drivers (e.g. temperature, human disturbance), which are likely stronger than interspecific interactions, affected activity rhythms and fine-scale spatial use of the studied species.

scholarly journals Fine-scale activity patterns in high-level visual areas encode the category of invisible objects

2008 ◽  
Vol 8 (15) ◽  
pp. 10-10 ◽  
Author(s):  
P. Sterzer ◽  
J. D. Haynes ◽  
G. Rees
Keyword(s):  
Activity Patterns ◽  
Fine Scale ◽  
Visual Areas ◽  
High Level

Detection of fine-scale activity patterns by integration of information in local regions

2007 ◽  
Author(s):  
Zonglei Zhen ◽  
Jie Tian ◽  
Wei Qin ◽  
Hui Zhang
Keyword(s):  
Activity Patterns ◽  
Fine Scale

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

2021 ◽  
Author(s):  
Holly M English ◽  
Luke Harvey ◽  
Rory P Wilson ◽  
Richard M Gunner ◽  
Mark D Holton ◽  
...  
Keyword(s):  
Data Collection ◽  
Energy Expenditure ◽  
Activity Patterns ◽  
Dead Reckoning ◽  
Fine Scale ◽  
Minimal Impact ◽  
African Wild Dogs ◽  
Magnetometer Data ◽  
Elusive Species ◽  
Wild Dogs

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.

scholarly journals Fine-scale assessment of home ranges and activity patterns for resident black vultures (Coragyps atratus) and turkey vultures (Cathartes aura)

PLoS ONE ◽  
2017 ◽  
Vol 12 (7) ◽  
pp. e0179819 ◽  
Author(s):  
Amanda E. Holland ◽  
Michael E. Byrne ◽  
A. Lawrence Bryan ◽  
Travis L. DeVault ◽  
Olin E. Rhodes ◽  
...  
Keyword(s):  
Activity Patterns ◽  
Home Ranges ◽  
Fine Scale ◽  
Cathartes Aura ◽  
Scale Assessment ◽  
Turkey Vultures

scholarly journals A critical assessment of data quality and venous effects in ultra-high-resolution fMRI

2018 ◽  
Author(s):  
Kendrick Kay ◽  
Keith W. Jamison ◽  
Luca Vizioli ◽  
Ruyuan Zhang ◽  
Eshed Margalit ◽  
...  
Keyword(s):  
High Resolution ◽  
Signal To Noise Ratio ◽  
Activity Patterns ◽  
Sampling Rate ◽  
Pulse Sequences ◽  
Blood Oxygenation ◽  
Fine Scale ◽  
Cortical Folding ◽  
Neuroscience Research ◽  
Spatial Coverage

AbstractAdvances in hardware, pulse sequences, and reconstruction techniques have made it possible to perform functional magnetic resonance imaging (fMRI) at sub-millimeter resolution while maintaining high spatial coverage and acceptable signal-to-noise ratio. Here, we examine whether ultra-high-resolution fMRI can be exploited for routine use in neuroscience research. We conducted fMRI in human visual cortex during a simple event-related visual experiment (7T, gradient-echo EPI, 0.8-mm isotropic voxels, 2.2-s sampling rate, 84 slices), and developed analysis and visualization tools to assess the quality of the data. We make three main observations. First, we find that the acquired fMRI images, combined with appropriate surface-based processing, provide reliable and accurate measurements of fine-scale blood oxygenation level dependent (BOLD) activity patterns. Second, we show that the highly folded structure of cortex causes substantial biases on spatial resolution and data visualization. Third, we examine the well-recognized issue of venous contributions to fMRI signals. In a systematic assessment of large sections of cortex measured at a fine scale, we show that time-averaged T2*-weighted EPI intensity is a simple, robust marker of venous effects. These venous effects are unevenly distributed across cortex, are more pronounced in gyri and outer cortical depths, and are, to a certain degree, in consistent locations across subjects relative to cortical folding. Furthermore, we show that these venous effects are strongly correlated with BOLD responses evoked by the experiment. We conclude that ultra-high-resolution fMRI can provide robust information about fine-scale BOLD activity patterns, but special care must be exercised in visualizing and interpreting these patterns, especially with regards to the confounding influence of the brain’s vasculature. To help translate these methodological findings to neuroscience research, we provide practical suggestions for both high-resolution and standard-resolution fMRI studies.

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