scholarly journals Description of Behavioral Patterns Displayed by a Recently Weaned Cohort of Healthy Dairy Calves

Animals ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 2452
Author(s):  
John Alawneh ◽  
Michelle Barreto ◽  
Kealeboga Bome ◽  
Martin Soust
Keyword(s):  
Animal Health ◽  
Movement Patterns ◽  
Health Indicators ◽  
Gps Data ◽  
Data Loggers ◽  
Distinct Cluster ◽  
Cluster Type ◽  
Gps Data Loggers

Animals display movement patterns that can be used as health indicators. The movement of dairy cattle can be characterized into three distinct cluster types. These are cluster type 1 (resting), cluster type 2 (traveling), and cluster type 3 (searching). This study aimed to analyze the movement patterns of healthy calves and assess the relationship between the variables that constitute the three cluster types. Eleven Holstein calves were fitted with GPS data loggers, which recorded their movement over a two week period during spring. The GPS data loggers captured longitude and latitude coordinates, distance, time and speed. It was found that the calves were most active during the afternoon and at night. Slight inconsistencies from previous studies were found in the cluster movements. Cluster type 2 (traveling) reported the fastest rate of movement, whereas cluster type 1 (resting) reported the slowest. These diverse movement patterns could be used to enhance the assessment of dairy animal health and welfare on farms.

scholarly journals Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus

2009 ◽  
Vol 8 (1) ◽  
pp. 68 ◽  
Author(s):  
Gonzalo M Vazquez-Prokopec ◽  
Steven T Stoddard ◽  
Valerie Paz-Soldan ◽  
Amy C Morrison ◽  
John P Elder ◽  
...  
Keyword(s):  
Dengue Virus ◽  
Human Movement ◽  
Gps Data ◽  
Data Loggers ◽  
Gps Data Loggers

scholarly journals Relationship between small-scale catch-per-unit-effort and abundance in New Zealand abalone (pāua, Haliotis iris) fisheries

2015 ◽  
Author(s):  
Edward R Abraham ◽  
Philipp Neubauer
Keyword(s):  
Spatial Scale ◽  
Spatial Information ◽  
Spatial Scales ◽  
Small Scale ◽  
Gps Data ◽  
Catch Per Unit Effort ◽  
Small Spatial Scale ◽  
Unit Effort ◽  
Data Loggers ◽  
Gps Data Loggers

Catch-per-unit-effort (CPUE) is commonly used as an index of abundance in fishery stock assessments, but CPUE may be misleading, as a number of global fishery collapses have been attributed to a hyper-stable CPUE. In abalone (Halitidae family) fisheries, CPUE at large spatial scales may be hyper-stable because of aggregating behaviour and serial-depletion, whereby fishers sequentially fish areas with no corresponding decline in CPUE. Obtaining detailed spatial information in abalone fisheries might mitigate this problem, allowing CPUE to be used more confidently in these fisheries. Here, we report on the use of newly-developed high-resolution Global Positioning System (GPS) data loggers in New Zealand's blacklip abalone (pāua, Haliotis iris) fisheries. Using these data loggers, we tested, via a fish-down experiment, if CPUE is a reliable indicator of abundance at a small spatial scale and over a period of months. In the experiment, hyper-stability at small spatial scales occurred at high abundance, but CPUE reflected the estimated depletion level at the end of experimental fishing. This experiment suggests that the GPS data loggers provide a promising avenue to track CPUE at a small spatial scale, and to assess spatial resource use in New Zealand's pāua fisheries.

scholarly journals The Eye in the Sky: Combined Use of Unmanned Aerial Systems and GPS Data Loggers for Ecological Research and Conservation of Small Birds

PLoS ONE ◽  
2012 ◽  
Vol 7 (12) ◽  
pp. e50336 ◽  
Author(s):  
Airam Rodríguez ◽  
Juan J. Negro ◽  
Mara Mulero ◽  
Carlos Rodríguez ◽  
Jesús Hernández-Pliego ◽  
...  
Keyword(s):  
Unmanned Aerial Systems ◽  
Gps Data ◽  
Ecological Research ◽  
Data Loggers ◽  
Combined Use ◽  
Gps Data Loggers ◽  
Aerial Systems

scholarly journals An analysis of movement patterns in mass casualty incident simulations

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Boris Tolg ◽  
Juergen Lorenz
Keyword(s):  
Relevant Information ◽  
Group Behavior ◽  
Mass Casualty Incident ◽  
Mass Casualty ◽  
Gps Data ◽  
Time Of Arrival ◽  
Treatment Area ◽  
Post Exercise ◽  
Data Loggers ◽  
Gps Data Loggers

Abstract Background Mass casualty incidents (MCI) such as train or bus crashes, explosions, collapses of buildings, or terrorist attacks result in rescue teams facing many victims and in huge challenges for hospitals. Simulations are performed to optimize preparedness for MCI. To maximize the benefits of MCI simulations, it is important to collect large amounts of information. However, a clear concept and standardization of a data-driven post-exercise evaluation and debriefing are currently lacking. Methods GPS data loggers were used to track the trajectories of patients, medics, and paramedics in two simulated MCI scenarios using real human actors. The distribution of patients over the treatment area and their time of arrival at the hospital were estimated to provide information on the quality of triage and for debriefing purposes. Results The results show the order in which patients have been treated and the time for the individual arrivals as an indicator for the triage performance. The distribution of patients at the accident area suggested initial confusion and unclear orders for the placement of patients with different grades of injury that can be used for post-exercise debriefing. The dynamics of movement directions allowed to detect group behavior during different phases of the MCI. Conclusions Results indicate that GPS data loggers can be used to collect precise information about the trajectories of patients and rescue teams at an MCI simulation without interfering with the realism of the simulation. The exact sequence of the deliverance of patients of different triage categories to their appropriate destinations can be used to evaluate team performance for post-exercise debriefing. Future MCI simulations are planned to validate the use of GPS loggers by providing “hot-debrief” immediately after the MCI simulation and to explore ways in which group detection can provide relevant information for post-exercise evaluations Trial registration Not applicable.

scholarly journals Homing Pigeons Only Navigate in Air with Intact Environmental Odours: A Test of the Olfactory Activation Hypothesis with GPS Data Loggers

PLoS ONE ◽  
2011 ◽  
Vol 6 (8) ◽  
pp. e22385 ◽  
Author(s):  
Anna Gagliardo ◽  
Paolo Ioalè ◽  
Caterina Filannino ◽  
Martin Wikelski
Keyword(s):  
Gps Data ◽  
Homing Pigeons ◽  
Data Loggers ◽  
Gps Data Loggers
Sign in / Sign up

Export Citation Format

Share Document