Activity budgets for the sedentary Argentine sea bassAcanthistius patachonicusinferred from accelerometer data loggers

2018 ◽  
Vol 44 (3) ◽  
pp. 397-408 ◽  
Author(s):  
Lucas E. Beltramino ◽  
Leonardo A. Venerus ◽  
Gastón A. Trobbiani ◽  
Rory P. Wilson ◽  
Javier E. Ciancio
Keyword(s):  
Accelerometer Data ◽  
Activity Budgets ◽  
Argentine Sea ◽  
Data Loggers

scholarly journals From a calf’s perspective: humpback whale nursing behavior on two US feeding grounds

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8538 ◽  
Author(s):  
Jennifer E. Tackaberry ◽  
David E. Cade ◽  
Jeremy A. Goldbogen ◽  
David N. Wiley ◽  
Ari S. Friedlaender ◽  
...  
Keyword(s):  
Humpback Whale ◽  
Humpback Whales ◽  
Accelerometer Data ◽  
Mixed Effect ◽  
Mixed Effect Models ◽  
Data Loggers ◽  
Overall Dynamic Body Acceleration ◽  
Close Temporal Proximity ◽  
Feeding Grounds

Nursing influences growth rate and overall health of mammals; however, the behavior is difficult to study in wild cetaceans because it occurs below the surface and can thus be misidentified from surface observations. Nursing has been observed in humpback whales on the breeding and calving grounds, but the behavior remains unstudied on the feeding grounds. We instrumented three dependent calves (four total deployments) with combined video and 3D-accelerometer data loggers (CATS) on two United States feeding grounds to document nursing events. Two associated mothers were also tagged to determine if behavior diagnostic of nursing was evident in the mother’s movement. Animal-borne video was manually analyzed and the average duration of successful nursing events was 23 s (±7 sd, n = 11). Nursing occurred at depths between 4.1–64.4 m (along the seafloor) and in close temporal proximity to foraging events by the mothers, but could not be predicted solely by relative positions of mother and calf. When combining all calf deployments, successful nursing was documented eleven times; totaling only 0.3% of 21.0 hours of video. During nursing events, calves had higher overall dynamic body acceleration (ODBA) and increased fluke-stroke rate (FSR) compared to non-nursing segments (Mixed effect models, ODBA: F1,107 = 13.57756, p = 0.0004, FSR: F1,107 = 32.31018, p < 0.0001). In contrast, mothers had lower ODBA and reduced FSR during nursing events compared to non-nursing segments. These data provide the first characterization of accelerometer data of humpback whale nursing confirmed by animal-borne video tags and the first analysis of nursing events on feeding grounds. This is an important step in understanding the energetic consequences of lactation while foraging.

Biologging in combination with biotelemetry reveals behavior of Atlantic salmon following exposure to capture and handling stressors

2019 ◽  
Vol 76 (12) ◽  
pp. 2176-2183
Author(s):  
Robert J. Lennox ◽  
Jacqueline M. Chapman ◽  
William M. Twardek ◽  
Franziska Broell ◽  
Kristin Bøe ◽  
...  
Keyword(s):  
Locomotor Activity ◽  
Atlantic Salmon ◽  
Null Model ◽  
Control Fish ◽  
Control Group ◽  
Sample Population ◽  
Accelerometer Data ◽  
Air Exposure ◽  
Data Loggers ◽  
Total Body

We investigated the response of Atlantic salmon (Salmo salar) to capture and handling stressors by analyzing fine-scale locomotor activity using accelerometer data loggers and broader-scale movements by tracking migration with radiotelemetry. Half the sample population was exposed to experimental exercise and air exposure and released with a control group to simulate fisheries handling. All but two of the surviving fish (both in the treatment group) returned to the counting fence to resume the 2016 spawning migration (survival = 86%–91%). There were no differences in postrelease locomotor activity, measured by an index of total body action (jerk), between control and treatment salmon (p = 0.81). Comparison of mean time to return to the counting fence against a null model revealed that treatment salmon were significantly delayed in returning to the counting fence (p < 0.01), whereas control fish were not (p = 0.24). Both the abiotic environment and human interactions influenced locomotor activity of the migratory fish and synchrony of the migration with untreated conspecifics.

Effects of attached data-loggers on the activity budgets of captive Humboldt penguins

Zoo Biology ◽  
2002 ◽  
Vol 21 (4) ◽  
pp. 365-373 ◽  
Author(s):  
Alejandro Simeone ◽  
Rory P. Wilson ◽  
Gabriele Knauf ◽  
Werner Knauf ◽  
Jeannine Schützendübe
Keyword(s):  
Activity Budgets ◽  
Data Loggers

scholarly journals What Are Sheep Doing? Tri-Axial Accelerometer Sensor Data Identify the Diel Activity Pattern of Ewe Lambs on Pasture

Sensors ◽  
2021 ◽  
Vol 21 (20) ◽  
pp. 6816
Author(s):  
Seer J. Ikurior ◽  
Nelly Marquetoux ◽  
Stephan T. Leu ◽  
Rene A. Corner-Thomas ◽  
Ian Scott ◽  
...  
Keyword(s):  
Animal Health ◽  
Sensor Data ◽  
Diel Activity ◽  
Parasitic Nematodes ◽  
Accelerometer Data ◽  
Triaxial Accelerometer ◽  
Activity Budgets ◽  
Accelerometer Sensor ◽  
Ewe Lambs ◽  
The Impact

Monitoring activity patterns of animals offers the opportunity to assess individual health and welfare in support of precision livestock farming. The purpose of this study was to use a triaxial accelerometer sensor to determine the diel activity of sheep on pasture. Six Perendale ewe lambs, each fitted with a neck collar mounting a triaxial accelerometer, were filmed during targeted periods of sheep activities: grazing, lying, walking, and standing. The corresponding acceleration data were fitted using a Random Forest algorithm to classify activity (=classifier). This classifier was then applied to accelerometer data from an additional 10 ewe lambs to determine their activity budgets. Each of these was fitted with a neck collar mounting an accelerometer as well as two additional accelerometers placed on a head halter and a body harness over the shoulders of the animal. These were monitored continuously for three days. A classification accuracy of 89.6% was achieved for the grazing, walking and resting activities (i.e., a new class combining lying and standing activity). Triaxial accelerometer data showed that sheep spent 64% (95% CI 55% to 74%) of daylight time grazing, with grazing at night reduced to 14% (95% CI 8% to 20%). Similar activity budgets were achieved from the halter mounted sensors, but not those on a body harness. These results are consistent with previous studies directly observing daily activity of pasture-based sheep and can be applied in a variety of contexts to investigate animal health and welfare metrics e.g., to better understand the impact that young sheep can suffer when carrying even modest burdens of parasitic nematodes.

Improving Attachments of Non-Invasive (Type 3) Electronic Data Loggers to Cetaceans

2012 ◽  
Author(s):  
Michael Moore ◽  
Alex Shorter ◽  
Tom Hurst ◽  
Alessandro Bocconcelli ◽  
Mark Johnson ◽  
...  
Keyword(s):  
Electronic Data ◽  
Non Invasive ◽  
Data Loggers ◽  
Type 3

Nutrient Losses and N & P Balances in Small Agricultural Watersheds in Estonia

2003 ◽  
Vol 34 (5) ◽  
pp. 531-542 ◽  
Author(s):  
Arvo lital ◽  
Enn Loigu ◽  
Nils Vagstad
Keyword(s):  
Water Quality Monitoring ◽  
Agricultural Watersheds ◽  
Agricultural Practice ◽  
Nutrient Losses ◽  
Nutrient Balances ◽  
Nitrogen And Phosphorus ◽  
Nutrient Runoff ◽  
Baltic Countries ◽  
Data Loggers ◽  
Runoff Regime

The paper deals with nutrient runoff monitoring results and calculated nutrient budgets on catchment level in small agricultural watersheds in Estonia. A special programme for monitoring of nutrient losses was initiated and a network of monitoring stations, equipped with data-loggers and suitable devices for continuous flow measurement and flow-proportional automatic water sampling were established in Estonia in the mid-1990s. The research methodology is harmonized with the Nordic countries as well as with the other Baltic countries. The results indicate that nutrients losses are relatively low (generally below 11 kg N/ha and 0.9 kg P/ha). It can be partly explained by drastic changes in the Estonian agricultural practice in the 1990s but also by differences in runoff regime. Nutrient balances were calculated for two catchments, based on the data collected from the farms, some special studies and water quality monitoring results in two watersheds in 1995 (1999) - 2001. The nutrient balances for the catchments turned positive after being negative both for nitrogen and phosphorus in the mid-1990s.

The Effect of Sensor Placement and Number on Physical Activity Recognition and Energy Expenditure Estimation (Preprint)

2020 ◽  
Author(s):  
Anis Davoudi ◽  
Mamoun T. Mardini ◽  
Dave Nelson ◽  
Fahd Albinali ◽  
Sanjay Ranka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Energy Expenditure ◽  
Activity Recognition ◽  
Recognition Accuracy ◽  
Body Position ◽  
Computer Work ◽  
Accelerometer Data ◽  
Upper Arm ◽  
Lifestyle Activities

BACKGROUND Research shows the feasibility of human activity recognition using Wearable accelerometer devices. Different studies have used varying number and placement for data collection using the sensors. OBJECTIVE To compare accuracy performance between multiple and variable placement of accelerometer devices in categorizing the type of physical activity and corresponding energy expenditure in older adults. METHODS Participants (n=93, 72.2±7.1 yrs) completed a total of 32 activities of daily life in a laboratory setting. Activities were classified as sedentary vs. non-sedentary, locomotion vs. non-locomotion, and lifestyle vs. non-lifestyle activities (e.g. leisure walk vs. computer work). A portable metabolic unit was worn during each activity to measure metabolic equivalents (METs). Accelerometers were placed on five different body positions: wrist, hip, ankle, upper arm, and thigh. Accelerometer data from each body position and combinations of positions were used in developing Random Forest models to assess activity category recognition accuracy and MET estimation. RESULTS Model performance for both MET estimation and activity category recognition strengthened with additional accelerometer devices. However, a single accelerometer on the ankle, upper arm, hip, thigh, or wrist had only a 0.03 to 0.09 MET increase in prediction error as compared to wearing all five devices. Balanced accuracy showed similar trends with slight decreases in balanced accuracy for detection of locomotion (0-0.01 METs), sedentary (0.13-0.05 METs) and lifestyle activities (0.08-0.04 METs) compared to all five placements. The accuracy of recognizing activity categories increased with additional placements (0.15-0.29). Notably, the hip was the best single body position for MET estimation and activity category recognition. CONCLUSIONS Additional accelerometer devices only slightly enhance activity recognition accuracy and MET estimation in older adults. However, given the extra burden of wearing additional devices, single accelerometers with appropriate placement appear to be sufficient for estimating energy expenditure and activity category recognition in older adults.

Introduction

2017 ◽  
Author(s):  
M.G.L. Mills ◽  
M.E.J. Mills
Keyword(s):  
South Africa ◽  
Arid Region ◽  
Statistical Tests ◽  
Distribution Range ◽  
Individual Identification ◽  
Behavioural Ecology ◽  
Main Study ◽  
Doubly Labelled Water ◽  
Data Loggers ◽  
Prime Objective

Most cheetah studies have been confined to mesic savannahs, yet much of its distribution range covers arid systems. The prime objective in this study was to examine the species’ adaptations to an arid region, to compare the results with those from other cheetah studies, especially from the Serengeti, and to analyse the data within the framework of carnivore population and behavioural ecology. The study was conducted in the Kgalagadi Transfrontier Park South Africa/Botswana, an area receiving 180–250 mm rainfall per year. Tracking spoor with the help of Bushmen trackers and continuous follows of 21 VHF radio-collared cheetahs were the main study methods used. These were supported by photographic records for individual identification, DNA studies for genetic aspects including paternity, and the use of doubly labelled water and the fitting of miniature data loggers for energetic studies. The statistical tests used to analyse the data are described.

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