scholarly journals Thermal ecology and activity patterns of the lizard community of the Restinga of Jurubatiba, Macaé, RJ

2001 ◽  
Vol 61 (2) ◽  
pp. 287-294 ◽  
Author(s):  
F. H. HATANO ◽  
D. VRCIBRADIC ◽  
C. A. B. GALDINO ◽  
M. CUNHA-BARROS ◽  
C. F. D. ROCHA ◽  
...  
Keyword(s):  
Body Temperature ◽  
Rio De Janeiro ◽  
Activity Patterns ◽  
Early Morning ◽  
Thermal Ecology ◽  
Congeneric Species ◽  
Late Afternoon ◽  
Hemidactylus Mabouia ◽  
Environmental Temperatures

We analyzed the thermal ecology and activity patterns of the lizard community from the Restinga of Jurubatiba, Rio de Janeiro, Brazil. The broadest activity was that of Tropidurus torquatus, a sit-and-wait forager, while the active foraging teiid Cnemidophorus littoralis had the shortest activity. The nocturnal gekkonid Hemidactylus mabouia was found active during the day only during early morning and late afternoon, when environmental temperatures are low. Body temperature was highest for Cnemidophorus littoralis and lowest for the two Mabuya species. The patterns found here are discussed and compared to those of congeneric species in other habitats in Brazil.

Machine Learning for Recognizing Driving Patterns of Drivers of Large Commercial Trucks

2015 ◽  
Vol 2517 (1) ◽  
pp. 18-27 ◽  
Author(s):  
Chen Chen ◽  
Yuanchang Xie
Keyword(s):  
Machine Learning ◽  
Activity Patterns ◽  
Early Morning ◽  
Crash Risk ◽  
Late Afternoon ◽  
Duty Hours ◽  
Logistic Regression Models ◽  
Complementary Method ◽  
Driving Patterns ◽  
Rest Breaks

Commercial large truck crashes are more likely to involve fatalities and significant costs than passenger vehicle crashes are. To reduce fatigue-related crashes of large trucks caused by drivers' irregular work schedules, FMCSA has enforced hours-of-service rules to regulate the activities of drivers of commercial large trucks. The complex influence of drivers' multiday driving activity patterns on crash risk was examined with data collected from two national truckload carriers. A machine learning approach, k-means clustering, was used to classify large truck drivers into 10 clusters according to their 15-min driving activities over multiple days. Then, the crash risk and driving activity pattern were identified for each cluster. Discrete-time logistic regression models were used to quantify the relationships between driving activity patterns and crash risk. Results indicated that the driving pattern with the lowest crash risk could be daytime driving between 4:00 a.m. and noon, with rest breaks in the late afternoon (4:00 to 6:00 p.m.). Drivers with high proportions of afternoon on-duty time after a long off-duty period experienced significantly higher crash risk. A representative day concept is proposed as a complementary method to identify relationships between driving patterns and crash risk. Moreover, on-duty hours can be a useful indicator of crash risk for drivers of large trucks. High proportions of on-duty hours in the early morning and late afternoon often are associated with high crash risk.

scholarly journals Physical activity around the clock: objectively measured activity patterns in young children of the GECKO Drenthe cohort

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Rikstje Wiersma ◽  
Congchao Lu ◽  
Esther Hartman ◽  
Eva Corpeleijn
Keyword(s):  
Physical Activity ◽  
Young Children ◽  
Activity Patterns ◽  
Early Morning ◽  
Time Segment ◽  
Physically Active ◽  
Late Afternoon ◽  
Preventive Child Healthcare ◽  
Measured Activity ◽  
Definition Of

Abstract Background Given the widespread problem of physical inactivity, and the continued growth in prevalence of childhood and adolescent obesity, promotion of regular physical activity (PA) among young people has become a public priority. A greater understanding of children’s PA patterns throughout the day is needed to effectively encourage children to be more physically active. Hence this study looking at the distribution of PA in young children throughout the day and its relevance to overweight. Methods Accelerometers (ActiGraph GT3X, weartime > 600 min/day, ≥3 days) were used to measure the PA of 958 children (aged 5.7 ± 0.8 years, 52% boys) enrolled in the GECKO Drenthe cohort. Levels of sedentary time (ST), light PA (LPA) and moderate-to-vigorous PA (MVPA) were recorded throughout the day and analysed in segments (07:00–09:00, 09:00–12:00, 12:00–15:00, 15:00–18:00, 18:00–21:00). Body mass index was measured by Preventive Child Healthcare nurses and Cole’s (2012) definition of overweight was used. General linear mixed models, adjusted for age, sex and season, were used to analyse patterns of PA and ST throughout the day. Results Children were most sedentary in the early morning (07:00–09:00) and evening (18:00–21:00), and exhibited the most time spent engaged in LPA and MVPA in the afternoon (12:00–15:00) and late afternoon (15:00–18:00). The greatest inter-individual variation in ST, LPA and MVPA among the children occurred in the late afternoon and evening (approximately 40, 30 and 15 min difference per time segment between 25th and 75th percentile, respectively). The most active children (highest quartile of MVPA) were found to be more active and less sedentary throughout the entire day than the least active children (lowest quartile of MVPA). Furthermore, children with overweight were no less active than children without overweight. Conclusions At this young age, the relevance of different PA patterns to childhood overweight was minimal. Children were most active in the afternoon and late afternoon. To encourage PA in general, ST can be reduced and PA increased in the early morning and evening. Targeted PA interventions to specifically stimulate the least active children could take place in the late afternoon or evening.

Thermoregulation of the lizard Barisia imbricata at altitudinal extremes

2019 ◽  
Vol 40 (3) ◽  
pp. 349-360
Author(s):  
Natalia Fierro-Estrada ◽  
Yasmin Guadalupe González González ◽  
Donald B. Miles ◽  
Margarita Martínez Gómez ◽  
Andrés García ◽  
...  
Keyword(s):  
Body Temperature ◽  
Narrow Range ◽  
Thermal Ecology ◽  
Body Temperatures ◽  
Mean Body Temperature ◽  
Thermal Requirements ◽  
Air Temperatures ◽  
Preferred Temperatures ◽  
Environmental Temperatures ◽  
Two Populations

Abstract Ambient temperature is a primary factor affecting the physiology and activity of reptiles. Thermoregulation involves a series of mechanisms to maintain an organism’s body temperature within a narrow range. The study of thermal ecology of lizards is relevant for understanding their distribution, life history, ecology and thermal requirements. Moreover, determining how species are able to attain physiologically active body temperatures in challenging environments is necessary for assessing the risk of extinction due to climate change, especially for threatened endemic species. We evaluated and compared the thermal ecology of two populations of the viviparous lizard Barisia imbricata, at contrasting elevations (2200 and 3700 m). We obtained variation in thermal data from winter through autumn for multiple years. We determined thermal efficiency indices based on field active body temperatures, preferred temperatures (in a thermal gradient), and operative environmental temperatures (according to null models). We also recorded substrate and air temperatures at the time of capture. Mean body temperature of both populations showed a positive correlation with environmental temperatures. We found significant seasonal differences in body temperature in both populations, and between body temperatures of the two populations. Our results suggest that B. imbricata is an eurythermic species and can thermoregulate actively at any given time. However, when environmental temperatures are within the range of preferred temperatures, the species does not engage in thermoregulatory behavior. This information expands knowledge on the range of possible thermal responses to environmental variation within a species.

scholarly journals A refined method to monitor arousal from hibernation in the European hamster

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Fredrik A. F. Markussen ◽  
Vebjørn J. Melum ◽  
Béatrice Bothorel ◽  
David G. Hazlerigg ◽  
Valérie Simonneaux ◽  
...  
Keyword(s):  
Body Temperature ◽  
Core Body Temperature ◽  
Behavioural Adaptation ◽  
Ventilation Frequency ◽  
Reduced Body ◽  
Brown Adipose ◽  
Invasive Method ◽  
Warming Rate ◽  
Core Body ◽  
Environmental Temperatures

Abstract Background Hibernation is a physiological and behavioural adaptation that permits survival during periods of reduced food availability and extreme environmental temperatures. This is achieved through cycles of metabolic depression and reduced body temperature (torpor) and rewarming (arousal). Rewarming from torpor is achieved through the activation of brown adipose tissue (BAT) associated with a rapid increase in ventilation frequency. Here, we studied the rate of rewarming in the European hamster (Cricetus cricetus) by measuring both BAT temperature, core body temperature and ventilation frequency. Results Temperature was monitored in parallel in the BAT (IPTT tags) and peritoneal cavity (iButtons) during hibernation torpor-arousal cycling. We found that increases in brown fat temperature preceded core body temperature rises by approximately 48 min, with a maximum re-warming rate of 20.9℃*h-1. Re-warming was accompanied by a significant increase in ventilation frequency. The rate of rewarming was slowed by the presence of a spontaneous thoracic mass in one of our animals. Core body temperature re-warming was reduced by 6.2℃*h-1 and BAT rewarming by 12℃*h-1. Ventilation frequency was increased by 77% during re-warming in the affected animal compared to a healthy animal. Inspection of the position and size of the mass indicated it was obstructing the lungs and heart. Conclusions We have used a minimally invasive method to monitor BAT temperature during arousal from hibernation illustrating BAT re-warming significantly precedes core body temperature re-warming, informing future study design on arousal from hibernation. We also showed compromised re-warming from hibernation in an animal with a mass obstructing the lungs and heart, likely leading to inefficient ventilation and circulation.

scholarly journals Meals for two: foraging activity of the butterflyfish Chaetodon Striatus (perciformes) in southeast Brazil

2005 ◽  
Vol 65 (2) ◽  
pp. 211-215 ◽  
Author(s):  
R. M. Bonaldo ◽  
J. P. Krajewski ◽  
I. Sazima
Keyword(s):  
Benthic Invertebrates ◽  
Early Morning ◽  
Southeastern Brazil ◽  
Foraging Activity ◽  
Feeding Rates ◽  
Western Atlantic ◽  
Late Afternoon ◽  
Sea Floor ◽  
Rocky Reefs ◽  
Feeding Activities

The banded butterflyfish (Chaetodon striatus) from the tropical and subtropical western Atlantic is a territorial, diurnal forager on benthic invertebrates. It is usually seen moving singly or in pairs, a few meters above the sea floor. We studied the foraging activity of C. striatus on rocky reefs in southeastern Brazil. This fish spent about 11 h and 30 min per day on feeding activities, and preferred colonies of non-scleratinian anthozoans over sandy and rocky substrata while foraging. The lowest feeding rates were recorded in the early morning and late afternoon, but we found no further differences between feeding rates throughout the day. We also found no differences between the feeding rates of paired and single individuals.

scholarly journals Seasonal Variation of the Diurnal Cycle of Rainfall in Southern Contiguous China

2008 ◽  
Vol 21 (22) ◽  
pp. 6036-6043 ◽  
Author(s):  
Jian Li ◽  
Rucong Yu ◽  
Tianjun Zhou
Keyword(s):  
Seasonal Variation ◽  
Diurnal Cycle ◽  
Radiative Forcing ◽  
Early Morning ◽  
Rain Gauge ◽  
Rainfall Events ◽  
Late Afternoon ◽  
Long Duration ◽  
China Region ◽  
Afternoon Peak

Abstract Hourly station rain gauge data are employed to study the seasonal variation of the diurnal cycle of rainfall in southern contiguous China. The results show a robust seasonal variation of the rainfall diurnal cycle, which is dependent both on region and duration. Difference in the diurnal cycle of rainfall is found in the following two neighboring regions: southwestern China (region A) and southeastern contiguous China (region B). The diurnal cycle of annual mean precipitation in region A tends to reach the maximum in either midnight or early morning, while precipitation in region B has a late-afternoon peak. In contrast with the weak seasonal variation of the diurnal phases of precipitation in region A, the rainfall peak in region B shifts sharply from late afternoon in warm seasons to early morning in cold seasons. Rainfall events in south China are classified into short- (1–3 h) and long-duration (more than 6 h) events. Short-duration precipitation in both regions reaches the maximum in late afternoon in warm seasons and peaks in either midnight or early morning in cold seasons, but the late-afternoon peak in region B exists during February–October, while that in region A only exists during May–September. More distinct differences between regions A and B are found in the long-duration rainfall events. The long-duration events in region A show dominant midnight or early morning peaks in all seasons. But in region B, the late-afternoon peak exists during July–September. Possible reasons for the difference in the diurnal cycle of rainfall between the two regions are discussed. The different cloud radiative forcing over regions A and B might contribute to this difference.

scholarly journals Vertical segregation of two species of Hyphessobrycon(Characiformes: Characidae) in the Cabiúnas coastal lagoon, southeastern Brazil

2008 ◽  
Vol 6 (4) ◽  
pp. 683-688 ◽  
Author(s):  
Sergio M. Q. Lima ◽  
André A. Cunha ◽  
Jorge I. Sánchez-Botero ◽  
Érica P. Caramaschi
Keyword(s):  
Water Column ◽  
Coastal Lagoon ◽  
Rio De Janeiro ◽  
Predation Pressure ◽  
Southeastern Brazil ◽  
Congeneric Species ◽  
Nutrient Distribution ◽  
Vertical Segregation ◽  
Macrophyte Cover

Segregation in the use of the water column by two congeneric species of Characidae, Hyphessobrycon bifasciatus and H. luetkenii, was investigated through underwater observations in the Cabiúnas coastal lagoon in northeastern Rio de Janeiro, Brazil. The use of the water column by the two species differed significantly. Hyphessobrycon luetkenii occupied mainly the uppermost stratum, with 79% of the observations within 20 cm of the surface; whereas H. bifasciatus was more common between 20 cm and 40 cm below the surface (55% of the observations). Predation pressure, macrophyte cover and nutrient distribution may influence this vertical segregation.

scholarly journals Predation Record of Tropical House Gecko (Hemidactylus mabouia) (Reptilia: Squamata: Gekkonidae) by Guira Cuckoo (Guira guira) (Aves: Cuculiformes: Cuculidae) in the Region of Arraial do Cabo, East Coast of Rio de Janeiro State, Brazil

OALib ◽  
2019 ◽  
Vol 06 (03) ◽  
pp. 1-5
Author(s):  
Marcelo Tardelli Rodrigues ◽  
Rodrigo Cumplido ◽  
David Steinwender ◽  
David Braga Quintanilha ◽  
Ubirajara Goncalves de Melo Junior ◽  
...  
Keyword(s):  
Rio De Janeiro ◽  
East Coast ◽  
Hemidactylus Mabouia ◽  
Janeiro State

Spot on: using camera traps to individually monitor one of the world’s largest lizards

2020 ◽  
Vol 47 (4) ◽  
pp. 326 ◽  
Author(s):  
Harry A. Moore ◽  
Jacob L. Champney ◽  
Judy A. Dunlop ◽  
Leonie E. Valentine ◽  
Dale G. Nimmo
Keyword(s):  
Activity Patterns ◽  
Image Data ◽  
Dorsal Surface ◽  
Camera Trap ◽  
Camera Traps ◽  
Identification Accuracy ◽  
Individual Identification ◽  
Lizard Species ◽  
Late Afternoon ◽  
Large Animals

Abstract ContextEstimating animal abundance often relies on being able to identify individuals; however, this can be challenging, especially when applied to large animals that are difficult to trap and handle. Camera traps have provided a non-invasive alternative by using natural markings to individually identify animals within image data. Although camera traps have been used to individually identify mammals, they are yet to be widely applied to other taxa, such as reptiles. AimsWe assessed the capacity of camera traps to provide images that allow for individual identification of the world’s fourth-largest lizard species, the perentie (Varanus giganteus), and demonstrate other basic morphological and behavioural data that can be gleaned from camera-trap images. MethodsVertically orientated cameras were deployed at 115 sites across a 10000km2 area in north-western Australia for an average of 216 days. We used spot patterning located on the dorsal surface of perenties to identify individuals from camera-trap imagery, with the assistance of freely available spot ID software. We also measured snout-to-vent length (SVL) by using image-analysis software, and collected image time-stamp data to analyse temporal activity patterns. ResultsNinety-two individuals were identified, and individuals were recorded moving distances of up to 1975m. Confidence in identification accuracy was generally high (91%), and estimated SVL measurements varied by an average of 6.7% (min=1.8%, max=21.3%) of individual SVL averages. Larger perenties (SVL of >45cm) were detected mostly between dawn and noon, and in the late afternoon and early evening, whereas small perenties (SVL of <30cm) were rarely recorded in the evening. ConclusionsCamera traps can be used to individually identify large reptiles with unique markings, and can also provide data on movement, morphology and temporal activity. Accounting for uneven substrates under cameras could improve the accuracy of morphological estimates. Given that camera traps struggle to detect small, nocturnal reptiles, further research is required to examine whether cameras miss smaller individuals in the late afternoon and evening. ImplicationsCamera traps are increasingly being used to monitor reptile species. The ability to individually identify animals provides another tool for herpetological research worldwide.

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