Daily Activity Patterns Research Articles

Mesocarnivores activity patterns in the Northern Colombian Andes

Temporal segregation plays an important role as a coexistence mechanism between potentially competing and closely related species, especially in species with similar morphology and ecological requirements, such as mesocarnivores. This study investigates the temporal niche ecology of mesocarnivores coexisting in the southeastern Aburrá Valley, northern Colombian Andes. Specifically, this study i) evaluated the daily activity patterns of six mesocarnivore species, ii) analyzed the influence of the lunar cycle on the activity patterns of nocturnal species, iii) estimated the temporal overlap between pairs of mesocarnivores, and iv) estimated the functional similarities of these species. We hypothesized that mesocarnivores with similar functional traits exhibit greater temporal niche segregation, thus showing low overlap in their activity patterns to reduce competition. We used data from tracking cameras (10,744 camera-days) and estimated daily activity patterns using Kernel density analysis, non-negative trigonometric summation, and overlap analysis with the Overlap package in R. Also, lunar influence was evaluated using circular statistics in the software Oriana 4.02. Functional similarity was analyzed by similarity clustering using Jaccard's index in PAST. Nine species were recorded; six were included in the analyses of daily activity patterns. Activity patterns were not uniform throughout the circadian cycle. Cerdocyon thous, Leopardus tigrinus, and Nasuella olivacea showed mainly nocturnal activity, while Eira barbara, Nasua nasua, and Neogale frenata displayed a diurnal activity pattern. Only Leopardus tigrinus showed significant activity related to the lunar cycle. The activity overlap between pairs of species was variable, with a tendency to a low overlap, showing a high ecological similarity between species. This study represents the first estimate of the activity patterns of mesocarnivore species in the southeastern Aburrá Valley. The observed activity patterns are similar to those reported in other works. Species with high overlap showed ecological differences, especially in size and diet. The low number of records for some species may be associated with poor detectability but also with low abundance as a result of urban development and anthropogenic disturbance (e. g., roadkills). Our results suggest that temporal segregation contributes to mediating intra-gremial interactions and coexistence between sympatric and potentially competing species. These results will hopefully contribute to the knowledge of the ecology of mesocarnivores, mainly in ecosystems surrounding large cities in the northern Andes.

Spatial and temporal coexistence of medium-sized felines and their potential preys in Sierra Madre del Sur of Guerrero, México

Two species of similar size and trophic niche could not coexist in the same space and time unless the resources are diverse, abundant, and can be shared. In the Sierra Madre del Sur, Guerrero, Mexico, three felines of similar size coexist, Herpailurus yagouaroundi, Leopardus pardalis, and Leopardus wiedii. The objective of this research was to identify the spatiotemporal patterns that allow the coexistence of three felines and their potential preys, as well as to evaluate how the presence of humans and livestock influence their use of space and time. We hypothesized that the three felines coexist due to a differential use of time and space. Therefore, low or moderate overlap is expected, as well as a positive relationship with prey richness but negative regarding the presence of humans and livestock. Between 2009 and 2019, information was obtained on how the three feline species and their potential prey use time and space in eight landscapes with wide environmental variation using camera trapping. With a total sampling effort of 27,014 days/trap in 1,170 km2, 362 independent records of felids and 2,287 of 12 potential preys were obtained. Overlap in daily activity patterns (Δ) was estimated, and spatial co-occurrence was calculated using epsilon (Ɛ) values. Our results show that jaguarundi displayed a diurnal activity pattern and had an overlap of Δ = 0.22 with ocelot and Δ = 0.26 with margay; ocelot and margay were nocturnal with an activity overlap of Δ = 0.87. The spatial co-occurrence between the three felid species was positive: Ɛ = 2.61 between ocelot and margay, Ɛ = 3.22 between ocelot and jaguarundi; and Ɛ = 6 between jaguarundi and margay. The temporal overlap and spatial co-occurrence among felines showed a similar use of resources, and their distribution coincide with the one of some of their potential preys, may be related to predation strategies. Temporal overlap and spatial co-occurrence alone do not limit the coexistence of species; but the environmental differences of the landscapes do influence the variation and temporal dynamics of the felines studied in the Sierra Madre del Sur de Guerrero.

Identifying the sociodemographic and work-related factors related to workers’ daily physical activity using a decision tree approach

BackgroundThe social and behavioural factors related to physical activity among adults are well known. Despite the overlapping nature of these factors, few studies have examined how multiple predictors of physical activity interact. This study aimed to identify the relative importance of multiple interacting sociodemographic and work-related factors associated with the daily physical activity patterns of a population-based sample of workers.MethodsSociodemographic, work, screen time, and health variables were obtained from five, repeated cross-sectional cohorts of workers from the Canadian Health Measures Survey (2007 to 2017). Classification and Regression Tree (CART) modelling was used to identify the discriminators associated with six daily physical activity patterns. The performance of the CART approach was compared to a stepwise multinomial logistic regression model.ResultsAmong the 8,909 workers analysed, the most important CART discriminators of daily physical activity patterns were age, job skill, and physical strength requirements of the job. Other important factors included participants’ sex, educational attainment, fruit/vegetable intake, industry, work hours, marital status, having a child living at home, computer time, and household income. The CART tree had moderate classification accuracy and performed marginally better than the stepwise multinomial logistic regression model.ConclusionAge and work-related factors–particularly job skill, and physical strength requirements at work–appeared as the most important factors related to physical activity attainment, and differed based on sex, work hours, and industry. Delineating the hierarchy of factors associated with daily physical activity may assist in targeting preventive strategies aimed at promoting physical activity in workers.

Flying Activity of Apis cerana Honey Bee at Surouding Hive Area in Central Sulawesi

Information on foraging activity is important for efforts to increase the productivity of Apis cerana honeybees. Honey bees flying activities are carried out in the context of nest guarding activities from enemy attacks, removing feces from the nest, and foraging which takes place during the day to collect pollen and nectar from plants. This study aims to analyze the daily activity patterns of bees A. cerana which is influenced by environmental factors. This study used two colonies of A. cerana, namely colony one and colony two with the same colony size. The observed behaviors were bees leaving the nest, entering with pollen, and entering without pollen. The number of A. cerana colony one flying for pollen was high in the morning and low in the afternoon due to the very high light intensity during the day. Unlike colony one, A. cerana colony two did not actively perform flight activities and showed a different activity of flying in front of the nest forming a crowd in the afternoon. An inflorescence calendar needs to be developed to determine the flowering period of plants around the hive so that bee forage is continuously available to avoid absconding. absconding. Identification of plant pollen as a source of bee food needs to be done to determine the types of plants utilized by bees.

Detailed descriptions of physical activity patterns among individuals with diabetes and prediabetes: the Lolland-Falster Health Study

IntroductionThis study aimed to describe objectively measured physical activity patterns, including daily activity according to day type (weekdays and weekend days) and the four seasons, frequency, distribution, and timing of...

The pregnancy research on inflammation, nutrition, & city environment: systematic analyses study (PRINCESA) cohort, 2009-2015.

The Pregnancy Research on Inflammation, Nutrition, & City Environment: Systematic Analyses Study (PRINCESA) cohort was set up to evaluate associations between air pollution and birth outcomes among pregnant persons in Mexico City. Specifically, the study was designed to improve air pollution exposure assessment and elucidate biological mechanisms underlying associations between maternal exposures and adverse pregnancy outcomes. Pregnant persons (all women) (N = 935) between ages 18-45 who lived and/or worked in metropolitan Mexico City, Mexico, from 2009 to 2015 and liveborn singleton infants (N = 815) of participants who completed follow-up were enrolled in the cohort. We followed participants monthly from enrollment to delivery and the following categories of data were obtained: demographic, medical and obstetric history, geo-referenced data, repeated measures on daily activity patterns, reported food intake, anthropometric, clinical and obstetric data, 20 serum and 20 cervicovaginal cytokines, and lower reproductive tract infection. Repeated ultrasound measures of fetal parameters and infant birth data are also included in the study's database. In addition, PRINCESA investigators calculated air pollution exposure measures for six pollutants measured by the Mexico City Atmospheric Monitoring System (SIMAT). These estimates utilize participants' addresses to account for spatial variation in exposure (nearest monitor, inverse distance weighting, and kriging) and are available daily during pregnancy for participants. To date, associations between environmental and nutritional impacts on maternal and child health outcomes have been evaluated. PRINCESA has a comprehensive database of maternal and infant data and biological samples and offers collaboration opportunities to study associations between environmental and other factors, including nutrition and pregnancy outcomes.

Tick‐tock… says the moon and the sun: Daily activity patterns of mid‐large‐sized mammals in grassland‐dominated landscapes afforested withEucalyptus

AbstractSpecies can change their activity patterns in response to biotic and abiotic factors, such as sunlight and moonlight. The influence of these variables is a key question for ecological research and biodiversity conservation. The conversion of natural grasslands into tree plantations has reached high levels in temperate South America. These novel ecosystems elicit behavioural changes that can be detrimental or beneficial to wildlife. In this research, we describe the activity patterns of mammals (mid and large‐sized) during sun and lunar phases using camera trap data (2015–2021; 22 926 camera/nights) to assess the effects of the season (warm and cold), habitat type (native forests, grasslands,Eucalyptusplantations) and landscape afforestation degree (10%–90%) in eight landscape samples (5 km radius) at Uruguayan grasslands. This represents the first study of temporal patterns in grassland afforestation worldwide, and concerning solar time and lunar patterns in Uruguay. Across 257 camera trap stations, 5297 independent detections of 13 species were recorded. While there were no significant differences among seasons nor through a landscape gradient of afforestation cover, the local habitat type affected most species temporal niches, finding significant differences between native ecosystems andEucalyptusplantations, despite their close spatial proximity. Cathemeral and nocturnal activity patterns were seen for 12 species, and nine showed lunarphobic or lunarphilic trends according to habitat cover. In tree plantations, five of seven species narrowed their temporal activity compared to native habitats, and four changed their nocturnal activity. These alterations showed that several species adjust their daily activity patterns according to sun and moon phases underEucalyptusplantations, probably reacting to changes in predation risk, hunting pressure, or foraging opportunities. Given that afforestation is projected to grow in southern South America, we must improve our understanding of how species adjust their activities in such novel ecosystems to identify measures needed to increase their conservation opportunities.

Gender difference in the effects of chronic diseases on daily physical activity patterns in older adults: analysis of objectively measured physical activity in NHATS 2021

PurposeMany chronic diseases have detrimental impact on the physical activity (PA) patterns of older adults. Often such diseases have different degrees of severity in males and females. Quantifying this gender difference would not only enhance our understanding of diseases but would also help design individual-specific PA interventions, thereby improving health outcomes for both genders. MethodsPA data for 747 participants from round 11 (2021) of the National Health and Aging Trends Study were analyzed. Multilevel functional regression models were used to study gender difference in the effects of chronic diseases on daily PA patterns while adjusting for confounders. ResultsFemales with dementia (or Alzheimer’s disease), hypertension, heart and lung disease had lower PA at different times of day compared to females without these diseases, whereas males with and without these diseases had comparable daily PA. Males with diabetes had higher midnight PA and lower noon PA compared to males without diabetes, while females’ PA with and without diabetes were similar. ConclusionsOur analysis demonstrates that although for most diseases, the daily PA patterns of individuals with the disease are negatively altered compared to healthy individuals, the extent of decline varies by gender and time of day. Designing personalized physical activity interventions considering gender and diurnal PA pattern can potentially improve quality of life across both genders.

Regulation of mouse exploratory behaviour by irradiance and cone-opponent signals

BackgroundAnimal survival depends on the ability to adjust behaviour according to environmental conditions. The circadian system plays a key role in this capability, with diel changes in the quantity (irradiance) and spectral content (‘colour’) of ambient illumination providing signals of time-of-day that regulate the timing of rest and activity. Light also exerts much more immediate effects on behaviour, however, that are equally important in shaping daily activity patterns. Hence, nocturnal mammals will actively avoid light and dramatically reduce their activity when light cannot be avoided. The sensory mechanisms underlying these acute effects of light are incompletely understood, particularly the importance of colour.ResultsTo define sensory mechanisms controlling mouse behaviour, we used photoreceptor-isolating stimuli and mice with altered cone spectral sensitivity (Opn1mwR), lacking melanopsin (Opn1mwR; Opn4−/−) or cone phototransduction (Cnga3−/−) in assays of light-avoidance and activity suppression. In addition to roles for melanopsin-dependent irradiance signals, we find a major influence of spectral content in both cases. Hence, remarkably, selective increases in S-cone irradiance (producing a blue-shift in spectrum replicating twilight) drive light-seeking behaviour and promote activity. These effects are opposed by signals from longer-wavelength sensitive cones, indicating a true spectrally-opponent mechanism. Using c-Fos-mapping and multielectrode electrophysiology, we further show these effects are associated with a selective cone-opponent modulation of neural activity in the key brain site implicated in acute effects of light on behaviour, the subparaventricular zone.ConclusionsCollectively, these data reveal a mechanism whereby blue-shifts in the spectrum of environmental illumination, such as during twilight, promote mouse exploratory behaviour.

The Association Between Ankle-Brachial Index and Daily Patterns of Physical Activity: Results From the Hispanic Community Health Study/Study of Latinos.

Peripheral artery disease (PAD) is associated with lower physical activity but less is known about its association with daily patterns of activity. We examined the cross-sectional association between ankle-brachial index (ABI) and objectively measured patterns of physical activity among Hispanic/Latino adults. We analyzed data from 7 688 participants (aged 45-74 years) in the Hispanic Community Health Study/Study of Latinos. ABI was categorized as low (≤0.90, indicating PAD), borderline low (0.91-0.99), normal (1.00-1.40), and high (>1.40, indicating incompressible ankle arteries). Daily physical activity metrics derived from accelerometer data included: log of total activity counts (LTAC), total log-transformed activity counts (TLAC), and active-to-sedentary transition probability (ASTP). Average differences between ABI categories in physical activity, overall and by 4-hour time-of-day intervals, were assessed using linear regression and mixed-effects models, respectively. In Hispanic/Latino adults, 5.3% and 2.6% had low and high ABIs, respectively. After adjustment, having a low compared to a normal ABI was associated with lower volume (LTAC = -0.13, p < .01; TLAC = -74.4, p = .04) and more fragmented physical activity (ASTP = 1.22%, p < .01). Having a low ABI was linked with more fragmented physical activity after 12 pm (p < .01). Having a high ABI was associated with lower volumes of activity (TLAC = -132.0, p = .03). Having a low or high ABI is associated with lower and more fragmented physical activity in Hispanic/Latino adults. In adults with low ABI, physical activity is more fragmented in the afternoon to evening. Longitudinal research is warranted to expand these findings to guide targeted interventions for PAD or incompressible ankle arteries.

Activity patterns of the Yellow-throated marten Martes flavigula in the Far East of Russia revealed by camera traps

Abstract The Yellow-throated marten Martes flavigula is one of the least studied species within the genus Martes and there is contradictory information regarding its daily activity, spanning from diurnal to nocturnal or cathemeral. Our long-term studies of the daily and seasonal activity of the Yellow-throated marten were carried out in five protected areas of Primorsky Krai (Russian Far East) using a large-scale network of camera traps from 2010 to 2021. The aim of the study was to find out the pattern of daily activity of the species, its changes over the seasons and in different territories of the region. We found that the Yellow-throated marten had a pronounced diurnal activity pattern, including one or two detection peaks per day. The species is less active at dusk and almost inactive at night in this part of its range. Two clusters with different patterns of marten activity were identified in the protected areas of Primorsky Krai: with one pronounced peak around noon in the continental part with a more severe climate and smoothed activity in coastal areas with milder climatic conditions. Seasonal detection has two peaks in April-May and October, which corresponds to species biological requirements.

Daily activity of threatened canopy mammals in a private protected natural area of tropical southeastern Mexico

Private conservation areas (PCA) are a complementary resource that can be used to favor the conservation of mammals in tropical regions of the world. However, their reduced extent can exert a differential influence on the behavior of the species present, and ultimately affect their coexistence. We investigated the daily activity patterns of canopy mammals during the rainy season of 2016 in a 100 ha PCA in tropical forest. To record activity, 11 camera traps were set up in trees at 15 m above ground level. Sciurus deppei was the only diurnal mammal recorded. Potos flavus was more active around midnight, while Caluromys derbianus and Coendou mexicanus were active before (21:00 to 23:00 h) and after midnight (01:00 to 04:00 h). Tamandua mexicana and Didelphis marsupialis were active throughout the night. The nocturnal mammals showed great overlap in their hours of activity. Overall, there was no difference in activity patterns of canopy mammals in this small PCA compared to those reported in larger protected natural areas. The highest number of records occurred in the tallest trees located in the highest and best-conserved parts of the study area, suggesting the importance of forested PCA to the conservation of canopy mammals.

Exploring intra-urban human mobility and daily activity patterns from the lens of dockless bike-sharing: A case study of Beijing, China

In recent years, the emergence of dockless bike-sharing has brought new ways of transportation, while also providing support for observing urban dynamics at a finer granularity. This study uses dockless bike-sharing data, combined with point of interest (POI) data, to explore intra-urban human mobility and daily activity patterns, using Beijing as a case study. Here, we employ spatial statistics and graph network to quantify the characteristics of travel behavior. Firstly, spatiotemporal statistics analysis was conducted to investigate the travel patterns and spatiotemporal differences of bike-sharing in Beijing. It was found that bike trips have clear peak hours and highly overlap with the subway lines, indicating that the bike-sharing system effectively completes the ‘last mile’ of travel in Beijing. Secondly, graph networks were used to reveal the core patterns and community structures of human mobility in Beijing and their connections to daily activities. Our findings indicate that there are different core structures of human mobility in Beijing, some dominated by a single core node, while others are formed by the aggregation of multiple cores. Finally, POI data was used to analyze human daily activity patterns. We analyzed the temporal characteristics and the hotspot areas of each daily activity in Beijing and found that transferring to other transportation modes is the most popular activity for people riding bikes, followed by shopping, working, and eating out. These findings provide a reference for understanding urban human dynamics and urban structure from the perspective of dockless bike-sharing.

Temporal partitioning and the potential for avoidance behaviour within South African carnivore communities.

Carnivora occupy many ecological niches fundamental to ecosystem functioning. Within this diverse order, carnivore species compete to establish dominance, ensure survival and maintain fitness. Subordinate carnivores must, therefore, adapt their behaviour to coexist with dominant species. One such strategy is the partitioning of temporal activity patterns. We aim to determine interspecific avoidance patterns among sympatric carnivores by examining coexistence along a temporal axis. We compared the temporal activity patterns of 13 carnivore species using multi-seasonal camera trapping data from four protected areas across South Africa: Associated Private Nature Reserves, Madikwe Game Reserve, Mountain Zebra National Park and Tswalu Kalahari Reserve. Interspecific coefficients of overlap in diel and core activity periods were calculated over the study period and during the wet and dry seasons. Furthermore, interspecific spatiotemporal behaviour was examined using time-to-event analyses. Our results showed that complete avoidance of diel activity patterns was rare among South African carnivore species. Most species were predominantly nocturnal and, therefore, diel activity overlap was high, whereas core activity overlap was significantly lower (p < .001). Diel activity overlap was significantly lower during the dry than wet seasons (p = .045). Lastly, evidence of spatiotemporal aggregation revolved around scavenging species. We show the importance of seasonality in the temporal avoidance behaviours of South African carnivores while highlighting the need for fine-scaled behavioural analyses. Overall, we show that the daily activity patterns of most subordinate South African carnivore species are not influenced by top-down forces in the form of competitional suppression and risk exerted by dominant species. If avoidance is required, it is more likely to manifest as fine-scaled avoidance of core activity periods. We suggest that the focus on core activity periods might be a more suitable tool for interspecific temporal partitioning research.

Occupancy and Activity Patterns of Nine-Banded Armadillos (Dasypus novemcinctus) in a Suburban Environment

The geographic range of the nine-banded armadillo (Dasypus novemcinctus) has rapidly been expanding within the United States for the last 150 years. One of the factors contributing to this astounding range expansion is the species’ ability to survive in and colonize human-dominated areas. Despite the fact that armadillos live alongside humans in numerous towns and cities across the Southeastern, Southcentral, and now Midwestern United States, we know relatively little about the behavior and ecology of armadillos in human-developed areas. Here, we used motion-triggered game cameras in over 115 residential yards in the rapidly developing Northwest corner of Arkansas to survey armadillos in a largely suburban environment. Our objectives were to explore trends in armadillo occupancy and daily activity patterns in a suburban setting. We documented armadillos in approximately 84% of the yards surveyed indicating that the species was widespread throughout the environment. We found that the species was more likely to occupy yards surrounded by a high proportion of forest cover. We found no relationship between armadillo occupancy and other land cover or development covariates. Only 2% of nearly 2000 armadillo detections occurred during the day indicating that the species is almost exclusively nocturnal during the summer months when living near humans in the suburban environment, which we suggest is likely an adaptation to avoid contact with humans and their dogs. As the armadillo continues to expand its geographic range to areas where it has not previously occurred, understanding how human development supports and facilitates the spread of this species can elucidate areas where conflict between humans and armadillos might occur allowing for preemptive management or education to mitigate conflict.

Exploring the joint impacts of income, car ownership, and built environment on daily activity patterns: a cluster analysis of trip chains

Clustering activity patterns and identifying homogeneous travel behaviour through trip chain sequences offer valuable insight for transportation planners and policymakers in addressing transport equity problems and travel demand management. This study explores how income and car-ownership levels determine mobility patterns and travellers' decisions. Unlike previous studies that investigated the travel mode and destinations separately, we designed a novel, aggregated form considering the trip purpose and associated transport mode use as a unit of our analysis. To mitigate the subjectivity of rule-based approaches for trip chain analysis, we employ a novel sequence clustering framework to extract homogeneous clusters of activity patterns. Our results reveal that income and car-ownership levels influence travellers' travel decisions and mobility patterns. Among low-income carless households, 37% of their daily trips include care activities where women more frequently than men play this traditional role in a household by either public transit or a car as a passenger. In the low-income car-owner subsample, females still use public transit for their work trips, whereas males more often use the available car to commute to work. Males of wealthy carless households integrate public transit and active transportation for their daily trips when they live in high-density and more accessible neighbourhoods. While our findings demonstrate the impact of car ownership, income, and built environment on trip-chaining behaviour, we recognise that achieving transport equity will require tailored transportation and land use policies and investments that address the specific needs and barriers faced by different household types, particularly the most vulnerable ones in terms of sociodemographic characteristics, accessibility levels, and affordability issues. Hence, we recommend that policymakers and planners take a more holistic approach to transportation planning that considers the interplay of these factors to ensure that transportation systems and services are accessible, affordable, and equitable for all.

Biocultural salient birds: which biological and cultural factors define them?

People’s interests and needs, as well as biological characteristics of species, determine human perception and interaction with biodiversity. Thus, both cultural and biological factors should be considered to understand biocultural salient species. We studied the cultural and biological traits that influence bird salience for an indigenous community in Mexico. Firstly, we used bird lists mentioned by local people to compute salient indexes for species. Then, we constructed seven cultural association categories to represent the local significance of birds (recreation, beliefs, environment, food, crop damage, economy, pets) and compiled biological information about species (color, size, vocal activity, detectability, abundance, daily activity pattern, habitat, residence status, taxonomic family). Finally, we determined the relations of cultural associations and biological traits with bird salience using hierarchical clusters. We observed a strong link between salient birds and human feeding, as these animals were locally recognized as food and threat to crops. Salient and non-salient birds were differentiated by their residence status and vocal activity, as local awareness was greater towards year-round resident and vocal species. Salience related the most with abundance, followed by color and detectability. Our study provides a route to identify cultural and biological factors influencing biocultural salience, which might prove useful for establishing conservation initiatives, public policies, and environmental education actions.

Females occasionally create duets with males but they never sing solo-year-round singing behaviour in an Afrotropical songbird

Our knowledge of birdsong mainly comes from studies focused on male songs produced in a short breeding period, even though we know that sedentary species sing year-round, female song is quite widespread and many species sing collectively creating duets and choruses. In this study we focused on daily and seasonal changes in singing activity of an endemic, sedentary, duetting, Afrotropical songbird—the Bangwa forest warbler. We collected soundscape recordings in six recording locations and used singing activity index to examine how vocal activity of males and females varies daily and seasonally and how it correlates with the rainfall. We found that Bangwa forest warblers sing year-round, yet they do it more in wet than in dry season. The rapid increase of singing activity occurs after first rain, at the beginning of the rainy season. Males sing significantly more than females. Females never sing solo, however, in 13% of songs they create duets by joining male solos. The pattern of daily singing activity is sex-specific and seasonally variable, with two peaks (dawn and dusk) observed in males and only one in females (dawn). In Bangwa forest warbler male singing behaviour is similar to that of many songbirds, suggesting that territory defence and female attraction as main functions of singing. Females, which create duets and never sing solo may use songs in mate guarding, signalling commitment, resource defence or intersex territory defence. Duets observed year-round may suggest cooperative resource defence. Results of the study show that examining year-round singing behaviour is crucial to fully understand the evolution and functions of male and female songs.

Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast

Along the mid-Atlantic coast of the United States, eastern red bats (Lasiurus borealis) are present during fall mating and migration, though little is currently known about most aspects of bat migration. To reveal migration patterns, and understand drivers of over-water flight, we captured and radio-tagged 115 eastern red bats using novel technology, and subsequently tracked and described their movements throughout the region. We compared over-water flight movements to randomly generated patterns using a use-availability framework, and subsequently used a generalized linear mixed effects model to assess the relationship of over-water flight to atmospheric variables. We used hidden Markov models to assess daily activity patterns and site residency. Most bats with long-distance movements traveled in a southwesterly direction, however path vectors were often oriented interior toward the continental landmass rather than along the coastline. We observed that some bats transited wide sections of the Chesapeake and Delaware bays, confirming their ability to travel across large water bodies. This over-water flight typically occurred in the early hours of the night and during favorable flying conditions. If flight over large water bodies is a proxy for over-ocean flight, then collision risk at offshore wind turbines – a major source of migratory bat fatalities – may be linked nightly to warm temperatures that occur early in the fall season. Risk, then, may be somewhat predictable and manageable with mitigation options linking wind-energy operation to weather conditions and seasonality.

Representative truck activity patterns from anonymous mobile sensor data

• Anonymous Global Positioning System data can be mined for truck activity patterns. • Stop and trip characteristics of a truck represent its daily activity pattern. • Truck operational types can be represented by six unique daily activity patterns. With new sources of big data, it is increasingly possible to practically implement advanced freight forecasting models including activity-based and truck touring models. Such models improve upon traditional trip-based approaches by capturing freight behaviors sensitive to transportation policy and infrastructure changes. A persistent challenge with the use of big data in this context is the ability to generalize a set of representative behaviors to serve as the basis for model calibration and validation from anonymized data depicting the complex behaviors of the population. To address this challenge, we present a two-stage methodology to extract unique and representative freight activity patterns from passively collected truck Global Positioning System (GPS) data. The first stage involved a heuristic-based approach to derive a set of stop and trip characteristics from large-streams of GPS pings. The second stage employed data mining and machine learning techniques to discern common freight activity patterns from the set of defined features. The resulting activity pattern profiles, defined as chains of activities and their trajectories over time and space, allow us to maintain the anonymity of the trucks included in the GPS dataset while providing high-resolution travel profiles- a necessary condition for most data sharing agreements between public agencies and private data providers. These activity patterns serve as the critical, and currently missing, data needed to calibrate and validate advanced freight forecasting models. With more advanced forecasting models reflective of observed freight behaviors, we will be able to evaluate a wider spectrum of policy and infrastructure scenarios more accurately.