Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
33
datasets available to search
ShareScore release 0.9.0
Dataset results
33 results for “bird movement”
Figure 2 in Seasonal altitudinal movements of birds in Brazil: a review
Figure 2. Map showing where studies found in the literature search were carried out, including all references to seasonal altitudinal movement of birds in Brazil. On the right, topography, and on the left plant formations or biomes. Blue circles are studies carried out where altitudinal movements could possibly be studied, while red circles are those studies that were unable to test, but nonetheless claim, altitudinal movements.
Figure 1 in Seasonal altitudinal movements of birds in Brazil: a review
Figure 1. Cumulative curve of number of publications citing some form of altitudinal movement in Brazilian birds since 1854.
Data from: Habitat conditions during winter explain movement among subpopulations of a declining migratory bird
Open the record for dataset details and reuse information.
GPS tracking data for: Male mating season range expansion results from an increase in scale of daily movements for a polygynous-promiscuous bird
<p>Males of species with promiscuous mating systems are commonly observed to use larger ranges during the mating season relative to non-mating seasons, which is often attributed to a change in movements related to reproductive activities. However, few studies link seasonal range sizes to variations in daily space use patterns to provide insight into the behavioral mechanisms underlying mating season range expansion. We studied 20 GPS-tagged male wild turkeys (<em>Meleagris gallopavo</em>), a large upland gamebird, during the mating and summer non-mating seasons to test the hypothesis that larger mating season ranges resulted from male wild turkeys expanding the scale of daily movement activities to locate and court females. We delineated mating and non-mating seasons based on the intensity of gobbling, a vocalization tied to courtship behavior, recorded by autonomous recording units distributed across the study area. Mating season ranges were significantly larger than non-mating season ranges. Daily ranges were larger in the mating season, as were distances between roost sites used on consecutive nights. Variance in daily range size was greater in the mating season, but low temporal autocorrelation suggested considerable daily variability in both seasons. We found no evidence that male wild turkeys changed how they distributed daily movements within seasonal ranges, or differences in habitat use, suggesting larger mating season ranges result from male wild turkeys increasing the scale of their daily movements, rather than a systematic shift to a nomadic movement strategy. Likely, the distribution of females is more dynamic and ephemeral compared to other resources, prompting males to traverse larger daily ranges during the mating season to locate and court females. Our work illustrates the utility of using daily movement to understand the behavioral process underlying larger space use patterns.</p>
Movement of juvenile migratory birds from settlement to adulthood across the non-breeding range
<p>Among migratory vertebrates, high levels of fidelity to non-breeding sites during adulthood are common. If occupied sites vary in quality, strong site-fidelity can have profound consequences for individual fitness and population demography. Given the prevalance of adult site-fidelity, the regions of the non-breeding range to which juveniles first migrate, and the scale of any subsequent movements, are likely to be pivotal in shaping distributions and demographic processes across population ranges. However, inherent difficulties in tracking migratory individuals through early life mean that opportunities to quantify juvenile settlement and movements across non-breeding ranges, and the mechanisms involved, are extremely rare.Through long-term, range-wide resightings of hundreds of colour-marked individuals from their first migration to adulthood, and application of state-space models, we quantify levels of juvenile and adult regional-scale movements and distances at different life stages across the whole non-breeding distribution range in a migratory shorebird, the Black-tailed Godwit (<em>Limosa limosa islandica</em>). We show that the probability of individuals changing non-breeding regions (seven historical wintering regions spanning the Western Europe range) at all ages are very low (mean movement probability = 10.9% from first to subsequent winter, and 8.3% from first adult winter to later winters). Movement between regions was also low between autumn and winter of the same year for both juveniles (mean movement probability = 17.0%) and adults (10.4%). The great majority of non-breeding movements from the first autumn to adulthood were within regions and less than 100 km. The scarcity of regional-scale non-breeding movements from the first autumn to adulthood means that the factors influencing where juveniles settle will be key determinants of non-breeding distributions and of the rate and direction of changes in distributions.</p>
Data for: Post-migratory nonbreeding movements of birds: a review and case study
<p><span>Seasonal migrations are fascinating and ecologically important, but many migratory species are declining as climate change and land-use change alter the habitats used by migrants across the annual cycle. While some migratory birds use a single wintering site, others undertake large-scale post-migratory movements during the nonbreeding season. Technological advances that enable tracking individual birds are uncovering more examples of post-migratory nonbreeding movements. Documenting these movements is important for conservation, which requires understanding when and where migrants use habitats throughout their range. Here, we reviewed existing literature and collected information on the post-migratory nonbreeding movements of 92 migratory bird species from 18 orders across six continents. Among these records, the most commonly reported drivers of movements were resource availability and climate. This strong dependence of post-migratory nonbreeding movements on birds' abiotic and biotic environments suggests that environmental change will impact the patterns of these movements and potentially the fitness of species that undertake them. We also reviewed post-migratory nonbreeding movements in North American-breeding thrushes from the genus Catharus to examine the drivers of these movements in five closely related migratory species. We find that species that are less territorial are more likely to use multiple sites during the nonbreeding season; however, there is little evidence for dietary, evolutionary, or environmental differences between thrush species that move during winter and those that are stationary. While we believe our study represents the most comprehensive list of species exhibiting post-migratory nonbreeding movements to date, biases in sampling, a lack of common terminology for these movements, and the still-nascent availability of inexpensive, lightweight tracking devices mean that there are probably many more populations that undertake such movements. Future research into the consequences of post-migratory nonbreeding movements for individual fitness and ecosystem services would advance our understanding of their conservation importance and their evolution.</span></p>
Effects of human and non-human predation risk on antipredator movement behaviors of an upland game bird
<p>Predators can elicit antipredator behaviors in prey such as proactive and reactive movements, but both are rarely investigated simultaneously. Impacts of human predation risk on antipredator behaviors can potentially be greater than non-human predators, resulting in increased effects on populations and community structure. Therefore, we compared the influence of human and non-human predation risk on proactive and reactive antipredator movement behaviors of a commonly harvested game bird, male Eastern wild turkeys (<em>Meleagris</em> <em>gallopavo</em>, hereafter turkey). We used simultaneously collected GPS locations from 31 turkeys and 36 coyotes (<em>Canis</em> <em>latrans</em>) to investigate antipredator behavior of turkeys to coyotes. To assess antipredator behaviors by turkeys to hunters, we used 1,661 hunting tracks collected while monitoring 109 turkeys. Specifically, for proactive movements, we quantified how predation risk influenced resource selection. To investigate reactive movements, we quantified changes in movement behavior of turkeys after encountering hunters and coyotes. Coyotes and turkeys were sympatric on the landscape as home range overlap was high, but lack of core area overlap, encounters, and similar resource selection suggested use of different areas on the landscape. Turkeys selected areas associated with decreased coyote risk and closer to hardwoods. Coyotes preferred shrubs and open areas, suggesting turkeys avoided coyote risk and the habitats coyotes preferred. We detected 17 coyote and turkey contacts, and probability of a contact decreased by 16.6% for every 100m farther from a forest edge. Turkeys did not display reactive movement behaviors after a direct encounter with coyotes, as step lengths were similar prior and after encounters, which did not differ from random step lengths. After the onset of hunting, turkeys selected to be farther away from public access points and closer to private property, suggesting proactive avoidance of areas associated with increased hunter predation risk. We detected 31 hunter and turkey contacts, step lengths after hunter contacts were approximately double compared to random step lengths. The probability of a hunter-turkey contact decreased by 5.5% for every 100m farther from a secondary road. Collectively, antipredator movement behaviors by turkeys suggest coyote risk to be low over a broad temporal window as we only documented proactive movement behaviors. Conversely, hunter risk is high for a short temporal window while hunting is occurring, as we documented both proactive and reactive movement behavior responses. Overall, we provide insight into how human-induced fear can cause antipredator behavioral responses greater than non-human fear, potentially causing changes in species distribution and community structure.</p>
Data for: Post-migratory nonbreeding movements of birds: a review and case study
Open the record for dataset details and reuse information.
Movement of juvenile migratory birds from settlement to adulthood across the non-breeding range
Open the record for dataset details and reuse information.
Data from: Movements of four native Hawaiian birds across a naturally fragmented landscape
Open the record for dataset details and reuse information.
Movement strategies of neotropical nectarivorous birds: Insights from high-Andean hummingbirds and flowerpiercers
Open the record for dataset details and reuse information.
GPS tracking data for: Male mating season range expansion results from an increase in scale of daily movements for a polygynous-promiscuous bird
Open the record for dataset details and reuse information.
Effects of human and non-human predation risk on antipredator movement behaviors of an upland game bird
Open the record for dataset details and reuse information.
Diurnal timing of nonmigratory movement by birds: the importance of foraging spatial scales
Timing of activity can reveal an organism's efforts to optimize foraging either by minimizing energy loss through passive movement or by maximizing energetic gain through foraging. Here, we assess whether signals of either of these strategies are detectable in the timing of activity of daily, local movements by birds. We compare the similarities of timing of movement activity among species using six temporal variables: start of activity relative to sunrise, end of activity relative to sunset, relative speed at midday, number of movement bouts, bout duration, and proportion of active daytime hours. We test for the influence of flight mode and foraging habitat on the timing of movement activity across avian guilds. We used 64570 days of GPS movement data collected between 2002 and 2019 for local (non-migratory) movements of 991 birds from 49 species, representing 14 orders. Dissimilarity among daily activity patterns was best explained by flight mode. Terrestrial soaring birds began activity later and stopped activity earlier than pelagic soaring or flapping birds. Broad-scale foraging habitat explained less of the clustering patterns because of divergent timing of active periods of pelagic surface and diving foragers. Among pelagic birds, surface foragers were active throughout the day while diving foragers matched their active hours more closely to daylight hours. Pelagic surface foragers also had the greatest daily foraging distances, which was consistent with their daytime activity patterns. This study demonstrates that flight mode and foraging habitat influence temporal patterns of daily movement activity of birds.
Data from: Overwintering strategies of migratory birds: a novel approach for estimating seasonal movement patterns of residents and transients
1. Our understanding of movement patterns in wildlife populations has played an important role in current ecological knowledge, and can inform landscape conservation decisions. Direct measures of movement can be obtained using marked individuals, but this requires tracking individuals across a landscape or multiple sites. 2. We demonstrate how movements can be estimated indirectly using single-site, capture–mark–recapture (CMR) data with a multistate open robust design with state uncertainty model (MSORD-SU). We treat residence and transience as two phenotypic states of overwintering migrants, and use time- and state-dependent probabilities of site entry and persistence as indirect measures of movement. We applied the MSORD-SU to data on eight species of overwintering Neotropical birds collected in 14 countries between 2002 and 2011. In addition to entry and persistence probabilities, we estimated proportions of residents at a study site, and mean residence times. 3. We identified overwintering movement patterns and residence times that contrasted with prior categorizations of territoriality. Most species showed evidence of residents entering sites at multiple time intervals, with transients tending to enter between peak resident movement times. Persistence and the proportion of residents varied by latitude, but were not always positively correlated for a given species. 4. Synthesis and applications: Our results suggest that migratory songbirds commonly move among habitats during the overwintering period. Substantial proportions of populations appear to be comprised of transient individuals, and residents tend to persist at specific sites for relatively short periods of time. This information on persistence and movement patterns should be explored for specific habitats to guide landscape management on the wintering grounds, such as determining which habitats are conserved or restored as part of certification programs of tropical agroforestry crops. We suggest that research and conservation efforts on Neotropical migrant songbirds focus on identifying landscape configurations and regional habitat networks that support these diverse overwintering strategies to secure full life cycle conservation.
Climate alters the movement ecology of a non-migratory bird - dataset
<p>Global climate change is causing increased climate extremes threatening biodiversity and altering ecosystems. Climate is comprised of many variables including air temperature, barometric pressure, solar radiation, wind, relative humidity, and precipitation that interact with each other. As movement connects various aspects of an animal's life, understanding how climate influences movement at a fine-temporal scale will be critical to the long-term conservation of species impacted by climate change. The sedentary nature of non-migratory species could increase some species risk of extirpation caused by climate change. We used Northern Bobwhite (<em>Colinus virginianus</em>; hereafter bobwhite) as a model to better understand the relationship between climate and the movement ecology of a non-migratory species at a fine-temporal scale. We collected movement data on bobwhite from across western Oklahoma during 2019–2020 and paired these data with meteorological data. We analyzed movement three different ways (probability of movement, hourly distance moved, and sinuosity) using two calculated movement metrics: hourly movement (displacement between two consecutive fixes an hour apart) and sinuosity (a form of tortuosity that determines the amount of curvature of a random search path). We used generalized linear-mixed models to analyze probability of movement and hourly distance moved, and used linear-mixed models o analyze sinuosity. The interaction between air temperature and solar radiation affected probability of movement and hourly distance moved. Bobwhite movement increased as air temperature increased beyond 10oC during low solar radiation. During medium and high solar radiation, bobwhite moved farther as air temperature increased until 25–30oC when hourly distance moved plateaued. Bobwhite sinuosity increased as solar radiation increased. Our results show that specific climate variables alter the fine-scale movement of a non-migratory species. Understanding the link between climate and movement is important to determining how climate change may impact a species' space use and fitness now and in the future. </p>
Data from: Movement ecology of Afrotropical birds: Functional traits provide complementary insights to species identity
Effects of anthropogenic activities on habitats and species communities and populations are complex and vary across species depending on their ecological traits. Movement ecology may provide important insights into species´ responses to habitat structures and quality. We investigated how movement behavior across a human-modified landscape depends on species identity and species traits, with particular focus on habitat specialization, feeding guilds and dispersal behavior. We tracked 34 individuals of nine Afrotropical bird species during three years in an anthropogenic riparian landscape of East Africa. We investigated whether species' functional traits predicted their habitat use and movement behavior better than species´ identities. Our results indicate that habitat specialists mainly occur in dense riparian thickets, while habitat generalists do occur in agricultural land. Home-ranges of omnivorous habitat generalists are larger than of frugivorous and insectivorous generalists and omnivorous and insectivorous specialists. Movement speed was highest in settlement areas for all species, with activity peaks during morning and afternoon for habitat specialists. Our results reveal that functional traits and species identity provide complementary insights into responses of organisms to habitat structures and habitat quality.
Why did the chicken NOT cross the road? Anthropogenic development influences the movement of a grassland bird
<p>Movement and selection are inherently linked behaviors that form the foundation of a species space-use patterns. Anthropogenic development in natural ecosystems can result in a variety of behavioral responses that can involve changes in either movement (speed or direction of travel) or selection (resources used) behaviors which in turn may cause differential population level consequences including loss of landscape level connectivity. Understanding how a species alters these different behaviors in response to human activity is essential for effective conservation. In this study, we investigated the effects of anthropogenic development such as roads, power lines and oil wells on the greater prairie-chicken (Typanuchus cupido) in the post-nesting and nonbreeding season. Our first objective was to assess if greater prairie-chickens alter their movement behaviors or their selection patterns when encountering oil wells, power lines, or roads using integrated step selection analysis (iSSA). Our second objective was to determine if prairie-chickens avoided crossing linear features such as roads or power lines by comparing the number of crossing events in greater prairie-chicken movement tracks to the number of movements that crossed these features in simulated movement tracks. Based on the iSSA analysis, we found that greater prairie-chickens avoided oil wells, power lines, and roads in both seasons, but found little evidence for changes in speed or direction of movement at the population-level. However, at the individual level we observed individuals using a number of strategies near development including avoidance and increased rates of movements. Furthermore, prairie-chickens traveled across roads and power lines at much lower rates than expected. Consistent avoidance of development resulted in indirect habitat loss for greater prairie-chickens. These behaviors also resulted in a potential loss of landscape connectivity for this species. By considering both movement and selection we were able to develop an ecological understanding of how increasing human activity may influence the space-use of this species of conservation concern. This research provides insight into the decision-making process by animals when they encounter anthropogenic development by considering multiple behavioral responses. --</p>
Does weather drive habitat use and movement of a non-migratory bird?
<p>Climate change is predicted to increase the intensity and frequency of weather extremes (e.g., extreme heat and drought), which will likely affect wildlife species in significant ways. Maintaining landscape heterogeneity has been suggested as a potential conservation strategy to buffer animals from weather extremes. Because animal movement influences survival and population connectivity, understanding animal space use and movement in response to shifts in weather is useful for the conservation of wildlife. Non-migratory species are predicted to be more negatively affected by climate change because they have a limited ability to disperse to find resources. We studied the Northern Bobwhite (<em>Colinus</em> <em>virginianus</em>; hereafter, bobwhite) to understand how weather alters habitat use and movement of a non-migratory animal across a landscape. We collected telemetry locations on bobwhite across western Oklahoma during 2019–2020 and paired these data with meteorological and vegetation data. We analyzed the data at 2 temporal scales – hourly locations and 12-hour paths. At the hourly scale, we analyzed tree cover use, shrub cover use, and normalized difference vegetation index (NDVI) use using generalized or linear-mixed models. At the 12-hour scale, we calculated three different movement metrics: cumulative distance, net displacement, and sinuosity, and analyzed each movement metric separately using generalized linear-mixed models. We found that bobwhite used denser tree cover and higher NDVI values as air temperature increased in conjunction with solar radiation. Bobwhite used denser shrub cover as air temperature increased and average wind speed was high as well as when air temperature and average wind speed were low. The interaction between variability in vegetation and climate influenced bobwhite movement. Bobwhite in areas with higher NDVI variance moved farther when mean air temperatures were > 0°C than bobwhite in areas with low NDVI variance. When mean air temperatures were ≤ 0°C, NDVI variance had little effect on the cumulative distance moved of bobwhite. Our findings show that some animals use different vegetation types during different weather conditions and that variability in vegetation on the landscape and weather together alters animal movement. Managing for landscape heterogeneity is a solution that may buffer animals from increased climate variability in the future.</p>
Diurnal timing of nonmigratory movement by birds: the importance of foraging spatial scales
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.