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28 results for “foraging range”
Figure 1 in Home range and foraging habitat selection by breeding lesser kestrels (Falco naumanni) in Greece
Figure 1. Minimum convex polygon home ranges (outer: 100%, interior: 95% of locations) of male (A) and female (B) lesser kestrels during the breeding season in central Greece, 2008.
Tropical range extending herbivorous fishes gain foraging benefits by shoaling with native temperate species
<p>Data1.csv contains the data to analyze the abundance of fish herbivore individuals as a function of the species and the type of shoal. </p> <p>Data2.xlsx contains the data to analyze the foraging activity of the herbivorous fish found in our study. We explored the relationship between bite rates per fish min-1 and the species, shoal type and shoal size. </p> <p>Data3.xlslx contains the data to analyze the shoaling configurations based on species origin. </p> <p>Minguito-Frutos_etal.R contains the R reproducible code to run all the analyses carried out in this study. </p> <p>Species_coocurrence_based_associations.R contains the reproducible R code to run the analyses to explore the strength of mixed-species associations between herbivorous fish. </p> <p>-------------------------------------------------------------------------------------------------------------------------------------------</p> <p>Data1.csv, Data2.xlsx, Data3.xlslx, and Minguito-Frutos_etal.R contains the data and code used before submitting this work. </p> <p>-------------------------------------------------------------------------------------------------------------------------------------------<br><br>Minguito_Frutos_etal2025_SR_Rscript, Data_Rev_SR, and Data2_Rev_SR contain the data and code derived from the last submission to Scientific Reports. In this latest version, we modified our analyses of fish foraging activity that now evaluate: (i) the frequency and size of mixed-species shoals based on the origin of the species examined (using data in Data2_Rev_SR), (ii) the strength of pair-wise associations between native and range-expanding species (using Species_coocurrence_based_associations.R), and (iii) how the foraging activity of native and range-extending fishes was shaped by the composition and size of the shoals (using data in Data_Rev_SR). </p>
Resource manipulation reveals interactive phenotype-dependent foraging in free-ranging lizards
<p>Recent evidence suggests that individuals differ in foraging tactics and this variation is often linked to an individual's behavioural type (BT). Yet, while foraging typically comprises a series of search and handling steps, empirical investigations have rarely considered BT-dependent effects across multiple stages of the foraging process, particularly in natural settings.</p> <p>In our long-term sleepy lizard (Tiliqua rugosa) study system, individuals exhibit behavioural consistency in boldness (measured as an individual's willingness to approach a novel food item in the presence of a threat) and aggressiveness (measured as an individual's response to an 'attack' by a conspecific dummy). These BTs are only weakly correlated and have previously been shown to have interactive effects on lizard space use and movement, suggesting that they could also affect lizard foraging performance, particularly in their search behaviour for food.</p> <p>To investigate how lizards' BTs affect their foraging process in the wild, we supplemented food in 123 patches across a 120-ha study site with three food abundance treatments (high, low, and no-food-controls). Patches were replenished twice a week over the species' entire spring activity season and feeding behaviours were quantified with camera traps at these patches. We tracked lizards using GPS to determine their home range (HR) size and repeatedly assayed their aggressiveness and boldness in designated assays.</p> <p>We hypothesised that bolder lizards would be more efficient foragers while aggressive ones would be less attentive to the quality of foraging patches. We found an interactive BT effect on overall foraging performance. Individuals that were both bold and aggressive ate the highest number of food items from the foraging array. Further dissection of the foraging process showed that aggressive lizards in general ate the fewest food items in part because they visited foraging patches less regularly, and because they discriminated less between high and low-quality patches when revisiting them. Bolder lizards, in contrast, ate more tomatoes because they visited foraging patches more regularly, and ate a higher proportion of the available tomatoes at patches during visits.</p> <p>Our study demonstrates that BTs can interact to affect different search and handling components of the foraging process, leading to within-population variation in foraging success. Given that individual differences in foraging and movement will influence social and ecological interactions, our results highlight the potential role of BT's in shaping individual fitness strategies and population dynamics.</p>
Resource manipulation reveals interactive phenotype-dependent foraging in free-ranging lizards
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Data From: Effects of disease on foraging behaviour and success in an individual free-ranging northern elephant seal
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Data from: Differences in foraging range between white-tailed tropicbirds breeding on inner and outer Seychelles Islands
<p>The foraging ecology and distribution of Phaethontiformes, an order of tropical seabirds, remains generally poorly understood, despite being essential to inform their conservation. Here, we tracked, for the first time, the foraging movements of breeding white-tailed tropicbirds <em>Phaethon lepturus</em>, a common but poorly studied seabird, in the Indian Ocean. We compared the foraging movements and habitat preferences of 2 populations, one from Aride Island in the inner Seychelles and the other from Aldabra Atoll in the outer Seychelles, ca. 1200 km to the southwest. We found considerable differences in foraging trip metrics between populations, with birds from Aride having an average foraging range 2 times greater (231 km on Aride vs. 105 km on Aldabra), and both populations feeding far beyond the protected areas around their respective colony. We also found differences in foraging range between incubation and chick-rearing stages and sexes. Using habitat models, we highlight the birds' preference for deep waters, which may explain the greater foraging range of Aride birds, although human activities may also play a role. Our study provides unprecedented insight into the foraging ecology of white-tailed tropicbirds in the Western Indian Ocean.</p>
Data from: Genetic diversity in tempo determines foraging range in ants
<p>The foraging behavior of a colony arises from the activity of individual workers. In this paper we explore the phenotypic differences among the workers of the western harvester ant, Pogonomyrmex occidentalis in order to understand the temporal pattern of foraging in colonies. We know that the genetic diversity of colonies influences the temporal pattern of foraging: with greater genetic diversity colonies begin foraging earlier and forage for greater duration. </p> <p>We test two mechanisms to account for this pattern. The Temperature Hypothesis predicts that early foragers will be more active at lower temperatures than late foragers and will be the first workers to initiate foraging. Late foragers will be more active at high temperatures. The Tempo Hypothesis predicts that early foragers will be the first to forage because they have the higher overall tempo of activity at all temperatures. </p> <p>We measure the movement activity of samples of early and late foragers from 32 colonies over a range of temperatures from 9-37̊C. We find that early workers are more active at all temperatures than late workers, supporting the Tempo Hypothesis. Early and late foragers tend to belong to different patrilines, suggesting that there is a genetic basis for the difference in the tempo of behavior. We also find that colonies that have greater number of patrilines, due to greater mating frequency by the queen, have a greater range temporal range of foraging. </p>
Data from: Genetic diversity in tempo determines foraging range in ants
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Data from: Differences in foraging range between white-tailed tropicbirds breeding on inner and outer Seychelles Islands
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Plant communities, forage quality, and diet composition on summer ranges of mule deer (2017–2019), Wyoming, USA
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Foraging niche shift maintains breeding parameters of a colonial waterbird during range expansion
<p>Relating the effects of foraging niche variation to reproductive dynamics is critical to understand species response to environmental change. We examined foraging niche variations of the slender-billed gull (Chroicocephalus genei), a nomadic colonial waterbird species during its range expansion along the French Mediterranean coast over a 16 year period (1998-2013). We investigated whether range expansion was associated to a change in chick diet, breeding success and chicks body condition. We also examined whether breeding success and chicks body condition were explained by diet and colonial characteristics (number of pairs, laying phenology, habitat, and locality). Diet was characterized using dual-stable isotopic proxies (δ13C and δ15N) of feather keratin from 331 individuals subsampled from a total of 4154 chicks ringed and measured at 18 different colonies. δ13C decreased and δ15N increased significantly during range expansion suggesting that chicks were fed from preys of increasing trophic level found in the less salty habitat colonised by the end of the study period. Niche shift occurred without significant change of niche width which did not vary among periods, habitats or localities either. Breeding success and chick body condition showed no consistent trends over years. Breeding success tended to increase with decreasing δ13C at the colony level while there was no relationship between stable isotope signatures and chick body condition. Overall our results suggest that even if range expansion is associated with foraging niche shift towards the colonization of less salty and more brackish habitats, the shift had marginal effect on the breeding parameters of the Slender-billed gull. Niche width appears as an asset of this species, which likely explains its ability to rapidly colonize new locations.</p>
Data from: From fine-scale foraging to home ranges: a semi-variance approach to identifying movement modes across spatiotemporal scales
Understanding animal movement is a key challenge in ecology and conservation biology. Relocation data often represent a complex mixture of different movement behaviors, and reliably decomposing this mix into its component parts is an unresolved problem in movement ecology. Traditional approaches, such as composite random walk models, require that the timescales characterizing the movement are all similar to the usually arbitrary data-sampling rate. Movement behaviors such as long-distance searching and fine-scale foraging, however, are often intermixed but operate on vastly different spatial and temporal scales. An approach that integrates the full sweep of movement behaviors across scales is currently lacking. Here we show how the semivariance function (SVF) of a stochastic movement process can both identify multiple movement modes and solve the sampling rate problem. We express a broad range of continuous-space, continuous-time stochastic movement models in terms of their SVFs, connect them to relocation data via variogram regression, and compare them using standard model selection techniques. We illustrate our approach using Mongolian gazelle relocation data and show that gazelle movement is characterized by ballistic foraging movements on a 6-h timescale, fast diffusive searching with a 10-week timescale, and asymptotic diffusion over longer timescales.
High mortality rates in a juvenile free-ranging marine predator and links to dive and forage ability
<p class="western">1. High juvenile mortality rates are typical of many long-lived marine vertebrate predators. Insufficient development in dive and forage ability are considered key drivers of this. However, direct links to survival outcome are sparse, particularly in free-ranging marine animals that may not return to land.</p> <p class="western">2. In this study, we conduct exploratory investigations toward early mortality in juvenile southern elephant seals <i>Mirounga leonina</i>. 20 post-weaning pups were equipped with (1) a new generation satellite relay data tag, capable of remotely transmitting fine-scale behavioural movements from accelerometers, and (2) a location transmitting only tag (so that mortality events could be distinguished from device failures). Individuals were followed during their first trip at sea (until mortality or return to land). Two analyses were conducted. First, the behavioural movements and encountered environmental conditions of non-surviving pups were individually compared to temporally concurrent observations from grouped survivors. Second, common causes of mortality were investigated using Cox's proportional hazard regression and penalised shrinkage techniques.</p> <p class="western">3. Nine individuals died (two females and seven males) and 11 survived (eight females and three males). All but one individual died before the return phase of their first trip at sea, and all but one were negatively buoyant. Causes of death were variable, although common factors included increased horizontal travel speeds, decreased development in dive and forage ability, and habitat type visited (lower sea surface temperatures and decreased total (eddy) kinetic energy).</p> <p class="western">4. For long-lived marine vertebrate predators, such as the southern elephant seal, the first few months of life following independence represent a critical period, when small deviations in behaviour from the norm appear sufficient to increase mortality risk. Survival rates may subsequently be particularly vulnerable to changes in climate and environment, which will have concomitant consequences on the demography and dynamics of populations.</p> <p class="western"> </p> <p class="western"> </p>
Grow up, be persistent and stay focused: keys for solving foraging problems by free-ranging possums
<p><span>Individuals within a species often vary in both their problem-solving approach and ability, affecting their capacity to access novel food resources. Testing problem-solving in free-ranging individuals is crucial for understanding the fundamental ecological implications of problem-solving capacity. To examine the factors affecting problem-solving in free-ranging animals we presented three food-extraction tasks of increasing difficulty to urban common brushtail possums </span><span>(<em>Trichosurus</em> <em>vulpecula</em>)</span><span>. We quantified two measures of problem-solving performance: trial outcome (success/failure) and time to solve, and tested the influence of a range of potential drivers including individual traits (personality, body weight, sex, and age), mechanistic behaviors that quantify problem-solving approach (work time, functional behavior time, behavioral diversity, and flexibility), and prior experience with the puzzles. We found that mechanistic behaviors were key drivers of performance. Individuals displaying greater persistence (higher work and functional behavior time) were more likely to solve a food-extraction task on their first attempt. Individuals also solved problems faster if they were more persistent and had lower behavioral flexibility. Personality indirectly affected time to solve one of the three problems, by influencing time allocated to functional behaviors. Finally, adults solved the most difficult problem faster than juveniles. Overall, our study provides rare insight into the drivers underlying problem-solving performance of wild animals. Such insight could be used to improve management strategies and conservation efforts, such as food or bait deployment, tailored to suit the foraging innovative abilities of target individuals in new and changing environments. </span></p>
Data from: From fine-scale foraging to home ranges: a semi-variance approach to identifying movement modes across spatiotemporal scales
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Grow up, be persistent and stay focused: keys for solving foraging problems by free-ranging possums
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Foraging niche shift maintains breeding parameters of a colonial waterbird during range expansion
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High mortality rates in a juvenile free-ranging marine predator and links to dive and forage ability
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Data from: Processing of acceleration and dive data on-board satellite relay tags to investigate diving and foraging behaviour in free-ranging marine predators
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Foraging in fear: spatial variation in range use, vigilance, and perceived risk in Chacma baboons (Papio ursinus)
Spatial variation in predation risk can lead to behavioural modifications including increased vigilance and avoidance. Coined the landscape of fear, previous studies have suggested that an animal's spatial perception of risk is the most critical landscape within their environment. Few studies have integrated the landscape of fear with spatial measures of risk and assessments of resource availability within a single analytical framework. We assessed whether long-term space use in chacma baboons was influenced by the distribution of key resources, perceived risk and the probability of encountering threats. We also assessed whether vigilance, varied spatially in response to potential threats. Contrary to expectations, perceived risk was primarily related to other baboon groups rather than predators, with the baboons modifying their range use to reduce intergroup encounters. In contrast, the probability of encountering leopards was the primary determinant of spatial variation in vigilance behaviour. Collectively, while other groups have a greater influence on space use, the baboons are critically aware of the predation risk landscape, modifying their vigilance strategies in response to leopards. Baboons thus use different long-term strategies to alleviate the risks imposed by different threats. Our methodological approaches provide a framework for future studies looking to tease apart these effects.
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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