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1,380 results for “Foraging”
Moose Foraging in Temperate Forests of Central Massachusetts 2005
The "re-wilding" of ecosystems with extirpated large mammals has become a focus of recent scientific and conservation initiatives; however, it is unclear how proposed re-introductions will influence systems that are often vastly different from those that occurred before these animals were extirpated. Moose, the northeast’s largest Holocene browser, have recently expanded across southern New England’s temperate forest landscape after an absence of 200 years, realizing a natural re-wilding experiment. Moose have been well-studied throughout the boreal forest biome; however, because they are rare today in temperate forests, almost nothing is known of their ecology, behavior, or potential impacts to these ecosystems. This study investigated patterns of winter moose browse in order to: (1) gain insight into the likely influences of this herbivore on the vegetation patterns of the region; and (2) to identify the most important habitat features influencing moose winter foraging activity at a landscape and site scale. Two large forested watersheds in Central Massachusetts were sampled for moose browse, habitat features, and disturbances including forest harvesting and human activity. Chi-square and t-tests were used to identify browse species preferences of moose, and step-wise multiple regression was used to identify habitat variables that are strong predictors of browse intensity. Hardwoods and hemlock were favored over white pine, and browse intensity was significantly and positively related to forest harvesting, elevation, swamps, and distance to human settlement. The results from this study suggest that in the winter months, moose populations are concentrating in remote, elevated areas that are broken by swamps and have intensive forest harvests. In areas that support high moose densities, selective browsing, particularly in regenerating harvests, could promote less favored species like white pine at the expense of hardwoods and hemlock. The strong association between
Data from: Cascading effects of apex predator recovery on rodent foraging activity and seed predation
This dataset was collected to examine the effects of apex predator presence on post-dispersal seed predation and rodent foraging behavior in Mediterranean ecosystems of southern Spain. The study focused on the Iberian lynx (Lynx pardinus) as a top predator capable of altering mesopredator and small mammal communities through cascading interactions. We used the fleshy-fruited tree Pyrus bourgaeana as a model species and conducted a seed predation experiment in two areas with and without lynx presence. A total of 1152 seeds were placed in 144 seed depots across forest and open habitats and three microhabitat types (rock, shrub, and open ground). Rodent activity and foraging behavior were monitored using 36 camera traps installed at a subset of seed depots, and rodent abundance was estimated with live trapping one week later. The dataset includes seed predation counts, camera-trap records of rodent visits, live-trapping results, and vegetation cover estimates. These data allow investigation of how predation risk and habitat structure influence rodent activity and post-dispersal seed predation dynamics in Mediterranean landscapes.
Forage Resources in Warming and Removal Plots, Almont, CO, 2019
This is data collected to explore the impacts of warming and dominant species removal on the quantity and quality of plants for cattle foraging. The data were collected from the Colorado low elevation site (Almont) of the Warming and Removal in Mountains experiment which examines the direct and indirect impacts of climate change on plant and soil communities. Treatments include a control, warming (+1.5C), removal of the dominant species (Wyethia Amplexicalus), and both warming and dominant species removal. The dataset includes data that were collected in 2019 as well as historical data from the site. From 2019 we have in situ air temperature contained in and soil temperature data and an assessment of plant cover from every plot. We then have a compiled set of plant traits for each of the nine most common species including the leaf nitrogen, crude protein content, and forage quality class which are used for analysis on forage quality. The dataset also includes the annual plant cover data collected at peak season from 2013 to 2021 which was compared to daily temperature and precipitation data from the same date range collected by the National Oceanic and Atmospheric Administration. All reported figures and statistics published can be created from this data package.
Data on anatomy, movement, and foraging behaviour of three cattle breeds of different productivity
<p>Given are</p> <ul> <li>the breed of the cattle (AH: Angus×Holstein, OB: Original Braunvieh, HC: Highland cattle),</li> <li>the age of the cows in months,</li> <li>the body weight at the beginning (Weight_1) and the end (Weight_2) of the experiment in kg,</li> <li>the summarised base of all eight claws of each cow in cm<sup>2</sup>,</li> <li>the average number of steps per hour as recorded by the pedometer,</li> <li>the average speed in m h<sup>-1</sup>,</li> <li>the ratio of the time spent lying as recorded by the pedometer,</li> <li>the evenness of space use calculated as Camargo’s index based on GPS positions,</li> <li>the evenness of forage selection calculated as Pielou’s evenness,</li> <li>the average forage quality indicator value (Briemle, Nitsche, and Nitsche 2002) of the selected diet,</li> <li>the ratio of broad leaved grasses, legumes, thistles and shrubs within the diet of each cow.</li> </ul> <p>All measurements conducted on the pastures are presented as averaged over all pastures (xxx_mean) and separatly for the three pastures (xxx_1, xxx_2, xxx_3).</p>
Statistical analysis and dataset for: Acute exposure to caffeine improves foraging in an invasive ant
<p>Linked to the journal article published in iScience (https://doi.org/10.1016/j.isci.2024.109935).</p> <p><em><strong>Abstract</strong></em></p> <p>Argentine ants, <em>Linepithema humile</em>, are a particularly concerning invasive species. Control efforts often fall short likely due to a lack of sustained bait consumption. Using neuroactives, such as caffeine, to improve ant learning and navigation could increase recruitment and consumption of toxic baits. Here, we exposed <em>L. humile</em> to a range of caffeine concentrations and a complex ecologically relevant task: an open landscape foraging experiment. Without caffeine, we found no effect of consecutive foraging visits on the time the ants take to reach a reward, suggesting a failure to learn the reward’s location. However, under low to intermediate caffeine concentrations ants were 38% faster with each consecutive visit, implying that caffeine boosts learning. Interestingly, such improvements were lost at high doses. In contrast, caffeine had no impact on the ants’ homing behavior. Adding moderate levels of caffeine to baits could improve ant’s ability to learn its location, improving bait efficacy.</p> <p> </p> <ul> <li><strong>sample_videos.zip</strong>: A subset of the videos used for data extraction. The complete collection of videos is not publicly accessible primarily due to their considerable size (105.35GB). Requests for access to the entire video set are encouraged.</li> <li><strong>Preregistration.pdf</strong>: The preregistration created for data collection and analysis with justifications for deviations from it.</li> <li><strong>OpLan_D1_metadata.csv</strong>: Manually collected metadata pertaining to experimental conditions, subjects, and treatments.</li> <li><strong>OpLan_D2_DLC_coordinates.zip</strong>: Cartesian coordinates obtained from DeepLabCut for each of the videos analysed.</li> <li><strong>OpLan_C1_reproject_coordinates.py</strong>: Python code used to standardise the ants' coordinates by ensuring the same corner of the A4 platform was used as the origin of the cartesian referential of all videos. The known dimensions of the A4 were further used to convert coordinates from pixels to millimetres.</li> <li><strong>OpLan_C2_remove_impossibilities.py</strong>: Python code used to account for DeepLabCut tracking errors, with any ant movement exceeding two millimetres per frame being considered implausible and subsequently removed.</li> <li><strong>OpLan_C3_find_changepoints.py</strong>: Python code used to automatically derive the times at which an ant reached and left the reward from the tracking data.</li> <li><strong>OpLan_C4_inward_outward_data.py</strong>: Python code used to calculate relevant measures for the foodward (inward) and nestward (outward) journey such as journey duration, mean instantaneous speed and path tortuosity.</li> <li><strong>OpLan_C5_Figure_2.R</strong>: R code used to produce the raw elements of Figure 2.</li> <li><strong>OpLan_C6_Figure_4.R</strong>: R code used to produce the raw elements of Figure 4.</li> <li><strong>OpLan_C7_Statistical_Analysis.html</strong>: Complete statistical analysis and code for the manuscript.</li> </ul>
Data and script for Van Berkel et al: Can starlings use a reliable cue of future food deprivation to adaptively modify foraging and fat reserves?
<p>Supporting materials for:</p> <p><strong>Can starlings use a reliable cue of future food deprivation to adaptively modify foraging and fat reserves?</strong></p> <p>Menno van Berkel<sup>a</sup>, Melissa Bateson<sup>a</sup>, Daniel Nettle<sup>a</sup> and Jonathon Dunn<sup>a</sup>*</p> <p><sup>a</sup>Centre for Behaviour and Evolution & Institute of Neuroscience, Newcastle University, Newcastle, UK</p> <p>*Author for correspondence (email: jonathon.dunn@newcastle.ac.uk; telephone: (+44)7730015855; postal address: Institute of Neuroscience, Henry Wellcome Building, The Medical School, Framlington Place, Newcastle University, Newcastle upon Tyne, UK, NE2 4HH).</p> <p>R script and 3 .csv files.</p>
Ecology and conservation of socially learned foraging tactics in odontocetes
<h3>Overview</h3> <p>This package contains the data and R code to replicate the analyses and figures of the review article, "Ecology and conservation of socially learned foraging tactics in odontocetes", submitted to the special issue of Philosophical Transactions B, "Animal Culture: conservation in a changing world". </p> <p>Metadata for CSV files used for analyses are provided below, and detailed instructions on running code are available at: https://github.com/JoaoVallePereira/Toothed_Whales_Forag_Tactics. For full description of variables, see supplemental material associated with publication. </p> <div> <h3>Main data table - dataTable_Forag_Tactics.csv</h3> </div> <table> <tbody> <tr> <th>Variable</th> <th>Class</th> <th>Description</th> </tr> </tbody> <tbody> <tr> <td>common_name</td> <td>Character</td> <td>The common name of the species exhibiting the foraging tactic</td> </tr> <tr> <td>latin_name</td> <td>Character</td> <td>The Latin name of the species exhibiting the foraging tactic</td> </tr> <tr> <td>country</td> <td>Character</td> <td>The country that has jurisdiction over the region where the foraging tactic occurs</td> </tr> <tr> <td>region</td> <td>Character</td> <td>The region where the foraging tactic occurs</td> </tr> <tr> <td>animal_identity_data</td> <td>Character</td> <td>Whether identity information for the individual(s) exhibiting the foraging tactic is available</td> </tr> <tr> <td>number_of_animals</td> <td>Character</td> <td>The number of different individuals exhibiting the foraging tactic</td> </tr> <tr> <td>foraging_category</td> <td>Character</td> <td>The broad foraging category that the specific foraging tactic most closely aligns with</td> </tr> <tr> <td>foraging_tactic</td> <td>Character</td> <td>The specific foraging tactic</td> </tr> <tr> <td>tactic_driver</td> <td>Character</td> <td>The key factor influencing or determining the observed foraging tactic</td> </tr> <tr> <td>human_induced</td> <td>Character</td> <td>Whether the foraging tactic is human-induced or not</td> </tr> <tr> <td>prey_category</td> <td>Character</td> <td>The type of prey being targeted during the foraging tactic</td> </tr> <tr> <td>habitat</td> <td>Character</td> <td>The type of habitat in which the foraging tactic is exhibited</td> </tr> <tr> <td>prey_category</td> <td>Character</td> <td>The type of prey being targeted during the foraging tactic</td> </tr> <tr> <td>putative_specialised_foraging_tactic</td> <td>Character</td> <td>Foraging tactics having both individual identity information and evidence of being shared among conspecifics</td> </tr> <tr> <td>putative_cultural_foraging_tactic</td> <td>Character</td> <td>Foraging tactics with positive evidence of social learning</td> </tr> <tr> <td>transmission_direction</td> <td>Character</td> <td>How the foraging tactic is transmitted, given positive evidence of social learning</td> </tr> <tr> <td>nature_of_social_learning_evidence</td> <td>Character</td> <td>The type of evidence for social learning</td> </tr> <tr> <td>culture_acknowledgement</td> <td>Character</td> <td>The type of evidence for social learning</td> </tr> <tr> <td>evidence_for_discreteness_significance</td> <td>Character</td> <td>Evidence for differences in diet or foraging techniques that are stable</td> </tr> <tr> <td>threat_acknowledgement</td> <td>Character</td> <td>Whether the reviewed studies acknowledge anthropogenic threats</td> </tr> <tr> <td>threat_category</td> <td>Character</td> <td>For studies that acknowledge anthropogenic threats and impacts, the type of IUCN-CMP first-level threat classification</td> </tr> <tr> <td>threat_subcategory</td> <td>Character</td> <td>For studies that acknowledge anthropogenic threats and impacts, the type of IUCN-CMP second-level threat classification</td> </tr> <tr> <td>threat_direction</td> <td>Character</td> <td>Whether the acknowledged threats were considered a threat to or a consequence of the foraging tactic</td> </tr> <tr> <td>conservation_actions_acknowledgement</td> <td>Character</td> <td>Whether the reviewed studies acknowledge existing or proposed conservation actions related to the foraging tactic</td> </tr> <tr> <td>existing_conservation_actions_category</td> <td>Character</td> <td>Existing conservation actions related to the foraging tactic, the type of IUCN-CMP first-level action classification</td> </tr> <tr> <td>existing_conservation_actions_subcategory</td> <td>Character</td> <td>Existing conservation actions related to the foraging tactic, the type of IUCN-CMP second-level action classification</td> </tr> <tr> <td>proposed_conservation_actions_category</td> <td>Character</td> <td>Proposed conservation actions related to the foraging tactic, the type of IUCN-CMP first-level action classification</td> </tr> <tr> <td>proposed_conservation_actions_subcategory</td> <td>Character</td> <td>Proposed conservation actions related to the foraging tactic, the type of IUCN-CMP second-level action classification</td> </tr> <tr> <td>references</td> <td>Character</td> <td>Reviewed primary and secondary literature used to fill out metrics for the foraging tactic</td> </tr> </tbody> </table> <div> <h3> </h3> <h3>Maps data table - dataTable_Forag_Tactics_map.csv</h3> </div> <table> <tbody> <tr> <th>Variable</th> <th>Class</th> <th>Description</th> </tr> </tbody> <tbody> <tr> <td>common_name</td> <td>Character</td> <td>The common name of the species exhibiting the foraging tactic</td> </tr> <tr> <td>latin_name</td> <td>Character</td> <td>The Latin name of the species exhibiting the foraging tactic</td> </tr> <tr> <td>orca_ecotype</td> <td>Character</td> <td>The orca ecotypes exhibiting the foraging tactic</td> </tr> <tr> <td>country</td> <td>Character</td> <td>The country that has jurisdiction over the region where the foraging tactic occurs</td> </tr> <tr> <td>region</td> <td>Character</td> <td>The region where the foraging tactic occurs</td> </tr> <tr> <td>latitude</td> <td>Numeric</td> <td>The latitude where the foraging tactic occurs</td> </tr> <tr> <td>longitude</td> <td>Numeric</td> <td>The longitude where the foraging tactic occurs</td> </tr> <tr> <td>putative_specialised_foraging_tactic</td> <td>Character</td> <td>Foraging tactics having both individual identity information and evidence of being shared among conspecifics</td> </tr> <tr> <td>foraging_category</td> <td>Character</td> <td>The broad foraging category that the specific foraging tactic most closely aligns with</td> </tr> <tr> <td>tactic_cat_fact</td> <td>Factor (10 levels)</td> <td>The broad foraging category that the specific foraging tactic most closely aligns with</td> </tr> <tr> <td>evidence_for_discreteness_significance</td> <td>Character</td> <td>Evidence for differences in diet or foraging techniques that are stable</td> </tr> </tbody> </table>
Patch-burn grazing impacts forage resources in subtropical humid grazinglands
Subtropical humid grazing lands represent a large global land use and are important for livestock production, as well as supplying multiple ecosystem services. Patch-burn grazing (PBG) management is applied in temperate grazing lands to enhance environmental and economic sustainability; however, this management system has not been widely tested in subtropical humid grazing lands. The objective of this study was to determine how PBG affected forage resources, in comparison with the business-as usual full-burn (FB) management in both intensively managed pastures (IMP) and seminative (SN) pastures in subtropical humid grazing lands. We hypothesized that PBG management would create patch contrasts in forage quantity and nutritive value in both IMP and SN pastures, with a greater effect in SN pastures. A randomized block design experiment was established in 2017 with 16 pastures (16 ha each), 8 each in IMP and SN at Archbold Biological Station’s Buck Island Ranch in Florida. PBG management employed on IMP and SN resulted in creation of patch contrast in forage nutritive value and biomass metrics, and recent fire increased forage nutritive value. Residual standing biomass was significantly lower in burned patches of each year, creating heterogeneity within both pasture types under PBG. PBG increased digestible forage production in SN but not IMP pastures. These results suggest that PBG may be a useful management tool for enhancing forage nutritive value and creating patch contrast in both SN and IMP, but PBG does not necessarily increase production relative to FB management. The annual increase in tissue quality and digestible forage production in a PBG system as opposed to once every 3 yr in an FB system is an important consideration for ranchers. Economic impacts of PBG and FB management in the two different pasture types are discussed, and we compare and contrast results from subtropical humid grazing lands with continental temperate grazing lands.
Hummingbird foraging patterns across alpine meadows with RFID-equipped feeders in the HJ Andrews Experimental Forest, 2014-2017
Landscape changes can alter pollinator movement and foraging patterns which can in turn influence demographic processes of plant populations. In the Cascade Mountains of the Pacific Northwest, USA, forests are encroaching on alpine meadows that harbor diverse plant and pollinator communities. Whether encroachment and isolation of sub-meadows will influence pollinator foraging behaviors is unknown. To help assess those behaviors, subcutaneous Passive Integrated Transponders were implanted into 163 Rufous Hummingbirds (Selasphorus rufus), common avian pollinators in western North America and four arrays of five hummingbird feeders were established equipped with Radio Frequency Identification data loggers to passively relocate individuals at points throughout the landscape. The feeder arrays were established on four peaks along Frizzel Ridge in the H. J. Andrews Experimental Forest (Lookout Mountain, M1, M2, and Carpenter Mountain). A center feeder was established in a large, central alpine meadow and four satellite feeders c.a. 250m from the center. The satellite feeders were positioned such that at least one was in the open and connected to the center feeder by open habitat, one was in the open but separated from the center by coniferous forest canopy, and one was placed under coniferous forest canopy. Feeders were maintained for 1.5-12 weeks per year from 2014-2017.
EJR01 Foraging decisions underlying restricted space-use: effects of fire and forage maturation on large herbivore nutrient uptake on Konza Prairie
Recent models suggest that herbivores optimize nutrient intake by selecting patches of low to intermediate vegetation biomass. We assessed the application of this hypothesis to plains bison (Bison bison) in an experimental grassland managed with fire by estimating daily rates of nutrient intake in relation to grass biomass and by measuring patch selection in experimental watersheds in which grass biomass was manipulated by prescribed burning. Digestible crude protein content of grass declined linearly with increasing biomass, and the mean digestible protein content relative to grass biomass was greater in burned watersheds than watersheds not burned that spring (intercept; F1,251 = 50.57, P < 0.0001). Linking these values to published functional response parameters, ad libitum protein intake, and protein expenditure parameters, Fryxell's (Am. Nat., 1991, 138, 478) model predicted that the daily rate of protein intake should be highest when bison feed in grasslands with 400 - 600 kg/ha. In burned grassland sites, where bison spend most of their time, availability of grass biomass ranged between 40 and 3650 kg/ha, bison selected foraging areas of roughly 690 kg/ha, close to the value for protein intake maximization predicted by the model. The seasonal net protein intake predicted for large grazers in this study suggest feeding in burned grassland can be more beneficial for nutrient uptake relative to unburned grassland as long as grass regrowth is possible. Foraging site selection for grass patches of low to intermediate biomass help explain patterns of uniform space use reported previously for large grazers in fire-prone systems. This data set was used to test the forage maturation hypothesis in the Konza Prairie bison enclosure from 2012-2013. Our objectives were to quantify foraging site selection of Plains bison in order to determine if bison in a fire-prone grassland selected sites of low-to-intermediate forage biomass as posited by Fryxell’s (1991) forage mat
Inference based decisions in a hidden state foraging task: differential contributions of prefrontal cortical areas
<p>Tabular dataset of behavioral data in the hidden state foraging task. The data is stored as a unique table, with one row per "attempt", i.e. a poke for mice and a tap for humans.</p> <p>The table includes four distinct experiments, encoded in the Experiment column. Experiment "Learning" refers to Fig. 2, experiment "VaryingParameters" refers to Fig. 2h and Fig.3. Experiment "LearningAndVaryingParameters" refers to Fig. 4. Experiment "OptogeneticInactivation" refers to Fig. 5.</p> <p>The column "TestingSession" defines whether those sessions were used for the analysis. It is used to exclude adaptation sessions to a new protocol for rodents in the "VaryingParameters" and "OptogeneticInactivation" experiments.</p> <p>In the human case, after an incorrect transition the subject receives an error cue and does not tap. This is considered a "trial" (and also a "streak") but not an attempt. This causes the StreakNumber and PokeNumber columns to increase by 2 after an error cue.</p>
A refined method for studying foraging behaviour and body mass in group-housed European starlings.
<p>Datasets and R script corresponding to the following manuscript:</p> <p>A refined method for studying foraging behaviour and body mass in group-housed European starlings.</p> <p>Laboratory experiments on passerine birds have been important for testing hypotheses regarding the effects of environmental variables on the adaptive regulation of body mass. However, previous work in this area has suffered from poor ecological validity and animal welfare due to the requirement to house birds individually in small cages to facilitate behavioural measurement and frequent catching for weighing. Here we describe the social foraging system, a novel technology that permits continuous collection of individual-level data on operant foraging behaviour and body mass from group-housed European starlings (<em>Sturnus vulgaris</em>). We demonstrate rapid acquisition of operant key pecking, followed by foraging and body mass data from two groups of six birds maintained on a fixed-ratio operant schedule under closed economy for 11 consecutive days. Birds gained 6.0 ± 1.2 g (mean ± sd) between dawn and dusk each day and lost an equal amount overnight. Individual daily mass gain trajectories were non-linear, with the rate of gain decelerating between dawn and dusk. Within-bird variation in daily foraging effort (key pecks) positively predicted within-bird variation in dusk mass. However, between-bird variation in mean foraging effort was uncorrelated with between-bird variation in mean mass, potentially indicative of individual differences in daily energy requirements. We conclude that the social foraging system delivers refined data collection and offers potential for improving our understanding of mass regulation in starlings and other species.<strong> </strong></p>
Evolution of left-right asymmetry in the sensory system and foraging behavior during adaptation to food-sparse cave environments
<p>Laterality in relation to behavior and sensory systems is found commonly in a variety of animal taxa. Despite the advantages conferred by laterality (e.g., the startle response and complex motor activities), little is known about the evolution of laterality and its plasticity in response to ecological demands. In the present study, a comparative study model, the Mexican tetra (<em>Astyanax mexicanus</em>), composed of two morphotypes, i.e., riverine surface fish and cave-dwelling cavefish, was used to address the relationship between environment and laterality. The use of a machine learning-based fish posture detection system and sensory ablation revealed that the left cranial lateral line significantly supports one type of foraging behavior, i.e., vibration attraction behavior, in one cave population. Additionally, left-right asymmetric approaches toward a vibrating rod became symmetrical after fasting in one cave population but not in the other populations. Based on these findings, we propose a model explaining how the observed sensory laterality and behavioral shift could help adaptation in terms of the tradeoff in energy gain and loss during foraging according to differences in food availability among caves.</p> <p>This repository contains all of raw videos used in this study.</p> <p>Please let us know if you have any question on these videos</p>
Predator- and competitor-induced plasticity: How changes in foraging morphology affect phenotypic trade-offs.
Studies of phenotypic plasticity frequently demonstrate functional trade-offs between alternative phenotypes by documenting environment-specific costs and benefits. However, the functional mechanisms underlying these trade-offs are often unknown. For example, predator-induced traits typically provide superior predator resistance but slower growth, while competitor-induced traits provide better growth but inferior predator resistance. While the mechanisms underlying predator resistance have been identified, the mechanisms underlying differential growth have remained elusive. To determine whether competitor and predator environments affect individual growth by induced changes in foraging morphology, we raised wood frog tadpoles (Rana sylvatica) under a factorial combination of competitors and predators and assessed changes in mouthparts that might affect growth. In general, competitors induced relatively larger oral discs, wider beaks, and longer tooth rows, while predators induced relatively smaller oral discs, narrower beaks, and shorter tooth rows. These effects were interactive; the largest competitor-induced responses occurred under high predator density and the largest predator-induced responses occurred under low competition. Further, one of the tooth rows that commonly appeared under low predation risk was frequently absent under high predation risk. These discoveries suggest that predator and competitor environments can have profound effects on prey foraging structures and that these effects set up growth trade-offs between phenotypes that favor the evolution of phenotypically plastic responses.
Individual capture history affects site use and defensive behavior of foraging eastern copperheads at a recreational site in eastern Kentucky, 2022
This package contains behavioral, demographic, and environmental data from a study investigating the role individual capture history plays in shaping foraging and defensive behaviors of eastern copperheads (Agkistrodon contortrix) at a ~0.1 hectare recreational site in the Daniel Boone National Forest, Wolfe county, Kentucky. Behavioral data was collected using a four-stage trial simulating in-situ encounters between humans and vipers, where each stage is scored on a 0-3 scale according to the most extreme behavior exhibited. Each individual's total score was the sum of scores in Stages 1-4. Snakes were located via nightly visual surveys of the site during copperheads' active season. Each copperhead was caught after the conclusion of its' behavioral trial, and demographic information including sex, mass, snout-vent length, and total length were recorded. For snakes that had been detected and tagged at this site previous, PIT tag ID and number of years the individual was previously recaptured were also recorded. Air temperature, relative humidity, and soil temperature at a depth of 3 cm were recorded. Within our study system, result suggest that copperheads' defensive response to human approach is best explained by individual capture history, as opposed to temperature or body size.
Termite foraging data from bait mass loss at eleven locations at the Jornada Basin LTER site, 1988-2000
This data package contains data on yearly mass loss of termite baits at the Jornada Basin LTER site in southern New Mexico, USA. Termites are important to litter decomposition and nutrient cycling in desert grasslands. This study measured annual feeding activity on paper baits by subterranean termites in desert shrubland and black-grama (Bouteloua eriopoda) grassland ecosystems over twelve years. Eleven sites, known as the "consumer plots" were included in the study. Toilet paper roll termite baits were placed on grids on each consumer plot. Data include initial bait weights before deployment, and bait weights after they were retrieved from the field each year. Mass loss of the baits was calculated as a measure of termite foraging activity. This study is complete.
SBC LTER: Sea urchin foraging rates on giant kelp
These data describe the foraging rates of two sea urchin species (Strongylocentrotus purpuratus and Mesocentrotus franciscanus) on giant kelp (Macrocystis pyrifera) in laboratory mesocosms. Data are contained in two tables: 1) a data file describing the foraging rates of sea urchins as a function of urchin biomass where biomass was varied by manipulating the number of urchins in a foraging trial, and 2) a data file describing the foraging rates of sea urchins as a function of urchin biomass where biomass was varied by manipulating the size of urchins in a foraging trial.
SBC LTER: Reef: The size-dependent functional response of lobster foraging on purple urchin
These data summarize the results of a size-dependent functional response experiment in which California spiny lobster (Panulirus interruptus) foraged on purple urchins (Strongylocentrotus purpuratus). Lobster of different sizes foraged on one of three different size classes of urchins at 4-6 different densities of urchin. Data is used to support manuscript: DiFiore, B.P. and A.C. Stier. 2023. Variation in body size drives spatial and temporal variation in lobster-urchin interaction strength. Journal of Animal Ecology
Raw data used in Kumar et al. 2020: Barley shoot biomass responds strongly to N:P stoichiometry and intraspecific competition, whereas roots only alter their foraging
<p>Raw data used in Kumar et al. 2020: Barley shoot biomass responds strongly to N:P stoichiometry and intraspecific competition, whereas roots only alter their foraging</p>
Fig. 6 in Unravelling the foraging behavior of the southern stingray, Hypanus americanus (Myliobatiformes: Dasyatidae) in a Southwestern Atlantic MPA
Fig. 6. Illustrations of species-typical patterns of foraging behavior performed by Hypanus americanus in the FNA in phase 5 entitled as final phase. The sub-phases are named as (a) active take-off; (b) drift take-off; (c) rest; (d) bury. The arrow indicates the direction of the movement. The figures were drawn using original still photographs.
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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.