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78 results for “diet seasonality”
Fig. 4 in Gape size influences seasonal patterns of piscivore diets in three Neotropical rivers
Fig. 4. Relationship between estimated predator gape width (from Fig. 3) and measured prey length size. Significant relationships are represented by solid lines and non-significant relationships with dotted lines. a) C. temensis and C. orinocensis; b) B. lucius and B. cuvieri.
Fig. 4 in Spatial, seasonal and ontogenetic variation in the diet of Astyanax aff. fasciatus (Ostariophysi: Characidae) in an Atlantic Forest river, Southern Brazil
Fig. 4. Representation of the similarity patterns (Euclidean distances) in the seasonal and spatial diet composition of Astyanax aff. fasciatus at two sites on the rio das Pedras, Guarapuava, PR, Brazil.
Fig. 3 in Spatial, seasonal and ontogenetic variation in the diet of Astyanax aff. fasciatus (Ostariophysi: Characidae) in an Atlantic Forest river, Southern Brazil
Fig. 3. Diet composition of Astyanax aff. fasciatus at two sites on the rio das Pedras, according to season. Categories: plants, invertebrates, terrestrial invertebrates, aquatic invertebrates, terrestrial vegetation, aquatic vegetation and sediments and detritus.
Fig. 6 in Spatial, seasonal and ontogenetic variation in the diet of Astyanax aff. fasciatus (Ostariophysi: Characidae) in an Atlantic Forest river, Southern Brazil
Fig. 6. Ordination of individuals of Astyanax aff. fasciatus of different sizes according to the higher feeding preference. (SL1:> 50 mm; SL2: 51-75 mm and SL3: <76 mm).
Fig. 2 in Spatial, seasonal and ontogenetic variation in the diet of Astyanax aff. fasciatus (Ostariophysi: Characidae) in an Atlantic Forest river, Southern Brazil
Fig. 2. Diet composition of Astyanax aff. fasciatus at sites A (a) and B (b) on the rio das Pedras, according to the origin of the ingested items (value between parentheses corresponds to the feeding index of each category).
Fig. 5 in Spatial, seasonal and ontogenetic variation in the diet of Astyanax aff. fasciatus (Ostariophysi: Characidae) in an Atlantic Forest river, Southern Brazil
Fig. 5. Diet composition of Astyanax aff. fasciatus among the three established standard length classes, and according to the plant or animal origin of the item. (SL1:> 50 mm; SL2: 51-75 mm and SL3: <76 mm; value between parentheses corresponds to the feeding index of each category).
Fig. 4 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond
Fig. 4. Niche breadth values to fish assemblage in the Sinhá Mariana pond (Mato Grosso State, Brazil) using Levin's stan- dardized index, during rainy and dry seasons.
Fig. 5 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond
Fig. 5. Values of trophic niche breadth (mean ± standard error) of fish species in the Sinhá Mariana pond (Mato Grosso State, Brazil) during rainy and dry seasons.
Fig. 3 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond
Fig. 3. Dendrogram of diet similarity of the fish assemblage in the Sinhá Mariana pond (Mato Grosso State, Brazil) showing the trophic guilds during rainy (A) and dry (B) seasons. Abbreviations of the species names are showing in table 1.
Fig. 2 in Diet seasonality and food overlap of the fish assemblage in a pantanal pond
Fig. 2. Water level in the in the studied region, Sinhá Mariana pond, Mato Grosso State, Brazil, from March/2000 to February/2001, showing the wet and dry seasons. These dates were provided by Agência Nacional de Águas (ANA).
Body size modulates the extent of seasonal diet switching by large mammalian herbivores in Yellowstone National Park
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Seasonal and ontological variation in diet and age-related differences in prey choice, by an insectivorous songbird
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Data from: Seasonal diet partition among top predators of a small island, Iriomotejima island in the Ryukyu Archipelago, Japan
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Raw data for Maier et al. "Seasonal controls on the diet, metabolic activity, tissue reserves and growth of the cold-water coral Lophelia pertusa"
<p>All raw data presented in the article:</p> <p>Maier SR, Bannister RJ, van Oevelen D and Kutti T: Seasonal controls on the diet, metabolic activity, tissue reserves and growth of the cold-water coral <em>Lophelia pertusa</em>. Coral Reefs, <em>in press.</em></p>
Urban peregrine falcon (Falco peregrinus) breeding season diet in UK, 2020–2022
<p>Diets of urban peregrine falcons in UK were monitored via nest cameras during the breeding season (March-June) from 2020–2022. All prey items were then identified to species level where possible, by Ed Drewitt. This dataset contains the prey items recorded during each year of the study and location of the sites. </p>
Fish resist temptation from junk food: State-dependent diet choice in reproductive Atlantic cod (Gadus morhua) facing seasonal fluxes of lipid-rich prey
<p>In ecological sciences, animal diets are often simplified to "resources" or "caloric quantities". However, in the present study, we investigated the optimal foraging strategy of Atlantic cod (Gadus morhua) when both macro- and micro-nutritional requirements are accounted for. Proteins cannot be synthesized from fatty acids, so the proteins for gonad development must come from other dietary sources. In addition, micronutrients are required in smaller quantities. For example, for cod, arachidonic acid (ARA) acts as a micronutrient precursor for prostaglandins, which is important for reproduction. We formulated a dynamic state-dependent model to make predictions about optimal diet choice and foraging behavior. We applied the model to a case study in the strait between Denmark and Sweden. The model predicted that energy acquired from dietary protein should be twice that acquired from lipids, with a small increase in the lipid requirements when gonads are growing. The model also predicted that the "energy sparing effect of lipids" made it beneficial to engage in risky foraging activity to supplement a lean diet with a little bit of fat. When we re-constructing the model to also optimize ARA uptake, the cod consumed relatively more ARA-rich crabs in the months prior to spawning, despite the otherwise poor energetic value of this prey. In support of the model predictions, field observations indicated that lipid stores reached a peak shortly after the arrival of the lipid-rich migrating herring and the fatty acid signal of these herring were evident in the liver of nearly all cod. Three month later, only half of the cod contained the herring-derived fatty acid signal, supporting the predicted shift in prey type prior to spawning. From these model predictions and field observations, we conclude that, also in the wild, nutritional requirements can be at least as important as pure energy acquisition.</p>
Focal vs. faecal: Seasonal variation in the diet of wild vervet monkeys from observational and DNA metabarcoding data
<p>1. Assessing the diet of wild animals reveals valuable information about their ecology and trophic relationships that may help elucidate dynamic interactions in ecosystems and forecast responses to environmental changes.</p> <p>2. Advances in molecular biology provide valuable research tools in this field. However, comparative empirical research is still required to highlight strengths and potential biases of different approaches. Therefore, this study compares environmental DNA and observational methods for the same study population and sampling duration.</p> <p>3. We employed DNA metabarcoding assays targeting plant and arthropod diet items in 823 faecal samples collected over 12 months in a wild population of an omnivorous primate, the vervet monkey (<em>Chlorocebus pygerythrus</em>). DNA metabarcoding data were subsequently compared to direct observations.</p> <p>4. We observed the same seasonal patterns of plant consumption with both methods, however, DNA metabarcoding showed considerably greater taxonomic coverage and resolution compared to observations, mostly due to the construction of a local plant DNA database. We found a strong effect of season on variation in plant consumption largely shaped by the dry and wet seasons. The seasonal effect on arthropod consumption was weaker but feeding on arthropods was more frequent in spring and summer, showing overall that vervets adapt their diet according to available resources. The DNA metabarcoding assay outperformed also direct observations of arthropod consumption in both taxonomic coverage and resolution.</p> <p>5. Combining traditional techniques and DNA metabarcoding data can therefore not only provide enhanced assessments of complex diets or reveal trophic interactions to the benefit of wildlife conservationists and managers but also opens new perspectives for behavioural ecologists studying whether diet variation in social species is induced by environmental differences or might reflect selective foraging behaviours.</p>
Figure 1 in Seasonal and ontogenetic diet shift of two sympatric cyprinid fish species from the temperate Karamenderes River, Çanakkale, Turkey
Figure 1. The Karamenderes River and sampling station.
Figure 1 in Seasonal changes in Tawny Owl (Strix aluco) diet in an oak forest in Eastern Ukraine
Figure 1. Location of the study area with indication of pellet collection points.
Data from: Seasonal changes in diet and toxicity in the Climbing Mantella frog (Mantella laevigata)
Poison frogs acquire chemical defenses from the environment for protection against potential predators. These defensive chemicals are lipophilic alkaloid toxins that are sequestered by poison frogs from dietary arthropods and stored in skin glands. Despite decades of research focusing on identifying poison frog toxins, we know relatively little about how environmental variation and subsequent arthropod availability impacts toxicity in poison frogs. We investigated how seasonal environmental variation influences poison frog toxin profiles through changes in the diet of the Climbing Mantella (Mantella laevigata). We collected M. laevigata females on the Nosy Mangabe island reserve in Madagascar during the wet and dry seasons and tested the hypothesis that seasonal differences in temperature and rainfall are associated with changes in the diet and skin toxin profiles of M. laevigata. The arthropod diet of each frog was characterized into five groups (i.e. ants, termites, mites, larvae and other) using visual identification and cytochrome oxidase 1 DNA barcoding. We found that frog diet differed between the wet and dry seasons, where frogs had a more diverse diet in the wet season and consumed a higher percentage of ants in the dry season. To determine if these differences in diet were associated with variation in frog defensive chemical composition, we used gas chromatography / mass spectrometry to quantify toxins from individual skin samples. Although the assortment of identified toxins was similar across seasons, we detected significant differences in the abundance of certain alkaloids, which we hypothesize reflects seasonal variation in the diet of M. laevigata. We suggest that tThese variations could originate from seasonal changes in either arthropod leaf litter composition or changes in frog behavioral patterns between wet and dry seasons. Although additional studies are needed to understand the consequences of long-term environmental shifts, this work suggests that toxin profiles are relatively robust against short-term environmental perturbations.
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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.