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Fig. 1 in The First Experience In New Technologies Of Breeding And Semi-Natural Eggs Incubation Of Northern Emys Orbicularis In Glass-House Aquaculture In Latvia
Fig. 1. Scheme of the construction of the experimental glass-house: 1 – building of the Centre; 2 – filter and air compressor part; 3, 4, 5 – unused in the experiment parts of the basin; 6, 7 – experimental parts of the basin; 8, 9 – places for eggs-laying; two small red-yellow circles – A and B points of measurement of temperature on concrete shore and in water.
Fig. 4 in The First Experience In New Technologies Of Breeding And Semi-Natural Eggs Incubation Of Northern Emys Orbicularis In Glass-House Aquaculture In Latvia
Fig. 4. Plot of fitted model for temperature of sun-basking place (Tsunbask) and temperature of water in the basin (Twater) of the glass-house herpetoculture of E.orbicularis.
Fig. 2 in Allelic Diversity Of The Beta-Amylase Gene Bmy1 In Latvian Barley Breeding Lines
Fig. 2. Genotyping on the (1+6) bp Indel. A – (1+6) bp insertion; B – (1+6) bp deletion; C – heterozygote.
Fig. 5 in Ethological Aspects Of Biodiversity Within And Between Phylloscopus Species: Behavioral Variation Among Birds From The Centre And Periphery Of Breeding Ranges
Fig. 5. Ratio of males of different statuses from the number of all the males tried to occupy territories in the study area in 2007 – 2014.
Fig. 6 in Ethological Aspects Of Biodiversity Within And Between Phylloscopus Species: Behavioral Variation Among Birds From The Centre And Periphery Of Breeding Ranges
Fig. 6. Change of places of singing (1, 2, etc.) during a season in Wood Warblers. Examples for some different controlled males are indicated by the lines of different types (2007 – 2014).
Fig. 1 in Ethological Aspects Of Biodiversity Within And Between Phylloscopus Species: Behavioral Variation Among Birds From The Centre And Periphery Of Breeding Ranges
Fig. 1. Population densities of the Leaf Warblers in the study area at different stages of reproductive seasons of 2007 – 2014.
Fig. 2 in Ethological Aspects Of Biodiversity Within And Between Phylloscopus Species: Behavioral Variation Among Birds From The Centre And Periphery Of Breeding Ranges
Fig. 2. The overlapping of projections of Chiffchaff territories ('maximum-territories' according to the point mapping method) and the real segregating of the territorial rooms in space: a scheme.
FIGURE 2 in First record of a breeding colony of Masked Booby (Sula dactylatra Lesson, 1831; Sulidae) in the main island of the archipelago of Fernando de Noronha (Pernambuco, Brazil)
FIGURE 2: Map of Fernando de Noronha Archipelago, highlighting the location of the breeding colony of Sula dactylatra, located at the end of the Capim-açu trail (03°52'49.38"S; 32°27'29.47"W). Unscaled. Source: © 2016 google maps.
FIGURE 1 in First record of a breeding colony of Masked Booby (Sula dactylatra Lesson, 1831; Sulidae) in the main island of the archipelago of Fernando de Noronha (Pernambuco, Brazil)
FIGURE 1: Breeding colony of Sula dactylatra located at the end of the Capim-açu trail, main island of Fernando de Noronha archipelago, September 2015. Photo: Deborah Gutierrez, 2015.
Data from: Breeding phenology drives variation in reproductive output, reproductive costs and offspring fitness in a viviparous ectotherm
<p>Phenological advances are a widespread response to global warming and can contribute to determine the climate vulnerability of organisms, particularly in ectothermic species which are highly dependent on ambient temperatures to complete their life cycle. Yet, the relative contribution of breeding dates and temperature conditions during gestation on fitness of females and their offspring is poorly documented in reptiles. Here, we exposed females of the common lizard <em>Zootoca vivipara </em>to contrasting thermal scenarios (cold versus hot treatment) during gestation and quantified effects of parturition dates and thermal treatment on life-history traits of females and their offspring for one year. Overall, our results suggest that parturition date has a greater impact than thermal conditions during gestation on life history strategies. In particular, we found positive effects of an earlier parturition date on juvenile survival, growth and recruitment suggesting that environmental dependent selection and/or differences in parental quality between early and late breeders underlie seasonal changes in offspring fitness. Yet, an earlier parturition date compromised the energetic condition of gravid females, which suggests the existence of a mother-offspring conflict regarding the optimisation of parturition dates. While numerous studies focused on the direct effects of alterations in incubation temperatures on reptile life-history traits, our results highlight the importance of considering the role of breeding phenology in assessing the short- and long-term effects of thermal developmental plasticity.</p>
It is good to be average: Ecological correlates of breeding phenology in an Arctic seabird, Alle alle (Dovekie)
<p>Recognising importance of deviation from a population mean in an animal's behavior is not only necessary to understand the evolution and stability of the whole system but also to predict the future of a population in an altering environment. Arctic seabirds are expected to exhibit high synchronization in timing of breeding at the population level, due to highly seasonal and harsh environmental conditions. Nevertheless, even in such a highly synchronized system, there are always some earlier and later breeders, and what causes this inter-pair variation remains an intriguing question. Using a set of eight years of data on the dovekie (<em>Alle alle</em>), a small Arctic seabird, we examined potential drivers of the observed distribution of breeding phenology. We found that dovekie pairs were quite repeatable in their phenology, and preserved their phenological status, with their chicks hatching consistently before, during, or after the population median date for hatching, despite that calendar position of the median shifted between years. This would suggest that the timing of breeding is associated with some pair characteristics, either via properties of the nest or/and some partners traits. However, breeding phenology of the pair was not dependent on nest location, neither pair bond duration nor morphological similarity of the partners. Importantly, timing of breeding was negatively associated with chick growth rate, indicating fitness consequences of phenology. Our simulation further suggests that chance of fledgling survival in the context of predation may be the highest for the chicks that hatched during the peak of hatching period. While our results suggest that the timing of the breeding is important for the reproductive outcome, further research is required to determine the drivers of the repeatability within the dovekie pairs.</p>
Figure 3 in Pollination and breeding system in two sympatric Fuchsia (Onagraceae) species at the Parque Nacional do Itatiaia (Brazil): Hummingbirds, insects and facultative self-pollination
Figure 3. Importance Value Index (IVI) for the pollinators of Fuchsia campos-portoi, F. regia, and the overall for both species (Total).
Figure 2. A-D in Pollination and breeding system in two sympatric Fuchsia (Onagraceae) species at the Parque Nacional do Itatiaia (Brazil): Hummingbirds, insects and facultative self-pollination
Figure 2. A-D. Pollinators of F. regia. A and B. Clytolaema rubricauda (Trochilidae) showing large amounts of pollen of F. regia on the throat (B). C and D. Acroceridae flies. E-H. pollinators of F. campos-portoi. E. and F. Stephanoxis lalandi (Trochilidae). Notice the pollen onto the throat (F). G. and H. Bombus brasiliensis (Apidae). Notice the stigmatic surface touching the bee's ventral region (H).
Figure 5 in Effect of season and housing systems on various physiobehavioral attributes of local breed of rabbits (Oryctolagus cuniculus) in Southern Punjab, Pakistan
Figure 5. Effect of seasons on TSL of male rabbits under cage system. Data is mean (± SE) and different letters on the bars depict statistical difference at (p ≤ 0.05) for seasons.
Figure 4 in Effect of season and housing systems on various physiobehavioral attributes of local breed of rabbits (Oryctolagus cuniculus) in Southern Punjab, Pakistan
Figure 4. Effect of housing system on various physiological attributes of rabbits. Data is mean (± SE). Similar letters on the bars indicate non-significant (p ≥ 0.05) difference within caged and colony reared rabbits for rectal temperature. Different letters on the bars indicate significant (p ≤ 0.05) difference within caged and colony reared rabbits for respiration rate.
Figure 1 in Breeding and reproductive behaviour of the neo-tropical opossum, Didelphis marsupialis insularis, Allen 1902 under captive conditions
Figure 1. Design and layout of Adult Units using a Single Corridor Layout. Source: Tardieu and Garcia, 2018).
Figure 2 in Breeding and reproductive behaviour of the neo-tropical opossum, Didelphis marsupialis insularis, Allen 1902 under captive conditions
Figure 2. Photo of opossum breeding unit showing – (A) Human Access panel to Male; (B) Male Cage; (C & D) Male Access panels to females; (E) Female Cage; (F) Human Access panel to Female.
Fig. 1 in Pantala flavescens successfully breeding for the second time in Malta (Maltese Archipelago) (Odonata: Libellulidae)
Fig. 1 – The four reservoirs where male Pantala flavescens were seen holding territory and from where the exuviae were collected.
Figure 6. 24 h in Summer diving and haul-out behavior of leopard seals (Hydrurga leptonyx) near mesopredator breeding colonies at Livingston Island, Antarctic Peninsula
Figure 6. 24 h rose plots of leopard seal dive activity by hour of day from the parametric data set. Red arrows represent the mean vector of dive activity. (A) all dives pooled from the 2010 season (n = 6,017) from three seals (4OR, 9OR, and 390G). (B) Activity for leopard seal 4OR (n = 2,292 dives) was significantly different from the 2010 mean and the other two seals; (Watson's two sample tests, P <0.05). (C) Activity for leopard seal 9OR (n = 2,283 dives) was significantly different from the 2010 mean and the other two seals (Watson's two sample tests, P <0.001). (D) Activity for leopard seal 390G (n = 1,442 dives) was significantly different from the 2010 mean and the other two seals (Watson's two sample tests, P <0.001).
Figure 5. 24 h in Summer diving and haul-out behavior of leopard seals (Hydrurga leptonyx) near mesopredator breeding colonies at Livingston Island, Antarctic Peninsula
Figure 5. 24 h rose plots of dive activity by hour of day. The red arrows represents the mean vector (direction = time of day, length = mean number of dives) of dive activity (dives/h) for: (A) all dives (n = 40,308). Gray shaded areas represent the crepuscular periods (+1 h from sunset and sunrise) across the study; (B) all dives pooled from the 2010 season (n = 13,373); (C) all dives pooled from the 2011 season (n = 6,545); (D) all dives pooled from the 2014 season (n = 8,723). The null hypothesis that patterns of diel dive activity were equivalent between seasons could not be rejected (Watson's two-sample tests, P> 0.05).
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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.