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188 results for “reproductive strategies”
Figure 1 in The reproductive strategies of clausiliid land snails from Northern Vietnam (Gastropoda: Stylommatophora)
Figure 1. Shell and clausilium of Oospira vanbuensis (a, c) and Phaedusa paviei (b, d, e). Scale bar – 1 mm.
Figure 7 in Chorion surface ultrastructure of loach Misgurnus anguillicaudatus: adaptation to the environment and correlation with the reproductive strategy
Figure 7. Internal pattern of chorion after water contact. Abbreviation: r, ridge. Magnification, × 1500.
Figure 8 in Chorion surface ultrastructure of loach Misgurnus anguillicaudatus: adaptation to the environment and correlation with the reproductive strategy
Figure 8. Internal characters of egg membrane after stickiness removal. Abbreviation: m, microvilli. Magnification, × 3000.
Figure 5 in Chorion surface ultrastructure of loach Misgurnus anguillicaudatus: adaptation to the environment and correlation with the reproductive strategy
Figure 5. Micropyle at higher magnification. Abbreviations: mc, micropylar canal; sg, sinistral groove. Magnification, × 2500.
Figure 2 in Chorion surface ultrastructure of loach Misgurnus anguillicaudatus: adaptation to the environment and correlation with the reproductive strategy
Figure 2. Chorion outer surface of M. anguillicaudatus egg. Abbreviation: p, pore. Magnification, × 7000.
Figure 4 in Chorion surface ultrastructure of loach Misgurnus anguillicaudatus: adaptation to the environment and correlation with the reproductive strategy
Figure 4. Micropyle at the animal pole. Abbreviations: mp, micropyle; hp, hollow pit. Magnification, × 120.
Figure 3 in Chorion surface ultrastructure of loach Misgurnus anguillicaudatus: adaptation to the environment and correlation with the reproductive strategy
Figure 3. Envelope surface of loach egg after treatment with trypsin solution. Abbreviations: f, bud-like fillings; p, pore. Magnification, × 7500.
Figure 1 in Functional necrophilia: a profitable anuran reproductive strategy?
Figure 1. Necrophilia in Rhinella proboscidea in a central Amazonian headwater stream. Thousands of eggs (arrow) from a single reproductive event, in a small patch of a headwater stream (A). Two males in a battle for a drowned female. The larger (arrowed) is in amplexus and compressing the female's abdomen with his legs, which resulted in expulsion of the oocytes (B). Male compressing the abdomen of a dead female, which resulted in expulsion of her oocytes (C).
Figure 1 in Reproductive biology and ecological strategies of three species of medicinal leeches (genus Hirudo)
Figure 1. The hatchling weight distribution of three Hirudo species. (A) Hirudo verbana; (B) Hirudo orientalis; (C) Hirudo medicinalis.
Figure 2 in Reproductive biology and ecological strategies of three species of medicinal leeches (genus Hirudo)
Figure 2. Growth curves of three Hirudo species demonstrating that H. medicinalis and H. orientalis had similar patterns of growth, whereas H. verbana initially lagged behind the other two species but its growth rate subsequently increased and caught up.
Figure 3 in Reproductive biology and ecological strategies of three species of medicinal leeches (genus Hirudo)
Figure 3. Survival rates of Hirudo species demonstrating similar survival patterns in H. orientalis and H. medicinalis and a higher mortality in H. verbana.
Figure 8 in The influence of flood pulses on the reproductive strategy of two species of passalid beetle in the fluvial archipelago of Anavilhanas, Amazon, Brazil
Figure 8. Monthly abundance of larvae of Passalus punctiger in the different developmental stages for the period between April 1996 and March 1997 at the ecological station of Anavilhanas, Novo Airão, Amazonas State. Notes: Spotted line, first instar; black line, second instar; white line, third instar.
Figure 7 in The influence of flood pulses on the reproductive strategy of two species of passalid beetle in the fluvial archipelago of Anavilhanas, Amazon, Brazil
Figure 7. Analysis using Pearson's correlation coefficient to test for a relationship between the pluviometric index and the number of larvae of Passalus punctiger between April 1996 and March 1997 at the ecological station of Anavilhanas, Novo Airão, Amazonas State.
Figure 6 in The influence of flood pulses on the reproductive strategy of two species of passalid beetle in the fluvial archipelago of Anavilhanas, Amazon, Brazil
Figure 6. Analysis using Pearson's correlation coefficient to test for a relationship between the water level of the Negro River and the number of larvae of Passalus punctiger between April 1996 and March 1997 at the ecological station of Anavilhanas, Novo Airão, Amazonas State.
Figure 5 in The influence of flood pulses on the reproductive strategy of two species of passalid beetle in the fluvial archipelago of Anavilhanas, Amazon, Brazil
Figure 5. Variation in the water level of the Negro River plotted against the monthly abundance of larvae of Passalus punctiger at the ecological station of Anavilhanas, Novo Airão, Amazonas State, between April 1996 and March 1997. Notes: Line, abundance of larvae; columns, average level (m).
Figure 4 in The influence of flood pulses on the reproductive strategy of two species of passalid beetle in the fluvial archipelago of Anavilhanas, Amazon, Brazil
Figure 4. Monthly abundance of larvae of Passalus abortivus in the different developmental stages collected between April 1996 and March 1997 at the ecological station of Anavilhanas, Novo Airão, Amazonas State. Notes: Spotted line, first instar; black line, second instar; white line, third instar.
Figure 1 in The influence of flood pulses on the reproductive strategy of two species of passalid beetle in the fluvial archipelago of Anavilhanas, Amazon, Brazil
Figure 1. Variation in the water level of the Negro River plotted against the monthly abundance of larvae of Passalus abortivus collected between April 1996 and March 1997 from 10 islands on the alluvial plain, which is periodically inundated, at the ecological station of Anavilhanas, Novo Airão, Amazonas State, Brazil. Notes: Line, abundance of larvae; columns, average level (m).
Figure 3 in The influence of flood pulses on the reproductive strategy of two species of passalid beetle in the fluvial archipelago of Anavilhanas, Amazon, Brazil
Figure 3. Analysis using Pearson's correlation coefficient to test for a relationship between the pluviometric index and the number of larvae of Passalus abortivus between April 1996 and March 1997 at the ecological station of Anavilhanas, Novo Airão, Amazonas State.
Figure 2 in The influence of flood pulses on the reproductive strategy of two species of passalid beetle in the fluvial archipelago of Anavilhanas, Amazon, Brazil
Figure 2. Analysis using Pearson's correlation coefficient to test for a relationship between the water level of the Negro River and the number of larvae of Passalus abortivus between April 1996 and March 1997 at the ecological station of Anavilhanas, Novo Airão, Amazonas State.
Data from: Density-dependent dispersal strategy of pollinator moderates the adverse effect of habitat loss on plant reproduction
<p><span>1. </span><span>Major challenges for plant conservation are predicting the effect of habitat loss on pollination success and plant reproduction </span><span>potential</span><span>. Most studies report that pollinator movement is affected by quantitative and spatial characteristics of landscapes. However, little is known about the role of pollinator movement, impacted by floral volatiles and intraspecies interaction, on plant reproduction in fragmented landscapes.</span></p> <p><span>2. </span><span>To clarify the effect of pollinator movement on plant reproduction </span><span>relative to </span><span>habitat loss, we developed an integrated model incorporating pollinator's foraging response with its </span><span>dispersal</span> <span>process mediated by a density-dependent dispersal (DDD) strategy</span><span>.</span> <span>This model</span> <span>performed better in capturing behaviorals response of pollinators than do current methods. The integrated model was verified with field results of pollinator visitation and plant reproduction of saltcedar (<em>Tamarix</em> <em>chinensis</em>) inhabiting the Yellow River Delta, and then was compared against a dispersal strategy called density-independent dispersal (DID). The model was applied to landscapes with various non-habitat percentage (<em>NHP</em>) to explore the effect of habitat loss on plant reproduction.</span></p> <p><span>3. </span><span>Results suggested that saltcedar populations differ in their responses to habitat loss, which depended on the spatial scales considered. At landscape scale, increasing <em>NHP</em> significantly inhibited the dispersion extent of floral volatiles and therefore reduced pollinator visitation and subsequent seed production, especially when <em>NHP</em> exceeded the critical threshold of 0.6.</span> <span>However, at patch scale, comparing with DID strategy, the DDD strategy enabled pollinators to increase their utilization of flowers by 43.42% and 6.79% in low-density and distant plant patches, whereas their utilization was reduced by 7.75% and 2.24% in high-density and central patches, respectively. </span><span>Plant reproduction was improved correspondingly</span> <span>in low-density and distant patches under different <em>NHP</em>s.</span></p> <p><span>4. </span><span>Consequently, habitat loss inhibits the volatiles dispersion and interferes with the foraging success of pollinators, a major factor influencing plant reproduction at landscape scale. At patch scale, adaptive utilization of pollinators exhibiting DDD strategy alleviates the negative effect of habitat loss on plant production and maintains plant population persistence. Since pollinator behavioral response is critical to plant reproduction, we recommend the use of the here-presented integrated model to assess the impact of habitat loss on plant reproduction.</span></p>
ScienceDex guides
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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.