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100 results for “Aquatic insects”
FIGURES 65–67 in First record of trichomycetes associated with aquatic insects from Colombian Moorland and Andean forests
FIGURES 65–67. Stachylina penetralis from Chironomidae. Thallus overview, with ellipsoidal trichospores, and a bulbous base perforating the peritophic matrix (arrow).
FIGURES 35–39. Paramoebidium hamatum from Baetidae and Tricorythidae. 35. Thallus overview. 36 in First record of trichomycetes associated with aquatic insects from Colombian Moorland and Andean forests
FIGURES 35–39. Paramoebidium hamatum from Baetidae and Tricorythidae. 35. Thallus overview. 36. Terminal papilla (arrow). 37. Detail of the holdfast in thallus attached to the hindgut lining. 38. Mature thallus and ellipsoidal cytospora in the initial attachment phase (arrow). Bar = 50 μm. 39. Thallus overview attached with other thalli. Bar = 25 μm.
FIGURES 49–52. Smittium peculiare from Chironomidae. 49. Thallial overview, note verticilliate branching. 50 in First record of trichomycetes associated with aquatic insects from Colombian Moorland and Andean forests
FIGURES 49–52. Smittium peculiare from Chironomidae. 49. Thallial overview, note verticilliate branching. 50. Basal region with pseudorizoidal and amorphous holdfast (arrow), cylindrical trichospores also present. 51. Loose trichospores with collar.
FIGURES 20–23. Genistellospora nubila from Simuliidae. 20 in First record of trichomycetes associated with aquatic insects from Colombian Moorland and Andean forests
FIGURES 20–23. Genistellospora nubila from Simuliidae. 20. Thallus overview and trichospores (arrows) attached eccentrically to the generative cell. 21. Loose trichospores with several appendages (arrow). 22. Thallus with a circular holdfast. 23. Detail of the trichospores attached eccentrically.
FIGURES 27–30. Harpella tica from Simuliidae. 27. Thallus with generative cells and immature trichospores. 28 in First record of trichomycetes associated with aquatic insects from Colombian Moorland and Andean forests
FIGURES 27–30. Harpella tica from Simuliidae. 27. Thallus with generative cells and immature trichospores. 28. Conjugating thalli (arrow). 29. Young thalli with their holdfasts (arrow). 30. Thallus overview.
Aquatic insect in Das Almas River
<p>Data set of aquatic insects collected in Das Almas River, Brazil, model and results.</p> <p>The first sheet is the all data, and the next five are the data used in occurrence bayseian analyses. There is a sheet with the model to be used in R environment and there are three sheets with results. The first is the values of sampled CODA, the second the estimation of number of taxa, and the last is the values of posterior distribution.</p>
Figure 4 in Aquatic insects in the forest canopy: a new genus of moth flies (Diptera: Psychodidae) developing in slime on aerial roots
Figure 4. Mucomyia emersa immature stages. (a) Larval head capsule, ventral view; (b) larval mouthparts, ventral view; (c) segment IX of pupa, dorsal view; (d) segment IX of pupa, ventral view. Scale bars = 0.1 mm. Abbreviations: lm = labium; lr = labrum; mc = maxillary cardo; md = mandible; mp = maxillary palp.
Figure 7 in Aquatic insects in the forest canopy: a new genus of moth flies (Diptera: Psychodidae) developing in slime on aerial roots
Figure 7. Mucomyia browni adult male and female. (a) Male head, frontal view; (b) wing; (c) apical flagellomeres of antenna; (d) male terminalia, dorsal view; (e) female terminalia, ventral view. Scale bars = 125 µm (a), 50 µm (c, d), 100 µm (e).
Figure 6 in Aquatic insects in the forest canopy: a new genus of moth flies (Diptera: Psychodidae) developing in slime on aerial roots
Figure 6. Scanning electron micrographs of larval and pupal Mucomyia emersa. (a) Antenna of larva, dorsal view; (b) anal division of larva, dorsal view; (c) segment VII of larva, dorsolateral view; (d) detail of posterior spiracles of larva, dorsal view; (e) respiratory organ of pupa, anterodorsal view; (f) mesonotum of pupa, anterodorsal view; (g) partial thorax and abdomen of pupa, anterodorsal view; (h) segment IX of pupa, dorsal view. Scale bars = 10 µm (a–f), 100 µm (g, h). Abbreviations: m = mesotergite; me = mushroom element; mt = microtrichia; p = protergite; pr = pores; ps = posterior spiracles; st = setae; t = metatergite.
Figure 5 in Aquatic insects in the forest canopy: a new genus of moth flies (Diptera: Psychodidae) developing in slime on aerial roots
Figure 5. Mucomyia emersa adult male. (a) Male head, frontal view, (b) male terminalia, dorsal view. Scale bars = 0.1 mm. Abbreviations: ae = aedeagus; ea = ejaculatory apodeme; ep = epandrium; gc = gonocoxal condyle; gs = gonostyle; gx = gonocoxite; ha = hypandrium; ho = hypoproct; pm = paramere; ss = surstylus; tn = tenaculum.
Figure 1 in Aquatic insects in the forest canopy: a new genus of moth flies (Diptera: Psychodidae) developing in slime on aerial roots
Figure 1. Araceae plant from which Mucomyia emersa larvae were collected. (a) Habitus of plant, (b) detail of plant mucilage inhabited by larvae.
Recent descriptions of aquatic insects in Europe (2000-2020)
<p>The following database contains information on recently described species of aquatic insects described between 2000 and 2020 in the European continent (including western Russia, Cyprus and Turkey).</p>
Data and Code for the Manuscript: Aquatic insects balance growth with future supply of algal food resources
<p>Some consumers depend on the contemporaneous growth of the resources they feed on. For example, <em>Tanytarsus gracilentus</em> midges feed on algae, and because midge generation time is much longer than that of algae, midges benefit not just from the standing stock but also from the growth of algae. This implies that an intermediate consumption rate maximizes midge somatic growth: low consumption rates constrain midge growth, whereas high consumption rates reduce algae and future food abundance. In an experiment, we manipulated midge presence and initial algal abundance. We found that midges could suppress algal growth, as measured by changes in algal primary production (GPP). We also found a positive relationship between GPP and midge growth. We then fit a consumer-resource model to the experimental data, which showed the expected hump-shaped relationship between midge consumption rates and their somatic growth. In the model, projected midge growth rates were only positively associated with GPP when midge consumption was below the value that optimized midge growth. Therefore, the observed relationship between instantaneous primary production and midge growth seen in the experiment suggests that midges did not overexploit algae. This work highlights the challenges faced by consumers that depend on contemporaneously growing resources.</p>
Data from: Patch size as a niche dimension: aquatic insects behaviorally partition enemy-free space across gradients of patch size
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Data from: Colonization across gradients of risk and reward: nutrients and predators generate species-specific responses among aquatic insects
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Data from: Insect herbivory on native and exotic aquatic plants: phosphorus and nitrogen drive insect growth and nutrient release
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Data from: Aquatic insects rich in omega-3 fatty acids drive breeding success in a widespread bird
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Data from: Experimental evidence for neonicotinoid driven decline in aquatic emerging insects
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Data from: Dispersal ability and habitat requirements determine landscape-level genetic patterns in desert aquatic insects
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Data from: Trematode parasites exceed aquatic insect biomass in Oregon stream food webs
<p>1) Although parasites are increasingly recognized for their ecosystem roles, it is often assumed that free-living organisms dominate animal biomass in most ecosystems and therefore provide the primary pathways for energy transfer.</p> <p>2) To examine the contributions of parasites to ecosystem energetics in freshwater streams, we quantified the standing biomass of trematodes and free-living organisms at nine sites in three streams in western Oregon, USA. We then compared rates of biomass flow from snails (<i>Juga</i> <i>plicifera</i>) into trematode parasites relative to aquatic vertebrate predators (sculpin, cutthroat trout, and Pacific giant salamanders).</p> <p>3) The trematode parasite community had the fifth highest dry biomass density among stream organisms (0.40 g m<sup>-2</sup>) and exceeded the combined biomass of aquatic insects. Only host snails (3.88 g m<sup>-2</sup>), sculpin (1.11 g m<sup>-2</sup>), trout (0.73 g m<sup>-2</sup>), and crayfish (0.43 g m<sup>-2</sup>) had a greater biomass. The parasite 'extended phenotype', consisting of trematode plus castrated host biomass, exceeded the individual biomass of every taxonomic group other than snails. The substantial parasite biomass stemmed from the high snail density and infection prevalence, and the large proportional mass of infected hosts that consisted of trematode tissue (mean = 31% per snail).</p> <p>4) Estimates of yearly biomass transfer from snails into trematodes were slightly higher than the combined estimate of snail biomass transfer into the three vertebrate predators. Pacific giant salamanders accounted for 90% of the snail biomass consumed by predators.</p> <p>5) These results demonstrate that trematode parasites play underappreciated roles in the ecosystem energetics of some freshwater streams.</p>
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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.