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106 results for “Lotic”
Figure 7 After sieving, the collector removes the contents from the 250 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 7 After sieving, the collector removes the contents from the 250 μm sieve and places them into the final sample jar. a – fine sediment
Figure 4 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 4 An example of the collection process proposed in this manuscript. a – the collector stands upstream of the net and disturbs the substrate; b – a typical collection setup that includes one person shoveling and another holding the net; c – water mites become suspended in the water column and flow downstream into the net.
Figure 9 in A quantitative method for collecting water mites in lotic, riffle-run habitats for water quality biomonitoring
Figure 9 The picking process proposed in this manuscript. a – the picker empties the contents of the sample container into the white photographic
Data from: Spatial and temporal patterns of environmental DNA detection to inform sampling protocols in lentic and lotic systems.
<p>The development of efficient sampling protocols for the capture of environmental DNA (eDNA) could greatly help improve accuracy of occupancy monitoring for species that are difficult to detect. However, the process of developing a protocol in situ is complicated for rare species by the fact that animal locations are often unknown. We tested sampling designs in lake and stream systems to determine the most effective eDNA sampling protocols for two rare species: the Sierra Nevada yellow-legged frog (<i>Rana sierrae</i>) and the foothill yellow-legged frog (<i>R. boylii</i>). We varied water volume, spatial sampling, and seasonal timing in lakes and streams; in lakes we also tested multiple filter types. We found that filtering 2 L versus 1 L increased the odds of detection in streams 5.42X (95% CI: 3.2-9.19X) in our protocol, from a probability of 0.51 to 0.85 per technical replicate. Lake sample volumes were limited by filter clogging and we found no effect of volume or filter type. Sampling later in the season increased the odds of detection in streams by 1.96X for every 30 days (95% CI: 1.3 - 2.97X) but there was no effect for lakes. Spatial autocorrelation of the quantity of yellow-legged frog eDNA captured in streams between 100 and 200 m, indicating that sampling at close intervals is important.</p>
Data from: Predation drives morphological convergence in the Gambusia panuco species group among lotic and lentic habitats
Fish morphology is often constrained by a trade-off between optimizing steady vs. unsteady swimming performance due to opposing effects of caudal peduncle size. Lotic environments tend to select for steady swimming performance, leading to smaller caudal peduncles, while predators tend to select for unsteady swimming performance, leading to larger caudal peduncles. However, it is unclear which aspect of performance should be optimized across heterogeneous flow and predation environments and how this heterogeneity may affect parallel phenotypic evolution. We investigated this question among four Gambusia species in northeastern Mexico, specifically the riverine G. panuco, the spring endemics G. alvarezi and G. hurtadoi, and a fourth species, G. marshi, found in a variety of habitats with varying predation pressure in the Cuatro Ciénegas basin and Río Salado de Nadadores. We employed a geometric morphometric analysis to examine how body shapes of both male and female fish differ among species and habitats and with piscivore presence. We found that high-predation and low-predation species diverged morphologically, with G. marshi exhibiting a variable, intermediate body shape. Within G. marshi, body morphology converged in high-predation environments regardless of flow velocity, and fish from high-predation sites had larger relative caudal peduncle areas. However, we found that G. marshi from low-predation environments diverged in morphology between sub-basins of Cuatro Ciénegas, indicating other differences among these basins that merit further study. Our results suggest that a morphological trade-off promotes parallel evolution of body shape in fishes colonizing high-predation environments and that changing predation pressure can strongly impact morphological evolution in these species.
Introgressive hybridization erodes morphological divergence between lentic and lotic habitats in an endangered minnow
<p>Introgressive hybridization may erode phenotypic divergence along environmental gradients, collapsing locally adapted populations into a hybrid swarm. Alternatively, introgression may promote phenotypic divergence by providing variation on which natural selection can act. In freshwater fishes, water flow often selects for divergent morphological traits in lake versus stream habitats. We tested the effects of introgression on lake-stream morphological divergence in the minnow Owens Tui Chub (<em>Siphateles</em> <em>bicolor</em> <em>snyderi</em>), which has been rendered endangered by introgression from the introduced Lahontan Tui Chub (<em>Siphateles</em> <em>bicolor</em> <em>obesa</em>). Using geometric morphometric analysis of 457 individual Tui Chub from thirteen populations, we found that both the native and introgressing parent taxa exhibited divergent body and caudal fin shapes in lake vs. stream habitats, but their trajectories of divergence were distinct. In contrast, introgressed populations exhibited intermediate body and caudal fin shapes that were not differentiated by habitat type, indicating that introgression has eroded phenotypic divergence along the lentic-lotic gradient throughout the historic range of the Owens Tui Chub. Individuals within hybrid populations were less morphologically variable than those within parent populations, suggesting hybrid adaptation to selective agents other than water flow or loss of variance by drift.</p>
Fig. 53 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 53: Narayani Ganga at Chitwan National Park, Nepal: type locality of Potamyia renatae.
Fig. 52 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 52: Mississippi river at Minneapolis, Minnesota, USA: biotope of Potamyia flava.
Fig. 51 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 51: Dong Nai river at Nam Cat Tien, Vietnam: type locality of Potamyia huberti.
Fig. 47 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 47: Petanu stream near Tegenungan Falls, Bali, Indonesia: biotope of Potamyia flavata.
Fig. 46 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 46: Huai Pang Paek stream near Pai, Thailand: type locality of Potamyia epigona.
Fig. 43 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 43: Potamyia horvati, Fig. 44: Potamyia nikalandugola, Fig. 45: Potamyia peitho.
Fig. 40 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 40: Potamyia czekanovskii, Fig. 41: Potamyia euadne, Fig. 42: Potamyia flavata.
Fig. 37 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 37: Potamyia yunnanica, Fig. 38: Potamyia alleni, Fig. 39: Potamyia bicornis.
Fig. 50 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 50: Awu river near Tuwel, Central Jawa, Indonesia: biotope of Potamyia aureipennis.
Fig. 25 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 25: Potamyia pallidipennis, Fig. 26: Potamyia periboia, Fig. 27: Potamyia arachne.
Fig. 31 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 31: Potamyia hoenei, Fig. 32: Potamyia jinhongensis, Fig. 33: Potamyia phaidra.
Fig. 13 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 13: Potamyia huberti, Fig. 14: Potamyia nuonga nov.spec., Fig. 15: Potamyia ovalis.
Fig. 28 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 28: Potamyia chaos, Figs: 29, 30. Potamyia daphne.
Fig. 10 in A revision of the lotic genus Potamyia BANKS 1900 (Trichoptera: Hydropsychidae) with the description of eight new species
Fig. 10: Potamyia epigona, Fig. 11: Potamyia flava, Fig. 12: Potamyia fulvescens.
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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.