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20 results for “marshland”
Figure 5 in Incidence of Oscheius onirici (Nematoda: Rhabditidae), a potentially entomopathogenic nematode from the marshlands of Wisconsin, USA
Figure 5: Bayesian consensus tree inferred from 28S D2/D3 under GTR+I+G model (−ln L = 4799.2056; AIC = 9618.4111; freqA = 0.2557; freqC = 0.182; freqG = 0.2892; freqT = 0.2732; R(a) = 0.6259; R(b) = 2.263; R(c) = 1.6102; R(d) = 0.5689; R(e) = 5.2205; R(f) = 1; Pinva = 0.2558; Shape = 0.6827). Posterior probability values exceeding 50% are given on appropriate clades.
Figure 2 in Incidence of Oscheius onirici (Nematoda: Rhabditidae), a potentially entomopathogenic nematode from the marshlands of Wisconsin, USA
Figure 2: Photographs of Oscheius onirici female. (A) Entire body (arrow showing vulva). (B) Pharyngeal region (arrow showing excretory pore). (C) Head region. (D, E) Lateral view of vulva region (arrow showing vulva). (F) Lateral view of tail region (arrow showing anus). (G) Basal bulb (arrow showing excretory pore).
Figure 4 in Incidence of Oscheius onirici (Nematoda: Rhabditidae), a potentially entomopathogenic nematode from the marshlands of Wisconsin, USA
Figure 4: Bayesian consensus tree inferred from 18S under GTR+I+G model (−ln L = 5789.8442; AIC = 11599.6885; freqA = 0.2657; freqC = 0.202; freqG = 0.258; freqT = 0.2743; R(a) = 0.9275; R(b) = 3.6026; R(c) = 2.6802; R(d) = 0.6926; R(e) = 6.3237; R(f) = 1; Pinva = 0.4134; Shape = 0.6825). Posterior probability values exceeding 50% are given on appropriate clades.
Figure 3 in Incidence of Oscheius onirici (Nematoda: Rhabditidae), a potentially entomopathogenic nematode from the marshlands of Wisconsin, USA
Figure 3: Scanning electron microscope photographs of Oscheius onirici female. (A) Lip region en-face view showing one amphideal aperture (am), six labial sensilla (ls) and two cephalic sensilla (cs). (B) Excrotory pore. (C) Ventral view of vulva. (D) Lateral lines. (E) Entire body lateral view (arrow showing vulva). (F) Esophageal region (arrow showing excretory pore). (G) Lateral field showing lateral lines. (H) Tail region ventral view (Top arrow showing four bacteria, middle arrow showing anus, two bottom arrows showing phasmids).
Figure 6 in Incidence of Oscheius onirici (Nematoda: Rhabditidae), a potentially entomopathogenic nematode from the marshlands of Wisconsin, USA
Figure 6: Bayesian consensus tree inferred from ITS under TVM+I model (−ln L = 9235.373; AIC = 18488.7461; freqA = 0.2255; freqC = 0.2115; freqG = 0.2393; freqT = 0.3237; R(a) = 1.3757; R(b) = 3.2802; R(c) = 1.847; R(d) = 1.2014; R(e) = 3.2802; R(f) = 1; Pinva = 0.1375; Shape = 1.5896). Posterior probability values exceeding 50% are given on appropriate clades.
Figure 1 in Incidence of Oscheius onirici (Nematoda: Rhabditidae), a potentially entomopathogenic nematode from the marshlands of Wisconsin, USA
Figure 1: Oscheius onirici female. (A) Entire body. (B) Pharyngeal region. (C) Lateral view of vulva region and lateral field. (D) Schematic representation of En-face view of lip region. (E) Lateral view of tail region.
Figure 7 in Incidence of Oscheius onirici (Nematoda: Rhabditidae), a potentially entomopathogenic nematode from the marshlands of Wisconsin, USA
Figure 7: The mortality rates for different insect types treated with either an Oscheius onirici population, or a control treatment of two milliliters of distilled water. (B) The average number of days that it took for a larva to die after exposure to the treatment. Insects were treated with either an Oscheius onirici population, or a control treatment of two milliliters of distilled water.
Fig. 2 in Patterns of parasite eggs, oocysts and larvae shedding by moose in the Biebrza marshland (NE Poland)
Fig. 2. The relationship between the EPG of Trichostrongylidae family members, Moniezia spp., Parafasciolopsis fasciolaemorpha, the LPG of Elaphostrongylus sp. and mean monthly temperature (red continuous line). Blue continuous line shows the median EPG/LPG and broken lines indicate its 95% confidence interval. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Patterns of parasite eggs, oocysts and larvae shedding by moose in the Biebrza marshland (NE Poland)
Fig. 1. The relationship between the prevalence of Nematodirella alcidis and Moniezia spp. eggs and mean monthly temperature (red continuous line). Blue continuous line shows the prevalence and broken lines indicate its 95% confidence interval. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Patterns of parasite eggs, oocysts and larvae shedding by moose in the Biebrza marshland (NE Poland)
Fig. 3. The relationship between the median EPG of Parafasciolopsis fasciolaemorpha, the median LPG of Elaphostrongylus sp. and the presence of snow cover.
Fig. 3 in Exorchis sp. in the catfish Silurus asotus and Oncomelania hupensis in marshlands of Poyang Lake, China: A potential biological control tool for Schistosoma japonicum
Fig. 3. The prevalence of Exorchis sp. in S. asotus collected from the marshland of Poyang Lake from 2012 to 2016. (A) The adult S. asotus fish collected from Shi Li Hu were kept in plastic containers supplied with water. (B) The intestine of collected S. asotus fish were dissected in a glass Petri dish containing 0.75% saline solution. (C) The isolated Exorchis sp. adult trematodes isolated from the intestine of infected S. asotus. (D) The infection rate of Exorchis sp. in S. asotus is 56.82%, 75.56%, 67.09%, 63.81% and 72.18% from 2012 to 2016, respectively. (E) The intensity of infection of Exorchis sp. in S. asotus is 14.45, 15.24, 16.87, 14.18 and 12.22 per fish from 2012 to 2016, respectively. (F) The average infection rate of Exorchis sp. in S. asotus collected from the marshland of Poyang Lake from 2012 to 2016 was 65.79%. (G) The average intensity of infection of Exorchis sp. in S. asotus collected from the marshland of Poyang Lake from 2012 to 2016 was 14.21 per fish.
Fig. 2 in Exorchis sp. in the catfish Silurus asotus and Oncomelania hupensis in marshlands of Poyang Lake, China: A potential biological control tool for Schistosoma japonicum
Fig. 2. The infection rate of Exorchis sp. in O. hupensis collected from the marshland of Poyang Lake from 2012 to 2015. (A) The natural habitat of O. hupensis. (B) High grass region inhabited by large numbers of O. hupensis are shown, and the snails were marked with red arrows. (C) The cercaria of Exorchis sp. collected from O. hupensis. (D) The infection rate of Exorchis sp. in O. hupensis was 1.87%, 0.51%, 1.06% and 0.14% from 2012 to 2015, respectively. (E) The average infection rate of Exorchis sp. in O. hupensis collected from the marshland of Poyang Lake from 2012 to 2015 was 1.11%. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Exorchis sp. in the catfish Silurus asotus and Oncomelania hupensis in marshlands of Poyang Lake, China: A potential biological control tool for Schistosoma japonicum
Fig. 1. Geographical location of the study area. Poyang Lake is located in the middle and lower reaches of the Yangtze River and in the north of Jiangxi Province. This study was conducted at Shi Li Hu (29◦ 25′ N, 116◦ 01′ E) in Xingzi county, Jiujiang City, Jiangxi Province, which is located on the western bank of the Poyang Lake in southern China.
How hydrology and landscape shape Odonata assemblages in marshlands crossed by ditches
<p><span>One of the major current ecological challenges is to understand how to reconcile human activities with biodiversity conservation concerns. This issue is particularly relevant in freshwater ecosystems where biodiversity is globally under severe threat. Artificial waterbodies, such as ditch networks, are part of the few remaining wetlands in agricultural landscapes and hence play a crucial role in maintaining aquatic biodiversity in these landscapes.</span></p> <p><span>We investigated the responses of adult Odonata assemblages at different spatial scales in a marshland crossed by ditches to two factors expected to be pivotal influences on assemblages. At the local scale, this was mainly the water regime in ditches and, at a broader scale, the composition of the landscape. Both taxonomic alpha and beta diversity, and functional trait composition were considered as response variables.</span></p> <p><span>Significant differences were found between the responses of the two Odonata suborders. We showed that Zygoptera species richness decreased and species turnover increased with the duration of drying episodes in ditches. Geographical distances between local assemblages as well as landscape characteristics, notably woodland cover, meadow cover, and ditch network length, also significantly shaped the distribution of Zygoptera. For Anisoptera, species richness was not explained by environmental variables and beta diversity was associated only with local conditions; it increased with increasing dissimilarity in water quality and riparian vegetation. We also found evidence of functional trait syndromes (combinations of correlated traits) in Odonata assemblages, but without clear relationships to environmental gradients.</span></p> <p><span>This study reveals the structuring role of water regime for Odonata in ditch networks and demonstrates the need to jointly consider environmental variables at different spatial scales to properly understand the distribution of Odonata. </span></p> <p><span>Our findings have important conservation implications as the water regime is heavily managed in such ecosystems. Even though the relationship between functional composition and environmental gradients was found to be of limited extent in this study, we discuss how it might provide new insights for Odonata assemblage structure and be useful, locally, for stakeholders and managers. Lastly, we call for further multiscale investigations considering both the taxonomic and functional responses of Odonata assemblages (functional analyses with multiple traits and several species being scarce in this taxonomic group) in other anthropogenic freshwater ecosystems to gather more lessons for their conservation.</span></p>
How hydrology and landscape shape Odonata assemblages in marshlands crossed by ditches
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Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 2DLM simulation results
<p>This <strong>2DLM.zip</strong> file contains the results of in total 12 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>2 D</strong>imensional <strong>L</strong>andcover-type-determined <strong>M</strong>anning (<strong>2DLM</strong>) parameterization. The zip file has 3 folders and 4 files in each folder. Each file is named by a marsh type considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 3DFV simulation results
<p>This <strong>3DFV.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>3 D</strong>imensional <strong>F</strong>lexible <strong>V</strong>egetation (<strong>3DFV</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 3DSV simulation results
<p>This <strong>3DSV.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>3 D</strong>imensional <strong>S</strong>tiff<strong> V</strong>egetation (<strong>3DSV</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Effects of different vegetation drag parameterizations on the tidal propagation in coastal marshlands - 2DVM simulation results
<p>This <strong>2DVM.zip</strong> file contains the results of in total 15 idealized tidal flooding simulations using MPAS-Ocean, with the vegetation drag resolved by the <strong>2 D</strong>imensional <strong>V</strong>egetation-determined <strong>M</strong>anning (<strong>2DVM</strong>) parameterization. The zip file has 3 folders and 5 files in each folder. Each file is named by a vegetation aboveground biomass (in g m<sup>-2</sup>) considered in a simulation, and each folder is named by a tidal amplitude (in meter) that drives the simulations.</p>
Distribution. EC Madagascar, confined to two subpopulations on the shores of Lake Alaotra, a small one on the NW part of the lake around the Belempona Peninsula and a larger one in the adjoining marshlands along the lake's SW shores. in Lemuridae
Distribution. EC Madagascar, confined to two subpopulations on the shores of Lake Alaotra, a small one on the NW part of the lake around the Belempona Peninsula and a larger one in the adjoining marshlands along the lake's SW shores.
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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.