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1,604 results for “Wintering”
Linked collectors and determiners for: The Winter Stoneflies (Plecoptera: Capniidae) Of Mississippi.
Natural history specimen data linked to collectors and determiners held within, "The Winter Stoneflies (Plecoptera: Capniidae) Of Mississippi". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/a6705bd1-f344-40ce-a77a-2d2c4fa2f344">https://bionomia.net/dataset/a6705bd1-f344-40ce-a77a-2d2c4fa2f344</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/a6705bd1-f344-40ce-a77a-2d2c4fa2f344">https://gbif.org/dataset/a6705bd1-f344-40ce-a77a-2d2c4fa2f344</a>. Formatted as a Frictionless Data package.
Winter fruit contribution to the performance of the invasive fruit fly Drosophila suzukii under different thermal regimes
<div> <div> <div> <div> <p>These datasheets and code were used for analyses and to produce the graphics of the article This dataset was used for analyses of the article 'Winter fruit contribution to the performance of the invasive fruit fly Drosophila suzukii under different thermal regimes' submitted for publication in Insect Science.</p> <p>Informations about the datasheet are in 'README and metadata' file.</p> </div> </div> </div> </div>
Winter dissolved and particulate nickel concentrations along 30 deg E transect, Southern Ocean: GEOTRACES GIPr07 cruise
<p>The data describes the depth profiles of seawater concentrations of dissolved nickel (dNi, 0.2 µm filtered seawater) and particulate nickel (pNi, collected on 0.45 µm pore size filter) along the 30 deg E transect in the Indian sector of Southern Ocean. </p> <p>The output data of an Optimum Multiparameter Analysis (OMP) is also included. The goal of the OMP was to calculate the water mass fractions at each discreet sample location. Six water masses were considered, Subantarctic Surface Water (SASW), Antarctic Intermediate Water (AAIW), North Atlantic Deep Water (NADW), Upper Circumpolar Deep Water (UCDW), Lower Circumpolar Deep Water (LCDW) and Antarctic Bottom Water (AABW). Samples with depths <200 m and/or temperature >10°C were excluded from the analysis to avoid the influence of surface biological processes on nutrient concentrations. Water masses were defined by endmember compositions of temperature, salinity, oxygen, nitrate, phosphate and silicate sourced from property-property plots. A linear fit regression model was used to predict the endmember dNi concentrations of water masses, and then reconstruct the dNi concentrations by direct multiplication of water mass fractions with their endmember compositions. Therefore, the OMP can be used to assess whether the dNi distributions can be reconstructed by water mass mixing without invoking other processes. The O2 deficit (calculated as the difference between measured and predicted O2 concentrations) was used to estimate the amount of remineralization that occurred relative to the endmember composition based on the Redfield ratio. Assuming the O2 deficits were solely attributed to remineralization of sinking phytoplankton cells, the amount of remineralized dNi was estimated by extending the Redfield ratio to include Ni, and based on estimates of phytoplankton cellular pNi:pP quotas from the literature.<br>The uncertainties of water mass contributions in the OMP analysis were estimated by summing the residuals of temperature, salinity, oxygen, and nutrients scaled by their weights.</p>
Figure 1. Plant tissue-culture growth chamber Percival. A in Survivorship of soybean aphid biotypes (Hemiptera: Aphididae) on winter hosts, common and glossy buckthorn
Figure 1. Plant tissue-culture growth chamber Percival. A) Soybean plants maintained in a plant growth chamber for 21 days before placed Rhamnus cathartica. B) Leaf of R. cathartica infested with soybean aphid biotype 1. C) Leaf of Frangula alnus with soybean aphid biotype 4.
Figure 3 in Survivorship of soybean aphid biotypes (Hemiptera: Aphididae) on winter hosts, common and glossy buckthorn
Figure 3. Males of soybean aphid, Aphis glycines, biotype 3. A) Alate male. B) Apterous male with sclerites on thorax. C) Apterous male without sclerites on thorax. The slides mounted images were magnified to 64.3x.
Figure 2 in Survivorship of soybean aphid biotypes (Hemiptera: Aphididae) on winter hosts, common and glossy buckthorn
Figure 2. Adult morphs and eggs of soybean aphid, Aphis glycines, biotype 3 on Rhamnus cathartica. A) Gynopara. B) Ovipara. C) Dorsal view of apterous male. D) Ventral view of apterous male. E) Eggs on bud.
Video lecture "Life(less Forms" / "Un-Menschliche Lebensformen" (winter 2021/22, teaser)
<p>Betrachtet werden in der Vorlesung #Spuren und #Verhalten im Umgang mit dem "Leben". Ausgangspunkt ist die Betrachtung von Artefakten, die den Künsten zugeordnet werden, wobei die Vorlesung, wenn man herkömmliche labels verwendet, nicht "Kunstkultur" behandelt, sondern am ehesten wohl mit "natureculture" in Verbindung gebracht werden kann.<br> Die Artefakte (Auswahl kann noch geändert werden):</p> <ul> <li>Guillermo del Toro: "El Laberinto del Fauno" (2006) und "Shape of Water" (2017)</li> <li>Mikhail Bulgakow: "Hundeherz" (1925) / Alberto Lattuada: "Cuore di cane" (1976, <a href="https://youtu.be/USQolIA-v5I)">https://youtu.be/USQolIA-v5I)</a></li> <li>Enki Bilal: "La Foire aux immortels" (1980, graphic novel) / "Immortel (ad vitam)" (2004, Film)</li> <li>Émile Zola: "La Bête humaine" (1890) / Jean Renoir: "La Bête humaine" (1938)</li> <li>Jacques Lob & Jean-Marc Rochette: "Le Transperceneige" (1982) / Bong Joon Ho: "Snowpiercer" (2013)</li> <li>Ridley Scott: "Blade Runner" (1982) / Denis Villeneuve: "Blade Runner 2049" (2017)</li> </ul>
Figure 2 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 2. Dominance–diversity curves of bird assemblages in different alpine habitats in a valley near Lhasa, Tibet.
Figure 1 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 1. The map shows the vegetation patterns of the study site, and its location and landscape type at a larger geographical scale.
Figure 3 in Comparisons of the alpine bird communities across habitats and between autumn and winter in the mid- Yalong Zangbo River valley, Tibet
Figure 3. Seasonal change of relative abundances of several selected species in alpine habitats (pooled data) in a valley near Lhasa, Tibet.
Timing of increased temperature sensitivity coincides with nervous system development in winter moth embryos
<p>Climate change is rapidly altering the environment and many species will need to genetically adapt their seasonal timing to keep up with these changes. Insect development rate is largely influenced by temperature, but we know little about the mechanisms underlying temperature sensitivity of development. Here we investigate seasonal timing of egg hatching in the winter moth, one of the few species which has been found to genetically adapt to climate change, likely through selection on temperature sensitivity of egg development rate. To study when during development winter moth embryos are most sensitive to changes in ambient temperature, we gave eggs an increase or decrease in temperature at different moments during their development. We measured their developmental progression and timing of egg hatching, and used fluorescence microscopy to construct a timeline of embryonic development for the winter moth. We found that egg development rate responded more strongly to temperature once embryos were in the fully extended germband stage. This is the phylotypic stage at which all insect embryos have developed a rudimentary nervous system. Furthermore, at this stage timing of ecdysone signaling determines developmental progression, which could act as an environment dependent gateway. Intriguingly, this may suggest that, from the phylotypic stage onward, insect embryos can start to integrate internal and environmental stimuli to actively regulate important developmental processes. As we found evidence that there is genetic variation for temperature sensitivity of egg development rate in our study population, such regulation could be a target of selection imposed by climate change.</p>
Fig. 5 in Barn Swallows Hirundo rustica in Peninsular Malaysia: urban winter roost counts after 50 years, and dietary segregation from house-farmed swiftlets Aerodramus sp.
Fig. 5. Diet distribution of swallows and house-farmed swiftlets at Bentong identified by NGS molecular analysis.
Fig. 1 in Barn Swallows Hirundo rustica in Peninsular Malaysia: urban winter roost counts after 50 years, and dietary segregation from house-farmed swiftlets Aerodramus sp.
Fig. 1. (Left) Map of Peninsular Malaysia, with an enlarged plan of Pahang State; the circle indicates the study area, Bentong District. (Right) Google view of Bentong municipality, showing old town centre (red) and suburbs where house-farmed swiftlet colonies (blue) were counted.
Fig. 2 in Barn Swallows Hirundo rustica in Peninsular Malaysia: urban winter roost counts after 50 years, and dietary segregation from house-farmed swiftlets Aerodramus sp.
Fig. 2. Swallows roosting on utility wires along streets of the Bentong town centre. Pacific Swallows, recognisable from below by the grey belly, were present in very low numbers during the passage and wintering period.
Fig. 4 in Barn Swallows Hirundo rustica in Peninsular Malaysia: urban winter roost counts after 50 years, and dietary segregation from house-farmed swiftlets Aerodramus sp.
Fig. 4. Comparative diets of swallows and house-farmed swiftlets in Bentong, identified by morphological analysis.
Fig. 3 in Barn Swallows Hirundo rustica in Peninsular Malaysia: urban winter roost counts after 50 years, and dietary segregation from house-farmed swiftlets Aerodramus sp.
Fig. 3. Number of Barn Swallows in the urban roost in Bentong town, Pahang, in 2015–16 and averaged for 1966–68.
Text-fig. 6. Photo of cave lion lower premolar p4 root cut. The approximate age of individual is 9.5 years (No 3 in Tabs 6, 7). The thin layers on the edge of root are the dental cement increments; number 1 marks winter increment, number 2 marks summer increment. Photo by M. Nývltová Fišáková. in The Mammalian Fauna Of Barová Cave (Moravian Karst, The Czech Republic)
Text-fig. 6. Photo of cave lion lower premolar p4 root cut. The approximate age of individual is 9.5 years (No 3 in Tabs 6, 7). The thin layers on the edge of root are the dental cement increments; number 1 marks winter increment, number 2 marks summer increment. Photo by M. Nývltová Fišáková.
Winter Haloes, by Thomas Gigl, Germany
<p>Second place in the 2021 IAU OAE Astrophotography Contest, category Sun/Moon haloes.</p> <p>Captured in Jochberg located in the famous Austrian ski-region of Tirol, this image shows multiple features related to ice halos, which are a more common appearance around the sun, due to its brightness, than the moon. External and internal reflection of sun rays from ice crystal faces and within different types of ice crystals lead to these halo related phenomena. The 22° halo encircles the sun, with two bright spots at the edge called Sundogs, Parhelia or Mock Suns observed to the left and right at the same height as the sun. The horizontal white band called the parhelic circle, named after the sun god Helios, passes through the sun and the Sundogs at the same angular elevation. An Upper tangent arc, a suncave parry arc and a lower tangent arc are also seen touching the top and bottom of the 22° halo. An upside down rainbow like arc or the circumzenithal arc is seen touching the bright supralateral arc, both of which are less frequently observed.</p> <p>Credit: Thomas Gigl/IAU OAE</p>
Passage Railway Greenway Waterbird Survey, Winter 2020/21
<p>Waterbird surveys carried out for the Passage Railway Greenway project in winter 2020/21.</p>
Agronomic performance of cultivar mixtures and pure stands of 8 winter wheat varieties, obtained from mixture field trials in Switzerland from 2021 to 2023, together with associated functional traits measurements
<p>This dataset contains agronomic performance data for 8 Swiss winter wheat cultivars, grown in pure stands and in mixtures at 3 locations in Switzerland during 3 growing seasons (2021-2023). The dataset has been used to analyse the effects of cultivar mixtures on agronomic performance and stability, which is published in <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.eja.2024.127504" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.eja.2024.127504</a>. </p> <p>The dataset contains notably grain yield, protein content, thousand kernel weight, specific weight, and Zeleny sedimentation value, as well as functional traits measured at flowering for each mixture and pure stand plot. </p> <p>The field trials were performed under the Swiss Extenso (low input) conditions, conducted by Agroscope and DSP. </p> <h3>Methods </h3> <p> <em>Field trials </em></p> <div>Field trials were set up over the course of three growing seasons – 2020/2021, 2021/2022 and 2022/2023 – in three sites across the Swiss Central Plateau. The experimental sites were located in Changins (46°19′ N 6°14′ E, 455m a.s.l), Delley (46°55′ N 6°58′ E, 494m a.s.l) and Utzenstorf (47°97′ N 7°33′ E, 483m a.s.l.). </div> <div>Experimental communities consisted of pure stand plots, 2-cultivars mixtures, and one plot with the 8 cultivars mixed. We sowed every possible combination of 2-cultivar mixtures, amounting to a total of 28 2-cultivar mixtures treatments, to which we added the 8-cultivar mixture. Each community was grown in a plot of 7.1 m<sup>2</sup> (1.5m∗4.7m). We used a complete randomized block design, with 3 replicates, the plots being randomized at each site within each block. Sowing was performed with a small plot drill (Wintersteiger plotseed TC). Density of sowing was 350 viable seeds/m<sup>2</sup>. For the mixtures, seeds were mixed beforehand at a 2 × 50 % mass ratio for 2-cultivars mixtures and 8 × 12.5 % for the 8-cultivar mixture. We chose this method of mixing as this is what is commonly done by farmers in Switzerland. Plots were sowed mechanically each autumn and fertilized with ammonium nitrate at a rate of 140 N/ha in 3 applications (40 N/ha at tillering stage/BBCH 22–29; 60 N/ha at the beginning of stem elongation/BBCH 30–31; 40 N/ha at booting stage/BBCH 45–47). The trials were grown according to the Swiss <em>Extenso</em> scheme, i.e. without any fungicide, insecticide, and growth regulator. Weeds were regulated twice or thrice per season with the application of herbicides commonly used in Switzerland.</div> <div> </div> <div><em>Ear density</em></div> <div> </div> <div>Before harvest, we manually harvested horizontal bands of 1.5 × 0.3 square meters per plot. The location of the band was randomly chosen but we avoided plot edges (i.e. the band was located at more than 0.5 m from the lower and upper edge of each plot). We counted the heads, and obtained ear density from the head counts.</div> <div> </div> <div><em>Trait measurements </em></div> <div> </div> <div>At flowering time, we randomly sampled 6 healthy leaves per plot. We immediately wrapped this leaf in moist cotton; this was stored overnight at room temperature in open plastic bags. The following day, we removed excess surface water on the leaf and weighted it to obtain its water saturated weight. This leaf was then scanned with a flatbed scanner (Perfection V39II, Epson), oven-dried in a paper envelope at 80°C for 72 hours, and subsequently weighed again to obtain its dry weight. Leaf Dry Matter Content (LDMC) was calculated as the ratio of leaf dry mass (g) to water saturated leaf mass (g). Using the leaf scans, we measured leaf area with the image processing software ImageJ. Specific Leaf Area (SLA) was calculated as the ratio of leaf area (cm2) to leaf dry mass (g).</div> <div> </div> <div><em>Phenology and height </em></div> <div> </div> <div>For each plot, we recorded the heading date as the day of the year, in which 50 % of the ears of the plot had fully emerged from the flag leaf. Plant height was measured in each plot at BBCH 59–75, by taking the average height in centimeters from the ground to the top of five random ears, excluding awns.</div> <div> </div> <p><em>Harvest and post harvest measurements</em></p> <p>At maturity, we harvested each plot with a combine harvester (Zürn 150, Schontal-Westernhausen, Switzerland). The harvested grains were dried when needed, weighed a first time, then sorted and cleaned by air and with a sieve cleaner, and subsequently weighted again. We measured hectoliter weight (test weight, HLW, kg/hl) and water content at the plot level using a Dickey-John machine (GAC 2100). Grain yield was subsequently standardized to 15 % of humidity. Protein content (% of dry matter) was measured at the site level with a near-infrared instrument (ProxiMate™, Büchi instruments). Thousand kernel weight (TKW, g) was measured at the plot level with a Marvin seed analyzer (GTA Sensorik, Neubrandenburg, Germany). Zeleny sedimentation value was measured by the laboratory of Delley Seeds and Plants. </p> <p> </p>
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