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156 results for “Temperature Influence”
Shrub influence on soil moisture, nutrients, temperature and species composition, 2019 - 2020.
Shrubification, the expansion and densification of shrubs, is occurring in arctic and alpine zones across the globe (Myers-Smith et al., 2011). This alteration is primarily driven by warming temperatures (Elmendorf et al., 2012b, 2012a), and can have major consequences for the existing vegetation (Anthelme et al., 2007; Pajunen et al., 2011; Venn et al., 2014) and for nutrient pools (Sturm et al., 2005; DeMarco et al., 2014) due to the abiotic and biotic effects of shrubs. Shrubs accumulate snow which insulates the ground during the winter and provides more moisture later in the season (Liston et al., 2002). During the summer, shrubs provide shade and wind protection. Additionally, shrubs can increase the soil nitrogen (N) pool through their high input of plant material into the soil (DeMarco et al., 2014). These small-scale climatic and soil alterations have important consequences for plant community dynamics in the arctic and alpine. References: Anthelme, F., Villaret, J.-C., and Brun, J.-J., 2007: Shrub encroachment in the Alps gives rise to the convergence of sub-alpine communities on a regional scale. Journal of Vegetation Science, 18(3):355–362. DeMarco, J., Mack, M. C., and Bret-Harte, M. S., 2014: Effects of arctic shrub expansion on biophysical vs . biogeochemical drivers of litter decomposition. Ecological Society of America, 95(7):1861–1875. Elmendorf, S. C., Henry, G. H. R., Hollister, R. D., Björk, R. G., Bjorkman, A. D., Callaghan, T. V., Collier, L. S., Cooper, E. J., Cornelissen, J. H. C., Day, T. A., Fosaa, A. M., Gould, W. A., Grétarsdóttir, J., Harte, J., Hermanutz, L., Hik, D. S., Hofgaard, A., Jarrad, F., Jónsdóttir, I. S., Keuper, F., Klanderud, K., Klein, J. A., Koh, S., Kudo, G., Lang, S. I., Loewen, V., May, J. L., Mercado, J., Michelsen, A., Molau, U., Myers-Smith, I. H., Oberbauer, S. F., Pieper, S., Post, E., Rixen, C., Robinson, C. H., Schmidt, N. M., Shaver, G. R., Stenström, A., Tolvanen, A., Totland, Ø., Troxler, T., Wahren, C. H
Mink fecal microbiomes are influenced by sex, temperature and time post-defecation
<p>Mink metadata, QIIME2 artifacts and demultiplexed EMP-paired end sequences from Argonne National laboratory, R code for statistical analyses and figure generation, and QIIME2 pipeline for Lafferty et al. 2021.</p>
Raw Data for Evaluation of Measurement Uncertainty in Structural Health Monitoring Systems Under Temperature Influence
<p>The documentation on these laboraty tests is titled "Documentation.pdf"</p> <p> </p> <p>Raw data from distance measurements using laser triangulation sensors acquired under different temperatures are provided. Six sensors were tested per experiment (CSV file), and in each experiment the boundary conditions are varied as follows:<br><br>00RawData_LTS_1m: The entire measurement system is subject to temperature change, with initial distances chosen as LTS1/LTS2=17 mm, LTS3/LTS4=21 mm nd LTS5/LTS6=25 mm.<br><br>01RawData_LTS_1m_SwitchedDistances: The entire measurement system is subject to temperature change, with the selected initial distances of LTS1/LTS2=25 mm, LTS3/LTS4=17 mm nd LTS5/LTS6=21 mm.<br><br>02RawData_LTS_1m_SwitchedDistances2: The entire measurement system is subject to temperature change, with initial distances selected as LTS1/LTS2=21 mm, LTS3/LTS4=25 mm nd LTS5/LTS6=17 mm.<br><br>03RawData_LTS_1m_OnlySensor: Only the sensors of the measuring system are subject to temperature change, where the selected initial distances are LTS1/LTS2=21 mm, LTS3/LTS4=25 mm nd LTS5/LTS6=17 mm.<br><br>04RawData_LTS_1m_OnlyMeasuringAmplifier: Only the measuring amplifiers of the measuring system are subject to temperature change. The selected initial distances are LTS1/LTS2=21 mm, LTS3/LTS4=25 mm nd LTS5/LTS6=17 mm.<br><br>05RawData_LTS_1m_OnlyCable: Only the cables of the measurement system are subject to the temperature change. The selected initial distances are LTS1/LTS2=21 mm, LTS3/LTS4=25 mm nd LTS5/LTS6=17 mm.<br><br>Tested temperature range: -10°C to 50°C<br>Measuring frequency: 1 Hz<br>Measuring amplifier: Q.bloxx.XL A107 Gantner Instruments<br>Cable: 4-pole, 1.00 m length<br>Sensor: OM20-P0026.HH.YIN laser triangulation sensor from Baumer</p>
High water temperature significantly influences swimming performance of New Zealand migratory species
<p>Our study examined how temperature variations affect critical swimming speeds of four migratory species. Higher temperatures (26°C) significantly reduced swimming speeds for three species, emphasising the need for fish passage solutions that consider temperature fluctuations. This is crucial for habitat restoration and freshwater fish preservation, especially in a changing climate. </p>
Seasonal relationships between soil respiration and water-extractable carbon as influenced by soil temperature and moisture in forest soils of the Andrews Experimental Forest, 1992-1993
The overall objective of this study is to model trace gas emissions from forest soils of the H. J. Andrews Experimental Forest. This is to be accomplished by studying trace gas emissions and related variable at a set of 20 permanent plots at the HJA.
Figure 1 in Influence of temperature and prey type on life-table parameters and consumption rate of Stethorus gilvifrons (Mulsant) (Coleoptera: Coccinellidae) on three tetranychid mites
Figure 1. Age-stage-specific survival rate (lx) and age-specific fecundity (mx) curves of Stethorus gilvifrons on different prey types and different temperatures.
Fig. 1 in Influence Of Temperature On Breaking Diapause, Development And Emergence Of Megachile Minutissima (Hymenoptera, Megachilidae)
Fig. 1. Percentage of newly emergence of M. minutissima males and females under incubation conditions at 30 ± 0.4 °C after different cold storage periods.
Additive genetic variation, but not temperature, influences warning signal expression in Amata nigriceps moths (Lepidoptera: Arctiinae)
<p>Many aposematic species show variation in their colour patterns even though selection by predators is expected to stabilise warning signals towards a common phenotype. Warning signal variability can be explained by trade-offs with other functions of colouration, such as thermoregulation, that may constrain warning signal expression by favouring darker individuals. Here, we investigated the effect of temperature on warning signal expression in aposematic <em>Amata nigriceps</em> moths that vary in their black and orange wing patterns. We sampled moths from two flight seasons that differed in the environmental temperatures and also reared different families under controlled conditions at three different temperatures. Against our prediction that lower developmental temperatures would reduce the warning signal size of the adult moths, we found no effect of temperature on warning signal expression in either wild or laboratory-reared moths. Instead, we found sex- and population-level differences in wing patterns. Our rearing experiment indicated that ~70% of the variability in the trait is genetic but understanding what signalling and non-signalling functions of wing colouration maintain the genetic variation requires further work. Our results emphasise the importance of considering both genetic and plastic components of warning signal expression when studying intraspecific variation in aposematic species.</p>
Figure 7 in Influence of Temperature on Susceptibility of Cvs. Tifguard and Georgia-06G Peanut to Meloidogyne arenaria
Figure 7: Number of Meloidogyne arenaria eggs per egg mass from roots of the peanut cultivars Tifguard (resistant) and Georgia-06G (susceptible) at 34°C at 40 days after inoculation. Different letters over bars indicate significant differences at P ≤ 0.05.
Figure 6 in Influence of Temperature on Susceptibility of Cvs. Tifguard and Georgia-06G Peanut to Meloidogyne arenaria
Figure 6: Mature egg-laying females and necrotic lesions formed around Meloidogyne arenaria infection sites in Tifguard roots. A. Mature females at 35 days after inoculation (DAI) at 34°C; B. Egg-laying female at 40 DAI at 34°C (arrow points to egg mass); C. Arrow points to necrotic lesion at 5 DAI; D. Arrow points to necrotic lesion at 40 DAI.
Figure 3 in Influence of Temperature on Susceptibility of Cvs. Tifguard and Georgia-06G Peanut to Meloidogyne arenaria
Figure 3: Number of second-stage juveniles (J2) per gram of root system of the resistant cultivar Tifguard and the susceptible cultivar Georgia-06G 5 days after inoculation in Experiments 1 and 2. Different letters over bars from the same experiment indicate significant differences at P ≤ 0.05.
Figure 5 in Influence of Temperature on Susceptibility of Cvs. Tifguard and Georgia-06G Peanut to Meloidogyne arenaria
Figure 5: Number of egg-laying females per gram of roots of the resistant cultivar Tifguard and susceptible cultivar Georgia-06G at 30 or 40 days after inoculation in Experiments 1 and 2, respectively. Bars followed by different letters from the same experiment indicate significant differences at P ≤ 0.05.
Figure 4 in Influence of Temperature on Susceptibility of Cvs. Tifguard and Georgia-06G Peanut to Meloidogyne arenaria
Figure 4: Number of Meloidogyne arenaria second-stage juveniles (J2) and females 30 days after inoculation (Experiment 1), and J2, females, and egg-laying females 40 days after inoculation (Experiment 2) on Tifguard.
Figure 2 in Influence of Temperature on Susceptibility of Cvs. Tifguard and Georgia-06G Peanut to Meloidogyne arenaria
Figure 2: Mean number of Meloidogyne arenaria in roots of Tifguard and Georgia-06G at 5-day intervals over a 40-day period in Experiment 2.
Fig. 1 in Survival Of Embryos And Larvae Of The Rainbow Trout (Oncorhynchus Mykiss, Walbaum, 1792) Under Influence Of Optical Radiation At Various Temperature Regimes
Fig. 1. Linear dependencies of the probit (logit) effect of the death of rainbow trout larvae in vitro from the logarithm of days of fasting for various types of optical radiation at a temperature of 12 (a), 11 (b), 10 (c), 9 (d), 8(e) ° C.
Fig. 6 in Influence of holding temperature and irradiation on field performance of mass-reared Thaumatotibia leucotreta (Lepidoptera: Tortricidae)
Fig. 6. Comparison of an insectary air-stream coLLection system and postcoLLection chiLLing (8 ± 1 °C) to manuaL coLLection without chiLLing (25 ± 1 °C) on the mean number of male Thaumatotibia leucotreta moths recaptured in pheromone traps afer reLease in a citrus orchard during Jan 13 and Apr 7, 2014.
Fig. 1 in Influence of holding temperature and irradiation on field performance of mass-reared Thaumatotibia leucotreta (Lepidoptera: Tortricidae)
Fig. 1. Diagram of a 5-ha naveL orange orchard showing the centraL reLease site (X) for Thaumatotibia leucotreta moths and the pheromone trap placement. The distance (m) from the center release site to each trap is listed at the right of the diagram.
Fig. 4 in Influence of holding temperature and irradiation on field performance of mass-reared Thaumatotibia leucotreta (Lepidoptera: Tortricidae)
Fig. 4. Influence of reLease date on the mean distance (m) flown by maLe Thaumatotibia leucotreta moths recaptured in pheromone traps afer reLease in a citrus orchard during Dec 2013 and Jan 2014.
Fig. 3 in Influence of holding temperature and irradiation on field performance of mass-reared Thaumatotibia leucotreta (Lepidoptera: Tortricidae)
Fig. 3. Comparison of an insectary air-stream coLLection system and post-coL- Lection chiLLing (8 ± 1 °C) to manuaL coLLection without chiLLing (25 ± 1 °C) on the totaL distance (m) flown by maLe Thaumatotibia leucotreta moths recaptured in pheromone traps afer reLease in a citrus orchard during Dec 2013 and Jan 2014.
Fig. 2 in Influence of holding temperature and irradiation on field performance of mass-reared Thaumatotibia leucotreta (Lepidoptera: Tortricidae)
Fig. 2. Comparison of an insectary air-stream coLLection system and postcoLLection chiLLing (8 ± 1 °C) to manuaL coLLection without chiLLing (25 ± 1 °C) on the mean number of male Thaumatotibia leucotreta moths recaptured in pheromone traps afer reLease in a citrus orchard during Dec 2013 and Jan 2014.
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Allen Brain Atlas
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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
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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.
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