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Fig. 2. a in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 2. a) Parasitoid number per shrub; b) parasitoid prevalence per shrub; c) parasitoid number per gall; d) parasitoid prevalence per gall as a function of rose shrub density per 50 m × 50 m plot (linear regressions). The dotted lines represent the 95% CI, while the dashed lines the prediction intervals

Fig. 1 in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 1. Gall density per shrub as a function of rose shrub density per 50 m × 50 m plot (linear regression). The dotted lines represent the 95% CI, while the dashed lines represent the prediction intervals

Fig. 4. a in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 4. a) Parasitoid numbers per shrubs (dots) and galls (triangles); b) parasitoid prevalences per shrubs (dots) and galls (triangles) versus gall numbers per shrub (nested linear fixed effect ANCOVA)

Fig. 3. a in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 3. a) Parasitoid numbers per shrubs (dots) and galls (triangles); b) parasitoid prevalences per shrubs (dots) and galls (triangles) versus rose shrub density per 50 m × 50 m plot (nested linear fixed effect ANCOVA)

opencc-zeroJul 2024View details →

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Data from: Effect of food restriction on survival and reproduction of a termite

Food availability affects the trade-off between maintenance and reproduction in a wide range of organisms, but its effects on social insects remain poorly understood. In social insects, the maintenance-reproduction trade-off seems to be absent in individuals but may appear at the colony level, although this is rarely investigated. In this study, we restricted food availability in a termite species to test how it affects survival and reproduction, both at the individual and colony level. Using Bayesian multivariate response models, we found very minor effects of food restriction on the survival of queens, individual workers, or on the colonies. In contrast, queen fecundity was significantly reduced while colony-level fecundity (i.e., the number of dispersing alates, future reproductives) increased under food restriction as workers gave up cooperation within the colony and became alates that dispersed. Our study shows that life history trade-offs can be mitigated by individuals' social behaviours in social organisms.

Figure 3 in Effects of temperature on mortality of quagga mussels (Dreissena bugensis) exposed to potassium chloride and copper-based molluscicides in high conductivity waters

Figure 3. Comparison of measured mortality for adult mussels exposed to copper at 10 °C and copper concentrations over time for Experiment 1b (A), which had 50% less biomass and lower mean specific conductivity than Experiment 4 (C) with log-logistic dose-response model fits. Colored bands are 95% confidence intervals and points are mortality values from replicate bioboxes. Measured copper concentrations in bioboxes for B) Experiment 1b and D) Experiment 4. Solid horizontal lines are target concentrations, dashed horizontal lines are mean concentration over the entire experiment duration.

Figure 2 in Effects of temperature on mortality of quagga mussels (Dreissena bugensis) exposed to potassium chloride and copper-based molluscicides in high conductivity waters

Figure 2. Measured mortality for adult mussels exposed to KCl at A) 10 °C, B) 18 °C, and C) 22 °C with log-logistic doseresponse model fits. Colored bands are 95% confidence intervals and points are mortality values from replicate bioboxes.

Figure 1 in Effects of temperature on mortality of quagga mussels (Dreissena bugensis) exposed to potassium chloride and copper-based molluscicides in high conductivity waters

Figure 1. Variation in specific conductivity in A) Lake Piru and B) control bioboxes within experimental periods. Specific conductivity from moderate conductivity Lake Ontario and Minnesota lakes (≈ 300 µS/cm; Moffitt et al. 2016; Luoma et al. 2018) is provided for reference.

Figure 5 in Effects of temperature on mortality of quagga mussels (Dreissena bugensis) exposed to potassium chloride and copper-based molluscicides in high conductivity waters

Figure 5. Comparison of measured mortality for adult mussels exposed to copper at 10 °C and copper concentrations over time for Experiment 1a (A), which received only a single dose of copper and Experiment 1b, which included refreshed copper treatments (C) with log-logistic dose-response model fits. Colored bands are 95% confidence intervals and points are mortality values from replicate bioboxes. Measured copper concentrations in bioboxes for B) Experiment 1a (without refresh) and D) Experiment 1b (with refresh). Solid horizontal lines are target concentrations, dashed horizontal lines are mean concentration over the entire experiment duration.

Figure 4 in Effects of temperature on mortality of quagga mussels (Dreissena bugensis) exposed to potassium chloride and copper-based molluscicides in high conductivity waters

Figure 4. Measured mortality for adult mussels exposed to copper (Earthtec QZ®) at A) 10 °C, C) 18 °C, and E) 22 °C with loglogistic dose-response model fits. Colored bands are 95% confidence intervals and points are mortality values from replicate bioboxes. Measured copper concentrations in bioboxes at B) 10 °C, D) 18 °C, and F) 22 °C. Solid horizontal lines are target concentrations, dashed horizontal lines are mean concentration over the entire experiment duration.

Figure 3 in The effectiveness of hot water pressurized spray in field conditions to slow the spread of invasive alien species

Figure 3. (A) Average maximum temperature, (B) Average thermal exposure (area under the curve), of hot water spray applied to Dreissena polymorpha, Dikerogammarus villosus and Crassula helmsii from three distances (10, 20, 30 cm) and for three durations (5, 10, 15 seconds). Error bars show standard error (n = 36).

Figure 2 in The effectiveness of hot water pressurized spray in field conditions to slow the spread of invasive alien species

Figure 2. Average temperature of hot water spray treatment applied to Dreissena polymorpha, Dikerogammarus villosus and Crassula helmsii from three distances (10, 20, 30 cm) and for three durations (5, 10, 15 seconds) and control cold water treatment (from 10 cm for 15 seconds). Grey shading shows standard error of average (n = 36).

Figure 1 in The effectiveness of hot water pressurized spray in field conditions to slow the spread of invasive alien species

Figure 1. Photographs of four invasive alien species utilised in hot water spray effectiveness experiments; a. Dikerogammarus villosus, b. Dreissena polymorpha, c. Crassula helmsii, d. Hydrocotyle ranunculoides. Photographs by Chris Pollock (a, b, c) and Stephanie Bradbeer (d).

Figure 4 in The effectiveness of hot water pressurized spray in field conditions to slow the spread of invasive alien species

Figure 4. (A) Average maximum temperature, (B) Average thermal exposure (area under the curve), of hot water spray applied to Crassula helmsii from two distances (10 and 30 cm) for three durations (30, 60, 90 seconds). Error bars show standard error (n = 12), * show statistical significance and letters show treatments statistically the same to another.

opencc-by-4.0Feb 2024View details →

The effects of increased thermal insulation in timber-framed external walls with thin gypsum board as a wind barrier - Dataset

This dataset includes measured data from the field measurement of four timber-framed exterior wall constructions. All the walls were equipped with gypsum board wind barrier having a minimal thermal resistance. Insulation thicknesses of 150 mm and 300 mm, demonstrating a moderate and a very effective levels of thermal insulation, were compared. Wooden cladding and brick veneer were compared as façade materials. Measurements were done in a test building of Tampere University, Tampere, Finland. The coordinates of the campus are 61°27' N, 23°52’ E. Ground height at test building site is approximately 135 m above sea level. The site is rather protected area, with the modest wind and driving rain load.  The test was performed between 13 September 2020 and 30 November 2021.

opencc-by-4.0Dec 2018View details →

Figure 4 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions

Figure 4. Relationship between amoeboid protist richness and soil parameters during the wet season in three microhabitats by CCA: PL: Pr. laevigata, PP: Pa. praecox, and BS: bare soil. The names and abbreviations of the amoeboid protist species can be found in table 3.

opencc-by-4.0Dec 2018View details →

Figure 2 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions

Figure 2. Cumulative richness plots of amoeboid protists present under Pr. laevigata (PL), Pa. praecox (PP) and bare soil (BS) during dry and wet seasons at 0–30 cm. a) eruptive pseudopods, and b) acanthopodial pseudopods. ND: not determined.

opencc-by-4.0Dec 2018View details →

Figure 1 in Population Dynamics of Amoeboid Protists in a Tropical Desert: Seasonal Changes and Effects of Vegetation and Soil Conditions

Figure 1. Study area, showing vegetation patches in the desert of Tehuacán, Puebla, Mexico. In addition, the analyzed microhabitats are shown: Pr. laevigata, Pa. praecox and bare soil.

opencc-by-4.0Mar 2013View details →

Fig. 6 in Ecophysiological responses to the effect of annual management on an endemic viviparous fish in central plateau of México

Fig. 6. Bimonthly structure of the population of G. multiradiatus in San Martin. Shows the curves of growth with the von Bertalanffy model for highly seasonal cycles. Upon reaching the asymptotic curve determines the final class of each age cohort.