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Figure 6 in Fitness Effects of Founder Female Number of Trichogramma papilionis Reared on Ephestia kuehniella

Figure 6. Coefficient of variation in percentage parasitized Ephestia eggs for three different founder population size colonies (Treatments, 1, 2, and 10 founder females) of Trichogramma papilionis over 10 successive generations.

Figure 4 in Fitness Effects of Founder Female Number of Trichogramma papilionis Reared on Ephestia kuehniella

Figure 4. Mean estimates (± SEM) of the sex ratio of Trichogramma papilionis in two experimental lines (25°C, L1 and 22°C, L2). Treatments not connected by the same letter were significantly different.

Figure 1 in Fitness Effects of Founder Female Number of Trichogramma papilionis Reared on Ephestia kuehniella

Figure 1. Response (Mean ± SEM) in the emergence rate of three founder population sizes (1, 2, and 10 founder females) of Trichogramma papilionis over 10 serially bottlenecked generations. Treatments not connected by the same letter were significantly different (Tukey test, P <0.050).

Figure 2 in Fitness Effects of Founder Female Number of Trichogramma papilionis Reared on Ephestia kuehniella

Figure 2. Coefficient of variation in the emergence rate of Trichogramma papilionis from three founder population sizes (Treatments, 1, 2, 10 females) over ten generations.

opencc-by-4.0Jun 2024View details →

Data and fitting script for "Direct measurement of a sin(2φ) current phase relation in a graphene superconducting quantum interference device"

This repository contains data and Python analysis scripts used for the publication "Direct measurement of a sin(2\phi) current phase relation in a graphene superconducting quantum interference device (https://doi.org/10.48550/arXiv.2405.13642). The repository is organized as follows: the raw data are encapsulated in a QCoDes database (https://microsoft.github.io/Qcodes/) named 'D-SQUID-06.db'. Post-treated critical current data are included as .csv files and are indexed by measurement ids. The principal analysis is realized in the Jupyter notebook 'Fits_and_Figures.ipynb', which includes all article figures as well as fit functions for fitting both critical currents Ic- and Ic+ simulatenously, first using analytical expression from equation 3 then using numerical expression from equation 5. All fits mentionned in the article are performed there. The repository includes a generic notebook "Extract_Critical_Current.ipynb" used to explore the raw data in the Qcodes database and features an enhanced peak detection script that we used to automatically extract critical current data despite having some artifacts on raw differential conductance versus bias current and magnetic field. We acknowledge the contribution of R. Kerjouan for developing the Python fitting script.

openmit-licenseJun 2024View details →

Data for "Superphot+: Realtime Fitting and Classification of Supernova Light Curves"

This is the dataset and static code base associated with the paper: "Superphot+: Real-Time Fitting and Classification of Supernova Light Curves". The contents are as follows: <ul> <li>superphot-plus-v0.0.7.tar: Superphot+ code base downloaded at time of paper submission. Static copy of the Github repo: https://github.com/VTDA-Group/superphot-plus -- This version corresponds to commit: 956b5d555f58800c01a74b3977e0a3b5476ea9cd and tag v0.0.8.</li> <li>dataset_spec_pruned.csv: Spectroscopic dataset pruned according to Table 1 of the paper.</li> <li>dataset_phot_final.csv: Photometric dataset (without spectroscopic labels) pruned according to Section 2 of the paper. Label and probability columns are values from the ALeRCE-SN classifier.</li> <li>model_0.pt: One of the 10 (redshift-independent) LightGBM models trained for 5-way SN classification.</li> <li>model_0.yaml: Configuration file associated with model_0.pt.</li> <li>model_z_0.pt: Same as model_0.pt, but trained using redshift information.</li> <li>model_z_0.yaml: Configuration file associated with model_z_0.pt.</li> <li>early_phase_classifier_0.pt: Same as model_0.pt, but trained only using early-phase light curve features. Tailored for realtime classification.</li> <li>early_phase_classifier_0.yaml: Configuration file for early_phase_classifier_0.pt.</li> <li>probs_concat.csv: Spectroscopic set's classification results without using redshift information.</li> <li>probs_z_concat.csv: Spectroscopic set's classification results using redshift information.</li> <li>probs_photometric_v2.mrt: Superphot+'s probabilities for the photometric set without using redshift information. Updated to correct for missing IAU names.</li> </ul>

opencc-by-4.0Jun 2024View details →

Data for fitting Burnt Area Simulator for Europe (BASE v1.0)

Data set is a large R (v4.4.0) data.table (v1.15.4) saved with saveRDS (so open with readRDS).   Data is monthly for years 2001-2014 with a spatial resolution of ~9km across the EU plus associated and candidated countries.  It was used to fit BASE v1.0 - which is statistical model (GLM) of burnt area occurrence that considers cropland an non-cropland vegetation separately.

opencc-by-4.0Feb 2024View details →

Data from: Breeding phenology drives variation in reproductive output, reproductive costs and offspring fitness in a viviparous ectotherm

Phenological advances are a widespread response to global warming and can contribute to determine the climate vulnerability of organisms, particularly in ectothermic species which are highly dependent on ambient temperatures to complete their life cycle. Yet, the relative contribution of breeding dates and temperature conditions during gestation on fitness of females and their offspring is poorly documented in reptiles. Here, we exposed females of the common lizard Zootoca vivipara to contrasting thermal scenarios (cold versus hot treatment) during gestation and quantified effects of parturition dates and thermal treatment on life-history traits of females and their offspring for one year. Overall, our results suggest that parturition date has a greater impact than thermal conditions during gestation on life history strategies. In particular, we found positive effects of an earlier parturition date on juvenile survival, growth and recruitment suggesting that environmental dependent selection and/or differences in parental quality between early and late breeders underlie seasonal changes in offspring fitness. Yet, an earlier parturition date compromised the energetic condition of gravid females, which suggests the existence of a mother-offspring conflict regarding the optimisation of parturition dates. While numerous studies focused on the direct effects of alterations in incubation temperatures on reptile life-history traits, our results highlight the importance of considering the role of breeding phenology in assessing the short- and long-term effects of thermal developmental plasticity.

dryad40/100

Agricultural landscape simplification affects wild plant fitness indirectly through herbivore-mediated changes in floral display

As natural landscapes are modified and converted into simplified agricultural landscapes, the community composition and interactions of organisms persisting in these modified landscapes are altered. While many studies examine the consequences of these changing interactions for crops, few have evaluated the effects on wild plants. Here, we examine how pollinator and herbivore interactions affect fitness for wild resident and phytometer plants at sites along a landscape gradient ranging from natural to highly simplified. We tested the direct and indirect effects of landscape composition on plant traits and fitness mediated by insect interactions. For phytometer plants exposed to herbivores, we found that greater landscape complexity corresponded with elevated herbivore damage, which reduced total flower production but increased individual flower size. Though larger flowers increased pollination, the reduction in flowers ultimately reduced plant fitness. Herbivory was also higher in complex landscapes for resident plants, but overall damage was low and therefore did not have a cascading effect on floral display and fitness. This work highlights that landscape composition directly affects patterns of herbivory with cascading effects on pollination and wild plant fitness. Further, the absence of fitness consequences for resident plants suggests that they may be adapted to their local insect community.

opencc-zeroJul 2024View details →

Fig. 5 in Female remating inhibition and fitness of Bactrocera dorsalis (Diptera: Tephritidae) associated with male accessory glands

Fig. 5. Fecundities of Bactrocera dorsalis females of various mating statuses. A. Lifetime mean number (± S.E.) of eggs laid per female, and B. Mean oviposition rates per week of Bactrocera dorsalis females of various mating statuses. G1, virgin females housed alone (n = 30); G2, females mated once (n = 26); G3, females mated twice with different virgin males (n = 32); G4, females mated with males that had mated on the previous day (n = 29); G5, females housed with males at a sex ratio of 1: 1 (n = 23); G6, females housed with males at a sex ratio of 1♀: 23 (n = 24). Different letters indicate significant differences.

Fig. 1 in Female remating inhibition and fitness of Bactrocera dorsalis (Diptera: Tephritidae) associated with male accessory glands

Fig. 1. Male accessory glands of Bactrocera dorsalis. One pair of long tube mesodermal accessory glands (MAG) and 3 pairs of long, convoluted, complex and fragile ectodermal accessory glands (EAG).

Fig. 6 in Female remating inhibition and fitness of Bactrocera dorsalis (Diptera: Tephritidae) associated with male accessory glands

Fig. 6. Fertilities of Bactrocera dorsalis females of various mating statuses. A. Lifetime mean percent hatch of eggs laid by females of G2 – G6 mating statuses, B. Mean percent hatch of eggs laid each week by females of G2 – G6 mating statuses. G2, females mated once (n = 18); G3, females mated twice with virgin males (n= 20); G4, females mated with non-virgin males (n = 18); G5, females housed with males with a sex ratio of 1: 1 (n = 18); G6, females housed with males with a sex ratio of 1♀: 23 (n = 19). Data for the unfertilized eggs laid by virgin females in group G1 and for females that produced fewer than 5 eggs in total were not analyzed. Different letters indicate significant differences.

Fig. 3 in Female remating inhibition and fitness of Bactrocera dorsalis (Diptera: Tephritidae) associated with male accessory glands

Fig. 3. Mean percentage of successful matings among Bactrocera dorsalis of different mating statuses. M1, matings of 8-day old virgin females with of 8-day old virgin males on day 1; M2, matings of 9-day old virgin females with 9-day old virgin males on day 2; M3, matings of 10-day old virgin females with 10-day old males on day 3; M4, matings on day 2 of virgin females with males that had mated on day 1; M5, both first and second matings with virgin males; M6, first mating to non-virgin male and remating to virgin male. Different letters indicate significantly different proportions.

opencc-by-4.0Jun 2016View details →

Fig. 1 in Can the choice behavior and fitness of Tamarixia radiata (Hymenoptera: Eulophidae) be affected by the citrus (Sapindales: Rutaceae) variety used to rear the Asian citrus psyllid (Hemiptera: Liviidae)?

Fig. 1. Mean percentage (± SE) of parasitism of Tamarixia radiata on nymphs of Diaphorina citri reared on 4 citrus varieties. Means do not differ by Tukey's test (P> 0.05).

Fig. 3 in Exploring whether and how ants (Hymenoptera: Formicidae) affect reproductive fitness in Senna mexicana var. chapmanii (Fabaceae)

Fig. 3. Correlation between the number of active inflorescences on Senna chapmanii plants at the time of observation and the number of pollinator visits. Circles represent the mean number of pollinator visits per observation on plants with different numbers of inflorescences. In the axis label, No' refers to number.

Fig. 5 in Exploring whether and how ants (Hymenoptera: Formicidae) affect reproductive fitness in Senna mexicana var. chapmanii (Fabaceae)

Fig. 5. Reproductive fitness of Senna chapmanii plants with (Control) and without (Tanglefoot™) ants. Bars represent the means of weekly measurements taken over the course of the 8 mo experiment. Error bars represent standard error. In the axis label, "no's." refers to numbers.

Fig. 1. A in Exploring whether and how ants (Hymenoptera: Formicidae) affect reproductive fitness in Senna mexicana var. chapmanii (Fabaceae)

Fig. 1. A. Mean rates of pre-dispersal seed predation on Senna chapmanii plants with (Control) and without (Tanglefoot™) ants. Seed predation was calculated for each plant as the number of herbivore damaged seeds divided by the total number of developing seeds (fertilized ovules minus aborted seeds); B. Mean pollinator efficiency on S. chapmanii plants with and without ants. Pollinator efficiency was measured as the proportion of ovules fertilized for each plant; C. Mean effective fecundity of S. chapmanii plants with and without ants. Effective fecundity was calculated for each plant as the number of non-predated mature seeds divided by the total number of ovules. In all 3 cases, comparisons were made between treatments using Mann–Whitney U tests, and results were deemed statistically significant if P values were ≤0.05. Error bars represent standard error in all cases. No significant differences were observed between treatments.

Fig. 2 in Exploring whether and how ants (Hymenoptera: Formicidae) affect reproductive fitness in Senna mexicana var. chapmanii (Fabaceae)

Fig. 2. Mean number (A) and duration (B) of pollinator visits on Senna chapmanii plants with and without ants. In both cases, comparisons were made between treatments using Mann–Whitney U tests, and results were deemed statistically significant if P values were ≤0.05. Error bars represent standard error. Asterisks indicate significant differences. In the axis label, no' refers to number.

Fig. 4 in Exploring whether and how ants (Hymenoptera: Formicidae) affect reproductive fitness in Senna mexicana var. chapmanii (Fabaceae)

Fig. 4. Mean size of Senna chapmanii plants in the presence and absence of ants over the course of the 8 mo experiment. Plant size was estimated as the number of growing stems with 10 or more leaves.