Whitebark Pine Stand Condition, Tree Abundance, and Cone Production as Predictors of Visitation by Clark's Nutcracker

Accurately quantifying key interactions between species is important for developing effective recovery strategies for threatened and endangered species. Whitebark pine (Pinus albicaulis), a candidate species for listing under the Endangered Species Act, depends on Clark's nutcracker (Nucifraga columbiana) for seed dispersal. As whitebark pine succumbs to exotic disease and mountain pine beetles (Dendroctonus ponderosae), cone production declines, and nutcrackers visit stands less frequently, reducing the probability of seed dispersal.We quantified whitebark pine forest structure, health metrics, and the frequency of nutcracker occurrence in national parks within the Northern and Central Rocky Mountains in 2008 and 2009. Forest health characteristics varied between the two regions, with the northern region in overall poorer health. Using these data, we show that a previously published model consistently under-predicts the proportion of survey hours resulting in nutcracker observations at all cone density levels. We present a new statistical model of the relationship between whitebark pine cone production and the probability of Clark's nutcracker occurrence based on combining data from this study and the previous study.Our model clarified earlier findings and suggested a lower cone production threshold value for predicting likely visitation by nutcrackers: Although nutcrackers do visit whitebark pine stands with few cones, the probability of visitation increases with increased cone production. We use information theoretics to show that beta regression is a more appropriate statistical framework for modeling the relationship between cone density and proportion of survey time resulting in nutcracker observations. We illustrate how resource managers may apply this model in the process of prioritizing areas for whitebark pine restoration

The Science Performance of JWST as Characterized in Commissioning

This paper characterizes the actual science performance of the James Webb Space Telescope (JWST), as determined from the six month commissioning period. We summarize the performance of the spacecraft, telescope, science instruments, and ground system, with an emphasis on differences from pre-launch expectations. Commissioning has made clear that JWST is fully capable of achieving the discoveries for which it was built. Moreover, almost across the board, the science performance of JWST is better than expected; in most cases, JWST will go deeper faster than expected. The telescope and instrument suite have demonstrated the sensitivity, stability, image quality, and spectral range that are necessary to transform our understanding of the cosmos through observations spanning from near-earth asteroids to the most distant galaxies.Comment: 5th version as accepted to PASP; 31 pages, 18 figures; https://iopscience.iop.org/article/10.1088/1538-3873/acb29

The James Webb Space Telescope Mission

Twenty-six years ago a small committee report, building on earlier studies, expounded a compelling and poetic vision for the future of astronomy, calling for an infrared-optimized space telescope with an aperture of at least $4m$. With the support of their governments in the US, Europe, and Canada, 20,000 people realized that vision as the $6.5m$ James Webb Space Telescope. A generation of astronomers will celebrate their accomplishments for the life of the mission, potentially as long as 20 years, and beyond. This report and the scientific discoveries that follow are extended thank-you notes to the 20,000 team members. The telescope is working perfectly, with much better image quality than expected. In this and accompanying papers, we give a brief history, describe the observatory, outline its objectives and current observing program, and discuss the inventions and people who made it possible. We cite detailed reports on the design and the measured performance on orbit.Comment: Accepted by PASP for the special issue on The James Webb Space Telescope Overview, 29 pages, 4 figure

EFFECTS OF CARBOHYDRATE MOUTH RINSE ON GLYCOGEN REDUCED 5K RUN PERFORMANCE TRIAL

Alicia Barringer1, Allison Cross1, Lauren Klump1, Brian Snyder1 1Truman State University, Kirksville, Missouri Previous studies have reported that there may be an ergogenic effect of carbohydrate mouth rinsing on neuromuscular stimulation to enhance muscular endurance and performance. These effects have been suggested to be more potent when fasted or pre-fatigued prior to exercise testing. PURPOSE: The purpose of this study was to compare the effects of carbohydrate mouth rinsing and non-caloric placebo on glycogen reduced individuals’ 5k run performance. METHODS: Twelve moderately trained (VO2 peak 52.2±4.71 ml/kg/min; BMI 24.5±1.8; Wattmax 292.1±36.0) male athletes (23.3 ± 6.2 years) volunteered to participate in this study. The study consisted of baseline testing, a full familiarization trial, and then experimental trials using a counter-balanced, double-blind, randomized crossover design with either a non-caloric artificial sweetener placebo or a 10% maltodextrin mouthrinse (CHO). Experimental trials included an established cycle ergometer glycogen lowering protocol (GLP), an isokinetic/isometric assessment of strength, followed by a 5k run for time completed on a treadmill with speed set at predicted 5k running velocity. Participants were unaware of speed and verbally asked for changes as desired. Mouth rinse occurred for 10s after GLP, immediately before and after strength assessments, and at 0k, then at 2k and 4k for 3 seconds. Heart rate and time elapsed were recorded at each kilometer with rating of perceived exertion (RPE) recorded at 2k, 4k and completion. All measures are reported as mean ± SD. RESULTS: The 5k run showed no significant difference (p\u3e0.05) between the treatment conditions (CHO 5k: 23:52 ±1:50 minutes/ Placebo 5k: 24:05±2:04 minutes). There was also no significant difference between 5k times for the 3rd and 4th visit, which indicated no training effect. There was no significant difference between treatment conditions considering average heart rate (CHO: 172.5±8.3 BPM/ Placebo: 171.2±7.3 BPM) or average RPE measurements (CHO: 16.6±1.3/ Placebo: 16.4±1.9). CONCLUSION: These data showed no significant ergogenic effect on running performance as indicated by the 5k run times completed after glycogen lowering exercise

Upper panel: Average number of Clark's nutcrackers observed per transect in the two study area regions.

<p>Error bars indicate extent of 95% confidence intervals. Lower panel: proportion of observation hours resulting in an observation of Clark's nutcracker as related to average density of whitebark pine cones on survey plots sampled in this study (squares) combined with those sampled in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0037663#pone.0037663-McKinney2" target="_blank">[14]</a> (circles).</p

Observed values for the proportion of observation hours resulting in nutcracker visitation in 2008 and 2009 versus that predicted from cone production values using the model presented by McKinney et al. [<b>14</b>].

<p>The diagonal is the 1∶1 line that represents perfect prediction from the model. All but one observation occurs below the 1∶1 line, indicating that the McKinney et al. model consistently under-predicted the probability of nutcracker occurrence for the cone production values observed in this study.</p

Geographic locations of study sites (solid circles) in four national parks in the southern and northern study regions (open circles), Rocky Mountains.

<p>(Map reproduced with permission from Cartographics LLC, <a href="http://www.rockymountainmaps.com" target="_blank">www.rockymountainmaps.com</a>).</p

Variable Importance Weights.

<p>AIC-based variable importance weights for predictive variables in logistic regression models for predicting the probability of nutcracker occurrence.</p

Transect and stand assessment plot descriptions.

<p>Elevation and aspect were measured at the center of plot (mid-point on plot), and latitude/longitude were recorded from GPS readings taken at the upper end of each transect. Each transect included two rectangular stand assessment plots, 10 m×50 m. Percent whitebark pine in overstory is based on a count of canopy-level trees within each plot. See text for details.</p

Defining the Minimal Long-Term Follow-Up Data Elements for Newborn Screening

Newborn screening (NBS) is hailed as a public health success, but little is known about the long-term outcomes following a positive newborn screen. There has been difficulty gathering long-term follow-up (LTFU) data consistently, reliably, and with minimal effort. Six programs developed and tested a core set of minimal LTFU data elements. After an iterative data collection process and the development of a data collection tool, the group agreed on the minimal LTFU data elements. The denominator captured all infants with an NBS diagnosis, accounting for children who moved or died prior to the follow-up year. They also agreed on three LTFU outcomes: if the child was still alive, had contact with a specialist, and received appropriate care specific to their diagnosis within the year. The six programs representing NBS public health programs, clinical providers, and research programs provided data across multiple NBS disorders. In 2022, 83.8% (563/672) of the children identified by the LTFU programs were alive and living in the jurisdiction; of those, 92.0% (518/563) saw a specialist, and 87.7% (494/563) received appropriate care. The core LTFU data elements can be applied as a foundation to address the impact of early diagnosis by NBS within and across jurisdictions