Designing a large-scale track-based monitoring program to detect changes in species distributions in arid Australia.

Monitoring trends in animal populations in arid regions is challenging due to remoteness and low population densities. However, detecting species' tracks or signs is an effective survey technique for monitoring population trends across large spatial and temporal scales. In this study, we developed a simulation framework to evaluate the performance of alternative track-based monitoring designs at detecting change in species distributions in arid Australia. We collated presence-absence records from 550 2-ha track-based plots for 11 vertebrates over 13 years and fitted ensemble species distribution models to predict occupancy in 2018. We simulated plausible changes in species' distributions over the next 15 years and, with estimates of detectability, simulated monitoring to evaluate the statistical power of three alternative monitoring scenarios: (1) where surveys were restricted to existing 2-ha plots, (2) where surveys were optimized to target all species equally, and (3) where surveys were optimized to target two species of conservation concern. Across all monitoring designs and scenarios, we found that power was higher when detecting increasing occupancy trends compared to decreasing trends owing to the relatively low levels of initial occupancy. Our results suggest that surveying 200 of the existing plots annually (with a small subset resurveyed twice within a year) will have at least an 80% chance of detecting 30% declines in occupancy for four of the five invasive species modeled and one of the six native species. This increased to 10 of the 11 species assuming larger (50%) declines. When plots were positioned to target all species equally, power improved slightly for most compared to the existing survey network. When plots were positioned to target two species of conservation concern (crest-tailed mulgara and dusky hopping mouse), power to detect 30% declines increased by 29% and 31% for these species, respectively, at the cost of reduced power for the remaining species. The effect of varying survey frequency depended on its trade-off with the number of sites sampled and requires further consideration. Nonetheless, our research suggests that track-based surveying is an effective and logistically feasible approach to monitoring broad-scale occupancy trends in desert species with both widespread and restricted distributions.

Outcomes of Hardware Removal Surgery for Children.

Hardware removal is among the most common orthopedic procedures performed in the United States. The goal of this study was to report the outcomes of deep hardware removal for children. This study received institutional review board approval. Patients younger than 18 years who underwent deep hardware removal between 2007 and 2017 were studied. We reviewed 227 procedures involving 132 boys and 95 girls. Mean follow-up was 25 months (range, 14-36 months). Mean age at the time of surgery was 12.8 years (range, 2-17 years). Mean time from initial surgery to hardware removal was 8.4 months (range, 1-72 months). Of the 227 cases, 75 used a tourniquet. Mean tourniquet time was 30.1 minutes (range, 1-118 minutes). Mean length of surgery was 44.0 minutes (range, 4-173 minutes). Mean resident level performing the surgery was postgraduate year 3 (range, postgraduate year 2 to fellow). There were 3 complications. Locations of the implanted hardware included: femur, 85; humerus, 49; tibia, 46; hip/pelvis, 17; ulna, 11; miscellaneous foot, 10; radius, 6; and fibula, 3. Indications for surgery included surgeon recommendations in 122 cases; symptomatic hardware in 68 cases, and parent wishes in 37 cases. Hardware removal for children was safe, and the outcomes were excellent. Complications of hardware removal at a teaching hospital can be minimized when a more senior resident is the primary surgeon. Despite the challenging and historically troublesome nature of deep hardware removal, the current study shows that hardware removal for children is safe and effective. [Orthopedics. 2022;45(2):e91-e95.].

It's Not Yeast: Retrospective Cohort Study of Lactating Women with Persistent Nipple and Breast Pain.

Introduction: Health care providers treating lactating women for nipple and breast pain often attribute symptoms to Candida albicans infection. However, multiple other conditions may present with pain, erythema, and pruritis. We explored the experience of a breastfeeding medicine practice that received referrals for patients failing antifungal therapy and who desired further evaluation for alternative diagnoses. Materials and Methods: We conducted a retrospective chart review of breastfeeding women referred for evaluation of "yeast" to a breast surgery/breastfeeding medicine practice from July 2016 to August 2019. Results: Twenty-five women met inclusion criteria. Median age was 33 (range 24-43) and median months postpartum was 4 (range 0.5-18). All 25 women reported minimal to no improvement on oral and/or topical antifungal therapy. In addition to history and examination, milk culture was obtained in four women, punch biopsy in one, and core needle biopsy in one. No woman was confirmed to have a diagnosis of Candida. Diagnoses were changed to the following: subacute mastitis/mammary dysbiosis (n = 8), nipple bleb (n = 6), dermatitis (n = 6), vasospasm (n = 2), milk crust (n = 1), hyperlactation (n = 1), and postpartum depression (n = 1). Treatment included discontinuation of antifungal medication, as well as the following per individual diagnoses: antibiotics and probiotics; 0.1% triamcinolone cream; heat therapy; discontinuation of exclusive pumping; and antidepressant medication and counseling referral. All women experienced resolution of symptoms following revision of diagnosis and change in management (range 2-42 days). Conclusion: While persistent nipple and breast pain in breastfeeding is often attributed to Candida, this cohort demonstrates that providers should consider multiple other conditions in their differential diagnosis. Accurate, timely diagnosis is crucial, as pain is a risk factor for premature cessation of breastfeeding. Symptomatic resolution occurs on appropriate therapy.

Ranking buffel: Comparative risk and mitigation costs of key environmental and socio-cultural threats in central Australia.

Changed fire regimes and the introduction of rabbits, cats, foxes, and large exotic herbivores have driven widespread ecological catastrophe in Australian arid and semi-arid zones, which encompass over two-thirds of the continent. These threats have caused the highest global mammal extinction rates in the last 200 years, as well as significantly undermining social, economic, and cultural practices of Aboriginal peoples of this region. However, a new and potentially more serious threat is emerging. Buffel grass (Cenchrus ciliaris L.) is a globally significant invader now widespread across central Australia, but the threat this ecological transformer species poses to biodiversity, ecosystem function, and culture has received relatively little attention. Our analyses suggest threats from buffel grass in arid and semi-arid areas of Australia are at least equivalent in magnitude to those posed by invasive animals and possibly higher, because unlike these more recognized threats, buffel has yet to occupy its potential distribution. Buffel infestation also increases the intensity and frequency of wildfires that affect biodiversity, cultural pursuits, and productivity. We compare the logistical and financial challenges of creating and maintaining areas free of buffel for the protection of biodiversity and cultural values, with the creation and maintenance of refuges from introduced mammals or from large-scale fire in natural habitats. The scale and expense of projected buffel management costs highlight the urgent policy, research, and financing initiatives essential to safeguard threatened species, ecosystems, and cultural values of Aboriginal people in central Australia.

Semi-Automated Analysis of Digital Photographs for Monitoring East Antarctic Vegetation.

Climate change is affecting Antarctica and minimally destructive long-term monitoring of its unique ecosystems is vital to detect biodiversity trends, and to understand how change is affecting these communities. The use of automated or semi-automated methods is especially valuable in harsh polar environments, as access is limited and conditions extreme. We assessed moss health and cover at six time points between 2003 and 2014 at two East Antarctic sites. Semi-automatic object-based image analysis (OBIA) was used to classify digital photographs using a set of rules based on digital red, green, blue (RGB) and hue-saturation-intensity (HSI) value thresholds, assigning vegetation to categories of healthy, stressed or moribund moss and lichens. Comparison with traditional visual estimates showed that estimates of percent cover using semi-automated OBIA classification fell within the range of variation determined by visual methods. Overall moss health, as assessed using the mean percentages of healthy, stressed and moribund mosses within quadrats, changed over the 11 years at both sites. A marked increase in stress and decline in health was observed across both sites in 2008, followed by recovery to baseline levels of health by 2014 at one site, but with significantly more stressed or moribund moss remaining within the two communities at the other site. Our results confirm that vegetation cover can be reliably estimated using semi-automated OBIA, providing similar accuracy to visual estimation by experts. The resulting vegetation cover estimates provide a sensitive measure to assess change in vegetation health over time and have informed a conceptual framework for the changing condition of Antarctic mosses. In demonstrating that this method can be used to monitor ground cover vegetation at small scales, we suggest it may also be suitable for other extreme environments where repeat monitoring via images is required.

Ectromelia virus accumulates less double-stranded RNA compared to vaccinia virus in BS-C-1 cells.

Most orthopoxviruses, including vaccinia virus (VACV), contain genes in the E3L and K3L families. The protein products of these genes have been shown to combat PKR, a host defense pathway. Interestingly, ectromelia virus (ECTV) contains an E3L ortholog but does not possess an intact K3L gene. Here, we gained insight into how ECTV can still efficiently evade PKR despite lacking K3L. Relative to VACV, we found that ECTV-infected BS-C-1 cells accumulated considerably less double-stranded (ds) RNA, which was due to lower mRNA levels and less transcriptional read-through of some genes by ECTV. The abundance of dsRNA in VACV-infected cells, detected using a monoclonal antibody, was able to activate the RNase L pathway at late time points post-infection. Historically, the study of transcription by orthopoxviruses has largely focused on VACV as a model. Our data suggest that there could be more to learn by studying other members of this genus.