On the move: Influence of animal movements on count error during drone surveys.

The use of remote sensing to monitor animal populations has greatly expanded during the last decade. Drones (i.e., Unoccupied Aircraft Systems or UAS) provide a cost- and time-efficient remote sensing option to survey animals in various landscapes and sampling conditions. However, drone-based surveys may also introduce counting errors, especially when monitoring mobile animals. Using an agent-based model simulation approach, we evaluated the error associated with counting a single animal across various drone flight patterns under three animal movement strategies (random, directional persistence, and biased toward a resource) among five animal speeds (2, 4, 6, 8, 10 m/s). Flight patterns represented increasing spatial independence (ranging from lawnmower pattern with image overlap to systematic point counts). Simulation results indicated that flight pattern was the most important variable influencing count accuracy, followed by the type of animal movement pattern, and then animal speed. A  awnmower pattern with 0% overlap produced the most accurate count of a solitary, moving animal on a landscape (average count of 1.1 ± 0.6) regardless of the animal's movement pattern and speed. Image overlap flight patterns were more likely to result in multiple counts even when accounting for mosaicking. Based on our simulations, we recommend using a lawnmower pattern with 0% image overlap to minimize error and augment drone efficacy for animal surveys. Our work highlights the importance of understanding interactions between animal movements and drone survey design on count accuracy to inform the development of broad applications among diverse species and ecosystems.

Heating decoys to mimic thermal signatures of live animals for drones.

Thermal sensors mounted on drones (unoccupied aircraft systems) are popular and effective tools for monitoring cryptic animal species, although few studies have quantified sampling error of animal counts from thermal images. Using decoys is one effective strategy to quantify bias and count accuracy; however, plastic decoys do not mimic thermal signatures of representative species. Our objective was to produce heat signatures in animal decoys to realistically match thermal images of live animals obtained from a drone-based sensor. We tested commercially available methods to heat plastic decoys of three different size classes, including chemical foot warmers, manually heated water, electric socks, pad, or blanket, and mini and small electric space heaters. We used criteria in two categories, 1) external temperature differences from ambient temperatures (ambient difference) and 2) color bins from a palette in thermal images obtained from a drone near the ground and in the air, to determine if heated decoys adequately matched respective live animals in four body regions. Three methods achieved similar thermal signatures to live animals for three to four body regions in external temperatures and predominantly matched the corresponding yellow color bins in thermal drone images from the ground and in the air. Pigeon decoys were best and most consistently heated with three-foot warmers. Goose and deer decoys were best heated by mini and small space heaters, respectively, in their body cavities, with a heated sock in the head of the goose decoy. The materials and equipment for our best heating methods were relatively inexpensive, commercially available items that provide sustained heat and could be adapted to various shapes and sizes for a wide range of avian and mammalian species. Our heating methods could be used in future studies to quantify bias and validate methodologies for drone surveys of animals with thermal sensors.•We determined optimal heating methods for plastic animal decoys with inexpensive and commercially available equipment to mimic thermal signatures of live animals.•Methods could be used to quantify bias and improve thermal surveys of animals with drones in future studies.

Taphonomic signatures of early scavenging by black and turkey vultures.

Scavenging is critical for nutrient cycling and maintenance of healthy ecosystems. While there is substantial research into the identification of taphonomic signatures from facultative mammalian scavengers, early stage scavenging signatures by vultures remain unknown. Further, some vulture species are opportunistic predators, highlighting the need to define signatures observed in the course of normal scavenging behavior. We placed stillborn neonatal calves in an unoccupied pasture and used motion-trigger camera traps to quantify scavenging effort, then conducted necropsies to evaluate the effect of black vulture (Coragyps atratus) and turkey vulture (Cathartes aura) scavenging effort on carcass consumption. We measured the order of consumption of different tissue types to delineate which anatomic structures vultures consume first. Scavenging trials with higher numbers of vultures feeding on the carcass for longer were associated with decreased remaining tongue and abdominal viscera, and a larger umbilical wound. Greater maximum flock sizes were associated with decreased remaining tongue and abdominal viscera, a larger umbilical wound, and greater biomass consumption. Black vultures targeted the perineum and tongue earlier, while turkey vultures targeted the eyes, perineum, and tongue. These results are consistent with the idea that vultures prefer tissues that are easy to access and contain high nutrient content. These patterns form a distinctive taphonomic signature that can be used to identify early scavenging by black and turkey vultures. Our results demonstrate that criteria commonly used to identify livestock depredation by black vultures only document vulture presence and not predation. This distinction implies that new and more definitive criteria need to be developed and put into practice for more accurate decision criteria in livestock depredation compensation programs.

Aerial Wildlife Image Repository for animal monitoring with drones in the age of artificial intelligence.

Drones (unoccupied aircraft systems) have become effective tools for wildlife monitoring and conservation. Automated animal detection and classification using artificial intelligence (AI) can substantially reduce logistical and financial costs and improve drone surveys. However, the lack of annotated animal imagery for training AI is a critical bottleneck in achieving accurate performance of AI algorithms compared to other fields. To bridge this gap for drone imagery and help advance and standardize automated animal classification, we have created the Aerial Wildlife Image Repository (AWIR), which is a dynamic, interactive database with annotated images captured from drone platforms using visible and thermal cameras. The AWIR provides the first open-access repository for users to upload, annotate, and curate images of animals acquired from drones. The AWIR also provides annotated imagery and benchmark datasets that users can download to train AI algorithms to automatically detect and classify animals, and compare algorithm performance. The AWIR contains 6587 animal objects in 1325 visible and thermal drone images of predominantly large birds and mammals of 13 species in open areas of North America. As contributors increase the taxonomic and geographic diversity of available images, the AWIR will open future avenues for AI research to improve animal surveys using drones for conservation applications. Database URL: https://projectportal.gri.msstate.edu/awir/.

Fusion of visible and thermal images improves automated detection and classification of animals for drone surveys.

Visible and thermal images acquired from drones (unoccupied aircraft systems) have substantially improved animal monitoring. Combining complementary information from both image types provides a powerful approach for automating detection and classification of multiple animal species to augment drone surveys. We compared eight image fusion methods using thermal and visible drone images combined with two supervised deep learning models, to evaluate the detection and classification of white-tailed deer (Odocoileus virginianus), domestic cow (Bos taurus), and domestic horse (Equus caballus). We classified visible and thermal images separately and compared them with the results of image fusion. Fused images provided minimal improvement for cows and horses compared to visible images alone, likely because the size, shape, and color of these species made them conspicuous against the background. For white-tailed deer, which were typically cryptic against their backgrounds and often in shadows in visible images, the added information from thermal images improved detection and classification in fusion methods from 15 to 85%. Our results suggest that image fusion is ideal for surveying animals inconspicuous from their backgrounds, and our approach uses few image pairs to train compared to typical machine-learning methods. We discuss computational and field considerations to improve drone surveys using our fusion approach.

Intranasal Dexmedetomidine Use in Pediatric Patients for Anxiolysis in the Emergency Department.

OBJECTIVES: In recent years, dexmedetomidine has gained traction as a treatment for anxiolysis in the emergency department (ED). When used with an atomizer, it may also be given intranasally for anxiolysis. The primary objective was to determine the level of ED provider satisfaction and comfort with intranasal (IN) dexmedetomidine for anxiolysis in pediatric patients with behavioral agitation and/or acute psychosis. The secondary objectives included determining safety, rates of therapy failure, and ED length of stay compared with oral midazolam. The efficacy of IN dexmedetomidine versus oral midazolam in patients with autism spectrum disorder (ASD) was also evaluated. METHODS: This was a single-center, prospective study in a pediatric ED from March 1 to December 31, 2021. Patients were included in the study if the ED provider requested IN dexmedetomidine anxiolysis and completed a postadministration survey. Safety and efficacy outcomes were assessed by chart review and compared with patients who received oral midazolam during the same study period. Efficacy was defined as the rate of treatment failure, as the need for procedural termination, progression to procedural sedation, or the requirement of additional medications for anxiolysis. RESULTS: Sixty-two patients received IN dexmedetomidine {median dose [interquartile range (IQR)] of 3.05 [2.04-4.00] µg/kg/dose} compared with 58 who received oral midazolam [median (IQR) dose of 0.29 (0.25-0.48) mg/kg/dose). Providers reported high comfort and satisfaction scores, with median (IQR) scores of 90 (75-100) and 88 (60-100) of 100. Twenty-nine percent of patients experienced treatment failure, most commonly because of the need for additional medications. Those who received IN dexmedetomidine had a longer ED length of stay (6.0 vs 4.4 hours, P = 0.010). Among the patients with ASD, those who received IN dexmedetomidine had a lower rate of treatment failure compared with oral midazolam (21.2% vs 66.7%, P = 0.039). CONCLUSIONS: This study demonstrates that IN dexmedetomidine has high levels of provider comfort and satisfaction, moderately high success rate, and a promising safety profile. In addition, IN dexmedetomidine may be superior to oral midazolam in patients with ASD for anxiolysis, but additional studies are needed.

Evidence on the efficacy of small unoccupied aircraft systems (UAS) as a survey tool for North American terrestrial, vertebrate animals: a systematic map.

BACKGROUND: Small unoccupied aircraft systems (UAS) are replacing or supplementing occupied aircraft and ground-based surveys in animal monitoring due to improved sensors, efficiency, costs, and logistical benefits. Numerous UAS and sensors are available and have been used in various methods. However, justification for selection or methods used are not typically offered in published literature. Furthermore, existing reviews do not adequately cover past and current UAS applications for animal monitoring, nor their associated UAS/sensor characteristics and environmental considerations. We present a systematic map that collects and consolidates evidence pertaining to UAS monitoring of animals. METHODS: We investigated the current state of knowledge on UAS applications in terrestrial animal monitoring by using an accurate, comprehensive, and repeatable systematic map approach. We searched relevant peer-reviewed and grey literature, as well as dissertations and theses, using online publication databases, Google Scholar, and by request through a professional network of collaborators and publicly available websites. We used a tiered approach to article exclusion with eligible studies being those that monitor (i.e., identify, count, estimate, etc.) terrestrial vertebrate animals. Extracted metadata concerning UAS, sensors, animals, methodology, and results were recorded in Microsoft Access. We queried and catalogued evidence in the final database to produce tables, figures, and geographic maps to accompany this full narrative review, answering our primary and secondary questions. REVIEW FINDINGS: We found 5539 articles from our literature searches of which 216 were included with extracted metadata categories in our database and narrative review. Studies exhibited exponential growth over time but have levelled off between 2019 and 2021 and were primarily conducted in North America, Australia, and Antarctica. Each metadata category had major clusters and gaps, which are described in the narrative review. CONCLUSIONS: Our systematic map provides a useful synthesis of current applications of UAS-animal related studies and identifies major knowledge clusters (well-represented subtopics that are amenable to full synthesis by a systematic review) and gaps (unreported or underrepresented topics that warrant additional primary research) that guide future research directions and UAS applications. The literature for the use of UAS to conduct animal surveys has expanded intensely since its inception in 2006 but is still in its infancy. Since 2015, technological improvements and subsequent cost reductions facilitated widespread research, often to validate UAS technology to survey single species with application of descriptive statistics over limited spatial and temporal scales. Studies since the 2015 expansion have still generally focused on large birds or mammals in open landscapes of 4 countries, but regulations, such as maximum altitude and line-of-sight limitations, remain barriers to improved animal surveys with UAS. Critical knowledge gaps include the lack of (1) best practices for using UAS to conduct standardized surveys in general, (2) best practices to survey whole wildlife communities in delineated areas, and (3) data on factors affecting bias in counting animals from UAS images. Promising advances include the use of thermal sensors in forested environments or nocturnal surveys and the development of automated or semi-automated machine-learning algorithms to accurately detect, identify, and count animals from UAS images.

Habitat selection in a recovering bobcat (Lynx rufus) population.

Understanding habitat selection of top predators is critical to predict their impacts on ecological communities and interactions with humans, particularly in recovering populations. We analyzed habitat selection in a recovering population of bobcats (Lynx rufus) in south-central Indiana using a Random Forest model. We predicted that bobcats would select forest habitat and forest edges but avoid agriculture to maximize encounters with prey species. We also predicted that bobcats would avoid developed areas and roads to minimize potential antagonistic interactions with humans. Results partially supported our predictions and were consistent with bobcats in the early stages of population expansion. Bobcats exhibited elevated use near forest edges, thresholds of avoidance near agriculture, and thresholds of selection for low and intermediate habitat heterogeneity. Bobcats exhibited peak probability of use 1-3 km from major roads, >800 m from minor roads, and <1km from developed areas, suggesting tradeoffs in reward for high-quality hunting areas and mortality risk. Our Random Forest model highlighted complex non-linear patterns and revealed that most shifts in habitat use occurred within 1 km of the edge of each habitat type. These results largely supported previous studies in the Midwest and across North America but also produced refinements of bobcat habitat use in our system, particularly at habitat boundaries. Refined models of habitat selection by carnivores enable improved prediction of the most suitable habitat for recovering populations and provides useful information for conservation.

Current Practice and Pitfalls of Select Biomarkers in the Emergency Care of Children.

Specific biomarker levels can help differentiate children who require emergent medical interventions, such as procedures, surgeries, or antibiotics, from those who may not. Appropriate application of biomarkers after a thorough history and physical examination can potentially improve cost-effective management by minimizing unnecessary procedures and tests without sacrificing patient safety. This issue reviews the literature regarding 4 biomarkers: lactate, C-reactive protein, ferritin, and procalcitonin. Evidence-based recommendations are made for the clinical evaluation of bacterial meningitis, common infections, and appendicitis.

Use of Intranasal Ketamine in Pediatric Patients in the Emergency Department.

OBJECTIVES: Ketamine is a safe and widely used sedative and analgesic in the pediatric emergency department (ED). The use of intranasal (IN) ketamine in exchange for the administration of intravenous sedatives or analgesics for procedural sedation in pediatric patients is not commonplace. The goal of this study was to evaluate provider perceptions and patient outcomes at varying doses of IN ketamine for anxiolysis, agitation, or analgesia. METHODS: From January 2018 to May 2018, we performed a prospective survey and chart review of pediatric patients receiving IN ketamine. The primary outcome was to determine provider satisfaction with using IN ketamine. Secondary objectives included comparing outcomes stratified by dose, adverse events, assessing for treatment failure, and ED length of stay (LOS). As a secondary comparison, patients receiving IN ketamine whom otherwise would have required procedural sedation with intravenous sedatives or analgesics were placed into a subgroup. This subgroup of patients was compared with a cohort who received intravenous sedatives or analgesics for procedural sedation during a similar period the preceding year (January 2017 to June 2017). RESULTS: Of the 196 cases, 100% of the providers were comfortable using IN ketamine. The median overall provider satisfaction was 90 out of 100, the perception of patient comfort was 75 out of 100, and perceived patient comfort was maximized when using doses between 3 and 5 mg/kg. There were 15 (7.7%) patients who experienced ketamine treatment failure. Overall, the rate of adverse events was 6%, but were considered minor [nausea (n = 3; 1.5%), dizziness (n = 2; 1%), and drowsiness (n = 2; 1%)]. No patients required respiratory support or intubation. The mean LOS was 237.9 minutes, compared with those who underwent procedural sedation with an LOS of 332.4 minutes (P < 0.001). CONCLUSIONS: This study demonstrates that IN ketamine was able to provide safe and successful analgesia and anxiolysis in pediatric patients in an ED setting. In addition, providers expressed a high degree of satisfaction with using IN ketamine (90 out of 100) in addition to a high degree of patient comfort during the procedure (75 out of 100). Intranasal ketamine provides an alternative to intravenous medication normally requiring more resource-intensive monitoring. Procedural sedations are resource and time intensive activities that increase ED LOS. Intranasal ketamine used for anxiolysis and analgesia offers the benefits of freeing up resources of staff and monitoring while enhancing overall throughput through a pediatric ED.

Intrinsic and extrinsic drivers of intraspecific variation in seed dispersal are diverse and pervasive.

There is growing realization that intraspecific variation in seed dispersal can have important ecological and evolutionary consequences. However, we do not have a good understanding of the drivers or causes of intraspecific variation in dispersal, how strong an effect these drivers have, and how widespread they are across dispersal modes. As a first step to developing a better understanding, we present a broad, but not exhaustive, review of what is known about the drivers of intraspecific variation in seed dispersal, and what remains uncertain. We start by decomposing 'drivers of intraspecific variation in seed dispersal' into intrinsic drivers (i.e. variation in traits of individual plants) and extrinsic drivers (i.e. variation in ecological context). For intrinsic traits, we further decompose intraspecific variation into variation among individuals and variation of trait values within individuals. We then review our understanding of the major intrinsic and extrinsic drivers of intraspecific variation in seed dispersal, with an emphasis on variation among individuals. Crop size is the best-supported and best-understood intrinsic driver of variation across dispersal modes; overall, more seeds are dispersed as more seeds are produced, even in cases where per seed dispersal rates decline. Fruit/seed size is the second most widely studied intrinsic driver, and is also relevant to a broad range of seed dispersal modes. Remaining intrinsic drivers are poorly understood, and range from effects that are probably widespread, such as plant height, to drivers that are most likely sporadic, such as fruit or seed colour polymorphism. Primary extrinsic drivers of variation in seed dispersal include local environmental conditions and habitat structure. Finally, we present a selection of outstanding questions as a starting point to advance our understanding of individual variation in seed dispersal.

Consequences of intraspecific variation in seed dispersal for plant demography, communities, evolution and global change.

As the single opportunity for plants to move, seed dispersal has an important impact on plant fitness, species distributions and patterns of biodiversity. However, models that predict dynamics such as risk of extinction, range shifts and biodiversity loss tend to rely on the mean value of parameters and rarely incorporate realistic dispersal mechanisms. By focusing on the mean population value, variation among individuals or variability caused by complex spatial and temporal dynamics is ignored. This calls for increased efforts to understand individual variation in dispersal and integrate it more explicitly into population and community models involving dispersal. However, the sources, magnitude and outcomes of intraspecific variation in dispersal are poorly characterized, limiting our understanding of the role of dispersal in mediating the dynamics of communities and their response to global change. In this manuscript, we synthesize recent research that examines the sources of individual variation in dispersal and emphasize its implications for plant fitness, populations and communities. We argue that this intraspecific variation in seed dispersal does not simply add noise to systems, but, in fact, alters dispersal processes and patterns with consequences for demography, communities, evolution and response to anthropogenic changes. We conclude with recommendations for moving this field of research forward.

Closing the gaps for animal seed dispersal: Separating the effects of habitat loss on dispersal distances and seed aggregation.

Habitat loss can alter animal movements and disrupt animal seed dispersal mutualisms; however, its effects on spatial patterns of seed dispersal are not well understood. To explore the effects of habitat loss on seed dispersal distances and seed dispersion (aggregation), we created a spatially explicit, individual-based model of an animal dispersing seeds (SEADS-Spatially Explicit Animal Dispersal of Seeds) in a theoretical landscape of 0%-90% habitat loss based on three animal traits: movement distance, gut retention time, and time between movements. Our model design had three objectives: to determine the effects of (1) animal traits and (2) habitat loss on seed dispersal distances and dispersion and (3) determine how animal traits could mitigate the negative effects of habitat loss on these variables. SEADS results revealed a complex interaction involving all animal traits and habitat loss on dispersal distances and dispersion, driven by a novel underlying mechanism of fragment entrapment. Unexpectedly, intermediate habitat loss could increase dispersal distances and dispersion relative to low and high habitat loss for some combinations of animal traits. At intermediate habitat loss, movement between patches was common, and increased dispersal distances and dispersion compared to continuous habitats because animals did not stop in spaces between fragments. However, movement between patches was reduced at higher habitat loss as animals became trapped in fragments, often near the parent plant, and dispersed seeds in aggregated patterns. As movement distance increased, low time between movements and high gut retention time combinations permitted more movement to adjacent patches than other combinations of animal traits. Because habitat loss affects movement in a nonlinear fashion under some conditions, future empirical tests would benefit from comparisons across landscapes with more than two levels of fragmentation.

Ventricular Tachycardia: A Rare Commotio Cordis Presentation.

Commotio cordis is a rare event caused by an unfortunately timed blunt anterior chest wall impact that most commonly presents in young male adolescents and is the second leading cause of death in young athletes. The most common initial presenting dysrhythmias are ventricular fibrillation and asystole, although other rare dysrhythmias have been reported-predominantly in animal models. To our knowledge, this is the first telemetry-confirmed case of commotio cordis with a presenting cardiac rhythm of ventricular tachycardia. While prompt recognition of commotio cordis and early cardiopulmonary resuscitation and defibrillation (if applicable) are still the treatment in these cases, our case offers potential insight into the underlying commotio cordis process.

Adherence to head computed tomography guidelines for mild traumatic brain injury.

INTRODUCTION: Traumatic brain injury (TBI) is a significant health concern. While 70-90% of TBI cases are considered mild, decision-making regarding imaging can be difficult. This survey aimed to assess whether clinicians' decision-making was consistent with the most recent American College of Emergency Physicians (ACEP) clinical recommendations regarding indications for a non-contrast head computed tomography (CT) in patients with mild TBI. METHODS: We surveyed 2 academic emergency medicine departments. Six realistic clinical vignettes were created. The survey software randomly varied 2 factors: age (30, 59, or 61 years old) and presence or absence of visible trauma above the clavicles. A single important question was asked: "Would you perform a non-contrast head CT on this patient?" RESULTS: Physician decision-making was consistent with the guidelines in only 62.8% of total vignettes. By age group (30, 59, and 61), decision-making was consistent with the guidelines in 66.7%, 47.4%, and 72.7% of cases, respectively. This was a statistically-significant difference when comparing the 59- and 61-year-old age groups. In the setting of presence/absence of trauma above the clavicles, respondents were consistent with the guidelines in 57.1% of cases. Decision-making consistent with the guidelines was significantly better in the absence of trauma above the clavicles. CONCLUSION: Respondents poorly differentiated the "older" patients from one another, suggesting that respondents either inappropriately apply the guidelines or are unaware of the recommendations in this setting. No particular cause for inconsistency could be determined, and respondents similarly under-scanned and over-scanned in incorrect vignettes. Improved dissemination of the ACEP clinical policy and recommendations is a potential solution to this problem.