Animal Populations Research Articles

Spaycations: A Qualitative Study of Veterinarians’ Motivations And Perceived Impacts of Remote Volunteer Spay Neuter

Increasingly, veterinarians skilled in High Quality High Volume Spay Neuter (HQHVSN) are invited to volunteer their surgical services in distant low-resource communities on trips that have become casually known as “spaycations.” While these trips are numerous, there is little research on veterinarians’ motivations for participating and their perceptions of the impacts these clinics have on communities they visit. The current study was open to veterinarians who work in or are trained in HQHVSN whether or not they had been on a spaycation trip. For the purpose of this study, a spaycation is defined as an unpaid or minimally paid trip from a high resource area to a low or moderate resource country or area to provide spay neuter services that is organized by someone other than the individual surgeon. Forty-one veterinarians responded to an electronic questionnaire containing open-ended questions relating to their thoughts and experiences regarding spaycations and their impacts on the volunteer veterinarians as well as on the animals, clients, communities, veterinary practitioners, and animal populations in the areas visited. A reflexive thematic analysis was conducted in which the veterinarians’ responses were coded inductively for semantic themes using a critical realist approach. Respondents had participated in a variety of spaycations around the world over the past 20 years. Most responding veterinarians were motivated by a desire to make a difference and give back to communities in need as well as the desire to travel and to experience other cultures. Many enjoyed bonding with and learning from other vets and team members on the spaycation, and said that while the trips were exhausting they were also paradoxically energizing, and that they renewed their professional passion. Many veterinarians were concerned by the financial and time commitments associated with participating in spaycations, and these costs had prevented some veterinarians from participating. Further reasons for not participating in spaycations included concerns about stress and burnout and about the continual expectation for veterinarians to volunteer their time. Some veterinarians presented concerns about spaycations producing damaging interactions with the local communities including cultural misunderstandings, distrust, the creation of dependence, colonialism, and White Savior syndrome. Local involvement in the spay neuter event varied, with some events entirely planned and staffed locally and involving training and mentorship of local veterinary professionals and students, while other spaycations included little local involvement. Veterinarians varied in their estimation of the animal population impact of the spaycation and agreed that recurrent or ongoing interventions are necessary for appreciable and sustainable population impacts, but that health impacts on individual animals and their families were important and visible even after a single trip. Thematic analysis identified three main themes, HQHVSN is a special skill set, Colonialism and Cost and Value. Spaycations are a unique way for HQHVSN veterinarians to use their distinctive skills in communities of need. The compelling nature of these trips necessitates conscientious and culturally-sensitive leadership and planning to provide safe, sustainable, community-centered programs with a focus on long-term solutions.

Markov Chains and Kinetic Theory: A Possible Application to Socio-Economic Problems

A very important class of models widely used nowadays to describe and predict, at least in stochastic terms, the behavior of many-particle systems (where the word “particle” is not meant in the purely mechanical sense: particles can be cells of a living tissue, or cars in a traffic flow, or even members of an animal or human population) is the Kinetic Theory for Active Particles, i.e., a scheme of possible generalizations and re-interpretations of the Boltzmann equation. Now, though in the literature on the subject this point is systematically disregarded, this scheme is based on Markov Chains, which are special stochastic processes with important properties they share with many natural processes. This circumstance is here carefully discussed not only to suggest the different ways in which Markov Chains can intervene in equations describing the stochastic behavior of any many-particle system, but also, as a preliminary methodological step, to point out the way in which the notion of a Markov Chain can be suitably generalized to this aim. As a final result of the discussion, we find how to develop new very plausible and likely ways to take into account possible effects of the external world on a non-isolated many-particle system, with particular attention paid to socio-economic problems.

Determination of hematological and biochemical values blood parameters for European bison (Bison bonasus).

Hematological and biochemical blood parameters are important tools for evaluating animals' health. They might be crucial in assessing the health of entire populations of wild animals, such as European bison (Bison bonasus). The aim of this study was to establish hematological and biochemical values for healthy European bison and to determine whether there were significant relations with age and sex. Blood samples were collected from 79 animals and tested according to generally accepted standards and the results were subjected to statistical analysis. Most of the age and gender-related correlations found in our study were predictable based on previous reports. Due to bone growth, juvenile animals have typically higher ALP and P concentrations relative to adults. Several age-related dependencies were surprising, like higher Na concentration in younger European bison. Determination of hematological and biochemical blood parameters of healthy European bison may significantly contribute to the further restitution of this endangered species.

PROGRESSIVE CONTROL AND MANAGEMENT STRATEGIES IN THE ELIMINATION OF RABIES AMONG THE STRAY DOG (CANIS FAMILIARIS) POPULATION IN PAKISTAN

Stray dogs are integrally linked with rabies transmission, and a sizeable unmanaged dog population hinders rabies control program planners. Dog population management (DPM) is one of the best strategies to control rabies transmission, improve health management, and lower the population size of stray dogs. The threat of rabies is very serious due to free-roaming dogs. Foxes, skunks, groundhogs, raccoons, and house bats are rabies vector species and can carry rabies virus without showing any symptoms. Rabies is a life-threatening disease that affects thousands of losses worldwide every year. World Rabies Day is an international awareness campaign coordinated by the Global Alliance for Rabies Control (GARC). In Pakistan, there are reportedly 3 million stray dogs. More than one million dog bite cases are reported annually throughout Pakistan. About 600 dog bite cases are reported daily in the Sindh province, Pakistan. Due to an uncontrolled number of stray dogs, many serious problems arise related to public health, socio-economic, and political issues. The Animal Act of 1890 provides a specific defense against cruelty and establishes its importance in Pakistani culture. Developing long-term and supportable strategies is imperative to overcome the stray animal population worldwide. To overcome the rabies issue in Pakistan, the government should implement projects on breeding control of stray dogs through spaying and neutering surgeries. The government should also provide proper shelters for dogs and rabies vaccines. There is a need to be aware of basic preventive measures such as disinfectants and rabies vaccination. Public awareness, rabies vaccination, and dog sterilization at the national level are crucial factors in preventing rabies and managing the dog population in Pakistan.

A Look at Genomic Selection Techniques for Climate Change Adaptation and Production in Livestock

Livestock production profoundly intersects with global climate dynamics, contributing to greenhouse gas emissions and confronting vulnerability to climate impacts. In addressing these challenges, imperative adjustments are requisite to fortify the climate robustness of livestock systems. Notably, the prevalent reliance on commercial breeds with limited genetic diversity exposes production strategies to disruption, especially if these breeds are confined to environments that may lose economic viability under future climate scenarios. Consequently, understanding the adaptability of animal populations to forthcoming environmental conditions is paramount for sustaining livestock production. Assessing the genetic underpinnings of climate adaptation necessitates the exploration of tailored genomic selection techniques encompassing both production traits, presumed to have moderate heritability, and adaptation traits, presumed to have low heritability. Through a nuanced examination of genomic selection dynamics, insights into the genetic mechanisms fostering resilience in livestock populations amidst shifting environmental contexts are garnered. Employ genomic analysis to pinpoint genetic markers associated with traits like heat tolerance, disease resistance, and feed efficiency in livestock. Collaborate across disciplines to develop tailored breeding programs integrating these markers, and validate their effectiveness through rigorous field trials and ongoing monitoring to enhance livestock resilience and productivity in varied climatic conditions. Elucidating these mechanisms and their application in breeding programs offers a comprehensive understanding of how genetic advancements can enhance both production efficiency and climate resilience in livestock. This discourse aims to bridge the chasm between scientific inquiry and pragmatic implementation, thereby facilitating informed decision-making in livestock breeding strategies tailored to mitigate the ramifications of climate change.

SpAbundance: An R package for single‐species and multi‐species spatially explicit abundance models

Abstract Numerous modelling techniques exist to estimate abundance of plant and animal populations. The most accurate methods account for multiple complexities found in ecological data, such as observational biases, spatial autocorrelation, and species correlations. There is, however, a lack of user‐friendly and computationally efficient software to implement the various models, particularly for large data sets. We developed the spAbundance R package for fitting spatially explicit Bayesian single‐species and multi‐species hierarchical distance sampling models, N‐mixture models, and generalized linear mixed models. The models within the package can account for spatial autocorrelation using Nearest Neighbour Gaussian Processes and accommodate species correlations in multi‐species models using a latent factor approach, which enables model fitting for data sets with large numbers of sites and/or species. We provide three vignettes and three case studies that highlight spAbundance functionality. We used spatially explicit multi‐species distance sampling models to estimate density of 16 bird species in Florida, USA, an N‐mixture model to estimate black‐throated blue warbler (Setophaga caerulescens) abundance in New Hampshire, USA, and a spatial linear mixed model to estimate forest above‐ground biomass across the continental USA. spAbundance provides a user‐friendly, formula‐based interface to fit a variety of univariate and multivariate spatially explicit abundance models. The package serves as a useful tool for ecologists and conservation practitioners to generate improved inference and predictions on the spatial drivers of abundance in populations and communities.

Are there opportunities to strengthen animal welfare through improved management of feedlot chronic pens?

In feedlot cattle production systems, there is a population of sick cattle that fail to respond to treatment, are deemed chroni­cally ill, and typically placed in a “chronic pen”. This popula­tion of chronic cattle is understudied in the current literature, and the absence of evidence-based protocols and guidance re­sources may lead to specific cattle welfare risks associated with chronic pens. Anecdotally, management of this population of animals varies widely across feedlots with potential impacts on animal welfare and productivity. The purpose of this descrip­tive epidemiologic study was to identify and describe key demo­graphic patterns in chronic feedlot cattle populations.

The epidemiology and clinical features of the neglected myiasis: A pilot surveillance study from Oman.

Myiasis is a neglected disease, characterized by ill-defined diagnostics and management protocols. Published epidemiological and clinical studies of myiasis are still scarce, although several countries, such as Oman, have reported a few cases over the past 30 years. This study explores the epidemiological profile and clinical characteristics of myiasis in South Batinah Governorate (SBG), Oman. A prospective surveillance study was conducted in SBG from 1st November 2018 to 31st October 2019. Clinical and epidemiological data were collected using a pre-designed reporting form for suspected and confirmed cases. A total of 188 cases were reported, of which 81.4% were male. One-third of cases were 11-20 years old, and a quarter reported exposure inside house. The rate of exposure was 16 per 10000 in Nakhal and Wadi Mawel. About 57% patients reported multiple re-exposure. Almost 60% of patients developed nasal or oral myiasis, 25% developed myiasis in the eye, and 4% in the ear. The most common respiratory symptoms were cough (83%), runny nose (48%), and foreign body sensation (35%). Over 50% of patients with eye exposures had redness, pain, and itchiness. Most patients (89.3%) kept animals at homes. Many cases occurred between December 2018 and April 2019, with almost one-third of exposures occurring at 5 p.m. Re-exposure likelihood for patients residing in Nakhal and Wadi Mawel was high; OR = 2.49 (95% CI 1.14-5.45), with OR = 3.59 (95% CI 1.37-9.39) for 11-20-year-olds and, OR = 3.01 (95% CI 1.07-8.42) for patients ≥ 31 years. The myiasis exposure rate is high in certain areas and age groups, which is most likely associated with animal-related activities. The disease has a significant impact upon people's health in SBG. Therefore, urgent active-surveillance and clinical studies are warranted to explore possible preventive measures and treatment options. Adopting one health approach could offer an effective strategy for preventing myiasis in human and animal populations.

Synchronizing Drosophila larvae with the salivary gland reporter Sgs3-GFP for discovery of phenotypes in the late third instar stage.

The larval stage of the Drosophila melanogaster life cycle is characterized by rapid growth and nutrient storage that occur over three instar stages separated by molts. In the third instar, the steroid hormone ecdysone drives key developmental processes and behaviors that occur in a temporally-controlled sequence and prepare the animal to undergo metamorphosis. Accurately staging Drosophila larvae within the final third instar is critical due to the rapid developmental progress at this stage, but it is challenging because the rate of development varies widely across a population of animals even if eggs are laid within a short period of time. Moreover, many methods to stage third instar larvae are cumbersome, and inherent variability in the rate of development confounds some of these approaches. Here we demonstrate the usefulness of the Sgs3-GFP transgene, a fusion of the Salivary gland secretion 3 (Sgs3) and GFP proteins, for staging third instar larvae. Sgs3-GFP is expressed in the salivary glands in an ecdysone-dependent manner from the midpoint of the third instar, and its expression pattern changes reproducibly as larvae progress through the third instar. We show that Sgs3-GFP can easily be incorporated into experiments, that it allows collection of developmentally-equivalent individuals from a mixed population of larvae, and that its use enables precise assessment of changing levels of hormones, metabolites, and gene expression during the second half of the third instar.

225 Genomic diversity of Katahdin sheep and impacts on genomic prediction

Abstract In the late 1950s, Katahdin hair sheep were developed as a composite breed of medium size and moderate prolificacy, with potential to express resistance to gastrointestinal nematodes. With its increasing popularity and the recent adoption of genomic prediction in the Katahdin breeding program, evaluating the genetic diversity in this breed is necessary. Prediction accuracies rely on the strength of genetic relationships. That strength often increases with selection using genomically-enhanced estimated breeding values; however, it carries the risk of decreasing diversity. We aim to characterize the genetic diversity present in the breed and the subsequent impact on the accuracies of genomic predictions. Genotypes on Katahdin sheep from member flocks in the National Sheep Improvement Program were used. Data from two medium density 50k bead chips and one high density 600k bead chip were merged and limited to shared autosomal single nucleotide polymorphisms (SNP). After quality control, there were 9,705 animals and 31,984 SNP remaining. Only for analyses of inbreeding and heterozygosity, linkage disequilibrium (LD) pruning was performed; variants with an LD score exceeding 0.8 were removed with 29,904 SNP remaining. To determine the extent of population structure, principal component (PC) analysis was conducted with PC one and PC two explaining 4.9% and 3.8% of the variation in the population, respectively. When examining subpopulations, a single ancestral population explained 99.9% of the genetic variation among animals. When clustered by identity-by-state, all animals were placed in a single cluster. Inbreeding coefficients were estimated with four methods: method of moments, variance-standardized relationship minus one, excess homozygosity, and correlation between uniting gametes. Across methods, average inbreeding coefficients ranged from 1.14% to 1.20% with Pearson and Spearman correlations ranging from -0.51 to 0.91 (Table 1). Historical effective population sizes (Ne) were estimated for earlier generations, and a linear regression fit to predict more recent Ne. At the founding of the breed, historical Ne was estimated to be 310, and the current Ne was estimated to be 150. Effects of Ne on the accuracy of genomic predictions were examined for reference population sizes ranging from 1k to 25k for traits of low (0.1), moderate (0.3), and high (0.5) heritabilities. The corresponding number of effective chromosomal segments were 2NeL, where L was the length of the genome in morgans (26M). Accuracies of genomic predictions increased as the reference population size grew, with only marginal gains once the population exceeded 15k. Overall, there were no detectable genetic subpopulations in the Katahdin breed. Current levels of inbreeding were low. With a small Ne the breed can achieve high accuracy for genomic predictions by aiming for a reference population of 15k animals. Negative impacts on genetic diversity due to genomic selection are not of immediate concern.

226 Oral and rumen microbiome characterization to predict host phenotypes

Abstract Studies have utilized rumen microbiome composition and function to predict animal phenotypes. Yet, sample collection for rumen microbial community analysis can be difficult and invasive and hinders the possibility of sampling large animal populations. In this study, we investigated the development of the bovine rumen microbiome over time, to identify the potential of the oral microbiome as a proxy for the rumen microbiome, and to test the applicability of using the oral microbiome for predicting phenotypes in beef cattle. We employed 16S rRNA amplicon sequencing to characterize the rumen and oral bacterial community structure over time and collected both birth and weaning weights in a population of 220 animals. Our findings show that both the oral and rumen microbiomes are established early, and a significant portion of the taxa persists even after weaning. We identified a group of core successional species shared between the oral and rumen bacterial communities, which are established early and persist over time. The oral bacterial community was dominated by phyla Proteobacteria, Firmicutes, Bacteroidota, and Actinobacteria, while the rumen bacterial community was dominated by phyla Bacteroidota, Firmicutes, Verrucomicrobia, Fibrobacteria, and Spirochaetota. Furthermore, we observed that 38% of Amplicon Sequence Variants (ASVs) were shared between the oral and rumen microbiomes at 50 to 120 d of age. At 170 to 240 d of age, 37% of ASVs were shared, and at 295 to 365 d, 33% of ASVs were shared. Finally, at 400 to 468 d, 21% of ASVs were shared. Based on weighted Unifrac analysis, notable differences and distinct clustering was observed between oral and rumen microbiome communities at different sampling ages (P = 0.001; R2 = 0.50969, 50 to 120; P = 0.001; R2 = 0.66247, 170 to 240; P = 0.001; R2 = 0.62036, 295 to 365; and P = 0.001, R2 = 0.66559, 400 to 468). Microbiability estimates varied across different stages and microbial environments. For the oral bacterial community at 50 to 120, the estimates were 0.029%, 0.032%, 0.029%, and 0.028% for birth weight, weaning weight, intramuscular fat (IMF), and ribeye area (REA), respectively. In contrast, the rumen microbiome exhibited microbiability values of 0.034%, 0.058, 0.059, and 0.069% for birth weight, weaning weight, IMF, and REA respectively during the same period. As the animal aged the microbiability increased. At 170 to 240, oral microbiomes showed microbiability estimates of 0.051%, 0.060%, 0.069%, and 0.21% for birth weight, weaning weight, IMF, and REA respectively. In comparison, the rumen microbiome displayed greater microbiability estimates of 0.12%, 0.124%, 0.20%, and 0.26% for birth weight, weaning weight, IMF, and REA respectively. In conclusion, the oral microbiome is not a good proxy for the rumen microbiome composition; however, there is potential to use the oral microbiome for phenotype prediction.

Microbial dynamics and climatic interactions in pig sheds: Insights into airborne microbes and particulate matter concentrations.

Emissions of airborne pollutants from livestock buildings affect indoor air quality, the health and well-being of farmers, animals and the environment. This study aimed to evaluate the microbial count within pig sheds and its relationship with meteorological variables (temperature, relative humidity and air velocity) and particulate matter (PM10 and PM2.5) and microbial diversity. Sampling was conducted both inside and outside of two pig sheds over three seasons (summer, rainy and winter), with regular monitoring at fortnightly intervals. Results showed that the bacterial and fungal counts ranged from 0.07 to 3.98 x 103 cfu/m3 inside the sheds and 0.01 to 1.82 x 103 cfu/m3 outside. Seasonal variations were observed, with higher concentrations of particulate matter detected during the winter season, followed by summer. Climatic variables such as temperature, air velocity and relative humidity demonstrated significant impacts on the abundance of Enterobacteriaceae and fungi, while air velocity specifically influenced the presence of mesophilic bacteria and staphylococci. Importantly, no significant disparities were found between microbial counts and particulate matter levels. Staphylococcaceae emerged as the predominant bacterial family, while Aspergillus and Cladosporium spp. were the dominant fungal species within the pig sheds. The average levels of airborne bacteria and fungi in pig sheds were found to be within the recommended range, which can be attributed to the loose housing design and lower animal population on the farms.

Evolution of Cooperation in Spatio-Temporal Evolutionary Games with Public Goods Feedback.

In biology, evolutionary game-theoretical models often arise in which players' strategies impact the state of the environment, driving feedback between strategy and the surroundings. In this case, cooperative interactions can be applied to studying ecological systems, animal or microorganism populations, and cells producing or actively extracting a growth resource from their environment. We consider the framework of eco-evolutionary game theory with replicator dynamics and growth-limiting public goods extracted by population members from some external source. It is known that the two sub-populations of cooperators and defectors can develop spatio-temporal patterns that enable long-term coexistence in the shared environment. To investigate this phenomenon and unveil the mechanisms that sustain cooperation, we analyze two eco-evolutionary models: a well-mixed environment and a heterogeneous model with spatial diffusion. In the latter, we integrate spatial diffusion into replicator dynamics. Our findings reveal rich strategy dynamics, including bistability and bifurcations, in the temporal system and spatial stability, as well as Turing instability, Turing-Hopf bifurcations, and chaos in the diffusion system. The results indicate that effective mechanisms to promote cooperation include increasing the player density, decreasing the relative timescale, controlling the density of initial cooperators, improving the diffusion rate of the public goods, lowering the diffusion rate of the cooperators, and enhancing the payoffs to the cooperators. We provide the conditions for the existence, stability, and occurrence of bifurcations in both systems. Our analysis can be applied to dynamic phenomena in fields as diverse as human decision-making, microorganism growth factors secretion, and group hunting.

Male elephant management in AZA institutions: Current status and priorities for the future.

Asian elephant (Elephas maximus) and African savanna elephant (Loxodonta africana) populations collectively managed by ex-situ facilities accredited by the Association of Zoos and Aquariums (AZA)face sustainability challenges. Among the priorities to strengthen animal wellbeing and population sustainability is male elephant management. We conducted a survey of AZA facilities currently housing male elephants to assess the status, challenges, and priorities in three areas of male elephant management: musth, socialization, and semen collection. Surveys were administered to elephant care teams at AZA-accredited institutions between November 2022 and February 2023, and we received responses from 34 institutions (91.9% of AZA-accredited facilities holding adult male elephants), housing 32 adult male Asians and 26 adult male Africans. Most facilities prioritized breeding and male socialization over musth management and semen collection (although most facilities acknowledged that all these efforts are important), citing leadership support and staffing as most important to achieve male management goals. Behaviors most commonly accompanying musth included reduced appetite, difficulty training or shifting, human-directed aggression, and interest in females. Musth timing was variable between males and facilities. Most males were well-socialized with females and/or other males, though elephant compatibility and facility design were limiting factors in managing socialization. Although 60.6% of facilities collected semen or were training for semen collection, very few male elephants could reliably provide viable semen samples, challenging assisted reproductive efforts that could bolster population sustainability in both species. Together, our results provide a better understanding of the state of male elephant management, offering specific areas deserving of research and development to enhance wellbeing and sustainability.

Evidence of SARS-CoV-2 Antibody in Mississippi White-Tailed Deer.

Background: Early detection and monitoring of SARS-CoV-2 infections in animal populations living in close proximity to humans is crucial for preventing reverse zoonosis of new viral strains. Evidence accumulated has revealed widespread SARS-CoV-2 infection among white-tailed deer (WTD), (Odocoileus virginianus) populations in the United States except in the southeast region. Therefore, the objective was to conduct surveillance for evidence of SARS-CoV-2 infection among WTD in Mississippi. Materials and Methods: Blood, kidney tissues, and nasal swab samples were collected in 17 counties from hunter-harvested deer during 2021-2022 and 2022-2023.Samples of kidney tissue were collected to evaluate for detecting antibody as a possible alternative to blood that is not always available from dead WTD. Nasal swab samples were tested for SARS-CoV-2 viral RNA by a RT-PCR assay. Sera and kidney tissue samples were tested for SARS-CoV-2 antibody by an enzyme-linked immunoassay (ELISA) and sera by a plaque reduction neutralization test (PRNT80). Results: The results of testing sera and kidney homogenate samples provided the first evidence of SARS-CoV-2 infection among WTD in Mississippi. The infection rate during 2021-2022 was 67% (10/15) based on the detection of neutralizing antibody by the PRNT80 and 26%(16/62) based on the testing of kidney tissue homogenates by an ELISA, and viral RNA was detected in 25% (3/12) of nasal swab samples. In 2022 to 2023, neutralizing antibody was detected in 62% (28/45) of WTD serum samples. In contrast, antibodies were not detected in 220 kidney homogenates by an ELISA nor was viral RNA detected in 220 nasal swab samples. Evidence of WTD activity was common in urban areas during the survey. Conclusion: Overall, the findings documented the first SARS-CoV-2 infection among WTD in Mississippi and showed that WTD commonly inhabited urban areas as a possible source of acquiring infection from humans infected with this virus.

A retrospective case-control study evaluating systemic blood pressure and heart rate in dogs with brain herniation under general anesthesia

ObjectiveTo examine whether increased systemic arterial blood pressure (ABP) and decreased heart rate (HR) under inhalant anesthesia were suggestive of the Cushing reflex (CR) in dogs with neurological diseases based on magnetic resonance imaging (MRI) findings. Study designRetrospective case-control studyAnimals or Animal population: A sample of 137 client owned dogs admitted to two veterinary teaching hospitals for diagnosis and patient care due to suspected intracranial disease from 2005–2020. All dogs underwent general anesthesia for MRI of the brain. MethodsBased on MRI study reports, dogs were divided into three study groups: dogs with suspected brain herniation, dogs with an abnormal MRI finding but without suspicion of herniation, or dogs with structurally unremarkable brains (control). Initial evaluation by an anesthesiologist resulted in 58 cases selected for further review based on suspicion of having intracranial hypertension, as indicated by ABP and HR changes under anesthesia. Anesthetic records were randomized and independently reviewed by three board certified anesthesiologists blinded to MRI diagnosis who allocated each dog into one of three groups: (1) likely to have CR, (2) unlikely to have CR, or (3) insufficient data for determination. ResultsOf the 58 cases evaluated, 9 cases were considered likely to have CR and 48 were considered unlikely to have CR. In one case, the anesthesiologists were unable to determine whether CR occurred. Of the 9 dogs with likely CR, 3 had an MRI diagnosis of intracranial herniation. The remaining 6 dogs suspected of CR belonged to the normal brain group. Conclusions and Clinical RelevanceABP and HR changes associated with CR are not reliably associated with brain herniation in dogs undergoing general anesthesia.

Dispersal and connectivity in increasingly extreme climatic conditions.

While climate change has been shown to impact several life-history traits of wild-living animal populations, little is known about its effects on dispersal and connectivity. Here, we capitalize on the highly variable flooding regime of the Okavango Delta to investigate the impacts of changing environmental conditions on the dispersal and connectivity of the endangered African wild dog (Lycaon pictus). Based on remote sensed flood extents observed over 20 years, we derive two extreme flood scenarios: a minimum and a maximum flood extent, representative of very dry and very wet environmental periods. These conditions are akin to those anticipated under increased climatic variability, as it is expected under climate change. Using a movement model parameterized with GPS data from dispersing individuals, we simulate 12,000 individual dispersal trajectories across the ecosystem under both scenarios and investigate patterns of connectivity. Across the entire ecosystem, surface water coverage during maximum flood extent reduces dispersal success (i.e., the propensity of individuals to disperse between adjacent subpopulations) by 12% and increases dispersal durations by 17%. Locally, however, dispersal success diminishes by as much as 78%. Depending on the flood extent, alternative dispersal corridors emerge, some of which in the immediate vicinity of human-dominated landscapes. Notably, under maximum flood extent, the number of dispersing trajectories moving into human-dominated landscapes decreases by 41% at the Okavango Delta's inflow, but increases by 126% at the Delta's distal end. This may drive the amplification of human-wildlife conflict. While predicting the impacts of climate change on environmental conditions on the ground remains challenging, our results highlight that environmental change may have significant consequences for dispersal patterns and connectivity, and ultimately, population viability. Acknowledging and anticipating such impacts will be key to effective conservation strategies and to preserve vital dispersal corridors in light of climate change and other human-related landscape alterations.

Low temperature induces a significant decrease in auditory sensitivity of Xenopus laevis

ABSTRACT Temperature is a critical factor in shaping the physiological and metabolic processes of animals, notably impacting their auditory systems. Particularly, ectotherms face heightened vulnerability to temperature fluctuations. To comprehend the impact of rapid temperature changes on the auditory sensitivity of ectotherms, we measured the auditory sensitivity of Xenopus laevis at 10°C, 20°C, and 30°C respectively, using the auditory brainstem response. Our results reveal a significant decrease in auditory sensitivity of X. laevis at 10°C, with auditory thresholds markedly higher than those observed at 20°C and 30°C. Conversely, as the test temperature increased from 20°C to 30°C, their hearing sensitivity did not decline but tended to become more sensitive. In conclusion, our results suggest that rapid temperature changes have a discernible impact on the hearing sensitivity of X. laevis, particularly at low temperatures. These rapid environmental temperature changes significantly impact the sensory capabilities and courtship behaviours of animals, thereby influencing their population dynamics. Hence, revealing the consequences of rapid temperature fluctuations on sensory sensitivity in ectotherms is crucial for understanding the repercussions of climate change on animal population dynamics. These insights have profound implications for both environmental management and animal conservation.

Quantifying cost of disease in livestock: a new metric for the Global Burden of Animal Diseases

Increasing awareness of the environmental and public health impacts of expanding and intensifying animal-based food and farming systems creates discord, with the reliance of much of the world's population on animals for livelihoods and essential nutrition. Increasing the efficiency of food production through improved animal health has been identified as a step towards minimising these negative effects without compromising global food security. The Global Burden of Animal Diseases (GBADs) programme aims to provide data and analytical methods to support positive change in animal health across all livestock and aquaculture animal populations. In this study, we present a metric that begins the process of disease burden estimation by converting the physical consequences of disease on animal performance to farm-level costs of disease, and calculates a metric termed the Animal Health Loss Envelope (AHLE) via comparison between the status quo and a disease-free ideal. An example calculation of the AHLE metric for meat production from broiler chickens is provided. The AHLE presents the direct financial costs of disease at farm-level for all causes by estimating losses and expenditure in a given farming system. The general specification of the model measures productivity change at farm-level and provides an upper bound on productivity change in the absence of disease. On its own, it gives an indication of the scale of total disease cost at farm-level. The AHLE is an essential stepping stone within the GBADs programme because it connects the physical performance of animals in farming systems under different environmental and management conditions and different health states to farm economics. Moving forward, AHLE results will be an important step in calculating the wider monetary consequences of changes in animal health as part of the GBADs programme. Bill & Melinda Gates Foundation, the UK Foreign, Commonwealth and Development Office, EU Horizon 2020 Research and Innovation Programme.

Social restructuring during harsh environmental conditions promotes cooperative behaviour in a songbird.

Cooperation may emerge from intrinsic factors such as social structure and extrinsic factors such as environmental conditions. Although these factors might reinforce or counteract each other, their interaction remains unexplored in animal populations. Studies on multilevel societies suggest a link between social structure, environmental conditions and individual investment in cooperative behaviours. These societies exhibit flexible social configurations, with stable groups that overlap and associate hierarchically. Structure can be seasonal, with upper-level units appearing only during specific seasons, and lower-level units persisting year-round. This offers an opportunity to investigate how cooperation relates to social structure and environmental conditions. Here, we study the seasonal multilevel society of superb fairy-wrens (Malurus cyaneus), observing individual responses to experimental playback of conspecific distress calls. Individuals engaged more in helping behaviour and less in aggressive/territorial song during the harsher non-breeding season compared to the breeding season. The increase in cooperation was greater for breeding group members than for members of the same community, the upper social unit, comprised of distinct breeding groups in association. Results suggest that the interaction between social structure and environmental conditions drives the seasonal switch in cooperation, supporting the hypothesis that multilevel societies can emerge to increase cooperation during harsh environmental conditions.