Search Results (61)

Monitoring both captive animals and wild populations is necessary to ensure adequate animal welfare and wildlife conservation. Existing monitoring tools, e.g., camera traps, enable surveillance, yet analysis can prove time-consuming and labor-intensive if handled manually. The automated nature of machine learning (ML) reduces observer bias and manual workload and improves assessment capacity of behavioral monitoring tools that are often used by staff at zoological institutions. This study investigated the activity and space use of three captive jaguars (Panthera onca) through automated individual recognition, activity tracking, and heatmap visualization using an ML model trained on video footage. In total, 123.8 h of video footage was recorded of the jaguar enclosure in Randers Regnskov, Tropical Zoo. The ML model analyzed all videos containing jaguars from one day. The model achieved satisfactory performance based on its evaluation metrics (mean average precision, recall, precision, and F1-score). The ML model showed repeated movement tracks within specific enclosure areas. The jaguars exhibited significantly more inactive than active behavior and did not seem to exhibit natural bimodal nocturnal or crepuscular hunter activity patterns. It should be stated that, due to the small sample size of only three jaguars and 24 analyzed hours, this study is a proof-of-concept to demonstrate the potential of ML methods as valuable tools for individual recognition, activity tracking, and monitoring of space use to aid in future animal welfare monitoring. Full article

Zoological parks increasingly operate as sustainability-oriented institutions that integrate biodiversity conservation, environmental education, animal welfare, and community engagement. In parallel with these evolving roles, digital and interactive technologies have emerged as key instruments for supporting sustainable visitor engagement and conservation communication. This study provides a systematic review and conceptual mapping of the literature by combining a PRISMA-based systematic literature review with bibliometric co-word analysis. The bibliometric results reveal four thematic clusters: (1) mobile and visitor-oriented digital technologies, (2) immersive augmented reality (AR) or virtual reality (VR) based solutions, (3) animal–computer interaction and welfare-focused technologies, and (4) traditional conservation and education research. While digital technologies demonstrate measurable short-term effects on engagement, empathy, and knowledge retention, their long-term sustainability impact and systemic integration remain limited. To address this gap, the study introduces three theoretical contributions: the concept of the zoo-based digital learning ecology, the identification of the digital fragmentation problem, and the Integrated Digital Zoo Ecosystem (IDZE) model. The proposed framework conceptualizes digital visitor experience, animal welfare technologies, and conservation communication as interdependent subsystems within a unified sustainability-oriented ecosystem. This study provides a conceptual foundation for future sustainability-driven digital innovation in zoological parks. Full article

Assessing zoo animal welfare can involve generic evaluations or targeted, species-specific protocols. While the latter offer greater precision, their development is often limited by species diversity and the lack of validated indicators. The Animal Welfare Monitor^® (AWM) protocol addresses these challenges by adapting Welfare Quality^® principles to zoological contexts. Its core innovation is a four-level hierarchical structure (base, order, family, species) linking broad taxonomic knowledge to species-level protocols. This enables tailored questionnaires for each species, including data-deficient taxa, by leveraging information from related groups. Questionnaires, covering housing, nutrition, health, and behaviour, are complemented by behavioural observations. AWM currently covers 87 species (69 mammals, 15 birds, 2 amphibians, 1 reptile) and constitutes a substantial database of species-specific welfare assessment protocols embedded within a single, standardised methodological framework. Between 2021 and 2025, 14 zoos conducted over 1000 assessments and 15,000 behavioural observations, demonstrating the protocol’s feasibility in routine operations. AWM integrates data entry with visual documentation, such as photographs of enclosures or enrichment, which add context, enhance decision-making, and strengthen long-term records. While refinements such as group-level assessment remain, AWM offers a scalable, flexible tool combining scientific rigour with operational applicability, supporting positive welfare outcomes across diverse zoological institutions. Full article

The Siberian moth, Dendrolimus sibiricus Tschetverikov, is one of the most destructive conifer pests in Northern Asia, causing severe ecological and economic losses. In Russia, its range overlaps with that of the closely related pine-tree lappet Dendrolimus pini (L.), and this raises the potential for hybridization and complicates accurate identification, particularly in the context of the potential westward expansion of D. sibiricus. Here, we present the first comprehensive morphometric analysis of male genitalia aimed at distinguishing these two major forest pests and their hybrids. The study was based on D. sibiricus and D. pini specimens collected during the last 130 years (1894–2024) across Europe and Asia, including their hybrids reared indoors by crossing D. pini females with D. sibiricus males in 1956 and preserved in the collection of the Zoological Institute of the Russian Academy of Sciences (St. Petersburg, Russia). Overall, 70 permanent genitalia slides were prepared (33 D. sibiricus, 33 D. pini, and 4 hybrids), and the following genital structures were measured: valva and harpe length, aedeagus width and length, and cornuti length. Dendrolimus sibiricus had significantly larger genital structures compared to D. pini: 74% longer harpe, 32% longer valva, and a 28% wider and longer aedeagus. In contrast, in D. sibiricus cornuti were 21% shorter than in D. pini. Hybrids displayed intermediate values for valva, harpe, and aedeagus lengths, and for these parameters, they significantly differed from both parental species. The following diagnostic indices were suggested to distinguish between the two species and their hybrids: Harpe Length/Valva Length Index (HL/VL) and Cornuti Length/Aedeagus Length Index (CL/AL). Decision-tree analysis identified HL/VL as the strongest predictor for separating the parental species and the Combined Genital Proportion Index (CGPI), which integrates harpe, valva, aedeagus, and cornuti lengths, as the strongest predictor for identifying hybrids. The morphometric criteria developed here have practical applications for monitoring programs and quarantine diagnostics, particularly in sympatric zones and regions at risk of D. sibiricus expansion. Full article

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) caused a global public health emergency in humans from 2020 to 2023 and was associated with over 7 million human deaths. Besides humans, SARS-CoV-2 has been detected in a wide range of animals, including companion, farm, zoo, and wild animals. At least 61 animal species from 29 animal families of 12 animal orders have tested SARS-CoV-2 positive. Documented evidence reported that not only human-to-animal transmission but also animal-to-human transmission events occurred. During the course of the pandemic progression in humans, SARS-CoV-2 strains in animals evolved in parallel with those in humans. Continued monitoring of SARS-CoV-2 in animals is needed to safeguard both human and animal health. In this study, we report investigation of two outbreaks of SARS-CoV-2 Omicron variant infection in tigers and gorillas in two zoological institutions. In the first zoo, six tigers tested positive by SARS-CoV-2 real-time RT-PCR and shed viral nucleic acid in feces for up to two weeks. Three of the tigers showed intermittent shedding patterns, while the other tigers shed only for 7–10 days. No other species, including cheetah, otter, lion, anteater, gibbon, and tamarin, tested positive. During the outbreak at the second zoo, a total of six gorillas were tested positive for SARS-CoV-2, while other primates housed in the same building (colobus and orangutan) tested negative. Follow-up testing revealed that two gorillas tested positive for SARS-CoV-2 over a one-month period (30 and 33 days, respectively), while the other four gorillas had positive SARS-CoV-2 PCR results for 14 to 25 days. Four gorillas had intermittent shedding patterns. Notably, compared to tigers, gorillas had a prolonged duration of fecal viral shedding. Sequencing was performed on the positive samples, and analysis indicated that strains detected in tigers and gorillas belonged to SARS-CoV-2 Omicron BQ.1.10 and XBB.1.16, respectively. Overall, this study offers valuable insights into the duration of viral RNA shedding for SARS-CoV-2 Omicron in zoo animals, facilitating accurate diagnostic evaluation and management of infected tigers and gorillas. Full article

Captive bird populations in zoological institutions face unique disease risks due to close interspecies contact and human interaction. Vaccination is widely used as a prophylactic measure. However, most available vaccines are developed for poultry and are used off-label in non-domesticated birds, often without species-specific safety and efficacy data. This review provides a comprehensive overview of vaccines reported in zoo-housed birds for major viral, bacterial, and fungal pathogens. This review highlights that for most vaccines, evidence of safety and effectiveness is limited. Vaccine use should therefore be guided by risk assessment, relevant legislation, and institutional priorities, and should integrate species-specific data on vaccine safety and effectiveness, disease susceptibility, and local epidemiology. Extensive research and species-specific validation are essential to improve preventive health strategies in avian conservation programs. Full article

This study evaluates activity patterns and determines optimal observation periods for assessing the welfare of lowland tapirs (Tapirus terrestris L.) housed in the following two Danish zoological institutions: Aalborg Zoo and Randers Regnskov. The objectives were to identify the most efficient time window for welfare assessments, determine whether machine learning (ML) could support behavioral evaluations by providing automated estimates of activity, and examine whether automated pose-based tracking could serve as a proxy for manual ethogram observations. Behavioral data were collected using standardized ethograms from wildlife camera footage recorded over 72 h. Lowland tapirs were generally more active during daytime, with individuals at Aalborg Zoo showing peak activity between 07:00 and 14:00, while those at Randers Regnskov were most active between 12:00 and 18:00. Activity patterns differed between institutions, with Aalborg individuals displaying concentrated activity peaks and Randers individuals showing more evenly distributed activity. A preliminary ML analysis using the pose-estimation tool SLEAP demonstrated that movement-based activity estimates closely matched manually coded data, suggesting that automated tracking may offer an efficient and non-invasive tool for welfare monitoring. The findings highlight the potential for integrating automated analysis into routine welfare assessments of zoo-housed animals. Full article

The pygmy hippopotamus (Choeropsis liberiensis, Morton, 1849) is classified as Endangered by the International Union for the Conservation of Nature (IUCN). Compared to other large, threatened mammals, this species remains relatively understudied and new findings indicate potential welfare concerns, emphasizing the need for further research on the species welfare in zoological institutions. One approach to improving welfare in captivity is through environmental enrichment. This study investigated the effects of olfactory enrichment on three individual pygmy hippopotamuses through behavioral analysis and heat-map visualization. Using continuous focal sampling, several behaviors were influenced by the stimuli, with results showing a general decrease in inactivity and an increase in environmental engagement and interaction, particularly through scenting behavior. To further enhance behavioral quantification, machine learning techniques were applied to video data, comparing manual and automated behavior classification using the pose estimation program SLEAP. Four behaviors Standing, Locomotion, Feeding/Foraging, and Lying Down were compared. A confusion matrix, time budgets, and Kendall’s Coefficient of Concordance (W) were used to assess agreement between methods. The results showed a strong and moderate agreement between manual and automated annotations, for the female and calf, respectively. This demonstrates the potential of automation to complement behavioral observations in future welfare monitoring. Full article

Type 2 diabetes mellitus (T2D) is a well-studied condition characterized by increased insulin resistance, β-cell dysfunction and amyloid deposition in the pancreatic islets. The condition is best understood in humans and veterinary species such as the domestic cat but is poorly described in zoo animals. A 16-year-old male binturong (Arctictis binturong) at Mandai Wildlife Reserve presenting initially for a left forelimb tremor was noted to have hyperglycemia (23.86 mmol/L; RI 2.93–18.94), with concurrent glucosuria, which persisted over 2 weeks. The animal was diagnosed with diabetes mellitus based on serial biochemical and urinalysis results and ultrasonography. No pharmaceutical treatment was instituted. Over 4 years the animal developed other age-related changes and was euthanized based on a declining quality of life. Postmortem investigation including histological examination found diffuse islet amyloidosis of the pancreas, consistent with T2D as seen in other species. To the authors’ knowledge, this is the first published case report of type 2 diabetes mellitus and pancreatic amyloidosis reported in the binturong. The popularity of the species in zoological institutions and long-term implications of the disease warrant further attention. Further research may be directed toward establishing diagnostic values in binturongs, as well as options for medical management. Full article

The Iberian ribbed newt (Pleurodeles waltl) is a salamander in the Salamandridae family. Endemic to the Iberian Peninsula and North Africa, it is not commonly found in zoological institutions or wildlife rescue centers. As in other species, routine blood analysis of amphibians under human care is highly recommended, forming an essential component of preventive medicine and effective clinical management. However, despite the great utility of hematological parameters for the diagnosis and prevention of diseases in amphibians, the lack of reliable reference values for many species severely limits their clinical use. The aim of this study is to establish preliminary reference values (RV) for the main hematological parameters in the Iberian ribbed newt. Blood samples were taken from healthy adult individuals (n = 30), females (n = 9) and males (n = 21) maintained under controlled conditions in two zoological institutions. A complete hematological analysis was conducted, which included measurements of hematocrit, total erythrocyte and leukocyte counts, as well as a leukocyte differential. The reference intervals were established according to the guidelines provided by the American Society for Veterinary Clinical Pathology (ASVCP) for sample sizes between 20 and 40 individuals. No significant sex-related differences were detected in the hematological parameters analyzed. Despite the broad reference ranges obtained, these preliminary data provide an essential foundation for the clinical assessment and preventive medical management of P. waltl under human care. Expanding the dataset through collaboration with additional institutions will further refine and improve the accuracy and clinical utility of these reference values. Full article

Since its discovery in 2019, SARS-CoV-2 has continued to be detected in both humans and animals worldwide. Currently there is limited research focusing on serological surveillance of wildlife under human care. Here we tested 230 serum samples of 134 animals from two zoological institutions collected between 2015 and 2024. To assess prior exposure and antibody responses from natural infection or vaccination, we used three serological assays: a nucleocapsid protein-based ELISA (N-ELISA), a surrogate virus neutralization test (sVNT) for spike (S) protein and a neutralization assay with S-pseudotyped viral particles. Among the 114 samples collected from 58 animals at Fort Wayne Zoo in Indiana, 37 samples from 20 vaccinated animals were sVNT-positive, and 2 of the positive animals had 2 samples prior to vaccination that tested positive by N-ELISA. Of the 116 samples from 76 animals at Brookfield Zoo in Illinois, 20 samples of 20 animals were sVNT-positive, and 19 of the positive animals had been vaccinated. Among these 20 sVNT-positive samples, only one sample from a South American Tapir was positive from prior to vaccination and 1 sample from a sloth bear was also positive by N-ELISA, marking the first documented cases of SARS-CoV-2 exposure in both species. Neutralization assays with S-pseudotyped virus revealed that some of the sVNT-positive samples have strong activity against the WH1-S pseudovirus but showed significantly reduced neutralization against the Omicron LP.8.1-S pseudovirus. These results underscore the need for updated vaccines tailored to emerging variants. Overall, our findings highlight the importance of continued serological surveillance across multiple species to detect new SARS-CoV-2 exposures and monitor vaccine-induced immunity in captive animal populations. Full article

Captive Asian elephants (Elephas maximus) frequently present to hospitals with complex, multisystemic diseases, yet veterinarians lack objective tools to predict and classify clinical outcomes. Decision-making often relies on experience or anecdote, and few studies have applied data-driven approaches in wildlife medicine. This study developed a machine learning–based classification model using routinely collected clinical data. A total of 467 medical records from hospitalized elephants at Thailand’s National Elephant Institute (2019–2024) were retrospectively analyzed. Four variables (age, sex, disease group, and length of stay [LOS]) were used to train four classification algorithms: Random Forest, eXtreme Gradient Boosting, Naïve Bayes, and multinomial logistic regression. The Random Forest model achieved the highest classification performance (accuracy = 86.3%; log-loss = 0.374), with disease group, LOS, and age as key predictors. Survival analysis revealed distinct hospitalization trajectories across disease groups: acute conditions like elephant endotheliotropic herpesvirus-hemorrhagic disease and toxicosis showed rapid early declines, whereas dental and renal cases followed more prolonged courses. Our findings demonstrate the preliminary feasibility of outcome classification in elephant care and highlight the potential of clinical data science to improve in-hospital prognostication, monitoring, and treatment planning in zoological and wildlife medicine. Full article

Amphibian welfare, particularly pain assessment in anurans, remains understudied despite their ecological and biomedical significance. This study aimed to identify and validate operational pain indicators for adult anurans under professional care. A four-phase approach was used: a systematic literature review, expert validation with risk analysis, field validation in a zoological facility, and development of a preliminary pain index. From 158 publications, 16 potential indicators were identified, encompassing behavioural, clinical, and physiological signs. Expert evaluation by 28 professionals from 12 institutions refined this to seven indicators, achieving over 60% consensus: feeding behaviour changes, abnormal behaviour, impaired locomotion, oedema, reduced movement, retained skin post-moulting, and altered respiration. Field validation in 53 anurans confirmed high observability and ease of measurement, with feeding behaviour changes and oedema scoring highest for practicality (93.5% and 93.0%, respectively). These validated indicators provide a science-based foundation for routine welfare monitoring, enabling timely interventions. Their integration into husbandry protocols can enhance ethical standards, improve conservation outcomes, and increase public confidence in amphibian care, paving the way for a standardised anuran pain index. Full article

Background/Objectives: Toxoplasma gondii is a major cause of zoonotic infections in both humans and animals, resulting in significant mortality in susceptible species, such as New World primates and marsupials. Toxoplasmosis is particularly concerning in zoos and wildlife reserves, where outbreaks threaten conservation efforts for endangered species. In the absence of a commercially available vaccine against toxoplasmosis for humans and captive wild animals, current prevention strategies are limited to restricting the access of cats to enclosures, controlling rodent populations, and maintaining strict food hygiene. Recent research has shown promising results with an intranasal vaccine (VXN-Toxo) composed of maltodextrin nanoparticles conjugated with a purified, inactivated T. gondii parasite. This experimental vaccine does not pose a risk of causing disease and offers advantages such as better stability compared with live pathogen-based vaccines. Methods: This study presents a large-scale evaluation of the effect of VXN-Toxo administered to captive wildlife across 20 zoos in Europe and the Americas between 2017 and 2025. Seven hundred and eighty-four animals, representing over 58 species (including primates, marsupials, rodents, and felids), were vaccinated without any adverse events reported. Results: Retrospective mortality data from 20 participating zoological institutions revealed an overall 96.7% reduction—and, in many cases, a complete elimination—of toxoplasmosis-associated deaths post vaccination. Conclusions: These results demonstrate, for the first time, consistent and broad-spectrum protection against T. gondii of different strains in a wide array of captive wildlife species. This universal vaccine represents a promising tool for toxoplasmosis prevention in zoological collections, with significant implications for animal health and conservation strategies. Full article

This contributed paper presents results from efforts by the Association of Zoos and Aquariums (AZA) to investigate the impact of integrating conservation into AZA members’ organizational cultures. Part of this work included AZA setting goals related to organizational and professional culture, strategic communication, developing communities of practice, and promoting tools and resource-sharing. Prior to implementing the majority of these steps, a baseline assessment was administered to directors plus a random sample of AZA organizations in 2020—assessing how well conservation is integrated into the institutional culture and measures of perceived conservation impact. The same sample of organizations was re-surveyed in 2023 with the intent of a three-year cycle of surveying to monitor change and identify additional ways that AZA could support and strengthen a culture of conservation within the profession. These findings will help the zoological and broader conservation community assess opportunities to integrate conservation into organizational cultures across a broad association for the purpose of achieving the mission and impact. Full article