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Background: Animal-borne sensors ('bio-loggers') can record a suite of kinematic and environmental data, which are used to elucidate animal ecophysiology and improve conservation efforts. Machine learning techniques are used for interpreting the large amounts of data recorded by bio-loggers, but there exists no common framework for comparing the different machine learning techniques in this domain. This makes it difficult to, for example, identify patterns in what works well for machine learning-based analysis of bio-logger data. It also makes it difficult to evaluate the effectiveness of novel methods developed by the machine learning community., Methods: To address this, we present the Bio-logger Ethogram Benchmark (BEBE), a collection of datasets with behavioral annotations, as well as a modeling task and evaluation metrics. BEBE is to date the largest, most taxonomically diverse, publicly available benchmark of this type, and includes 1654 h of data collected from 149 individuals across nine taxa. Using BEBE, we compare the performance of deep and classical machine learning methods for identifying animal behaviors based on bio-logger data. As an example usage of BEBE, we test an approach based on self-supervised learning. To apply this approach to animal behavior classification, we adapt a deep neural network pre-trained with 700,000 h of data collected from human wrist-worn accelerometers., Results: We find that deep neural networks out-perform the classical machine learning methods we tested across all nine datasets in BEBE. We additionally find that the approach based on self-supervised learning out-performs the alternatives we tested, especially in settings when there is a low amount of training data available., Conclusions: In light of these results, we are able to make concrete suggestions for designing studies that rely on machine learning to infer behavior from bio-logger data. Therefore, we expect that BEBE will be useful for making similar suggestions in the future, as additional hypotheses about machine learning techniques are tested. Datasets, models, and evaluation code are made publicly available at https://github.com/earthspecies/BEBE , to enable community use of BEBE., Competing Interests: Declarations. Ethics approval and consent to participate: All animal behavior datasets except the Crow dataset were reported in previous publications. Crow behavior data were collected in accordance with ASAB/ABS guidelines and Spanish regulations for animal research, and were authorized by Junta de Castilla y León (licence: EP/LE/681-2019). Competing interest: The authors declare no competing interests., (© 2024. The Author(s).)

A substantial number of changes to the composition of the herpetofauna of the Mexican state of Oaxaca, including taxonomic additions and deletions, have occurred in the five years since our original assessment of this region. These changes now establish a herpetofauna of 480 species for the state. A number of taxonomic and nomenclatural changes involving the Oaxacan herpetofauna also are discussed. Updated patterns of physiographic distribution, endemism, and conservation status of the members of the state herpetofauna are examined.

Objective: This study sought to evaluate resident demographics and resident understanding of the proper use of potassium iodide (KI) pills as a countermeasure in the event of a nuclear power plant emergency. We also described expected behaviors of community members in the event of a nuclear accident., Design: The study design utilized a cross-sectional survey with a validated written questionnaire. Subjects, Participants: The study subjects were Canadian residents living within the primary emergency planning zone of the Fermi 2 nuclear power reactor. There was a 77 percent participation rate (n = 180) in Amherst Point and 61 percent for Bois Blanc Island (commonly referred to as Bob-Lo Island) (n = 57)., Main Outcome Measure(s): The primary study outcome measures were the number of knowledge-based questions survey respondents correctly answered about proper KI use (Ksum) and various behavior-based survey questions in the context of the extended parallel process model (EPPM)., Results: Overall, we found that residents in general had a very low overall comprehension of proper KI use. We found that most resident demographics (eg, age, gender) did not significantly impact their knowledge of proper KI use but did find that households with children under 13 years of age tended to have higher comprehension scores than households without young children. Most residents reported that if they thought they were exposed to radiation they would go to the hospital or call 911 and few residents knew their evacuation routes, few were aware of the emergency siren, none knew where the reception center was located, and most did not have an emergency kit in their home. The majority of the survey respondents did indicate that they would evacuate if told to do so by their government., Conclusions: Public health outreach is crucial for KI distribution programs because of the overall low pre-existing comprehension in communities. Also, hospitals and 911 must be prepared to deal with higher volume of residents seeking help should an accident occur.

Habitat heterogeneity and local resource distribution play key roles in animal search patterns. Optimal strategies are often considered for foraging organisms, but many of the same predictions are applicable to mate searching. We quantified movement and space use by a pitviper to test whether Native Habitats (NH) and human-made Resource Hotspots (RH) facilitate alternative seasonal spatial strategies as a result of critical resources, including potential mating partners, being widely dispersed in NH and clustered in RH. Independent of habitat category, seasonal patterns resembled an intermediate mating system with elements of prolonged male mate-searching and female-defense. However, individuals using primarily NH or RH exhibited alternative strategies. NH rattlesnakes displayed greater movement and larger home ranges than RH rattlesnakes across behavioral seasons. NH males increased movement distances and home ranges during the mating season, while RH males displayed minimal or no seasonal shifts. NH females also elevated movement distances during the mating season, while RH females showed no significant seasonal differences. Despite contrasting spatial patterns, mating success and female-defense effort were not significantly affected by habitat category. This unique study system highlights the potential for interactions among sexual selection, habitat heterogeneity, and behavioral plasticity to facilitate divergent search tactics within populations.