Whales, dolphins or fishes? The ethnotaxonomy of cetaceans in São Sebastião, Brazil

The local knowledge of human populations about the natural world has been addressed through ethnobiological studies, especially concerning resources uses and their management. Several criteria, such as morphology, ecology, behavior, utility and salience, have been used by local communities to classify plants and animals. Studies regarding fishers' knowledge on cetaceans in the world, especially in Brazil, began in the last decade. Our objective is to investigate the folk classification by fishers concerning cetaceans, and the contribution of fishers' local knowledge to the conservation of that group. In particular, we aim to record fishers' knowledge in relation to cetaceans, with emphasis on folk taxonomy. The studied area is São Sebastião, located in the southeastern coast of Brazil, where 70 fishers from 14 communities were selected according to their fishing experience and interviewed through questionnaires about classification, nomenclature and ecological aspects of local cetaceans' species. Our results indicated that most fishers classified cetaceans as belonging to the life-form 'fish'. Fishers' citations for the nomenclature of the 11 biological species (10 biological genera), resulted in 14 folk species (3 generic names). Fishers' taxonomy was influenced mostly by the phenotypic and cultural salience of the studied cetaceans. Cultural transmission, vertical and horizontal, was intimately linked to fishers' classification process. The most salient species, therefore well recognized and named, were those most often caught by gillnets, in addition to the biggest ones and those most exposed by media, through TV programs, which were watched and mentioned by fishers. Our results showed that fishers' ecological knowledge could be a valuable contribution to cetaceans' conservation, helping to determine areas and periods for their protection, indicating priority topics for research and participating in alternative management related to the gillnet fisheries

Severe traumatic injury during long duration spaceflight: Light years beyond ATLS

Traumatic injury strikes unexpectedly among the healthiest members of the human population, and has been an inevitable companion of exploration throughout history. In space flight beyond the Earth's orbit, NASA considers trauma to be the highest level of concern regarding the probable incidence versus impact on mission and health. Because of limited resources, medical care will have to focus on the conditions most likely to occur, as well as those with the most significant impact on the crew and mission. Although the relative risk of disabling injuries is significantly higher than traumatic deaths on earth, either issue would have catastrophic implications during space flight. As a result this review focuses on serious life-threatening injuries during space flight as determined by a NASA consensus conference attended by experts in all aspects of injury and space flight

Simulation of the December 2021 Marshall fire with a hybrid stochastic Lagrangian-cellular automata model

A stochastic model based on a combination of the cellular automata approach for forest fires and a random walk for firebrands and hot gases has been further developed and used to simulate the Marshall fire, Colorado, December 2021. Typical heat release profiles for burning wooden houses from the literature were used to distil information on the burning duration and ignition delay time needed to model the hours-long firebrand emission from wooden buildings in the Marshall area during this fire. In addition to information on vegetation and housing structures from in-person inspection, satellite images were used to estimate various model parameters. The results give reasonable predictions for the extent of the fire and its time evolution. A parametric analysis further highlighted the sensitivity of predictions to the parameters used in the model and suggested areas for improvement. The very low computational cost of the model, ease of operation, and acceptable accuracy suggest that the proposed framework can be used for operational decision-making and damage assessment

Simulation of the December 2021 Marshall fire with a hybrid stochastic Lagrangian–cellular automata model

A stochastic model based on a combination of the cellular automata approach for forest fires and a random walk for firebrands and hot gases has been further developed and used to simulate the Marshall fire, Colorado, December 2021. Typical heat release profiles for burning wooden houses from the literature were used to distill information on the burning duration and ignition delay time needed to model the hours-long firebrand emission from wooden buildings in the Marshall area during this fire. In addition to information on vegetation and housing structures from in-person inspection, satellite images were used to estimate various model parameters. The results give reasonable predictions for the extent of the fire and its time evolution. A parametric analysis further highlighted the sensitivity of predictions to the parameters used in the model and suggested areas for improvement. The very low computational cost of the model, ease of operation, and acceptable accuracy suggest that the proposed framework can be used for operational decision-making and damage assessment