BackgroundThe attitudes and perceptions of people toward animals are influenced by sociodemographic factors, such as formal education and gender, and by personal experience. Understanding these interactions is critical for the establishment of conservation strategies for animals that have conflictual relationships with humans, such as snakes. Our study aims to explain how perceptions and the human fear of snakes vary and are influenced by formal education and gender. In addition, it aims to show how prior interaction with these animals influence these perceptions and the human fear toward snakes and how these perceptions and fear influence the importance of conservation of these animals.MethodsWe collected data from June 2010 to December 2013 using questionnaires given to 1142 visitors of a scientific serpentarium (Núcleo Regional de Ofiologia da Universidade Federal do Ceará) in the municipality of Fortaleza, northeastern Brazil.Results and DiscussionNegative perceptions toward snakes were less frequent according to an increase in levels of schooling. Women had more negative perceptions and were more afraid of snakes than were men. Prior interaction with snakes decreased the occurrence of negative perceptions and reduced the level of human fear of these animals. People with negative perceptions classified the conservation of snakes as not important and were more afraid of these animals. Understanding the relationship between sociodemographic factors, prior experiences, perceptions, fear, and the importance given to conservation can help to better understand human attitudes toward snakes.ConclusionsEnvironmental education activities considering gender differences, involving preliminary interaction with snakes and focusing on priority targets identified in our study, such as people with low formal education, can increase the efficiency of measures for the conservation of these animals.Electronic supplementary materialThe online version of this article (doi:10.1186/s13002-016-0096-9) contains supplementary material, which is available to authorized users.

The pandemic state of COVID-19 caused by the SARS CoV-2 put the world in quarantine and is causing an unprecedented economic crisis. However, COVID-19 is spreading in different rates at different countries. Here, we tested the effect of three classes of predictors, i.e., socioeconomic, climatic and transport, on the rate of daily increase of COVID-19. We found that global connections, represented by countries' importance in the global air transportation network, is the main explanation for the growth rate of COVID-19 in different countries. Climate, geographic distance and socioeconomics did not affect this big picture analysis. Geographic distance and climate were significant barriers in the past but were surpassed by the human engine that allowed us to colonize almost every corner on Earth. Based on our global analysis, the global network of air transportation could lead to a worst-case scenario of synchronous global pandemic if board control measures in international airports were not taken and are not sustained during this pandemic. Despite all limitations of a global analysis, our results indicate that the current claims that the growth rate of COVID-19 may be lower in tropical countries should be taken very carefully, at risk to disturb well-established and effective policy of social isolation that may help to avoid higher mortality rates due to collapse of national health systems. This is the case of Brazil, a well-connected tropical country that presents the second highest increase rate of COVID-19 and might experience a serious case of human-induced disasters if decision makers take into consideration unsupported claims of the growth rate of COVID-19 might be lower in tropical countries. significant effect in this model (p = 0.054), with a positive coefficient (i.e. drier countries have lower growth rates), although effect size is at least two times lower than the effect of countries importance in global transportation (Table 1). Statistical coefficients were not upward biased by spatial autocorrelation.

The pandemic state of COVID-19 caused by the SARS CoV-2 put the world in quarantine, led to hundreds of thousands of deaths and is causing an unprecedented economic crisis. However, COVID-19 is spreading in different rates at different countries. Here, we tested the effect of three classes of predictors, i.e., socioeconomic, climatic and transport, on the rate of daily increase of COVID-19 on its exponential phase. We found that population size and global connections, represented by countries’ importance in the global air transportation network, are the main explanations for the early growth rate of COVID-19 in different countries. Climate and socioeconomics had no significant effect in this big picture analysis. Our results indicate that the current claims that the growth rate of COVID-19 may be lower in warmer and humid countries should be taken very carefully, risking to disturb well-established and effective policy of social isolation that may help to avoid higher mortality rates due to the collapse of national health systems.

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Despite the widespread use of ecological niche models (ENMs) for predicting the responses of species to climate change, these models do not explicitly incorporate any population‐level mechanism. On the other hand, mechanistic models adding population processes (e.g. biotic interactions, dispersal and adaptive potential to abiotic conditions) are much more complex and difficult to parameterize, especially if the goal is to predict range shifts for many species simultaneously. In particular, the adaptive potential (based on genetic adaptations, phenotypic plasticity and behavioral adjustments for physiological responses) of local populations has been a less studied mechanism affecting species’ responses to climatic change so far. Here, we discuss and apply an alternative macroecological framework to evaluate the potential role of evolutionary rescue under climate change based on ENMs. We begin by reviewing eco‐evolutionary models that evaluate the maximum sustainable evolutionary rate under a scenario of environmental change, showing how they can be used to understand the impact of temperature change on a Neotropical anuran species, the Schneider's toad Rhinella diptycha. Then we show how to evaluate spatial patterns of species’ geographic range shift using such models, by estimating evolutionary rates at the trailing edge of species distribution estimated by ENMs and by recalculating the relative amount of total range loss under climate change. We show how different models can reduce the expected range loss predicted for the studied species by potential ecophysiological adaptations in some regions of the trailing edge predicted by ENMs. For general applications, we believe that parameters for large numbers of species and populations can be obtained from macroecological generalizations (e.g. allometric equations and ecogeographical rules), so our framework coupling ENMs with eco‐evolutionary models can be applied to achieve a more accurate picture of potential impacts from climate change and other threats to biodiversity.

Ecological, historical, and evolutionary hypotheses are important to explain geographical diversity gradients in many clades, but few studies have combined them into a single analysis allowing a comparison of their relative importance. This study aimed to evaluate the relative importance of ecological, historical, and evolutionary hypotheses in explaining the current global distribution of non-marine turtles, a group whose distribution patterns are still poorly explored. We used data from distribution range maps of 336 species of non-marine turtles, environmental layers, and phylogeny to obtain richness estimates of these animals in 2°  2° cells and predictors related to ecological, evolutionary and historical hypotheses driving richness patterns. Then we used a path analysis to evaluate direct and indirect effects of the predictors on turtle richness. Ancestral area reconstruction was also performed in order to evaluate the influence of time-for-speciation in the current diversity of the group. We found that environmental variables had the highest direct effects on non-marine turtle richness, whereas diversification rates and area available in the last 55 million yr minimally influenced turtle distributions. We found evidence for the time-for-speciation effect, since regions colonized early were generally richer than recently colonized regions. In addition, regions with a high number of colonization events had a higher number of turtle species. Our results suggested that ecological processes may influence non-marine turtle richness independent of diversification rates, but they are probably related to dispersal abilities. However, colonization time was also an important component that must be taken into account. Finally, our study provided additional support for the importance of ecological (climate and productivity) and historical (time-for-speciation and dispersal) processes in shaping current biodiversity patterns.

Aims Geographical gradients in body size have been extensively studied in endotherms, and general rules exist to describe body size variation in these animals. However, the existence of broad‐scale patterns in body size variation in ectotherms remains largely debated. Turtles (tortoises and freshwater turtles) are ectothermic organisms whose geographical variation in body size has not been examined widely. Here, we test a suite of hypotheses, proposed to explain body size patterns in other animals, for this group of reptiles. Location Global. Time period Current. Major taxa studied Turtles. Methods We gathered distribution, phylogenetic and body size data for 235 species of turtles, which were distributed in a global equal area grid of 200 km × 200 km. We also obtained predictor variables [mean annual temperature, actual evapotranspiration, temperature variation since the Last Glacial Maximum (LGM) and human footprint] directly associated with the main hypotheses tested in body size studies. Our analyses followed a cross‐species and an assemblage‐based approach and were performed for all turtles and for terrestrial and aquatic species separately. Results Mean annual temperature was the main correlate of body size for the whole group and for terrestrial turtles in both approaches, having a positive correlation with this trait. Body sizes of aquatic turtles were not influenced by any of the tested variables. In the cross‐species approach we also found that temperature variation since the LGM was an important positive correlate of body size in terrestrial turtles. Main conclusions Our study reinforces the importance of environmental temperatures in explaining animal body size patterns. The heat balance hypothesis was not rejected by our data, whereas migration, productivity and human disturbance hypotheses were rejected. Finally, body size of terrestrial and aquatic turtles had different patterns, also suggesting that habitat is an important factor in understanding geographical variation in body size.

Little is known about how biogeographic processes affect the dynamics of species interactions in space and time, although it is widely accepted that they drive community assemblage. In functional interactions, such as pollination and seed dispersal, species that share common ancestry tend to retain a common number of interactions and interact with similar sets of species, a pattern more commonly observed for animals than plants. On the one hand, the most coherent explanation for the phylogenetic structure of pollination and seed dispersal networks is that species retain ecological traits over evolution, which would cause the conservation of interaction partners. On the other hand, fundamental processes of biodiversity, such as dispersal and evolutionary rates seem to have important roles shaping the observed phylogenetic structure of mutualistic networks, but no model has been created to study the effect of these processes in the phylogenetic structure of mutualistic interactions. Here, we developed a stochastic simulation model to study the evolution of two interacting groups of species, which evolve independently over the same geographical domain. In our model, individuals of the same interaction group share ecological traits, whereas individuals of different trophic groups are ecologically distinct. We show that even in the absence of ecological differences between individuals, and disregarding any conservation of phenotypical and phenological traits between species, the interplay of dispersal and speciation is still a major driver of complex phylogenetic structure of functional interactions, such as pollination and seed dispersal.