Cryptic behavior and unpalatability are common defensive strategies that occur in different taxonomic groups, but the effectiveness of these defensive strategies is context dependent, varying with predator type and co-occurring species. We tested this assumption by measuring the mortality rates of Eupemphix nattereri (cryptic behavior) and Rhinella schneideri (unpalatable) tadpoles in association with the predatory fish Oreochromis niloticus (vertebrate) and the dragonfly larvae of Aeshna sp. (invertebrate). We designed a second experiment to evaluate whether fish predators are capable of learning to avoid unpalatable prey once they have encountered it. Our results showed that fish preyed selectively on palatable tadpoles, avoiding unpalatable tadpoles and that the odonate larvae were more efficient in preying on the more active unpalatable tadpoles and less efficient in capturing those tadpoles that presented cryptic behaviors. Additionally, our data suggest that the antipredator traits of tadpoles can interact with each other, with cryptic tadpoles showing lesser mortality when co-occurring with unpalatable tadpoles and odonate predators. Unpalatable tadpoles also increase the mortality of cryptic tadpoles in the presence of experienced fish predators. These prey traits interact in modifying the prey preference of the predator, which constitutes a preyinduced trait-mediated interaction (TMI). This type of TMI is dependent on the system complexity (number of predator and prey species interactions) and could define food web properties, such as the role of predators and the number of competitor species in the system.
The aim of this article is to understand the relationship between two of the Sustainable Development Goals (UN Agenda 2030) – Good health and well-being (SDG 3) and Clean water and sanitation (SDG 6) – and the statistics of the COVID-19 pandemic (number of cases and deaths) in Brazilian cities. To analyze this relationship, we used secondary data from public organizations on the SDG panorama by city and conducted a moderated regression analysis. The sample was composed of 649 cities with a population exceeding 50 thousand inhabitants. The results show that the higher were the indicators used to measure SDGs, the lower was the number of cases and deaths from the disease. We have also proved that cities’ population density and their distance from the pandemic epicenter moderate this relationship, since a higher level of these moderation variables increases the impact of a lower level of SDGs 3 and 6 coverage in society on the number of cases and deaths from COVID-19. Thus, the efficient and effective investment to reach SDGs 3 and 6 is directly associated with cities’ ability to successfully deal with infectious diseases and the resulting number of deaths. As for its contribution, this research innovates by establishing a model for analyzing the impact of compliance with SDGs on cities’ performance in their fight against COVID-19, which may also suit other nations.
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