Birds Drinking Alcohol: Species and Relationship with People. A Review of Information from Scientific Literature and Social Media

Drunken snakes and sober owls: ancient authors on the relationship between animals and wine

AIMS

In the article, ancient concepts linking animals and wine are discussed. This paper provides a description of animals that in antiquity were considered to be especially fond of grapes and wine, as well as animals that were, for various reasons, given wine to drink by humans, and animals that in ancient literature had an averse association with wine. In the paper, the author attempts to answer the following questions, what was the conceptual framework for the tales about drunk animals? In what circumstances were observations of animals becoming inebriated conducted? Which animal species were considered as most susceptible to the effects of wine? Last, was wine believed to affect animals and humans in a similar way?

METHODS

Ancient literature provides a set of extant information about animals that willingly become inebriated with grapes or are given wine by humans, which deserves a separate analysis. The ancient authors commonly interspersed narration with information about the animals and invoked personal experiences of contact with the described animal and information obtained from those who had the opportunity to conduct 'zoological' observations or even medical experiments.

RESULTS

There is a large group of animals that appear in ancient accounts consuming alcohol in the form of fermented fruit and wine. The ancients held the mostly incorrect belief that snakes had an enormous predilection for wine; moreover, contemporary research confirms that, as the ancients rightly observed, insects and birds do display a fondness for fermented fruit and wine. It was correctly observed that an excess of wine induced extreme states, such as sleepiness and aggression in animals, in a manner similar to humans.

CONCLUSIONS

Accounts in ancient literature show a close association between animals and wine existed among the Greeks and Romans.

Open-source intelligence for conservation biology

Open-source intelligence (OSINT) evolved in spy agencies but now is rapidly changing many fields of study, from anthropology to zoology. Despite the fact that OSINT occasionally is used in conservation biology, there is little recognition that some tools and frameworks used by conservation professionals are drawn from this well-established field. In conservation biology, OSINT is sometimes used to evaluate wildlife crime, human-wildlife and human-environment interactions, animal behavior, and questions of distribution and abundance. Recognizing the conceptual foundations of the field would allow expansion of conservation biology, not only in the areas noted above, but also, for example, in study of habitat use, habitat change, and animal behavior. This recognition would also provide frameworks for conceptual advancement, especially in terms of data and privacy management. Failure to recognize the underpinnings of OSINT tools in conservation biology harms the field because it limits how research is framed, thought about, and implemented. Likewise, taking an OSINT perspective to conservation problems, rather than simply thinking in terms of big data, can enrich the field, expand science, and increase knowledge and understanding of biology and biodiversity.

Identifying Habitat Elements from Bird Images Using Deep Convolutional Neural Networks

With the rapid development of digital technology, bird images have become an important part of ornithology research data. However, due to the rapid growth of bird image data, it has become a major challenge to effectively process such a large amount of data. In recent years, deep convolutional neural networks (DCNNs) have shown great potential and effectiveness in a variety of tasks regarding the automatic processing of bird images. However, no research has been conducted on the recognition of habitat elements in bird images, which is of great help when extracting habitat information from bird images. Here, we demonstrate the recognition of habitat elements using four DCNN models trained end-to-end directly based on images. To carry out this research, an image database called Habitat Elements of Bird Images (HEOBs-10) and composed of 10 categories of habitat elements was built, making future benchmarks and evaluations possible. Experiments showed that good results can be obtained by all the tested models. ResNet-152-based models yielded the best test accuracy rate (95.52%); the AlexNet-based model yielded the lowest test accuracy rate (89.48%). We conclude that DCNNs could be efficient and useful for automatically identifying habitat elements from bird images, and we believe that the practical application of this technology will be helpful for studying the relationships between birds and habitat elements.

Online media reveals a global problem of discarded containers as deadly traps for animals

The widespread occurrence of litter is a severe threat to global ecosystems. We have analyzed online media, to assess the diversity of animals that are prone to getting trapped in discarded containers and check which kind of containers is the most common trap for animals. A total of 503 records from around the world (51 countries, 6 continents) have been found. These include invertebrates (17 taxa, ca.1050 dead individuals), and vertebrates (98 taxa, 496 individuals including 44 carcasses). The latter group was most frequently represented by mammals (78.5% of all cases), then reptiles (15.3%), birds (1.2%), fish (1.0%) and amphibians (0.4%). Nearly 12.5% of the determined vertebrates are classified as vulnerable, endangered or critically endangered, according to the IUCN. Although most trapped individuals were smaller animals, bigger ones such as monitor lizards (Varanus spp.) or large carnivores were also recorded. In most cases, animals were trapped in glass or plastic jars (32.4%), drink cans (16.5%), and steel cans (16.3%). Our results demonstrate that discarded containers can be a threat to all major groups of animals. In order to address this phenomenon, it is necessary to decrease a global production of debris, implement container deposit legislation and organize repeatable cleanup actions.