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As human activities continue to negatively affect bat populations, bat conservation efforts continue to rely on questionnaires to understand human actions toward bats; however, the use of questionnaires constrains understanding by limiting the sample size to those who choose to participate, being subject to selection bias, and overall may not be the most efficient way of understanding sentiments and behaviors toward bats. We used social media to analyze sentiment toward bat exploitation behaviors in Asia and evaluated the influence that these posts have on users in the region. We gathered and analyzed a total of 458 social media posts and 2,427 comments throughout Asia utilizing keywords and hashtags in 16 languages. We found that nearly 90% of initial posts discussing bat exploitations were discussed in an acceptive, pro-bat exploitation way. Initial posts from Southeast and South Asia showed acceptance of bat exploitation. Comments on posts from Southeast Asia, particularly the Philippines and Indonesia, were acceptive of bat exploitation for food and medicine, whereas comments on posts from South Asia were rejective of bat exploitation, in contrast, with the initial South Asian posts, which were more acceptive of persecution of bats. We recommend using social media platforms to promote messages that reject bat exploitation and encourage bat conservation efforts as our results indicate that positive messages receive mostly positive comments, reinforcing the importance of protecting bats. Moreover, we suggest future work be conducted using social media to further understand region-specific narratives for and against bat exploitation. 

Abstract Bats provide vital ecosystem services, including pest suppression and crop pollination. However, the increasing proximity of bats and humans is a growing conservation and public health concern with negative consequences for both sides. Mitigating these consequences requires integrative approaches like network science and the emerging field of social-ecological networks (SENs), which offer powerful tools to map and analyse complex social and ecological dynamics. Here, we synthesize how network approaches have been applied to bat research and conservation. Specifically, we: (i) assess the use of both ecological and social network analyses to study bats; (ii) identify network tools well-suited for SEN-based bat research; (iii) present a case study illustrating how SEN applications in bat research can inform conservation and One Health efforts; and, lastly, (iv) discuss key challenges and opportunities in using SENs to investigate the human-bat interface. Our review unveils a rise in network-based bat research from 2006 to 2020, followed by a post-pandemic decline. Nevertheless, across the 127 studies mapped by our review, only one applied an SEN lens. Finally, we suggest how applying some underexplored SEN tools to bat research could lead to novel perspectives, aiming to promote integrated strategies for the coexistence of bats and humans. 

Global biodiversity and ecosystem function are the result of complex networks of interactions and feedbacks between animals and their environments, which in turn are affected by the interactions and feedbacks between animals and the organisms they host. Understanding these complex networks, including the main drivers of and responses to ecological and environmental changes and their global implications, requires adopting a systems-based perspective. We advocate for this approach by characterizing a framework centered around bats, a globally-distributed mammalian order, and their dual roles as both inhabitants of ecosystems and as habitats themselves. Like other organisms, bats interact with habitats by providing ecosystem services that impact the survival and distribution of other species, and may be affected by such factors as land use change, climate change, fluctuations in food availability, and hunting pressure. Habitat conditions (e.g. food availability, temperature, etc.) can affect the physiological condition of individuals, which in turn can affect the prevalence and/or virulence of hosted organisms and potential pathogens (e.g. ectoparasites, bacteria, viruses, fungi, and protozoa). In addition, the interactions among individuals (e.g. co-roosting, migration, etc.) influence the habitat connectivity for their hosted organisms (e.g. opportunities for dispersal). Bats have a unique relationship with infectious disease, both biological and cultural. With this in mind, when applied to bats this framework has special importance to how we understand and apply the One Health concept, whereby healthy natural environments foster both human and animal health, which in turn also promotes healthy environments. By leveraging a hierarchical approach among these different levels of biological organization, we can arrive at a clearer picture of the specific threats facing bats—as well as the risk of pathogen spillover to humans and other domesticated and wild animals generated by disrupting this delicate balance—and identify possible measures to mitigate adverse impacts. Thus, to understand these complex interactions and their implications for conservation, ecosystem health, and human health, we need a new ecological framework that recognizes that changes in habitats not only affect macrofauna and the ecosystem services they provide, but also have the potential to cascade through the diversity and evolution of the organisms they host. This review provides a case study for the application of this framework, which is extensible to other organisms with their own unique relationships with habitats and as habitats. 

Abstract Substantial global attention is focused on how to reduce the risk of future pandemics. Reducing this risk requires investment in prevention, preparedness, and response. Although preparedness and response have received significant focus, prevention, especially the prevention of zoonotic spillover, remains largely absent from global conversations. This oversight is due in part to the lack of a clear definition of prevention and lack of guidance on how to achieve it. To address this gap, we elucidate the mechanisms linking environmental change and zoonotic spillover using spillover of viruses from bats as a case study. We identify ecological interventions that can disrupt these spillover mechanisms and propose policy frameworks for their implementation. Recognizing that pandemics originate in ecological systems, we advocate for integrating ecological approaches alongside biomedical approaches in a comprehensive and balanced pandemic prevention strategy. 

The hunting of bats for food and medicine is one of the greatest threats to bat conservation. While hunting for consumption is the focus of increased attention, the specific medicinal uses of bats are poorly documented, limiting mitigation efforts. Here, we determine the distribution of bat hunting for food and medicinal use and characterize medicinal use practices. We systematically surveyed English-language scientific literature and social media platforms utilizing keywords and hashtags in 27 languages. We found 198 papers and 1063 social media posts from 83 countries and territories. Although use for food was more common, with 1284 unique reports from 71 countries, bats were used to treat 42 ailments of 11 human body systems across 37 countries (453 reports). Asthma was the most common ailment, distantly followed by kidney conditions. Ten organs or body parts of bats were used medicinally, with bat meat (flesh) and fluids (blood, bile, and oil) the most common. Understanding the effects and drivers of specific bat hunting practices will help guide conservation and public health efforts in the communities where bats are hunted. By pinpointing the ailments bats are being used for, outreach and alternative treatments can be introduced to replace the use of bats. 

Global changes in response to human encroachment into natural habitats and carbon emissions are driving the biodiversity extinction crisis and increasing disease emergence risk. Host distributions are one critical component to identify areas at risk of viral spillover, and bats act as reservoirs of diverse viruses. We developed a reproducible ecological niche modelling pipeline for bat hosts of SARS-like viruses (subgenus Sarbecovirus ), given that several closely related viruses have been discovered and sarbecovirus–host interactions have gained attention since SARS-CoV-2 emergence. We assessed sampling biases and modelled current distributions of bats based on climate and landscape relationships and project future scenarios for host hotspots. The most important predictors of species distributions were temperature seasonality and cave availability. We identified concentrated host hotspots in Myanmar and projected range contractions for most species by 2100. Our projections indicate hotspots will shift east in Southeast Asia in locations greater than 2°C hotter in a fossil-fuelled development future. Hotspot shifts have implications for conservation and public health, as loss of population connectivity can lead to local extinctions, and remaining hotspots may concentrate near human populations. 

Many of the world’s most pressing issues, such as the emergence of zoonotic diseases, can only be addressed through interdisciplinary research. However, the findings of interdisciplinary research are susceptible to miscommunication among both professional and non-professional audiences due to differences in training, language, experience, and understanding. Such miscommunication contributes to the misunderstanding of key concepts or processes and hinders the development of effective research agendas and public policy. These misunderstandings can also provoke unnecessary fear in the public and have devastating effects for wildlife conservation. For example, inaccurate communication and subsequent misunderstanding of the potential associations between certain bats and zoonoses has led to persecution of diverse bats worldwide and even government calls to cull them. Here, we identify four types of miscommunication driven by the use of terminology regarding bats and the emergence of zoonotic diseases that we have categorized based on their root causes: (1) incorrect or overly broad use of terms; (2) terms that have unstable usage within a discipline, or different usages among disciplines; (3) terms that are used correctly but spark incorrect inferences about biological processes or significance in the audience; (4) incorrect inference drawn from the evidence presented. We illustrate each type of miscommunication with commonly misused or misinterpreted terms, providing a definition, caveats and common misconceptions, and suggest alternatives as appropriate. While we focus on terms specific to bats and disease ecology, we present a more general framework for addressing miscommunication that can be applied to other topics and disciplines to facilitate more effective research, problem-solving, and public policy.