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Present and future distribution of bat hosts of sarbecoviruses: implications for conservation and public health

Authors: Muylaert, Renata Lara; Kingston, Tigga; Luo, Jinhong; Vancine, Maurício Humberto; Galli, Nikolas; Carlson, Colin; John, Reju Sam; +2 Authors

Present and future distribution of bat hosts of sarbecoviruses: implications for conservation and public health

Abstract

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 modeled 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-fueled 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.

Please read the README html file.Funding provided by: Massey University Foundation*Crossref Funder Registry ID: Award Number: Funding provided by: Royal Society Te ApārangiCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100001509Award Number: RDF-MAU1701Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: BII 2021909Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: 2020595Funding provided by: Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100002322Award Number:

Data was processed in R v. 4.1.2. We spatially predicted the occurrence of all known Sarbecovirus hosts regardless of the first viral detection location using Ecological Niche Models (ENMs) and approximating them to species distribution models (SDMs) while also assessing sampling bias. All records for bat hosts are from 1970 onwards.

Keywords

ecological niche models, SARS-like coronavirus, Forecasting, diversity

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Italian National Biodiversity Future Center