Abstract
Simple SummaryClimate variability has influence on plague outbreaks worldwide. Usually, plague cases increase with increasing precipitation. Currently there are many studies on the epidemics of plague in human beings, whereas there are few studies on the dynamic of plague in animal. Nevertheless, animal plague is key in the natural epidemiological cycle of plague. We identified spatiotemporal changes of the plague territories in the Tibetan Plateau only using animal plague records. Our risky plague maps are far superior to the county-based maps used currently and have valuable applications for directly informing conservation and management decisions locally and regionally.Plague persists in the plague natural foci today. Although previous studies have found climate drives plague dynamics, quantitative analysis on animal plague risk under climate change remains understudied. Here, we analyzed plague dynamics in the Tibetan Plateau (TP) which is a climate-sensitive area and one of the most severe animal plague areas in China to disentangle variations in marmot plague enzootic foci, diffusion patterns, and their possible links with climate and anthropogenic factors. Specifically, we developed a time-sharing ecological niche modelling framework to identify finer potential plague territories and their temporal epidemic trends. Models were conducted by assembling animal records and multi-source ecophysiological variables with actual ecological effects (both climatic predictors and landscape factors) and driven by matching plague strains to periods corresponding to meteorological datasets. The models identified abundant animal plague territories over the TP and suggested the spatial patterns varied spatiotemporal dimension across the years, undergoing repeated spreading and contractions. Plague risk increased in the 1980s and 2000s, with the risk area increasing by 17.7 and 55.5 thousand km2, respectively. The 1990s and 2010s were decades of decreased risk, with reductions of 71.9 and 39.5 thousand km2, respectively. Further factor analysis showed that intrinsic conditions (i.e., elevation, soil, and geochemical landscape) provided fundamental niches. In contrast, climatic conditions, especially precipitation, led to niche differentiation and resulted in varied spatial patterns. Additionally, while increased human interference may temporarily reduce plague risks, there is a strong possibility of recurrence. This study reshaped the plague distribution at multiple time scales in the TP and revealed multifactorial synergistic effects on the spreading and contraction of plague foci, confirming that TP plague is increasingly sensitive to climate change. These findings may facilitate groups to take measures to combat the plague threats and prevent potential future human plague from occurring.
Highlights
In history, plague pandemics have had devastating effects on politics, economics, and demographics [1]
Since the mid-1950s, there has been a significant warming trend in the Tibetan Plateau (TP) [6], which has made the ecological environment of local foci unstable and has resulted in changeable and complex plague dynamics [7]
96.8% of plague cases were caused by Himalayan marmot
Summary
Plague pandemics have had devastating effects on politics, economics, and demographics [1]. Changes in climate and land use affect land surface vegetation and landscape patterns of the foci, resulting in the dispersal, migration, and adaptation of the species (hosts and vectors) and impacting the risk dynamics of plague transmission [5]. 96.8% of plague cases were caused by Himalayan marmot (main plague hosts in the TP) In this marmot plague foci, animal plague pandemics continuously and human plague outbreaks occur frequently [9]. At least 24 species of mammals and 13 species of fleas have been identified as infected by Y. pestis in the foci, meaning that the risk of contact with any species of infected animal can be substantial [8]. It is essential to identify the truly threatened plague territories to implement a more effective focus control
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