干旱区生态环境知识资源中心

AimThe spatial structure of a population can strongly influence the dynamics of infectious diseases, yet rarely is the underlying structure quantified. A case in point is plague, an infectious zoonotic disease caused by the bacterium Yersinia pestis. Plague dynamics within the Central Asian desert plague focus have been extensively modelled in recent years, but always with strong uniformity assumptions about the distribution of its primary reservoir host, the great gerbil (Rhombomys opimus). Yet, while clustering of this species’ burrows due to social or ecological processes could have potentially significant effects on model outcomes, there is currently nothing known about the spatial distribution of inhabited burrows. Here, we address this knowledge gap by describing key aspects of the spatial patterns of great gerbil burrows in Kazakhstan.

LocationKazakhstan.

MethodsBurrows were classified as either occupied or empty in 98 squares of four different sizes: 200m (side length), 250m, 500m and 590-1020m. We used Ripley’s K statistic to determine whether and at what scale there was clustering of occupied burrows, and semi-variograms to quantify spatial patterns in occupied burrows at scales of 250m to 9km.

ResultsSignificant spatial clustering of occupied burrows occurred in 25% and 75% of squares of 500m and 590-1020m, respectively, but not in smaller squares. In clustered squares, the clustering criterion peaked around 250m. Semi-variograms showed that burrow density was auto-correlated up to a distance of 7km and occupied density up to 2.5km.

Main conclusionsThese results demonstrate that there is statistically significant spatial clustering of occupied burrows and that the uniformity assumptions of previous plague models should be reconsidered to assess its significance for plague transmission. This field evidence will allow for more realistic approaches to disease ecology models for both this system and for other structured host populations.