🦂 A map to know where the most dangerous scorpions are located

In certain regions, a danger lurks for millions of people: scorpion stings. These accidents cause thousands of deaths every year, mainly among the youngest. A recent study aims to create an evolving map of the most dangerous areas.

This initiative comes from an international team that has designed a predictive computer model. This tool is capable of indicating the areas where the most venomous scorpions are likely to reside. To achieve this, the method combines field surveys with large-scale environmental information, such as soil type and climate changes. The ambition is to draw a map of the most exposed territories.


Observations indicate that soil composition is the most important factor for the presence of many species. Furthermore, thermal conditions, including averages and fluctuations over the seasons, also modulate their geographical distribution. These elements help explain why the concentration of risks is higher in certain places.

There are notable differences in how scorpions interact with their environment. Some species, which are very adaptable, can occupy large areas, while others remain confined to very restricted habitats. The latter then form localized hotspots where the probability of a sting is increased.

Today, practitioners are often faced with a difficulty in identifying the species involved after a sting, which delays the administration of the correct treatment. The developed modeling seeks to remedy this shortcoming by providing precise information on the location of the most threatening scorpions.

This hazard mapping thus offers direct applications for health services. It allows for targeting information campaigns, preparing medical teams, and focusing preventive actions towards the most vulnerable communities. Dr. Michel Dugon specifies that this approach could be used in many areas, from Brazil to India.

How does the MaxEnt ecological modeling work?

The MaxEnt method, or maximum entropy modeling, is a computer technique that predicts the geographical distribution of species. It examines the environmental parameters of places where a species is already recorded, such as climate, soil, or vegetation cover. Then, it identifies territories with comparable characteristics where the animal could also thrive, even in the absence of direct observation.

This approach is very useful for studying creatures like scorpions, for which field data is sometimes incomplete. It uses information available on a global scale, making it operational over vast areas. Researchers can thus generate probability maps of presence.

The process begins with the collection of verified observation points, coupled with layers of environmental data. It ultimately produces a spatial projection indicating where the animal is most likely to develop.