world politics tech business tabloid sports science health entertainment lifestyle food travel gaming

What are desert locust warning systems worth?

Desert locust monitoring yields large returns

A study of the long-running desert locust monitoring system finds that early warning and surveillance can dramatically reduce the damage caused by locust outbreaks—and that the monitoring has produced very large economic returns.

The coverage describes surveillance as a key mechanism for minimizing natural disasters in the specific context of locust plagues. By detecting conditions early and improving the ability to target response efforts before swarms fully expand, monitoring helps reduce losses from crop destruction and related downstream effects.

The researchers report returns of up to 680 times the investment, highlighting that relatively small spending on monitoring can prevent or reduce much larger losses later. The analysis also points to surveillance limits, meaning that monitoring does not guarantee perfect coverage of every risk scenario. Still, even with imperfect detection, the overall cost-benefit result is strongly positive.

This matters because locust events can quickly become regional crises that disrupt food supplies. In agriculture-dependent economies, the financial stakes are high: damage translates into reduced yields, higher prices, and knock-on effects for livelihoods.

The study’s framing emphasizes that surveillance is not just a scientific activity; it can function like risk management. It supports decisions about where and when to intervene, and it can guide allocation of response resources.

For policymakers and donors, the message is straightforward: strengthening warning systems can be one of the most efficient ways to reduce disaster impacts. Even when the system has inherent constraints, the expected benefits can far exceed the costs when measured against outbreak losses.

Overall, the findings add to a growing body of evidence that preventive investments—especially those enabling early action—can outperform reactive spending after disasters fully emerge.


Curated by Humans | Summarized by Machines