IGAD member states to have joint database for pests outbreaks

Intergovernmental Authority on Development (IGAD) member states will be required to share pest-related data including pest outbreaks, distribution patterns and control measures.

Delegates from the IGAD member states comprising of Djibouti, Ethiopia, Kenya, Somalia, South Sudan, Sudan and Uganda convened in Nairobi on Wednesday to chart a path towards sustainable development and deliberated on issues pertaining affecting the region.

In a communiqué, the member states proposed to come up with a central database that facilitates real-time exchange of data on the issues to do with pests such as locusts.

“We urge the adoption of innovative technologies, such as satellite monitoring systems and digital data collection tools for pests’ surveillance, monitoring and control operations,” the communiqué reads.

They also committed to work with Desert Locust Control Organisation for Eastern Africa (DLCO-EA) and research institutions at national, regional and international levels.

Through the collaboration, they will be able to conduct fundamental assessments and research on topics related to surveillance and management of desert locusts and other trans-boundary pests.

“We recommend Igad, DLCO-EA and Fao to collaborate, synergise their activities in combating desert locust and other transboundary pests and provide technical support to member states to enhance their early warning systems,” they said in the joint communiqué.

Speaking during the event, Agriculture CS Mithika Linturi acknowledged that the agriculture sector in Kenya had been affected by multiple shocks and hazards affecting production and incomes.

He noted that the Sector has experienced climate related shocks and disasters beyond the control of most farmers and the frequency and severity has increased over the past two decades.

“There is need to generate relevant reliable data for decision making which cannot be emphasised,” Linturi said.

“This includes harnessing digital technology and remote sensed data, to support service delivery, particularly for remote areas,” he added.

He noted that historical events and the early warning systems have made drought and flood risks predictable.

Given the predictability, adaptation and mitigation measures can be employed to reduce the probability of loss and damages associated with droughts and floods, he noted.