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Ecological Intelligence

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Ecological Intelligence / Subject

Kenya

Peer-reviewed Africa

In Kakamega Forest, the season changed the butterfly community more than the habitat label did

Evidence
Peer-reviewed
Geography
Kakamega Forest ecosystem, Kenya
System
Tropical rainforest fragment / butterfly community

WHAT THE EVIDENCE SAYS

Weekly surveys from January through June 2024 recorded 10,334 butterflies representing 146 species across six cover types. Abundance, richness and Shannon diversity rose in the wet season, community composition separated by season, and one-month-lagged rainfall was the strongest abundance predictor. Natural and secondary forest still supported the highest abundance and diversity, but season explained more overall community variation than habitat type.

WHY IT MATTERS / OUR READ

Biodiversity monitoring can misread habitat differences when sampling windows do not span seasonal transitions. For tropical insects especially, timing is part of the survey design—not background noise.

CAVEATS / UNCERTAINTY

This is one six-month study in one rainforest fragment. It does not establish a long-term climate trend, and seasonal dominance in this system should not be generalized to other taxa, years or tropical forests.

SOURCE

Journal of Tropical Ecology
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Six months of weekly surveys across six forest-cover types found wet–dry transitions explaining more community variation than habitat type, with lagged rainfall the strongest abundance predictor.

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Africa

Kenya’s One Health record shows research mattered when it was translated into disease-control policy

Evidence
Institutional synthesis
Geography
Kenya
System
Human–livestock–wildlife disease governance

WHAT THE EVIDENCE SAYS

An ILRI evidence-to-policy brief reviews a decade of Kenyan One Health research and partnerships and links that work to three national policy products: an anthrax control strategy, a human brucellosis testing strategy and a Rift Valley fever contingency plan. The emphasis is on the institutional work required to move evidence through agencies and into operational guidance.

WHY IT MATTERS / OUR READ

Disease science does not become public policy automatically. The case is useful because it treats translation capacity—long-term relationships, cross-sector institutions and decision timing—as part of the evidence system rather than as communication added after research is finished.

CAVEATS / UNCERTAINTY

This is an institutional retrospective from an organization involved in the work, not an independent causal evaluation of policy effectiveness. The existence of a strategy does not demonstrate implementation quality or improved disease outcomes.

SOURCE

International Livestock Research Institute
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An ILRI retrospective traces how sustained research partnerships contributed to national strategies for anthrax, brucellosis and Rift Valley fever.

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