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Trees on Cattle Farms May Keep Panama’s Tropical Streams Cleaner, First Field Test Suggests

On the cattle ranches of Panama’s Azuero Peninsula, the dry tropical forest survives mostly as ribbons of trees along streams and as living fences strung across pastures. A new field study suggests those scattered trees may be doing more than shading livestock. When researchers surveyed the streams running through five silvopastoral farms, they found that the biological condition of the water tracked the amount of carbon stored in riparian trees rather than the sheer size of the forested corridor. Farms with heavier, taller riparian vegetation supported more pollution-sensitive aquatic insects and greater macroinvertebrate diversity, a preliminary signal that integrating trees into working landscapes could improve stream health in one of Central America’s most heavily converted ecosystems.

The study, published in Neotropical Biology and Conservation, is the first anywhere to examine how silvopastoral practices affect stream water quality. Silvopastoralism is a form of agroforestry that embeds trees into animal pastures, and previous work has shown it improves soil quality, increases shade and fodder for cattle, boosts carbon storage, and provides commercial products for landowners. What remained unknown was whether those benefits extend to the streams that drain the pastures. To find out, the team turned to an unusual but powerful set of witnesses: the aquatic macroinvertebrates living on the stream bottoms.

Macroinvertebrates are classic biological indicators of stream condition. Water chemistry offers a snapshot of the immediate state of a stream, but the insects that spend weeks or months in the water integrate habitat changes over time. Pollution-sensitive taxa such as mayflies, stoneflies, and caddisflies disappear quickly when streams degrade, while tolerant groups such as true flies thrive. By calculating the percent EPT, the percent Diptera, the percent Odonata, taxonomic richness, abundance, and the Shannon Diversity Index at each site, the researchers could score the long-term biological state of each farm’s streams.

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In this episode of The Swine it Podcast Show Canada, Swaminathan Jayaraman, Research Assistant and PhD Candidate at Iowa State University College of Veterinary Medicine, explains how integrated data systems can improve disease surveillance in swine production. He discusses combining diagnostics, animal movement data, production records, and spatial analytics to identify risks earlier and support proactive decision-making for PRRS, PED, and swine influenza. Listen now on all major platforms!

"Disease surveillance remains largely reactive because outbreaks are often confirmed only after transmission has already occurred across multiple connected production sites."

Meet the guest: Swaminathan Jayaraman / swamjay is a Graduate Research Assistant at Iowa State University College of Veterinary Medicine. With academic training in management information systems and engineering, he focuses on integrating diagnostic, production, and movement data to improve disease surveillance and decision support in swine production systems. Listen to Swaminathan Jayaraman on The Swine it Podcast Show Canada, available on all major platforms.