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Ecological Intelligence / Subject

sampling bias

Aquatic fungi just got a global dataset—and its gaps are as informative as its scale

Evidence
Peer-reviewed
Geography
Global — 1,452 aquatic sites in 87 countries
System
Freshwater and marine aquatic ecosystems

WHAT THE EVIDENCE SAYS

The FunAqua data descriptor combines 1,076 sediment and 1,299 filtered-water samples from 1,452 sites in 87 countries and reports 50,152 fungal OTUs using long-read ITS metabarcoding. European samples make up about 56% of the dataset, with freshwater lakes and rivers much more heavily represented than several coastal and specialized aquatic habitats.

WHY IT MATTERS / OUR READ

This is valuable as both a biodiversity resource and a map of where the evidence is thin. Global microbial baselines become more useful when sampling geography, biome coverage, sequencing depth and laboratory differences remain visible rather than disappearing behind the word 'global.'

CAVEATS / UNCERTAINTY

Sampling is geographically and environmentally uneven, protocols and preservation histories vary among contributing campaigns, ITS barcoding has taxonomic limitations, and recovered DNA does not by itself distinguish actively growing aquatic fungi from spores or material transported into the sample.

SOURCE

Scientific Data
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FunAqua assembles long-read metabarcoding from 1,452 sites in 87 countries, but Europe supplies more than half the samples and fungal sequencing depth remains uneven.

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The Tumbesian bird list grew by 16% after researchers mapped where people had not looked

Evidence
Peer-reviewed
Geography
Tumbesian region of Ecuador and Peru
System
Tropical dry and humid forests and associated habitats

WHAT THE EVIDENCE SAYS

A synthesis of more than 439,000 refined bird records identified 931 species in the Tumbesian region—about 16% more than previous estimates—including 24 new regional records and 82 endemic species. Sampling effort was strongly biased toward accessible coastal and protected areas; humid forests held the greatest recorded richness but only about half of estimated sampling completeness.

WHY IT MATTERS / OUR READ

Conservation maps inherit survey effort. Apparent gaps in biodiversity can be gaps in observation, so prioritization should carry information about sampling completeness alongside richness and formal protection.

CAVEATS / UNCERTAINTY

The analysis synthesizes occurrence records rather than standardized abundance surveys, and completeness estimates depend on the underlying data and modeling choices. More records do not automatically indicate increasing bird populations.

SOURCE

Conservation Science and Practice · Original evidence
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More than 439,000 records reveal major sampling gaps in the Ecuador–Peru hotspot, including incompletely surveyed humid forests that can distort richness and protection assessments.

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