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Updated: May 3, 2026

Application of Two-spotted Spider Mite Tetranychus urticae for Plant-pest Interaction Studies

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Extracting aquatic mites from stream substrates: a comparison of three methods.

¹Australian School of Environmental Studies, Griffith University, Nathan, Queensland. H.Proctor@mailbox.gu.edu.au

Experimental & Applied Acarology

|August 18, 2001

Summary

This summary is machine-generated.

For effective aquatic mite surveys in streams, avoid live-picking alone. Combining live-picking with kerosene-flotation (kero-float) ensures thoroughness and efficiency for capturing diverse mite species.

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Last Updated: May 3, 2026

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Published on: July 30, 2019

Area of Science:

Aquatic ecology
Acarology
Freshwater invertebrate sampling

Background:

Aquatic mites (Hydrachnida, Oribatida, Halacaroidea) are diverse and abundant in stream substrates.
Their small size often leads to them being overlooked in ecological surveys.
Understanding efficient extraction methods is crucial for accurate biodiversity assessments.

Purpose of the Study:

To compare the thoroughness and time-efficiency of three extraction methods for aquatic mites from stream substrates.
To identify the optimal method for surveying diverse acarofauna, including smaller taxa like oribatids and halacarids.

Main Methods:

Live-picking: sorting live samples without magnification.
Microscope-picking: exhaustive sorting of preserved samples using a dissecting microscope.
Kero-float: kerosene-flotation of preserved samples followed by sorting with a dissecting microscope.

Main Results:

Live-picking yielded significantly fewer individuals and species, biased towards larger mites.
Oribatids and halacarids were missed with live-picking.
Live-picking and kero-float showed similar time-efficiency, while microscope-picking was less efficient than kero-float.

Conclusions:

A combination of live-picking and kerosene-flotation is recommended for comprehensive stream acarofauna surveys.
This combined approach improves the detection of diverse mite species and overall sample thoroughness.