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Updated: Jun 2, 2026

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

A Precise and Autonomous System for the Detection of Insect Emergence Patterns

Published on: January 9, 2019

Estimating detection-effort curves for plants using search experiments.

Joslin L Moore¹, Cindy E Hauser, Jennifer L Bear

¹Applied Environment Decision Analysis CERF, School of Botany, University of Melbourne, Parkville 3010, Victoria, Australia. joslinm@unimelb.edu.au

Ecological Applications : a Publication of the Ecological Society of America

|May 14, 2011

Summary

This summary is machine-generated.

Plant detection is imperfect, impacting management and biodiversity. This study quanties detection probability for invasive orange hawkweed, showing it increases with search effort and plant abundance.

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Computer Vision-Based Biomass Estimation for Invasive Plants

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Area of Science:

Ecology
Conservation Biology
Invasive Species Management

Background:

Plant detection in surveys is often assumed to be perfect, yet studies show this is not always true, even for conspicuous species.
Imperfect detection can lead to flawed ecological management decisions and negative biodiversity outcomes.
Empirical data on factors influencing plant detectability, such as search effort and abundance, are scarce, hindering effective survey design.

Purpose of the Study:

To empirically measure the detection-effort curve for the invasive plant orange hawkweed (Hieracium aurantiacum).
To investigate how search effort, plant abundance, and observer experience affect detection probability.
To provide data for improving plant survey methodologies and enhancing conservation strategies.

Main Methods:

A search experiment was conducted in Victoria, Australia, to quantify detection probability.
The study focused on the invasive species orange hawkweed (Hieracium aurantiacum).
Detection probability was analyzed in relation to search effort, number of plants, and observer experience.

Main Results:

Detection probability for orange hawkweed significantly increased with greater search effort.
Higher plant abundance at a location also correlated with increased detection probability.
While individual detection rates varied among observers, prior experience showed minimal impact on detection success.

Conclusions:

Accounting for imperfect detectability is crucial for accurate plant surveys and effective biodiversity management.
Search effort and plant abundance are key factors influencing the detection of invasive species like orange hawkweed.
Further research quantifying plant detectability across various species and environments is encouraged to refine survey protocols.