Optimisation of Drop‐Sheet Sampling in Macadamia ( <scp> <i>Macadamia integrifolia</i> </scp> ) Orchards: An Optimised Method for Monitoring Insect Ecology

ABSTRACT Understanding orchard arthropod populations is a critical element of making strategic decisions regarding pest management. Therefore, it is paramount for farmers and crop consultants to use appropriate survey methods that provide a representative sample of orchard insect ecology. Currently, macadamia ( Macadamia integrifolia ) industry arthropod sampling strategies are limited by the number of established methods available for use. Drop‐sheet sampling has recently been introduced to the industry but requires optimisation for industry implementation. This study investigated how sheet size (1, 4, 9, 16 and 25 m 2 ) affected arthropod diversity representation, sample time efficiency and required sampling effort. The method was then verified through a snapshot regional survey of the Gympie macadamia production region, conducted prior to flowering to establish baseline arthropod assemblages before seasonal increases in insect activity. It was found that as sheet size increased, so did the relative sample representation as well as the time taken to sample. Sheet sizes of 25 m 2 were the most effective sheet size overall for use in drop‐sheet sampling and yielded the greatest species richness, community representation and sample completeness. Additionally, we found that minimum sample effort of five replicates was required for 25 m 2 sheet sizes. The regional field survey further improved on sample effort optimisation, where seven replicates were determined to be capable of providing representative samples from orchard blocks across independent sites. Using drop‐sheeting in the pre‐flowering survey of the Gympie macadamia production region recovered a wide range of arthropod orders, assemblages and rare species. Whereas validation on a wider spatial and temporal range is required, drop‐sheeting is proving to be a useful tool for research and surveys on macadamia orchard insect ecology.

Authors

Institutions

Publication Details

Journal
Austral Entomology
Published
2026-07-01
DOI
https://doi.org/10.1111/aen.70092
Primary Topic
Insect Pheromone Research and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimisation of Drop‐Sheet Sampling in Macadamia ( Macadamia integrifolia ) Orchards: An Optimised Method for Monitoring Insect Ecology

Jay Martin Anderson, Nigel R. Andrew, Reid N. Emery
Austral Entomology
Insect Pheromone Research and Control
article

Optimisation of Drop‐Sheet Sampling in Macadamia ( Macadamia integrifolia ) Orchards: An Optimised Method for Monitoring Insect Ecology

Jay Martin Anderson, Nigel R. Andrew, Reid N. Emery
article en

Abstract

ABSTRACT Understanding orchard arthropod populations is a critical element of making strategic decisions regarding pest management. Therefore, it is paramount for farmers and crop consultants to use appropriate survey methods that provide a representative sample of orchard insect ecology. Currently, macadamia ( Macadamia integrifolia ) industry arthropod sampling strategies are limited by the number of established methods available for use. Drop‐sheet sampling has recently been introduced to the industry but requires optimisation for industry implementation. This study investigated how sheet size (1, 4, 9, 16 and 25 m 2 ) affected arthropod diversity representation, sample time efficiency and required sampling effort. The method was then verified through a snapshot regional survey of the Gympie macadamia production region, conducted prior to flowering to establish baseline arthropod assemblages before seasonal increases in insect activity. It was found that as sheet size increased, so did the relative sample representation as well as the time taken to sample. Sheet sizes of 25 m 2 were the most effective sheet size overall for use in drop‐sheet sampling and yielded the greatest species richness, community representation and sample completeness. Additionally, we found that minimum sample effort of five replicates was required for 25 m 2 sheet sizes. The regional field survey further improved on sample effort optimisation, where seven replicates were determined to be capable of providing representative samples from orchard blocks across independent sites. Using drop‐sheeting in the pre‐flowering survey of the Gympie macadamia production region recovered a wide range of arthropod orders, assemblages and rare species. Whereas validation on a wider spatial and temporal range is required, drop‐sheeting is proving to be a useful tool for research and surveys on macadamia orchard insect ecology.

Austral EntomologyVol. 65(3)
Southern Cross University (AU)
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Insect Pheromone Research and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.