Active Adaptive Management in Insect Pest and Weed Control: Intervention with a Plan for Learning

Shea, Katriona, Possingham, Hugh P., Murdoch, William W. and Roush, Rick (2002) Active Adaptive Management in Insect Pest and Weed Control: Intervention with a Plan for Learning. Ecological Applications, 12 3: 927-936. doi:10.2307/3061000

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
UQ8678OA.pdf Open Access Copy Click to show the corresponding preview/stream application/pdf 74.60KB 1013

Author Shea, Katriona
Possingham, Hugh P.
Murdoch, William W.
Roush, Rick
Title Active Adaptive Management in Insect Pest and Weed Control: Intervention with a Plan for Learning
Journal name Ecological Applications   Check publisher's open access policy
ISSN 1051-0761
Publication date 2002-06-01
Sub-type Article (original research)
DOI 10.2307/3061000
Volume 12
Issue 3
Start page 927
End page 936
Total pages 10
Editor Pitelka, L. F.
Place of publication Washington
Publisher Ecological Society of America
Collection year 2002
Language eng
Subject 270799 Ecology and Evolution not elsewhere classified
270708 Conservation and Biodiversity
270706 Life Histories (incl. Population Ecology)
C1
239901 Biological Mathematics
270700 Ecology and Evolution
0501 Ecological Applications
Abstract A major problem in insect pest and weed management is uncertainty. Managers are faced with three main types of uncertainty: uncertainty about biological and environmental processes, and observational uncertainty. Active adaptive management (AAM) is management with a deliberate plan for learning about the managed system, so that management can be improved in the face of uncertainty. We discuss the potential benefits of applying AAM to insect pest and weed control with reference to a number of examples. We first address the possible uses for AAM in biological control, with particular reference to agent selection and release. We also propose applying AAM methods to resistance management and to spatial strategies for pest control. We conclude with an overview of AAM, a discussion of some of the potential limitations to its use in pest management, and the possibilities for increased implementation of AAM in the future.
Keyword active adaptive management
applied ecology
biocontrol agent selection
biological control
experimental management
pest control
release strategies
resistance management
spatial management
weed control
ecology
Q-Index Code C1

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 70 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 74 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 476 Abstract Views, 1037 File Downloads  -  Detailed Statistics
Created: Fri, 10 Feb 2006, 10:00:00 EST by Hugh P. Possingham on behalf of School of Biological Sciences