Document Detail


The probabilistic economic injury level: incorporating uncertainty into pest management decision-making.
MedLine Citation:
PMID:  12852585     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Despite the recognition that the economic injury level (EIL) is determined by dynamic biological and economic parameters, which can be highly variable and uncertain, there has been little effort to quantify uncertainty and to use estimates of uncertainty in the determination of EILs. In this paper, we define the probabilistic EIL (PEIL) and develop PEILs for two insect pest scenarios: alfalfa weevil larvae, Hypera postica (Gyllenhal), on early bud-stage alfalfa, and bean leaf beetle adults, Cerotoma trifurcata (Forster), on V1-stage soybean. The PEIL is an EIL that reflects its probability of occurrence. The probability of occurrence is determined by incorporating the uncertainty associated with the input variables used to calculate the EIL. We used Monte Carlo simulation, a random sampling technique in which each input variable in the model was sampled repeatedly from a range of possible values based on probability distributions. Each input variable's probability distribution was sampled such that the distribution's shape was reproduced. Then, the variability for each input was propagated into the output of the model so that the model output reflected the probability of values that could occur. This represents the first use of the Monte Carlo technique to determine EILs.
Authors:
Robert K D Peterson; Thomas E Hunt
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of economic entomology     Volume:  96     ISSN:  0022-0493     ISO Abbreviation:  J. Econ. Entomol.     Publication Date:  2003 Jun 
Date Detail:
Created Date:  2003-07-10     Completed Date:  2004-01-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  2985127R     Medline TA:  J Econ Entomol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  536-42     Citation Subset:  IM    
Affiliation:
Department of Entomology, 333 Leon Johnson Hall, Montana State University, Bozeman, MT 59717-3020, USA. bpeterson@montana.edu
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MeSH Terms
Descriptor/Qualifier:
Animals
Decision Making*
Insect Control / economics*
Insects / physiology
Medicago sativa / parasitology
Models, Economic
Monte Carlo Method
Plant Diseases / economics*,  parasitology*
Soybeans / parasitology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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