Location
SPREP LIBRARY
Publisher
University of Hawaii
Publication Year:
2007
Publication Place
Hawaii
Physical Description:
9p. : 29cm.
Call Number
[EL]
Material Type
Language
English
Record ID:
395
Legacy PEIN ID:
81665
General Notes
Online only|Internal access only (SPREP staff)
Local file URL: \\nas\IRCA\articles\acis\learning-catching-uncertain-invasive-species-populations-value-information.pdf
Local file URL: \\nas\IRCA\articles\acis\learning-catching-uncertain-invasive-species-populations-value-information.pdf
Subject Heading(s)
Invasive species - Information
Invasive alien species - Conservation
Invasive species control - Brown treesnake
Abstract
This paper develops a model of invasive species control when the species population size is unknown. In the face of an uncertain population size, a resource managers species-control efforts provide two potential bene ts: (1) a direct bene t of possibly reducing the population of invasive species, and (2) an indirect bene t of information acquisition (due to learning about the population size, which reduces uncertainty). We provide a methodology that takes into account both of these bene ts, and show how optimal management decisions are altered in the presence of the indirect bene t of learning. We then apply this methodology to the case of controlling the Brown Treesnake (Boiga irregularis) on the island of Saipan. We nd that the indirect bene tthe value of information to reduce uncertaintyis likely to be quite large.
Location
SPREP LIBRARY
Publisher
University of Hawaii
Publication Year:
2007
Publication Place
Hawaii
Physical Description:
9p. : 29cm.
Call Number
[EL]
Material Type
Language
English
Record ID:
395
Legacy PEIN ID:
81665
General Notes
Online only|Internal access only (SPREP staff)
Local file URL: \\nas\IRCA\articles\acis\learning-catching-uncertain-invasive-species-populations-value-information.pdf
Local file URL: \\nas\IRCA\articles\acis\learning-catching-uncertain-invasive-species-populations-value-information.pdf
Record Created: 27-Feb-2018
Record Modified: 09-Dec-2021