Modeling future range expansion and management strategies for an invasive squirrel species

Persistent Link:
http://hdl.handle.net/10150/612964
Title:
Modeling future range expansion and management strategies for an invasive squirrel species
Author:
Goldstein, Emily A.; Butler, Fidelma; Lawton, Colin
Affiliation:
School of Natural Resources and the Environment, ENR2, University of Arizona
Issue Date:
2016-02-18
Publisher:
Springer
Citation:
Modeling future range expansion and management strategies for an invasive squirrel species 2016, 18 (5):1431 Biological Invasions
Journal:
Biological Invasions
Rights:
Copyright © Springer International Publishing Switzerland 2016
Collection Information:
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
Abstract:
Successful management of an invasive species requires in depth knowledge of the invader, the invaded ecosystem, and their interactions. The complexity of the species-system interactions can be reduced and represented in ecological models for better comprehension. In this study, a spatially explicit population model was created using the RAMAS software package to simulate the past and future invasion dynamics of the eastern grey squirrel (Sciurus carolinensis) in the fragmented habitat in case study areas in Ireland. This invasive squirrel species causes economic damage by bark stripping forest crops and is associated with the decline of its native congener (S. vulgaris). Three combinations of demographic and dispersal parameters, which best matched the distribution of the species shortly after introduction, were used to simulate invasion dynamics. Future population expansion was modeled under scenarios of no control and two different management strategies: fatal culls and immunocontraceptive vaccination programmes. In the absence of control, the grey squirrel range is predicted to expand to the south and southwest of Ireland endangering internationally important habitats, vulnerable forest crops, and the native red squirrel. The model revealed that region-wide intensive and coordinated culls would have the greatest impact on grey squirrel populations. Control strategies consisting solely of immunocontraceptive vaccines, often preferred by public interest groups, are predicted to be less effective. Complete eradication of the grey squirrel from Ireland is not economically feasible and strategic evidence-based management is required to limit further range expansion. Ecological models can be used to choose between informed management strategies based on predicted outcomes.
ISSN:
1387-3547; 1573-1464
DOI:
10.1007/s10530-016-1092-7
Keywords:
Cull - Immunocontraceptive vaccine; Invasion dynamics; Grey squirrel; SEPM; Sciurus carolinensis
Version:
Final accepted manuscript
Additional Links:
http://link.springer.com/10.1007/s10530-016-1092-7

Full metadata record

DC FieldValue Language
dc.contributor.authorGoldstein, Emily A.en
dc.contributor.authorButler, Fidelmaen
dc.contributor.authorLawton, Colinen
dc.date.accessioned2016-06-13T23:56:24Z-
dc.date.available2016-06-13T23:56:24Z-
dc.date.issued2016-02-18-
dc.identifier.citationModeling future range expansion and management strategies for an invasive squirrel species 2016, 18 (5):1431 Biological Invasionsen
dc.identifier.issn1387-3547-
dc.identifier.issn1573-1464-
dc.identifier.doi10.1007/s10530-016-1092-7-
dc.identifier.urihttp://hdl.handle.net/10150/612964-
dc.description.abstractSuccessful management of an invasive species requires in depth knowledge of the invader, the invaded ecosystem, and their interactions. The complexity of the species-system interactions can be reduced and represented in ecological models for better comprehension. In this study, a spatially explicit population model was created using the RAMAS software package to simulate the past and future invasion dynamics of the eastern grey squirrel (Sciurus carolinensis) in the fragmented habitat in case study areas in Ireland. This invasive squirrel species causes economic damage by bark stripping forest crops and is associated with the decline of its native congener (S. vulgaris). Three combinations of demographic and dispersal parameters, which best matched the distribution of the species shortly after introduction, were used to simulate invasion dynamics. Future population expansion was modeled under scenarios of no control and two different management strategies: fatal culls and immunocontraceptive vaccination programmes. In the absence of control, the grey squirrel range is predicted to expand to the south and southwest of Ireland endangering internationally important habitats, vulnerable forest crops, and the native red squirrel. The model revealed that region-wide intensive and coordinated culls would have the greatest impact on grey squirrel populations. Control strategies consisting solely of immunocontraceptive vaccines, often preferred by public interest groups, are predicted to be less effective. Complete eradication of the grey squirrel from Ireland is not economically feasible and strategic evidence-based management is required to limit further range expansion. Ecological models can be used to choose between informed management strategies based on predicted outcomes.en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urlhttp://link.springer.com/10.1007/s10530-016-1092-7en
dc.rightsCopyright © Springer International Publishing Switzerland 2016en
dc.subjectCull - Immunocontraceptive vaccineen
dc.subjectInvasion dynamicsen
dc.subjectGrey squirrelen
dc.subjectSEPMen
dc.subjectSciurus carolinensisen
dc.titleModeling future range expansion and management strategies for an invasive squirrel speciesen
dc.typeArticleen
dc.contributor.departmentSchool of Natural Resources and the Environment, ENR2, University of Arizonaen
dc.identifier.journalBiological Invasionsen
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal accepted manuscripten
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.