Advances in modelling projections for reintroduced populations

No Thumbnail Available
File version
Author(s)
Chauvenet, Alienor LM
Parlato, Elizabeth H
Gedir, Jay V
Armstrong, Doug P
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)

Armstrong, DP

Hayward, MW

Moro, D

Seddon, PJ

Date
2015
Size
File type(s)
Location
License
Abstract

The use of predictive modelling to plan reintroductions and manage reintroduced populations has increased steadily since the mid-1990s, with Australia and New Zealand at the forefront. We overview the types of models commonly used for species reintroductions, focusing on Australia and New Zealand examples. Site selection, release strategies (e.g. number, composition and timing), population viability and management impacts are the key issues investigated. We discuss how to deal with uncertainties associated with parameter estimation, stochasticity, model selection, integrating modelling approaches and decision making. Finally we highlight three promising modelling approaches for planning species reintroductions and modelling reintroduced populations: decision theory and optimisation, individual based modelling and Bayesian hierarchical modelling.

Journal Title
Conference Title
Book Title

Advances in Reintroduction Biology of Australian and New Zealand Fauna

Edition
Volume
Issue
Thesis Type
Degree Program
School
DOI
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject

Other environmental sciences not elsewhere classified

Persistent link to this record
Citation
Collections