Structural uncertainty in stochastic population models: delayed development in the eastern barred bandicoot, Perameles gunnii

Citation
Cr. Todd et al., Structural uncertainty in stochastic population models: delayed development in the eastern barred bandicoot, Perameles gunnii, ECOL MODEL, 136(2-3), 2001, pp. 237-254
Citations number
64
Categorie Soggetti
Environment/Ecology
Journal title
ECOLOGICAL MODELLING
ISSN journal
03043800 → ACNP
Volume
136
Issue
2-3
Year of publication
2001
Pages
237 - 254
Database
ISI
SICI code
0304-3800(20010120)136:2-3<237:SUISPM>2.0.ZU;2-5
Abstract
Uncertainty about which model structure best describes the life history of a species may be a problem for the development of some population viability analysis (PVA). This paper describes the development and exploration of tw o structurally different stochastic population models when there is uncerta inty about the life history of a species. Delayed reproduction was observed in a protected population of the small marsupial Perameles gunnii (eastern barred bandicoot) at Woodlands Historic Park, Victoria, Australia. This pr eviously undocumented feature of P. gunnii may be considered to be either a component of the seasonal breeding cycle or it may be delayed development to sexual maturity. A delayed development model is compared to a standard d evelopment model where the parameter estimates of each model were obtained from a long-term mark-recapture study at Woodlands Historic Park. While the growth rate of the delayed development model is less than that of the stan dard model, the predicted risks of extinction/ quasiextinction were higher for the standard model. This discrepancy is the result of different interpr etations placed upon the available data underpinning the two models, the mo st important of which is the difference between the estimated variance in s urvivorship of the sub-adult stage. The results highlight the need for cons ervation assessments based on stochastic modelling to explore the degree to which the predicted extinction risk is affected by the incomplete knowledg e of the species' basic biology and parameter values. (C) 2001 Elsevier Sci ence B.V. All rights reserved.