How to detect and visualize extinction thresholds for structured PVA models

[1]  M. Shaffer.  Minimum Population Sizes for Species Conservation , 1981 .

[2]  M. Soulé,et al.  Viable Populations for Conservation , 1987 .

[3]  M. Boyce.  Population Viability Analysis , 1992 .

[4]  Scott Ferson,et al.  Risk assessment in conservation biology , 1993 .

[5]  Christian Wissel,et al.  Modelling Extinction and Survival of Small Populations , 1994 .

[6]  Christian Wissel,et al.  Consolidation of Vineyards, Mitigations, and Survival of the Common Wall Lizard ( Podarcis Muralis ) in Isolated Habitat Fragments , 1996 .

[7]  Josef Settele,et al.  Species survival in fragmented landscapes , 1996 .

[8]  P. Rep,et al.  Individual-based modelling in ecology: what makes the difference? , 1996 .

[9]  Peter Kareiva,et al.  Conservation biology: for the coming decade. , 1998 .

[10]  M. Groom,et al.  The Analysis of Population Persistence: An Outlook on the Practice of Viability Analysis , 1998 .

[11]  Amy W. Ando,et al.  On the Use of Demographic Models of Population Viability in Endangered Species Management , 1998 .

[12]  Thomas Stephan,et al.  The extinction risk of a population exploiting a resource , 1999 .

[13]  R. Lande,et al.  Time frames for population viability analysis of species with long generations: an example with Asian elephants , 1999 .

[14]  Ilse Storch,et al.  Minimum viable population size of capercaillie Tetrao urogallus: results from a stochastic model , 2000, Wildlife Biology.

[15]  E. Griebeler,et al.  The influence of temperature model assumptions on the prognosis accuracy of extinction risk , 2000 .

[16]  T. Ebenhard.  Population viability analyses in endangered species management: the wolf, otter and peregrine falcon in Sweden , 2000 .

[17]  M. Burgman,et al.  Structural uncertainty in stochastic population models: delayed development in the eastern barred bandicoot, Perameles gunnii , 2001 .

[18]  Christian Wissel,et al.  The intrinsic mean time to extinction: a unifying approach to analysing persistence and viability of populations , 2004 .