The intrinsic mean time to extinction: a unifying approach to analysing persistence and viability of populations

By Volker Grimm, C. Wissel. 2004

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Extinction risk in cloud forest fragments under climate change and habitat loss (2013, methodology): “1=M ; (4) vi ¼ lnð0:01Þ 100 Ai Hk xk ; (5) Grimm & Wissel (2004) show how mean time to extinction can be used to approximate the annual probability of extinction pkðxÞ ¼ 1 e 100=TkðxÞ; (6) The model we used to assess metapopulation extinction risk is limited to cases where there are five or more…”
Smart spatial incentives for market-based conservation (2008, methodology): “We checked that populations were in a steady state after initialization and thus the measurements were not a ected by the initialization (see Grimm and Wissel, 2004).”
A standard protocol for describing individual-based and agent-based models (2006, methodology): “For model analysis, only population-level variables were recorded, i.e. group size distribution, population size over time, and time to extinction (using the “ln(1 − P0) plot” of Grimm and Wissel, 2004).”