WHEN IS IT MEANINGFUL TO ESTIMATE AN EXTINCTION PROBABILITY?

WHEN IS IT MEANINGFUL TO ESTIMATE AN EXTINCTION PROBABILITY? Recently Don Ludwig has shown that calculations of extinction probabilities based on currently available data are often meaningless due to the large uncertainty accompanying the estimates. Here we address two questions posed by his findings. Can one ever calculate extinction probabilities accurately? If so, how much data would be necessary? Our analysis indicates that reliable predictions of long-term extinction probabilities are likely to require unattainable amounts of data. Analytic calculations based on diffusion approximations indicate that reliable predictions of extinction probabilities can be made only for short-term time horizons (10%% to 20%% as long as the period over which the population has been monitored). Simulation results for unstructured and structured populations (three stage classes) agree with these calculations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecology Ecological Society of America

WHEN IS IT MEANINGFUL TO ESTIMATE AN EXTINCTION PROBABILITY?

Ecology, Volume 81 (7) – Jul 1, 2000

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Publisher
Ecological Society of America
Copyright
Copyright © 2000 by the Ecological Society of America
Subject
Comments
ISSN
0012-9658
D.O.I.
10.1890/0012-9658%282000%29081%5B2040:WIIMTE%5D2.0.CO%3B2
Publisher site
See Article on Publisher Site

Abstract

Recently Don Ludwig has shown that calculations of extinction probabilities based on currently available data are often meaningless due to the large uncertainty accompanying the estimates. Here we address two questions posed by his findings. Can one ever calculate extinction probabilities accurately? If so, how much data would be necessary? Our analysis indicates that reliable predictions of long-term extinction probabilities are likely to require unattainable amounts of data. Analytic calculations based on diffusion approximations indicate that reliable predictions of extinction probabilities can be made only for short-term time horizons (10%% to 20%% as long as the period over which the population has been monitored). Simulation results for unstructured and structured populations (three stage classes) agree with these calculations.

Journal

EcologyEcological Society of America

Published: Jul 1, 2000

Keywords: conservation; ; data requirements; ; diffusion approximation; ; extinction; ; population viability; ; stochastic matrix models; ; uncertainty

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