NCEAS Working Groups
Red flags and species endangerment: Meta-analytical development of criteria for assessing extinction risk
Project Description
Humans now dominate most global ecosystems, with severe consequences for biodiversity. Straightforward guidelines for risk assessment that are broadly applicable across diverse taxa, environments, and regulatory settings are essential for effective conservation of species and populations. We will use an empirically-based approach to developing risk criteria guidelines that takes advantage of large amounts of data for natural populations that have been compiled over the last 1-2 decades. Conceptually, we propose to consider a species ‘endangered’ if it has entered a ‘Red Zone’ characterized by two features:
a) actual risks of extinction rise rapidly, even though they can be difficult to predict quantitatively, and
b) uncertainty about key demographic/evolutionary processes increases exponentially.
The key then is to identify ‘Red Flags,’ or metrics that signal a species/population is in or near the Red Zone. We propose a rather broad interpretation of the Red Zone to include breakdown of key evolutionary processes within populations (e.g., loss of genetic variability, human-induced selection); and ecological interactions between populations (e.g., changes in predator-prey relationships, levels of interspecific competition); as well as the importance of biocomplexity and connectivity in promoting sustainability of interacting groups of populations. The practical usefulness of candidate Red Flag criteria will be tested by applying them to a large number of case studies of species that have been formally considered for federal protection in the US and Canada; and performance of quantitative models to predict probability of entering the Red Zone will be evaluated.

Principal Investigator(s)
Robin S. Waples, Jeffrey A. Hutchings
Project Dates
Start: September 28, 2010
End: January 31, 2013
completed
Participants
- H. Resit Akçakaya
- State University of New York (SUNY), Stony Brook
- Priyanga Amarasekare
- University of California, Los Angeles
- Stuart H.M. Butchart
- Birdlife International
- Jean F. Cochrane
- US Fish and Wildlife Service (FWS)
- Ben Collen
- Zoological Society of London
- Daniel F. Doak
- University of Wyoming
- Nicholas Dulvy
- Simon Fraser University
- Elizabeth E. Holmes
- NOAA, National Marine Fisheries Service (NMFS)
- Jeffrey A. Hutchings
- Dalhousie University
- Douglas A. Keinath
- University of Wyoming
- David A. Keith
- Dalhousie University
- Robert Lacy
- Chicago Zoological Society
- Georgina Mace
- Imperial College, London, Silwood Park Campus
- Marta Nammack
- NOAA, National Marine Fisheries Service (NMFS) Headquarters
- Michael K. Schwartz
- USDA Forest Service
- Andrew O. Shelton
- University of California, Santa Cruz
- Robin S. Waples
- NOAA, Northwest Fisheries Science Center
Products
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Dissertation or Thesis / 2012
Resource and Environmental Management, graduate student thesis for Faye d’Eon Eggertson, Supervised by Professors R Peterman and NK Dulvy, Simon Fraser University
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Journal Article / 2015
Reliable identification of declining populations in an uncertain world
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Presentations / 2012
What is the global status of fisheries? Let's ask the sharks
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Journal Article / 2014
Comment on the Endangered Species Act at 40
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Journal Article / 2012
Red flags: Correlates of impaired species recovery
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Journal Article / 2015
Temporal correlations in population trends: Conservation implications from time-series analysis of diverse animal taxa
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Journal Article / 2012
Maternal age, fecundity, egg quality, and recruitment: Linking stock structure to recruitment using an age-structured Ricker model
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Journal Article / 2015
Maternal age effects on Atlantic cod recruitment and implications for future population trajectories
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Journal Article / 2013
A tale of two acts: Endangered species listing practices in Canada and the United States
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Journal Article / 2014
Complexity is costly: A meta-analysis of parametric and non-parametric methods for short-term population forecasting
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Journal Article / 2014
Re-defining recovery: A generalized framework for assessing species recovery