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National Center for Ecological Analysis and Synthesis

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.
Working Group Participants

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
Nick 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

  1. 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

  2. Journal Article / 2015

    Reliable identification of declining populations in an uncertain world

  3. Presentations / 2012

    What is the global status of fisheries? Let's ask the sharks

  4. Journal Article / 2014

    Comment on the Endangered Species Act at 40

  5. Journal Article / 2012

    Red flags: Correlates of impaired species recovery

  6. Journal Article / 2015

    Temporal correlations in population trends: Conservation implications from time-series analysis of diverse animal taxa

  7. Journal Article / 2012

    Maternal age, fecundity, egg quality, and recruitment: Linking stock structure to recruitment using an age-structured Ricker model

  8. Journal Article / 2015

    Maternal age effects on Atlantic cod recruitment and implications for future population trajectories

  9. Journal Article / 2013

    A tale of two acts: Endangered species listing practices in Canada and the United States

  10. Journal Article / 2014

    Complexity is costly: A meta-analysis of parametric and non-parametric methods for short-term population forecasting

  11. Journal Article / 2014

    Re-defining recovery: A generalized framework for assessing species recovery

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