BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:The application of species distribution models to IUCN Red List as
 sessments: an evaluation - Mindy Syfert
DTSTART:20120517T153000Z
DTEND:20120517T160000Z
UID:TALK36396@talks.cam.ac.uk
CONTACT:Suzy Stoodley
DESCRIPTION:International Union for Conservation of Nature (IUCN) Red List
  assessments\, which document the risk of extinction for a wide range of t
 axa across the globe\, are a key component of conservation planning. Chara
 cterising the geographic range of species is central to Red List assessmen
 ts. Ranges have traditionally been quantified by either drawing polygons a
 round the georeferenced specimen locations (extent of occurrence\, EOO) or
  by summing up the coarse pixels in which the species are known to occur (
 area of occupancy\, AOO). Models predicting current and future patterns in
  the geographic range of species (species distribution models\, SDMs) are 
 now widely used in ecological and conservation research\, but the utility 
 of SDMs for informing Red List assessments is virtually unexplored. We the
 refore compared range measures derived from SDMs (based on threshold proba
 bilities of occurrence) to IUCN-accepted range measures based on field obs
 ervations of the locations of 30 species occurring in Costa Rica and Panam
 a. We find that SDMs often predict similar ranges to those estimated by st
 andard EOO methods\, but give very different results to those obtained by 
 AOO methods. The benefits of using SDMs in assessing species’ geographic
  range for Red List assessments are that the map predictions help identify
  whether there are unexplored areas that may potentially be part of a spec
 ies’ range.
LOCATION:Department of Plant Sciences\, Large Lecture Theatre
END:VEVENT
END:VCALENDAR