Publication Date:
2002-11-09
Description:
Methods of risk assessment for alien species, especially for nonagricultural systems, are largely qualitative. Using a generalizable risk assessment approach and statistical models of fish introductions into the Great Lakes, North America, we developed a quantitative approach to target prevention efforts on species most likely to cause damage. Models correctly categorized established, quickly spreading, and nuisance fishes with 87 to 94% accuracy. We then identified fishes that pose a high risk to the Great Lakes if introduced from unintentional (ballast water) or intentional pathways (sport, pet, bait, and aquaculture industries).〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kolar, Cynthia S -- Lodge, David M -- New York, N.Y. -- Science. 2002 Nov 8;298(5596):1233-6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA. ckolar@usgs.gov〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12424378" target="_blank"〉PubMed〈/a〉
Keywords:
Adaptation, Physiological
;
Analysis of Variance
;
Animals
;
Conservation of Natural Resources
;
Discriminant Analysis
;
*Ecology
;
*Ecosystem
;
*Environment
;
*Fishes/growth & development/physiology
;
Forecasting
;
Models, Biological
;
*Models, Statistical
;
Multivariate Analysis
;
Regression Analysis
;
Risk Assessment
;
Seawater
;
Sodium Chloride
;
Temperature
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
