Better science needed for restoration in the Gulf of Mexico

Bjorndal, Karen A., Bowen, Brian W., Chaloupka, Milani, Crowder, Larry B., Heppell, Selina S., Jones, Cynthia M., Lutcavage, Molly E., Policansky, David, Solow, Andrew R. and Witherington, Blair E. (2011) Better science needed for restoration in the Gulf of Mexico. Science, 331 6017: 537-538. doi:10.1126/science.1199935

Author Bjorndal, Karen A.
Bowen, Brian W.
Chaloupka, Milani
Crowder, Larry B.
Heppell, Selina S.
Jones, Cynthia M.
Lutcavage, Molly E.
Policansky, David
Solow, Andrew R.
Witherington, Blair E.
Title Better science needed for restoration in the Gulf of Mexico
Journal name Science   Check publisher's open access policy
ISSN 0036-8075
Publication date 2011-02
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1126/science.1199935
Volume 331
Issue 6017
Start page 537
End page 538
Total pages 2
Place of publication Washington DC, United States
Publisher American Association for the Advancement of Science
Collection year 2012
Language eng
Abstract The 2010 BP Deepwater Horizon oil spill in the Gulf of Mexico (GoM) has damaged marine ecosystems and jeopardized endangered and commercial species under U.S. jurisdiction (see the figure). Agencies that manage protected species—including the U.S. National Marine Fisheries Service and the U.S. Fish and Wildlife Service—are tasked with recovering these populations. But many populations have not been adequately assessed, so recovery cannot be measured. Achieving mandated recovery goals depends on understanding both population trends and the demographic processes that drive those trends. After the 1989 Exxon Valdez Alaskan oil spill, evaluations of effects on wildlife were ambiguous, in part because limited data on abundance and demography precluded detection of change (1). Sadly, the situation in the GoM is similar more than 20 years later. As concluded in the National Commission report on the BP spill (2) released 11 January, “Scientists simply do not yet know how to predict the ecological consequences and effects on key species that might result from oil exposure…” We argue that scientists know how to make these assessments, but lack critical data to achieve this goal.
Keyword Loggerhead sea-turtle
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Official 2012 Collection
School of Biological Sciences Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 23 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 28 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sun, 20 Feb 2011, 00:00:37 EST