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AuthorWei, Chih-Lin
AuthorRowe, Gilbert T.
AuthorEscobar-Briones, Elva
AuthorNunnally, Clifton
AuthorSoliman, Yousria
AuthorEllis, Nick
Available date2024-03-10T06:59:00Z
Publication Date2012
Publication NameDeep-Sea Research Part I: Oceanographic Research Papers
ResourceScopus
ISSN9670637
URIhttp://dx.doi.org/10.1016/j.dsr.2012.07.008
URIhttp://hdl.handle.net/10576/52832
AbstractA composite database encompassing 6 benthic surveys from years 1983 to 2003 was constructed to evaluate the distribution of macrofaunal biomass in the deep Gulf of Mexico (GoM) prior to the Deepwater Horizon oil spill. Predictive models based on optimal scaling of ocean color data and high resolution bathymetry were employed to map the benthic biomass in the vicinity of spill site because no previous sampling had been conducted at that exact location. The predicted biomass declines with water and mixed layer depth and is an increasing function of surface primary production and temporal variation of sea surface temperature. The decline of animal size with depth, however, was a function of a shift of dominant abundance from large to small taxa. At a local scale, high benthic biomass in the N GoM was associated with the enhanced productivity by the nutrient-laden Mississippi River outflows, offshore transport of the river plumes, and upwelling along the northern edge of the Loop Current. The apparent biomass enhancement at the Mississippi and De Soto Canyon and deep sediment fan was presumably related to lateral down-slope advection of organic carbon from the surrounding continental margin. Except for the Campeche Bank, the meager biomass of the Mexican margin may reflect the characteristic low-productivity Caribbean water that enters the GoM through Yucatan Strait. Benthic biomass in the N GoM was not statistically different between comprehensive surveys in the years 1983-1985 and 2000-2002. The stock assessment and biomass predictions from 669 cores at 170 locations throughout the deep GoM provide an important baseline of the sediment-dwelling fauna that may be subjected to immediate or long-term impacts from the oil spill or from climate change.
SponsorWe thank Fain Hubbard who participated in the original NGoMCS study as a graduate student and oversaw the day-to-day DGoMB macrofauna sorting activity. He passed away shortly after completion of the DGoMB project; however, his influence and imprint has been long recognized in the numerous publications on the deep GoM benthos. We also thank Archie Ammons, Lindsey Loughry, Min Chen, Matt Ziegler, Xiaojia Chen, and Yuning Wang for many hours at sea and sample sorting in the TAMU lab. We are grateful to Jay Rooker, Dan Thornton, Antonietta Quigg, Andy Gooday, Paul Snelgrove, Ryan Stanley, and four anonymous reviewers for their invaluable discussions with C-L Wei, as well as comments and suggestions on the manuscript. We also thank Michele Durand for managing the CoML Fresh Biomass Synthesis Project. The NGoMCS and DGoMB study were funded by the US Department of Interior, Minerals Management Service (Contract 30991), now Bureau of Ocean Energy Management (BOEM). The UNAM field work was supported by Factores que definen la variabilidad de la diversidad biol�gica y biomasa b�ntica en el mar profundo del Golfo de M�xico Convocatoria del Programa de Apoyo a Proyectos de Investigaci�n e Innovaci�n Tecnol�gica (PAPIIT IN207410). This paper is a contribution of the Continental Margin Ecosystems (COMARGE) and Cross-Project Synthesis of the Census of Marine Life (CoML) supported by the Alfred P. Sloan Foundation. Data analyses were partly supported by Canadian Healthy Oceans Network (CHONe) through a fellowship to C-L Wei.
Languageen
PublisherElsevier
SubjectBody size
Deep-sea
Deepwater Horizon oil spill
Export POC flux
Gulf of Mexico
Macrofauna
Mississippi Canyon
Ocean color
Primary production
Random Forest modeling
Remote sensing
Standing stock
TitleStanding stocks and body size of deep-sea macrofauna: Predicting the baseline of 2010 Deepwater Horizon oil spill in the northern Gulf of Mexico
TypeArticle
Pagination82-99
Volume Number69
dc.accessType Abstract Only


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