Hypoxia-induced habitat shifts and energetic consequences in Atlantic croaker and brown shrimp on the Gulf of Mexico shelf
By J. Craig, LB Crowder. 2005
187 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/c71bec2637f73da9cf91723d59cf1183be201c15
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In Global and Planetary Change
In Nature and Landscape Conservation
Citations in the corpus
- Biomarkers of hypoxia exposure and reproductive function in Atlantic croaker: a review with some preliminary findings from the northern Gulf of Mexico hypoxic zone. (2009, background): “Fish inhabiting many estuaries and coastal regions are exposed to periods of chronic or intermittent hypoxia during the summermonths (Grantham et al., 2004; Craig and Crowder, 2005).”
- Hypoxia affects spatial distributions and overlap of pelagic fish, zooplankton, and phytoplankton in Lake Erie (2009, unknown): “For example, Craig and Crowder (2005) found that Atlantic croaker (Micropogonias undulatus) avoid hypoxic areas in the northern Gulf of Mexico by aggregating at both nearshore and offshore edges of the hypoxic zone.”
- Introduction to Environmental and Economic Consequences of Hypoxia (2011, background): “Aggregation of demersal predators on the edge of dead zones may be a combination of responses that include flight from physiological stress and trophic advantage (Craig & Crowder, 2005 ).”
- Short-term effects of a prolonged blackwater event on aquatic fauna in the Murray River, Australia: considerations for future events (2012, background): “Similar congregations of fish and shrimp along a blackwater front have been recorded in the Gulf of Mexico (Craig and Crowder 2005; Craig et al. 2005).”
- Aggregation on the edge: effects of hypoxia avoidance on the spatial distribution of brown shrimp and demersal fishes in the Northern Gulf of Mexico (2012, methodology): “…discernable pattern in regional or gulf-wide abundance indices that can be attributed to hypoxia or other single stressors, though the power to detect such effects with aggregate monitoring data is undoubtedly low (Diaz & Solow 1999, Chesney et al. 2000, Craig et al. 2005, Cowan et al. 2008).”