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Spatial-dynamics of Hypoxia and Fisheries: The Case of Gulf of Mexico Brown Shrimp

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  • Martin D. Smith
  • Frank Asche
  • Lori S. Bennear
  • Atle Oglend

Abstract

We analyze the Gulf of Mexico brown shrimp fishery and the potential impacts of a large seasonal area of hypoxia (low dissolved oxygen) that coincides with the peak shrimp season. A spatial-dynamic bioeconomic simulation embeds three biological impacts on shrimp: mortality, growth, and aggregation on hypoxic edges. Hypoxia creates feedbacks in the bioeconomic system, altering catch and effort patterns. System changes propagate over space to affect areas that do not experience hypoxia. Areas that might otherwise be considered controls in a natural experiments framework are contaminated by the ecological disturbance through spatial sorting. Aggregate predictions from simulations are similar to empirical fishery data. Average shrimp size and total landings are negatively correlated, as are hypoxic severity and landings. Shrimp size and hypoxic severity are only weakly negatively correlated. Growth overfishing, which varies with recruitment success and ecological disturbances, is a key mediating effect.

Suggested Citation

  • Martin D. Smith & Frank Asche & Lori S. Bennear & Atle Oglend, 2014. "Spatial-dynamics of Hypoxia and Fisheries: The Case of Gulf of Mexico Brown Shrimp," Marine Resource Economics, University of Chicago Press, vol. 29(2), pages 111-131.
  • Handle: RePEc:ucp:mresec:doi:10.1086/676826
    DOI: 10.1086/676826
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    References listed on IDEAS

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    1. Auffhammer, Maximilian & Bento, Antonio M. & Lowe, Scott E., 2009. "Measuring the effects of the Clean Air Act Amendments on ambient PM10 concentrations: The critical importance of a spatially disaggregated analysis," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 15-26, July.
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    Cited by:

    1. Dépalle, Maxime & Sanchirico, James N. & Thébaud, Olivier & O’Farrell, Shay & Haynie, Alan C. & Perruso, Larry, 2021. "Scale-dependency in discrete choice models: A fishery application," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    2. Marshall, Elizabeth & Aillery, Marcel & Ribaudo, Marc & Key, Nigel & Sneeringer, Stacy & Hansen, LeRoy & Malcolm, Scott & Riddle, Anne, 2018. "Reducing Nutrient Losses From Cropland in the Mississippi/Atchafalaya River Basin: Cost Efficiency and Regional Distribution," Economic Research Report 277567, United States Department of Agriculture, Economic Research Service.
    3. Nielsen, Rasmus & Hoff, Ayoe & Waldo, Staffan & Hammarlund, Cecilia & Virtanen, Jarno, 2019. "Fishing for nutrients – economic effects of fisheries management targeting eutrophication in the Baltic Sea," Ecological Economics, Elsevier, vol. 160(C), pages 156-167.

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