Modeling Fish Movement in 3-D in the Gulf of Mexico Hypoxic Zone

LaBone, Elizabeth; Justić, Dubravko; Rose, Kenneth A.; Wang, Lixia; Huang, Haosheng

doi:10.1007/s12237-019-00601-6

Cited by 9 publications

(19 citation statements)

References 62 publications

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“…Fish movement was simulated within the FVCOM-WASP grid by using a suite of algorithms that determined the velocities 110 of individual fish in the horizontal plane (u and v) for 2-D and additionally the vertical velocity (w) for the 3-D simulations LaBone et al, 2019). The changes in fish position were calculated by updating their previous time step's positions on the grid with the newly computed velocities to obtain the new positions of the fish (Watkins and Rose, 2013;Rose et al, 2014).…”

Section: Movement Algorithmsmentioning

confidence: 99%

“…The swimming speed and swimming angle were computed differently among the algorithms, and which algorithm to use was selected based 125 on the DO concentrations experienced by the fish. The collection of algorithms to model fish movement and exposure to DO were the same as used in previous analyses (LaBone et al, 2017(LaBone et al, , 2019.…”

Section: Movement Algorithmsmentioning

confidence: 99%

“…Croaker is an abundant demersal-oriented fish in coastal waters of the northern GOM, especially in coastal waters off of Louisiana where hypoxia occurs annually. Extensive laboratory and field data available for DO effects on croaker have been previously used to specify realistic values for movement-related parameters (Rose et al, 2018b, a;LaBone et al, 2017LaBone et al, , 2019 Exposure of all individuals was summarized over the 10 days for each fish by their cumulative exposure, which was calculated as the sum of the number of 15 minute time steps (expressed as days) each fish was exposed to DO less than 2 mg L -1 .…”

Section: Design Of Simulationsmentioning

confidence: 99%

“…Hypoxia can also affect the size, growth, energy demands, behavior of predators (Pollock et al, 2007;Breitburg et al, 2009) and the productivity, distribution, and composition of their zooplankton and benthic prey (Baustian et al, 2009;Levin et al, 2009;Roman et al, 2019). While effects on individuals have 70 been well documented in the laboratory under known and fixed exposures, major challenges remain to estimate exposure of fish to dynamically-changing DO in two and three dimensions (Rose et al, 2009;LaBone et al, 2019), and to translate these time-varying exposures to growth, mortality, and reproduction effects (Neilan and Rose, 2014).…”

mentioning

confidence: 99%

“…We have previously used the FVCOM-WASP model and added the capability to simulate the fine-scale movement of individual fish (Justić and Wang,80 2014; Rose et al, 2014). The same model set-up used here was previously used to compare the effects of different movement algorithms (LaBone et al, 2017) and 2-D versus 3-D avoidance movement on fish exposure to hypoxia (LaBone et al, 2019).…”

mentioning

confidence: 99%

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Effects of spatial variability on the exposure of fish to hypoxia: a modeling analysis for the Gulf of Mexico

LaBone¹,

Rose²,

Justić³

et al. 2020

Preprint

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The hypoxic zone in the northern Gulf of Mexico varies spatially (area, location) and temporally (onset, duration) on multiple scales. Exposure to hypoxic dissolved oxygen (DO) concentrations (< 2 mg L -1 ) is often lethal and exposure to 2 to 4 mg L -1 often causes the sublethal effects of decreased growth and fecundity on individuals of many fish species. We simulated the movement of individual fish within a high-resolution 3-D coupled hydrodynamic-water quality model (FVCOM-WASP) configured for the northern Gulf of Mexico to examine how spatial variability in DO concentrations would affect fish 5 exposure to hypoxic and sublethal DO concentrations. Eight static snapshots (spatial maps) of DO were selected from a 10 day FVCOM-WASP simulation that showed a range of spatial variation (degree of clumpiness) in sublethal DO area from moderate total sublethal area (4 maps) to high total sublethal area (4 maps). An additional case of allowing DO to vary in time (dynamic DO) was also included. All simulations were for 10 days and were performed for 2-D (bottom layer only) and 3-D (allows for vertical movement of fish) sets of maps. Fish movement was simulated every 15 minutes using one of 10 three algorithms designed for avoiding low DO exposure and a default algorithm not dependent on DO conditions. Fish were assumed to have either good or poor avoidance competencies. Cumulative exposure of individuals to hypoxia was higher under the high sublethal area snapshots compared to the moderate sublethal area snapshots. The effects of different degrees of spatial variability on hypoxia exposure were small. Despite the differences in exposure to hypoxia with good versus poor competency, both resulted in relatively high exposures to sublethal DO concentrations. Spatial variability in DO had opposite effects on 15 sublethal exposure between moderate and high sublethal area maps: the percentage of fish exposed to 2-3 mg L -1 decreased with increasing variability for high sublethal area but increased for moderate sublethal area. There was a substantial interindividual variability in exposure to hypoxic and sublethal DO that, when combined with spatial variability in DO, can result in underestimation of sublethal effects (e.g., growth) when exposure of individuals is averaged by spatial cells. By following hundreds of thousands of individuals over multiple generations within 3-D hydrodynamic-water quality models, we aim to 20 predict fish population-level responses to hypoxia under management actions designed to reduce nutrient inputs.

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Section: Movement Algorithmsmentioning

confidence: 99%

Section: Movement Algorithmsmentioning

confidence: 99%

Section: Design Of Simulationsmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Effects of spatial variability on the exposure of fish to hypoxia: a modeling analysis for the Gulf of Mexico

LaBone¹,

Rose²,

Justić³

et al. 2020

Preprint

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Distributive stress: individually variable responses to hypoxia expand trophic niches in fish

Steube

Altenritter

Walther

2021

Ecology

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Environmental stress can reshape trophic interactions by excluding predators or rendering prey vulnerable, depending on the relative sensitivity of species to the stressor. Classical models of food web responses to stress predict either complete predator exclusion from stressed areas or complete prey vulnerability if predators are stress tolerant. However, if the consumer response to the stress is individually variable, the result may be a distributive stress model (DSM) whereby predators distribute consumption pressure across a range of prey guilds and their trophic niche is expanded. We test these models in one of the largest hypoxic “Dead Zones” in the world, the northern Gulf of Mexico, by combining geochemical tracers of hypoxia exposure and isotope ratios to assess individual‐level trophic responses. Hypoxia‐exposed fish occupied niche widths that were 14.8% and 400% larger than their normoxic counterparts in two different years, consistent with variable displacement from benthic to pelagic food webs. The degree of isotopic displacement depended on the magnitude of hypoxia exposure. These results are consistent with the DSM and highlight the need to account for individually variable sublethal effects when predicting community responses to environmental stress.

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The influence of hypoxia on the cardiac transcriptomes of two estuarine species - C. variegatus and F. grandis

Allmon

Serafin

Chen

et al. 2021

Comparative Biochemistry and Physiology Part D: Genomics and Pr

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Modeling Fish Movement in 3-D in the Gulf of Mexico Hypoxic Zone

Cited by 9 publications

References 62 publications

Effects of spatial variability on the exposure of fish to hypoxia: a modeling analysis for the Gulf of Mexico

Effects of spatial variability on the exposure of fish to hypoxia: a modeling analysis for the Gulf of Mexico

Distributive stress: individually variable responses to hypoxia expand trophic niches in fish

The influence of hypoxia on the cardiac transcriptomes of two estuarine species - C. variegatus and F. grandis

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