2017
DOI: 10.1007/s12237-017-0267-5
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Modeling the Population Effects of Hypoxia on Atlantic Croaker (Micropogonias undulatus) in the Northwestern Gulf of Mexico: Part 2—Realistic Hypoxia and Eutrophication

Abstract: Quantifying the population-level effects of hypoxia on coastal fish species has been challenging. In the companion paper (part 1), we described an individual-based population model (IBM) for Atlantic croaker in the northwestern Gulf of Mexico (NWGOM) designed to quantify the long-term population responses to low dissolved oxygen (DO) concentrations during the summer. Here in part 2, we replace the idealized hypoxia conditions with realistic DO concentrations generated from a 3-dimensional water quality model. … Show more

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Cited by 16 publications
(20 citation statements)
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References 106 publications
(146 reference statements)
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“…When we combine the results presented here and the results in the companion paper (Rose et al 2017a), we conclude that the long-term effect of hypoxia on croaker is about 25% decrease in abundance. We based this on the results presented here for the time series simulations that showed an 11% decrease.…”
Section: Discussion Hypoxia Effectssupporting
confidence: 52%
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“…When we combine the results presented here and the results in the companion paper (Rose et al 2017a), we conclude that the long-term effect of hypoxia on croaker is about 25% decrease in abundance. We based this on the results presented here for the time series simulations that showed an 11% decrease.…”
Section: Discussion Hypoxia Effectssupporting
confidence: 52%
“…However, the approach is ideal for isolating any potential populationlevel effects of hypoxia, which would then provide a minimum estimate of population effects and also provide information on the types of responses to be expected within the model and therefore easier to detect and quantify as more and more realistic conditions are added to the population model. In a companion paper (Rose et al 2017a), we explore population responses of croaker under increased variability by using DO output from a hydrodynamics-water quality model, perform sensitivity analysis that varies some key model assumptions and values of inputs, and also perform simulations that also couple the severity of hypoxia to the availability of food for croaker. In a third paper (Rose et al 2017b), we impose interannual variability on the simulated croaker population response to hypoxia to evaluate the ability of field sampling to detect a known population-level effect.…”
Section: Discussion Hypoxia Effectsmentioning
confidence: 99%
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