2017
DOI: 10.1093/biosci/bix048
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Ecological Forecasting and the Science of Hypoxia in Chesapeake Bay

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Cited by 54 publications
(71 citation statements)
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“…http://scavia.seas. umich.edu/hypoxia-forecasts/), and advance public understanding and participation (Testa et al 2017). While that particular model is limited to systems that are strongly one-dimensional longitudinally, other regression-based and simple biophysical models originally calibrated to hypoxic area (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…http://scavia.seas. umich.edu/hypoxia-forecasts/), and advance public understanding and participation (Testa et al 2017). While that particular model is limited to systems that are strongly one-dimensional longitudinally, other regression-based and simple biophysical models originally calibrated to hypoxic area (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…Clear linkages in the production and consumption of these variables underscore their coupled changes in response to nutrient load reductions, temperature increases, and oxygen depletion. The most integrative alteration of a seasonal cycle we examined included a shift toward larger hypoxic volumes in spring-early summer and smaller volumes during late summerfall over the past 30 years (Murphy et al, 2011;Zhou et al, 2014;Testa et al, 2017). This springward shift in the maximum hypoxic volume did not correspond to significantly earlier hypoxia onset in the upper Bay (Figure 3), which has been shown to be strongly related to winter spring freshwater inputs and local bottom-water chlorophyll-a .…”
Section: Discussionmentioning
confidence: 98%
“…Numerous 3‐D numerical model implementations have been developed to study DO dynamics and hypoxia in the Chesapeake Bay (i.e., Cerco & Noel, ; Da et al, ; Feng et al, ; Irby et al, ; Li et al, ; Scully, ; Testa et al, ; Xia & Jiang, ) and have recently been compared and found to have similar skill in reproducing the mean and seasonal variability of DO (Irby et al, ). Here we used the implementation from Scully (), which is based on an implementation of the Regional Ocean Modeling System (ROMS) developed specifically for the Chesapeake Bay (ChesROMS; Xu et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…While the determination of whether a certain location experiences hypoxic conditions is relatively easy using modern instrumentation, quantifying the total volume of water experiencing hypoxic conditions is much more difficult. Accurately estimating the total amount of hypoxic volume (HV) integrated over the full year (i.e., the cumulative hypoxic volume [HV C ]) is even more challenging (Bever et al, ), yet is particularly critical for managers who need to determine whether management efforts, such as those aimed at reducing anthropogenic nutrient inputs, are resulting in an interannual trend of decreasing hypoxia (Anderson et al, ; Brady et al, ; Del Giudice et al, ; Irby et al, ; Scavia et al, ; Testa et al, ).…”
Section: Introductionmentioning
confidence: 99%