Hydrogeology and simulated groundwater flow and availability in the North Fork Red River aquifer, southwest Oklahoma, 1980–2013

Smith, S. Jerrod; Ellis, J.; Wagner, Derrick L.; Peterson, Steven M.

doi:10.3133/sir20175098

Cited by 8 publications

(6 citation statements)

References 18 publications

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“…The study period was divided into a relatively wet climatic period (hereafter 'wet period ', 1982-2001) and a relatively dry climatic period (hereafter 'dry period ', 2002-2014) based on annual precipitation in the upper Red River catchment (see Figure 3 of Smith et al, 2017). The periods provided an ecologically meaningful division of time (as opposed to a cut-off based on an arbitrary length of time).…”

Section: Climatic Periods and Surveysmentioning

confidence: 99%

Connectivity and flow regime direct conservation priorities for pelagophil fishes

Mollenhauer

Brewer

Perkin

et al. 2021

Aquatic Conservation

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1. Dam construction threatens global aquatic biodiversity by fragmenting stream networks and altering flow regimes. The negative effects of dams are exacerbated by increased drought periods and associated water withdrawals, especially in semi-arid regions. Stream fishes are particularly threatened owing to their mobile nature and requirement for multiple habitats to complete their life cycles. An understanding of relationships with fragmentation and flow regimes, particularly as coarse-scale (e.g. catchment) constraints on species distributions, is essential for stream fish conservation strategies. Prairie chub (Macrhybopsis australis) is a small-bodied minnow (Cyprinidae) with poorly understood ecology endemic to the North American Great Plains.Suspected declines in abundance and extirpations have resulted in conservation interest for prairie chub at state and federal levels. Prairie chub is thought to share its reproductive strategy with pelagic-broadcast spawning minnows (pelagophils). Freshwater pelagic-broadcast spawning fishes have been disproportionately affected by fragmentation and streamflow alteration globally.3. Relationships of prairie chub occurrence with coarse-scale fragmentation and streamflow metrics were examined in the upper Red River catchment. Occurrence probability was modelled using existing survey data, while accounting for variable detection. The modelled relationships were used to project the distribution of prairie chub in both a wet and dry climatic period.4. The probability of prairie chub occurrence was essentially zero at sites with higher densities of upstream dams, but increased sharply with increases in flow magnitude, downstream open mainstem, and flood duration. The projected distribution of prairie chub was broader than indicated by naïve occurrence, but similar in both climatic periods. The occurrence relationships are consistent with the hypotheses of pelagic broadcast spawning and represent coarse-scale constraints that are useful for identifying areas of the stream network with higher potential for finer-scale prairie chub conservation and recovery efforts. In addition to informing pelagophil conservation, the relationships are also applicable to pelagic-broadcast spawning fishes in marine environments.

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Section: Climatic Periods and Surveysmentioning

confidence: 99%

Connectivity and flow regime direct conservation priorities for pelagophil fishes

Mollenhauer

Brewer

Perkin

et al. 2021

Aquatic Conservation

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“…The period in which we modelled discharge included two wet periods (i.e., 1994-2001 and 2007-2009) and two relatively short dry periods (i.e., 2002-2006Smith, Ellis, Wagner, & Peterson, 2017). In contrast, the flow metrics that we calculated describing the timing of flows generally had a high level of prediction accuracy at both the daily and monthly time step.…”

Section: Discussionmentioning

confidence: 95%

“…The lack of correspondence may represent the need for a longer data time series that captures extreme events (floods and droughts), which are typically less common (Kennard et al, ). The period in which we modelled discharge included two wet periods (i.e., 1994–2001 and 2007–2009) and two relatively short dry periods (i.e., 2002–2006 and 2010–2013; Smith, Ellis, Wagner, & Peterson, ). In contrast, the flow metrics that we calculated describing the timing of flows generally had a high level of prediction accuracy at both the daily and monthly time step.…”

Section: Discussionmentioning

confidence: 99%

The accuracy of ecological flow metrics derived using a physics‐based distributed rainfall–runoff model in the Great Plains, USA

et al. 2019

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The development of a hydrologic foundation, essential for advancing our understanding of flow‐ecology relationships, was developed using the high‐resolution physics‐based distributed rainfall–runoff model Vflo in a semi‐arid region. We compared the accuracy and bias associated with flow metrics that were generated using Vflo, gauge data, and drainage area ratios at both a daily and monthly time step in the Canadian River basin, USA. First, we calibrated and applied bias correction to the Vflo model to simulate streamflow at ungauged catchment locations. Next, flow metrics were calculated using simulated and observed data from stream gauge locations. We found discharge predictions using Vflo were more accurate than drainage area ratios. General correspondence between predicted discharge and the gauge data was apparent; however, flow metrics calculated using the Vflo output did not accurately represent flow variability. Results from the Vflo model showed systematic discharge over‐predictions in the upper basin and isolated over‐predictions in the lower basin, likely due to hail events and sparse rainfall data across the large catchment. Goodness‐of‐fit statistics (Nash–Sutcliffe efficiency, root‐mean square error, and the coefficient of variation) indicated the drainage area ratio and Vflo were more accurate at a monthly rather than daily time step, even after quantile mapping. This finding limits the number of streamflow metrics available to develop ecological models, but more importantly, the coarser resolution may hinder our understanding of ecological processes that occur at a submonthly time step. Our approach provides a framework for selecting flow metrics that best represent hydrologic patterns across a large semi‐arid catchment with the necessary accuracy to address the ecological questions of interest.

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“…We divided the study years into relatively wet (1980–1998) and relatively dry (1999–2014) climatic periods (hereafter period one and period two). The periods were determined with a lowess smoothing line (Cleveland, 1979) in the software Python (version 2.7.10, https://www.python.org/) using precipitation records from 1895 to 2015 (Smith et al, 2017). We used data from Oklahoma climate division eight (Oklahoma Climatological Survey, 2020) to represent the study area because it was centrally located.…”

Section: Methodsmentioning

confidence: 99%

“…We divided the study years into relatively wet (1980)(1981)(1982)(1983)(1984)(1985)(1986)(1987)(1988)(1989)(1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998) and relatively dry (1999-2014) climatic periods (hereafter period one and period two). The periods were determined with a lowess smoothing line (Cleveland, 1979) in the software Python (version 2.7.10, https://www.python.org/) using precipitation records from 1895 to 2015 (Smith et al, 2017).…”

Section: Climatic Periods and Fish Surveysmentioning

confidence: 99%

Increased landscape disturbance and streamflow variability threaten fish biodiversity in the Red River catchment, USA

Mollenhauer

Mouser

Roland

et al. 2022

Diversity and Distributions

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Aim Stream fish distributions are hypothesized to be strongly associated with landscape characteristics at multiple scales. Variation in flow regimes and intensity of landscape disturbance are associated with stream fish distributions; however, relationships are poorly understood in many high‐diversity regions. Our objective was to identify occurrence relationships between fish distributions and streamflow and landscape characteristics in the south‐central United States. Location Our study area was the central Red River catchment in Oklahoma, Texas and Arkansas, USA. Methods We used existing fish surveys to model the occurrence of a diverse, warmwater assemblage among hydraulic response units (HRUs). We used multispecies occupancy modelling to identify variation in occurrence probability among 111 stream fishes in relation to landscape disturbance and flow regime characteristics. Results We found occurrence relationships with landscape disturbance and 11 metrics comprising all flow‐regime components. The relationships varied within both major species groups and some genera. Frequency and duration were the most common metrics underlying flow regime relationships. More common stream fishes tended to be positively associated with higher levels of landscape disturbance and flow regime metrics representing variability; conversely, narrow‐ranged fishes tended to be negatively associated. Occurrence relationships with flow metrics representing high‐flow events were predominately negative. As expected, many species were strongly associated with ecoregion with landscape disturbance and flow relationships held constant. Main conclusions Our study informs land use and water management decisions and stream fish conservation at multiple spatial scales. Collectively, the findings suggest potential homogenization of the Red River fish assemblage with increased landscape disturbance and streamflow variability. A reduction in landscape disturbance and maintenance of natural flow patterns at coarser scales may benefit endemic and narrow‐ranged fishes. Our findings also help guide finer‐scale land use and water management decisions by identifying stream network areas with a high occurrence probability of less tolerant fishes.

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Hydrogeology and simulated groundwater flow and availability in the North Fork Red River aquifer, southwest Oklahoma, 1980–2013

Cited by 8 publications

References 18 publications

Connectivity and flow regime direct conservation priorities for pelagophil fishes

Connectivity and flow regime direct conservation priorities for pelagophil fishes

The accuracy of ecological flow metrics derived using a physics‐based distributed rainfall–runoff model in the Great Plains, USA

Increased landscape disturbance and streamflow variability threaten fish biodiversity in the Red River catchment, USA

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