Modeling regional variation in riverine fish biodiversity in the Arkansas-White-Red River basin

Schweizer, Peter E; Jager, Yetta

doi:10.1080/00028487.2011.618354

Title: Modeling regional variation in riverine fish biodiversity in the Arkansas-White-Red River basin

Full Record
Other Related Research

Abstract

The patterns of biodiversity in freshwater systems are shaped by biogeography, environmental gradients, and human-induced factors. In this study, we developed empirical models to explain fish species richness in subbasins of the Arkansas White Red River basin as a function of discharge, elevation, climate, land cover, water quality, dams, and longitudinal position. We used information-theoretic criteria to compare generalized linear mixed models and identified well-supported models. Subbasin attributes that were retained as predictors included discharge, elevation, number of downstream dams, percent forest, percent shrubland, nitrate, total phosphorus, and sediment. The random component of our models, which assumed a negative binomial distribution, included spatial correlation within larger river basins and overdispersed residual variance. This study differs from previous biodiversity modeling efforts in several ways. First, obtaining likelihoods for negative binomial mixed models, and thereby avoiding reliance on quasi-likelihoods, has only recently become practical. We found the ranking of models based on these likelihood estimates to be more believable than that produced using quasi-likelihoods. Second, because we had access to a regional-scale watershed model for this river basin, we were able to include model-estimated water quality attributes as predictors. Thus, the resulting models have potential value as tools with which to evaluatemore »« less

Authors:

Schweizer, Peter E ^[1]; Jager, Yetta ^[1]

ORNL

Publication Date:: Sat Jan 01 00:00:00 EST 2011

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI Identifier:: 1031518

DOE Contract Number:: DE-AC05-00OR22725

Resource Type:: Journal Article

Journal Name:: Transactions of the American Fisheries Society

Additional Journal Information:: Journal Volume: 140; Journal Issue: 5; Journal ID: ISSN 0002-8487

Country of Publication:: United States

Language:: English

Subject:: 13 HYDRO ENERGY; DAMS; DISTRIBUTION; PHOSPHORUS; RIVERS; SIMULATION; SPECIES DIVERSITY; WATER QUALITY; WATERSHEDS; FISHES; fish species richness; environmental gradients; land cover influence; water quality

Citation Formats


                    Schweizer, Peter E, and Jager, Yetta. Modeling regional variation in riverine fish biodiversity in the Arkansas-White-Red River basin.  United States: N. p., 2011. 
        Web.  doi:10.1080/00028487.2011.618354.

Copy to clipboard


                    Schweizer, Peter E, & Jager, Yetta. Modeling regional variation in riverine fish biodiversity in the Arkansas-White-Red River basin.  United States.  https://doi.org/10.1080/00028487.2011.618354

Copy to clipboard


                    Schweizer, Peter E, and Jager, Yetta. 2011.  
        "Modeling regional variation in riverine fish biodiversity in the Arkansas-White-Red River basin".  United States.  https://doi.org/10.1080/00028487.2011.618354.

Copy to clipboard


                    
@article{osti_1031518,

  title        = {Modeling regional variation in riverine fish biodiversity in the Arkansas-White-Red River basin},

  author       = {Schweizer, Peter E and Jager, Yetta},

  abstractNote = {The patterns of biodiversity in freshwater systems are shaped by biogeography, environmental gradients, and human-induced factors. In this study, we developed empirical models to explain fish species richness in subbasins of the Arkansas White Red River basin as a function of discharge, elevation, climate, land cover, water quality, dams, and longitudinal position. We used information-theoretic criteria to compare generalized linear mixed models and identified well-supported models. Subbasin attributes that were retained as predictors included discharge, elevation, number of downstream dams, percent forest, percent shrubland, nitrate, total phosphorus, and sediment. The random component of our models, which assumed a negative binomial distribution, included spatial correlation within larger river basins and overdispersed residual variance. This study differs from previous biodiversity modeling efforts in several ways. First, obtaining likelihoods for negative binomial mixed models, and thereby avoiding reliance on quasi-likelihoods, has only recently become practical. We found the ranking of models based on these likelihood estimates to be more believable than that produced using quasi-likelihoods. Second, because we had access to a regional-scale watershed model for this river basin, we were able to include model-estimated water quality attributes as predictors. Thus, the resulting models have potential value as tools with which to evaluate the benefits of water quality improvements to fish.},

  doi          = {10.1080/00028487.2011.618354},

  url          = {https://www.osti.gov/biblio/1031518},
  journal      = {Transactions of the American Fisheries Society},

  issn         = {0002-8487},

  number       = 5,

  volume       = 140,

  place        = {United States},

  year         = {Sat Jan 01 00:00:00 EST 2011},

  month        = {Sat Jan 01 00:00:00 EST 2011}

}

Copy to clipboard

Journal Article:

https://doi.org/10.1080/00028487.2011.618354

Other availability

Find in Google Scholar

Search WorldCat to find libraries that may hold this journal

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

How Does Flow Alteration Propagate Across a Large, Highly Regulated Basin? Dam Attributes, Network Context, and Implications for Biodiversity

Journal Article Ruhi, Albert; Hwang, Jeongwoo; Devineni, Naresh; ... - Earth's Future

Abstract Large dams are a leading cause of river ecosystem degradation. Although dams have cumulative effects as water flows downstream in a river network, most flow alteration research has focused on local impacts of single dams. Here we examined the highly regulated Colorado River Basin (CRB) to understand how flow alteration propagates in river networks, as influenced by the location and characteristics of dams as well as the structure of the river network—including the presence of tributaries. We used a spatial Markov network model informed by 117 upstream‐downstream pairs of monthly flow series (2003–2017) to estimate flow alteration from 84more »« less
https://doi.org/10.1029/2021EF002490
PREDICTION OF TOTAL DISSOLVED GAS EXCHANGE AT HYDROPOWER DAMS

Technical Report Hadjerioua, Boualem; Pasha, MD; Stewart, Kevin; ...

Total dissolved gas (TDG) supersaturation in waters released at hydropower dams can cause gas bubble trauma in fisheries resulting in physical injuries and eyeball protrusion that can lead to mortality. Elevated TDG pressures in hydropower releases are generally caused by the entrainment of air in spillway releases and the subsequent exchange of atmospheric gasses into solution during passage through the stilling basin. The network of dams throughout the Columbia River Basin (CRB) are managed for irrigation, hydropower production, flood control, navigation, and fish passage that frequently result in both voluntary and involuntary spillway releases. These dam operations are constrained bymore »« less
https://doi.org/10.2172/1050299

Full Text Available
Habitat Evaluation Procedures (HEP) Report : Malheur River Wildlife Mitigation, 2000-2002 Technical Report.

Technical Report Gonzalez, Daniel; Wenick, Jess

The development of hydropower systems within the Columbia and Snake River basins has affected a tremendous amount of fish and wildlife species. The dams have played a major role in the rapid extinction of anadromous runs of salmon and steelhead as well as other native salmonids. Inundation of these dams and the construction of reservoirs for irrigation have also severely impacted wildlife species. In some cases, fluctuating water levels caused by dam and reservoir operations have created barren vegetation zones that expose wildlife to predation and a reduction in recruitment. In association with hydropower activities, secondary impacts have also challengedmore »« less
https://doi.org/10.2172/945040

Full Text Available
Evaluate Status of Pacific Lamprey in the Clearwater River Drainage, Idaho : Annual Report 2000.

Technical Report Cochnauer, Tim; Claire, Christopher

Recent decline of Pacific lamprey Lampetra tridentata adult migrants to the Snake River drainage has focused attention on the species. Adult returns in 1995-1999 were more than ten magnitudes less than returns in the early 1960's. Human activities in the Snake River and Clearwater River drainages have altered ecosystem habitat in the last 100 years and likely the productive potential of Pacific lamprey habitat. Logging, stream impoundment, road construction, grazing, mining, and community development have dominated habitat alteration in the Clearwater River system and Snake River corridor. Hydroelectric projects in the Snake River corridor impact juvenile Pacific lamprey outmigrants andmore »« less
https://doi.org/10.2172/781908

Full Text Available
Prediction of Total Dissolved Gas (TDG) at Hydropower Dams throughout the Columbia

Conference Pasha, MD; Hadjerioua, Boualem; Stewart, Kevin; ...

The network of dams throughout the Columbia River Basin (CRB) are managed for irrigation, hydropower production, flood control, navigation, and fish passage that frequently result in both voluntary and involuntary spillway releases. The entrainment of air in spillway releases and the subsequent exchange of atmospheric gasses into solution during passage through the stilling basin cause elevated levels of total dissolved gas (TDG) saturation. Physical processes that affect TDG exchange at hydropower facilities have been characterized throughout the CRB in site-specific studies and at real-time water quality monitoring stations. These data have been used to develop predictive models of TDG exchangemore »« less

Similar Records