Literature DB >> 18483771

A bioassessment approach for mid-continent great rivers: the Upper Mississippi, Missouri, and Ohio (USA).

T R Angradi1, D W Bolgrien, T M Jicha, M S Pearson, B H Hill, D L Taylor, E W Schweiger, L Shepard, A R Batterman, M F Moffett, C M Elonen, L E Anderson.   

Abstract

The objectives of the Environmental Monitoring and Assessment Program for Great River Ecosystems (EMAP-GRE) are to (1) develop and demonstrate, in collaboration with states, an assessment program yielding spatially unbiased estimates of the condition of mid-continent great rivers; (2) evaluate environmental indicators for assessing great rivers; and (3) assess the current condition of selected great river resources. The purpose of this paper is to describe EMAP-GRE using examples based on data collected in 2004-2006 with emphasis on an approach to determining reference conditions. EMAP-GRE includes the Upper Mississippi River, the Missouri River, and the Ohio River. Indicators include biotic assemblages (fish, macroinvertebrates, plankton, algae), water chemistry, and aquatic and riparian physical habitat. Reference strata (river reaches for which a single reference expectation is appropriate) were determined by ordination of the fish assemblage and examination of spatial variation in environmental variables. Least disturbed condition of fish assemblages for reference strata was determined by empirical modeling in which we related fish assemblage metrics to a multimetric stressor gradient. We inferred least disturbed condition from the y-intercept, the predicted condition when stress was least. Thresholds for dividing the resource into management-relevant condition classes for biotic indicators were derived using predicted least disturbed condition to set the upper bound on the least disturbed condition class. Also discussed are the outputs of EMAP-GRE, including the assessment document, multimetric indices of condition, and unbiased data supporting state and tribal Clean Water Act reporting, adaptive management, and river restoration.

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Year:  2008        PMID: 18483771     DOI: 10.1007/s10661-008-0327-1

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  A performance comparison of metric scoring methods for a multimetric index for Mid-Atlantic highlands streams.

Authors:  Karen A Blocksom
Journal:  Environ Manage       Date:  2003-05       Impact factor: 3.266

Review 2.  Environmental monitoring and assessment of a Great River ecosystem: the Upper Missouri River pilot.

Authors:  E William Schweiger; David W Bolgrien; Ted R Angradi; John R Kelly
Journal:  Environ Monit Assess       Date:  2005-04       Impact factor: 2.513

3.  Setting expectations for the ecological condition of streams: the concept of reference condition.

Authors:  John L Stoddard; David P Larsen; Charles P Hawkins; Richard K Johnson; Richard H Norris
Journal:  Ecol Appl       Date:  2006-08       Impact factor: 4.657

4.  Using relative risk to compare the effects of aquatic stressors at a regional scale.

Authors:  John Van Sickle; John L Stoddard; Steven G Paulsen; Anthony R Olsen
Journal:  Environ Manage       Date:  2006-10-20       Impact factor: 3.266

  4 in total
  4 in total

1.  Use of a GIS-based hybrid artificial neural network to prioritize the order of pipe replacement in a water distribution network.

Authors:  Cheng-I Ho; Min-Der Lin; Shang-Lien Lo
Journal:  Environ Monit Assess       Date:  2009-05-26       Impact factor: 2.513

2.  Predictive mapping of the biotic condition of conterminous U.S. rivers and streams.

Authors:  Ryan A Hill; Eric W Fox; Scott G Leibowitz; Anthony R Olsen; Darren J Thornbrugh; Marc H Weber
Journal:  Ecol Appl       Date:  2017-11-03       Impact factor: 4.657

3.  Physical habitat in conterminous US streams and rivers, Part 1: Geoclimatic controls and anthropogenic alteration.

Authors:  Philip R Kaufmann; Robert M Hughes; Steven G Paulsen; David V Peck; Curt W Seeliger; Marc H Weber; Richard M Mitchell
Journal:  Ecol Indic       Date:  2022-06-18       Impact factor: 6.263

4.  Can data from disparate long-term fish monitoring programs be used to increase our understanding of regional and continental trends in large river assemblages?

Authors:  Timothy D Counihan; Ian R Waite; Andrew F Casper; David L Ward; Jennifer S Sauer; Elise R Irwin; Colin G Chapman; Brian S Ickes; Craig P Paukert; John J Kosovich; Jennifer M Bayer
Journal:  PLoS One       Date:  2018-01-24       Impact factor: 3.240

  4 in total

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