Literature DB >> 25011531

Defining the reference condition for wadeable streams in the Sand Hills subdivision of the Southeastern Plains ecoregion, USA.

Ely Kosnicki1, Stephen A Sefick, Michael H Paller, Miller S Jarrell, Blair A Prusha, Sean C Sterrett, Tracey D Tuberville, Jack W Feminella.   

Abstract

The Sand Hills subdivision of the Southeastern Plains ecoregion has been impacted by historical land uses over the past two centuries and, with the additive effects of contemporary land use, determining reference condition for streams in this region is a challenge. We identified reference condition based on the combined use of 3 independent selection methods. Method 1 involved use of a multivariate disturbance gradient derived from several stressors, method 2 was based on variation in channel morphology, and method 3 was based on passing 6 of 7 environmental criteria. Sites selected as reference from all 3 methods were considered primary reference, whereas those selected by 2 or 1 methods were considered secondary or tertiary reference, respectively. Sites not selected by any of the methods were considered non-reference. In addition, best professional judgment (BPJ) was used to exclude some sites from any reference class, and comparisons were made to examine the utility of BPJ. Non-metric multidimensional scaling indicated that use of BPJ may help designate non-reference sites when unidentified stressors are present. The macroinvertebrate community measures Ephemeroptera, Plecoptera, Trichoptera richness and North Carolina Biotic Index showed no differences between primary and secondary reference sites when BPJ was ignored. However, there was no significant difference among primary, secondary, and tertiary reference sites when BPJ was used. We underscore the importance of classifying reference conditions, especially in regions that have endured significant anthropogenic activity. We suggest that the use of secondary reference sites may enable construction of models that target a broader set of management interests.

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Year:  2014        PMID: 25011531     DOI: 10.1007/s00267-014-0320-0

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  6 in total

1.  Influence of catchment-scale military land use on stream physical and organic matter variables in small southeastern plains catchments (USA).

Authors:  Kelly O Maloney; Patrick J Mulholland; Jack W Feminella
Journal:  Environ Manage       Date:  2005-05       Impact factor: 3.266

2.  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

3.  The biological condition gradient: a descriptive model for interpreting change in aquatic ecosystems.

Authors:  Susan P Davies; Susan K Jackson
Journal:  Ecol Appl       Date:  2006-08       Impact factor: 4.657

Review 4.  Achieving conservation goals in managed forests of the southeastern coastal plain.

Authors:  Craig Loehle; T Bently Wigley; Erik Schilling; Vickie Tatum; John Beebe; Eric Vance; Paul Van Deusen; Philip Weatherford
Journal:  Environ Manage       Date:  2009-10-24       Impact factor: 3.266

5.  Least-desired index for assessing the effectiveness of grass riparian filter strips in improving water quality in an agricultural region.

Authors:  Ely Kosnicki; Robert W Sites
Journal:  Environ Entomol       Date:  2007-08       Impact factor: 2.377

6.  Biological Integrity: A Long-Neglected Aspect of Water Resource Management.

Authors:  James R Karr
Journal:  Ecol Appl       Date:  1991-02       Impact factor: 4.657

  6 in total
  1 in total

1.  A Stream Multimetric Macroinvertebrate Index (MMI) for the Sand Hills Ecoregion of the Southeastern Plains, USA.

Authors:  Ely Kosnicki; Stephen A Sefick; Michael H Paller; Miller S Jerrell; Blair A Prusha; Sean C Sterrett; Tracey D Tuberville; Jack W Feminella
Journal:  Environ Manage       Date:  2016-08-31       Impact factor: 3.266

  1 in total

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