Literature DB >> 23620068

Identifying reference conditions and quantifying biological variability within benthic macroinvertebrate communities in perennial and non-perennial northern California streams.

Kevin B Lunde1, Matthew R Cover, Raphael D Mazor, Christopher A Sommers, Vincent H Resh.   

Abstract

Identification of minimally disturbed reference sites is a critical step in developing precise and informative ecological indicators. We tested procedures to select reference sites, and quantified natural variation (inter-site and -annual variability) among reference conditions using a macroinvertebrate data set collected from 429 mediterranean-climate stream reaches in the San Francisco Bay Area, California (USA). We determined that a landscape GIS-based stressor screen followed by a local field-based stressor screen effectively identified least-disturbed reference sites that, based on NMS ordination results, supported different biological communities than sites identified with only landscape (GIS) or local (field) stressors. An examination of least-disturbed reference sites indicated that inter-site variability was strongly associated with stream hydrology (i.e., perennial vs. non-perennial flow) and annual precipitation, which highlights the need to control for such variation when developing biological indicators through natural gradient modeling or using unique biological indicators for both non-perennial and perennial streams. Metrics were more variable among non-perennial streams, indicating that additional modeling may be needed to develop precise biological indicators for non-perennial streams. Among 192 sites sampled two to six times over the 8-year study period, the biological community showed moderate inter-annual variability, with the 100 point index of biotic integrity scores varying from 0 to 51 points (mean = 11.5). Variance components analysis indicated that inter-annual variability explained only a fraction (5-18 %) of the total variation when compared against site-level variation; thus efforts to understand causes of natural variation between sites will produce more precise and accurate biological indicators.

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Year:  2013        PMID: 23620068     DOI: 10.1007/s00267-013-0057-1

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


  7 in total

1.  Coupling GIS and multivariate approaches to reference site selection for wadeable stream monitoring.

Authors:  Kevin J Collier; Andy Haigh; Johlene Kelly
Journal:  Environ Monit Assess       Date:  2006-08-08       Impact factor: 2.513

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.  Multinational, freshwater biomonitoring programs in the developing world: lessons learned from African and Southeast Asian river surveys.

Authors:  Vincent H Resh
Journal:  Environ Manage       Date:  2007-03-20       Impact factor: 3.266

4.  Which group is best? Attributes of different biological assemblages used in freshwater biomonitoring programs.

Authors:  Vincent H Resh
Journal:  Environ Monit Assess       Date:  2007-05-15       Impact factor: 2.513

5.  Selecting objectively defined reference sites for stream bioassessment programs.

Authors:  Adam Gordon Yates; Robert C Bailey
Journal:  Environ Monit Assess       Date:  2009-11-10       Impact factor: 2.513

6.  A quantitative tool for assessing the integrity of southern coastal California streams.

Authors:  Peter R Ode; Andrew C Rehn; Jason T May
Journal:  Environ Manage       Date:  2005-04       Impact factor: 3.266

7.  Long-term variability in bioassessments: a twenty-year study from two northern California streams.

Authors:  Raphael D Mazor; Alison H Purcell; Vincent H Resh
Journal:  Environ Manage       Date:  2009-04-21       Impact factor: 3.266

  7 in total
  1 in total

1.  Quantifying Variability in Four U.S. Streams Using a Long-Term Dataset: Patterns in Biotic Endpoints.

Authors:  Camille A Flinders; Douglas B McLaughlin; Renee L Ragsdale
Journal:  Environ Manage       Date:  2015-05-01       Impact factor: 3.266

  1 in total

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