Literature DB >> 16648961

Spatial scale of autocorrelation of assemblages of benthic invertebrates in two upland rivers in South-Eastern Australia and its implications for biomonitoring and impact assessment in streams.

Natalie J Lloyd1, Ralph Mac Nally, P S Lake.   

Abstract

Spatial autocorrelation in ecological systems is a critical issue for monitoring (and a general understanding of ecological dynamics) yet there are very few data available, especially for riverine systems. Here, we report here on assemblage-level autocorrelation in the benthic-invertebrate assemblages of riffles in two adjacent, relatively pristine rivers in south-eastern Victoria, Australia (40-km reaches of the Wellington [surveys in summers of 1996 and 1997] and Wonnangatta Rivers [survey in summer of 1996 only], with 16 sites in each river). We found that analyses were similar if the data were resolved to family or to species level. Spatial autocorrelation was assessed by using Mantel-tests for the data partitioned into different sets of spatial separations of survey sites (e.g. 0-6 km, 6-12 km, etc.). We found strong small-scale (< or =6 km) autocorrelation in the Wellington River, which is consistent with known dispersal abilities of many aquatic invertebrates. Surprisingly, there were strong negative correlations at longer distance classes for the Wellington River in one of the two summers (20-40 km) and the Wonnangatta River (12-20 km). That two largely unimpacted, adjacent rivers should have such different autocorrelation patterns suggests that impact assessment cannot assume dependence or independence of sites a priori. We discuss the implications of these results for use of "reference" sites to assess impacts at nominally affected sites.

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Year:  2006        PMID: 16648961     DOI: 10.1007/s10661-006-5253-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   3.307


  6 in total

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Authors:  David Storch; Kevin J Gaston; Jaroslav Cepák
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Authors:  Kyrre Lekve; Thierry Boulinier; Nils Chr Stenseth; Jakob Gjøsaeter; Jean-Marc Fromentin; James E Hines; James D Nichols
Journal:  Proc Biol Sci       Date:  2002-09-07       Impact factor: 5.349

3.  Multi-scale variation in spatial heterogeneity for microbial community structure in an eastern Virginia agricultural field.

Authors:  Rima B Franklin; Aaron L Mills
Journal:  FEMS Microbiol Ecol       Date:  2003-06-01       Impact factor: 4.194

4.  Using similarity measures in benthic impact assessments.

Authors:  T Hruby
Journal:  Environ Monit Assess       Date:  1987-03       Impact factor: 2.513

5.  The detection of disease clustering and a generalized regression approach.

Authors:  N Mantel
Journal:  Cancer Res       Date:  1967-02       Impact factor: 12.701

6.  Spatial scale of autocorrelation of assemblages of benthic invertebrates in two upland rivers in South-Eastern Australia and its implications for biomonitoring and impact assessment in streams.

Authors:  Natalie J Lloyd; Ralph Mac Nally; P S Lake
Journal:  Environ Monit Assess       Date:  2006-04-28       Impact factor: 3.307

  6 in total
  2 in total

1.  Estimation of nested spatial patterns and seasonal variation in the longitudinal distribution of Sicyopterus japonicus in the Datuan Stream, Taiwan by using geostatistical methods.

Authors:  Yu-Pin Lin; Cheng-Long Wang; Chi-Ru Chang; Hsiao-Hsuan Yu
Journal:  Environ Monit Assess       Date:  2010-09-01       Impact factor: 2.513

2.  Spatial scale of autocorrelation of assemblages of benthic invertebrates in two upland rivers in South-Eastern Australia and its implications for biomonitoring and impact assessment in streams.

Authors:  Natalie J Lloyd; Ralph Mac Nally; P S Lake
Journal:  Environ Monit Assess       Date:  2006-04-28       Impact factor: 3.307

  2 in total

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