Literature DB >> 15195828

Representativity of a mid-lake surface water chemistry sample.

Elisabet Göransson1, Richard K Johnson, Anders Wilander.   

Abstract

A mid-lake sample is the conventional sampling strategy used in lake chemistry monitoring programs. Hence, addressing the question of how representative a mid-lake sample is of in-lake conditions is important for interpreting changes in long-term monitoring programs. Our hypotheses were that; (i) the location of a sampling site within a lake will affect its representativity and (ii) a mid-lake sample could be considered representative of average surface water physico-chemistry. We focused on the surface water chemistry in 34 Swedish lakes. To obtain a wide diversity of lake types, the lakes were classified according to mean depth, water residence time, and three main ecoregions. Two sampling seasons were selected, representative of high and low biological activity and stratified and non-stratified conditions, respectively. Ten samples were collected in each lake. The mid-lake samples differed significantly from the nine remaining samples in less than 4% of the total number of two-sample t-tests performed. Samples collected close to lake inlets differed from the other samples more often than samples collected in the central parts of the lakes. We concluded that the location of a sampling site within a lake may affect the sample's representativity of lake water chemistry, and that a mid-lake surface water sample could be considered representative of surface water chemistry.

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Year:  2004        PMID: 15195828     DOI: 10.1023/b:emas.0000029905.07072.b0

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


  5 in total

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Journal:  Environ Monit Assess       Date:  2006-02-25       Impact factor: 2.513

2.  Comparing hydrogeomorphic approaches to lake classification.

Authors:  Sherry L Martin; Patricia A Soranno; Mary T Bremigan; Kendra S Cheruvelil
Journal:  Environ Manage       Date:  2011-08-21       Impact factor: 3.266

3.  Tracing α, β, and γ diversity responses to environmental change in boreal lakes.

Authors:  David G Angeler; Stina Drakare
Journal:  Oecologia       Date:  2012-12-11       Impact factor: 3.225

4.  Spatial statistics of hydrography and water chemistry in a eutrophic boreal lake based on sounding and water samples.

Authors:  Matti Leppäranta; John E Lewis; Anniina Heini; Lauri Arvola
Journal:  Environ Monit Assess       Date:  2018-06-04       Impact factor: 2.513

5.  Hierarchical dynamics of ecological communities: do scales of space and time match?

Authors:  David G Angeler; Emma Göthe; Richard K Johnson
Journal:  PLoS One       Date:  2013-07-09       Impact factor: 3.240

  5 in total

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