Literature DB >> 29868944

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

Matti Leppäranta1, John E Lewis2, Anniina Heini3,4, Lauri Arvola4.   

Abstract

Spatial variability, an essential characteristic of lake ecosystems, has often been neglected in field research and monitoring. In this study, we apply spatial statistical methods for the key physics and chemistry variables and chlorophyll a over eight sampling dates in two consecutive years in a large (area 103 km2) eutrophic boreal lake in southern Finland. In the four summer sampling dates, the water body was vertically and horizontally heterogenic except with color and DOC, in the two winter ice-covered dates DO was vertically stratified, while in the two autumn dates, no significant spatial differences in any of the measured variables were found. Chlorophyll a concentration was one order of magnitude lower under the ice cover than in open water. The Moran statistic for spatial correlation was significant for chlorophyll a and NO2+NO3-N in all summer situations and for dissolved oxygen and pH in three cases. In summer, the mass centers of the chemicals were within 1.5 km from the geometric center of the lake, and the 2nd moment radius ranged in 3.7-4.1 km respective to 3.9 km for the homogeneous situation. The lateral length scales of the studied variables were 1.5-2.5 km, about 1 km longer in the surface layer. The detected spatial "noise" strongly suggests that besides vertical variation also the horizontal variation in eutrophic lakes, in particular, should be considered when the ecosystems are monitored.

Entities:  

Keywords:  Ecosystem response; Eutrophic lake; Lake monitoring; Spatial variability; Water quality

Mesh:

Substances:

Year:  2018        PMID: 29868944     DOI: 10.1007/s10661-018-6742-z

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


  4 in total

1.  Representativity of a mid-lake surface water chemistry sample.

Authors:  Elisabet Göransson; Richard K Johnson; Anders Wilander
Journal:  Environ Monit Assess       Date:  2004-07       Impact factor: 2.513

2.  A feasible method to assess inaccuracy caused by patchiness in water quality monitoring.

Authors:  Saku Anttila; Timo Kairesalo; Petri Pellikka
Journal:  Environ Monit Assess       Date:  2007-09-23       Impact factor: 2.513

3.  Semiparametric regression during 2003-2007.

Authors:  David Ruppert; M P Wand; Raymond J Carroll
Journal:  Electron J Stat       Date:  2009-01-01       Impact factor: 1.125

Review 4.  CO2 concentrating mechanisms in cyanobacteria: molecular components, their diversity and evolution.

Authors:  Murray R Badger; G Dean Price
Journal:  J Exp Bot       Date:  2003-02       Impact factor: 6.992

  4 in total

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