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Assessing anthropogenic impact on boreal lakes with historical fish species distribution data and hydrogeochemical modeling.

Valinia S, Englund G, Moldan F, Futter MN, Köhler SJ, Bishop K, Fölster J - Glob Chang Biol (2014)

Bottom Line: Quantifying the effects of human activity on the natural environment is dependent on credible estimates of reference conditions to define the state of the environment before the onset of adverse human impacts.In 2010, MAGIC predicted chemical recovery in 50% of the lakes, however roach only recolonized in five lakes after 1990, showing a lag between chemical and biological recovery.Based on our results, we show how the conceptual model can be used to understand and prioritize management of physico-chemical and ecological effects of anthropogenic stressors on surface water quality.

View Article: PubMed Central - PubMed

Affiliation: Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Box 7050, Uppsala, SE-750 07, Sweden.

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Plot of log10 transformed relationship between MAGIC predicted pH and Ali (μmol L−1) at a range of gibbsite solubility constants.
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fig05: Plot of log10 transformed relationship between MAGIC predicted pH and Ali (μmol L−1) at a range of gibbsite solubility constants.

Mentions: where pAl is the negative logarithm (base 10) of the Al3+ ion activity. As noted by Cosby et al. (2001), there can be considerable variability in the site-specific KAl value. If an erroneous KAl value is used in a MAGIC simulation, estimated pAl will not be representative of in-lake conditions. Despite their large number, the contribution of Al species to the overall charge balance can be neglected when pH is >4.5 (Fig. 5). The method of pH calculation in MAGIC is further described in (Cosby et al., 1985, 2001).


Assessing anthropogenic impact on boreal lakes with historical fish species distribution data and hydrogeochemical modeling.

Valinia S, Englund G, Moldan F, Futter MN, Köhler SJ, Bishop K, Fölster J - Glob Chang Biol (2014)

Plot of log10 transformed relationship between MAGIC predicted pH and Ali (μmol L−1) at a range of gibbsite solubility constants.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4257505&req=5

fig05: Plot of log10 transformed relationship between MAGIC predicted pH and Ali (μmol L−1) at a range of gibbsite solubility constants.
Mentions: where pAl is the negative logarithm (base 10) of the Al3+ ion activity. As noted by Cosby et al. (2001), there can be considerable variability in the site-specific KAl value. If an erroneous KAl value is used in a MAGIC simulation, estimated pAl will not be representative of in-lake conditions. Despite their large number, the contribution of Al species to the overall charge balance can be neglected when pH is >4.5 (Fig. 5). The method of pH calculation in MAGIC is further described in (Cosby et al., 1985, 2001).

Bottom Line: Quantifying the effects of human activity on the natural environment is dependent on credible estimates of reference conditions to define the state of the environment before the onset of adverse human impacts.In 2010, MAGIC predicted chemical recovery in 50% of the lakes, however roach only recolonized in five lakes after 1990, showing a lag between chemical and biological recovery.Based on our results, we show how the conceptual model can be used to understand and prioritize management of physico-chemical and ecological effects of anthropogenic stressors on surface water quality.

View Article: PubMed Central - PubMed

Affiliation: Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Box 7050, Uppsala, SE-750 07, Sweden.

Show MeSH
Related in: MedlinePlus