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Journal ArticleDOI

The Influence of Catchment Characteristics on the Water Chemistry of Mountain Lakes

TLDR
In this paper, the authors examined the influence of catchment characteristics on water chemistry and found that water chemistry appeared to be mainly determined by (1) chemical weathering of carbonate minerals and (2) in-lake productivity.
Abstract
Forty-four lakes in the Austrian Alps were studied to examine the influence of catchment characteristics on water chemistry. The lakes are located along an altitudinal gradient (1502-2309 m a.s.l.) in a small study area (35.5 km * 15.5 km) without glaciers. Longitude and latitude accounted for 21.4% of the variation in water chemistry. Bedrock mineralogy explained 14.5% of the variation. Vegetation accounted for 13.2% and slope for 5.5% of the variation in water chemistry. No correlations were found between exposure and water chemistry. Water chemistry appeared to be mainly determined by (1) chemical weathering of carbonate minerals and (2) in-lake productivity. Carbonate minerals were assumed to be present in all watersheds. Trees and shrubs enhanced chemical weathering. Concentrations of chemical parameters indicating physical weathering were high in lakes with large, steep catchments. Steep watersheds were correlated with enhanced nitrogen concentrations in the lakes. In-lake productivity obscured relationships between chemical parameters and catchment characteristics. Nonetheless, catchment characteristics explained 45% of the variation in water chemistry, stressing their importance for water chemistry in mountain lakes.

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Journal ArticleDOI

Fragilaria and Staurosira (Bacillariophyceae) from sediment surfaces of 40 lakes in the Austrian Alps in relation to environmental variables, and their potential for palaeoclimatology

TL;DR: Correlations between the mean valve length and summer water temperatures increase the overall high potential of Fragilaria and Staurosira for palaeoclimatological reconstructions in mountain lakes.
Journal ArticleDOI

Ultra-sensitive Alpine lakes and climate change

TL;DR: In this paper, the authors used temperature data from 45 mountain lakes of the central Austrian Alps (Niedere Tauern) during 1998-2003 at two or four hourly intervals.
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Inorganic nitrogen storage in alpine snow pack in the Central Alps (Switzerland)

TL;DR: In this paper, inorganic ion storage in snow pack at 2500 m (a.s.l.) in the Central Alps, Switzerland, was investigated and the chemical composition of snow was dominated by nitrogenous and sulphate ions.
Journal ArticleDOI

Relationships between land use and nitrogen and phosphorus in New Zealand lakes

TL;DR: In this article, the authors investigated the relationship between land use and in-lake nutrients in New Zealand lakes and found that high producing grassland (intensive pasture) was the best predictor of total nitrogen (TN) and total phosphorus (TP) data.
References
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Journal ArticleDOI

A Simple Sequentially Rejective Multiple Test Procedure

TL;DR: In this paper, a simple and widely accepted multiple test procedure of the sequentially rejective type is presented, i.e. hypotheses are rejected one at a time until no further rejections can be done.
Book

Aquatic Chemistry: Chemical Equilibria and Rates in Natural Waters

TL;DR: In this paper, the Solid-Water Interface Adsorption Dissolution of Minerals Nucleation and Crystal Growth Particle-Particle Interaction Colloids Coagulation and Filtration Regulation of the Chemical Composition of Natural Waters (Examples) Thermodynamic Data.
Journal ArticleDOI

Partialling out the spatial component of ecological variation

TL;DR: In this paper, a method is proposed to partition the variation of species abundance data into independent components: pure spatial, pure environmental, spatial component of environmental influence, and undetermined.
Journal ArticleDOI

Stopping rules in principal components analysis: a comparison of heuristical and statistical approaches'

Donald A. Jackson
- 01 Dec 1993 - 
TL;DR: In this article, the authors compared several approaches to determining the number of components to interpret from principal components analysis (PCA) using simulated data matrices of uniform correlation structure and data sets of lake morphometry, water chemistry, and benthic invertebrate abundance.
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