Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/22063
Title: Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis
Other Titles: Aquatic Geochemistry
Authors: Bücker, Amelie
Crespo, Patricio
Frede, Hans Georg
Vaché, Kellie B.
Cisneros, Felipe
Breuer, Lutz
Keywords: ECUADOR
TROPICAL CLOUD FOREST
PRINCIPAL COMPONENT ANALYSIS
WATER QUALITY
LAND-USE CHANGE
RARE EARTH ELEMENTS
Issue Date: 2010
metadata.dc.ucuenca.paginacion: pp. 127-149
metadata.dc.description.city: 
Cuenca
metadata.dc.type: Article
Other
Abstract: 
We investigated controls on the water chemistry of a South Ecuadorian cloud forest catchment which is partly pristine, and partly converted to extensive pasture. From April 2007 to May 2008 water samples were taken weekly to biweekly at nine different subcatchments, and were screened for differences in electric conductivity, pH, anion, as well as element composition. A principal component analysis was conducted to reduce dimensionality of the data set and define major factors explaining variation in the data. Three main factors were isolated by a subset of 10 elements (Ca2?, Ce, Gd, K?, Mg2?, Na?, Nd, Rb, Sr, Y), explaining around 90% of the data variation. Land-use was the major factor controlling and changing water chemistry of the subcatchments. A second factor was associated with the concentration of rare earth elements in water, presumably highlighting other anthropogenic influences such as gravel excavation or road construction. Around 12% of the variation was explained by the third component, which was defined by the occurrence of Rb and K and represents the influence of vegetation dynamics on element accumulation and wash-out. Comparison of base- and fast flow concentrations led to the assumption that a significant portion of soil water from around 30 cm depth contributes to storm flow, as revealed by increased rare earth element concentrations in fast flow samples. Our findings demonstrate the utility of multi-tracer principal component analysis to study tropical headwater streams, and emphasize the need for effective land management in cloud forest catchments.
URI: http://dspace.ucuenca.edu.ec/handle/123456789/22063
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