Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis
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...
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oai:localhost:123456789-220632016-11-20T14:23:17Z Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis Aquatic Geochemistry Bücker, Amelie Crespo, Patricio Frede, Hans Georg Vaché, Kellie B. Cisneros, Felipe Breuer, Lutz ECUADOR TROPICAL CLOUD FOREST PRINCIPAL COMPONENT ANALYSIS WATER QUALITY LAND-USE CHANGE RARE EARTH ELEMENTS 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. Cuenca 2015-06-11T15:23:24Z 2015-06-11T15:23:24Z 2010 info:eu-repo/semantics/Article info:eu-repo/semantics/Other http://dspace.ucuenca.edu.ec/handle/123456789/22063 doi: 10.1007/s10498-009-9073-4 eng openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ application/pdf instname:Universidad de Cuenca reponame:Repositorio Digital de la Universidad de Cuenca info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/3.0/ec/ |
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Artículos |
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ECUADOR TROPICAL CLOUD FOREST PRINCIPAL COMPONENT ANALYSIS WATER QUALITY LAND-USE CHANGE RARE EARTH ELEMENTS |
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ECUADOR TROPICAL CLOUD FOREST PRINCIPAL COMPONENT ANALYSIS WATER QUALITY LAND-USE CHANGE RARE EARTH ELEMENTS Bücker, Amelie Crespo, Patricio Frede, Hans Georg Vaché, Kellie B. Cisneros, Felipe Breuer, Lutz Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis |
description |
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. |
author |
Bücker, Amelie Crespo, Patricio Frede, Hans Georg Vaché, Kellie B. Cisneros, Felipe Breuer, Lutz |
author_facet |
Bücker, Amelie Crespo, Patricio Frede, Hans Georg Vaché, Kellie B. Cisneros, Felipe Breuer, Lutz |
author_sort |
Bücker, Amelie |
title |
Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis |
title_short |
Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis |
title_full |
Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis |
title_fullStr |
Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis |
title_full_unstemmed |
Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis |
title_sort |
identifying controls on water chemistry of tropical cloud forest catchments: combining descriptive approaches and multivariate analysis |
publishDate |
2015 |
url |
http://dspace.ucuenca.edu.ec/handle/123456789/22063 |
_version_ |
1635522775484465152 |
score |
11,871979 |