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| Auteurs principaux: | , , , , , |
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| Format: | Dataset Open Access |
| Langue: | en |
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PANGAEA
2010
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| Accès en ligne: | https://doi.org/10.1594/PANGAEA.863905 |
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| _version_ | 1867170066969133056 |
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| author | Bücker, Amelie Crespo, Patricio Frede, Hans-Georg Vaché, Kellie Cisneros, Felipe Breuer, Lutz |
| author_facet | Bücker, Amelie Crespo, Patricio Frede, Hans-Georg Vaché, Kellie Cisneros, Felipe Breuer, Lutz |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_863905 |
| institution | PANGAEA |
| language | en |
| publishDate | 2010 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | (Figure 2) Mean discharge per day (total and baseflow part) of the San Francisco River and daily precipitation at station ECPL (Planta), in 2007 Bücker, Amelie Crespo, Patricio Frede, Hans-Georg Vaché, Kellie Cisneros, Felipe Breuer, Lutz DATE/TIME; ECPL; Ecuador; Monitoring station; MONS; Planta; Precipitation, daily total; River discharge, daily mean 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. |
| title | (Figure 2) Mean discharge per day (total and baseflow part) of the San Francisco River and daily precipitation at station ECPL (Planta), in 2007 |
| topic | DATE/TIME; ECPL; Ecuador; Monitoring station; MONS; Planta; Precipitation, daily total; River discharge, daily mean |
| url | https://doi.org/10.1594/PANGAEA.863905 |