Bücker, Amelie; Crespo, Patricio; Frede, Hans-Georg; Vaché, Kellie; Cisneros, Felipe; Breuer, Lutz (2010): (Figure 2) Mean discharge per day (total and baseflow part) of the San Francisco River and daily precipitation at station ECPL (Planta), in 2007 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.863905, Supplement to: Bücker, A et al. (2010): Identifying controls on water chemistry of tropical cloud forest catchments: Combining descriptive approaches and multivariate analysis. Aquatic Geochemistry, 16(1), 127-149, https://doi.org/10.1007/s10498-009-9073-4
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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.
Related to:
Bücker, Amelie; Crespo, Patricio; Frede, Hans-Georg; Vaché, Kellie; Cisneros, Felipe; Breuer, Lutz (2010): (Tables 1-3) Water chemistry of cloud forest streams at baseflow conditions, Rio San Francisco, Ecuador. PANGAEA, https://doi.org/10.1594/PANGAEA.778629
Further details:
Willems, Patrick (2009): A time series tool to support the multi-criteria performance evaluation of rainfall-runoff models. Environmental Modelling & Software, 24(3), 311-321, https://doi.org/10.1016/j.envsoft.2008.09.005
Coverage:
Latitude: -3.970300 * Longitude: -79.063700
Date/Time Start: 2007-04-04T00:00:00 * Date/Time End: 2007-12-31T00:00:00
Minimum Elevation: 1730.0 m * Maximum Elevation: 1730.0 m
Event(s):
Comment:
This work was funded by the Deutsche Forschungsgemeinschaft DFG in the frame of the project FOR816 "Biodiversity and Sustainable Management of a Megadiverse Mountain Ecosystem in South Ecuador".This station is called R3 in the connected article.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Bücker, Amelie | Geocode | ||
| 2 | River discharge, daily mean | Q day m | m3/s | Bücker, Amelie | total | |
| 3 | River discharge, daily mean | Q day m | m3/s | Bücker, Amelie | baseflow part according to WETSPRO (Willems 2009) | |
| 4 | Precipitation, daily total | Precip day total | mm | Bücker, Amelie |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
816 data points