Kimaro, Jerome; Huwe, Bernd; Bogner, Christina (2020): Soil erosion around Mt. Kilimanjaro [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.918661, In: Kimaro, J et al. (2020): Soil analysis and chanal discargeon of Mt. Kilimanjaro [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.918662
Always quote citation above when using data! You can download the citation in several formats below.
Abstract:
We compared the extent of soil erosion between maize and agroforestry farming systems through monitoring runoff and sediment loss processes on six representative plots along a mountain elevation gradient. Two plots, one under maize and another under agroforestry farming system, were established in each elevation zone. Under agroforestry, study plots with similar canopy types and composition were selected. We installed one erosion trap in each study plot. Erosion traps measuring 10 m length and 3 m wide were installed in each study plot. The erosion plot was carefully delineated using joined cement blocks (30 cm high.) without disturbing the soil surface and the vegetation. At the lower part of the trap, a triangle shape covered by a plastic sheet channeled the runoff through a PVC pipe to a 150 liter plastic barrel (Fig. 2). Rainfall gauges ware installed in the vicinity of each plot (50m) outside of tree and banana canopies. Since transport logistics could not allow us to attend erosion plots after every rainfall event, we scheduled our data collection exercise after every two days. Rainfall volume was measured by using a measuring cylinder whereas the volume of runoff was computed based on its height inside the barrel and the cross-sectional area of runoff and the bottom of the barrel. The runoff mixture was vigorously stirred before collection of 0.5 L sub-samples. Barrels were then cleaned up for the recording of the following runoff events. The collected samples were oven dried at 110 °C and reweighted until constant weight. Runoff and rainfall data were recorded on a cumulative basis for the whole observation period.
Related to:
Kimaro, Jerome; Scharsich, Valeska; Kolb, Andreas; Huwe, Bernd; Bogner, Christina (accepted): Distribution of Traditional Irrigation Canals and Their Discharge Dynamics at the Southern Slopes of Mount Kilimanjaro. Frontiers in Environmental Science, 7, https://doi.org/10.3389/fenvs.2019.00024
Further details:
Hemp, Andreas: Detailed position of KiLi research plots [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.894721
Project(s):
Kilimanjaro Research Group (KiLi)
Funding:
Coverage:
Median Latitude: -3.246434 * Median Longitude: 37.253622 * South-bound Latitude: -3.335000 * West-bound Longitude: 37.229900 * North-bound Latitude: -3.186100 * East-bound Longitude: 37.267250
Date/Time Start: 2015-03-22T00:00:00 * Date/Time End: 2015-08-05T00:00:00
Event(s):
Foo_Agroforestry_3 * Latitude: -3.189860 * Longitude: 37.267250 * Location: Mount Kilimanjaro, Tanzania * Method/Device: Multiple investigations (MULT)
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Event label | Event | Kimaro, Jerome | |||
2 | DATE/TIME | Date/Time | Kimaro, Jerome | Garmin GPSMAP 64s (GPS) | Geocode – Of sampling | |
3 | Location | Location | Kimaro, Jerome | Village | ||
4 | Agroecological zone | Agroeco zone | Kimaro, Jerome | |||
5 | Farming system | Farming system | Kimaro, Jerome | Traditional food cropping system | ||
6 | LATITUDE | Latitude | Kimaro, Jerome | Garmin GPSMAP 64s (GPS) | Geocode | |
7 | LONGITUDE | Longitude | Kimaro, Jerome | Garmin GPSMAP 64s (GPS) | Geocode | |
8 | Field precipitation | Field precip | ml | Kimaro, Jerome | 20L bottles equiped with a funnel | agriculture related |
9 | Runoff per plot | Runoff/plot | l | Kimaro, Jerome | 150L and the volume was determined by a measuring cylinder | Volume of water collected from 30m² erosion plot |
10 | Sediment loss per plot, dry weight | Sedi loss/plot | g | Kimaro, Jerome | Oven dried at 105°C for 48 hours | Mass of sediment eroded by runoff from a 30m² erosion plot |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
1500 data points