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Platform data

Overview

Detailed view

Soil texture comprising sand, silt, and clay sampled in llasipa site. Samples were analysed in the soil physics laboratory of Bayreuth University.

Saturated hydraulic conductivity measured in situ in Adlerfarn (Llashipa) site

The campbell meteorological station was used to monitor weather variables at the observation plot of the project B1 "The Threat of the Southern Bracken". Meteorological data was used as input in the Southern Bracken Competition Model.

Conclusion of the control experiment: 
-Spraying with Combo is the most efficient, low cost- and least manpower-requiring treatment. 
-On the other hand, the commonly used concentrations of this herbicide resulted in high mortality rates of all other components of the vegetation.
-Half of the application rate of Combo in combination with cutting reduces the impact on other vegetation dramatically, but is still highly efficient with respect to bracken.
-Black-foil & cutting, or cutting alone proved as the best method for bracken control if herbicides are not allowed and other vegetation should be preserved.

Treatments:
Asulam	with 400g/l active agent: 6l/ha
Glyphosat with 480g/l active agent: 4l/ha
Wilt Pruf with 25% active agent in solution: 6l/ha
Combo (PM) with 240g/l Picloram and Metsulfuron Methyl (60% p/p): 4l/ha
black foil:	6x6m/Plot
transparent foil:	6x6m/Plot
Cutting: only bracken leaves were cut, other vegetation remained in the plots
treatment combinations:
all treatments mentioned above were used in combination with cutting in alternating application

Further information in 
Roos K, Rödel HG & Beck E 2011: Short- and long-term effects of weed control on pastures infested with Pteridium arachnoideum and an attempt to regenerate abandoned pastures in South Ecuador. Weed Research 51: 165-176. doi: 10.1111/j.1365-3180.2010.00833.x; 1365-3180

Spectral properties at leaf scale (Reflectance and transmittance) taken with a handheld spectrometer (Handyspec 14, Tec 5, AG. Germany). Leaves were placed over a tarp within a 1m2 frame and leaf area index measured manually.

For measurement and description and citation please refer to Göttlicher et al. 2011:
http://dx.doi.org/10.1016/j.ecolmodel.2010.09.021
Data also cited in Bendix et al. 2010:
http://dx.doi.org/10.1007/s00484-009-0279-3

regrowth observation of bracken at circular plots with r = 1m
every new emerging leave inside the plots became a number (single tagged) and were observed over the whole lifetime

Ten observation plots of 3.14m2 each were installed randomly within the fire site directly after fire and leaf hight was observed in 4-week intervalls

Fire date: 2005-11-05
Each new emerging frond has its own frond number, which is unique within the plot
Height above surface of specific leave part: the entire height of frond was measured
Composition of bracken species: ca. 70% Pteridium arachnoideum, 30% Pteridium caudatum

Monthly measurements of bracken and Setaria sphacelata cover and leaf height before and after burning or mowing, respectively, on 1m2 plots. Additionally, reference plots without treatment were included in the dataset. Three vegetation types were observed at an abandoned pasture site: pure bracken stands (A),  pure Setaria stands (S),  and mixed stands of both (M). Burning (first burn of the experimental fire area) were applied at 2008-9-25 and mowing was realized between 2008-10-3 and 2008-10-7.

Vegetation dynamics table: The calculated vegetation heights of Setaria sphacelata and bracken consists of averaged single measurements of the largest leaf of each present grass tussock (from soil surface to leaf tip) and the standing height of each present bracken leaf, respectively.
LAI table: LAI measurements were allways taken with the 90° view cap because of the small plot size, 4 points per plot (2 from the left and 2 from the right slope paralell plot border) with 2 above and below measurements each, sensor direction was allways looking from the border into the plot. The given attributes were calculated using the FV2000 Software version 1.11 from LICOR. The 5th sensor ring was excluded before the calculations because the plots were located at steep slopes.

Porometry on selected fronds of bracken fern (pteridium arachnoideum) representing sunit or shaded fronds

regrowth observation of bracken at circular plots with r = 1m
every new emerging leave inside the plots became a number (single tagged) and were observed over the whole lifetime

regrowth observation of bracken at circular plots with r = 1m
every new emerging leave inside the plots became a number (single tagged) and were observed over the whole lifetime

all aboveground biomas was cut, sorted and dried at 1x1m, also all litter was collected, sorted and dried
belowground biomas was calculated for the intire plot size after 3 soil collections up to 40 cm depth by an auger with a diameter of 10cm, soil samples were washed, roots and rhizomes were sorted and dried

Data of repasturisation experiment with information about the location and treatments of the respective plots

Sketch of the site: different plot colour indicates different plot management
Data tables: treatment codes (a) control, (b) second control, (c) simulation of grazing (2x per year), (d) simulation of grazing (5x per year), (e) high fertilization , (f) low fertilization, (g) simulation of grazing (2x per year) + high fertilization, (h) simulation of grazing (5x per year) + high fertilization

classes:
1 Non-vegetated
2 Bracken
3 Forest
4 Pasture
5 Mask: clouds, cloud-shadows, and subpáramo vegetation

Six observation plots of 3.14m2 each were installed randomly within the llashipa site in 2005 and leaf hight was observed in 4-week intervalls untill 2008

Each frond has its own frond number (SampleID), which is unique within the plot
Height above surface of specific leave part: the entire height of frond was measured
Composition of bracken species: ca. 70% Pteridium arachnoideum, 30% Pteridium caudatum

Soil texture comprising sand, silt, and clay sampled in llashipa site. Note that, silt and clay have been analysed using particle size laser. Samples were analysed in the soil physics laboratory of Bayreuth University.

Land cover classification of the San Francisco valley using a QuickBird scene of October 22, 2010. 
The classification includes the following classes:(1) forest, (2) pasture, (3) bracken fern, (4) non-vegetated, and (5) subpáramo.