• Home
• About
  • About the project
  • Approach
  • Study area
  • Subprojects
  • Contact
  • DFG Science TV
  • ECSF virtual field trip
• Staff
• Publications
  • List publications
• Documents and Services
  • General Information
• Data
  • List datasets
  • Category tree
  • Plots of climate datasets
• RESPECT Phase 1
  • About the project
  • Approach
  • Study area
  • Subprojects
  • Staff
  • Contact
  • DFG Science TV
  • General Information
• PAK 823-825(2013-2018)
  • Overall aims
  • Structure
  • Subprojects
  • Staff
  • Counterparts
  • Study area
  • Contact
  • Links
  • News
  • Data agreement
• FOR816/2(2010-2013)
  • Overall aims
  • Structure
  • Subprojects
  • Staff
  • Counterparts
  • Study area
  • Contact
  • Links
  • FOR816 Data user agreement

Platform data

Overview

Detailed view

Position of trees in the natural forest experiment was calculated using trigonometric measurements from 2004 and 2009. Precision is estimated to be between 0-10m.

The table is a  list of arbuscular mycorrhizal fungi with their host plants. The sequences are deposited in the NCBI GenBank.

Weekly time series of throughfall data from the ECSF area in the microcatchment Q2 (transects Q2.1, Q2.2 and Q2.3). Throughfall was measured weekly with 20 Hellmann-type pluviometers at each transect. The weekly replicates were volume-weighted and bulked to one sample per collecting interval and transect. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the ECSF.

Beschreibung: Hier sind die Ergebnisse der Auswertungen der hemisphärischen Bilder mit dem Programm HemiView Canopy Analysis Software (Version 2.1 SR1, Delta T Devices Ltd., www.delta-t.co.uk) angegeben.
Weiterhin sind die Ergebnisse der Vermessungen an den Messpunkten angegeben.
In der Übersicht sind die Mittelwerte (Zeile 6-14), die Standardabweichungen (Zeile 23-31) und die Variationskoeffizienten (Zeile 40-48) angegeben.
Qualität: Mittelwerte aus den Rohdaten (9 Einzelmessstellen im Plot)
Angegebene Literatur: Anderson, M.C. 1964a. Light relations of terrestrial plant communities and their measurement. Biological Reviews 39:425-486. 
Anderson, M.C. 1964b. Studies of the woodland light climate I. The photographic computation of light condition. Journal of Ecology 52:27-41. 
Anderson, M.C. 1964c. Studies of the woodland light climate. II. seasonal variation in the light climate. Journal of Ecology 52:643-663. 
Campbell, G.S. 1986 Extinction coefficients for radiation in plant canopies calculated using an ellipsoidal inclination angle distribution. Agricultural & Forest Meteorology, 36:317 - 321.

Original data: FOR402 (Phase 2) ID: 50655-50663; Creators: Dalitz, Helmut and Oesker, Mathias (AG:  B2-B2)
 
This dataset has been migrated from the previous FOR402-Database to the FOR816-Database by the Central Data Management Z1/FOR816.
Please keep in mind that the migration included all avilable metainfomation which were accessible through the FOR402-Database. Nevertheless, it can't be guaranteed that no thematic misinterpretation occured in the data/attribute description.
There has been no further disciplin specfic control. In any case of ambiguity please contact the dataset creator.

List of sequences of uncultured Glomeromycota with their GenBank accession numbers

Ongoing data collected from ECSF Thies climate station.

Raw data, initial visual control only. Use data with great care, errors might be included.

This dataset extends dataset ECSF Climate station best estimate Ver. 2 (id: 1415)
Basis of extension is the raw data of ECSF Thies Station. Various gaps are filled with stations nearby: ECSF Campbell Station, ECSF Pluvio, Campbell Tower Scintillometer Station, Campbell Tower ECOv station and Thies pasture station. The known drift in the Thies temperature sensor is corrected with regression methods based on the ECSF Campbell station temperature.

Caution! Humidity seems to be too high, further checks necessary.

Orthomosaic containing Georeferenced RGB Imagery from ECSF forest aquired with a low flying UAV.

Corrected plots from Bombuscaro, ECSF, Cajanuma, Zamora and Laipuna region as shape files.

Operational taxonomic units (OTUs) of arbuscular mycorrhizal fungi (AMF) detected in roots sampled at the 2000m NUMEX sites in October 2010.

This dataset contains fruit phenology data from 37 fleshy-fruited species at three different altitudes (1000, 2000, 3000 masl) over 10 months (2019 & 2020).

The mycobionts of 103 terrestrial and epiphytic orchid individuals, sampled in the RBSF from permanently estabished orchid plots, were identified by sequencing the whole ITS1-5.8S-ITS2 region and part of 28S rDNA. Tulasnellales, Sebacinales and for the first time Atractiellales were found.

Plots were established by members of UTPL, Dr. Juan Pablo Suarez and his coworkers, on the orchid regeneration land slide, on basis of T1 and in uppar part of T2 as given by geographic parameters. All laboratory work was carried out by the UTPL group mentioned above.

Measurements of gas flux (CO2, CH4, N2O) in canopy soils of NUMEX plots on four dates (Sept/Nov 2011 and Jan/April 2012). Measurements were taken in 3 of the 4 NUMEX blocks at each elevation; treatments measured included C, N, NP and P.

Gas fluxes were measured by incubating intact soil cores.
Gas samples were analyzed on a gas chromatograph with a FID and ECD.
Note that the units for CO2 are mg CO2-C m-2 h-1 (not g CO2-C).

Weekly time series of precipitation data from the San Francisco area at 2000 m a.s.l. at the measuring station FN3 located at the climate station on T2. Precipitation was measured with 5 Hellmann-type pluviometers. The resulting weekly replicates of precipitation were volume-weighted and bulked to one sample per collecting interval. Electrical conductivity and pH values were measured immediately in unfiltered aliquots in the laboratory at the ECSF.

Aggregated values from 2000 are incomplete (May to December).

Please refer to "Ließ et al. (2016), Improving the spatial prediction of soil organic carbon stocks in a complex tropical mountain landscape by methodological specifications in machine learning approaches. PLoS ONE, 11(4): e0153673. doi:10.1371/journal.pone.0153673" for further datails.