maintainer: Esther Frei

en: long-term-experiment treeline-ecosystems stillberg mountain-ecology literature-review

en: The Stillberg bibliography (Stillberg_bibliography_v1.zip) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals (Stillberg_bibliography_data_v1.csv) along with the metadata file (Stillberg_bibliography_metadata_v1.csv). Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title.

en:
 Background information

The Stillberg ecological treeline research site in the Swiss Alps was established in 1975, with the aim to develop ecologically, technically, and economically sustainable reforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Over almost fifty years, research at the Stillberg site combined long-term monitoring of the large-scale high-elevation afforestation with experimental manipulations simulating global change impacts. Besides providing a scientific basis and practical guidelines for high-elevation afforestation, this research has contributed to a comprehensive understanding of ecological processes in the treeline ecotone across different compartments and scales, from individual trees, non-tree vegetation and soils to whole ecosystems, in the context of global change resulting in more than 150 publications.

 Dataset generation

We compiled a comprehensive list of scientific publications covering research at the Stillberg research site by conducting searches in the literature databases Web of Science and Google Scholar, as well as in the Digital Object Repository of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL (DORA). We compiled all publications about the afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, the G-TREE experiment, as well as other studies related to the Stillberg research site.

 Data description

The Stillberg bibliography (Stillberg_bibliography_data_v1.csv) comprises a comprehensive list of 276 scientific publications, 91 of them published in peer-reviewed ISI journals. Currently the bibliography comprises literature about the main afforestation experiment, the FACE × warming experiment, the nutrient addition experiment, and the G-TREE experiment, as well as further publications related to the Stillberg research site that have been published until August 2023. The bibliography can be filtered for different categories, e.g., experiment, peer-review, source repository or database, and source title. The bibliography is described in a metadata file (Stillberg_bibliography_metadata_v1.csv). The bibliography along with the metadata file are provided in a ZIP-folder (Stillberg_bibliography_v1.zip).

literature-review

display_name: literature-review

long-term-experiment

display_name: long-term-experiment

mountain-ecology

display_name: mountain-ecology

stillberg

display_name: stillberg

treeline-ecosystems

display_name: treeline-ecosystems

en: Bibliography of the long-term treeline research site Stillberg, Switzerland


maintainer: EnviDat Support

en: snowpack avalanche snow snow-stability-evaluation avalanche-forecast

state: active

type: dataset

en: Manually observed snow profiles

media_type: application/zip

en: Manually observed snow profiles as csv-files containing depth [cm], thickness [cm], density [kg m-3], hand hardness, first grain type, second grain type, first grain size [mm], and second grain size [mm] of each layer.

format: ZIP

mimetype: application/zip

en: README

media_type: text/plain

en: README file explaining data structure and content

format: TXT

mimetype: text/plain

en: Stability tests

en: Stability tests including csv-files with CT, ECT and PST experiments for each year and each field site.

en: Extracted data

en: Extracted data contain validation and results published in Richter et al. (2019).

en: SNOWPACK simulations

en: This dataset contains all SNOWPACK simulations, including input files, setup and output files.

en:
To validate the critical crack length as implemented in the snow cover model SNOWPACK, PST experiments were conducted for three winter seasons (2015-2017) at two field site above Davos, Switzerland. This dataset contains manually observed snow profiles and stability tests. Furthermore, corresponding SNOWPACK simulations are included.
These data were analyzed and results were published in Richter et al. (2019).

Please refer to the Readme file for further details on the data.

These data are the basis of the following publication:
Richter, B., Schweizer, J., Rotach, M. W., and van Herwijnen, A.: Validating modeled critical crack length for crack propagation in the snow cover model SNOWPACK, The Cryosphere, 13, 3353–3366, https://doi.org/10.5194/tc-13-3353-2019, 2019.

avalanche

display_name: avalanche

avalanche-forecast

display_name: avalanche-forecast

snow

display_name: snow

snow-stability-evaluation

display_name: snow-stability-evaluation

snowpack

display_name: snowpack

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

de: EnviDat ist das Datenportal der WSL für einen einheitlichen und verwalteten Zugang zu Umweltdaten aus Monitoring- und Forschungsprojekten. Auf dem Portal können Datensätze gehostet und veröffentlicht werden. Durch die weltweite Bereitstellung einzigartiger und wertvoller Datensätze leistet EnviDat einen Beitrag zur Forschung im Bereich der Umweltwissenschaften.

it: EnviDat è il portale dati del WSL che fornisce un accesso unificato e gestito ai dati di monitoraggio ambientale e di ricerca. Il portale ha la capacità di ospitare e pubblicare serie di dati preziosi e unici che vengono condivisi in tutto il mondo. Così facendo, EnviDat promuove la ricerca e contribuisce al progresso della scienza ambientale.

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Validating and improving the critical crack length in SNOWPACK


maintainer: Océane Hames

en: openfoam snow-deposition mosaic snow-transport arctic-sea-ice

en: snowBedFoam 1.0.

en:
OpenFOAM-2.3.0. scripts containing the implemented Eulerian-Lagrangian snow transport model.

The code file provided here is not updated. The most recent version of the script can be found on the WSL/SLF GitLab repository: https://gitlabext.wsl.ch/atmospheric-models/snowbedfoam-v1-0.git

format: SERVICE

en: Paper Draft

media_type: application/pdf

en: This is the initial draft of the paper where the snowBedFoam 1.0. results are tested against Terrestrial Laser Scan (TLS) measurements of snow dynamics on Arctic sea ice (MOSAiC expedition). It highlights the numerical limitations of our model as well as the measurement uncertainties, which may occur in such extreme environments.

format: PDF

en: MOSAiC Met City preliminary (Level 2) wind data

en:
Extract from the preliminary MOSAiC atmospheric data (Level 2) for the time period 6th to 13th of November, 2019.
This data was used to set up the fluid forcing parameters in the snowBedFoam simulations on MOSAiC sea ice. It is being published in this repository with the kind permission from Matthew Shupe and his team.
The final processed and quality controlled version of this dataset (Level 3) has not been published yet. A complete reference will be added in this description once it is released.

en:
snowBedFoam 1.0. is a snow transport solver implemented in the Computational Fluid Dynamics (CFD) software OpenFOAM. It is adapted from the standard multi-phase flow solver DPMFoam for application in snow-influenced environments.

To simulate aeolian snow transport, snowBedFoam 1.0. handles coupled Eulerian–Lagrangian phases, which involve a finite number of particles (snow) spread in a continuous phase (air). The snow erosion and deposition are modelled through physically-based equations such as the ones employed in the well-established LES-Lagrangian Stochastic Model (Comola and Lehning, 2017 ; Sharma et al., 2018). This modelling approach is computationally intensive and thus adapted to simulate snow movement and distribution on small scale terrain.

snowBedFoam 1.0. was tested against topographical data collected on Arctic sea ice during the MOSAiC expedition (Clemens-Sewall, 2021) . Together with atmospheric data from the MOSAiC Met City (Shupe et al., 2021) used for the fluid forcing, the model was able to accurately simulate the zones of erosion and deposition of snow along a complex ice ridge structure.

The core code of snowBedFoam 1.0. is also accessible on the WSL/SLF GitLab repository (more details in the Resources section).

arctic-sea-ice

display_name: arctic-sea-ice

mosaic

display_name: mosaic

openfoam

display_name: openfoam

snow-deposition

display_name: snow-deposition

snow-transport

display_name: snow-transport

en: snowBedFoam: an OpenFOAM Eulerian-Lagrangian solver for modelling snow transport


maintainer: Matthias Haeni

en: long-term meteo temperature wind-speed swiss-forest-lab precipitation par meteorology climate-change relative-humidity

en: Field station data (ISF)

media_type: text/csv

en: Data file.

format: CSV

mimetype: text/csv

en: Site photo of the forest station (ISB)

en: Site photo of the forest station from below (viewing upwards the slope).

mimetype: image/jpeg

en: Site aerial photo (Isone)

en: Site aerial photo from both Isone stations. Source: Google. 2016. Site aerial photo from both Isone stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Data plot of the forest station (ISB)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

mimetype: application/pdf

en: Site photo of the field station (ISF)

en: Site photo of the field station from the side.

en: Forest station data (ISB)

en: Data plot of the field station (ISF)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Isone in Switzerland where one station is located within a natural broad-leaved forest stand (ISB) with European beech (_Fagus sylvatica_; 70-100 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, ISF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Isone is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Isone, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


en: soil-moisture low-flow precipitation prevah drought-2018 discharge hydrological-simulations

en: Low-flow storage

en: Simulated low-flow storage for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

en: Precipitation

en: Simulated precipitation for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en: Discharge

en: Simulated discharge for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en: Shapefile of 307 catchments in Switzerland

en: Shapefile of 307 catchments for which simulations of precipitation, discharge, soil moisture, and low flow are provided. The OBJECTID entry corresponds to the data columns in the textfiles of the simulated data provided.

en: Soil moisture

en: Simulated plant-available soil moisture for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

en: The dataset provides simulated 1) precipitation, 2) discharge, 3) soil moisture, and 4) low-flow simulations for 307 medium-sized catchments in Switzerland for the period 1981-2018. The data were simulated using the hydrological model PREVAH in its gridded-version. The simulated time series are provided at daily resolution. A detailed description of the modeling approach can be found in Brunner et al. 2019 submitted to NHESS.

discharge

display_name: discharge

hydrological-simulations

display_name: hydrological-simulations

low-flow

display_name: low-flow

prevah

display_name: prevah

soil-moisture

display_name: soil-moisture

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Hydro-meteorological simulations for the period 1981-2018 for Switzerland


lwf-schanis-long-term-research-site

title_for_slug: lwf-schanis-long-term-research-site

en: infrastructure lwf forest meteorological-data plot meteorological-measurements swiss-forest-lab

en: LWF plot Schänis. Photo: Anne Thimonier Rickenmann, 2019

en: Schänis Meteorological Data LWF

en:
![alt text](https://www.envidat.ch/dataset/b21e7c90-7d1f-4940-82ab-d29c0dcf5fcf/resource/5b41f2a1-847f-4a0f-aa48-cd530ace3827/download/lwf_schaenis.jpg "LWF Schänis")

LWF Plot Schänis

- Community: Schänis / canton SG
- Date of installation: 17 September 1997
- Size of the plot: 2 ha
- Altitude: 693-773 m
- Mean slope: 60%
- Geology (in German): Tertiär. Subalpine Molasse, Oligocaen, Chattien, Kalknagelfluh
- Soil types (WSL) : n.d.
- Woodland association after EK72: 13: Cardamino-Fagetum tilietosum
- Main tree species: Fagus sylvatica
- Management system: high forest
- Silvicultural system: group selection
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 55.8 cm
- Number of trees BHD >= 12 cm (2011): 611
- Maximum tree age: Abies alba130-150 yr - Fraxinus excelsior 130-150 yr - Fagus sylvatica 130-150 yr

More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/schaenis.html

forest

display_name: forest

infrastructure

display_name: infrastructure

lwf

display_name: lwf

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

plot

display_name: plot

en: LWF Schänis long-term research site


en: cordex downscaling toposcale cryosphere rcm

en: Github link to TopoCLIM project

en: TopoCLIM v1.0

en: Archive of Github repository as of 10 June 2021 including license and documentation and examples.

en:
Model code and documentation for the downscaling model TopoCLIM which provides methods to downscale climate timeseries from CORDEX RCM data. This scheme specifically addresses the need for hillslope scale atmospheric forcing timeseries for modeling the local impact of regional climate change projections on the land surface in complex terrain. The method has a global scope and is able to generate the full suite of model forcing variables required for hydrological and land surface modeling at hourly timesteps.

A working example is provided in this code archive but for full running of the scheme TopoSCALE is required https://doi.org/10.5194/gmd-7-387-2014 with code available at https://github.com/joelfiddes/tscaleV2. Standard library dependencies are given in the python requirements.txt of the archive with installation instructions in the README.md.

License GPL v.3

cordex

display_name: cordex

cryosphere

display_name: cryosphere

downscaling

display_name: downscaling

rcm

display_name: rcm

toposcale

display_name: toposcale

en: TopoCLIM v1.0 code


irkis-soil-moisture-measurements-davos

maintainer: Nander Wever

title_for_slug: irkis-soil-moisture-measurements-davos

en: dischma-catchment meteo-station davos soil-moisture meteorological-measurements

en: IRKIS soil moisture data (zip file)

en: Compressed archive (zip) containing soil moisture measurements, as well as meteorological measurements and interpolated meteorological time series.

en:
Meteorological and soil moisture measurements from soil moisture stations installed from October 2010 - October 2013 in the area surrounding Davos, in particular in the Dischma catchment.

There are in total 7 stations: 1202, 1203, 1204, 1205, 222, 333 and SLF2. For each of the stations, there is a:

* vwc_[stn].smet: containing the soil moisture measurements

* station_[stn].smet: in-situ measured meteorlogical parameters. Note, the quality of these measurements for stations 1202, 1203, 1204 and 1205 is very low, with data gaps. Use this data with care. For stations 222, 333 and SLF2, data quality is high and only the default cautiousness should be applied.

* interpolatedmeteo_[stn].smet contains per stations a dataset derived by interpolating from several stations in the Davos area to the stations location. This dataset was generated from the output of the Alpine3D model, of which simulations are presented in the Wever et al. (2017) manuscript.

At the soil moisture measurement sites, Decagon 10HS sensors were installed, at 10, 30, 50, 80 and 120 cm depth. Per depth 2 sensors were installed, labelled A and B in the datafiles. Note that at stations 1203, 1204 and 1205, sensors were only installed at 10, 30 and 50 cm depth.

The files follow the SMET format: https://models.slf.ch/docserver/meteoio/SMET_specifications.pdf and metadata for the stations can be found in the header of the smet files.

Please cite the Wever et al. (2017) reference when using this data in publications.

For a more detailed description, please refer to: Wever, N., Comola, F., Bavay, M., and Lehning, M.: Simulating the influence of snow surface processes on soil moisture dynamics and streamflow generation in an alpine catchment, Hydrol. Earth Syst. Sci., 21, 4053-4071, https://doi.org/10.5194/hess-21-4053-2017, 2017.

davos

display_name: davos

dischma-catchment

display_name: dischma-catchment

meteo-station

display_name: meteo-station

en: IRKIS Soil moisture measurements Davos


maintainer: Lyu

en: pinales fagales species-range-map species-occurrence species-richness species-distribution-model

en: Species range maps of species in Fagales and Pinales (with enough occurrences)

en: species_map.zip includes species 1690 range maps generated based on the integrated method described in Lyu et al., (2022). File names with (polygon) indicate that this map is only generated by polygon mapping, as there are not enough occurrences for SDMs.

en: Occurrence maps for species of Fagales and Pinales with few records

en: Point_buffer.zip includes 267 occurrence maps of species that do not have enough occurrence data for polygon mapping.

en:
This database contains 1957 distribution maps of species from Fagales and Pinales constructed based on a method integrating polygon mapping and SDMs (Lyu et al., 2022).
To construct the maps, we first collected occurrence data from 48 different sources. According to the number of occurrences after data cleaning, three kinds of maps are constructed: (1) For species with more than 20 occurrences, we performed SDM and polygon mapping described in Lyu et al. (2022) and select the integration of the two layers as the distribution range; (2) For species with more than 4 but less than 20 occurrences, we only use polygon mapping to draw the distribution range; (3) For species with less than 4 occurrences, a 20-km buffer was generated around the occurrences as the distribution range. The maps were manually checked and evaluated (see Note S3 and Table S9 in Lyu et al., 2022 for details).

fagales

display_name: fagales

pinales

display_name: pinales

species-distribution-model

display_name: species-distribution-model

species-occurrence

display_name: species-occurrence

species-range-map

display_name: species-range-map

species-richness

display_name: species-richness

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Species distribution maps of Fagales and Pinales (GDPlants)


length-of-forest-edge

title_for_slug: length-of-forest-edge

en:
Length of the forest edge calculated on the basis of the forest boundary lines determined in the aerial photo.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

altitudinal-vegetation-zone

display_name: altitudinal-vegetation-zone

biogeographical-region

display_name: biogeographical-region

canton

display_name: canton

economic-region

display_name: economic-region

length-of-forest-edge

display_name: length-of-forest-edge

lower-higher-altitudinal-zones

display_name: lower-higher-altitudinal-zones

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

total-area

display_name: total-area

en: Length of forest edge


en: mountain-stream surrogate-measurement river sediment-transport bedload-transport torrent

en: SPG field calibration data

en:
SPG field calibration data from the Erlenbach (since 2009), the Albula (2018), the Navisence (2019) and the Avançon de Nant (2019-2020) monitoring stations. Data used in following papers:
"Toward a General Calibration of the Swiss Plate Geophone System for Fractional Bedload Transport" submitted to Earth Surface Dynamics on the 14th of January 2022.
"Improving the Calibration of Impact Plate Bedload Monitoring Systems by Filtering Out Acoustic Signals from Extraneous Particle Impacts" submitted to Earth and Space Science on the 13th of August 2021.

format: XLS

en: Data used in paper: Rickenmann, D., 2020. Effect of Sediment Supply on Cyclic Fluctuations of the Disequilibrium Ratio and Threshold Transport Discharge, Inferred from Bedload Transport Measurements over 27 Years at the Swiss Erlenbach stream. Water Resources Research, 56, e2020WR027741. https://doi.org/10.1029/2020WR027741

en: Data used in paper: Antoniazza, G., Dietze, M., Mancini, D., Turowski, J.M., Rickenmann, D., Nicollier, T., Boss, S., Lane, S.N. (2023). Anatomy of an Alpine bedload transport event: A watershed-scale seismic-network perspective. Journal of Geophysical Research: Earth Surface, 128, e2022JF007000. https://doi.org/10.1029/2022JF007000

en: SPG flume experiment data

en:
SPG data from controlled flume experiments conducted at the Obernach outdoor flume facility (TU Munich) between 2018 and 2020. Data used in following papers:
"Toward a General Calibration of the Swiss Plate Geophone System for Fractional Bedload Transport" submitted to Earth Surface Dynamics on the 14th of January 2022.
"Improving the Calibration of Impact Plate Bedload Monitoring Systems by Filtering Out Acoustic Signals from Extraneous Particle Impacts" submitted to Earth and Space Science on the 13th of August 2021.

en: Data used in paper: Rickenmann, D., Ammann, L., Nicollier, T., Boss, S., Fritschi, B., Antoniazza, G., Steeb, N., Chen, Z., Wyss, C., Badoux, A. (2022). Comparison of calibration characteristics of different acoustic impact systems for measuring bedload transport in mountain streams. Earth Surface Dynamics Discussions, https://doi.org/10.5194/esurf-2022-7

en: Hydrological drivers of bedload transport in Avançon de Nant

en: Data used in paper: Antoniazza, G., Nicollier, T., Boss, S., Mettra, F., Badoux, A., Schaefli, B., Rickenmann, D., Lane, S.N., 2022. Hydrological Drivers of Bedload Transport in an Alpine Watershed. Water Resources Research, 58, e2021WR030663. https://doi.org/10.1029/2021WR030663

en: Data-variability-SPG-response

en: Data used in paper: Antoniazza, G., Nicollier, T., Wyss, C.R., Boss, S., Rickenmann, D., 2020. Bedload Transport Monitoring in Alpine Rivers: Variability in Swiss Plate Geophone Response. Sensors 2020, 20, 4089; doi:10.3390/s20154089

en:
The Swiss Federal Research Institute WSL has extensive experience with surrogate bedload transport measurements. The first measuring site was established in the Erlenbach stream, a small (first-order) catchment in the pre-alpine valley Alptal in central Switzerland. Continuous bedload transport measurements were started in 1986, using first piezoelectric sensors (1986 to 1999) and then geophone sensors (from 2002 onwards) underneath a steel plate and mounted flush with the streambed. In the meantime, the so-called Swiss plate geophone (SPG) system has been installed at more than 20 field sites, primarily in smaller and steeper streams in Switzerland, Austria, and Italy but also in a few larger rivers and in some other streams worldwide (Israel, USA, Japan).
Sediment transport observations in Switzerland with the SPG system concern the following streams: Erlenbach near Brunni (Alptal valley), Albula at Tiefencastel, Navisence at Zinal, Avançon de Nant near Pont de Nant (see map). The data in this repository primarily refer to calibration measurements with the SPG system. The publications listed here discuss primarily the performance of the measuring system but also process-based aspects of bedload transport.

bedload-transport

display_name: bedload-transport

mountain-stream

display_name: mountain-stream

river

display_name: river

sediment-transport

display_name: sediment-transport

surrogate-measurement

display_name: surrogate-measurement

torrent

display_name: torrent

en: Sediment transport observations in Swiss mountain streams


maintainer: Yohann Chauvier

en: species-observations conservation r-package synonyms landsca filtering gbif large-scale accepted-name occurrence-records species-distribution taxonomy hard-limit range-maps flags ecoregions

en: gbif.range R package version 1.1 (current)

en: wsl.gbif R package version 0.1 (deprecated)

en: Test version, not to be used.

en: GitHub URL

en: gbif.range R package version 0.2 (deprecated)

en: Although species range may be obtained using expert maps or modeling methods, expert data is often species-limited and statistical models need more technical expertise as well as many species observations. When unavailable, such information may be extracted from the Global Biodiversity Information facility (GBIF), the largest public data repository inventorying georeferenced species observations worldwide. However, retrieving GBIF records at large scale may be tedious if users are unaware of specific tools and functions that need to be employed. Here we present *gbif.range*, an R library that contains automated methods to generate species range maps from scratch using in-house ecoregions shapefiles and an easy-to-use GBIF download wrapper. Finally, this library also offers a set of additional very useful parameters and functions for large GBIF datasets (generate doi, extract GBIF taxonomy, records filtering...). [gbif.range R project](https://github.com/8Ginette8/gbif.range)

accepted-name

display_name: accepted-name

conservation

display_name: conservation

ecoregions

display_name: ecoregions

filtering

display_name: filtering

flags

display_name: flags

gbif

display_name: gbif

hard-limit

display_name: hard-limit

landsca

display_name: landsca

large-scale

display_name: large-scale

occurrence-records

display_name: occurrence-records

r-package

display_name: r-package

range-maps

display_name: range-maps

species-distribution

display_name: species-distribution

species-observations

display_name: species-observations

synonyms

display_name: synonyms

taxonomy

display_name: taxonomy

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: gbif.range - An R package to generate species range maps based on ecoregions and a user-friendly GBIF wrapper


en: nais naturalness nfi tree-species-composition protective-forest

en: Scherrer et al. 2023 - Data for analysis and figures

en:
This archive contains all the data needed to reconstruct the analysis and figures of
Scherrer, D., Allgaier Leuch, B., Fischer, C., Frehner, M. & Wohlgemuth, T. (2023) Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition. Frontiers in Forests and Global Change, in review.

en: Scherrer et al. 2023 - Scripts

en:
This archive contains all the R-scripts to run the analysis and reconstruct the figures from
Scherrer, D., Allgaier Leuch, B., Fischer, C., Frehner, M. & Wohlgemuth, T. (2023) Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition. Frontiers in Forests and Global Change, in review.

en: Data and scripts used by Scherrer et al. 2023 in the publication 'Maintaining the protective function of mountain forests under climate change by the concept of naturalness in tree species composition'. The analysis is based on data about the tree species composition of the canopy layer in the NFI4 and information about the potential natural forest of the sites based on the NaiS classification system.

nais

display_name: nais

naturalness

display_name: naturalness

nfi

display_name: nfi

protective-forest

display_name: protective-forest

tree-species-composition

display_name: tree-species-composition

en: Naturalness of tree species composition in protective forests


en: gcos snow-water-equivalent snow-profile snow snow-height

en: STATION METADATA

en: DATA ACCESS

en: Snowprofile from 11 observer sites in Switzerland compiled for the Global Climate Observing System (GCOS). Height of snow (cm) and snow water equivalent (mm) are recorded every 2 weeks since the 1947 (depending on station). Attached metadata file gives details of each station.

gcos

display_name: gcos

snow

display_name: snow

snow-height

display_name: snow-height

snow-profile

display_name: snow-profile

snow-water-equivalent

display_name: snow-water-equivalent

en: GCOS SWE data from 11 stations in Switzerland


maintainer: Henning Löwe

en: microstructure spherical-model-snow discrete-element-modelling unconfined-compression-experiments 3d-ct-images snow-mechanics

en: Data Structure (Python Notebook - view online)

en: Data Structure (Python Notebook)

en: Data Access

en:
For the investigation of microstructural and mechanical properties of snow unconfined compression experiments and 3D computed tomography (CT) imaging were performed on sintered rounded grain snow and spherical model snow. The spherical model snow was generated to create geometrically simplified, well-defined microstructures for calibration of numerical models, such as discrete element models (DEM) in which the microstructure is represented by spherical particles.
In the experiments, microstructural variation was created by varying the sintering time (contact size) and the density of the ice sphere samples (number of contacts). The 3D CT images allow for a complete reconstruction of the entire experimental sample (cylindrical sample dimension: diameter = 33.6 mm; height = 14 mm).

discrete-element-modelling

display_name: discrete-element-modelling

microstructure

display_name: microstructure

snow-mechanics

display_name: snow-mechanics

spherical-model-snow

display_name: spherical-model-snow

unconfined-compression-experiments

display_name: unconfined-compression-experiments

en: Unconfined compression experiments and 3D CT images of spherical model snow and RG snow samples


en: weisfluhjoch snow-stratigraphy snow-ice-temperature snow-density snow-water-equivalent

en: README

en: README file giving use metadata.

en: WFJ Snow Profiles 1999-2014

en:
Biweekly manual snow profiles from Weissfluhjoch, Davos, Switzerland.
Version: 2015-09-14T16:25

en: Dataset of manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland. Typical snow profile measurements and observations are included (temperature, density, grain size, grain type, hardness, wetness), following the guidelines of the The International Classification for Seasonal Snow on the Ground (ICSSG) [Fierz, C., Armstrong, R.L., Durand, Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A. 2009. The International Classification for Seasonal Snow on the Ground. IHP-VII Technical Documents in Hydrology N°83, IACS Contribution N°1, UNESCO-IHP, Paris].

snow-density

display_name: snow-density

snow-ice-temperature

display_name: snow-ice-temperature

snow-stratigraphy

display_name: snow-stratigraphy

weisfluhjoch

display_name: weisfluhjoch

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Manual bi-weekly snow profiles from Weissfluhjoch, Davos, Switzerland


maintainer: Dirk Nikolaus Karger

en: climatology free-climate-data bioclim precipitation temperature climate climate-layers climate-change

en: CHELSA V1.2 (deprecated)

en: CHELSA Version 1.2 based on ERA-Interim forcings and CMIP5

format: GeoTIFF

en: CHELSA V2.1 (current)

en: CHELSA Version 2.1 based on ERA5 forcings and CMIP6

en: CHELSA Technical Documentation

en: Technical documentation document including the variable names, units, scaling, offset, and background.

en:
High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present the CHELSA (Climatologies at high resolution for the earth’s land surface areas) data of downscaled temperature and precipitation to a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperatures. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height, with a subsequent bias correction.

CHELSA data published in EnviDat includes the deprecated version 1.2 (originally published under 10.5061/dryad.kd1d4). Please use the current 2.1 version.

Paper Citation:
 > _Karger DN. et al. Climatologies at high resolution for the earth’s land surface areas, Scientific Data, 4, 170122 (2017) [doi: 10.1038/sdata.2017.122](https://doi.org/10.1038/sdata.2017.122)._

bioclim

display_name: bioclim

climate

display_name: climate

climate-change

display_name: climate-change

climate-layers

display_name: climate-layers

climatology

display_name: climatology

free-climate-data

display_name: free-climate-data

precipitation

display_name: precipitation

temperature

display_name: temperature


en: number-of-dead-persons number-of-caught-persons avalanche-accidents avalanche-fatalities avalanche-accident-statistics

en: Fatal avalanche accidents in Switzerland since 1936/37

en:
**When using this data, please consider and adhere to the associated [Terms of Use](https://www.slf.ch/en/services-and-products/data-and-monitoring/slf-data-service.html)**.

This data collection contains information concerning all known accidents by snow avalanches in Switzerland with at least one fatality. The data set commences on 01/10/1936. After the completion of a hydrological year, the new data is added.

The following information is provided:

 * avalanche identifier
 * date of the accident
 * accuracy of the date in range of days before and after
 * hydrological year (always from first of october to end of september)
 * canton
 * municipality
 * start zone point latitude
 * start zone point longitude
 * start zone point accuracy (in meters)
 * start zone point elevation (in meteres above sea level)
 * slope aspect (main orientation of start zone)
 * slope inclination (in degree, steepest point within start zone)
 * forecasted avalanche danger level 1 (first danger)
 * forecasted avalanche danger level 2 (second danger)
 * accident within the core zone (most dangerous aspect and elevation as mentioned in the forecast)
 * number of dead persons
 * number of caught persons
 * number of fully buried persons
 * activity/location of the accident party at the time of the incident

avalanche-accident-statistics

display_name: avalanche-accident-statistics

avalanche-accidents

display_name: avalanche-accidents

avalanche-fatalities

display_name: avalanche-fatalities

number-of-caught-persons

display_name: number-of-caught-persons

number-of-dead-persons

display_name: number-of-dead-persons


maintainer: Roksolana Petrovska

en: regeneration fagus lar acer shade-tolerance mortality-rate dominance

en: Mortality of regeneration

en: Acer platanoides, Acer pseudoplatanus and Fagus sylvatica living and dead juveniles (0-500 cm in height) grown in the deep shade of a prime beech-dominated forest.

en: The R-script of survival analysis for accelerated failure time model

en:
 One individual per species, vitality class (low and high) and height class (eight classes: 0–10, 11–20, 21–35, 36–60, 61–90, 91–130, 131–200 and 201–500 cm) was randomly selected and harvested in each of the six plots. This resulted in a sample of 82, 80 and 89 living individuals of A. platanoides, A. pseudoplatanus and F. sylvatica, respectively.

 Additionally stems of dead Acer spp. and F. sylvatica trees that had died within the last three years (2015–2018) were randomly harvested, matching the height classes of the harvested living trees wherever possible. In total, 179 dead young trees (60 A. platanoides, 72 A. pseudoplatanus and 47 F. sylvatica) were collected.

 Variables:
* species_code: a_pla - Acer platanoides, a_pse - Acer pseudoplatanus, f_syl - Fagus sylvatica
* species: as above
* dummy: 0 - living individual, 1 - dead individual
* LAR_cm2_g: leaf area ratio or ratio of leaf area to total plant biomass, [cm2/g]
* tree_age: in years
* avg_ring_micron: average width of the last 5 rings in tree life excluding the last ring
* dry_mass_g: aboveground and belowground biomass
* DLI: direct light index (measured only under living individuals)
* BLI: diffuse light index (measured only under living individuals)
* GLI: global light index

acer

display_name: acer

dominance

display_name: dominance

fagus

display_name: fagus

lar

display_name: lar

mortality-rate

display_name: mortality-rate

regeneration

display_name: regeneration

shade-tolerance

display_name: shade-tolerance

en: Mortality of regeneration: Acer spp. and Fagus sylvatica


basal-area

title_for_slug: basal-area

en:
Sum of the stem cross-section areas of all living trees and shrubs starting at 12 cm dbh (standing and lying) at a height of 1.3 m (dbh measurement height).

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

accessible-forest-without-shrub-forest

display_name: accessible-forest-without-shrub-forest

altitudinal-vegetation-zone

display_name: altitudinal-vegetation-zone

avalanches-silvaprotect

display_name: avalanches-silvaprotect

basal-area

display_name: basal-area

biogeographical-region

display_name: biogeographical-region

canton

display_name: canton

conifers-broadleaves

display_name: conifers-broadleaves

diameter-classes

display_name: diameter-classes

economic-region

display_name: economic-region

forest-type-and-stage-of-development

display_name: forest-type-and-stage-of-development

giants

display_name: giants

landslide-mudflow-silvaprotect

display_name: landslide-mudflow-silvaprotect

lower-higher-altitudinal-zones

display_name: lower-higher-altitudinal-zones

main-tree-species

display_name: main-tree-species

ownership

display_name: ownership

potential-cost-for-timber-harvesting

display_name: potential-cost-for-timber-harvesting

processes-in-channels-silvaprotect

display_name: processes-in-channels-silvaprotect

production-region

display_name: production-region

protection-forest-region

display_name: protection-forest-region

rockfall-silvaprotect

display_name: rockfall-silvaprotect

site-quality

display_name: site-quality

stage-of-stand-development

display_name: stage-of-stand-development

tree-species-woody-species

display_name: tree-species-woody-species

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.


maintainer: Marcus Schaub

en: diameter-at-breast-height forest irrigation swiss-forest-lab dbh scots-pine lwf tree-species crown-condition drought tree

en: Long-term Irrigation	Experiment Pfynwald homepage

media_type: text/html

format: HTML

mimetype: text/html

en: Site photo 2

en: Site photo 3

en: Site photo 1

en: Swiss Forest Health Inventory

en: Shapefile	of measurement location

en: Dataset

en: To study the performance of mature Scots pine (_Pinus sylvestris_ L.) under chronic drought conditions in comparison to their immediate physiological response to drought release, a controlled long-term and large-scale irrigation experiment has been set up in 2003. The experiment is located in a xeric mature Scots pine forest in the Pfynwald (46° 18' N, 7° 36' E, 615 m a.s.l.) in one of the driest inner-Alpine valleys of the European Alps, the Valais (mean annual temperature: 9.2°C, annual precipitation sum: 657 mm, both 1961-1990). Tree age is on average 100 years, the top height is 10.8 m and the stand density is 730 stems ha-1 with a basal area of 27.3 m2 ha-1. The forest is described as _Erico Pinetum sylvestris_ and the soil is a shallow pararendzina characterized by low water retention. The experimental site (1.2 ha; 800 trees) is split up into eight plots of 1'000 m2 each. During April-October, irrigation is applied on four randomly selected plots with sprinklers of 1 m height at night using water from an adjacent water channel. The amount of irrigation corresponds to a supplementary rainfall of 700 mm year-1. Trees in the other four plots grow under naturally dry conditions. Soil moisture has been monitored since the beginning of the project at 3 soil depths (10, 20 and 60 cm). The crown condition of each tree is being assessed each year since 2003. Tree measurement data such as diameter at breast height, tree height, and social status were assessed in 2002, 2009 and 2014. The duration of the irrigation experiment is planned for 20 years.

crown-condition

display_name: crown-condition

dbh

display_name: dbh

diameter-at-breast-height

display_name: diameter-at-breast-height

drought

display_name: drought

forest

display_name: forest

irrigation

display_name: irrigation

lwf

display_name: lwf

scots-pine

display_name: scots-pine

swiss-forest-lab

display_name: swiss-forest-lab

tree

display_name: tree

tree-species

display_name: tree-species

en: Tree measurements 2002-2016 from the long-term irrigation experiment Pfynwald, Switzerland


en: long-term temperature meteo wind-speed swiss-forest-lab precipitation par meteorology climate-change relative-humidity

en: Field station data (BTF)

en: Data file.

en: Data plot of the forest station (BTB)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Site aerial photo (Bettlachstock)

en: Site aerial photo from both Bettlachstock stations. Source: Google. 2016. Site aerial photo from both Bettlachstock stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Site photo of the field station (BTF)

en: Site photo of the field station from the side.

en: Data plot of the field station (BTF)

en: Site photo of the forest station (BTB)

en: Site photo of the forest station from the side.

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Bettlachstock in Switzerland where one station is located within a natural mixed forest stand (BTB) with European beech (_Fagus sylvatica_; 170-190 yrs), European silver fir (_Abies alba_; 190 yrs) and Norway spruce (_Picea abies_; 200 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, BTF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Bettlachstock is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Bettlachstock, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


en: geospatial jupyter roads buffer density gis

en: Plots

en: Random plot locations

en: Road data from OSM for the surroundings of Menzberg, Switzerland

en: Road Density Calculation (Python Notebook) online

en:
This dataset contains the road and plot data used for the geospatial analysis example showcased in "Fostering Open Science at WSL with the EnviDat Environmental Data Portal", a contribution to the 5th Open Source Geospatial Research and Education Symposium (OGRS), 2018.
The example uses Jupyter Notebook to calculate road densities in the neighbourhood of sample plot locations with Python. Road data were extracted from OpenStreetMap, while the point data (sample plots) were generated manually.

buffer

display_name: buffer

density

display_name: density

geospatial

display_name: geospatial

gis

display_name: gis

jupyter

display_name: jupyter

roads

display_name: roads

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Dataset for OGRS 2018 publication


en: davos longwave-radiation shortwave-radiation incoming outgoing

en: Processing doc

en: Parameter file

en: DATA ACCESS

en: Metadata

en:
Incoming and outgoing shortwave and longwave 2 min radiation measurements in Davos Dorf, CH.

 References
1. Marty, C., Philipona, R., Frohlich, C., Ohmura, A.. Altitude dependence of surface radiation fluxes and cloud forcing in the alps: results from the alpine surface radiation budget network. 2002. Theoretical and Applied Climatology. Volume 72. Issue 3-4. 137-155. http://dx.doi.org/10.1007/s007040200019. 10.1007/s007040200019.
2. Christoph Marty. Surface Radiation, Cloud Forcing and Greenhouse Effect in the Alps. 2000. Institute fuer Klimaforschung ETH. Zuercher Klima-Schriften. Volume 79. http://e-collection.library.ethz.ch/eserv/eth:23491/eth-23491-01.pdf.

davos

display_name: davos

incoming

display_name: incoming

longwave-radiation

display_name: longwave-radiation

outgoing

display_name: outgoing

shortwave-radiation

display_name: shortwave-radiation

en: ASRB_DAV: Shortwave and longwave radiation measurements (2 min) in Davos Dorf


en: growth-and-yield tree-height silviculture permanent-plot crown-diameter switzerland forest-inventory long-term-monitoring

en: Meta data

en: Basic information for each plot

en: Data paper

en: Description of plot network, methodology, and data.

en: Tree data

en: Data for each individual tree

en: The EFM network is one of the longest running scientific projects in Switzerland and has been collecting growth and yield data since the late 1880’s. As of 2021, 28 plots had been monitored for at least 100 years and 81 for at least 75 years. The network is used to examine silvicultural treatments across a range of species, climate and edaphic conditions. There are currently 465 plots covering a total area of 148 hectares. Over the > 130-year history of the project, at least another 1000 plots were monitored and then deactivated after they reached their experimental goal (e.g. end of the rotation). The data from all 1480 plots are available for analyses.

crown-diameter

display_name: crown-diameter

forest-inventory

display_name: forest-inventory

growth-and-yield

display_name: growth-and-yield

long-term-monitoring

display_name: long-term-monitoring

permanent-plot

display_name: permanent-plot

silviculture

display_name: silviculture

switzerland

display_name: switzerland

tree-height

display_name: tree-height

en: The Experimental Forest Management network


en: evapotranspiration soil-moisture ecohydrology evaporation net-radiation

en: R data file containing gridded net radiation and soil moisture values

en:
Net radiation (W/m2), variable name: NetRadiation, source: Viviroli et al., 2009, spatial resolution: 500 m,
temporal resolution: daily, year 2004, extent: Switzerland.

Soil moisture saturation (-), variable name: SoilMositure, source: simulations from the hydrological model PREVAH,
Brunner et al., 2019; Speich et al., 2015; Orth et al., 2015; Zappa et al., 2003, spatial resolution: 500 m, temporal
resolution: daily, year 2004, extent: Switzerland.

The R command to load the data:
load(“500m_SM_NetRad_2004_for_HESS_raster.RData”)

en: simple R script to load the data and generate sample plots

en: R data set containing R raster objects with 500m gridded daily modeled soil moisture and net radiation covering Switzerland for the year 2004.

ecohydrology

display_name: ecohydrology

evaporation

display_name: evaporation

evapotranspiration

display_name: evapotranspiration

net-radiation

display_name: net-radiation

soil-moisture

display_name: soil-moisture

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: daily 500m gridded net radiation and soil moisture for Switzerland, 2004


en: drought 3-pg growth-limitation vpd climate-change tree-rings

en: Limiting factors

en: Spatially resolved simulated environmental constraints during the 1961-1990 and 1991-2018 period.

en: Seasonal variation in environmental constraints (vapor pressure deficit – VPD, air temperature, and soil moisture) on tree growth for the potential distribution range of seven widespread Central European tree species. We simulated environmental constraints on growth fusing 3-PG model or the species’ potential distribution range within the forested area of Switzerland on a 1×1 km grid for seven dominant tree species: _Larix decidua_, _Picea abies_, _Abies alba_, _Fagus sylvatica_, _Acer pseudoplatanus_, _Pinus sylvestris_, and _Quercus robur_. For this purpose, we simulated the growth of these tree species in monocultures with the average climate observed during 1961–1990 or 1991-2018. The stands were initialized as 2-year-old plantations with an initial density of 2,500 trees ha-1 and simulated until the age of 30 years. For each simulated month, we obtained the relative contribution of environmental constraints (VPD, temperature, and soil water) on tree growth.

climate-change

display_name: climate-change

drought

display_name: drought

growth-limitation

display_name: growth-limitation

tree-rings

display_name: tree-rings

vpd

display_name: vpd

en: Environmental constraints on tree growth


maintainer: Marcia Phillips

en: permos temperature borehole permafrost gemsstock

en: Map of PERMOS borehole network

en: PERMOS DATA POLICY

en: DATASET & PLOTS

en: Data visualiser and download service provided by PERMOS.

en:
Processed ground temperature measurements at the Gemsstock permafrost borehole in canton Uri, Switzerland. The borehole is located at 2940 m asl on a steep (50°) North-West slope (315°). The surface material is bedrock and borehole depth is 40 m. Thermistors used YSI 44008. Year of drilling 2006. This borehole is part of the Swiss Permafrost network, PERMOS (www.permos.ch). Contact phillips@slf.ch for details of processing applied.

Publications

1. A. Haberkorn, M. Phillips, R. Kenner, H. Rhyner, M. Bavay, S.P. Galos, M. Hoelzle. Thermal regime of rock and its relation to snow cover in steep Alpine rock walls: Gemsstock, central Swiss Alps. 2015. Geografiska Annaler: Series A, Physical Geography. Volume 97. Issue 3. 579–597. http://dx.doi.org/10.1111/geoa.12101. 10.1111/geoa.12101.

2. R. Kenner, M. Phillips, C. Danioth, C. Denier, P. Thee, A. Zgraggen. Investigation of rock and ice loss in a recently deglaciated mountain rock wall using terrestrial laser scanning: Gemsstock, Swiss Alps. 2011. Cold Regions Science and Technology. Volume 67. Issue 3. 157–164. http://dx.doi.org/10.1016/j.coldregions.2011.04.006. 10.1016/j.coldregions.2011.04.006.

borehole

display_name: borehole

gemsstock

display_name: gemsstock

permafrost

display_name: permafrost

permos

display_name: permos

temperature

display_name: temperature

en: Processed permafrost borehole data (2940 m asl), Gemsstock, Switzerland


en: willow pterocomma-pilosum spruce phenols cinara-pilicornis lymantria-monacha

en: Heavy metal insects

en: See ReadMe

en: In controlled model forest ecosystems young trees were exposed to heavy metals in the soil and to acid precipitation. On spruce trees Lymantria monacha caterpillars and Cinara pilicornis aphids and on willow Pterocomma pilosum aphids were reared and monitored. Developmental time and fecundity of L. monacha were recorded and in aphids colony growth was measured.

cinara-pilicornis

display_name: cinara-pilicornis

lymantria-monacha

display_name: lymantria-monacha

phenols

display_name: phenols

pterocomma-pilosum

display_name: pterocomma-pilosum

spruce

display_name: spruce

willow

display_name: willow

en: Plant-mediated effects of heavy metals and acid rain on feeding aphids and caterpillars


en: snow hazard-mapping natural-hazard avalanche satellite

en: SPOT6 Avalanche outlines 24 January 2018

en: Shapefile of the manually mapped avalanche outlines. Please only use this data together with the example key document provided with this dataset.

format: SHP

en:
Outlines of 18'737 avalanches mapped from SPOT6 satellite data over the Swiss Alps on 24 January 2018. The outlines have different attributes described in the data example key (ExampleKey_AvalMapping.pdf)

The generation of the data is described in:

Bühler, Y., E. D. Hafner, B. Zweifel, M. Zesiger, and H. Heisig (2019), Where are the avalanches? Rapid SPOT6 satellite data acquisition to map an extreme avalanche period over the Swiss Alps, The Cryosphere, 13(12), 3225-3238, doi:10.5194/tc-13-3225-2019.

Abstract.
Accurate and timely information on avalanche occurrence are key for avalanche warning, crisis management and avalanche documentation. Today such information is mainly available at isolated locations provided by observers in the field. The achieved reliability considering accuracy, completeness and reliability of the reported avalanche events is limited. In this study we present the spatial continuous mapping of a large avalanche period in January 2018 covering the majority of the Swiss Alps (12’500 km2).

We tested different satellite sensors available for rapid mapping during a first avalanche period. Based on these experiences, we tasked SPOT6/7 data for data acquisition to cover the second, much larger avalanche period. We manually mapped the outlines of 18’737 individual avalanche events, applying image enhancement techniques to analyze regions in cast shadow as well as brightly illuminated ones. The resulting dataset of mapped avalanche outlines, having a unique completeness and reliability, is evaluated to produce maps of avalanche occurrence and avalanche size. We validated the mapping of the avalanche outlines using photographs acquired from helicopters just after the avalanche period.

This study demonstrates the applicability of optical, very high spatial resolution satellite data to map an exceptional avalanche period with very high completeness, accuracy and reliability over a large region. The generated avalanche data is of great value to validate avalanche bulletins, complete existing avalanche databases and for research applications by enabling meaningful statistics on important avalanche parameters.

Koordinate System: CH1903+ LV95 LN02

avalanche

display_name: avalanche

hazard-mapping

display_name: hazard-mapping

natural-hazard

display_name: natural-hazard

satellite

display_name: satellite

snow

display_name: snow

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.


snow-depth-mapping

maintainer: Mauro Marty

title_for_slug: snow-depth-mapping

en: aerial-imagery dsm image-matching avalanche snow-depth snow-hydrology snow-water-equivalent

en: Snow depth map 20130415

media_type: image/tiff

en: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

format: TIFF

mimetype: image/tiff

en: Snow depth map 20160420

en: Snow depth map 20120320

en: Snow depth map 20160126

en:
Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m
Because of very diffuse light conditions at time of image acquisition the quality of the resulting snow depth values are in some regions quite poor.

en: Snow depth map 20150415

en: Snow depth map 20100416

en: Snow depth map 20160309

en: Snow depth map 20140417

en: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.18 m

en:
The available datasets are snow depth maps with a spatial resolution of 2m generated from image matching of ADS 80/100 data. Image acquisition took place at peak of winter (time when the thickest snowpack is expected). The snow depth maps are the difference of a summer DSM from the winter DSM of the corresponding date . The summer DSM used is a product of image matching of ADS 80 data from summer 2013. In the available products buildings, vegetation and outliers were masked (set to NoData).
For the elimination of buildings the TLM layer (swisstopo) was used, because this layer might not represent exactly the
state of infrastructure at time of image acquisition, it is possible that mainly in dense settlement some buildings were not successfully masked. For the relevant area above treeline the masking of buildings showed good results. Vegetation got masked for a height above ground > 1m and was detected in a combination of summer and winter data sets. As Outliers were considered unrealistic snow depths caused by a failure of the image matching algorithm. Snow depths > 15m and smaller than < -15m were classified as outliers. Negative snow depth were kept, because of an uncertainty in image orientation accuracy. It is expected that in regions with negative snow depth also positive snow depth are underestimated by the same amount, which means that an estimation of snow volume should be carried out summing up the absolute values of snow depth (also the negative ones). For volume estimation in small regions the user has to take into account, that orientation accuracy of the images is roughly around 1-2 GSD (30cm), which propagates directly to the snow depth product. Areas which are not covered by snow got assigned a value of 0 as snow depth.

The work is published in:

Bühler, Y.; Marty, M.; Egli, L.; Veitinger, J.; Jonas, T.; Thee, P.; Ginzler, C., (2015). Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9 (1), 229-243. doi: 10.5194/tc-9-229-2015

aerial-imagery

display_name: aerial-imagery

dsm

display_name: dsm

image-matching

display_name: image-matching

snow-depth

display_name: snow-depth

snow-hydrology

display_name: snow-hydrology

snow-water-equivalent

display_name: snow-water-equivalent


lwf-beatenberg-long-term-research-site

title_for_slug: lwf-beatenberg-long-term-research-site

en: meteorological-measurements meteorological-data forest plot lwf swiss-forest-lab infrastructure

en: LWF Plot Beatenberg. Foto: Peter Waldner, 2009

en: Beatenberg Meteorological Data LWF

en:
![alt text](https://www.envidat.ch/dataset/7310b935-757f-4f27-b202-9f433c9882ab/resource/555b1a19-aff3-40be-9d6d-fea9967d5691/download/lwf_beatenberg.jpg "LWF Beatenberg")

LWF plot Beatenberg

- Community: Beatenberg / canton BE
- Date of installation: 25 September 1996
- Size of the plot: 2 ha
- Altitude: 1490-1532 m
- Mean slope: 66%
- Geology (in German): Helvetikum, Tertiär, Eozän; Hohgantsandstein
- Provisional soil type (WSL) : Gleyic Podzols
- Woodland association after EK72: 57: Sphagno-Piceetum calamagrostietosum villosae
- Main tree species: Picea abies
- Management system: high forest
- Silvicultural system: selection
- Top-height diameter (quadratic average diameter of the 100 thickest trees per ha): 46.4 cm
- Number of trees BHD >= 12 cm (2011): 851
- Maximum tree age: Picea abies 190-210 yr

More Information: https://www.wsl.ch/en/forest/forest-development-and-monitoring/long-term-forest-ecosystem-research-lwf/sites/beatenberg.html

forest

display_name: forest

infrastructure

display_name: infrastructure

lwf

display_name: lwf

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

plot

display_name: plot

swiss-forest-lab

display_name: swiss-forest-lab

en: LWF Beatenberg long-term research site


en: albedo uav forest-snow climate snow-modelling

en: Sodankylä (FIN) pine 2019

en: UAV-based LSA data collected in Sodankylae (FIN) between April and May 2019. The zip file contains one csv file per waypoint location, please refer to the following paper on further information on waypoint locations etc. (to be updated once published): Malle et al. (2021): Effect of forest canopy structure on wintertime Land Surface Albedo: Evaluating CLM5 simulations with in-situ measurements in Journal of Geophysical Research: Atmospheres (under review).

en: Davos Laret 2018

en: UAV-based LSA data collected in Davos Laret between January and May 2018. The zip file contains one csv file per waypoint location, please refer to the following paper on further information on waypoint locations etc. (to be updated once published): Malle et al. (2021): Effect of forest canopy structure on wintertime Land Surface Albedo: Evaluating CLM5 simulations with in-situ measurements in Journal of Geophysical Research: Atmospheres (under review).

en:
This data-set contains Land Surface Albedo (LSA) data obtained via a UAV sytem with up and downlooking shortwave radiation sensors, as described in the JGR-Atmospheres paper "Effect of forest canopy structure on wintertime Land Surface Albedo: Evaluating CLM5 simulations with in-situ measurements", by Malle et al. (2021, under review). This publication must be cited when using the data.

Data was collected across a large range of forest structures and solar angles in Switzerland (Davos Laret) and in Finland (Sodankylä). For each waypoint location at each site, data includes measured LSA, incoming SWR, reflected SWR and sunlit snow-view fraction alongside zenith angle, azimuth angle and measurement time (local time). Please refer to the abovementioned article for more detailed explanation.

albedo

display_name: albedo

climate

display_name: climate

forest-snow

display_name: forest-snow

snow-modelling

display_name: snow-modelling

uav

display_name: uav

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Wintertime UAV-based land surface albedo data over forested environments


en: meteo long-term swiss-forest-lab temperature meteorology wind-speed precipitation relative-humidity climate-change par

en: Site photo of the field station (NAF)

en: Site photo of the field station form the side.

en: Data plot of the forest station (NAB)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Field station data (NAF)

en: Data file.

en: Site aerial photo (Nationalpark)

en: Site aerial photo from both Nationalpark stations. Source: Google. 2016. Site aerial photo from both Nationalpark stations. Retrieved November 11, 2016, from https://www.google.ch/maps

en: Data plot of the field station (NAF)

en: Site photo of the forest station (NAB)

en: Site photo of the forest station from the side.

en: Forest station data (NAB)

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Nationalpark in Switzerland where one station is located within a natural coniferous forest stand (NAB) with mountain pine (_Pinus mugo_; 210 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NAF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Nationalpark is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

temperature

display_name: temperature

wind-speed

display_name: wind-speed

en: Nationalpark, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1997 onwards


en: extreme-events protection-forest bark-beetles natural-hazards drought compound-events forest-fire protective-effect

en: Conclusions and recommendations of the project (in German).

en: Factsheet summarising the key results of the study (in German).

en: Description of the study site, extreme event (trigger event) and informations about the survey.

en: Factsheet summarising the key results of the study (in French).

en: Factsheet summarising the key results of the study (in Italian).

en: Factsheet summarising the methods used in this project (in German).

en: Case study website

en: Page of the case study on the project website. It includes figures fo all questions of the survey and additional synthesis graphs.

en:
This file contains the anonymous answers to the survey for the case study in the protective forest, Val Mesolcina, GR, Switzerland within the BAFU Project "Wenn Risiken kumulieren - Analyse und Umgang mit unerwarteten Ereignissen und kombinierten Risiken".
The survey consists of two parts, based on different concepts: "top-down" and "bottom-up". Answers for both concepts are available in two different worksheets within the Excel file.

en:
This dataset contains the results of a case study analysing the potential impacts of a compound meteorological extreme event on the protective forest in the Val Mesolcina. These impacts were assessed in an experts survey. 29 Experts from practice, administration and science estimated the probabilities for a loss of the protective function due to a drought-related compound extreme event based on different hazard scenarios. The experts not only assessed these probabilities but also provided estimates about the reliability of the scenarios, other socio-economic consequences and options for adaptation.
This dataset contains the following information:
- Table with all (anonymised) answers from the survey
- Factsheets summarising the results and methods in German, French and Italian
- A detailed description of the study site and survey instructions
- Link to the project website wit illustrations for each individual question of the survey

bark-beetles

display_name: bark-beetles

compound-events

display_name: compound-events

drought

display_name: drought

extreme-events

display_name: extreme-events

forest-fire

display_name: forest-fire

natural-hazards

display_name: natural-hazards

protection-forest

display_name: protection-forest

protective-effect

display_name: protective-effect

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Experts survey protective forest and combined extremes in Val Mesolcina


en: wind-speed meteo swiss-forest-lab precipitation temperature meteorology climate-change par long-term relative-humidity

en: Field station data (NOF)

en: Data file.

en: Data plot of the forest station (NOB)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Site photo of the forest station (NOB)

en: Site photo of the forest station from the side.

en: Forest station data (NOB)

en: Data plot of the field station (NOF)

en: Site photo of the field station (NOF)

en: Site photo of the field station from the side.

en: Site aerial photo (Novaggio)

en: Site aerial photo from both Novaggio stations. Source: Google. 2016. Site aerial photo from both Novaggio stations. Retrieved November 15, 2016, from https://www.google.ch/maps

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Novaggio in Switzerland where one station is located within a natural deciduous forest stand (NOB) with Turkey oak (_Quercus cerris_; 70 yrs), sweet chestnut (_Castanea sativa_; 90 yrs) and silver birch (_Betula pendula_; 70 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, NOF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Novaggio is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

swiss-forest-lab

display_name: swiss-forest-lab

en: Novaggio, Switzerland: Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF), from 1996 onwards


en: antarctica snow sea-salt-aerosol ice arctic

en: Fig 1F_2

en: Individual data to mean shown in Figure 1F

en: Read Me

en: Description of the data tables

en: Fig 1B

en: Data in Figure 1B

en: Fib 1B_3

en: Individual data to mean shown in Figure 1B

en: Table 2

en: This table lists all NEXAFS data files in chronological order with PE carbon to oxygen signal intensity ratios -from which the atomic ratio were calculated in the paper - before ("preCtoO") and after ("postCtoO") each NEXAFS measurement. Also listed is the change in Na ("lossSodi"), O ("lossOxy"), Cl ("lossChlor"), and C ("lossCarb") signal intensity after the NEXAFS measurement compared to prior to the NEXAFS measurement.

en: Fig 1F_1

en: This table lists all data files in chronological order. "SampleTemp" refers to the reading of the PT-1000 at the side of the sample holder. "cellPressure" is the water vapour pressure during the measurements. From this, in presence of ice, the temperature of the ice sample can be calculated which is given in the column "iceTemp". "dT" is the difference, or temperature offset, between sensor's reading and the ice samples temperature. The offset is due to the sensor being mounted away from the cooled spot of the sample were it experiences heating from warmer parts of the sample holder. The off-set is used to calibrate the temperature sensor and the resulting temperature during the experiments is given in the column "temperature". "relHum" is the relative humidity above (supercooled) liquid and "concBrine" is the concentration of a NaCl solution in mol/l in equilibrium with ice at the experimental temperature. "Area" is the integrated PE signal.

en: Fig 1A

en: Data Figure 1A

en: Code

en: Matlab code to read and plot the data

en: Fig 1B_1

en: Fig 1B_2

en: Fig 1C

en: Data to Figure 1C

en: Fig 1D

en: Data to Figure 1D

en: Fig 1E

en: Data to Figure 1E

en: Laboratory experiments are presented on the phase change at the surface of sodium chloride – water mixtures at temperatures between 259 K and 240 K. High selectivity to the upper few nanometres of the frozen solution – air interface is achieved by using electron yield near-edge X-ray absorption fine structure (NEXAFS) spectroscopy. We present the NEXAFS spectrum of the hydrohalite.

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Data set on interfacial supercooling and the precipitation of hydrohalite in frozen NaCl solutions by X-ray absorption spectroscopy


en: forest-canopy upscaling energy-balance snow-modelling mass-balance

en: Hemispherical Photographs

en: Hemispherical images at the intersection points of the experimental plots at Laret (CH) and Sodankylä (FIN)

en: Canopy height model

en: Canopy height model of the lidar domain at Laret

en:
This dataset contains forest canopy structure data acquired in a spruce forest at Laret, Switzerland, and a pine forest at Sodankylä, Finland. Data include:

* Hemispherical photographs taken at transect intersection points of 13 experimental plots (40x40m each)
* a Canopy Height Model (tree height map) derived by rasterizing airborne LiDAR data, encompassing the entire simulation domain at Laret (150'000 m2)

These data provide the necessary basis for creating canopy structure datasets to be used as input to the forest snow snow model FSM2. These datasets, the model input derivatives and the radiation and snow modelling are described in detail in the following publication:

_Mazzotti, G., Webster, C., Essery, R., and Jonas, T. (2021) Improving the physical representation of forest snow processes in coarse-resolution models: lessons learned from upscaling hyper-resolution simulations. Water Resources Research 57, e2020WR029064. [doi: 10.1029/2020WR029064](https://doi.org/10.1029/2020WR029064)_

This publication must be cited when using the data.

 See also:
For additional information on the FSM2 model, see the corresponding [GitHub repository](https://github.com/GiuliaMazzotti/FSM2/tree/hyres_enhanced_canopy)

The datasets and the model have also been used in _Mazzotti et al. (2020) Process-level evaluation of a hyper-resolution forest snow model using distributed multi-sensor observations. [doi: 10.1029/2020WR027572](https://doi.org/10.1029/2020WR027572)

energy-balance

display_name: energy-balance

forest-canopy

display_name: forest-canopy

mass-balance

display_name: mass-balance

snow-modelling

display_name: snow-modelling

upscaling

display_name: upscaling

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: Forest canopy structure data for radiation and snow modelling (CH/FIN)


maintainer: Martin Schneebeli

en: weak-layer new-snow 3d-print 3d-model snow-cast depth-hoar rounded-snow snow

en: Description of snowtypes, filenames and other metadata

en: This file contains information about the stl-files of the different snow models. Snowtype (Schneeart), International Snow Classification, preview picture, notes about the origin of the snow, filename of the stl-data, and physical size of the model are given.

en: Snow models in STL-format

en: The zipped file contains all data described in the file 3d_snow_models_metadata. The stl-files should be ready for additive manufacturing.

en: The dataset contains several snow models in the Standard Tesselated Geometry File Format (stl) for 3D visualization, printing and additive manufacturing. Different snow types are available (new snow, rounded snow, depth hoar, buried surface hoar, graupel).

depth-hoar

display_name: depth-hoar

new-snow

display_name: new-snow

rounded-snow

display_name: rounded-snow

snow

display_name: snow

snow-cast

display_name: snow-cast

weak-layer

display_name: weak-layer


maintainer: Tessa Hegetschweiler

en: childhood recreational-activities forest teenagers adolescents

en: Questionnaire school survey

en: The questionnaire used in the survey at 8 schools aimed at teenagers in German.

en: Dataset survey at schools

en: The dataset of the questionnaire survey at schools in excel format.

en: Survey at schools 2017

en: The dataset of the questionnaire survey at schools in SPSS-format.

en: Dataset comments

en: The codebook to the dataset

en: The data results from a questionnaire survey conducted at 8 schools in the cantons Zurich, Aargau and St. Gallen. Respondents aged 13-22 years. The aim of the survey was to gain insight into teenagers' relationship to the forest, reasons for visiting or not visiting the forest and activities in the forest.

adolescents

display_name: adolescents

childhood

display_name: childhood

forest

display_name: forest

recreational-activities

display_name: recreational-activities

teenagers

display_name: teenagers

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Factors influencing teenagers' forest visit frequency


en: atree forest-clearances q-methodology nature-conservation offsetting reafforestation

en: ATREE Q-Methodology Statements on Forest Clearances Offsetting (short version in English)

en: This is a short version of the 34 statements in English, which might be more convenient for the analysis of the data.

en: ATREE Q-Methodology Statements on Forest Clearances Offsetting (original version in German)

en: These are 34 statements that were given the workshop participants (in German) to be sorted into a normal distribution grid according to the Q-Methodology procedure.

en: ATREE Q-Methodology Data on Forest Clearances Offsetting

en: The data was collected in a workshop setting and they thus conducted their sorts individually, but not in an interview setting together with the interviewer, but alone but in interaction with other workshop participants. Hence, they had the possibility to discuss in groups or also with a wider number of participants. The independence of the answers is thus not fully guaranteed, however, observation during the workshop suggests that the participants were all sufficiently self-dependent, were able to do the sorts based on their experience and expertise and were not influenced heavily by other perspectives. The data is anonymized insofar, as there are no names of individual participants and not even names of organizations but only of types organizationa. The data should be ready to be analyzed with the "qmethod" package in R (as of Feburary 2021). Please note that this also requires data on the statements which are also included here in Englisch (short version) and German (original version).

en: In Novdember 2019 about 19 experts on forest surface protection and forest clearances were invited to a workshop in order to discuss policy design and implementation problems regarding the offsetting of forest clearances. In Switzerland such offsetting can be provided under certain circumstances by implementing forest nature conservation measures in the forest instead of providing in-kind compensation, i.e. reafforestation on agricultural land. The workshop included the sorting of 34 statements – that were elaborated beforehand, partially also with help of the participants – according to the "Q-methodology" survey technique (participants arrange given statements about a certain subject into boxes that are normally distributed over a "agree - do not agree" answer scale). The participants included representatives from cantonal and national forest administrations, nature conservation NGOs, forest NGOs, spatial planning NGOs, private counseling enterprises as well as national, cantonal and regional forest owner organizations. The data allows a factor analytical differentiation of actors into groups with distinct positions towards forest clearance compensation as well as a positioning of these groups relative to each statement.

atree

display_name: atree

forest-clearances

display_name: forest-clearances

nature-conservation

display_name: nature-conservation

offsetting

display_name: offsetting

q-methodology

display_name: q-methodology

reafforestation

display_name: reafforestation

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: ATREE Q-methodology statement sorts on forest clearances offsetting in the forest


en: modeling forest forest-dynamics hydrology climate-change-impact

en: FORHYCS v 1.0.0 model code (28-10-2019)

en: Model code for FORHYCS as described in the Speich et al. discussion paper in GMDD. Includes code for the parent models PREVAH and TreeMig, as well as the new interface routines and output modules.

en: Documentation

en: Technical documentation for the FORHYCS model. Includes an overview of the model code; changes from the parent models PREVAH and TreeMig; a description of the file format for grid inputs/outputs and a description of the file structure on a HPC cluster.

en: Scripts and sample datasets v. 1.0.0

en: Scripts and sample files for the documentation of FORHYCS (version 1.0.0)

en: Link to FORHYCS in Github

en:
Model code, technical documentation and auxiliary files for the dynamic ecohydrological model FORHYCS (FORests and HYdrology under Climate change in Switzerland). FORHYCS combines two pre-existing models, the hydrological model PREVAH and the forest landscape model TreeMig.

License: GPL v3

climate-change-impact

display_name: climate-change-impact

forest-dynamics

display_name: forest-dynamics

hydrology

display_name: hydrology

modeling

display_name: modeling

en: FORHYCS v. 1.0.0 model code


en: switzerland ticino orientus-ishidae alnus-glutinosa map-genotype scaphoideus-titanus phytoplasma 16srv flavescence-doree alternative-vector

en: Features of the phytoplasma isolates

en: Features of the phytoplasma isolates analyzed in this work and reference strains, together with relative GenBank accession numbers and host.

en: Analyzed and infected specimens.

en: Number of analyzed and 16SrV-infected specimens collected on common alder trees and on yellow sticky traps (YST) placed inside the vineyard and corresponding infection rate.

en: Results of molecular analyses on a selection of the sampled symptomatic grapevines in Origlio.

en: Real-time PCR for 16SrV and 16SrXII phytoplasmas, and nested PCR and RFLP digestion (16SrV phytoplasma only). Cq; cycle quantification value; BDL: below detection limit; FDp: “Flavescence dorée” phytoplasma; BNp: “Bois noir” phytoplasma; +: positive response to real-time PCR test; -: negative response to real-time PCR test.

en: Leafhopper captures in vineyards.

en: Leafhoppers captured on yellow sticky traps (YST) placed in vineyards and sampled for molecular analyses. Counts may differ if the quality of the individual specimens was deemed as insufficient for the molecular analysis. Specimens of Scaphoideus titanus caught in Camorino were sampled but not analyzed.

en: Results of the molecular analyses conducted on the sampled common alder trees in Origlio, Camorino, and Montalbano.

en: Real-time PCR (conducted on all samples), and nested PCR and RFLP digestion (Origlio only). Cq; cycle quantification value; +: positive response to real-time PCR test; -: negative response to real-time PCR test.

en: Orientus ishidae (development stages L1-2; L3-5; and imago) caught with sweeping net on common alders per plot.

en: Number of sampling common alder trees (NAlders) and data regarding captures of O. ishidae (mean, standard deviation (SD), number of observations (NObservations) and total seasonal captures) are reported.

en: Plots description

en: Characteristics of the monitored vineyards, including the number of sampled common alders and the number of yellow sticky traps (YST) placed in the canopy.

en:
Flavescence dorée (FD) is a grapevine disease caused by associated phytoplasmas (FDp), which are epidemically spread by their main vector Scaphoideus titanus. The possible roles of alternative and secondary FDp plant hosts and vectors have gained interest to better understand the FDp ecology and epidemiology. A survey conducted in the surroundings of a vineyard in the Swiss Southern Alps aimed at studying the possible epidemiological role of the FDp secondary vector Orientus ishidae and the FDp host plant Alnus glutinosa is reported.

Data used for the publication.
Insects were captured by using a sweeping net (on common alder trees) and yellow sticky traps (Rebell Giallo, Andermatt Biocontrol AG, Switzerland) placed in the vineyard canopy. Insects were later determined and selected for molecular analyses.
Grapevines and common alder samples were collected using the standard techniques. The molecular analyses were conducted in order to identify samples infected by the Flavescence dorée phytoplasma (16SrV-p) and the Bois Noir phytoplasma (16SrXII-p). A selection of the infected sampled were further characterized by map genotype and sequenced in order to compare the genotypes in insects, grapevines and common alder trees.

alnus-glutinosa

display_name: alnus-glutinosa

alternative-vector

display_name: alternative-vector

flavescence-doree

display_name: flavescence-doree

map-genotype

display_name: map-genotype

orientus-ishidae

display_name: orientus-ishidae

phytoplasma

display_name: phytoplasma

scaphoideus-titanus

display_name: scaphoideus-titanus

switzerland

display_name: switzerland

ticino

display_name: ticino

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Alnus glutinosa (L.) Gaertn. and Orientus ishidae (Matsumura, 1902) share phytoplasma genotypes linked to the “Flavescence dorée” epidemics


en: dynamic-crack-propagation experiment snow-avalanche snow-mechanics propagation-saw-test crack-propagation

en: SNOWPACK modelling

en: The snow cover model SNOWPACK (version 3.60) was used to simulate the evolving snow stratigraphy at our field site. The model was driven with data from an automatic weather station which was located 100m next to the field site (FLS_bunker_snowpack.smet). The SNOWPACK initiation file (FLS_bunker_snowpack.ini) contains the selected model parameters that result in the modeled snow stratigraphy (FLS_bunker_snowpack.pro).

en: Sustained crack propagation index

en: Index of self-sustained crack propagation SSP (ssp_measured.xlsx) with time. The self-sustained crack propagation index SSP was also modelled for simulated snow stratigraphy (ssp_modelled.xlsx) using crack speed and critical cut length parameterizations from Heierli (2005) and Richter et al. (2019), respectively.

en: Snowpack data and crack propagation characteristics

en: Snowpack data includes the elastic modulus (stiffness properties) of the slab, the elastic modulus of the weak layer, and the specific fracture energy of the weak layer determined with a homogeneous and a layered slab model. During crack propagation, we measured the crack speed, touchdown distance, crack arrest length and energy dissipation due to compaction and dynamic fracture.

en: Videos of crack propagation

en: The videos show the cracking process in the Propagation Saw Tests (flat field). The upper panel shows strain on top of the recorded movie frames. The second row shows vertical (w, blue line) and horizontal (u, orange line) displacement fields. The third and fourth row show the first and second time derivatives, namely the velocity and acceleration field.

en:
This data set includes material and results described in the related research article:

Bergfeld, B., van Herwijnen A., Bobillier, G., Rosendahl P., Weißgraeber P., Adam V., Dual, J., and Schweizer, J.: Temporal evolution of crack propagation characteristics in a weak snowpack layer: conditions of crack arrest and
sustained propagation, Natural Hazards and Earth System Sciences, 23, 293-315, https://doi.org/10.5194/nhess-23-293-2023, 2023.

We performed a series of propagation saw test experiments, up to ten meters long, over a period of 10 weeks and analyzed these using digital image correlation techniques. We derived the elastic modulus of the slab, the elastic modulus of the weak layer and the specific fracture energy of the weak layer with a homogeneous and a layered slab model. During crack propagation, we measured crack speed, touchdown distance and the energy dissipation due to compaction and dynamic fracture. Our data set provides unique insight and valuable data to validate models.

crack-propagation

display_name: crack-propagation

dynamic-crack-propagation

display_name: dynamic-crack-propagation

experiment

display_name: experiment

propagation-saw-test

display_name: propagation-saw-test

snow-avalanche

display_name: snow-avalanche

snow-mechanics

display_name: snow-mechanics

educ

en: Education, culture and sport

en: EnviDat: the Environmental Data Portal

en: Time series data on dynamic crack propagation in long propagation saw tests


en: graubunden snow alpine3d-simulations climate-change switzerland

en: Simulation data

en: Reference data as well as the 2050 and 2099 scenarios for ARPEGE and ETHZ other RCMs available on demand)

en: Configuration file

en:
This is the simulation dataset from _"Response of snow cover and runoff to climate change in high Alpine catchments of Eastern Switzerland"_, M. Bavay, T. Grünewald, M. Lehning, Advances in Water Resources 55, 4-16, 2013

A model study on the impact of climate change on snow cover and runoff has been conducted for the Swiss Canton of Graubünden. The model Alpine3D has been forced with the data from 35 Automatic Weather Stations in order to investigate snow and runoff dynamics for the current climate. The data set has then been modified to reflect climate change as predicted for the 2021-2050 and 2070-2095 periods from an ensemble of regional climate models.

The predicted changes in snow cover will be moderate for 2021-2050 and become drastic in the second half of the century. Towards the end of the century the snow cover changes will roughly be equivalent to an elevation shift of 800 m. Seasonal snow water equivalents will decrease by one to two thirds and snow seasons will be shortened by five to nine weeks in 2095.

Small, higher elevation catchments will show more winter runoff, earlier spring melt peaks and reduced summer runoff. Where glacierized areas exist, the transitional increase in glacier melt will initially offset losses from snow melt. Larger catchments, which reach lower elevations will show much smaller changes since they are already dominated by summer precipitation.

climate-change

display_name: climate-change

graubunden

display_name: graubunden

snow

display_name: snow

en: Alpine3D simulations of future climate scenarios for Graubunden


yield

title_for_slug: yield

en:
Volume of stemwood with bark of all trees and shrubs starting at 12 cm dbh cut between two inventories. *In the calculation no D7/tree height data were used. The values calculated like this have not been corrected for bias, but allow for cantons or forest districts a more robust estimation of changes and could thus be better interpreted.

Citation:
 > _Abegg, M.; Brändli, U.-B.; Cioldi, F.; Fischer, C.; Herold-Bonardi, A.; Huber M.; Keller, M.; Meile, R.; Rösler, E.; Speich, S.; Traub, B.; Vidondo, B. (2014). Fourth national forest inventory - result tables and maps on the Internet for the NFI 2009-2013 (NFI4b). [Published online 06.11.2014] Available from World Wide Web http://www.lfi.ch/resultate/ Birmensdorf, Swiss Federal Research Institute WSL. [doi:10.21258/1057112](https://doi.org/10.21258/1057112)_

altitudinal-vegetation-zone

display_name: altitudinal-vegetation-zone

avalanches-silvaprotect

display_name: avalanches-silvaprotect

canton

display_name: canton

conifers-broadleaves

display_name: conifers-broadleaves

landslide-mudflow-silvaprotect

display_name: landslide-mudflow-silvaprotect

lower-higher-altitudinal-zones

display_name: lower-higher-altitudinal-zones

main-tree-species

display_name: main-tree-species

net-increment-star

display_name: net-increment-star

ownership

display_name: ownership

potential-cost-for-timber-harvesting

display_name: potential-cost-for-timber-harvesting

processes-in-channels-silvaprotect

display_name: processes-in-channels-silvaprotect

rockfall-silvaprotect

display_name: rockfall-silvaprotect

stage-of-stand-development

display_name: stage-of-stand-development

tree-species-woody-species

display_name: tree-species-woody-species

yield-star

display_name: yield-star

envidat

en: EnviDat is the WSL data portal providing unified and managed access to environmental monitoring and research data. The portal has the capability to host and publish data sets. Through the sharing of unique and high-value data sets worldwide, EnviDat fosters research and contributes to advancing environmental science.

en: Yield*