meteorological-measurements-lwf

en:
Continuous measurement of air temperature, relative humidity, wind speed and direction, global radiation, photosynthetic active radiation, UVB radiation, and precipation in an open field very close to the LWF plot as well as air temperature, relative humidity, wind speed, photosynthetic active radiation, and precipitation in the forest below the canopy.
 Purpose:
Recording meteorological conditions
 Manual Citation:
 * Martine Rebetez, Gustav Schneiter, 1997: Meteorologie. In: Brang P. (ed.) Aufnahmeanleitung LWF. Langfristige Waldökosystem-Forschung LWF, 4 S.
 *  Raspe  S,  Beuker  E,  Preuhsler  T,  Bastrup-Birk  A,  2016:  Part  IX:  Meteorological  Measurements.  In:  UNECE  ICP  Forests  Programme  Co-ordinating  Centre  (ed.):  Manual  on  methods  and  criteria  for  harmonized sampling, assessment, monitoring and analysis of the effects of air pollution on forests. Thünen  Institute  of  Forest  Ecosystems,  Eberswalde,  Germany,  14  p.  +  Annex  [http://icp-forests.net/page/icp-forests-manual](http://icp-forests.net/page/icp-forests-manual)
 Paper Citation:
 * Martine Rebetez,  Georg von Arx, Arthur Gessler, Elisabeth Graf Pannatier, John L. Innes, Peter Jakob, Markéta Jetel, Marlen Kube, Magdalena Nötzli, Marcus Schaub, Maria Schmitt, Flurin Sutter, Anne Thimonier, Peter Waldner, Matthias Haeni, 2018: Meteorological data series from Swiss long-term forest ecosystem research plots since 1997. Annals of Forests Science 75: 41: 1-7. [doi: 10.1007/s13595-018-0709-7](https://doi.org/10.1007/s13595-018-0709-7)
 *  Haeni, Matthias; von Arx, Georg; Gessler, Arthur; Graf Pannatier, Elisabeth; Innes, John L; Jakob, Peter; Jetel, Markéta; Kube, Marlen; Nötzli, Magdalena; Schaub, Marcus; Schmitt, Maria; Sutter, Flurin; Thimonier, Anne; Waldner, Peter; Rebetez, Martine (2016): Long-term forest meteorological data from the Long-term Forest Ecosystem Research Programme (LWF) in Switzerland, from 1996-2016. PANGAEA, [doi: 10.1594/PANGAEA.868390](https://doi.org/10.1594/PANGAEA.868390)
 *  Gustav Schneiter, Peter Jakob, Martine Rebetez, 2004: Sieben Jahre meteorologische Datenerfassung im Schweizer Wald. Infoblatt Forschungsbereich Wald, Vol 17: 4-6 [---](https://www.parcs.ch/snp/pdf_public/2011_schneiteretal_datenerf_wald_wsl_2004.pdf)
 *  Jakob P, Sutter F, Waldner P, Schneiter G (2007) Processing remote gauging-data. In: Gomez J. M., Sonnenschein M., Müller M., Welsch H., Rautenstrauch C. (ed.) Information Technologies in Environmental Engineering ITEE 2007, Third International ICSC Symposium, Springer, Berlin, Heidelberg, 211-220.

en: lwf icp-forests meteorological-measurements swiss-forest-lab long-term-forest-ecosystem-research

en: Meteorological measurements LWF

title_for_slug: meteorological-measurements-lwf

icp-forests

display_name: icp-forests

long-term-forest-ecosystem-research

display_name: long-term-forest-ecosystem-research

lwf

display_name: lwf

meteorological-measurements

display_name: meteorological-measurements

swiss-forest-lab

display_name: swiss-forest-lab


urban-birds-point-counts-data

$oid: OBSOLETE

en:
The study area included the cities of Basel, Lugano and Zurich. The sampling design reflected four main city districts related to four categories of tree cover (Figure 1): 1) industrial/commercial areas, 0-20% tree cover; 2) residential areas, 20-40% tree cover; 3) urban parks and cemeteries, 40-60% tree cover; 4) peri-urban forests (natural/semi-natural forests), 60-100% tree cover. The tree cover gradient was evaluated across a square grid with a square side length of 100 m. For each square, we evaluated the area covered by urban trees using the Urban Atlas Street Tree Layer 2018 (European Union’s Copernicus Land Monitoring Service information, 2021).
In each city, we established eight transects of 1.2 km, two for each tree cover category. Transects crossed contiguous grid squares belonging to the same tree cover categories as much as possible. We performed aural-visual point counts of birds every 200 m along each transect (six points per transect) during the breeding season (April-June 2024) (Bibby et al., 2000). The transects were walked at the time of highest activity of birds, which is from thirty minutes after sunrise until 4 hours later. Each transect was walked twice, 20-60 days apart, to account for imperfect detection of birds and sample completeness (Balestrieri et al., 2017; Kéry et al., 2005).

en: periurban environmental-gradients spatially-distributed-sampling urban biodiversity birds

envidat

approval_status: approved

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.

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

en: Urban birds point counts data

title_for_slug: urban-birds-point-counts-data

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: XLS

biodiversity

display_name: biodiversity

birds

display_name: birds

environmental-gradients

display_name: environmental-gradients

periurban

display_name: periurban

spatially-distributed-sampling

display_name: spatially-distributed-sampling

urban

display_name: urban


en:
This dataset contains the experimental results described in Bergfeld et al. (2025). It includes three Propagation Saw Test (PST) experiments, each approximately 9 m long, performed side-by-side on a 37° slope. For each PST, we provide the full field of view along the crack-propagation direction. For the second and third PSTs, we additionally provide close-up recordings focused on the weak layer where cracking occurred.
All data are supplied as netCDF files containing displacement and strain measurements derived from Digital Image Correlation (DIC) analysis. Metadata describing dimensions and units are stored directly within the netCDF files. We recommend using the xarray package in Python to read and work with these datasets.
All figures presented in Bergfeld et al. (2025) can be reproduced using the included Python scripts.
Information about the snowpack is provided in PDF, pickle, and CAAML file formats.

en: dry-snow-avalanche crack-propagation crack-speed weak-layer snow

en: Sub-Rayleigh to supershear fracture transition in long Propagation Saw Tests

en:
Resource Title: fig4.ipynb
    Size: 138010 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/f91414e4-48e5-4e0e-a3ff-c1757b83a77f/download/fig4.ipynb
    Description: Jupyter script to load the netcdf files and reproduce Figure 4 from the related publication.

format: OCTET

en:
Resource Title: fig2.ipynb
    Size: 280950 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/19389651-d793-485f-883e-f9eac407d711/download/fig2.ipynb
    Description: Jupyter script to load the netcdf files and reproduce Figure 2 from the related publication.

en:
Resource Title: Emod_parametrizations.py
    Size: 3309 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/fb277441-199d-4cef-8822-2f83a98c1265/download/emod_parametrizations.py
    Description: Emodul parametrizations for snow. Some functions from this script are imported from the plotting scripts.

en:
Resource Title: PST2_full.nc
    Size: 95474900 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/05a3cbfe-c5cd-4357-8ae3-c93787d7262c/download/pst2_full.nc
    Description: netCDF file of dispalcement and strain measurement of PST2 in full view perspective.

en:
Resource Title: PST2_closeup.nc
    Size: 5029545808 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/b37dfe4f-1477-4b3c-a979-a50891104ce8/download/pst2_closeup.nc
    Description: netCDF file of dispalcement and strain measurement of PST2 in closeup view.

en:
Resource Title: PST3_closeup.nc
    Size: 5029545770 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/53aad081-49f3-4524-81fd-5ad482a41d60/download/pst3_closeup.nc
    Description: netCDF file of displacement and strain measurement of PST3 in closeup view.

en:
Resource Title: PST3_full.nc
    Size: 63991645 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/3fbea48d-4def-40a1-b80b-6298467c098a/download/pst3_full.nc
    Description: netCDF file of dispalcement and strain measurement of PST3 in full view perspective.

en:
Resource Title: fig3.ipynb
    Size: 217503 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/137c67a3-5ee2-4aa5-bd4b-8d2aedc29aad/download/fig3.ipynb
    Description: Jupyter script to load the netcdf files and reproduce Figure 3 from the related publication.

en:
Resource Title: 202101191100.SimpleProfile.caaml
    Size: 20239 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/11c65ad1-4d24-48f9-a4b4-d5ab446f0327/download/202101191100.simpleprofile.caaml
    Description: manual profile taken next to the PSTs. Open the caaml-file using niviz.org

en:
Resource Title: 202101191100.SimpleProfile.pkl
    Size: 3092 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/4e0e7212-86dd-427a-803d-f5ce2e99dc17/download/202101191100.simpleprofile.pkl
    Description: pickled version of the manual profile. read into python with pickle.  E.g. given the density is used in plotting scripts.

en:
Resource Title: snowprofile_87828_de.pdf
    Size: 117573 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/13e725eb-cdcc-4741-b604-5f6e9b20dae5/download/snowprofile_87828_de.pdf
    Description: pdf Version of the manual profile taken next to the PSTs

format: PDF

media_type: application/pdf

en:
Resource Title: PST1_full.nc
    Size: 4820520982 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/ff1a1d3b-4a55-4efc-ae5b-7f4f95a71a9c/download/pst1_full.nc
    Description: netCDF file of dispalcement and strain measurement of PST1 in full view perspective.

en:
Resource Title: img_ref.tif
    Size: 256122 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/eee898b4-1047-488b-a5a7-c9538f9fe39b/download/img_ref.tif
    Description: reference frame used for Digital image correlation of the video of PST1

format: TIFF

media_type: image/tiff

en:
Resource Title: models.py
    Size: 5763 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/938ce90f-e917-4838-af40-e2e161a22122/resource/584604ff-1cfb-4900-b429-652991451516/download/models.py
    Description: Some functions from this script are imported from the plotting scripts.

crack-propagation

display_name: crack-propagation

crack-speed

display_name: crack-speed

dry-snow-avalanche

display_name: dry-snow-avalanche

snow

display_name: snow

weak-layer

display_name: weak-layer


en: We modelled the global distribution of 730 amphibian, 1276 reptile, and 1961 mammal species globally as a function of current climate at a 0.5° spatial resolution using four different predictor groups composed of different combinations of input variables: mean climatic conditions, spatial climatic variability, and temporal (interannual) climatic variability.

en: interannual-climate-variability reptiles species-distribution-models chelsa range-maps climate-variablity iucn amphibians sdm generalized-linear-models mammals generalized-additive-models random-forests niche-models

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: EnviDat: the Environmental Data Portal

en: Global species distributions for mammals, reptiles, and amphibians

envi

en: Environment

en:
Resource Title: amphibials_metadata
    Size: 18938 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/5a534bed-71fa-4a48-8fe5-66ca9a4c820f/resource/9bff87c6-e1ce-4553-accb-43af8eaca72e/download/amphibians_metadata.txt
    Description: File containing the record dimension, genus, and species of the respective netcdf files

format: TXT

media_type: text/plain

en:
Resource Title: Mammals
    Size: 3650722202 bytes
    Format: application/zip
    URL: https://envicloud.os.zhdk.cloud.switch.ch/doi/envidat.354/mammals.zip
    Description: Species distribution models based on different climate predictor groups

format: ZIP

media_type: application/zip

en:
Resource Title: Reptiles
    Size: 2147483648 bytes
    Format: application/zip
    URL: https://envicloud.os.zhdk.cloud.switch.ch/doi/envidat.354/reptiles.zip
    Description: Species distribution models based on different climate predictor groups

en:
Resource Title: reptiles_metadata
    Size: 32524 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/5a534bed-71fa-4a48-8fe5-66ca9a4c820f/resource/fa2b6ee3-5067-4eb4-b8a0-fc1cb256a637/download/reptiles_metadata.txt
    Description: File containing the record dimension, genus, and species of the respective netcdf files

en:
Resource Title: Amphibians
    Size: 1181116006 bytes
    Format: application/zip
    URL: https://envicloud.os.zhdk.cloud.switch.ch/doi/envidat.354/amphibians.zip
    Description: Species distribution models based on different climate predictor groups

en:
Resource Title: mammals_metadata
    Size: 54466 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/5a534bed-71fa-4a48-8fe5-66ca9a4c820f/resource/4589c081-818c-4873-8b15-8f399464b434/download/mammals_metadata.txt
    Description: File containing the record dimension, genus, and species of the respective netcdf files

en:
Resource Title:
    Size: 1548568 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5a534bed-71fa-4a48-8fe5-66ca9a4c820f/resource/b01e0b24-8806-4cfc-b9eb-550fe29e4a40/download/climate_predictors.zip
    Description: File containing the climate predictors as SAGA grid files (.sgrd)

en:
Resource Title:
    Size: 4848 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/5a534bed-71fa-4a48-8fe5-66ca9a4c820f/resource/09bc5a49-e1ef-4491-928e-6c4440fad9d1/download/readme.txt
    Description: Readme file containing the file naming convention, file dimensions, and variable names

amphibians

display_name: amphibians

chelsa

display_name: chelsa

climate-variablity

display_name: climate-variablity

generalized-additive-models

display_name: generalized-additive-models

generalized-linear-models

display_name: generalized-linear-models

interannual-climate-variability

display_name: interannual-climate-variability

iucn

display_name: iucn

mammals

display_name: mammals

niche-models

display_name: niche-models

random-forests

display_name: random-forests

range-maps

display_name: range-maps

reptiles

display_name: reptiles

sdm

display_name: sdm

species-distribution-models

display_name: species-distribution-models


en:
In order to use the QGIS plugin ‘Seilaplan’ for digital cable line planning, a digital terrain model (DTM) is required. The plugin ‘Swiss Geo Downloader’, which is available for the open source geoinformation software QGIS, allows freely available Swiss geodata to be downloaded and displayed directly within QGIS. It was developed in 2021 by Patricia Moll in collaboration with the Swiss Federal Institute for Forest, Snow and Landscape Research WSL. In this tutorial we describe how to download the high accuracy elevation model ‘swissALTI3D’ with the help of the ‘Swiss Geo Downloader’ and how to use it for digital planning of a cable line with the plugin ‘Seilaplan’. Please note that the tutorial language is German!
Link to the Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader
Link to Seilaplan website: https://seilaplan.wsl.ch
*********************
Für die Verwendung des QGIS Plugins Seilaplan zur digitalen Seillinienplanung ist ein digitales Höhenmodell (DHM) nötig. Das Plugin Swiss Geo Downloader, welches für das Open Source Geoinformationssystem QGIS zur Verfügung steht, ermöglicht frei verfügbare Schweizer Geodaten direkt innerhalb von QGIS herunterzuladen und anzuzeigen. Es wurde 2021 von Patricia Moll in Zusammenarbeit mit der eidgenössischen Forschungsanstalt Wald, Schnee und Landschaft WSL entwickelt. In diesem Tutorial beschreiben wir, wie man mit Hilfe des Swiss Geo Downloaders das hochgenaue Höhenmodell swissALTI3D herunterladen und für die Seillinienplanung mit dem Plugin Seilaplan verwenden kann.
Link zum Swiss Geo Downloader: https://pimoll.github.io/swissgeodownloader
Link zur Seilaplan-Webseite: https://seilaplan.wsl.ch

en: digital-planning qgis-plugin seilaplan cable-yarding digital-elevation-model swiss-geo-downloader open-source geoinformation-system swiss-geodata

en: Seilaplan Tutorial: DTM download with SwissGeoDownloader

en:
Resource Title: View video on youtube!
    Size: 1024 bytes
    Format: No Info
    URL: https://youtu.be/u7WRrO3GplI
    Description:

en:
Resource Title: Herunterladen des DHM mit SwissGeoDownloader
    Size: 429428137 bytes
    Format: video/mp4
    URL: https://www.envidat.ch/dataset/659dc637-e0ca-4393-9f07-13b04290d6ec/resource/05723528-b1c9-4476-a69b-18327d823588/download/seilaplan_tutorial_1_swissgeodownloader.mp4
    Description:

cable-yarding

display_name: cable-yarding

digital-elevation-model

display_name: digital-elevation-model

digital-planning

display_name: digital-planning

geoinformation-system

display_name: geoinformation-system

open-source

display_name: open-source

qgis-plugin

display_name: qgis-plugin

seilaplan

display_name: seilaplan

swiss-geo-downloader

display_name: swiss-geo-downloader

swiss-geodata

display_name: swiss-geodata


chelsacerra-daily

en:
CHELSA is a mechanistic downscaling model that links large-scale atmospheric conditions with local topographic factors to produce very high-resolution climate data. It includes commonly used climate variables for impact modeling, such as air temperature, precipitation, humidity, solar radiation, wind speed, and derived variables.
CHELSAcerra daily is a high resolution climate dataset for air-temperatures generated with the CHELSA downscaling model using the Copernicus regional reanalysis for Europe (CERRA).
Daily summaries are provided for: Daily Mean Near-Surface Air Temperature

en: reanalysis europe air-temperature climate maximum-temperature minimum-temperature

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: CHELSAcerra-daily

title_for_slug: chelsacerra-daily

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2000
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2000%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1996
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1996%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2005
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2005%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1991
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1991%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2014
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2014%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2008
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2008%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1986
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1986%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2002
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2002%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1998
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1998%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2013
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2013%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1997
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1997%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1999
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1999%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2007
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2007%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2011
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2011%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1993
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1993%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1995
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1995%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2015
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2015%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2001
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2001%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1989
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1989%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1987
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1987%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2004
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2004%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2006
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2006%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2012
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2012%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1992
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1992%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2009
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2009%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2010
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2010%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 2003
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F2003%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1988
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1988%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1990
    Size: 1 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1990%2FCERRA%2F
    Description:

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1985
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1985%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

en:
Resource Title: Daily Mean Near-Surface Air Temperature 1994
    Size: 16777216 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Feurope%2Fdaily%2Ftas%2F1994%2FCERRA%2F
    Description: Daily Mean Near-Surface Air Temperature

air-temperature

display_name: air-temperature

climate

display_name: climate

europe

display_name: europe

maximum-temperature

display_name: maximum-temperature

minimum-temperature

display_name: minimum-temperature

reanalysis

display_name: reanalysis


en:
Recent publications about declines in arthropod biomass, abundance and species diversity
raise concerns and call for measures. Agricultural intensification is likely one cause for the negative trends. But rare long-term arthropod surveys conceal trends in arthropod communities in agricultural land. Here, we report about a standardized sampling of arthropod fauna in a Swiss agricultural landscape, repeated over 32 years (1987, 1997 and 2019). We sampled 8 sites covering 4 semi-natural and agricultural habitat types. Four trap types  were used to capture a wide range of flying and ground dwelling arthropods between May and July. Over the three sampling periods, 58’255 specimens of 1’343 species were analysed. Mean arthropod biomass, abundance and species richness per trap was significantly higher in 2019 than in prior years and gamma diversity of the study area was highest in 2019. Biomass and abundance increased stronger in the flight traps than in the pitfall traps. The implementation of agri-environmental schemes has improved habitat quality since 1993, while landscape composition and pesticide and fertilizer use remained stable over the study period, both contributing to the findings. The results of this study contrast with outcomes of comparable investigations and highlight the importance of further long-term investigations on arthropod dynamics.
Data are provided on request to contact person against bilateral agreement.

en: insect-decline switzerland biodiversity long-term time-series

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: EnviDat: the Environmental Data Portal

en: Arthropod biomass, abundance and species richness trends over 32 years in the agricultural Limpach valley, Switzerland

envi

en: Environment

en:
Resource Title: Climate data
    Size: 267 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/b53622ce-6ad7-4def-b009-e5d21ceeae5a/download/climaaddition.csv
    Description: Additional climate data on climate trend

format: CSV

media_type: text/csv

en:
Resource Title: Body size lookup-table
    Size: 7775 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/71e46f93-be9a-4805-b83a-3033447ff616/download/koerpergroessen_aculeata_edjf.csv
    Description: Aculeata

en:
Resource Title: Capture data with size and mass
    Size: 2804030 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/310ccd7a-b1d0-4ab1-99e4-1ba70e552fc5/download/data_publication_20210221.csv
    Description: Complete capture data including body sizes and biomass values

en:
Resource Title: Body size lookup-table
    Size: 6456 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/5ed0e1e9-bd33-4c8b-ac7e-8c4ec47deafc/download/koerpergroessen_heteroptera_edjf.csv
    Description: Heteroptera

en:
Resource Title: Master thesis of Regula Gygax, 1999, at University of Zürich
    Size: 5380429 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/bc0a4717-49ee-4120-aa6c-8c7dec773577/download/regula-gygax-1999-diplomarbeit-uni-zh.pdf
    Description: The study is comparing in 1997 the trapping efficiency of a newly developed combination trap with traditional window traps and yellow pan traps. Study locations in the Limpach valley matched with a subset from a larger study, which was conducted in 1987.

en:
Resource Title: Climate data
    Size: 44128 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/e1d5afa9-530a-4b4e-99e3-d43b6ca613cc/download/climate_data_879719_jan_july.csv
    Description: Climate data of the respective sampling years

en:
Resource Title: Body size lookup-table
    Size: 2057 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/4f8eb204-a9be-41d5-86a4-a2bb2c394169/download/koerpergroessen_syrphidae_edjf.csv
    Description: Syrphidae

en:
Resource Title: R code
    Size: 14746 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/0e13f98d-7529-451b-80fc-72d6a2ecf76b/download/20201111_dataediting.r
    Description: R code for data editing

en:
Resource Title: Species number and abundances per trap
    Size: 56123 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/1f32e64c-1d0f-44ac-a584-7c62c053d185/download/trap_data_publication20210221.csv
    Description: Sum of species and abundances listed per trap

en:
Resource Title: Body size lookup-table
    Size: 17437 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/56e5590a-b1aa-4ba5-8ad2-6f839c6b3b85/download/koerpergroessen_carabidae_edjf.csv
    Description: Carabidae

en:
Resource Title: Body size lookup-table
    Size: 16314 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/ba8c3d6b-b809-4e42-a0e4-6a858a9c7636/download/koerpergroessen_coleoptera_edjf.csv
    Description: Coleoptera

en:
Resource Title: Limpach1987+1997+2019_ArtInd.sql
    Size: 4269 bytes
    Format: application/x-sql
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/38baef03-5b46-4894-ba32-e0f6307c7b62/download/limpach198719972019_artind.sql
    Description: SQL query executed on WSL Fauna Database to retrieve the data

en:
Resource Title: Input data - species list and trophic guilds
    Size: 163154 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/44cb422b-d09d-49b7-94fd-3b3648ad4fce/download/artliste_mittrophicguild.csv
    Description: List of found species and associated trophic guild

en:
Resource Title: Body size lookup-table
    Size: 1782 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/290e0cfa-857f-4ddd-940d-96076d736419/download/koerpergroessen_formicidae_edjf.csv
    Description: Formicidae

en:
Resource Title: Body size lookup-table
    Size: 47769 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/91417163-72ac-4f71-9c80-b6fed1f39218/download/koerpergroessen_araneae_edjf.csv
    Description: Araneae

en:
Resource Title: Limpach1987+1997+2019_ArtInd.csv
    Size: 5148268 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/a0d555bb-1dc3-4c39-884c-a6366438809a/download/limpach198719972019_artind.csv
    Description: Data extract from WSL Fauna Database containing arthropod species and abundance data from 1987, 1997, 2019

en:
Resource Title: Fused catching data 1987, 1997, 2019
    Size: 5216910 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/373100d8-43f4-476b-9678-d40cc4fa47b0/download/limpach198719972019_artind.csv
    Description: Complete dataset of species and abundances per year an trap

en:
Resource Title: Species incidence per year
    Size: 30771 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/96edac02-f93b-44e3-95e0-b9e7c2dcddf1/download/incidence_freq_20210221.csv
    Description: Total abundance of species per year

en:
Resource Title: Body size lookup-table
    Size: 44183 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/2a8f6d75-ff31-41cc-bed4-7b90b6d579f0/download/koerpergroessen_staphylinidae_edjf.csv
    Description: Staphylinidae

en:
Resource Title: Body size lookup-table
    Size: 617 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/bb63365b-4971-4992-af92-cdcfbf49e7c8/download/koerpergroessen_neuropteroidea_edjf.csv
    Description: Neuropteroidae

en:
Resource Title: R code
    Size: 38710 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/888eb6a0-e541-4296-ba26-b43a87a6a938/download/20220818_dataanalysisdef.r
    Description: R code for data analyses

en:
Resource Title: Sites and traps
    Size: 8117 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e6e78c74-8f63-4fc9-a651-80b47db27354/resource/325305be-ff93-48c4-8c16-a3a4e37663ab/download/limp_sites_lookup.csv
    Description: Lookup table of trap and site locations

biodiversity

display_name: biodiversity

insect-decline

display_name: insect-decline

long-term

display_name: long-term

switzerland

display_name: switzerland

time-series

display_name: time-series


en:
Hydrometerological and ecohydrological time series from Sagehen Creek and Independence Creek, Sierra Nevada, USA, illustrating hydrological responses to daily cycles in snowmelt and evapotranspiration forcing.
Data include 30-minute time series of
- weather variables,
- sap flow fluxes,
- groundwater levels (in two riparian transects of shallow groundwater wells),
- and stream stages (at 12 sites spanning a 500-meter elevation gradient),
and daily time series of
- temperature, precipitation, and snow water equivalent at three nearby snow telemetry stations
- diel cycle index values for groundwater levels and stream stages,
- and MODIS normalized difference snow index (NDSI) and enhanced vegetation index (EVI2) values averaged over selected subcatchments.
Google Earth Engine scripts for extracting the MODIS data are also provided.

en: sap-flow diel-cycle groundwater evapotranspiration diurnal-cycle ecohydrology streamflow snowmelt

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: EnviDat: the Environmental Data Portal

en: Daily cycles in solar flux, snowmelt, transpiration, groundwater, and streamflow at Sagehen and Independence Creeks, Sierra Nevada, USA

envi

en: Environment

en:
Resource Title: Subcatchment polygons
    Size: 24333 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/5b6edcd5-514b-4928-bf8c-5d1b475b59e9/download/google-earth-engine-subcatchment-polygons.txt
    Description: Subcatchment polygons for use in the Google Earth Engine scripts.

en:
Resource Title: Metadata
    Size: 150575 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/2376965d-33fc-4c95-842c-c788d5d22830/download/sagehen-and-independence-data-archive-metadata.pdf
    Description: Column descriptions for both data files, and map coordinates for all measurement locations.

en:
Resource Title: 30-minute time series
    Size: 20691717 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/839acf4c-db88-4743-9de4-13859430facf/download/sagehen-and-independence-30min-data-for-archive.txt
    Description: 30-minute hydrometeorological and ecohydrological time series.

en:
Resource Title: MODIS EVI2 script
    Size: 5924 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/03332157-eed1-47a2-8eb9-15c4963f66cc/download/google-earth-engine-script-modis-evi2-averages.txt
    Description: Google Earth Engine script for computing MODIS two-band enhanced vegetation index (EVI2) values and averaging them over subcatchments.

en:
Resource Title: Daily time series
    Size: 758116 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/1273e282-0cf2-4ac1-8676-187bb027ccbe/download/sagehen-and-independence-daily-data-for-archive.txt
    Description: Daily hydrometeorological and ecohydrological time series

en:
Resource Title: MODIS NDSI script
    Size: 5976 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e9a393f6-f3fe-4917-b533-249eeefbde5b/resource/88a7c3f1-0623-435d-9e93-f9a463b0211d/download/google-earth-engine-script-modis-ndsi-averages-excluding-cloudy-pixels.txt
    Description: Google Earth Engine script for computing MODIS normalized difference snow index (NDSI) values and averaging them over subcatchment areas.

diel-cycle

display_name: diel-cycle

diurnal-cycle

display_name: diurnal-cycle

ecohydrology

display_name: ecohydrology

evapotranspiration

display_name: evapotranspiration

groundwater

display_name: groundwater

sap-flow

display_name: sap-flow

snowmelt

display_name: snowmelt

streamflow

display_name: streamflow


en:
License: GPL-v2
The R script presents an advanced sampling approach for monitoring biodiversity on agricultural land by combining multiple objectives and integrating environmental and geographic space.
The example demonstrates the first-stage selection of squares (km2) in the ALL-EMA sampling design using modern sampling techniques such as unequal probability sampling with fixed sample size, balanced sampling, stratified balancing and geographic spreading. Sampling is done with unequal probabilities and weights defined by power allocation to give equal weight to extrapolations to the total agricultural area of Switzerland and two stratifications of predefined interest (regions and agricultural production zones). Calibration is used to limit the distribution of the sampling weights. The sample sizes are almost fixed within the strata and evenly distributed across the years of a temporal rotation plan, which is favourable for the organisation of the field survey. Sampling also ensures an optimal (annual) distribution across geographic space, including altitude. Despite the complexity of the sampling, estimation based on probability theory is straightforward.
Ecker, K.T., Meier, E.S. & Tillé, Y. 2023. Integrating spatial and ecological information into comprehensive biodiversity monitoring on agricultural land. Environmental Monitoring and Assessment 195.

en: habitat vegetation multi-stage balanced-sampling unequal-probability

en: R script and input data for "ALL-EMA sampling design"

en:
Resource Title: R script
    Size: 10670 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/0b303fb7-17fc-4910-af8f-dbee54c0d093/resource/2fa8e0c9-acbb-4a25-bb8e-79c76908a3b7/download/sample_selection_s1.r
    Description:

en:
Resource Title: data
    Size: 22605 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/0b303fb7-17fc-4910-af8f-dbee54c0d093/resource/89264e93-545c-4794-b6eb-46247ec92310/download/s0.csv
    Description:

balanced-sampling

display_name: balanced-sampling

habitat

display_name: habitat

multi-stage

display_name: multi-stage

unequal-probability

display_name: unequal-probability

vegetation

display_name: vegetation


defoliation-growth-data

en:
Using a literature review extracted data from 26 published papers which had data on individual tree defoliation and growth relationships In Europe.
This data set includes 415 defoliation-growth data points from 16 different tree species covering 15+ countries in Europe. Growth metrics used in individual papers were different, and included increments in terms of volume, tree rings width, radial growth, basal area and biomass. All growth metrics were converted into relative growth (presented in this dataset), expressed as a percentage of the growth of progressively defoliated trees in relation to the growth of those trees adopted as reference (control) defoliation level (i.e. the growth of the lowest defoliation level in each study was used as the reference growth point).

en: defoliation tree-growth forest-health relative-growth literature-review

en: Defoliation-Growth data

title_for_slug: defoliation-growth-data

defoliation

display_name: defoliation

forest-health

display_name: forest-health

literature-review

display_name: literature-review

relative-growth

display_name: relative-growth

tree-growth

display_name: tree-growth


en:
Plant ecophysiological and associated environmental data for two tree species (*Fagus sylvatica* and *Quercus pubescens*) grown for five years in a factorial open-top climate chamber experiment (Model Ecosystem Facility, Birmensdorf, Switzerland) to test the long-term effects of heat (+5 °C) and soil drought (irrigation reduced by 50%). n = 4 trees per species and treatment, n = 48 trees total.
 Included data sheets:
- Environmental_Data.csv: Chamber-level environmental recorded every 10 minutes
- Tleaf.csv: Leaf temperatures recorded every 10 minutes
- Gas_exchange.csv: Leaf-level gas exchange data taken diurnally on four days during the growing season
- Leaf_traits.csv: Leaf functional traits
- TSMs_HSMs.csv: Photosynthetic thermal tolerance and leaf water potential data, summarized also in terms of leaf thermal safety margins and hydraulic safety margins, collected 3-4 times during the growing season
- Scorch.csv: Leaf-level leaf scorching data, including leaf thermal safety margins and scorching occurrence and presence, summarized by date

en: quercus-pubescens thermal-safety-margins hot-drought thermoregulation gas-exchange fagus-sylvatica leaf-scorching functional-traits hydraulic-safety-margins

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: EnviDat: the Environmental Data Portal

en: Hydraulic stress limits thermal acclimation in trees under chronic drought

en:
Resource Title: Leaf_traits.csv
    Size: 7772 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/eaf9d8ce-80f5-489f-af97-e80760927aee/download/leaf_traits.csv
    Description: Tree-level leaf functional trait data.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
 	- Species: Tree species
	- Leaf_width (cm)
	- Leaf_area (cm^2)
	- Stomatal_density (count per cm^2)
	- Pore_length: Stomatal pore length (micrometers)
	- Guard_cell_width: Stomatal guard cell width (micrometers)
	- Leaf_thickness (mm)
	- Epidermal_thickness (mm)
	- Parenchyma_thickness (mm)
	- Parenchyma:Epidermis: Ratio between parenchyma and epidermal thickness
	- Reflectance: Reflectance of photosynthetically active radiation (400-700), fraction
	- Transmittance: Transmittance of photosynthetically active radiation (400-700), fraction
	- Absorptance: Absorptance of photosynthetically active radiation (400-700), fraction
	- Absorbance: Optical absorbance of photosynthetically active radiation (400-700 nm), unitless
	- g1: Medlyn-style stomatal slope calculated with Licor LI6800 data

en:
Resource Title: Scorch.csv
    Size: 129956 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/e153f13e-330e-4c0a-8cff-59e625dc7e7c/download/scorch.csv
    Description: Tree-level leaf scorching occurrence and severity data summarized by date with daily leaf thermal safety margins.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Date (MM/DD/YYYY)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Species: Tree species
	- Tleaf: Leaf temperature (degrees C) *measured by an infrared sensor integrated into the Cavicam
	- Tcrit: Critical thermal threshold of Photosystem II (degrees C) *daily entries inherit the Tcrit measured onthe next measurement date and applied to the interval preceding it (or are forward-filled when Tcrit could not be estimated in August or September)
	- TSM: Leaf thermal safety margin (difference between Tcrit and Tleaf, in degrees C)
	- Scorch_binary: Binary indicating whether scorching occurred on that date (0 = no, 1 = yes)
	- Percent_affected: Percent of the camera window affected by scorching during a scorching event

en:
Resource Title: README.txt
    Size: 8090 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1f818ee5-bfba-4996-b8fb-e6dc1c96fbb4/download/readme.txt
    Description: README file with more information about the dataset.

en:
Resource Title: TSMs_HSMs.csv
    Size: 15217 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/6c897b79-4cc6-46f5-87f0-83275921ede9/download/tsms_hsms.csv
    Description: Tree-level photosynthetic thermal tolerance, leaf water potentials, thermal safety margins, and hydraulic safety margins measured 3-4 times per tree during the growing season.

Variable List:
	- TreeID: Unique identifier for individual trees
 	- Species: Tree species
	- Campaign: Month of the growing season in which data was collected
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Waterpotential: midday leaf waterpotential (MPa)
	- WPtlp: Waterpotential at leaf turgor-loss-point (MPa) *Measured by Mas, E., Cochard, H., Deluigi, J., Didion-Gency, M., Martin-StPaul, N., Morcillo, L., Valladares, F., Vilagrosa, A., & Grossiord, C. (2024). Interactions between beech and oak seedlings can modify the effects of hotter droughts and the onset of hydraulic failure. New Phytologist, 241(3), 1021-1034. https://doi.org/https://doi.org/10.1111/nph.19358
	- HSM: Hydraulic safety margin (difference between WPtlp and Waterpotential, in MPa)
	- Tcrit: Critical thermal threshold of Photosystem II (degrees C)
	- T50: High leaf temperature at which Photosystem II function declines by 50% (degrees C)
	- Tleaf.max: Maximum leaf temperature during the week preceding thermal tolerance measurement
	- TSM.min: Minimum leaf thermal safety margin during the week preceeding thermal tolerance measurement (difference between Tcrit and Tleaf.max, in degrees C)

en:
Resource Title: Environmental_Data.csv
    Size: 19996344 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/8113d780-83c8-43bd-a823-f726ad3f21ab/download/environmental_data.csv
    Description: Chamber-level abiotic data recorded every 10 minutes.

Variable List:
	- Time (MM/DD/YYYY HH:MM)
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Tair: Air temperature (degrees C)
	- Tair_sd: Standard deviation of air temperature
	- RH: Relative humidity
	- RH_sd: Standard deviation of relative humidity
	- VPD: Vapor pressure deficit (kPa)
	- Tsoil: Soil temperature (degrees C)
	- Soil_m: Volumetric soil water content (m^3/m^3)
	- PPFD: Photosynthetic photon flux density (micromoles m^-2 s^-1) *collected from a weather station next to the open-top-chambers (50% intensity inside chambers)
	- windspeed: (m/s) *collected from a weather station next to the open-top-chambers

en:
Resource Title: README.txt
    Size: 8110 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1fe7f58f-356a-4ed4-ae5f-a2b16755e9de/download/readme.txt
    Description: README file with more information about the dataset.

en:
Resource Title: Tleaf.csv
    Size: 28028436 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1860aa5f-68f2-4889-b0c9-bd907e48111f/download/tleaf.csv
    Description: Tree-level leaf temperature data recorded every 10 minutes.

Variable List:
	- Timestamp (MM/DD/YYYY HH:MM)
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
 	- Species: Tree species
	- Tair: Air temperature (degrees C)
	- Tleaf: Leaf temperature (degrees C)
	- Tdiff: Leaf-to-air temperature differential (degrees C)

en:
Resource Title: Gas_exchange.csv
    Size: 4413 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/cc7e702f-6d53-4192-944c-7671eaecf5bc/download/gas_exchange.csv
    Description: Mean values taken for each tree across the growing season. Measurements were taken diurnally (~1 measurement/hr) with a Licor LI6800 matching ambient chamber conditions on 4 days during the growing season (1 day in June, July, August, September).

- Number of variables: 11
- Number of cases/rows: 48
- Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Species: Tree species
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- gsw.mean: Mean stomatal conductance to water vapor (mol m^-2 s^-1)
	- gsw.mean: Mean stomatal conductance rate (mol m^-2 s^-2)
	- Tdiff.mean: Mean difference between leaf and air temperature on the day of Licor measurements
	- lngsw.mean: Mean of the natural log of stomatal conductance
	- lngsw.mean~Tdiff.mean_slope: The slope of the linear least-squares relationship between the natural log of lngsw.mean and Tdiff.mean

en:
Resource Title: Gas_exchange.csv
    Size: 4424 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/df082744-69a0-49b6-81b7-c3f02d24c9f0/download/gas_exchange.csv
    Description: Leaf-level gas exchange collected diurnally for each tree on 4 days of the growing season and summarized to growing-season mean.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Species: Tree species
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- gsw.mean: Mean stomatal conductance to water vapor (mol m^-2 s^-1)
	- E.mean: Mean transpiration rate (mol m^-2 s^-2)
	- Tdiff.mean: Mean difference between leaf and air temperature on the day of Licor measurements
	- lnE.mean: Mean of the natural log of the transpiration rate
	- lnE.mean~Tdiff.mean_slope: The slope of the linear least-squares relationship between the natural log of lnE.mean and Tdiff.mean

fagus-sylvatica

display_name: fagus-sylvatica

functional-traits

display_name: functional-traits

gas-exchange

display_name: gas-exchange

hot-drought

display_name: hot-drought

hydraulic-safety-margins

display_name: hydraulic-safety-margins

leaf-scorching

display_name: leaf-scorching

quercus-pubescens

display_name: quercus-pubescens

thermal-safety-margins

display_name: thermal-safety-margins

thermoregulation

display_name: thermoregulation


en:
The Swiss Landscape Monitoring Program (LABES) records both the physical and the perceived quality of the landscape with about 30 indicators. The surveys of the physical aspects are largely based on evaluations of data available throughout Switzerland from swisstopo and the Federal Statistical Office (FSO). Another significant part of the data comes from a nationwide population survey on landscape perception.
This dataset describes data that have been assembled in the 2020 update of the Swiss Landscape Monitoring Program LABES.

en: landscape european-landscape-convention landscape-perception ecosystem-services landscape-ecology

en: LABES 2 Indicators of the Swiss Landscape Monitoring Program

envi

en: Environment

en:
Resource Title: LABES_17a_Soemmerungsweiden
    Size: 373970 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/58fe447d-badc-4f46-b5ae-4a27e3278ad5/download/labes_17a_soemmerungsweiden.zip
    Description: Summer pastures make up the majority of extensively used agricultural land in Switzerland. Summer pastures are located at altitudes that do not allow intensive use of the land, as is the case in the Central Plateau. Fertiliser use is either non-existent or limited. The indicator helps to measure changes in a basic agricultural use that is very important for the mountain landscape. It is a major determinant of landscape character and biodiversity.

en:
Resource Title: LABES_NEU_7_Leitungen
    Size: 13553015 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/9abf7e9d-3a4c-4fb1-89e9-9b46f886555e/download/labes_neu_7_leitungen.zip
    Description: This indicator shows the status of transmission lines in Switzerland and analyses the land cover on which these infrastructures are built. Transmission lines are assessed on the basis of TLM data. An extract from TLM_VERSORGUNGSBAUTE (OBJEKTART: Hochspannungsleitungen) is used to calculate the length consumption. In addition, the area statistics layer (NOLC04) is used to differentiate land types into different categories. The total length of transmission lines in Switzerland, in the different biogeographical regions and in the different cantons is calculated by overlay operations for year 2015 and year 2020 (see appendices for further details).

en:
Resource Title: LABES_3_Flaechenverbrauch_siedlung
    Size: 289613 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/50af6ee4-e060-449a-928b-eaf7d56584d6/download/labes_3_flaechenverbrauch_siedlung.zip
    Description: This indicator quantitatively describes land consumption for settlement and the change in Switzerland's settlement area based on data from Switzerland's land use statistics (Swiss Federal Statistical Office FSO).

en:
Resource Title: LABES_2_Veraenderung_LW_Flaeche
    Size: 1823447 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/1b183a3b-12fb-4449-9f94-6dbdbb27c09c/download/labes_2_veraenderung_lw_flaeche.zip
    Description: Indicator 2 describes the quantitative change in Switzerland's agricultural area excluding summer pastures. It contributes to assessing the basic agricultural use, which is very important for the landscape. This has a significant impact on the character of the landscape and on biodiversity.

en:
Resource Title: LABES_NEU_9_Windanlagen
    Size: 31839422 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/8ad25619-6fd6-44eb-8356-128591a07d67/download/labes_neu_9_windanlagen.zip
    Description: This indicator shows the situation of wind energy in Switzerland. Firstly, we locate the current wind turbines and wind farms in Switzerland and compare their location with the wind speed map and the federal government's base map concerning the main wind potential areas. Secondly, we analyse the development of wind energy in Switzerland over the years and the efficiency of such structures.

en:
Resource Title: LABES_1_Wald
    Size: 880214 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/ecac03e4-7b78-4cfd-b8dc-0f901784105f/download/labes_1_wald.zip
    Description: Indicator 1 quantitatively describes the forest area of Switzerland and its change. The required data on forest area are calculated using the area statistics (Swiss Federal Statistical Office, SFSO).

en:
Resource Title: LABES_8_Bauen_ausserhalb_Bauzone_neue_Berechnung
    Size: 552983317 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/6f63c401-4569-416a-835e-bbf92db5c446/download/labes_8_bauen_ausserhalb_bauzone_neue_berechnung.zip
    Description: Indicator 8 quantitatively describes the Euclidean distance from each point of a 12.5x12.5m grid outside the building zone to the nearest building. This is a revision based on a new calculation method.

en:
Resource Title: LABES_9_Zerschneidung
    Size: 2873713695 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/49481125-656d-4f80-b637-5e269df54345/download/labes_9_zerschneidung.zip
    Description: Transport infrastructure such as highways, connecting roads and railroads, as well as settlement areas divide a landscape into individual areas separated from each other. To measure the degree of landscape fragmentation, the metric of "effective mesh size" (meff) was used (Jaeger 2000). It expresses the probability that there are no separating elements, such as traffic routes or settlements, between two randomly selected points. The more separating elements cut up the landscape, the lower this probability and the smaller the effective mesh size.

en:
Resource Title: LABES_2a_Nutzungsvielfalt_in_der_LW_Flaeche
    Size: 40224676 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/7d98e337-544b-4a43-bb68-e88b45aa38b6/download/labes_2a_nutzungsvielfalt_in_der_lw_flaeche.zip
    Description: This indicator measures the average number of different uses of agricultural land in Switzerland. It is thus a measure of the diversity of agricultural land. The agricultural structure survey is used to record the diversity of use.

en:
Resource Title: LABES_15_NaturuberlasseneFlache
    Size: 86402157 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/241e4703-b922-493d-92bb-dba59111c5f6/download/labes_15_naturuberlasseneflache.zip
    Description: Areas left to nature are areas in which natural processes can take place essentially undisturbed and direct human influences determine the (current) development only to a small extent. In such areas, the composition of animal and plant communities differs from that in the cultivated landscape. The areas left to nature in Switzerland can be divided into "wilderness areas" in the forest (forest wilderness), areas left to nature in the high mountains (alpine fallow) and areas along water bodies (floodplains). The areas may or may not be accessible. Of central importance is the intensity of human activities.

en:
Resource Title: LABES_7_Versiegelung
    Size: 83715075 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/c285f76d-d16e-49eb-a894-11d22b91ffe6/download/labes_7_versiegelung.zip
    Description: The degree of imperviousness indicates the sealed surface area as a percentage. The LABES indicator 7 is surveyed with the area statistics Switzerland. The survey interval of the areal statistics is 12 years for the first 3 surveys and 9 years for the fourth survey of the areal statistics; therefore, short-term developments in the change of the sealed surface cannot be recorded.

en:
Resource Title: Labes_all_social_indicators_23_24_25_27_29_30_NEU16_NEU17_NEU18_NEU20_NEU22_NEU23
    Size: 7262265 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/63db81c2-01b8-4285-b602-5090673d9330/download/labes_all_social_indicators_23_24_25_27_29_30_neu16_neu17_neu18_neu20_neu22_neu23.zip
    Description: The social indicators for LABES were collected with a Swiss-wide representative survey. The first survey was conducted in 2011 (n = 2814 participants), the second in 2020 (n = 2090 participants). The “Auswertungsprotokolle” inform about the results of each indicator in 2020 and compared to the state of 2011.

Indicator list:

Indicator 23 Ortsbindung / place attachment

Indicator 24 Landschaftliche Schönheit / visual landscape quality or beauty

Indicator 25 Besonderheit (Eigenart und Vergangenheitsbezug)/ place identity

Indicator 27 Wahrgenommener Informationsgehalt der Landschaft: Komplexität, Entdeckungspotenzial, Kohärenz, Lesbarkeit / Kaplans’ preference matrix: complexity, mystery, coherence, legibility

Indicator 29 Faszination / soft fascination

Indicator 30 Authentizität /authenticity

Indicator Neu_16 Erholung und Landschaft (Erholungsindex, Zugang, Outdoorsport) / recreation and landscapes (recreationindex, access, outdoor sports)

Indicator Neu_17 Beobachtete Landschaftscharakterisierung / perceived landscape charachterization

Indicator Neu_18 Beobachtete Landschaftsveränderungen / perceived landscape changes

Indicator Neu_20 Wahrgenommene Landschaftsqualität in den Grundnutzungen oder Texturen (Wald, Landwirtschaft, Siedlungsflächen, Gewässer)/ Perceived landscape quality in the different land use areas (forest, agriculture, settlement areas, water bodies)

Indicator Neu_22 Gesamturteil zur wahrgenommenen Landschaftsqualität / overall satisfaction

Indicator Neu_23 Kulturelle Landschafswerte / cultural values and services of the landscape

en:
Resource Title: LABES_11_Gewaesser
    Size: 87721372 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/3989c431-0da1-4f0f-ae38-0052dd0d5b59/download/labes_11_gewaesser.zip
    Description: Indicator 11a describes the change in the length of watercourses in Switzerland between different points in time. The changes are systematically recorded on the basis of the changes in the national maps 1:25,000, later Vector25 and from about 2012 using TLM3D. With this evaluation protocol (2022), the sampling procedure of "Landschaft unter Druck" is used for the last time. It consists of 152 sampling rectangles in which the changes are recorded and extrapolated to the whole of Switzerland. From TLM3D (2020) onwards, the extrapolation is guaranteed for the entire area of Switzerland.

en:
Resource Title: LABES_NEU_2_Abgeschiedenheit
    Size: 234154689 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/091a8634-f47c-44f0-89f2-122cecf3f12d/download/labes_neu_2_abgeschiedenheit.zip
    Description: Remoteness implies distance from a reference. In the case of an actual journey through a remote landscape, this distance can mean the physical distance from society or from signs of civilisation. In solitude, individuals face the elements of nature and thus move a step away from the backing of security provided by civilised society.
To calculate the remoteness of each grid cell per time period, the "Path Distance" ArcGIS tool is used. This calculates the cost between each grid cell and the settlement areas (pixels with >15 people) as the shortest trajectory. The surface distance is calculated from the horizontal and vertical distance (including the digital elevation model DHM25) and a cost grid, which assigns to each cell the costs incurred when passing through this area. As soon as the trajectory meets (or starts on) a road on which the settlement can be reached, the journey time by public transport or by private means of transport is calculated and the shorter of the two journey times is used.

en:
Resource Title: LABES_14_Licht
    Size: 35479307 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/89793b05-e29e-4db1-acf6-44bea2b37965/download/labes_14_licht.zip
    Description: Light emissions in 500m resolution for entire Switzerland for the periode 2014-2020 using VIIRS-VCSML

en:
Resource Title: LABES_31a_Gewaesserabschnitte_frei_begehbar
    Size: 650033460 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/5936cb4e-fdb5-42fe-abc8-a2e1b49819db/download/labes_31a_gewaesserabschnitte_frei_begehbar.zip
    Description: Indicator 31a describes the accessibility of water bodies in Switzerland. Water bodies are popular recreational areas. In order to be used by the population, therefore they should be freely accessible.

en:
Resource Title: LABES_35_ErschliessungFussWanderwege
    Size: 612264376 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/0b03f50f-90db-43ab-9efb-20ab17c7645a/download/labes_35_erschliessungfusswanderwege.zip
    Description: Indicator 35 describes the accessibility with footpaths and hiking trails less than 2m wide. The basis for this is the Topographic Landscape Model (TLM and TLM3D) of the Federal Office of Topography. The data are given in km/km2 and are broken down by land use. The land use categories settlement, forest and open land are extracted from the area statistics of the Federal Statistical Office. Contrary to the initial calculation in 2015, we have abandoned the official attribute "hiking trail", as it has been shown that official "hiking trails" are also routed over longer distances along major roads. The current definition has to do solely with the width of the path (max. width 2m) and not with the official designation. This is closer to the quality of a trail than the official designation "hiking trail".

en:
Resource Title: LABES_NEU_12_Landwirtschaftliche_Intensitaet
    Size: 3136976655 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/2a4fd5bc-9d68-4ba9-8386-2589ff7c280b/download/labes_neu_12_landwirtschaftliche_intensitaet.zip
    Description: This indicator shows the agricultural intensity in Switzerland using satellite data by calculating the NDVI values for each growing season and, in particular, observing the standard deviation of these values over the years. The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are needed to cover the extent of Switzerland.

en:
Resource Title: LABES_NEU_14_StaedtischesGruen
    Size: 13710568925 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/17cbc14c-0f93-4757-9bc7-1ea8b3a241e2/download/labes_neu_14_staedtischesgruen.zip
    Description: This indicator shows the state of vegetation within urban areas in Switzerland. On the one hand, the entire vegetation period is considered, taking into account all data from mid-May to mid-September. On the other hand, an additional analysis focuses on the spring period from mid-May to the end of June in order to observe only the growing season, which in the vast majority of cases is not yet affected by drought stress.
The remote sensing data used to calculate this indicator come from Sentinel-2 MSI and cover the whole of Switzerland. Sentinel-2 is a wide-area, high-resolution, multispectral imaging mission of ESA for monitoring vegetation, soil and water cover. Sentinel-2 Level-1C data were used, which are radiometrically and geometrically corrected top-of-atmosphere products. The corrections include orthorectification and spatial registration on a global reference system (combined UTM projection and WGS84 ellipsoid) with sub-pixel accuracy. Level 1C images are delivered in tiles of 100×100 km. A total of 11 tiles are required to cover the extent of Switzerland.

en:
Resource Title: LABES_4_VerkehrFlaecheLaenge
    Size: 586793568 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/b803de8f-9e8f-4e88-87fa-7a5630a7b636/download/labes_4_verkehrflaechelaenge.zip
    Description: Indicator 4 describes the length and area of roads and railroads for the year 2020, as well as the changes between different points in time. The calculation of length and area consumption is based on the Topographic Landscape Model TLM and TLM3D of the Federal Office of Topography. Before 2014, changes were recorded in a sampling procedure based on landscape elements and extrapolated to subspaces and the whole of Switzerland. Since 2015, however, it has been possible to use data directly for the whole of Switzerland.

en:
Resource Title: LABES_36_Zersiedlung
    Size: 318716414 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/4d6c7084-30af-47c7-a5db-8c5fa24fc96a/download/labes_36_zersiedlung.zip
    Description: As a metric for characterising urban sprawl, the measure of urban sprawl (Z or weighted urban permeation WUP) was first propagated by Jaeger et al. (2008). We use this measure here. Urban sprawl is expressed in DSE/m2. The metric was refined within the framework of the National Research Programme 54 "Sustainable settlement and infrastructure development" in the project "Landscape sprawl Switzerland - Quantitative analysis 1935 to 2002 and implications for spatial planning" (Jaeger et al. 2008).

en:
Resource Title: LABES_32_Anlagefrei
    Size: 245411882 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/fd301e2a-b4aa-40da-8268-bfb3f0f7fbd3/download/labes_32_anlagefrei.zip
    Description: For many people, "untouched landscape" is the very essence of nature. There are hardly any places left in Switzerland that have no human influence. But you can find regions where human influence is not so obvious. These are areas where no human buildings and installations can be seen. Areas free of facilities are therefore the most natural areas that can be found in Switzerland.

en:
Resource Title: README_LABES
    Size: 37075 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/2b286615-22ad-432c-a63f-b917deac85b1/resource/57905ae4-1e6f-47e7-b2c9-bea903d73591/download/readme_labes2.pdf
    Description: This is the general readme for all LABES datasets.

ecosystem-services

display_name: ecosystem-services

european-landscape-convention

display_name: european-landscape-convention

landscape

display_name: landscape


intratrait

en:
This data set was used to test whether species specialized to high elevations or with narrow elevational ranges show more conservative (i.e. less variable) trait responses across their elevational distribution, or in response to neighbours, than species from lower elevations or with wider elevational ranges. We did so by studying intraspecific trait variation of 66 species along 40 elevational gradients in four countries (Switzerland, Australia, New Zealand, China) in both hemispheres. As an indication of potential neighbour interactions that could drive trait variation, we also analysed plant species’ height ratio, its height relative to its nearest neighbour.
The following traits and parameters were measured and are available in this data set:
As an indication of plant stature, we measured vegetative and generative height, where vegetative height was distance from soil to highest vegetative leaf and generative height was distance to the highest point on the reproductive shoot. As a measure of reproductive investment, we noted the presence of flowers on the randomly chosen individuals (see below). As a measure of individual and genet basal area, we measured individual plant and patch diameters, in two dimensions (along the largest diameter and perpendicular to it). In clonal plant species, plant diameter was equivalent to an individual rosette, whereas patch diameter referred to the whole genet and could represent the size of a tuft, tussock or cushion. For genera with more singular growth forms (e.g., some Gentiana species) plant and patch diameter were the same. The two diameter measurements were made at right angles, allowing estimates of patch and plant areas to be calculated as an ellipse (i.e., area = 0.5 a 0.5 b Π). All traits were measured on ten randomly selected individuals per site. Flower count data was considered in a binary fashion on a per individual basis (because for some species individuals only produce one flower when flowering) so that the presence or absence of flower(s) was a nominal value between 0 and 10 for each species at each site. We then collected at least three leaves (up to 30 for small and light leaves) from each of the first three individuals selected from each species for determination of leaf dry matter content (LDMC) and specific leaf area (SLA). For calculations of LDMC and SLA, fresh leaves were scanned on a flatbed scanner to determine leaf area. Leaves were then weighed on a balance to a precision of +/- 0.001g, prior to being air dried and reweighed with a balance to a precision of +/- 0.0001g. LDMC was calculated by dividing dry leaf mass by fresh leaf mass. SLA was calculated by dividing leaf area by dry leaf mass. Additionally, within an area of 10 cm diameter around the target individual, we determined the tallest neighbouring species and measured its vegetative and generative height, and estimated the percent cover of the target species, other vegetation, rock, and bare soil.
For more details see Rixen et al. 2022, Journal of Ecology.

en: cold-adapted-plants climate-change elevation-gradient neighbour-interactions plant-traits elevation-range

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: EnviDat: the Environmental Data Portal

en: intratrait

title_for_slug: intratrait

envi

en: Environment

en:
Resource Title: Rixen_etal_2022_JEcol_AllTraitData
    Size: 3679833 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/58a5f3e7-89e3-41c9-a880-5971ecaceab5/resource/d6845438-a41c-49a6-be0a-254e258a9acd/download/rixen_etal_2022_jecol_alltraitdata.csv
    Description: Plant trait data along elevation gradients on mountains

en:
Resource Title: R code Rixen_etal_2022_JEcol_AllTraitData
    Size: 74099 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/58a5f3e7-89e3-41c9-a880-5971ecaceab5/resource/bcff4cc4-e77a-4018-8a88-7b0f38d295e6/download/final_code_lme4_supplement.r
    Description:

climate-change

display_name: climate-change

cold-adapted-plants

display_name: cold-adapted-plants

elevation-gradient

display_name: elevation-gradient

elevation-range

display_name: elevation-range

neighbour-interactions

display_name: neighbour-interactions

plant-traits

display_name: plant-traits


en:
This dataset supports the analysis presented in "From point clouds to forest management: Quantifying the sensitivity of a decision support framework to initialization data using close-range remote sensing" (https://doi.org/10.1016/j.ecoinf.2026.103896). The repository covers two parts of the analysis: (1) data preparation from LiDAR-based forest inventories, and (2) sensitivity analysis of decision support system (DSS) outputs. The intermediate forest simulation (ForClim v4.1) and multi-criteria decision analysis (MCDA) were carried out using an external pipeline described in Blattert et al. (2024), using the R package rforclim (v1.01.001) by Hiltner & Marano (2025). The corresponding model outputs are included here as inputs to the sensitivity analysis, making all analyses in this repository fully reproducible without requiring access to the simulation pipeline. The ForClim model (v4.1) (Marano et al., 2025) is openly available from the ETH Zurich Institute of Terrestrial Ecosystems (https://ites-fe.ethz.ch/openaccess/products/forclim). Climate data were sourced from the publicly available Swiss CH2018 dataset (CH2018 Project Team, 2018). Soil data were sourced from Baltensweiler et al. (2024). For a detailed description of the repository structure, scripts, and data files, see the README file included in this dataset.
 References
Blattert C, Mutterer S, Thrippleton T, Diaci J, Fidej G, Bont LG, Schweier J (2024). Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality. Ecological Indicators, 165, 112154. https://doi.org/10.1016/j.ecolind.2024.112154
Baltensweiler A, Walthert L, Hanewinkel M, Zimmermann S, Nussbaum M (2024). Soil property maps for the Swiss forest. EnviDat. https://doi.org/10.16904/envidat.484
CH2018 Project Team (2018). CH2018 - Climate Scenarios for Switzerland. National Centre for Climate Services, Zurich. https://www.nccs.admin.ch/nccs/en/home/climate-change-and-impacts/swiss-climate-change-scenarios/ch2018---climate-scenarios-for-switzerland.html
Marano, G., Hiltner, U., Meusburger, K., Hands, T., & Bugmann, H. (2025). Predicting drought-induced tree mortality in Swiss beech forests hinges upon predisposing and inciting factors (p. 2025.12.15.694299). bioRxiv. https://doi.org/10.64898/2025.12.15.694299
Hiltner U, Marano G (2025). rforclim: Collection of useful functions to parameterize and run the forest model ForClim. R package version 1.01.001. Available on request from the ETH Zurich Institute of Terrestrial Ecosystems.

en: lidar forest-model forest-inventory ecosystem-services sensitivity-analysis decision-support uncertainty

en:
Resource Title: README.md
    Size: 4149 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/6b3838ed-8433-492d-8424-2a19ae134b0a/resource/eaa7ed36-52f8-47fc-827c-a54a71292a4a/download/readme.md
    Description:

format: markdown

en:
Resource Title: README.html
    Size: 23631 bytes
    Format: text/html
    URL: https://www.envidat.ch/dataset/6b3838ed-8433-492d-8424-2a19ae134b0a/resource/b331ae91-9d28-4262-9edd-9efeb9f2fc12/download/readme.html
    Description:

format: HTML

media_type: text/html

en:
Resource Title: dss_sensitivity_analysis_envidat.zip
    Size: 20615843021 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fenvicloud%2F&prefix=doi%2Fenvidat.784%2F
    Description:

decision-support

display_name: decision-support

forest-inventory

display_name: forest-inventory

forest-model

display_name: forest-model

lidar

display_name: lidar

sensitivity-analysis

display_name: sensitivity-analysis

uncertainty

display_name: uncertainty


en:
Avalanche problem types were derived from snow cover simulations with the models Crocus and SNOWPACK at the Weissfluhjoch study plot, Davos, CH. The data include annual frequencies of avalanche problem types for the seasons 1999-2017 and daily presence of avalanche problem types for the period 01.01.2016 - 30.04.2016.
Avalanche activity was derived from two seismic sensor arrays deployed no further than 15 km from Weissfluhjoch, Davos, CH. The data cover the period 01.01.2016 - 30.04.2016.

en: snowpack weissfluhjoch avalanche-danger avalanche-problem-type avalanche-activity avalanche crocus snow-cover-modeling snow-instability snow

en: Simulated avalanche problem types and seismic avalanche activity around Weissfluhjoch

en:
Resource Title: 2015-2016 Seismic avalanche acitivity catalogue
    Size: 322 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/aee18298-2eea-4876-ba1c-15cd7e69a031/download/2015_16_ava_seismic.csv
    Description: Avalanches were indentified in seismic data recorded by two seismic arrays, one deployed at Wannengrat (2,500 m) and another one deployed in the Dischma valley (2,000 m).
The data cover the period from 01.01.2016 - 30.04.2016 and are presented in Figure 7 in Reuter et al. (2021).

en:
Resource Title: 1999-2017 Avalanche problem types from SNOWPACK
    Size: 493 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/fd62a04d-b072-46d9-b860-0415656b3e38/download/wfj_1999-2017_snowpack_avalanche_problem_types.csv
    Description: Avalanche problem types were derived from snow cover simulations with the model SNOWPACK at the Weissfluhjoch study plot, Davos, CH.
The data cover the winter seasons between 1999-2017 and include the simulated annual frequencies of new snow, wind slab, persistent weak layer, aging-persistent weak layer and wet snow problem types.
The data are shown in Figure 8 in Reuter et al. (2021).

en:
Resource Title: 2015-2016 Avalanche problem types from SNOWPACK
    Size: 2749 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/b76405da-ff97-4720-8a1e-323d6c4b6da9/download/2015-2016_snowpack_ava_prob_types.csv
    Description: Avalanche problem types were derived from a snow cover simulation with the model SNOWAPCK for the winter season 2015-2016 at the Weissfluhjoch study plot, Davos, CH.
The data cover the period 01.01.2016-30.04.2016. The binary indicator (0,1) tells whether an avalanche problem type was identified in the snow cover simulation (1) or not (0).
The data are presented in Figure 7 in Reuter et al. (2021).

en:
Resource Title: 1999-2017 Avalanche problem types from Crocus
    Size: 507 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/3b8f8b29-2be6-473e-8e33-0b598670531d/download/wfj_1999-2017_crocus_avalanche_problem_types.csv
    Description: Avalanche problem types were derived from snow cover simulations with the model Crocus at the Weissfluhjoch study plot, Davos, CH.
The data cover the winter seasons between 1999-2017 and include the simulated annual frequencies of new snow, wind slab, persistent weak layer, aging-persistent weak layer and wet snow problem types.
The data are presented in Figure 8 in Reuter et al. (2021).

en:
Resource Title: 2015-2016 Avalanche problem types from Crocus
    Size: 2749 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/67f54960-fb04-4315-980b-029ea5b8b6c6/resource/07bdeaa3-c5c4-4c04-bca2-66a8d84310ab/download/2015-2016_crocus_ava_prob_types.csv
    Description: Avalanche problem types were derived from a snow cover simulation with the model Crocus for the winter season 2015-2016 at the Weissfluhjoch study plot, Davos, CH.
The data cover the period 01.01.2016-30.04.2016. The binary indicator (0,1) tells whether an avalanche problem type was identified in the snow cover simulation (1) or not (0).
The data are presented in Figure 7 in Reuter et al. (2021).

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

avalanche-danger

display_name: avalanche-danger

avalanche-problem-type

display_name: avalanche-problem-type

crocus

display_name: crocus

snow

display_name: snow

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

weissfluhjoch

display_name: weissfluhjoch


en:
The data presented here corresponds to the publication "A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation" (Gerber et al., 2017), which investigates an eddy-like structure in the vicinity of the Sattelhorn in the Dischma valley (Davos Switzerland)  and its influence on snow accumulation. The dataset contains:
* Alpine3D: Alpine3D snow depth grids (25 m resolution) for two simulations with and without snow redistribution.
* ARPS: 10 ARPS simulations (25 m horizontal resolution) with different model setups (wind direction, wind speed, stability).
* LiDAR: Processed LiDAR PPI (D2_PPI_1h) and RHI (D2_cross_1h) across the valley with a hourly resolution for the period 27 October 2015 01:00 - 29 October 2015c 21:00 (spatial resolution: 25 m).
* meteostations-dischma: Meteorological station data of two meteorological stations in the Dischma valley with 10 minute resolution for the period 28 October 2015 - 30 October 2015.
* TLS: Snow depth change data (m) between 28 October 2015 and 30 October 2015 based on terrestrial laser scans.
For more details about the simulation and observation data, see Gerber et al., 2017.
Publication: Gerber et al., 2017: A Close-Ridge Small-Scale Atmospheric Flow Field and its Influence on Snow Accumulation, submitted to JGR - Atmospheres.

en: lee-side-flow-field alpine3d preferential-deposition lidar tls

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: EnviDat: the Environmental Data Portal

en: DISCHMEX - Observations and simulations of the close-ridge small-scale atmospheric flow field and snow accumulation at Sattelhorn, Dischma valley, Davos, Switzerland.

lee-side-flow-field

display_name: lee-side-flow-field

preferential-deposition

display_name: preferential-deposition

tls

display_name: tls