maintainer: Leonie Schönbeck

en: fluorescence drought acclimation photosynthesis vpd pinus-sylvestris gas-exchange

en: Variable names and units

en: Variable names, description and units for the Pfynwald Gas exchange data

en: Pfynwald gas exchange

en:
Full dataset of Pfynwald gas exchange data taken in the period from June 2013 to October 2020.
All metdata can be found in attached documents.
Data uploaded after quality control using guidelines by Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods fluorescence

en:
Parameters and methodology for Fluorescence measurements

Metadata format from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Instrument details

en:
Instrument details for all LiCor instruments used during collection of dataset.

Metatdata created following guidelines from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods ACi curves

en:
Parameters and methods for CO2 response curves of Photosynthesis.

Metatdata format by
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods light response

en: Methods and parameters for light response curves

en: Methods diurnal measurements

en:
Parameters and methodology for diurnal measurements

Metadata format from
Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

en: Methods survey

en: Parameters and methods for point measurements / survey measurements

en:
Gas exchange was measured on control, irrigated and irrigation-stop trees at the irrigation experiment Pfynwald, during the years 2013, 2014, 2016-2020. The measurement campaigns served different purposes, resulting in a large dataset containing survey data, CO2 response curves of photosynthesis, light response curves of photosynthesis, and fluorescence measurements. Measurements were done with LiCor 6400 and LiCor 6800 instruments. Until 2016, measurements were done on excised branches or branches lower in the canopy. From 2016 onwards, measurements were done in the top of the canopy using fixed installed scaffolds.
All metadata can be found in the attached documents.

acclimation

display_name: acclimation

drought

display_name: drought

fluorescence

display_name: fluorescence

gas-exchange

display_name: gas-exchange

photosynthesis

display_name: photosynthesis

pinus-sylvestris

display_name: pinus-sylvestris

vpd

display_name: vpd

en: 2013-2020 gas exchange at Pfynwald


photogrammetric-drone-data-schurlialp

maintainer: Yves Bühler

title_for_slug: photogrammetric-drone-data-schurlialp

en: wingtra drone-data orthophoto uav photogrammetry dsm

state: active

type: dataset

en: Data Access

en:
- 10 cm DSM
- 10 cm HS
- 3 cm orthophoto
- original RGB images
- Agisoft Metashape Processing Report

All of the products are also available as a cloud optimized geotiff.

format: SERVICE

en: The data was collected on 16.04.2021 and on 28.05.2021 with a Wingtra Gen II and a Sony RX1 II RGB sensor to obtain snow depth and distribution data. Following the data collection, the data was processed with Agisoft Metashape. A 10cm DSM, a 10cm snow depth raster, a 3mm orthophoto and the original drone images are available for download.

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

uav

display_name: uav

wingtra

display_name: wingtra

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

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

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

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

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

political_level: other

wsl

capacity: public

type: organization

approval_status: approved

key: guid

key: uri

value: Envidat Harvester

en: Photogrammetric Drone Data Schürlialp


sensitivity-of-modeled-snow-instability

maintainer: Bettina Richter

title_for_slug: sensitivity-of-modeled-snow-instability

en: global-sensitivity-analysis snowpack snow-instability snow-cover-modeling numerical-avalanche-forecasting

en: Case WL

media_type: application/zip

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the period of weak layer formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

format: ZIP

mimetype: application/zip

en: Reference run

en: Reference run for the sensitivity analysis at Weissfluhjoch field site for winter season 2016-2017. Meteorological data from the automatic weather stations are used. No biases were introduced to the input data.

en: Case SL

en: Extracted output data for case SL. Here biases were introduced to meteorological input data during the period of slab formation. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Case ALL

en: Extracted output data for case ALL. Here biases were introduced to meteorological input data during the whole simulation period. Data include quasi random biases, which were introduced, extracted output of simulated snow profiles and sobol indices for each output variable.

en: Manually observed snow profiles

en: Manually observed snow profiles at Weissfluhjoch field site for winter season 2016-2017, including layer depth, hand hardness, grain size and grain shape for each layer.

en: We investigated the sensitivity of modeled snow instability to meteorological input data using SNOWPACK. We therefore used input data from the automatic weather station at the Weissfluhjoch field site for the year 2016-2017. We investigated three scenarios and performed 14'000 simulations for each scenario. The dataset contains extracted output data from modeled SNOWPACK simulations, including setup files to reproduce the simulations. For further information read the README file.

global-sensitivity-analysis

display_name: global-sensitivity-analysis

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

snow-cover-modeling

display_name: snow-cover-modeling

snow-instability

display_name: snow-instability

snowpack

display_name: snowpack

en: Sensitivity of modeled snow instability


maintainer: EnviDat Support

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

en: Data plot of the forest station (LEB)

media_type: application/pdf

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

format: PDF

mimetype: application/pdf

en: Forest station data (LEB)

media_type: text/csv

en: Data file.

format: CSV

mimetype: text/csv

en: Site photo of the forest station (LEB)

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

mimetype: image/jpeg

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Lens in Switzerland which is located within a natural coniferous forest with Scots pine (_Pinus sylvestris_; 150-170 yrs)) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Lens is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

educ

en: Education, culture and sport

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


en: gridded-data antarctica terrestrial-laser-scans depth-of-snowfall terrestiral-laserscanning

en: Scan from 21 December 2018, 1 mm resolution

en: Scan from 4 January 2019, 1 mm resolution

en: Scan from 4 January 2019, 10 cm resolution

en: Scan from 21 December 2018, 10 cm resolution

en: Scan from 11 January 2019, 10 cm resolution, version 2

en: Deprecated: Scan from 11 January 2019, 10 cm resolution, version 1

en: This resource is deprecated. It contains erroneous data.

en: Scan from 2 January 2019, 10 cm resolution

en: Scan from 27 December 2018, 10 cm resolution

en: Scan from 11 January 2019, 1 mm resolution

en: Scan from 27 December 2018, 1 mm resolution

en: Scan from 2 January 2019, 1 mm resolution

en:
Surface topography maps (spatial extent: 400 m x 400 m) obtained at approximately 300 m from the top of the Hammarryggen Ice Rise in Dronning Maud Land, East Antarctica, using a Riegl VZ-6000 Terrestrial Laser Scanner (TLS). Scans were obtained on 5 days in the 2018-2019 Austral summer: on December 21 and 27, and January 2, 4 and 11. By using reflectors installed on bamboo poles, scans were registered with respect to the reflectors, such that the difference between two successive scans reveals the spatial patterns of erosion and deposition of snow. On each scan day, we used multiple scan positions to create one combined point cloud. After applying an octree filter on the point cloud, a 3D surface was obtained. For each day, the dataset contains a 1 mm and a 10 cm octree filter resolution file, only including points in a 400 m x 400 m area centered around the scan positions.

Notes:

* All files in the dataset are in the same coordinate system. However, this coordinate system is arbitrary (i.e., not related to any global coordinate system).

* From the installed reflectors, 4 reflectors could be used over the full period. The scan accuracy is generally higher within the area enclosed by the reflectors.

* The scans from January 2 were found to have exhibited small tilt during the scan and are of lesser accuracy.

* By walking along fixed corridors, disturbance of the snow was limited.

antarctica

display_name: antarctica

depth-of-snowfall

display_name: depth-of-snowfall

gridded-data

display_name: gridded-data

terrestiral-laserscanning

display_name: terrestiral-laserscanning

terrestrial-laser-scans

display_name: terrestrial-laser-scans

envidat

en: EnviDat: the Environmental Data Portal

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

en: Terrestrial laser scans on Hammarryggen Ice Rise, Dronning Maud Land, East Antarctica


photogrammetric-drone-data-dorfberg

title_for_slug: photogrammetric-drone-data-dorfberg

en: uav snow dsm drone-data snow-distribution snow-depth-mapping orthophoto photogrammetry

en: Data Access

en:
- 3cm-resolution Orthophoto
- 10cm-resolution DSM
- 10cm-resolution snow depth raster
- original RGB images
- Agisoft Metashape Report

All products are also available as a cloud optimized geotiff.

en: The data was collected with a Wingtra Gen II drone and a Sony RX1R II sensor. In total, 10 flights were conducted at different dates, both in summer and winter. A DSM, an orthophoto, a snow depth raster and the original drone images from every flight are available at a high resolution (10cm and 3cm, respectively).

drone-data

display_name: drone-data

dsm

display_name: dsm

orthophoto

display_name: orthophoto

photogrammetry

display_name: photogrammetry

snow

display_name: snow

snow-depth-mapping

display_name: snow-depth-mapping

snow-distribution

display_name: snow-distribution

uav

display_name: uav

educ

en: Education, culture and sport

en: Photogrammetric Drone Data Dorfberg


lidar-davos-wolfgang

maintainer: Patric Seifert

title_for_slug: lidar-davos-wolfgang

en: lidar clouds tropos polly raclets

en: Raman Lidar Davos

en: A portable Raman lidar system (Polly) from Leibnitz Institute for Tropospheric Research (Tropos) was deployed at Davos Wolfgang (LON: 9.853594, LAT: 46.835577). Please use this [link](http://polly.tropos.de/?p=lidarzeit&Ort=39), to be directly forwarded to the Davos location and select the date of interest from the calendar (bold numbers). The data can be requested directly at the Polly team.

clouds

display_name: clouds

lidar

display_name: lidar

polly

display_name: polly

raclets

display_name: raclets

tropos

display_name: tropos

en: LIDAR Davos Wolfgang


maintainer: Joan Casanelles Abella

en: urban-ecology tartu trap-nest osmia-bicornis paris cavity-nesting-bees dna-metabarcoding zurich poznan antwerp osmia-cornuta hylaeus-communis plant-pollinator-interactions chelostoma-florisomne

en: Explanation data variables

en: Larval food composition

en: Urbanization poses threats and opportunities for the biodiversity of wild bees. A main gap relates to the food preferences of wild bees in urban ecosystems, which usually harbour large numbers of plant species, particularly at the larval stage. This data sets describes the larval food of four wild bee species (i.e. Chelostoma florisomne, Hylaeus communis, Osmica bicornis and Osmia cornuta) and three genera (i.e. Chelostoma sp., Hylaeus sp, and Osmia sp.) common in urban areas in five different European cities (i.e. Antwerp, Paris, Poznan, Tartu and Zurich). This data results from a European-level study aimed at understanding the effects of urbanization on biodiversity across different cities and citiscapes, and a Swiss project aimed at understanding the effects of urban ecosystems in wild bee feeding behaviour. Wild bees were sampled using standardized trap-nests in 80 sites (32 in Zurich and 12 in each of the remaining cities), selected following a double gradient of available habitat at local and landscape scales. Larval pollen was obtained from the bee nests and identified using DNA metabarconding. The data provides the plant composition at the species or genus level of the different bee nests of the studied species in the studied sites of the five European cities. For Hylaeus communis, this is the first study in reporting larval food composition.

antwerp

display_name: antwerp

cavity-nesting-bees

display_name: cavity-nesting-bees

chelostoma-florisomne

display_name: chelostoma-florisomne

dna-metabarcoding

display_name: dna-metabarcoding

hylaeus-communis

display_name: hylaeus-communis

osmia-bicornis

display_name: osmia-bicornis

osmia-cornuta

display_name: osmia-cornuta

paris

display_name: paris

plant-pollinator-interactions

display_name: plant-pollinator-interactions

poznan

display_name: poznan

tartu

display_name: tartu

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

zurich

display_name: zurich

en: Larval food composition of four wild bee species in five European cities


en: urban-ecology place-attachment landscape electrodermal-activity sense-of-place

en: 00. EDA Raw Data

en: 03. Publication Ready Data

en: 04. Scripts

en: 05. Visuals

en: 01. EDA Processed Data

en: 02. Questionnaire Data

en: This repository contains data on EDA measurements of visitors with different cultural backgrounds in virtual urban park settings. The parks are a Persian garden (Shiraz, Iran) and a historical park in Zurich, Switzerland. The cultural background of the visitors is Persian and Central European. The repository contains raw data from EDA, processed time series and statistical procedures.

electrodermal-activity

display_name: electrodermal-activity

landscape

display_name: landscape

place-attachment

display_name: place-attachment

sense-of-place

display_name: sense-of-place

envidat

en: EnviDat: the Environmental Data Portal

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

en: Electrodermal Activity (EDA) of Bi-cultural Visitors In Virtual Park Settings


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

en: WFJ Snow Profiles 1999-2014

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

en: README

media_type: text/plain

en: README file giving use metadata.

format: TXT

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

snow-density

display_name: snow-density

snow-ice-temperature

display_name: snow-ice-temperature

snow-stratigraphy

display_name: snow-stratigraphy

snow-water-equivalent

display_name: snow-water-equivalent

weisfluhjoch

display_name: weisfluhjoch

educ

en: Education, culture and sport

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


snow-drift-station-micro-rain-radar

title_for_slug: snow-drift-station-micro-rain-radar

en: radar precipitation snow mountain raclets rain

en: MRR data of period 3

en: The dataset contains measurements between March 8 and March 13, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: MRR data of period 4

en: The dataset contains measurements between March 13 and March 22, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: MMR Data Period 1

en: The dataset contains measurements between March 1 and March 5, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: MRR data Period 2

en: The dataset contains measurements between March 5 and March 8, 2019, with time in UTC. The parameters and specifications are given in MRR_parameters.pdf. The zip folder contains hourly data files in netCDF format and a log file, reporting the instrument status.

en: Parameter MRR

en: The PDF contains additional information on parameters which were set for the certain time periods (time in UTC).

en: The instrument (MRR, Metek) was mounted at Gotschnagrat (LON: 46.859 LAT: 9.849) at a height of 1 m above snow surface (at the beginning of the campaign) with an orientation of 22° with respect to North and a horizontal viewing direction. The sampling time was either 5 s or 10 s, depending on the settings at the specific period. The MRR produces standard outputs like radar reflectivity, doppler velocity, etc., and additional information can be found [here](https://metek.de/de/product/mrr-2/).

mountain

display_name: mountain

precipitation

display_name: precipitation

raclets

display_name: raclets

radar

display_name: radar

rain

display_name: rain

snow

display_name: snow

en: Snow Drift Station - Micro Rain Radar


maintainer: Esther Frei

en: stillberg long-term-experiment mountain-forest treeline afforestation

mimetype: application/x-zip-compressed

en:
 Background information

The Stillberg ecological treeline research site in the Swiss Alps was established in 1975, with the aim to develop ecologically, technically, and economically sustainable reforestation techniques at the treeline to reduce the risk of snow avalanches. In the course of time, additional research aspects gained importance, such as the ecology of the treeline ecotone under global change. Long-term monitoring of the large-scale high-elevation afforestation has generated data about tree growth, survival, and vitality. In addition, detailed characteristics of the microsite conditions of the research were conducted. Besides providing a scientific basis and practical guidelines for high-elevation afforestation, this research has contributed to a comprehensive understanding of ecological processes in the treeline ecotone.

 Experiment description

The Stillberg afforestation experiment was established in 1975 by planting 92,000 seedlings of *Larix decidua*, *Pinus cembra* and *Pinus mugo* ssp. *uncinata* in the alpine treeline ecotone. The afforestation site is located on a northeast-facing slope with steep, topographically highly structured terrain and covers elevations from 2075 to 2230 m a.s.l. The afforestation site was divided into 4052 square plots of 3.5 × 3.5 m, arranged in a regular species-alternating pattern over the whole area. Each plot contained 25 trees of one species (1350 plots per species), and the seedlings were systematically planted 70 cm apart. The trees have been monitored since 1975. Specifically, tree mortality was assessed annually from 1975 until 1995 and has been documented every ten years since then, with surveys in 2005 and 2015 (the next survey is due in 2025). Height of the surviving trees was measured in 1975, 1979, 1982, 1985, 1990, 1995, 2005, and 2015. In 1995, 2005, and 2015, drivers of tree vitality were assessed for a subset of trees per plot. Additionally, an extensive set of environmental parameters characterizing microsite conditions of the afforestation area were recorded before and after the planting of the trees.

 Data description

The five datasets from the afforestation experiment comprise ecological and environmental data from the main afforestation experiment in five datasets with accompanying metadata (Stillberg_afforestation_all_metadata.xlsx). All data and metadata files are bundled in a ZIP-file (Stillberg_afforestation_v1.zip). In particular, a first dataset contains environmental data characterising microsite conditions of the 4000 plots with regard to soil, topography, vegetation and microclimatic conditions (Stillberg_afforestation_plot_data_v1.csv; Stillberg_afforestation_plot_metadata_v1.csv. In each plot, the natural tree regeneration was assessed by counting seedings of several tree species in 2005 and 2015 (Stillberg_afforestation_regeneration_data_v1.csv; Stillberg_afforestation_regeneration_metadata_v1.csv). Furthermore, specific information about each of the 92’000 planted trees of the tree species is available (Stillberg_afforestation_tree_parameter_data_v1.csv; Stillberg_afforestation_tree_parameter_metadata_v1.csv). Survival data for each of the 92’000 individual trees can be found in a separate dataset (Stillberg_afforestation_tree_survival_data_v1.csv; Stillberg_afforestation_tree_survival_metadata_v1.csv). Tree growth and vitality parameters are available for all trees from 1995, and for subsets of trees for 2005 and 2015 (Stillberg_afforestation_tree_measurements_data_v1.csv; Stillberg_afforestation_tree_measurements_metadata_v1.csv).

afforestation

display_name: afforestation

long-term-experiment

display_name: long-term-experiment

mountain-forest

display_name: mountain-forest

stillberg

display_name: stillberg

treeline

display_name: treeline

envidat

en: EnviDat: the Environmental Data Portal

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

en: Long-term afforestation experiment at the Alpine treeline site Stillberg, Switzerland


maintainer: Matthias Haeni

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

en: Data plot of the forest station (VSB)

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

en: Site photo of the forest station (VSB)

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

en: Field station data (VSF)

en: Data file.

en: Data plot of the field station (VSF)

en: Forest station data (VSB)

en: Site photo of the field station (VSF)

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

en: Site aerial photo (Visp)

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

en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Visp in Switzerland where one station is located within a natural mixed forest stand (VSB) with Scots pine (_Pinus sylvestris_; 40-80 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, VSF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Visp is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

educ

en: Education, culture and sport

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


en: antarctica eddy-covariance-measurements large-eddy-simulations drifting-snow meteorological-data mass-flux micro-rain-radar turbulence blowing-snow

en: Readme

en: Meta data

en: Measurement data from micro-meteorological station

en: Automatic in-situ measurements of micro-meteorology and snow transport

en: Measurement data from Micro Rain Radar (MRR)

en: Remote sensing data of blowing snow from a Micro Rain Radar (MRR).

en: Simulation data for a situation with negligible snow transport

en: Results from two LES-LSM simulations called NoDrift_1 and NoDrift_2, which reproduce the conditions observed at the S17 site on 12th January 2019, 05:40 to 05:50 UTC.

en: Source code of the large-eddy simulations coupled with a Lagrangian stochastic model (LES-LSM), available on GitLab.

en: Measurement data from snow particle counter at MRR site

en: Near-surface observations of drifting snow from a Snow Particle Counter (SPC) installed at the location of the Micro Rain Radar.

en: Simulation data for a situation with significant snow transport

en: Data from two LES-LSM simulations called Drift_1 and Drift_2, which reproduce the conditions observed at the S17 site on 11th January 2019, 00:40 to 00:50 UTC.

en:
This dataset contains measurement and simulation data. The measurements characterize the standard meteorology, turbulence, and snow transport at the S17 site near Syowa Station in East Antarctica during an expedition in austral summer 2018/2019. Large-eddy simulations with sublimating particles provide additional insight into the latent and sensible heat exchange between snow and air in two example situations observed at the S17 site.

A part of the measurement data was recorded by an automatic measurement station from 10th January 2019 to 26th January 2019. This measurement station was equipped with standard meteorological sensors, a three-dimensional ultrasonic anemometer, an open-path infrared gas analyzer, a snow particle counter, an infrared radiometer for measurements of the surface temperature, and a sonic ranging sensor measuring changes in snow surface elevation.

At a horizontal distance of approximately 500 m, a Micro Rain Radar (MRR) was installed in a tilted configuration with an elevation angle of 7° for remote sensing of blowing snow between 25th December 2018 and 24th January 2019. In addition, near-surface in-situ measurements of snow transport were performed at the location of the MRR by deploying a snow particle counter from 27th December 2018 to 24th January 2019.

The simulations cover a 18 x 18 x 6 m³ domain and reproduce the steady-state conditions during a 10-min interval with significant snow transport and another 10-min interval with negligible snow transport. We provide the model source code and the post-processed simulation data, i.e., horizontally averaged quantities as a function of height and time.

antarctica

display_name: antarctica

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

eddy-covariance-measurements

display_name: eddy-covariance-measurements

large-eddy-simulations

display_name: large-eddy-simulations

mass-flux

display_name: mass-flux

meteorological-data

display_name: meteorological-data

micro-rain-radar

display_name: micro-rain-radar

turbulence

display_name: turbulence

envidat

en: EnviDat: the Environmental Data Portal

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

en: Meteorology and snow transport at S17 near Syowa, Antarctica, in austral summer 2018/2019


swiss-fluxnet-site-lageren

title_for_slug: swiss-fluxnet-site-lageren

en: swiss-fluxnet forest greenhouse-gas meteorological-measurements swiss-forest-lab flux eddy-covariance

en: Fluxnet2015 dataset

en: The flux and meteo data of the Swiss FluxNet site Lägeren are also part of the Fluxnet2015 dataset.

en: Site description

en: Data access

en: The flux and meteo data of the Swiss FluxNet site Lägeren are openly available from the European Fluxes Database Cluster.

en:
The Swiss FluxNet Site Lägeren is a managed mixed deciduous mountain forest located on the steep Lägeren mountain (NW of Zurich, Swiss Plateau). The forest is highly diverse, dominated by beech, but also including ash, maple, spruce and fir trees. Eddy covariance flux measurements were started in April 2004. The site was part of the international CarboEurope IP network and the National Air Pollution Monitoring Network (NABEL). In addition to Swiss FluxNet, the site is part of the Long-term Forest Ecosystem Research (LWF) of WSL and the biological drought and growth indicator network (TreeNet) of WSL.

Measurements

- Ecosystem flux measurements of CO2, H2O vapour are performed with the eddy-covariance method. This method is based on measurements of trace gas mixing ratios, using infrared gas analyzers (for CO2, H2O vapor), combined with wind speed and wind direction measurements, using 3D sonic anemometers. To resolve the short-term turbulent fluctuations in the atmosphere, very fast measurements are needed: we measure at 10-20 Hz, i.e., 10-20 times per second. To assess the energy budget of each ecosystem, also radiation sensors and soil climate profiles are installed at the site.
- Sub-canopy eddy fluxes (CO2, H2O), soil respiration campaigns
- Continuous CO2 profile measurements.
- Auxiliary micrometeorology and soil climate measurements.

Data availability

All data are available from the European Fluxes Database Cluster, but are also part of Fluxnet2015 dataset.

Data policy

ICOS data license:
[https://www.icos-cp.eu/data-services/about-data-portal/data-license](https://www.icos-cp.eu/data-services/about-data-portal/data-license)

Detailed site info:
[https://www.swissfluxnet.ethz.ch/index.php/sites/ch-lae-laegeren/site-info-ch-lae//](https://www.swissfluxnet.ethz.ch/index.php/sites/ch-lae-laegeren/site-info-ch-lae/)

eddy-covariance

display_name: eddy-covariance

flux

display_name: flux

forest

display_name: forest

greenhouse-gas

display_name: greenhouse-gas

meteorological-measurements

display_name: meteorological-measurements

swiss-fluxnet

display_name: swiss-fluxnet

educ

en: Education, culture and sport

en: Swiss FluxNet Site Lägeren


en: antarctica drifting-snow snowmicropen meteorological-data mass-flux terrestrial-laser-scanning

en: Dataset

en: Links to the dataset

en: README

en: Describes the dataset in detail

mimetype: text/plain

en:
This dataset contains the data acquired during the expedition to Princess Elisabeth Antarctica Station in December 2016 and January 2017. The dataset consits of meterorological data, drifting snow mass flux data, SnowMicroPen data and Terrestrial Laser Scanning data.

Please refer to the README for more information about the data.

This dataset is the basis of the following publication:

Sommer, C. G., Wever, N., Fierz, C., and Lehning, M.: Wind-packing of snow in Antarctica, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-36, in review, 2018.

snowmicropen

display_name: snowmicropen

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

en: Expedition to Princess Elisabeth Antarctica Station, 2016/2017


en: avalanche avalanche-forecasting danger-level avalanche-danger snow-instability snow

en: Read-me file

en: This read-me file contains the descriptions of the variables.

en: Field observations of snow instabilities

en:
This data set includes 589 snow profile observations including a rutschblock test, observations of signs of instability and an assessment of the local avalanche danger level, mainly recorded in the region of Davos (eastern Swiss Alps) during the winter seasons 2001-2002 to 2018-2019.

These data were analyzed and results published by Schweizer et al. (2021). They characterized the avalanche danger levels based on signs of instability (whumpfs, shooting cracks, recent avalanches), snow stability class and new snow height.

The data are provided in a csv file (589 records); the variables are described in the corresponding read-me file.

These data are the basis of the following publication: Schweizer, J., Mitterer, C., Reuter, B., and Techel, F.: Avalanche danger level characteristics from field observations of snow instability, Cryosphere, 15, 3293-3315, https://doi.org/10.5194/tc-15-3293-2021, 2021.

 Acknowlegements
Many of the data were recorded by SLF observers and staff members, among those Roland Meister, Stephan Harvey, Lukas Dürr, Marcia Phillips, Christine Pielmeier and Thomas Stucki. Their contribution is gratefully acknowledged.

avalanche

display_name: avalanche

avalanche-danger

display_name: avalanche-danger

avalanche-forecasting

display_name: avalanche-forecasting

danger-level

display_name: danger-level

snow

display_name: snow

snow-instability

display_name: snow-instability

envidat

en: EnviDat: the Environmental Data Portal

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


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

en: Site photo of the forest station (BTB)

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

en: Site aerial photo (Bettlachstock)

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

en: Data plot of the forest station (BTB)

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

en: Data plot of the field station (BTF)

en: Data file.

en: Field station data (BTF)

en: Site photo of the field station (BTF)

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

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

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

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


en: model-validation-data snow-density model-calibration-data snow-depth snow-water-equivalent

en: swe2hs calibration and validation data

en:
 Contents of this archive

 README.md

 A readme file containing a description of the other files.

 automatic_stations_validation_data.csv

 Daily data from the automatic weather stations used for validation.

 Data sources and providers are listed in the SWE2HS paper, Table 1.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * site_id: code for the measurement site
  - HS_interpolated: boolean flag for interpolated values
  - SWE_interpolated: : boolean flag for interpolated values

 coordinates_swe2hs_paper_stations.csv

 Coordinates of all measurement sites used in the SWE2HS paper.

 Columns:

  * site_id: code for the measurement site
  * location_name: location name of the measurement site
  * lon_[wgs84]: longitude in WGS84
  * lat_[wgs84]: latitude in WGS84
  * elevation_[m]: atitude of the measurement site in [m]
  * dataset: dataset in which the station is included

 manual_station_calibration_data.csv

 Calibration data from the Swiss manual observer stations. Long station records
 trmmed to 15 random water-years.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * SWE_from_profile_[m]: biweekly measurement from the SWE in the measurement
   pit. Corrected with the bulk density in order to match the snow depth from
   the measurement stake. Please refer to the paper for further details.
  * site_id: code for the measurement site

 manual_stations_validation_data.csv

 Validation data from the Swiss manual observer stations. Remaining water-years
 from the long sttaion record not used for the calibration data.

 Columns:

  * date: timestamp of the format YYYY-MM-DD
  * HS_[m]: snow depth in [m]
  * SWE_[m]: snow water equivalent in [m]
  * SWE_from_profile_[m]: biweekly measurement from the SWE in the measurement
   pit. Corrected with the bulk density in order to match the snow depth from
   the measurement stake. Please refer to the paper for further details.
  * site_id: code for the measurement site

 manual_stations_used_deltasnow_parameters.csv

 Site specific DeltaSNOW model parameters used for the calculation of the daily
 SWE series in 'manual_stations_calibration_data.csv' and
 'manual_stations_validation_data.csv'.

 Parameters were optimized by reducing RMSE to the biweekly snow pit SWE measurements.
 Please refer to the paper for further details.

 A python implementation of the DeltaSNOW model was used for the calculation:
 pydeltasnow (https://pypi.org/project/pydeltasnow/)

 For a detailed description of the DeltaSNOW model parameters please see the
 respective publication:

 Winkler, M., Schellander, H., & Gruber, S. (2021). Snow water equivalents
 exclusively from snow depths and their temporal changes: the Δ snow model.
 Hydrology and Earth System Sciences, 25(3), 1165-1187.

 Columns:

  * site_id: code for the measurement site
  * rho_max: Maximum density of an individual snow layer produced by the DeltaSNOW model in [kg/m3]
  * rho_null: Fresh snow density for a newly created layer [kg/m3
  * c_ov: Overburden factor due to fresh snow [-]
  * k_ov: Defines the impact of the individual layer density on the compaction due to overburden [-]
  * k: Exponent of the exponential-law compaction [m3/kg]
  * tau: Uncertainty bound [m]
  * eta_null: Effective compactive viscosity of snow for “zero-density” [Pa s]

en:
The data in this repository was used for the calibration and validation of the
SWE2HS model in the following publication:
Aschauer, J., Michel, A., Jonas, T., & Marty, C. (2023). An empirical model to calculate snow depth from daily snow water equivalent: SWE2HS 1.0. Geoscientific Model Development Discussions, 1-19. https://doi.org/10.5194/gmd-2022-258
Contains daily snow water equivalent and snow depth timeseries from stations in the European Alps.

model-calibration-data

display_name: model-calibration-data

model-validation-data

display_name: model-validation-data

snow-density

display_name: snow-density

snow-depth

display_name: snow-depth

snow-water-equivalent

display_name: snow-water-equivalent

educ

en: Education, culture and sport

en: SWE2HS model calibration and validation data


maintainer: Anita C. Risch

en: ammonification nitrification fertilization grassland herbivore climate nitrogen soil global-change mineralization nutrient-network

en: Risch et al. 2020 - Raw data for publication "Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties"

en:
we assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

Study sites and experimental design
The 22 sites contributing to this project are part of the Nutrient Network Global Research Cooperative (NutNet, https://nutnet.umn.edu/). Mean annual temperature across our 22 sites ranged from -4 to 22°C, mean annual precipitation from 252 to 1,592 mm, and elevations from 6 to 4,261 m above sea level (Fig. 1, Supplementary Table S1). Soil organic C varied from 0.8 to 7.8%, soil total N from 0.1 to 0.6%, and the soil C:N ratio from 9.1 to 21.5. Soil clay content spanned from 3.0 to 35%, and soil pH from 3.4 to 7.6 (Supplementary Table S2). Thus, the sites covered a wide range of environments in which grasslands occur (Fig. 1, Supplementary Table S1 & S2).
At each site, the effects of nutrient addition and herbivore removal were tested via a randomized-block design (Borer et al., 2014; Supplementary Fig. S1a). Three replicate blocks with 10 treatment plots each were established at each site, with the exception of the site at bldr.us, where only two blocks were established (Supplementary Fig. S1a). The 10 plots were randomly assigned to a nutrient or fencing treatment, but only a subset of four plots was used in the current study, each with a different treatment (see below; Supplementary Fig. S1a). All plots were 5 x 5 m and divided into four 2.5 x 2.5 m subplots (Supplementary Fig. S1b). Each subplot was further divided into four 1 x 1 m square sampling plots, one of which was set aside for soil sampling (Borer et al., 2014; Supplementary Fig. S1b). Plots were separated by at least 1 m wide walkways.
In this study, we collected data from the following four treatments: (i) untreated control plots (Control), (ii) herbivore removal plots (Fence), (iii) plots fertilized with N, P, K, plus nine essential macro and micronutrients (NPK), and (iv) plots with simultaneous fertilizer addition and herbivore removal (NPK+Fence; Supplementary Fig. S1a). The number of years of treatment differed among sites (2 – 9 years since start of treatment; Supplementary Table S1). For the nutrient additions, all sites applied 10 g N m-2 yr-1 as time-release urea; 10 g P m-2 yr-1 as triple-super phosphate; 10 g K m-2 yr-1 as potassium sulfate. A micro-nutrient mix (Fe, S, Mg, Mn, Cu, Zn, B, Mo, Ca) was applied at 100 g m-2 together with K in the first year of treatments but not thereafter.
The vertebrate herbivore removal treatment (Fence) was established by fencing two plots, one control and one NPK plot, within each of the blocks (Supplementary Fig. S1a). We designed the fences so that they would effectively exclude aboveground mammalian herbivores with a body mass of over 50 g (Borer et al., 2014). At the majority of sites, the height of the fences was 180 cm, and the fence design included wire mesh (1 cm holes) on the first 90 cm along with a 30 cm outward-facing flange stapled to the ground to exclude burrowing animals; climbing and subterranean animals may potentially still access these plots (Borer et al., 2014). For slight modifications in fence design at a few sites see Supplementary Table S3. While most sites only had native herbivores, a few sites (4) were also grazed by domestic animals (Supplementary Table S1).
Potential and realized soil net N mineralization, ammonification, nitrification and other soil properties
Each site participating in the study received a package containing identical material from the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) to be used for sampling and on-site N incubations. For the field incubation, we followed the protocol by Risch et al. (2015, 2019). Briefly, we drove a 5 x 15 cm (diameter x depth) steel cylinder 13.5 cm deep into the soil after clipping the vegetation at randomized locations in each plot. The top 1.5 cm of the cylinder remained empty to capture incoming N from run-off or deposition with a polyester mesh bag (mesh-size 250 µm) filled with 13.2 ± 0.9 g of acidic and alkaline exchanger resin (1:1 mixture; ion-exchanger I KA/ion-exchanger III AA, Merck AG, Darmstadt). The bag was fixed in place with a metal Seeger ring (Bruetsch-Rüegger Holding, Urdorf, Switzerland). We then removed 1.5 cm soil at the bottom of the cylinder and placed another resin bag to capture N leached from the soil column. The exchange resin was saturated with H+ and Cl- prior to filling the bags by stirring the mixture in 1.2M HCl for 1 h and then rinsing it with demineralized water until the electrical conductivity of the water reached 5 μS/cm. The cylinders were then re-inserted into the cored hole, level with the soil surface, and incubated for an average of 42 days (range 40 to 57days). The individual site coordinators chose the timing of incubation to start approximately six weeks prior to peak plant biomass production. All incubations were completed between February 2015 and January 2016 accounting for differences in growing season between northern and southern hemispheres. At the end of the incubation, the cylinders were re-collected and immediately shipped to WSL in an insulated box together with cold packs to halt further mineralization. Gloves were worn at all times to avoid contamination of the samples. Upon arrival at WSL, we extracted the resin bags and a 20 g subsample of sieved soil (4 mm) separately in a 100 ml PE-bottle with 80 ml 1 M KCl for 1.5 h on an end-over-end shaker and filtered through ashless folded filter paper (DF 5895 150, ALBET LabScience). We measured NO3- (colorimetrically; Norman & Stucki, 1981) and NH4+concentrations (flow injection analysis; FIAS 300, Perkin Elmer) on these filtrates.
At the start of the field incubation, we additionally collected two soil cores of 5 x 12 cm (diameter x depth) in each sampling plot and composited them to measure potential soil net Nmin, soil chemical and biological properties (see below). We also collected an additional sample (5 x 12 cm) to assess soil physical properties, which remained within the steel cylinder. Both ends were tightly closed with plastic caps. Cores were carefully packed to avoid further disturbance, and together with the composited soil samples, were shipped to the laboratory at WSL within a few days after collection.
From the composited samples, we extracted an equivalent of 20 g dry soil with KCl, as described above, and measured NO3- and NH4+concentrations. Realized soil net Nmin was then calculated as the difference between the inorganic N content of samples collected at the end of the incubation (plus N extracted from the bottom resin bag) and the N content at the beginning of the incubation; values were scaled to represent daily mineralization rates (mg N kg-1soil d-1; Risch et al., 2015). Realized soil net Nmin values represent an average period of 42 days prior to peak biomass, typically the highest period of biological activity, and not the entire year (Risch et al., 2019).
A second subsample of the composited sample was used to determine potential soil net Nmin in the laboratory (Risch et al., 2019). Briefly, we weighed duplicate samples (8 g dry soil) into 50-ml Falcon tubes. Soil moisture was brought to 60% of the field capacity of each plot, the Falcon tubes tightly closed and then incubated at 20°C for 42 days in a dark room. Every week the Falcon tubes were opened and ventilated. At the end of the incubation, the soil samples were extracted the same way as described above and NO3- and NH4+ was determined. Potential soil net Nmin was calculated as the difference between the N content before and after the incubation and scaled to represent daily values (mg N kg-1soil d-1). Using our NO3- and NH4+ measures we also calculated potential and realized soil net nitrification and soil net ammonification to be able to better understand the drivers of fertilization and herbivore removal effects on potential and realized soil net Nmin.
A third subsample of the composite soil sample was sieved (2 mm mesh) and microbial biomass (μg Cmic g-1 soil dry weight) was estimated by measuring the maximal respiratory response to the addition of glucose solution (4 mg glucose per g soil dry weight dissolved in distilled water; substrate-induced respiration method) on approximately 5.5 g of soil (Anderson & Domsch, 1978). The rest of the composited sample was dried at 65°C for 48 h, ground and sieved (2 mm mesh) to assess a series of soil chemical properties (Risch et al., 2019). We measured the percentage of clay as an indicator of soil texture (Gee & Bauder, 1986; Risch et al., 2019).
Statistical analyses
Potential and realized soil net Nmin were square root transformed to account for a highly skewed data distribution (yt = sign(y)*sqrt|y|; negative values in the data set impeded log transformation). To assess treatment effects on potential and realized soil net Nmin, we used linear mixed effects models (LMMs) fitted by maximum likelihood using the lme function from the nlme package (version 3.131.1; Pinheiro et al., 2016), R version 3.6.1; R Foundation for Statistical Computing. Treatment (Control, Fence, NPK, NPK+Fence) was a fixed factor, with site and block as random factors, where block was nested within site. We also tested for effects of time since start of treatments in preliminary analyses by adding total treatment years as an additional fixed factor. We did not find a significant effect of years of treatment, and thus dropped this variable from the models. The LMMs were corrected using varIdent if the homogeneity of variance criterion was not met (Pinheiro et al., 2016). To visualize our results, we calculated treatment effects using Cohens’ d statistic (Cohen, 1977; Koricheva et al., 2013). Note that calculating response ratios (or log response ratios) was not possible with our data, as we have both negative and positive values. We also fitted LMMs for potential and realized soil net ammonification and nitrification to gain more insight into how global change affects the processes underpinning potential and realized soil net Nmin. We also sqrt-transformed (see above) these dependent variables. Treatment was included as a fixed factor with random factors as described above. In addition, we assessed how potential and realized soil net Nmin were related to potential and realized soil net ammonification and nitrification, respectively. For this, we calculated site averages for each treatment separately. We then ran LMMs, with potential and realized soil net Nmin as the dependent variable, potential and realized soil net ammonification/nitrification as the independent ones. Site was included as a random factor.
Based on our previous work (Risch et al., 2019) and the existing literature (Schimel & Bennett, 2004; Liu et al., 2017), we developed a priori causal conceptual models of relationships among treatments, environmental drivers, and potential and realized soil net Nmin (Supplementary Fig. S2) to test with structural equation modelling (SEM) using a d-sep approach (Shipley, 2009; Lefcheck, 2016). The variables included in the model were long-term climatic conditions, specifically, site-level mean annual precipitation (MAP) and temperature of the wettest quarter (T.q.wet), plot-level soil texture (clay content) and soil microbial biomass. Mean annual precipitation and T.q.wet were obtained from WorldClim (Hijmans et al., 2005) (http://www.worldclim.org/) and together with the experimental treatments were predicted to directly affect soil properties and soil net Nmin (Supplementary Fig. S2). Soil clay content was, in turn, predicted to affect microbial biomass and soil net Nmin. Because we determined microbial biomass prior to incubating the samples in the laboratory or field, we assumed that the abundance of these microbes would be responsible for N process rates and not vice versa (Supplementary Fig. S2). We tested our conceptual model (Supplementary Fig. S2) using the piecewiseSEM package (version 2.0.2; Lefcheck, 2016) in R 3.4.0, in which a structured set of linear models are fitted individually. This approach allowed us to account for the nested experimental design, and overcome some of the limitations of standard structural equation models, such as small sample sizes (Shipley, 2009; Lefcheck, 2016). We used the lme function of the nlme package to model response variables, including site as a random factor. Good fit of the SEM was assumed when Fisher’s C values were non-significant (p > 0.05). For all significant interactions between covariates and experimental treatments detected in the SEMs, we calculated treatment effect sizes, i.e. the differences in potential or realized soil net Nmin between Control and treatments (Fence, NPK, NPK+Fence) and plotted these values against the climate or soil covariates. Finally, we fitted LMMs for the soil variables included in our SEMs, with treatment as the fixed factor, and with site and block as random factors, where block was nested within site.

format: XLS

en:
This dataset contains all data on which the following publication below is based.

Paper Citation:

Risch Anita C., Zimmermann, Stefan, Moser, Barbara, Schütz, Martin, Hagedorn, Frank, Firn, Jennifer, Fay, Philip A., Adler, Peter B., Biederman, Lori A., Blair, John M., Borer, Elizabeth T., Broadbent, Arthur A.D., Brown, Cynthia S., Cadotte, Marc W., Caldeira, Maria C., Davies, Kendi F., di Virgilio, Augustina, Eisenhauer, Nico, Eskelinen, Anu, Knops, Johannes M.H., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Prober, Suzanne M., Seabloom, Eric W., Siebert, Julia, Silveira, Maria L. , Speziale, Karina L., Stevens, Carly J., Tognetti, Pedro M., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties. Global Change Biology

Please cite this paper together with the citation for the datafile.

We assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

ammonification

display_name: ammonification

climate

display_name: climate

fertilization

display_name: fertilization

global-change

display_name: global-change

grassland

display_name: grassland

herbivore

display_name: herbivore

mineralization

display_name: mineralization

nitrification

display_name: nitrification

nitrogen

display_name: nitrogen

nutrient-network

display_name: nutrient-network

soil

display_name: soil

envidat

en: EnviDat: the Environmental Data Portal

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

en: Anthropogenic change and soil net N mineralization


dischmex-meteorological-measurements

maintainer: Rebecca Mott

title_for_slug: dischmex-meteorological-measurements

en: meteorological-measurements dischma meteo-station meteorological-data dischmex

en: Meteorological measurements 2016

en: data

en: Meteorological measurement 2015

en: Overview sensors

en: Meteorological measurements 2014

en: Location of the meteorological stations

en: Meteorological measurement 2014

en:
Meteorological measurements recorded in the Dischma valley from 2014-2016. In 2014 and 2015 we used 11 mobile weather stations from sensorscope to record meteorological parameter in the upper Dischma valley in the closer surroundings of the Gletschboden area. The meteorological stations are eqiupped with at least air temperature/humidity, wind velocity and wind direction sensors. Some stations are additionally equipped with precipitation, shortwave radiation and snow surface temperature sensors.
Three transects were installed at different aspects and were equipped with air temperature/humidity and wind sensors. Transect 1 (stations 2-4) provides meteorological Information on an east-north-east facing slope at elevations ranging between 2100 m and 2500 m. Transect 2 (stations 5-7) provides meteorological Information on a south-west slope and transect 3 (stations 8-10) on a north-west slope. Station 1 is fully equipped with meteorological sensors (temperature/humidity, wind, IR, up and downwand shortwave radiation and precipitation).
In 2016, mobile stations from sensorscope were replaced with six permanent meteorological stations. Meteorological stations 1-3 are equipped with an air temperature/humidity sensor, two wind speed sensors, a wind direction sensor and an incoming and outgoing shortwave radiation sensor. Stations 4 and 6 are equipped with an air temperature/humidity sensor and a wind speed/direction sensor. Station 5 is a equipped with an air temperature/humidity sensor, a wind speed/direction sensor, a snow surface temperature sensor, an incoming and outgoing shortwave radiation sensor and an incoming longwave radiation sensor.

dischma

display_name: dischma

dischmex

display_name: dischmex

meteo-station

display_name: meteo-station

meteorological-data

display_name: meteorological-data

meteorological-measurements

display_name: meteorological-measurements

en: DISCHMEX - Meteorological measurements


cadastre-des-sites-pollues

educ

en: Education, culture and sport

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

envi

fr: Environnement

de: Umwelt

en: Environment

it: Ambiente

title_for_slug: cadastre-des-sites-pollues

fr: cadastre site-pollue

de: grundbuch belasteter-standort

label: geocat.ch permalink

fr: Accès aux données (fr) : téléchargement et services web (Géoportail cantonal)

fr: Datenzugriff (de): Download und Webservices (Kantonales Geoportal)

fr: Carte des zones dont la pollution du sous-sol est établie ou très probable. Ces zones sont des sites de stockage (anciennes décharges), des aires d'exploitation (entreprises), des lieux d'accident ou des installations de tir. Dans tous les cas, on distingue: a) les sites pour lesquels on ne s'attend à aucune atteinte nuisible ou incommodante, et b) les sites pour lesquels une investigation est préconisée afin d'évaluer la nécessité d'une surveillance ou d'un assainissement. Le cadastre des sites pollués est un outil de planification dynamique, mis à jour en fonction des données disponibles.

spatial: Canton de Fribourg (FR)

fr: Geoinformation Canton Fribourg

de: Geoinformation Kanton Freiburg

en: Geoinformation Canton Fribourg

it: Geoinformazione Canton Friburgo

fr: Les géodonnées publiques du Canton Fribourg sont gérées par le Centre de compétence SIT du Service du cadastre et de la géomatique SCG et mises à disposition sous forme de services web et de téléchargement via le géoportail cantonal.

en: The public geodata of the Canton Fribourg are managed by the GIS Competence Center of the Office of Surveying and Geomatics (VGA) and made available via the cantonal geoportal as web services and for download.

de: Die öffentlichen Geodaten des Kantons Freiburg werden durch das GIS-Kompetenzzentrum des Amtes für Vermessung und Geomatik VGA verwaltet und über das kantonale Geoportal als Webservices und zum Download bereitgestellt.

it: I geodati pubblici del Canton Friburgo sono gestiti dal Centro di competenza GIS dell'Ufficio della Misurazione e della Geomatica (SCG) e messi a disposizione tramite il geoportale cantonale come servizi web e per il download.

political_level: canton

value: Fribourg-Kt - Geocat Harvester

fr: Cadastre des sites pollués


reblagen

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

title_for_slug: reblagen

fr: geodonnees viticulture droits-economiques economie viticulture agriculture production-agricole province

de: geodaten rebbau wirtschaftliche-rechte wirtschaft weinbau landwirtschaft agrarproduktion gebiet

en: geodata viticulture economic-rights economy viticulture agriculture agricultural-production province

it: geodati viticoltura diritti-economici economia viticoltura agricoltura produzione-agricola provincia

de: reblagen

de: Reblagen

format: WMS

format: WFS

de: ThurGIS Shop

de: Dieser Datensatz beinhaltet die Zusatzbezeichnungen der Weinproduktion nach Reblagen.

spatial: Kanton Thurgau (TG)

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau

en: Canton of Thurgau

it: Cantone di Turgovia

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

value: TG-Kt - Geocat Harvester


vogelreservate

title_for_slug: vogelreservate

fr: geodonnees chasse oiseau-migrateur avifaune-aquatique reserve-de-chasse

de: geodaten jagd zugvogel wasservogel jagdreservat

en: geodata hunting migratory-bird waterfowl hunting-reserve

it: geodati caccia uccello-migratore avifauna-acquatica riserva-di-caccia

de: vogelreservat

de: Wasser- und Zugvogelreservate

de: Grenzen der Vogelreservate im Thurgau, inklusive der Adressen der Aufseher

de: Vogelreservate


regi

de: Regionen und Städte

envi

de: Umwelt

de: geodaten naturschutz landschaftsschutz landschaftsschutz raumplanung naturschutzgebiet nationales-umweltschutzprogramm amphibien

en: geodata nature-conservation landscape-conservation landscape-conservation physical-planning national-reserve national-conservation-programme amphibian

it: geodati conservazione-della-natura conservazione-del-paesaggio conservazione-del-paesaggio pianificazione-dello-spazio-fisico riserve-nazionali programma-nazionale-di-conservazione anfibi

de: Amphibienlaichgebiete

de: Definiert den Perimeter des nationalen Schutzgebietes und legt die Behandlung der Teilflächen fest. Rechtlich gesichert mit einer kantonalen Schutzanordnung. Die dargestellten Perimeter sowie die Unterteilung der einzelnen Schutzbereiche weichen von den Datensätzen des Bundes ab. Es handelt sich um eine Präzisierung der Bundesdaten. Ebenso sind Abweichungen zu den analogen Originalplänen möglich. Rechtlich bindend sind die in der Schutzanordnung dargestellten Pläne, einsehbar über den ÖREB-Kataster.

de: Schutzpläne der Amphibienlaichgebiete von nationaler Bedeutung


educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

ener

de: Energie

fr: geodonnees dechets eau eau redevance-sur-les-eaux-usees conservation-de-leau

de: geodaten abfall wasser wasser abwasserabgabe gewasserschutz

en: geodata waste water water waste-water-charge water-conservation

it: geodati rifiuti acqua acqua tassa-sulle-acque-di-rifiuto conservazione-delle-acque

de: Grundwasserkarte

de: Der Geobasisdatensatz beinhaltet Grundwasseraustritte, Grundwassererfassungen und Grundwasseranreichungsanlagen. Sie sind Bestandteil der Grundwasserkarte und der Gewässerschutzkarte.

spatial: Thurgau Grundwasseraustritte Bounding Box

de: Grundwasseraustritte, -fassungen und -anreicherungsanlagen


notfalltreffpunkte

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

it: Governo e settore pubblico

title_for_slug: notfalltreffpunkte

en: geodata natural-disaster ecocatastrophe

de: notfalltreffpunkte

de: Notfalltreffpunkte

de: ThurGIS Shop

de: Standorte der Notfalltreffpunkte im Kanton Thurgau, welche als Anlaufstelle für die Bevölkerung im Ereignisfall dienen. Bewohnerinnen und Bewohner erhalten in einer Notlage an den Standorten Hilfe und Informationen. Im Falle einer Evakuation bildet der Notfalltreffpunkt die Anlaufstelle für Personen welche nur begrenzt mobil sind.

kanton-thurgau

de: Kanton Thurgau

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.


en: patchy-snow-covers snow-ablation-rates tls riegl-vz6000 terrestrial-laser-scanning

en: Snowmask 2015

en: Digital Elevation Modell 2014

en: Snowmask 2014

en: Digital Elevation Modell 2016

en: Snowmask 2016

en: Digital Elevation Modell 2015

en: Gletschboden test site

en: We recorded snow ablation maps with a terrestrial laser scanner (TLS, Riegl-VZ6000) at the Gletschboden area. The TLS position is located approximately 30 vertical meters above the Gletschboden area at a northerly exposed slope. In total 44 TLS measurement sets have been conducted in three consecutive years 2014-2016 (2014: 13 measurements; 2015: 17 measurements; 2016: 14 measurements). The TLS system has a single-point measurement frequency of 300 kHz and a beam divergence of 0.007°. This set-up allows a horizontal resolution of approximately 0.01 m in 100 m distance to the TLS position. One scan of the Gletschboden area lasts approximately 15 minutes. The travel time from the laser scanner towards the surface is recorded and afterwards converted into a point cloud of distances. 5 reflectors located at the Gletschboden area and in the closer surroundings were additionally scanned during each measurement to transform the point cloud from the scanner own coordinate system into Swiss coordinates. Additionally, orthophotos have been created by using pictures recorded from the TLS in order to provide snow mask maps. Snow and bare ground can be distinguished by the RGB color information of the orthophoto. Cells with blue band information greater than 175 were categorized as snow and all cells with values smaller or equal 175 were categorized as bare ground.

patchy-snow-covers

display_name: patchy-snow-covers

snow-ablation-rates

display_name: snow-ablation-rates

terrestrial-laser-scanning

display_name: terrestrial-laser-scanning

tls

display_name: tls

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

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.

en: DISCHMEX - High-resolution daily snow ablation rates in an Alpine environment


kantonsstrassen-strassenklassen

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: kantonsstrassen-strassenklassen

fr: geodonnees itineraire route route reseau-routier trafic-routier transport itineraire-a-grande-circulation

de: geodaten fahrweg-streckenfuhrung offentliche-strasse strasse strassennetz strassenverkehr verkehr verkehrsweg

en: geodata route highway road road-network road-traffic transport traffic-route

it: geodati percorso superstrada strada rete-stradale traffico-su-strada trasporti strada-di-comunicazione

de: strassenklassen

de: Kantonsstrassen

de: Mit dem im Gesetz über Strassen und Wege (RB 725.1) sind die Kantonsstrassen in zwei Klassen unterteilt. Die Strassen 1. Klasse sind die Strassenverbindungen von kantonaler Bedeutung und jene Strassen, die für einen effizienten und bedarfsgerechten Anschluss der Politischen Gemeinden an diese Verbindungen erforderlich sind. Strassen 2. Klasse sind alle übrigen Kantonsstrassen. Der Vollständigkeit halber sind auch Nationalstrassen dargestellt.

kanton-thurgau

en: Canton of Thurgau

de: Kantonsstrassen Strassenklassen


jagdbanngebiete

envi

fr: Environnement

de: Umwelt

en: Environment

title_for_slug: jagdbanngebiete

de: geodaten kontrolliertes-jagdgebiet jagd

en: geodata controlled-hunting-zone hunting

de: jagdbann

de: Jagdbanngebiete

de: Grenzen der Thurgauer Jagdbanngebiete, inklusive der Adressen der Jagdaufseher


de: strassenverkehrslarm verkehrslarmschutz umweltbelastung-durch-verkehr larmbelastung immissionsbelastung geodaten

en: road-traffic-noise traffic-noise-control environmental-impact-of-transport noise-pollutant immission-load geodata

it: rumore-del-traffico-stradale controllo-del-rumore-da-traffico impatto-ambientale-dei-trasporti inquinante-acustico carico-di-immissione geodati

de: Laermemissionskataster

de: ThurGIS Shop

de: Strassen-Lärm-Emissions-Kataster (SLEK) im Kanton Thurgau mit Emissionspegel Tag und Nacht.

de: Strassen-Lärm-Emissions-Kataster (SLEK) für Staatsstrassen


regi

de: Regionen und Städte

fr: geodonnees planification eaux-geographie restauration-de-leau

de: geodaten planung gewasser gewassersanierung

en: geodata planning water-geographic restoration-of-water

it: geodati pianificazione acque-geografia ripristino-dellacqua

de: Revitalisierungsplanung Gewässer

de: Die strategische Planung der Fliessgewässer umfasst den Gewässerlauf sowie Bauwerke und Abstürze, welche die Längsvernetzung beeinträchtigen. Die Erfassung richtet sich nach der Vollzugshilfe "Revitalisierung Fliessgewässer − strategische Planung" (BAFU 2012). Es werden diejenigen Gewässerabschnitte im beeinträchtigten Zustand identifiziert, an denen mit Revitalisierungen ein grosser Nutzen für die Natur und Landschaft im Verhältnis zum voraussichtlichen Aufwand erzielt werden kann. Die Planung definiert die Massnahmentypen und legt die Fristen zur Umsetzung der Massnahmen über eine Dauer von 20 Jahren fest.

kanton-thurgau

de: Kanton Thurgau

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

de: Planung der Revitalisierung von Fliessgewässern


kantonsstrassen-durchgangsstrassen

tran

de: Verkehr

title_for_slug: kantonsstrassen-durchgangsstrassen

de: geodaten fahrweg-streckenfuhrung offentliche-strasse strasse strassennetz strassenverkehr verkehr verkehrsweg

de: durchgangsstrassen

de: Kantonsstrassen

de: Kantonale Durchgangsstrassen, bzw. Hauptstrassen gemäss der Durchgangsstrassenverordnung (SR 741.272).

de: Kantonsstrassen Durchgangsstrassen


kantonsstrassen-strassenklassierung

title_for_slug: kantonsstrassen-strassenklassierung

de: strassenklassierung

de: Im Hinblick auf die Netzfunktion und die Kriterien der Verkehrsplanung ist jede Strasse einem massgebenden Strassentyp zuzuordnen. Als Grundlage der Klassierung dienen die verkehrsplanerische Funktion der Strasse bzw. ihre Bedeutung im Strassennetz.

de: Kantonsstrassen Strassenklassierung


leitungskataster-datensammelstellen

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

title_for_slug: leitungskataster-datensammelstellen

fr: geodonnees administration

en: geodata administration

it: geodati amministrazione

de: datensammelstellen

de: ThurGIS Shop

de: Die Gemeinden betreiben für die Daten des Leitungskatasters in ihrem Zuständigkeitsbereich eigene Datensammelstellen oder beauftragen Private mit dem Betrieb einer Datensammelstelle. Die Datensammelstellen, welche von den Gemeinden oder von beauftragten Privaten betrieben werden, prüfen die Daten gemäss den kantonalen Vorgaben und übermitteln die Daten an das Amt für Geoinformation.

de: Leitungskataster Datensammelstellen


oereb-kataster-datensammelstellen

regi

de: Regionen und Städte

it: Regioni e città

envi

de: Umwelt

title_for_slug: oereb-kataster-datensammelstellen

de: Die Gemeinden betreiben für die Daten des ÖREB-Katasters in ihrem Zuständigkeitsbereich eigene Datensammelstellen oder beauftragen Private mit dem Betrieb einer Datensammelstelle. Die Datensammelstellen, welche von den Gemeinden oder von beauftragten Privaten betrieben werden, prüfen die Daten gemäss den kantonalen Vorgaben und übermitteln die Daten an das Amt für Geoinformation.

kanton-thurgau

de: Kanton Thurgau

de: OEREB-Kataster Datensammelstellen


envi

it: Ambiente

de: geodaten naturschutz landschaftsschutz landschaftsschutz moor naturschutzgebiet nationales-umweltschutzprogramm raumplanung

en: geodata nature-conservation landscape-conservation landscape-conservation bog national-reserve national-conservation-programme physical-planning

it: geodati conservazione-della-natura conservazione-del-paesaggio conservazione-del-paesaggio torbiera-acida riserve-nazionali programma-nazionale-di-conservazione pianificazione-dello-spazio-fisico

de: HochUebergangsmoore

de: Hoch- und Übergangsmoore

de: Definiert den Perimeter des nationalen Schutzgebietes. Rechtlich gesichert mit einer kantonalen Schutzanordnung. Die dargestellten Perimeter sowie die Unterteilung der einzelnen Schutzbereiche weichen von den Datensätzen des Bundes ab. Es handelt sich um eine Präzisierung der Bundesdaten. Ebenso sind Abweichungen zu den analogen Originalplänen möglich. Rechtlich bindend sind die in der Schutzanordnung dargestellten Pläne, einsehbar über den ÖREB-Kataster.

kanton-thurgau

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

de: Schutzpläne der Hoch- und Übergangsmoore von nationaler Bedeutung


fruchtfolgeflachen

title_for_slug: fruchtfolgeflachen

fr: geodonnees amenagement-du-territoire amenagement-du-territoire valeur-agronomique gestion-agricole exploitation-agricole exploitation-agricole rotation-des-cultures

de: geodaten flachennutzungsplanung raumordnung-und--planung agronomischer-wert agrarmanagement landwirtschaftliche-bewirtschaftung landwirtschaftliche-nutzung fruchtfolge

en: geodata land-use-planning land-management-and-planning agronomic-value agricultural-management agricultural-exploitation agricultural-exploitation crop-rotation

de: SUB

de: Fruchtfolge

de: Fruchfolgeflächen (FFF) sind der agronomisch besonders wertvolle Teil des für die landwirtschaftliche Nutzung geeigneten Kulturlandes, vgl. Sachplan FFF.

de: Fruchtfolgeflächen


neophytenstandorte

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

title_for_slug: neophytenstandorte

fr: geodonnees flore bois population-vegetale

de: geodaten flora wald pflanzenbestand

en: geodata flora-biology wood plant-population

it: geodati flora-biologia bosco popolazione-vegetale

de: neophyten

de: Neophyten

de: ThurGIS Shop

de: Neophyten-Vorkommen im Thurgau. Neophyten sind gebietsfremde Pflanzen, die durch ihr invasives Verhalten einheimische Arten verdrängen und gesundheitliche, bauliche und wirtschaftliche Schäden verursachen können.

de: Neophytenstandorte


hydrologische-messnetze

regi

de: Regionen und Städte

envi

de: Umwelt

title_for_slug: hydrologische-messnetze

fr: geodonnees reseau-de-mesure hydrologie hydrologie mesure-methode-analytique eaux-geographie

de: geodaten messstellennetz hydrologie hydrologie messung gewasser

en: geodata monitoring-network hydrology hydrology measuring water-geographic

it: geodati rete-di-monitoraggio idrologia idrologia misurazione-in-generale acque-geografia

de: Hydrologische Messnetze

de: Kombination der Daten aus den hydrologischen Messnetzen Grundwasser und Oberflächengewässer. Der Datensatz beinhaltet Informationen über Messstationen für Pegel-, Abfluss- und Temperatur von Oberflächengewässern sowie für Grundwasserstand, Flurabstand, Temperatur und elektrischer Leitfähigkeit von Grundwasser. Die Daten enthalten zudem aktuelle Messdaten als csv-Datei (byte array Attribut) über jeweils ein Jahr rückwärts ab Bezugsdatum.

kanton-thurgau

fr: Canton de Thurgovie

de: Kanton Thurgau


inline-skating-routen

tran

de: Verkehr

title_for_slug: inline-skating-routen

fr: geodonnees itineraire-a-grande-circulation itineraire route route reseau-routier reseau-routier transport transport-prive

de: geodaten verkehrsweg fahrweg-streckenfuhrung strasse strasse strassennetz strassennetz verkehr individualverkehr

en: geodata traffic-route route road road road-network road-network transport private-transport

it: geodati strada-di-comunicazione percorso strada strada rete-stradale rete-stradale trasporti trasporto-privato

de: Skate

de: Langsamverkehr: Inline-Skating-Netz (Routen) signalisiert durch Wegweiser

kanton-thurgau

it: Cantone di Turgovia

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

de: Inline-Skating-Routen


okomorphologie-stehende-gewasser

title_for_slug: okomorphologie-stehende-gewasser

fr: geodonnees lac eaux-geographie

de: geodaten see gewasser

en: geodata lake water-geographic

it: geodati lago acque-geografia

de: Oekomorphologie

de: Ökomorphologie

de: Ökomorphologie Ober- und Untersee: Der Datensatz beinhaltet die Ökomorphologie des Ober- und Untersees. Die Bewertung erfolgte nach der Methode der Internationalen Gewässerschutzkommission für den Bodensee (IGKB). Ökomorphologie Kleinseen: Der Datensatz beinhaltet die Ökomorphologie von dreizehn Kleinseen. Die Bewertung erfolgte nach der Methode des Bundesamts für Umwelt (BAFU). Es werden die vier Uferkompartimente Flachwasserzone, Uferlinie, Ufersteifen und Hinterlandstreifen bewertet. Diese vier Uferkompartimente werden zu einer Gesamtbeurteilung aggregiert.

de: Ökomorphologie stehende Gewässer


sirenenstandorte

gove

fr: Gouvernement et secteur public

de: Regierung und öffentlicher Sektor

en: Government and public sector

regi

de: Regionen und Städte

en: Regions and cities

title_for_slug: sirenenstandorte

de: geodaten katastrophenschutz naturgefahr

de: Sirenenstandorte

de: ThurGIS Shop

de: Darstellung der Standorte aller Sirenen im Kanton Thurgau


kantonsstrassen-verkehrslastklassen

tran

de: Verkehr

en: Transport

title_for_slug: kantonsstrassen-verkehrslastklassen

de: geodaten fahrweg-streckenfuhrung strasse strasse umweltbelastung-durch-verkehr verkehr

en: geodata route road road environmental-impact-of-transport transport

it: geodati percorso strada strada impatto-ambientale-dei-trasporti trasporti

de: Verkehrslastklassen

de: Einteilung der Kantonsstrassen in sechs verschiedene Verkehrslastklassen. Die Klassen unterscheiden zwischen einer täglichen Verkehrsbelastung von sehr leicht bis extrem schwer (T1 - T6).

kanton-thurgau

de: Kanton Thurgau

de: Kantonsstrassen Verkehrslastklassen


kontrollierte-ursprungsbezeichnung

econ

fr: Économie et finances

de: Wirtschaft und Finanzen

en: Economy and finance

it: Economia e finanze

title_for_slug: kontrollierte-ursprungsbezeichnung

fr: geodonnees viticulture province droits-economiques economie production-agricole viticulture agriculture

de: geodaten rebbau gebiet wirtschaftliche-rechte wirtschaft agrarproduktion weinbau landwirtschaft

en: geodata viticulture province economic-rights economy agricultural-production viticulture agriculture

it: geodati viticoltura provincia diritti-economici economia produzione-agricola viticoltura agricoltura

de: ursprung

de: Ursprungsbezeichnungen Weinproduktion

de: Dieser Datensatz beinhaltet die kontrollierten Ursprungsbezeichnung der Weinproduktion.

kanton-thurgau

en: Canton of Thurgau

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

de: Kontrollierte Ursprungsbezeichnung


zivilschutzregionen

gove

de: Regierung und öffentlicher Sektor

it: Governo e settore pubblico

regi

fr: Régions et villes

de: Regionen und Städte

title_for_slug: zivilschutzregionen

fr: geodonnees protection-civile

de: geodaten zivilschutz

en: geodata civilian-protection

it: geodati protezione-civile

de: Zivilschutzregionen

de: Einteilung der Zivilschutzregionen des Kantons Thurgau


envi

de: Umwelt

en: Environment

de: geodaten landschaftsschutz landschaftsschutz naturschutz naturschutzgebiet nationales-umweltschutzprogramm raumplanung moor

en: geodata landscape-conservation landscape-conservation nature-conservation national-reserve national-conservation-programme physical-planning bog

it: geodati conservazione-del-paesaggio conservazione-del-paesaggio conservazione-della-natura riserve-nazionali programma-nazionale-di-conservazione pianificazione-dello-spazio-fisico torbiera-acida

de: Flachmoore

de: ThurGIS Shop

de: Definiert den Perimeter des nationalen Schutzgebietes und legt die Behandlung der Teilflächen fest. Rechtlich gesichert mit einer kantonalen Schutzanordnung. Die dargestellten Perimeter sowie die Unterteilung der einzelnen Schutzbereiche weichen von den Datensätzen des Bundes ab. Es handelt sich um eine Präzisierung der Bundesdaten. Ebenso sind Abweichungen zu den analogen Originalplänen möglich. Rechtlich bindend sind die in der Schutzanordnung dargestellten Pläne, einsehbar über den ÖREB-Kataster.

de: Schutzpläne der Flachmoore von nationaler Bedeutung


siedlungsverzeichnis

title_for_slug: siedlungsverzeichnis

fr: geodonnees identification-du-lieu-sig etablissement-humain statistiques

de: geodaten ortsbestimmung siedlung statistik

en: geodata scene-identification human-settlement statistics

it: geodati identificazione-della-scena insediamento-umano statistica

de: siedlungsverzeichnis

de: Siedlungsverzeichnis

de: Siedlungsverzeichnis; Siedlungsgebiete ohne parzellenscharfe Abgrenzung; jedes Wohngebäude gemäss GWR (Eidgenössisches Gebäude- und Wohnungsregister) ist einer Siedlung zugeordnet. Infrakommunale statistische Gebietseinheit; Festsetzung der Namensschreibweisen (prov. Zwischenstand).

kanton-thurgau

de: Kanton Thurgau


netz-des-offentlichen-verkehrs

tran

fr: Transports

de: Verkehr

it: Trasporti

title_for_slug: netz-des-offentlichen-verkehrs

fr: geodonnees transport-en-commun voie-ferree reseau-ferroviaire deplacement-journalier-domicile-travail gare gare-routiere transport trafic-ferroviaire transport-de-voyageurs

de: geodaten offentlicher-verkehr eisenbahn eisenbahnnetz pendeln bahnhof busbahnhof verkehr schienenverkehr personenverkehr

en: geodata public-transport railway railway-network commuting station bus-station transport rail-traffic passenger-transport

it: geodati trasporto-pubblico ferrovia rete-ferroviaria pendolarismo stazione stazione-autolinee trasporti traffico-ferroviario trasporto-passeggeri

de: oev

de: Öffentlicher Verkehr

de: Beinhaltet Bushaltestellen und Bus-/ Bahnlinien und deren Berechnungsdistanzen und Fahrplanangebote sowie die Gebiete der Anrufsammeltaxis.

kanton-thurgau

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.

de: Netz des öffentlichen Verkehrs


elemente-mit-landschaftsqualitat

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

regi

de: Regionen und Städte

it: Regioni e città

title_for_slug: elemente-mit-landschaftsqualitat

fr: geodonnees gestion-agricole exploitation-agricole exploitation-agricole agriculture politique-de-preservation-des-paysages

de: geodaten agrarmanagement landwirtschaftliche-bewirtschaftung landwirtschaftliche-nutzung landwirtschaft landschaftspflege

en: geodata agricultural-management agricultural-exploitation agricultural-exploitation agriculture landscape-conservation-policy

it: geodati gestione-agricola gestione-agricola sfruttamento-agricolo agricoltura politica-di-conservazione-del-paesaggio

de: Elemente mit Landschaftsqualität

de: Das Modell beschreibt die Ebenen Landschaftsräume, Projektperimeter und Vertragsobjekte. Die Erfassung von Vertragsobjekten ist optional. Im Kanton Thurgau werden keine Vertragsobjekte LQ im GIS erfasst.


rad-routen

title_for_slug: rad-routen

fr: geodonnees piste-cyclable itineraire-a-grande-circulation transport-prive transport

de: geodaten radweg verkehrsweg individualverkehr verkehr

en: geodata cycle-path traffic-route private-transport transport

it: geodati pista-ciclabile strada-di-comunicazione trasporto-privato trasporti

de: Velowegnetze Freizeit

de: ThurGIS Shop

de: Velowegnetze für die Freizeit: Veloweg-Netz (Routen) und Mountainbike-Netz (Routen) signalisiert durch Wegweiser

de: Velowegnetze für die Freizeit


biberreviere

envi

fr: Environnement

de: Umwelt

it: Ambiente

title_for_slug: biberreviere

fr: geodonnees ecologie-animale population-animale habitat-animal espece-animale

de: geodaten tierokologie tierbestand tierhabitat tierart

en: geodata animal-ecology animal-population animal-habitat animal-species

it: geodati ecologia-animale popolazione-animale habitat-animale specie-animale

de: Biber

de: Der Datensatz zeigt die Zentren aktiver Biberreviere im Kanton Thurgau zum letzten Erhebungszeitpunkt im Winter 2017/18. Die systematische Bestandeserhebung erfolgt seit Winter 2007/08 jeweils im Abstand von 5 Jahren nach einer schweizweit standardisierten Methode. Bei der letzten Erhebung wurden total 900 km Gewässerlänge kartiert. Die Revierzentren werden anhand der im Feld kartierten Biberspuren (Dämme, Baue, Frass- und Fussspuren) theoretisch abgeleitet. Der Sozialstatus der Reviere (Einzel-, Paar- oder Familienrevier) wird gemäss seiner Veränderung gegenüber der letzten Erhebung ausgewiesen.

kanton-thurgau

de: Kanton Thurgau

de: Biberreviere


kunstbautenkataster

tran

de: Verkehr

title_for_slug: kunstbautenkataster

fr: geodonnees infrastructure-routiere structure-batie transport

de: geodaten verkehrsinfrastruktur bauwerk verkehr

en: geodata traffic-infrastructure built-structure transport

it: geodati infrastrutture-per-il-traffico struttura-edificata trasporti

de: Kunstbauten

de: Kunstbautenkataster

de: Beinhaltet alle Kunstbauten des Kantons Thurgau

kanton-thurgau

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.


hohenkurven

regi

de: Regionen und Städte

title_for_slug: hohenkurven

fr: geodonnees modele-terrestre-numerique altitude altitude

de: geodaten digitales-gelandemodell hohe hohe

en: geodata digital-land-model altitude elevation

it: geodati modello-digitale-del-territorio altitudine elevazione

de: hoehenkurven

de: Höhenkurven

de: Dieser Datensatz beinhaltet die Höhenkurven im Kanton Thurgau mit einer Äquidistanz von 0.5m. Sie wurden unterteilt in Zählkurven 50m, Normalkurven 10m, Zwischnenkurven 5m, Zwischnenkurven 1m und Zwischenkurven 0.5m. Als Grundlage für die Berechnung der Höhenkurven diente das swissALTI3D, welches in den Jahren 2017 und 2018 über den Kanton Thurgau mittels LIDAR beflogen wurde. Bei der Berechnung wurden die Höhenkurven generalisiert und geglättet.

kanton-thurgau

it: Cantone di Turgovia


vernetzungskorridore

regi

en: Regions and cities

envi

de: Umwelt

title_for_slug: vernetzungskorridore

de: geodaten tierkorridor landschaftsschutz landschaftsschutz naturschutz umweltsubvention biotopverbund biotopvernetzung raumplanung landwirtschaft agrarmanagement landwirtschaftliche-bewirtschaftung landwirtschaftliche-nutzung landschaftspflege landschaftsokologie

en: geodata animal-corridor landscape-conservation landscape-conservation nature-conservation environmental-subsidy biotope-network biotope-network physical-planning agriculture agricultural-management agricultural-exploitation agricultural-exploitation landscape-conservation-policy landscape-ecology

it: geodati corridoio-faunistico conservazione-del-paesaggio conservazione-del-paesaggio conservazione-della-natura sovvenzione-per-lambiente reticolo-biologico rete-di-biotopi pianificazione-dello-spazio-fisico agricoltura gestione-agricola gestione-agricola sfruttamento-agricolo politica-di-conservazione-del-paesaggio ecologia-del-paesaggio

de: Vernetzungskorridore

de: ThurGIS Shop

de: Enthält die Vernetzungskorridore mit der Korridornummer, dem Namen, der Art und den geförderten BFF-Typen (Biodiversitätsförderflächen).

kanton-thurgau

fr: Canton de Thurgovie


schutzwald

agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

title_for_slug: schutzwald

fr: geodonnees reserve-forestiere protection-de-la-foret faune flore bois risque-naturel sylviculture risque-naturel sylviculture

de: geodaten waldschutzgebiet waldschutz fauna flora wald naturgefahr forstwirtschaft naturgefahr forstwirtschaft

en: geodata forest-reserve forest-protection fauna flora-biology wood natural-hazard forestry natural-hazard forestry

it: geodati riserve-forestali protezione-della-foresta fauna flora-biologia bosco pericoli-naturali forestazione pericoli-naturali forestazione

de: schutzwald

de: Schutzwald

de: Im Rahmen des BAFU-Projektes Silvaprotect ausgeschiedene Schutzwälder. Der Schutzwald schützt Menschen oder Sachwerte vor Steinschlag, Erosion, Rutschungen und Lawinen. Damit Schutzwälder diese Funktion erfüllen können, müssen sie entsprechend gepflegt werden. Damit ein Wald als Schutzwald ausgeschieden wird, braucht es eine Naturgefahr (Steinschlag, Lawinen, Rutschung, Erosion) die Menschen oder hohe Sachwerte (Wohnhäuser, Siedlungen, Infrastrukturanlagen) bedrohen. Kann der Wald eine Schutzwirkung gegen diese Gefahren erbringen, so wird er als Schutzwald ausgeschieden.

kanton-thurgau

de: Kanton Thurgau


okomorphologie-fliessgewasser

title_for_slug: okomorphologie-fliessgewasser

fr: geodonnees eau-courante eaux-geographie

de: geodaten fliessgewasser gewasser

en: geodata flowing-water water-geographic

it: geodati acque-lotiche acque-geografia

de: Ökomorphologie Fliessgewässer

de: Der Datensatz beinhaltet die Ökomorphologie der Fliessgewässer. Die Bewertung umfasst Abschnitte, Abstürze und Bauwerke.

kanton-thurgau

de: Der Kanton Thurgau veröffentlicht hier schrittweise OGD-Datensätze der kantonalen Verwaltung.


bewirtschaftungseinheit

regi

de: Regionen und Städte

title_for_slug: bewirtschaftungseinheit

fr: geodonnees gestion-agricole exploitation-agricole exploitation-agricole agriculture

de: geodaten agrarmanagement landwirtschaftliche-bewirtschaftung landwirtschaftliches-unternehmen landwirtschaft

en: geodata agricultural-management agricultural-exploitation agricultural-holding agriculture

it: geodati gestione-agricola gestione-agricola azienda-agricola agricoltura

de: Bewirtschaftungseinheit

de: Das Modell „Bewirtschaftungseinheit“ beschreibt, welche „Bewirtschaftungseinheiten“ von welchem Betrieb bewirtschaftet werden. Die Summe aller „Bewirtschaftungseinheiten“ eines Betriebes ergibt die Betriebsfläche.


strassenunterhaltsbezirke

tran

de: Verkehr

en: Transport

title_for_slug: strassenunterhaltsbezirke

fr: geodonnees entretien-routier

de: geodaten strassenunterhaltung

en: geodata road-maintenance

it: geodati manutenzione-stradale

de: Strassenunterhaltsbezirke

de: Unterhaltsbezirke, Grenzen entlang des Kantonsstrassennetzes. Darstellung der vier Werkhöfe und des Stützpunktes.

kanton-thurgau

en: Canton of Thurgau


kantonsstrassenachsen

regi

fr: Régions et villes

title_for_slug: kantonsstrassenachsen

fr: geodonnees itineraire route route itineraire-a-grande-circulation transport reseau-routier reseau-routier

de: geodaten fahrweg-streckenfuhrung strasse strasse verkehrsweg verkehr strassennetz strassennetz

en: geodata route road road traffic-route transport road-network road-network

it: geodati percorso strada strada strada-di-comunicazione trasporti rete-stradale rete-stradale

de: Kantonsstrassennetz

de: ThurGIS Shop

de: Kantonsstrassenachsen: klassifiziert in Haupt- und Nebenstrassen; Strassenachsen, Bezugspunkte (RBBS), Markierungen und Schilder gemäss VSS Norm.

de: Kantonsstrassenachsen


tran

it: Trasporti

fr: geodonnees statistiques trafic-routier itineraire route route transport transport transport

de: geodaten statistik strassenverkehr fahrweg-streckenfuhrung strasse strasse verkehr verkehr verkehr

en: geodata statistics road-traffic route road road transport transport transport

it: geodati statistica traffico-su-strada percorso strada strada trasporti trasporti trasporti

de: strassenverkehrszaehlung

de: Strassenverkehrszählung

de: Standorte der kantonalen und nationalen Messstellen. Aussergewöhnliche Zu- und Abnahmen sind hauptsächlich auf regionale Strassenbautätigkeiten und den damit verbundenen Ausweichverkehr zurückzuführen. Verkehrsdaten der kantonalen Messstellen durch Klicken auf den blauen Punkt im ThurGIS Viewer ersichtlich (PDF). Die Daten 2020, 2021 und 2022 wurden durch die Massnahmen gegen die Corona-Virus-Pandemie beeinflusst.

kanton-thurgau

de: Kanton Thurgau

de: Strassenverkehrszählung regionales und lokales Netz