herb-layer-biomass-in-swiss-forests

en: The purpose of this project was to develop a model to estimate herb layer biomass and carbon stock based on the categorical cover estimate on each NFI sample plot. To this end, biomass and cover of the six main plant groups in the herb layer were collected from 405 1x1 m subplots on 135 study sites (15 sites in 9 strata) which were selected based on a stratified sampling approach. To ensure consistency with NFI methodology, study sites corresponded to the design of regular NFI sample plots and plant cover was estimated by trained field-crew members. Based on the dry weight of the plant biomass and the cover estimate on each subplot, a linear regression model was developed and applied to estimate herb layer biomass on each NFI sample plot.

en: ferns herbs shrubs biomass national-forest-inventory grasses sedges

en: Herb layer biomass in Swiss forests

title_for_slug: herb-layer-biomass-in-swiss-forests

de:
Resource Title: Final Report
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    URL: https://www.envidat.ch/dataset/d92e9a5c-fc2f-4023-8f3a-b73cdf06ed9f/resource/4894a7f1-da38-4ecd-a259-f13cfed8d16b/download/finalreport_biomasse-kraut-und-strauchschicht.pdf
    Description: Final Report of the project submitted to the Swiss Federal Office for the Environment.

de:
Resource Title: Repeated samples
    Size: 13041 bytes
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    URL: https://www.envidat.ch/dataset/d92e9a5c-fc2f-4023-8f3a-b73cdf06ed9f/resource/b24f8638-f182-4a13-92ce-eb78e8a5001c/download/repeatedsamples_hlbiomass.xlsx
    Description: Data collected during re-sampling on sub-sample of sites

de:
Resource Title:
    Size: 16354 bytes
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    URL: https://www.envidat.ch/dataset/d92e9a5c-fc2f-4023-8f3a-b73cdf06ed9f/resource/3f97f6e7-838a-4c74-ab6e-3eecec1cf35a/download/cndata.xlsx
    Description: Measured C and N contens [%] of collected herb layer biomass samples.

de:
Resource Title: Collected herb layer data
    Size: 150656 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/d92e9a5c-fc2f-4023-8f3a-b73cdf06ed9f/resource/39c9c2d9-9229-45a9-8b68-d7bfde7aa1d6/download/basicdata_hlbiomass.xlsx
    Description: Table with primary data collected in the field

biomass

display_name: biomass

ferns

display_name: ferns

grasses

display_name: grasses

herbs

display_name: herbs

national-forest-inventory

display_name: national-forest-inventory

sedges

display_name: sedges

shrubs

display_name: shrubs


$oid: OBSOLETE

en:
Decomposition of plant litter is a key process for the transfer of carbon and nutrients in ecosystems. Carbon contained in the decaying biomass is released to the atmosphere as respired CO2, and may contribute to global warming. Litterbag studies have been used to improve our knowledge of the drivers of litter decomposition, but they lack comparability because litter quality is plant species-specific. The use of commercial tea bags as a standard substrate was suggested in order to harmonize studies, where green tea and rooibos represent more labile and more recalcitrant C compounds as surrogates of local litter.
The tea bag approach was implemented on eight sites of the Swiss long-term Forest Ecosystem Research (LWF) network (https://www.wsl.ch/LWF). This allowed us to take advantage from the existing infrastructure and data from a previous litterbag study with local litter. In Beatenberg and Schaenis, additional elevation transects were established (1200-1800 m and 540-1150 m, respectively) to examine particularly the effect of temperature on decomposition. In Pfynwald (https://www.wsl.ch/de/ueber-die-wsl/versuchsanlagen-und-labors/flaechen-im-wald/pfynwald.html) and Salgesch, infrastructure of running projects was used to examine the effect of drought and understory removal, respectively. In Novaggio, tea bags were incubated in summer and winter to study the effect of seasonality particularly precipitation. Tea bags are collected after 3, 12, 24, and 36 months; for the two time-shifted experiments additionally after 6 and 9 months.
The study has two primary objectives. Firstly, it contributes to TeaComposition initiative (http://teacomposition.org/) which aims at investigating long-term litter decomposition and its key drivers at present as well as under different future climate scenarios using a common protocol and standard litter (tea) across nine terrestrial biomes. Secondly, the data are used to further develop decomposition models such as Yasso (http://en.ilmatieteenlaitos.fi/yasso) which is used by several countries, including Switzerland to estimate the annual carbon fluxes in dead wood, litter, and soil for reporting in National Greenhouse Gas Inventories under the United Nations Framework Convention on Climate Change and the Kyoto Protocol.

en: verification decomposition green-tea tea-bag litter roiboos modeling carbon forest

envidat

approval_status: approved

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

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

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

en: LWF-Tea bag sites

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

format: CSV

carbon

display_name: carbon

decomposition

display_name: decomposition

forest

display_name: forest

green-tea

display_name: green-tea

litter

display_name: litter

modeling

display_name: modeling

roiboos

display_name: roiboos

tea-bag

display_name: tea-bag

verification

display_name: verification


en:
The dataset comprises - 90 000 records from inventories in 54 strict forest reserves in [Switzerland](https://www.wsl.ch/de/wald/biodiversitaet-naturschutz-urwald/naturwaldreservate.html) and [Lower Saxony / Germany](http://naturwaelder.de/) along a considerable environmental gradient. It was used to develop parsimonious, species-specific mortality models for 18 European tree species based on tree size and growth as well as additional covariates on stand structure and climate.
 Inventory data
Measurements had been conducted repeatedly on up to 14 permanent plots per reserve for up to 60 years with re-measurement intervals of 4 - 27 years. The permanent plots vary in size between 0.03 and 3.47 ha. The inventories provide diameter measurements at breast height (DBH) and information on the species and status (alive or dead) of trees with DBH ≥ 4 cm for Switzerland and ≥ 7 cm for Germany.
 Data selection
We excluded three permanent plots where at least 80 % of the trees died during an interval of 10 years, and mortality could be clearly assigned to a disturbance agent. Mortality in the remaining stands was rather low, with a mean annual mortality rate of 1.5 % and strong variation between plots from 0 to 6.5 % (assessed for trees of all species with DBH ≥ 7 cm).
We only used data from permanent plots with at least 20 trees per species to obtain reliable plot-level mortality rates even for species with low mortality rates (about 5 % during 10 years), and selected tree species occurring on at least 10 plots to cover sufficient ecological gradients. This led to a dataset of 197 permanent plots and 18 tree or shrub species: _Abies alba_ Mill., _Acer campestre_ L., _Acer pseudoplatanus_ L., _Alnus incana_ Moench., _Betula pendula_ Roth, _Carpinus betulus_ L., _Cornus mas_ L., _Corylus avellana_ L., _Fagus sylvatica_ L., _Fraxinus excelsior_ L., _Picea abies_ (L.) Karst, _Pinus mugo_ Turra, _Pinus sylvestris_ L., _Quercus pubescens_ Willd., _Quercus_ spp. (_Q. petraea_ Liebl. and _Q. robur_ L.; not properly differentiated in the Swiss inventories), _Sorbus aria_ Crantz, _Tilia cordata_ Mill. and _Ulmus glabra_ Huds..
 Predictors of tree mortality
We considered tree size and growth as key indicators for mortality risk. Radial stem growth between the first and second inventory and DBH at the second inventory were used to predict tree status (alive or dead) at the third inventory. To this end, the annual relative basal area increment (relBAI) was calculated as the compound annual growth rate of the trees basal area. Additional covariates on stand structure and climate comprise mean annual precipitation sum (P), mean annual air temperature (mT), the mean and the interquartile range of DBH (mDBH, iqrDBH), basal area (BA) and the number of trees (N) per hectare.
 Further information
For further information, refer to Hülsmann _et al_. (in press) How to kill a tree – Empirical mortality models for eighteen species and their performance in a dynamic forest model. _Ecological Applications_.

en: empirical-mortality-models tree-growth inventory-data forest-reserves tree-mortality

en: Calibration data for empirical mortality models of 18 European tree species

empirical-mortality-models

display_name: empirical-mortality-models

forest-reserves

display_name: forest-reserves

inventory-data

display_name: inventory-data

tree-growth

display_name: tree-growth

tree-mortality

display_name: tree-mortality


en:
This dataset contains eddy-covariance measurements in the ablation period of 2014-2016. Measurements were taken from two turbulence towers over a long-lasting snow patch, which are 5 m apart from each other (2014 and 2015). The turbulence towers were equipped with two YOUNG ultrasonic anemometers mounted 0.7 m (in 2014) and 3.3 m (in 2015) above snow-free ground, two ultrasonic anemometers (CSAT3, Campbell Scientific, Inc.) mounted at 2.6 m (in 2014) and 2.2 m (in 2015) above snow-free ground and one anemometer (DA-600, Kaijo Denki) mounted at 0.3 m above snow surface.
The measurement setup changed in 2016 and includes a measurement above the snow-free ground in upwind direction (Swiss coordinates: 790191/176689). The measurement tower is equipped with one ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 3.3 m above the snow-free ground. Additionally, one measurement tower is installed above the long-Lasting snow patch and equipped with the same setup as 2015.
Turbulence data were sampled at a frequency of 20 Hz. The processing of the data to quality controlled fluxes has been done with the Biomicrometeorology flux software (Thomas et al., 2009). The program applies plausibility tests and a despiking test after Vickers and Mahrt (1997) on the measured data. The routine further applies a time-lag correction and considers the deployment (e.g.  the sonic azimuth). A frequency response correction (Moore, 1986) is done and a three-dimensional rotation is performed. Finally, quality assurance/quality control (QA/QC) flags after Foken et al., (2004) are issued and fast Fourier transform power and co-spectra are calculated.  The change in snow height is considered in the post-processing for every measurement day. The turbulence data were averaged to 30 minute intervals.

en: eddy-covariance-measurements dischmex turbulent-sensible-heat-fluxes snow-patch patchy-snow-covers

en: DISCHMEX - Impact of extreme land-surface heterogeneity on micrometeorology over spring snow-cover

de:
Resource Title: S3 2015
    Size: 765677 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/9e551281-5120-4041-860e-8d2fc911c9dd/download/s3-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.2 m.

format: ZIP

media_type: application/zip

de:
Resource Title: S5 2015
    Size: 271399 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/d9037751-fbdf-438c-a1b0-03aa3301c065/download/s5-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (DA-600, Kaijo-Denki) in 0.3 m on a daily basis.

de:
Resource Title: S1 2014
    Size: 725025 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/486e31a9-78e2-4736-9cad-a40c0958662c/download/s1-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.6 m.

de:
Resource Title: S5 2016
    Size: 54602 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/43081c3a-5d6c-4f7c-9259-b221e82f9b61/download/s5-2016.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (DA-600, Kaijo-Denki) in 0.3 m on a daily basis.

de:
Resource Title: S1 2015
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/68c609d2-beb3-45b7-bbd4-cdf33de5f6e1/download/s1-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 3.3 m.

de:
Resource Title: S4 2014
    Size: 717473 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/60ca7742-4ab9-49f6-9318-3dac0c4ae4bd/download/s4-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 0.7 m.

de:
Resource Title: S4 2015
    Size: 764023 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/3e7cd0af-60cb-4026-8e8f-7c0736c45f5b/download/s4-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.2 m.

de:
Resource Title: S3 2014
    Size: 717361 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/96640b5b-18e4-4de4-b19b-d8be3fabe9a6/download/s3-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 0.7 m.

de:
Resource Title: S2 2015
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/81cb8412-b9bf-4ac8-a65b-7fdd0c597087/download/s2-2015.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 3.3 m.

de:
Resource Title: S5 2014
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/fb937402-fc94-4121-9d55-809664005628/download/s5-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (DA-600, Kaijo-Denki) in 0.3 m on a daily basis.

de:
Resource Title: S2 2014
    Size: 726971 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/25ce04fb-452c-439e-b1fe-8ef2ccb1ea4e/download/s2-2014.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific, Inc.) in 2.6 m.

de:
Resource Title: S2 2016
    Size: 571682 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/e78a7861-5a9d-458f-b66d-d180292f6840/download/s2-2016.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific Inc.) in 3.2 m on a daily basis.

de:
Resource Title: S1 2016
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/b5c85840-bf9f-4605-b4c7-9d05b00f2cdc/download/s1-2016.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (R.M. Young Company) in 3.5 m.

de:
Resource Title: S3 2016
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/7e8c6dac-80cf-49d7-bd85-2a61d3336e6f/resource/0425d29f-b2cd-4092-afe6-00ca6fbd2303/download/s3-2016.zip
    Description: Eddy-covariance measurement with an ultrasonic anemometer (CSAT3, Campbell Scientific Inc.) in 1.7 m on a daily basis.

de:
Resource Title: Gletschboden setup
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format: PNG

media_type: image/png

de:
Resource Title: Output explanation
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    Description:

format: XLS

dischmex

display_name: dischmex

eddy-covariance-measurements

display_name: eddy-covariance-measurements

patchy-snow-covers

display_name: patchy-snow-covers

snow-patch

display_name: snow-patch

turbulent-sensible-heat-fluxes

display_name: turbulent-sensible-heat-fluxes


en: Switzerland has a reliable and cost efficient energy system. Due to phase  out of nuclear energy it is necessary to find new options to maintain this powerful energy system. The Swiss energy strategy 2050 aims to reduce CO2-emissions, increase efficiency and promote renewable energies. The Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) examined relevant woody and non-woody biomass quantities (cubic meters, fresh-, dry weight) and their energy potentials (in Petajoules: primary energy and biomethane) with a similar methodological approach. The work was done within the frame of the Swiss Competence Centers for Energy Research (SCCER) especially in line with the SCCER Biomass for Swiss energy future (Biosweet). With a uniform and consistent approach for the current potentials ten biomass categories were estimated and aggregated for the whole of Switzerland. In this context solutions for the technical, social and political challenges are promoted. First, considering the different biomass resources characteristics and available data, appropriate methods at the finest scale possible were elaborated to estimate the annual quantities which could theoretically be collected (theoretical potential). Then, explicit and rational restrictions for sustainable bio-energy production were defined according to the current state of the art and subtracted from the theoretical potential to obtain the sustainable potential. The main restrictions are competing material utilizations, environmental factors and supply costs. Finally, the additional sustainable potential was estimated considering the current bioenergy production. Our main purpose was to provide potentials for developing conversion technologies as well as a detailed and comprehensive basis of the Swiss biomass potentials for energy use for economic and political decision makers. The complete report is available under https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A13277/datastream/PDF/view

en: bioenergy potential-assessment availability biomass-resources sustainability

envidat

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.

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Potentials of domestic biomass resources for the energy transition in Switzerland

envi

de: Umwelt

de:
Resource Title: Domestic Biomass Potential Theoretic Sustainable Absolute per Municipality
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    Description:

de:
Resource Title: Biomass Potentials Switzerland Cantons
    Size: 138287 bytes
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    URL: https://www.envidat.ch/dataset/21599a72-b714-4d11-a748-644d0016fae9/resource/65b8fe6d-81ee-4b05-ab8c-c46ece1d3d25/download/biomasspotentials_cantonal-level.xlsx
    Description:

de:
Resource Title: Agricultural Potential 2018 Municipalities 2022 with Monthly Repartition
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    URL: https://www.envidat.ch/dataset/21599a72-b714-4d11-a748-644d0016fae9/resource/dbb6ec20-05c8-4957-99ec-8aef86cb3f73/download/agricultural-potential_2018_municipalities2022_with_monthly-repartition.xls
    Description:

de:
Resource Title: Biomass Supply Costs
    Size: 194315 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/21599a72-b714-4d11-a748-644d0016fae9/resource/d20fa98a-3fcc-4ada-ab31-c302d0c26f9f/download/biomasssupplycost.docx
    Description:

de:
Resource Title: Sustainable Absolute 2014 per Month
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/21599a72-b714-4d11-a748-644d0016fae9/resource/edea557c-892d-439a-acab-c235fc099a11/download/sustainable_absolute_2014_per_month.xlsx
    Description:

de:
Resource Title: Biomass Potentials Switzerland
    Size: 10164033 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/21599a72-b714-4d11-a748-644d0016fae9/resource/67ecd9fa-b920-40b0-a5ed-6209360fa645/download/biomasspotentials_detailed_national-level.xlsx
    Description:

de:
Resource Title: Biomass Potential Switzerland Municipalities
    Size: 1145439 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/21599a72-b714-4d11-a748-644d0016fae9/resource/30bcdb8e-f0eb-4eb3-8d14-1456a416255d/download/domestic_biomass_potential_theoretic_sustainable_absolute-per-municipality.xlsx
    Description: Domestic biomass potential based on 2014 data at the municipality level for the theoretical and sustainable potential for 10 types of biomass.

de:
Resource Title: Theoretical Absolute 2014 per Month
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/21599a72-b714-4d11-a748-644d0016fae9/resource/5618198b-874c-4157-ab2d-44d0060d7adb/download/theoretical_absolute_2014_per_month.xlsx
    Description:

availability

display_name: availability

bioenergy

display_name: bioenergy

biomass-resources

display_name: biomass-resources

potential-assessment

display_name: potential-assessment

sustainability

display_name: sustainability


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

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

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

de:
Resource Title: Long-term Irrigation	Experiment Pfynwald homepage
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    URL: https://www.wsl.ch/en/about-wsl/instrumented-field-sites-and-laboratories/experimental-sites-in-forests/pfynwald.html
    Description:

format: HTML

media_type: text/html

de:
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format: jpeg

de:
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    Description:

de:
Resource Title: Shapefile	of measurement location
    Size: 0
    Format: No Info
    URL: https://map.geo.admin.ch/?topic=swisstopo&X=127951&Y=613350&zoom=11&lang=de&bgLay er=ch.swisstopo.pixelkarte-farbe&crosshair=marker
    Description:

de:
Resource Title: Site photo 3
    Size: 8186031 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/0e18a914-f2e4-47df-a86c-a44a1b0055e4/resource/e3c46133-0b7c-4d9c-a3d0-ba0e91e663b5/download/20150709pfyn218.jpg
    Description:

de:
Resource Title: Swiss Forest Health Inventory
    Size: 1 bytes
    Format: text/html
    URL: https://www.wsl.ch/en/forest/forest-development-and-monitoring/sanasilva-forest-health-inventory.html
    Description:

de:
Resource Title: Dataset
    Size: 1898851 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/0e18a914-f2e4-47df-a86c-a44a1b0055e4/resource/81280262-3628-458c-8dbf-33ed80eb222a/download/envidatpfyncrowncond2016.xlsx
    Description:

crown-condition

display_name: crown-condition

dbh

display_name: dbh

diameter-at-breast-height

display_name: diameter-at-breast-height

drought

display_name: drought

forest

display_name: forest

irrigation

display_name: irrigation

lwf

display_name: lwf

scots-pine

display_name: scots-pine

swiss-forest-lab

display_name: swiss-forest-lab

tree

display_name: tree

tree-species

display_name: tree-species


en:
Rufiberg is a pre-alpine meadow site in Switzerland where shallow landslides have been observed after past intense rain storms. In order to assess the triggering mechanisms of these landslides, a comprehensive investigation was conducted within the project TRAMM from Nov 2009 to Oct 2012. It included meteorological observations, soil moisture measurements, bedrock groundwater measurements. The Rufiberg is located at the NW side of the Gnipen to the north of the village Arth-Goldau in the Canton of Schwyz. In the summer months, the site is used for pasturing. Usually, from December to March a snow cover is present at the Rufiberg. The site is at an altitude between 1080 – 1180 m asl, is ENE oriented, and has an average slope of 30 -35°. The Subalpine Molasse in the region is inclined with 30 - 35° to SE. In the area of the field site, beds of conglomerate with several m of thickness alter with beds of sandstone and marlstone. A ca. 2 – 5 m thick eluvium/colluvium layer composed of silty and sandy clay covers the bedrock. This site has been chosen because on one hand, during heavy rainfall events, e.g. autumn 2005, numerous landslides occur in the region of the Gnipen and the Rufiberg. On the other hand, the Rufiberg is very appropriate for experiments due its location away from infrastructures and due to its accessibility. The goal of the investigation was to understand the hydrology and hydrogeology of the slope with regard to shallow landslides.
More information: Brönnimann, C., Stähli, M., Schneider, P., Seward, L. and Springman, S.M. 2013. Bedrock exfiltration as a triggering mechanism for shallow landslides. Water Resources Research, 49 (9): 5155–5167. DOI: 10.1002/wrcr.20386.

en: water-table landslides hydrology soil-moisture-water-content meadow

envidat

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.

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: TRAMM project - experimental hydrological and hydrogeological dataset of a landslide prone hillslope. Rufiberg, Switzerland

de:
Resource Title: Data Lateral subsurface water flow.xlsm
    Size: 2033894 bytes
    Format: application/vnd.ms-excel.sheet.macroEnabled.12
    URL: https://www.envidat.ch/dataset/5333838f-5da6-4574-8d28-ce1794c19631/resource/251578d0-3df2-44ed-9090-613a678bdbf8/download/data-lateral-subsurface-water-flow.xlsm
    Description:

de:
Resource Title: Data Groundwater level in Bedrock.xlsx
    Size: 939397 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5333838f-5da6-4574-8d28-ce1794c19631/resource/0e09242b-0222-4b90-b247-4fa2c34bb8ca/download/data-groundwater-level-in-bedrock.xlsx
    Description: We drilled six boreholes in two clusters. The boreholes reached a depth between 2 and 9 m below the ground surface. The lower half of boreholes BH1 and BH6 were cored with a 9 cm-diameter rotational diamond drilling head. The other boreholes were drilled destructively with an 11 cm-diameter Mitsubishi hammer system. Boreholes BH1, BH2 and BH5 were equipped with open standpipe piezometers, whereas BH3, BH4 and BH6 were equipped with a special piezometer system composed of an enclosed measuring cell at the bottom of a 1 inch-PVC tube. The free groundwater level in the PVC tube is measured in the standpipe piezometer, but it doesn’t necessarily represent the water table in the soil layer because the pressure sensor is located in the sealed lower part of the piezometer in the enclosed measuring cell and thus is not in contact with the air. This system allows the hydraulic pressure of lithologies with low permeability to be measured directly. Two piezometers were installed in BH6 at different depths. The PVC tubes were slotted at the bottom for 0.5, 1 or 2 meters and the boreholes were sealed carefully with clay pellets above this filter section to avoid by-pass and infiltration from the surface. DCX-22 pressure sensors from Keller AG Winterthur, with integrated data loggers, were installed in each piezometer to measure the relative hydraulic pressure at a 30 minute-intervals from November 2010 to November 2011. The data were corrected for in-situ air-pressure fluctuations.

de:
Resource Title: Data Soil water content TDR.xlsm
    Size: 7866407 bytes
    Format: application/vnd.ms-excel.sheet.macroEnabled.12
    URL: https://www.envidat.ch/dataset/5333838f-5da6-4574-8d28-ce1794c19631/resource/fd31a45e-e5d0-476e-9a45-611f4d572d93/download/data-soil-water-content-tdr.xlsm
    Description: Four test pits were excavated in summer 2010 along the slope to install vertical profiles of Time Domain Reflectometry sensors [Topp et al., 1980] to measure soil water content at depths of 0.25 m, 0.7 m, 1.1 m and 1.5 m. The 15 cm long TDR rods were inserted horizontally into the vertical walls of the pits, and the four pits were carefully refilled with the excavated soil. The water content was recorded from summer 2010 to fall 2011 at 10-minute time intervals using a Campbell TDR 100 system.

de:
Resource Title: Data Groundwater level in Soil.xlsx
    Size: 5593516 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5333838f-5da6-4574-8d28-ce1794c19631/resource/720b044d-3ee5-4104-ba45-4b5b8ee7bf3e/download/data-groundwater-level-in-soil.xlsx
    Description:

hydrology

display_name: hydrology

landslides

display_name: landslides

meadow

display_name: meadow

soil-moisture-water-content

display_name: soil-moisture-water-content

water-table

display_name: water-table


full-content-of-wsl-fauna-database

en: Complete extract of Fauna Database of WSL, containing all projects and all taxa. Meant as exchange and citation platform for sharing the data with the national data centre 'Centre Suisse de la Cartographie de la Fauna (CSCF)', and Info Fauna.

en: arthropods database invertebarates collections wsl

envidat

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

en: EnviDat: the Environmental Data Portal

en: Full content of WSL Fauna Database

title_for_slug: full-content-of-wsl-fauna-database

envi

de: Umwelt

de:
Resource Title: FIDO_global_extract 2023-03-08_16-27-28 WSL-AllData-AllTaxa.sql.zip
    Size: 3662 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/8c409314-8cc5-45de-81a0-a5076c8219ab/resource/9c2db111-e28e-4b6e-84eb-905029533eaf/download/fido_global_extract-2023-03-08_16-27-28-wsl-alldata-alltaxa.sql.zip
    Description: Query executed to retrieve the complete dataset from WSL Fauna Database
FIDO_global_extract 2023-03-08_16-27-28 WSL-AllData-AllTaxa.sql compressed in zip-archive

de:
Resource Title: FIDO_global_extract 2023-03-08_16-27-28 WSL-AllData-AllTaxa.csv
    Size: 346030081 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8c409314-8cc5-45de-81a0-a5076c8219ab/resource/f0900bd4-d997-4328-b813-e69794203edb/download/fido_global_extract-2023-03-08_16-27-28-wsl-alldata-alltaxa.csv
    Description: Complete dataset of all projects and data collected in WSL Fauna Database

media_type: text/csv

de:
Resource Title: FIDO_global_extract 2023-04-17_17-00-48-WSL-AllData-AllTaxa
    Size: 474860156 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8c409314-8cc5-45de-81a0-a5076c8219ab/resource/e696663c-7879-4754-acc4-f7d72a73dc6e/download/fido_global_extract-2023-04-17_17-00-48-wsl-alldata-alltaxa.csv
    Description: Updated export with semicolon-delimited columns instead of comma delimited

arthropods

display_name: arthropods

collections

display_name: collections

database

display_name: database

invertebarates

display_name: invertebarates

wsl

display_name: wsl


en:
The dataset consists of the standardized precipitation (SPI) and the standardized precipitation evapotranspiration index (SPEI) index with a 30 arcsec (~1km) horizontal resolution.
Data for precipitation rates (pr) and potential evapotranspiration (pet) are taken from CHELSA V2.1 (https://doi.org/10.16904/envidat.228.v2.1). Both data sets are monthly time series from 1980 to 2018 at 30 arcsec. and have the unit of kg m-2 month-1. SPEI is a more reliable measure of drought than SPI as it additionally considers the effect of potential evapotranspiration. Potential evapotranspiration (pet) is the amount of water per area per time that can evaporate at the soil surface or be transpired by plants in absence of water supply limitations. SPEI effectively estimates for a given location how the climatic water balance, i.e., the difference between precipitation rate (pr) and potential evapotranspiration (pet), relates to the long-term mean. Here, pet was calculated with the Penman-Montheith approach, assuming surface conductance of a reference crop of 12 cm height following the definition of the Food and Agriculture Organization of the United Nations (FAO), originating from CHELSA-BIOCLIM+ database (https://www.doi.org/10.16904/envidat.332). To obtain global time series of SPEI, in each pixel the frequency distribution of water balance estimates (pr-pet) is approximated with a log-logistic probability distribution function. We calculate monthly SPEI using a 12-month memory and approximate the parameters of the log-logistic probability distribution based on the time series from 1980-2018. Such a 12-month time window is suitable to capture long-term drought events that are long enough to impose substantial impacts on agriculture, hydrology, and ecosystems while ones at shorter time scales would be more appropriate to detect short-term drought. For each month, SPEI is calculated considering the respective water-balance value and the values of the eleven preceding months. Here we use SPEI-12 in December to represent the overall water-balance condition of the respective year. The resulting SPEI data has a horizontal resolution of 130 arcsec (~1km). The calculation of SPI and SPEI is done in R with the package SPEI (https://www.doi.org/10.32614/CRAN.package.SPEI).

en: drought extreme-events multi-year-drought precipitation megadrought chelsa potential-evapotranspiration

en: High resolution global standardized drought indices

envi

en: Environment

de:
Resource Title: Multiyear meteorological droughts (MYMD) statistics - Description
    Size: 1114 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/a32ef5b4-fab9-4d15-b6da-c8244029027d/download/mymd_stats_description.csv
    Description: Description of column names, and units of the fields contained in the dataset "Multiyear meteorological droughts (MYMD) statistics".

de:
Resource Title: Multiyear meteorological droughts (MYMD10) statistics - Description
    Size: 1384 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/c1c0dbc9-ec96-462e-bf62-bc90b6aad3ab/download/mymd10_stats_description.csv
    Description: Description of column names, and units of the fields contained in the dataset "Multiyear meteorological droughts (MYMD10) statistics".

de:
Resource Title: Kernel Normalized Difference Vegetation Index Anomaly (QKNDVI)
    Size: 6710886 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fannual%2Fqkndvi%2F
    Description: Global annual layers of the the kernel normalized difference vegetation index anomaly (qkndvi) at a 1/12° (~10km) spatial resolution.

de:
Resource Title: Standardised Precipitation Evapotranspiration Index (SPEI)
    Size: 209715200 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fmonthly%2Fspei%2F
    Description: Global monthly layers of the Standardized Precipitation Evapotranspiration Index (SPEI) a 30 arcsec (~1km) spatial resolution

de:
Resource Title: Multiyear meteorological droughts (MYMD10) statistics
    Size: 928956 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/fa3d92e1-1eb0-478c-900d-dca818e3b4ff/download/mymd10_stats.csv
    Description: Multiyear meteorological droughts (MYMD10) statistics

Statistics of the multiyear meteorological droughts, containing the ID, duration, area, and empirical ranking of the droughts, and the anomalies in kNDVI

de:
Resource Title: CHELSA-drought-indices Technical Documentation
    Size: 335096 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/a4ec699c-1e4a-45ab-8b7c-ccdf09c6e828/download/chelsa_file_specification_drought_indicies.pdf
    Description: Technical documentation document including the variable names, units, scaling, offset, and background.

format: PDF

media_type: application/pdf

de:
Resource Title: Multiyear meteorological droughts (MYMD10)
    Size: 107930 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fannual%2Fmymd10%2F
    Description: Global annual layers of the multiyear meteorological droughts (MYMD) at a 1/12° (~10km) spatial resolution

de:
Resource Title: Multiyear meteorological droughts (MYMD)
    Size: 368640 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fannual%2Fmymd%2F
    Description: Global annual layers of the multiyear meteorological droughts (MYMD) at a 1/24° (~5km) spatial resolution

de:
Resource Title: Standardized Precipitation Index (SPI)
    Size: 209715200 bytes
    Format: No Info
    URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.unil.cloud.switch.ch%2Fchelsa02%2F&prefix=chelsa%2Fglobal%2Fmonthly%2Fspi%2F
    Description: Global monthly layers of the Standardized Precipitation Index (SPI) a 30 arcsec (~1km) spatial resolution

de:
Resource Title: Multiyear meteorological droughts (MYMD) statistics
    Size: 785961 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/21046cb1-0a1c-4890-8025-aefb5d9f3f1d/download/mymd_stats.csv
    Description: Statistics of the multiyear meteorological droughts, containing the ID, duration, area, and empirical ranking of the droughts.

de:
Resource Title: CHELSA-drought-indices Technical Documentation
    Size: 257611 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/8670a317-ca6b-4bce-9191-428e2827184e/resource/3149a573-b55c-499c-9efa-2cbe920bc483/download/chelsa_file_specification_drought_indicies.pdf
    Description: Technical documentation document including the variable names, units, scaling, offset, and background.

chelsa

display_name: chelsa

drought

display_name: drought

extreme-events

display_name: extreme-events

megadrought

display_name: megadrought

multi-year-drought

display_name: multi-year-drought

potential-evapotranspiration

display_name: potential-evapotranspiration

precipitation

display_name: precipitation


en:
The global biodiversity crisis driven by anthropogenic pressures significantly threatens marine ecosystems functioning. The rate of climate change and the impacts of anthropogenic pressures outpacing the capabilities of our observation tools, stresses the need to develop new methods to assess these rapid modifications. Environmental DNA (eDNA; DNA traces released by organisms) metabarcoding has emerged as a non-invasive method that has been widely developed over the last decade.  Thanks to a large spatio-temporal coverage,  high detection of rare species and its time and cost effectiveness, eDNA metabarcoding represents a promising biomonitoring tool. However, capturing fish diversity using eDNA requires a high-quality genetic reference database, which we are currently still lacking. For the South European Atlantic shelf area, we estimated that only 41% of the fish species present were recorded in the available eDNA reference databases. Improving reference databases can notably rely on opportunistic sampling enabling the reporting of sequences for new species. Therefore, the data provided here consists of barcoding 95 species of ray-finned and cartilaginous fishes over the 12S mitochondrial DNA gene. We generated 168 12S barcodes from fishes that were sampled in the Bay of Biscay (Northeast Atlantic, France) between 2017 and 2019. We also provided the “Teleo” barcode associated with a specific 12S region for each individual. In addition to the sequences, we provided for each individual the taxonomy, the details associated with the barcode (Genbank accession number, chromatograms), a photograph, as well as 5 ecomorphological measures and 11 life-history traits. These traits document several functions such as dispersion, diet, habitat use, and position in the food web. Furthermore, we provided the metadata of each sampling site (date, station, sampling hour, gear, latitude, longitude, depth) and environmental variables measured in situ (conductivity, salinity, water temperature, water density, air temperature).
This data set is highly valuable to improve the Northeast Atlantic eDNA genetic database, thus helping to better understand the effects of environmental forcing in the Bay of Biscay, a transition zone housing mixed assemblages of boreal, temperate and subtropical fish species susceptible to display variability in functional traits to adapt to changing conditions.

en: barcoding atlantic-ocean actinopterygii teleo-primers environmental-dna mitochondrial-dna 12s

envidat

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.

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: ATLFISHREF A 12S mitochondrial reference dataset for metabarcoding Atlantic Fishes frequently caught during scientific surveys in the Bay of Biscay

de:
Resource Title: Sequences_Info_&_Functional_Traits_Fish_BoB.csv
    Size: 36388 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/99fe96a8-79b9-4645-9fc1-0582de470b42/download/sequences_info__functional_traits_fish_bob.csv
    Description: This file contains the metadata associated with each 12 s mitochondrial sequence.

de:
Resource Title: ATL_FISHREF_12S_mitochondrial_tree_156sequences.pdf
    Size: 983790 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/1833a744-7ab8-4a2b-ba58-eabbc7dc671f/download/atl_fishref_12s_mitochondrial_tree_156.pdf
    Description: Mitochondrial tree based on the 12s sequences obtained for altantic fish.
This data represent the maximum likelihood phylogenetic tree allowing to assess 1) the clustering of the different sequences generated in
this study and their closest sequences recovered through a MegaBLAST on GenBank, 2) the robustness of the clades and 3) the
phylogenetic dissimilarities through the branch length of the tree among the different sequences. This tree was built with IQtree2
using the best substitution model found by modelFinder. The robustness of the node was evaluated using 1000 ultra-fast bootstrap
(node information indicated on the right of the /) and SH-aLRT procedures (node information indicated on the left of the /), using a hillclimbing nearest neighbor interchange (NNI) search to reduce the risk of overestimating branch supports with ultra-fast Bootstrap
caused by too severe model violations.

de:
Resource Title: ATL_FISHREF_12S_mitochondrial_sequences.fasta
    Size: 119690 bytes
    Format: text/x-fasta
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/240862cf-df17-4390-9a12-64ed43b8a0bc/download/atl_fishref_12s_mitochondrial_sequences.fasta
    Description: This file contains the 12s mitochondrial sequences for the Atlantic fishes collected on a French scientific survey (Evhoe) for stock assessment.

de:
Resource Title: ATL_FISHREF_Teleo_barcode.fasta
    Size: 17598 bytes
    Format: text/x-fasta
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/d61fa932-931b-43cb-8bc4-62ee54d54874/download/atl_fishref_teleo_barcode.fasta
    Description: This file contains the Teleo Barcode for the Atlantic fishes collected during a French scientific survey (Evhoe) for stock assessment.

de:
Resource Title: Metadata_EVHOE_2017_2018_2019.csv
    Size: 25259 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/ec48f037-0cc7-444e-a73a-15383a2e6d0b/download/metadata_evhoe_2017_2018_2019.csv
    Description: This file contains the metadata associated with each scientific survey

de:
Resource Title: ATL_FISHREF_chromatograms_&_pictures.zip
    Size: 1481604020 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/1d2d5111-0c08-4549-b238-1345c550d580/resource/06c3ab11-43b8-4983-943d-e851cfd275bc/download/atl_fishref_chromatograms__pictures_updated_29-08-24-1.zip
    Description:

actinopterygii

display_name: actinopterygii

atlantic-ocean

display_name: atlantic-ocean

barcoding

display_name: barcoding

environmental-dna

display_name: environmental-dna

mitochondrial-dna

display_name: mitochondrial-dna

teleo-primers

display_name: teleo-primers


en: Data include SOC stocks at 556 old-growth Swiss forest sites from the Swiss forest soil inventory including environmental variables (elevation, mean annual precipitation, mean annual temperature, net primary production from MODIS, soil properties, forest types, measured SOC stocks (organic layers and mineral soil up to 100 cm depth) and stocks simulated by the Yasso20-model.

en: forest-topsoil som-storage soil-organic-carbon soil-carbon-model soil-chemistry

en: Soil organic carbon drivers in the Swiss forest soil inventory

envi

de: Umwelt

forest-topsoil

display_name: forest-topsoil

soil-carbon-model

display_name: soil-carbon-model

soil-chemistry

display_name: soil-chemistry

soil-organic-carbon

display_name: soil-organic-carbon

som-storage

display_name: som-storage


en: The dataset contains time series of water levels, precipitation measured in the two sub-catchments of the Erlenbach catchment and its vicinity during summer and autumn 2021, as well as flowing drainage network lengths calculated for these areas using the CEASE method developed by the authors. Detailed description of the dataset is provided in the documentation.

en: data drainage drainage-network dynamics catchment-data catchment water-level erlenbach precipitation dataset channel

en: Short-term Drainage Density Dynamics Dataset for the Erlenbach Catchment

de:
Resource Title: short-term_drainage_density_dynamics_dataset.csv
    Size: 22884800 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/b0b19958-af5e-49bf-8ab1-b10191d7d950/download/short-term_drainage_density_dynamics_dataset.csv
    Description:

de:
Resource Title:  short-term_drainage_density_dynamics_dataset_documentation.pdf
    Size: 3718100 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/37aaedcc-8217-4229-9bf3-49fe7e06d925/download/short-term_drainage_density_dynamics_dataset_documentation.pdf
    Description:

de:
Resource Title: short-term_drainage_density_dynamics_dataset_documentation.docx
    Size: 1135026 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/509baa5e-b955-4bb9-a928-80fbccc0f610/resource/a90d31fa-4d8e-4bf1-a650-3c0f8ce12ae4/download/short-term_drainage_density_dynamics_dataset_documentation.docx
    Description:

catchment

display_name: catchment

catchment-data

display_name: catchment-data

channel

display_name: channel

data

display_name: data

dataset

display_name: dataset

drainage

display_name: drainage

drainage-network

display_name: drainage-network

dynamics

display_name: dynamics

erlenbach

display_name: erlenbach

water-level

display_name: water-level


en: Data and code for the publication entitled "Large Eddy Simulation of Near-Surface Boundary Layer Flow over Patchy Snow". The dataset contains variables about the simulation ("constant_and_system.zip" covering files for the simulation setup and "LES_cut_yNormal_every_8th_timestep.nc" the simulation output). Furthermore, the dataset covers eddy covariance data at multiple heights that is used for comparison and validation in the publication.

en: heat-exchange eddy-covariance-measurements patchy-snow large-eddy-simulation atmosphere

en: Large Eddy Simulation of Near-Surface Boundary Layer Dynamics over Patchy Snow

de:
Resource Title: ect2_0_9m.nc
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    URL: https://www.envidat.ch/dataset/3189403b-73f7-4a31-a617-c2e386413e2e/resource/f6aff78c-c606-4a5b-9f1a-f0e591bf7c7c/download/ect2_0_9m.nc
    Description: Eddy-covariance data at the ECT2 at a height of 0.9m above the surface. Sensor: Campbell Scientific IRGASON

de:
Resource Title: constant_and_system.zip
    Size: 1002786643 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/3189403b-73f7-4a31-a617-c2e386413e2e/resource/6d6fc5be-becc-4341-b47e-173991df7bb5/download/constant_and_system.zip
    Description: Namelists, mesh, and forcing data to run the OpenFoam simulations

de:
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    Description: slice through the LES simulation domain along the flow (normal to y-direction). The netCDF-file contains data from every 8th simulation time step for all cells in the slice

de:
Resource Title: 0.zip
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/3189403b-73f7-4a31-a617-c2e386413e2e/resource/8b17d2f1-9302-4dc3-9612-09b8a3af2f56/download/0.zip
    Description: Namelists for the OpenFOAM simulation containing the boundary conditions

de:
Resource Title: ect2_slow_data.nc
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    URL: https://www.envidat.ch/dataset/3189403b-73f7-4a31-a617-c2e386413e2e/resource/e7e0071c-ffef-486c-b4e3-04181b815a2c/download/ect2_slow_data.nc
    Description: slow data (every 5s) from the ECT2. Interesting for this study is the air temperature recorded with a ventilated thermometer

de:
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    URL: https://www.envidat.ch/dataset/3189403b-73f7-4a31-a617-c2e386413e2e/resource/9e8a4cc3-601d-492b-88d5-9e19acd1e8ea/download/irdata_03_to_05.nc
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de:
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    URL: https://www.envidat.ch/dataset/3189403b-73f7-4a31-a617-c2e386413e2e/resource/d95d1854-ba11-4073-a263-1a927bd95b55/download/aws.csv
    Description: Data from the automatic weather station. Record interval 10min

de:
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    Description: Eddy-covariance data from the ECT2 at a height of 1.9m above the surface. Sensor: Campbell Scientific CSAT3B

de:
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    Format: application/x-netcdf
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    Description: Eddy-covariance data from the ECT1 at a height of 1.2m above the surface. Sensor: Campbell Scientific IRGASON

de:
Resource Title: les_namelists.zip
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    Format: application/zip
    URL: https://www.envidat.ch/dataset/3189403b-73f7-4a31-a617-c2e386413e2e/resource/329d415f-a54d-4710-94d1-6af2cb6ed088/download/les_namelists.zip
    Description:

de:
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    Description: Eddy-covariance data recorded at the ECT2 at 2.9m above the surface. Sensor: Campbell Scientific CSAT3B

atmosphere

display_name: atmosphere

eddy-covariance-measurements

display_name: eddy-covariance-measurements

heat-exchange

display_name: heat-exchange

large-eddy-simulation

display_name: large-eddy-simulation

patchy-snow

display_name: patchy-snow


en:
In the canton of Aargau, hundreds of new ponds have been constructed since the 1990s to benefit declining amphibian populations. This dataset consists of monitoring data for all 12 pond-breeding amphibian species in the canton of Aargau from 1999 to 2019 in 856 ponds, and environmental variables that describe the ponds and the landscape surrounding the ponds. Species observation data is detection/non-detection data from repeat visits during survey years, during which all potentially suitable ponds in an area were surveyed. Environmental variables describing the ponds are whether the pond has been newly constructed since 1991 or not, pond age (if constructed), elevation a.s.l., the water surface area, and whether the water table fluctuates or not. Environmental variables describing the surroundings of the ponds are the percent area of forest within a circular buffer of radius 100m around the pond, the area of large (width ≥6m) roads within a circular buffer of radius 1km around the pond, as well as structural and potential population connectivity, quantified by three different metrics each.
The canton of Aargau is the owner of the monitoring data; the original datafile is only disclosed upon request and in consultation with the canton of Aargau.
The edited dataset contains cleaned observation data for the 12 amphibian species, as well as compiled and edited covariate data and code to fit dynamic occupancy models.

en: landscape amphibians connectivity conservation occupancy-models wetlands

envidat

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

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.

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

de: EnviDat

en: Amphibian observation and pond data (Aargau, Switzerland)

de:
Resource Title: Model code, description
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    Format: text/html
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/b2249e83-4901-4c47-b5b2-736cebf97147/download/runmodels1.html
    Description: This is the output of the R markdown file that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the associated publication, for a quick overview.

de:
Resource Title: Potential population connectivity data
    Size: 28849564 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/6b907363-02d8-4cfa-8b0f-36ab945866f8/download/covdata_popconn.csv
    Description: This file contains potential population connectivity data (three different metrics), calculated based on all existing and occupied ponds in each year, for each species, in long format. See Readme v2.0 for details. Required to run Model code 2.

de:
Resource Title: Readme, v 2.0
    Size: 312052 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/c31abb8b-f5ab-492c-b0fa-2e8c85afe5f6/download/datadescriptionenvidat2.pdf
    Description: Description of methods and datasets. Version 2.0, including new datasets fro structural and potential population connectivity.

de:
Resource Title: Covariate data 1
    Size: 57933 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/3c9f85f8-6c9b-4532-9038-b027927b1aac/download/covdata1.csv
    Description: This file contains covariate data that does not change over time for 856 ponds: the region the pond is in, whether the pond is old or new (constructed since 1991), elevation, water surface area, fluctuations of the water table (yes, no), the percent forest cover in 100m radius around the pond, the area or large (>6m wide) roads in 1km radius around the pond.

de:
Resource Title: Original raw data
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    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/c233605d-0a83-437f-9704-31c126a1c318/download/a_auszug-karch-einzelbeob_oz_4-v4-ab99.xlsx
    Description: This file contains the original raw monitoring data as provided by the canton of Aargau. Access is restricted and only considered upon request and in consultation with the canton of Aargau.

de:
Resource Title: Model code 2, description
    Size: 674645 bytes
    Format: text/html
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/57fded43-4f8c-426b-bac1-11ccca42146f/download/runmodels2.html
    Description: This is the output of the R markdown file Model code 2 that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the second associated publication, for a quick overview.

de:
Resource Title: Readme
    Size: 277486 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/2108eb1a-f11f-4c9f-85f1-a21cdae52185/download/datadescriptionenvidat.pdf
    Description: Description of methods and datasets. Version 1.

de:
Resource Title: Structural connectivity data
    Size: 2351634 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/643685b3-940c-44ff-a703-dfd01f6496da/download/covdata_structconn.csv
    Description: This file contains structural connectivity data (three different metrics), calculated based on all existing ponds in each year, in long format. See Readme v2.0 for details. Required to run Model code 2.

de:
Resource Title: Covariate data 2
    Size: 486115 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/e16a1c32-0953-44d3-bcf4-835b6ac9b0ac/download/covdata2.csv
    Description: This file contains covariate data that changes over time for 856 ponds in 21 years (long format): whether or not a pond exists in year _t_, the age of constructed ponds in year _t_, structural connectivity of the pond in year _t_.

de:
Resource Title: Model code
    Size: 37899 bytes
    Format: text/x-rmarkdown
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/d80d4a9f-40a0-473a-bd90-1ecb1a4a0c84/download/runmodels1.rmd
    Description: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the associated publication, including JAGS code for the fitted models.

de:
Resource Title: Model code 2
    Size: 46506 bytes
    Format: application/octet-stream
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/27deb8d2-b414-4331-92f0-f988f1979516/download/runmodels2.rmd
    Description: This R markdown file contains all code and descriptions necessary to load and format the provided data and to fit the dynamic occupancy models described in the second associated publication, including JAGS code for the fitted models.

format: OCTET

de:
Resource Title: Observation data
    Size: 2742709 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f6bfbf55-bf8d-4602-bff6-47ee277e9b7f/resource/2bfcece3-c25b-4dd9-a059-1b60f8d1c738/download/obsdata.csv
    Description: This file contains detection/non-detection data for the 12 amphibian species between 1999 and 2019 for 3 annual visits. Detectable denotes whether or not a visit j was made to pond i in year t. ObservedID gives a unique ID for the observer collecting the data during visit j to pond i in year t.

amphibians

display_name: amphibians

connectivity

display_name: connectivity

conservation

display_name: conservation

landscape

display_name: landscape

occupancy-models

display_name: occupancy-models

wetlands

display_name: wetlands


en:
This data was collected at Mizuho Station (44.315°E, 70.71°S, 2230 m a.s.l.), East Antarctica, from **30 September to 22 November 2000** during the 41st Japanese Antarctic research expedition. Vertical profiles of the horizontal mass flux and particle number size distribution of drifting and blowing snow were measured in the lowest 10 m of the atmosphere using four **snow particle counters** (SPCs). Three 3-dimensional **ultrasonic anemometers** were deployed in the lowest 25 m of the atmosphere to record the wind velocity components and sonic temperature at a high frequency of 100 Hz. Additionally, an **automatic weather station** provided air temperature, relative humidity, air pressure, shortwave and longwave downward and upward radiation fluxes, surface temperature, snow temperatures at depths of 0.1 and 0.4 m below the surface, wind speed, and wind direction. The data is complemented by **weather observations** performed twice to eleven times per day by the Japanese Meteorological Agency.
Most of the time, the lowest SPC was situated at a height of 0.05 or 0.1 m above the snow surface. During certain periods called profile runs, the height of the lowest SPC was systematically varied between 0.02 and 0.2 m to increase the vertical resolution of the measured profiles. The other SPC's were installed at fixed heights of 1.1, 3.1, and 9.6 m. During each profile run, the lowest SPC was kept at a specific height for approximately 10 min before changing the height. If the wind speed remained approximately constant throughout a profile run, the data was used to compute the average snow-transport profile in that period. In total, 24 of such average profiles were obtained. A part of these SPC measurements are discussed in Nishimura and Nemoto (2005).
The ultrasonic anemometers were placed at heights of 0.3, 1, and 25 m. However, the height of the lowest ultrasonic anemometer was changed several times in the measurement period and ranged from 0.05 to 0.32 m. On top of that, 19 short periods (each lasting 15 to 160 min) were used to systematically vary the height of the lowest ultrasonic anemometer and thus increase the vertical resolution of the measured wind speed profile. Occasionally, drifting and blowing snow particles perturbed the ultrasonic measurement signal and electrically-charged particles caused an electric charge of the anemometers, leading to artifacts such as spikes and dropouts in the measured time series. These artifacts were largely removed and replaced by NaN, using the statistical spike removal algorithm of Mauder et al. (2013). However,  the artifact removal was sometimes incomplete for the lowest anemometer because of very intense snow transport close to the surface. While temporal averages are barely affected by the artifacts, the high-frequency data of the lowest anemometer should be used carefully when computing turbulent fluxes using the eddy-covariance method. Further important explanations are provided in the file Readme.pdf in data resource '(a) Metadata'.
References
- Mauder, M., Cuntz, M., Drüe, C., Graf, A., Rebmann, C., Schmid, H.P., Schmidt, M., Steinbrecher, R. (2013). A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements. Agric For Meteorol 169:122–135. https://doi.org/10.1016/j.agrformet.2012.09.006
- Nishimura, K., Nemoto M. (2005). Blowing snow at Mizuho station, Antarctica. Phil. Trans. R. Soc. A. 363: 1647–1662. https://doi.org/10.1098/rsta.2005.1599

en: drifting-snow atmospheric-turbulence meteorological-measurements antarctica blowing-snow

en: Profile measurements of snow transport and micrometeorology at Mizuho Station in Antarctica

envi

de: Umwelt

en: Environment

de:
Resource Title: (c) SPC average profiles
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/c_SPC_average_profiles.zip
    Description: Average vertical profiles of the horizontal snow mass flux, particle number size distribution, and mean and standard deviation of the particle diameter.

de:
Resource Title: (d) Sonic data 1
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/d_Sonic_data_1.zip
    Description: Ultrasonic anemometer data in the period from 30 September to 11 October 2000.

de:
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/f_Sonic_data_3.zip
    Description: Ultrasonic anemometer data in the period from 21 to 30 October 2000.

de:
Resource Title: (e) Sonic data 2
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/e_Sonic_data_2.zip
    Description: Ultrasonic anemometer data in the period from 11 to 21 October 2000.

de:
Resource Title: (i) Sonic data 6
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    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/i_Sonic_data_6.zip
    Description: Ultrasonic anemometer data in the period from 13 to 18 November 2000.

de:
Resource Title: (j) Spike percentage
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    Format: text/csv
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/j_Spike_percentage.csv
    Description: Percentage of spikes removed from the ultrasonic anemometer data per 5-min interval.

de:
Resource Title: (b) SPC time series
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    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/b_SPC_time_series.zip
    Description: Data from the snow particle counters with 1-s intervals.

de:
Resource Title: (h) Sonic data 5
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    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/h_Sonic_data_5.zip
    Description: Ultrasonic anemometer data in the period from 6 to 13 November 2000.

de:
Resource Title: (g) Sonic data 4
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/g_Sonic_data_4.zip
    Description: Ultrasonic anemometer data in the period from 30 October to 6 November 2000.

de:
Resource Title: (l) AWS data
    Size: 736870 bytes
    Format: text/csv
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/l_AWS_data.csv
    Description: Automatic weather station data with 10-min intervals.

de:
Resource Title: (a) Metadata
    Size: 113832 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/a_Metadata.zip
    Description: General and specific metadata for all files.

de:
Resource Title: (m) Weather observations
    Size: 16589 bytes
    Format: text/csv
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/m_Weather_observations.csv
    Description: Weather elements and phenomena observed by the Japanese Meteorological Agency.

de:
Resource Title: (k) Wind speed profiles
    Size: 302490 bytes
    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/k_Wind_speed_profiles.zip
    Description: Average vertical profiles of horizontal wind speed based on the ultrasonic anemometer data.

antarctica

display_name: antarctica

atmospheric-turbulence

display_name: atmospheric-turbulence

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

meteorological-measurements

display_name: meteorological-measurements


en: This repository contains the datasets that were used for used for the paper:: Drivers of Droplet Formation in East Mediterranean Orographic Clouds, EGUsphere, https://doi.org/10.5194/egusphere-2024-490, 2024.

en: ccn hygroscopicity hac2 cloud-droplets aerosol

envidat

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.

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Dataset for the publication Drivers of Droplet Formation in East Mediterranean Orographic Clouds

de:
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de:
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de:
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de:
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de:
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de:
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de:
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de:
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de:
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    Description:

de:
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de:
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    Description:

de:
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    Description:

de:
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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    Description:

de:
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    Description:

de:
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    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
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de:
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    Description:

de:
Resource Title: Data_Description.docx
    Size: 14631 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/60947c14-d54a-4264-a2d8-26e3276ff449/resource/c03ec764-1151-4c0d-a300-332b40719ec2/download/data_description.docx
    Description:

aerosol

display_name: aerosol

ccn

display_name: ccn

cloud-droplets

display_name: cloud-droplets

hygroscopicity

display_name: hygroscopicity


en:
The data set contains the re-analyzed (or quality-checked) regional avalanche danger levels (D_QC) for Switzerland.
D_QC relates to dry-snow avalanche conditions only. Measuring the avalanche danger level D is not possible; forecast, nowcast, and hindcast assessments of D are judgments by humans interpreting data. However, combining several pieces of information indicating the same D, it can be expected that it is more likely that D_QC represents the avalanche conditions well.
For the **forecasting seasons 2001/2002 until 2019/2020**, the approach to obtain D_QC is described in detail in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).
For the **forecasting seasons 2020/2021 and later**, D_QC is derived using the following approach:
1. *Combination of forecast (D_forecast) and nowcast (D_nowcast)*: If there was only one assessment available by an observer after a day in the field for a region, and if D_forecast = D_nowcast --- D_QC = D_forecast.
2. *Combination of several nowcast assessments (D_nowcast)*: If two (or more) observers agreed (or majority opinion) in their (independent) assessments of D_nowcast after a day in the field in the same warning region. --- D_QC = D_nowcast.
3. *Hindcast analysis (D_hindcast)*: In Switzerland, avalanche forecasters re-evaluate all situations when D = 4 (high) or D = 5 (very high) were either forecast, should have been forecast, or when forecasters discussed given one of these two levels but had not given them. Generally, two forecasters assess each situation. In these cases, D_QC = D_hindcast. The hindcast analysis, only available since the forecasting season 2020/2021, replaces what was step (2) in Appendix A of [Pérez-Guillén et. al. (2022)](https://nhess.copernicus.org/articles/22/2031/2022/nhess-22-2031-2022.html).
All other cases - ties in case of (1) or (2), no new information from the warning region in question, or if no D_hindcast was available - are not considered quality-checked, and are, thus, not contained in the data set.
In addition to D_QC, the file contains information on the elevation and aspect, where D_QC likely prevails.
- The indicated elevation is the mean of the respective elevations in (1), (2), or (3). At danger level 1 (low), when no elevation is indicated in the Swiss forecast, a value of 1500 m is set.
-  For the four cardinal aspects N, E, S, and W, a value of 1 means that there was agreement that D was reached in this aspect and a value of 0 means that there was agreement that D was not reached in this aspect. Intermediate values correspondingly mark disagreements in the assessments.

en: verification avalanche-danger-level avalanche-forecasting avalanche-bulletin avalanche-forecast

envidat

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.

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Re-analyzed regional avalanche danger levels in Switzerland

envi

de: Umwelt

de:
Resource Title: data_2020-2021_2022-2023.csv
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    URL: https://www.envidat.ch/dataset/6fa1a7f9-dea0-4bf7-aa98-a9d5d1e41625/resource/1f7aa436-aa12-488d-9897-217b8f467670/download/dangerlevel_tidy_2020-2021_2022-2023.csv
    Description: D_QC for forecasting seasons 2020/2021 - 2022/2023.

de:
Resource Title: data_2001-2002_2019-2020.csv
    Size: 1100352 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/6fa1a7f9-dea0-4bf7-aa98-a9d5d1e41625/resource/b4197f26-0e2a-4831-85dc-f3e66bfffe92/download/dangerleveldataswitzerland_tidy_ft.csv
    Description: D_QC for forecasting seasons 2001/2002 until 2019/2020.

de:
Resource Title: data_2023-2024.csv
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    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/6fa1a7f9-dea0-4bf7-aa98-a9d5d1e41625/resource/a6564128-022a-421e-bb43-7caefd92bcee/download/data_2023-2024.csv
    Description: Data for the 2023/2024 forecasting season. It was added on 26 Aug 2024 by F. Techel.

avalanche-bulletin

display_name: avalanche-bulletin

avalanche-danger-level

display_name: avalanche-danger-level

avalanche-forecast

display_name: avalanche-forecast

avalanche-forecasting

display_name: avalanche-forecasting

verification

display_name: verification


en: Data on: (1) (Dataset 1) spatial distribution of urban beekeeping (number of hives and number of beekeeping locations)  in 14 Swiss cities (Geneva, Lausanne, Biel, Neuchatel, Basel, Zurich, Chur, Luzern, St. Gallen, Winterthur, Bern, Lugano, Bellinzona, Thun) for the period 2012-2018; (2)  (Dataset 2) aggregated data to model the sustainability of urban beekeeping.

en: pollination sustainability urbanization remote-sensing urban-biodiversity honeybees

en: Challenging the sustainability of urban beekeeping: evidence from Swiss cities

de:
Resource Title: Dataset 1
    Size: 144526 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/07e84672-abe5-43c2-ae7d-f15d28674db7/resource/67cc3748-cca6-491a-a259-90835d32bde9/download/dataset_1.csv
    Description: Dataset 1: Processed data for urban beekeeping 2012 & 2018

de:
Resource Title: Dataset 3
    Size: 94990 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/07e84672-abe5-43c2-ae7d-f15d28674db7/resource/29911cdc-420c-4fe5-aa2f-ac5be06a4acf/download/dataset_3.csv
    Description: Dataset on the the number of beehives and apiaries on the years 2012, 2013, 2014, 2015, 2016, 2017, 2018 in several Swiss cities.

de:
Resource Title: Dataset 2
    Size: 20820 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/07e84672-abe5-43c2-ae7d-f15d28674db7/resource/0dfd2c10-a6f8-4ef0-85f6-0fa1d99dad8e/download/dataset_2.csv
    Description: Dataset 2: Processed data for modelling balance urban greenspace

de:
Resource Title: Not used:
    Size: 1543627 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/07e84672-abe5-43c2-ae7d-f15d28674db7/resource/19c0b00b-578a-4917-b552-bd86a36b98a6/download/aggreated.data.fig1.csv
    Description: Not used for the analyses and not link to the paper.

honeybees

display_name: honeybees

pollination

display_name: pollination

remote-sensing

display_name: remote-sensing

sustainability

display_name: sustainability

urban-biodiversity

display_name: urban-biodiversity

urbanization

display_name: urbanization


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.

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

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

de:
Resource Title: Explanation data variables
    Size: 4090 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/a1a07896-7189-46b7-9fb7-c10e4f06d6c4/download/readme.csv
    Description:

de:
Resource Title: Information on the study sites
    Size: 14688 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/8c2661c3-d559-4820-98e7-e0d3ce3c4f0b/download/16072024_study_sties.csv
    Description: For each site, IDs, city, coordinates, structure where trapnest was attahced and height of the trapnest is provided

de:
Resource Title: Larval food composition
    Size: 222187 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/281173e2-361c-4953-8267-20ac6cf61588/resource/549272fe-1219-4eaf-bb06-4e0d130662a6/download/21092021_responses_metabarcoding_clean.csv
    Description:

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:
This dataset represents the data shown in the Figures 2 - 7 of Walthert et al. (2024): Coordination between degree of isohydricity and depth of root water uptake in temperate tree species. Science of the Total Environment (https://doi.org/10.1016/j.scitotenv.2024.174346). A detailed methodical description of the data can be found in the Methods section of the paper.
Abstract
In an increasingly dry environment, it is crucial to understand how tree species use soil water and cope with drought. However, there is still a knowledge gap regarding the relationships between species-specific stomatal behaviour, spatial root distribution, and root water uptake (RWU) dynamics.
Our study aimed to investigate above- and below-ground aspects of water use during soil drying periods in four temperate tree species that differ in stomatal behaviour: two isohydric tracheid-bearing conifers, Scots pine and Norway spruce, and two more anisohydric deciduous species, the diffuse-porous European beech, and the ring-porous Downy oak. From 2015 to 2020, soil-tree-atmosphere-continuum parameters were measured for each species in monospecific forests where trees had no access to groundwater. The hourly time series included data on air temperature, vapour pressure deficit, soil water potential, soil hydraulic conductivity, and RWU to a depth of 2 m. Analysis of drought responses included data on stem radius, leaf water potential, estimated osmotically active compounds, and drought damage.
Our study reveals an inherent coordination between stomatal regulation, fine root distribution and water uptake. Compared to conifers, the more anisohydric water use of oak and beech was associated with less strict stomatal closure, greater investment in deep roots, four times higher maximum RWU, a shift of RWU to deeper soil layers as the topsoil dried, and a more pronounced soil drying below 1 m depth. Soil hydraulic conductivity started to limit RWU when values fell below 10-3 to 10-5 cm/d, depending on the soil. As drought progressed, oak and beech may also have benefited from their leaf osmoregulatory capacity, but at the cost of xylem embolism with around 50% loss of hydraulic conductivity when soil water potential dropped below -1.25 MPa. Consideration of species-specific water use is crucial for forest management and vegetation modelling to improve forest resilience to drought.

en: water-potential stomatal-stringency anisohydric root-distribution water-use-strategy

envidat

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

en: EnviDat: the Environmental Data Portal

en: Water-use strategies of temperate tree species

anisohydric

display_name: anisohydric

root-distribution

display_name: root-distribution

stomatal-stringency

display_name: stomatal-stringency

water-potential

display_name: water-potential

water-use-strategy

display_name: water-use-strategy


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Frey B., Maurer C., Schneider K. (2023) Informationen zum Boden anhand der Gebundenheit der Rote-Liste Arten BAFU. Bundesamt für Umwelt BAFU. 26 p.
Please cite this paper together with the citation for the datafile.
Soil is the habitat and basis of life for countless creatures. The great importance of soil organisms for the fertility of our soils is widely recognized, but information is sparse on their distribution and possible endangerment in Switzerland. In the present project, target species, i.e. species that are closely linked to the soil, were identified, and for the the first time, information was gathered on the degree of endangerment of the soil ecosystem in Switzerland on the basis of Red List species. For eleven Red List  groups, the species' soil dependency was determined, i.e. whether their life cycle includes stages in or on the soil. The assessment of soil dependency was made using four classes, which enabled the classification not only of insects but also of vertebrates, land snails, lichens and fungi.

en: fungi fauna red-list soil-dependency soil-biodiversity info-fauna ecosystem-protection database soil-quality lichens soil-organisms eco-fauna conservation

en: Information on soil based on the soil dependency of the FOEN red list species

envi

en: Environment

de:
Resource Title: percentages_endangerment-categories.xlsx
    Size: 14873 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/006ebf36-0cbf-415f-bd0c-0261bc32b1f5/resource/a79f2c66-cf27-4427-b7ad-829931cb175a/download/percentages_endangerment-categories.xlsx
    Description: Proportion of endangered species grouped by the four soil dependency classes.

de:
Resource Title: raw_data.xlsx
    Size: 422329 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/006ebf36-0cbf-415f-bd0c-0261bc32b1f5/resource/b2f4f53a-4ffa-4a44-8290-0c3c9c6b1a82/download/raw_data.xlsx
    Description: Raw dataset of species and their soil dependency as well as endangerment status.

de:
Resource Title: soil_dependency.xlsx
    Size: 1367091 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/006ebf36-0cbf-415f-bd0c-0261bc32b1f5/resource/73beef16-17c8-46e4-a77b-adc5ec694918/download/soil_dependency.xlsx
    Description: Overview over the soil dependency and endangerment status of different groups of organisms.

conservation

display_name: conservation

database

display_name: database

eco-fauna

display_name: eco-fauna

ecosystem-protection

display_name: ecosystem-protection

fauna

display_name: fauna

fungi

display_name: fungi

info-fauna

display_name: info-fauna

lichens

display_name: lichens

red-list

display_name: red-list

soil-biodiversity

display_name: soil-biodiversity

soil-dependency

display_name: soil-dependency

soil-organisms

display_name: soil-organisms

soil-quality

display_name: soil-quality


en:
What are the research data files about:
Raw data on various beech (Fagus sylvatica) leaf traits. Beech leaf chemistry (primary and specialized metabolites), leaf damage measurements from various herbivore feeding guilds and crown health assessment
Which methods were used:
Field surveys on trees that showed either prematured defoliation due to drought-stress or showed not pre-mature defoliation. .
When and where was the data collected/analyzed:
Field data was collected in 2019, 2020
Data was analyzed in 2021-2023

en: fagus-sylvatica climate-change herbivory drought-legacy phytochemistry

envidat

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: Legacy effects of premature defoliation in response to an extreme drought event modulate phytochemical profiles with subtle consequences for leaf herbivory in European beech

de:
Resource Title: Specialized_metabolome.xlsx
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    URL: https://www.envidat.ch/dataset/57776282-fb31-43b3-be8a-42c4b8d25c71/resource/f1b46aa1-9647-4371-8c2c-442f78fe8831/download/specialized_metabolome.xlsx
    Description:

de:
Resource Title: Primary_metabolome.xlsx
    Size: 259529 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/57776282-fb31-43b3-be8a-42c4b8d25c71/resource/45798cb9-3888-4e89-8178-0f52330c08a8/download/primary_metabolome.xlsx
    Description:

de:
Resource Title: Overview_chemistry_herbivory.xlsx
    Size: 43689 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/57776282-fb31-43b3-be8a-42c4b8d25c71/resource/6283a18b-69af-4fd1-bbd0-294ee24ec06b/download/overview_chemistry_herbivory.xlsx
    Description:

climate-change

display_name: climate-change

drought-legacy

display_name: drought-legacy

fagus-sylvatica

display_name: fagus-sylvatica

herbivory

display_name: herbivory

phytochemistry

display_name: phytochemistry