en:
This dataset contains all snow, canopy and meteorological data presented and used in the publication: Mazzotti, G., Essery, R., Moeser, D. & Jonas T. (2020) 'Resolving spatial variability of forest snow using an energy-balance model with a 1-layer canopy'. Water Resources Research, https://doi.org/10.1029/2019WR026129.
This publication must be cited when using this dataset.

en: forest-snow snow-energy-balance snow-modelling snow-distribution forest-structure

en: Snow depth, canopy structure and meterorological datasets from the Davos area, Switzerland, Winters 2012/13-2014/15, used for high-resolution forest snow modelling

envi

de: Umwelt

de:
Resource Title: Grid point nomenclature
    Size: 16191 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5369a1d1-dbdd-4397-8409-8b7105b79e8b/resource/af731be9-f29a-4ff3-89a4-d7c042cde321/download/grid_point_nomenclature.xlsx
    Description: The grid structure of each forest site and the respective nomenclature applied to label individual points within each grid are outlined here.   Each point marks the location of snow depth measurements and co-located canopy structure parameters.

de:
Resource Title: Canopy data
    Size: 383962 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5369a1d1-dbdd-4397-8409-8b7105b79e8b/resource/11c64977-4469-4786-93e1-d8f0a897bbc9/download/canopy_data.xlsx
    Description: Includes all canopy structure metrics computed at all surveyed locations

de:
Resource Title: Coordinates data
    Size: 70111 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5369a1d1-dbdd-4397-8409-8b7105b79e8b/resource/a3df4cb0-7f75-46e5-ae50-ffc0c2fa2a7a/download/coordinates_data.xlsx
    Description: Includes coordinate information of each surveyed point (7 x 276 = 1932 forest points, 2 open areas)

de:
Resource Title: Snow depth data open sites
    Size: 18865 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5369a1d1-dbdd-4397-8409-8b7105b79e8b/resource/cf970b76-a538-4b2b-b478-d8458dbec9cf/download/hs_data_open.xlsx
    Description: Contains all snow detph data accquired at open sites nearby the forest stands during the same period.

de:
Resource Title: Meteo data to drive FSM2 model
    Size: 730523 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/5369a1d1-dbdd-4397-8409-8b7105b79e8b/resource/f03a1a6e-261c-4d63-b516-e722ebb0ca8d/download/meteo_data.zip
    Description: Includes meteorological driving data used to run the forest snow model FSM2, processed and parsed in text files that match the format required by FSM2. Separate files are available for each field area (Laret, Drusatscha and Ischlag) and season (2012/13, 2013/14, 2014/15). Each file includes data for the period from October 1st to May 31st at hourly resolution.

format: ZIP

media_type: application/zip

de:
Resource Title: Snow depth data forest sites
    Size: 326390 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/5369a1d1-dbdd-4397-8409-8b7105b79e8b/resource/4a465ad6-8cc2-440b-b211-a4b68b37adde/download/hs_data_forest.xlsx
    Description: Contains all snow depth data acquired at all forest sites during winters 2012/13, 2013714 and 2014/15.

forest-snow

display_name: forest-snow

forest-structure

display_name: forest-structure

snow-distribution

display_name: snow-distribution

snow-energy-balance

display_name: snow-energy-balance

snow-modelling

display_name: snow-modelling


$oid: OBSOLETE

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

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

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: 2013-2020 gas exchange at Pfynwald

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

en: Environment

fr: Environnement

it: Ambiente

de:
Resource Title: Methods diurnal measurements
    Size: 593 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/bfedd747-6d88-44b4-8aba-3094af8766eb/resource/45f2d648-386c-42bb-b766-6f804e7c7de6/download/methodsmetadata_diurnal.csv
    Description: Parameters and methodology for diurnal measurements

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

format: CSV

media_type: text/csv

de:
Resource Title: Methods light response
    Size: 607 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/bfedd747-6d88-44b4-8aba-3094af8766eb/resource/c5ef8bc5-79ab-4aec-9e02-d031e1e7d976/download/methodsmetadata_lightcurves_darkresp.csv
    Description: Methods and parameters for light response curves

de:
Resource Title: Methods ACi curves
    Size: 731 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/bfedd747-6d88-44b4-8aba-3094af8766eb/resource/c7536938-120e-4975-97e4-e40649637634/download/methodsmetadata_acicurves.csv
    Description: Parameters and methods for CO2 response curves of Photosynthesis.

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

de:
Resource Title: Instrument details
    Size: 1174 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/bfedd747-6d88-44b4-8aba-3094af8766eb/resource/e7342279-bf44-451b-afa2-78cb77babf5e/download/instrumentdetails_pfynwald.csv
    Description: Instrument details for all LiCor instruments used during collection of dataset.

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

de:
Resource Title: Methods survey
    Size: 596 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/bfedd747-6d88-44b4-8aba-3094af8766eb/resource/229fbf92-a0ff-44b5-b799-b55fabe2b99c/download/methodsmetadata_point.csv
    Description: Parameters and methods for point measurements / survey measurements

de:
Resource Title: Variable names and units
    Size: 15839 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/bfedd747-6d88-44b4-8aba-3094af8766eb/resource/39614a56-a982-4123-a8d6-e9aaa51c838a/download/variable_names_units.xlsx
    Description: Variable names, description and units for the Pfynwald Gas exchange data

format: XLS

de:
Resource Title: Methods fluorescence
    Size: 534 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/bfedd747-6d88-44b4-8aba-3094af8766eb/resource/1d2343e4-bdf9-4ff0-9582-0c9ef11e139e/download/methodsmetadata_fluoresence.csv
    Description: Parameters and methodology for Fluorescence measurements

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

de:
Resource Title: Pfynwald gas exchange
    Size: 4072706 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/bfedd747-6d88-44b4-8aba-3094af8766eb/resource/3d0f2a0a-c365-4f15-a8e7-312943cbcad6/download/pfynwald_gasexchange_201306_202010.csv
    Description: Full dataset of Pfynwald gas exchange data taken in the period from June 2013 to October 2020.
All metdata can be found in attached documents.
Data uploaded after quality control using guidelines by Ely et al (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2021.101232

acclimation

display_name: acclimation

drought

display_name: drought

fluorescence

display_name: fluorescence

gas-exchange

display_name: gas-exchange

photosynthesis

display_name: photosynthesis

pinus-sylvestris

display_name: pinus-sylvestris

vpd

display_name: vpd


en:
Debris-flow bulk volumes from the WSL monitoring station.
More information can be found in McArdell et al. (2007) and Schlunegger et al. (2009).

en: debris-flow force-plate volume magnitude monitoring-station illgraben

en: Debris-flow volumes at the Illgraben 2000-2017

envi

de: Umwelt

debris-flow

display_name: debris-flow

force-plate

display_name: force-plate

illgraben

display_name: illgraben

magnitude

display_name: magnitude

monitoring-station

display_name: monitoring-station

volume

display_name: volume


en:
Data on dissolved organic and inorganic phosphorus and nitrogen concentrations in leachates and their corresponding
fluxes from the litter layer, the Oe/Oa horizon, and the A horizon of two German beech forest sites.
Leachate samples were taken in April 2018, July 2018, October 2018, Feb./Mar. 2019, and July 2019
with zero-tension lysimeters after artificial irrigation. Soil samples were taken in July 2019.
For more details please refer to the publication.

en: seasons zero-tension-lysimeters forest-topsoil phosphorus fertilization soil-temperature beech dissolved-organic-phosphorus nitrogen nutrient-fluxes

en: Phosphorus and nitrogen leaching from beech forest soils

beech

display_name: beech

dissolved-organic-phosphorus

display_name: dissolved-organic-phosphorus

fertilization

display_name: fertilization

forest-topsoil

display_name: forest-topsoil

nitrogen

display_name: nitrogen

nutrient-fluxes

display_name: nutrient-fluxes

phosphorus

display_name: phosphorus

seasons

display_name: seasons

soil-temperature

display_name: soil-temperature

zero-tension-lysimeters

display_name: zero-tension-lysimeters


phosphatase-leaching

en:
Data on phosphomonoesterase activity in forest topsoil leachates and soil extracts as well as P forms in the leachate.
Leachate samples were taken in Feb./Mar. and July 2019 with zero-tension lysimeters at two sites in Germany
of contrasting phosphorus availability from the litter, the Oe/Oa, and the A horizon in beech forest.
Soil samples were taken in July 2019. For methods see publication.

en: phosphate phoshporus-forms dissolved-organic-phosphorus phosphomonoesterase-activity forest-topsoil

en: Phosphatase leaching

title_for_slug: phosphatase-leaching

phoshporus-forms

display_name: phoshporus-forms

phosphate

display_name: phosphate

phosphomonoesterase-activity

display_name: phosphomonoesterase-activity


en:
Flavescence dorée (FD) is a grapevine disease caused by associated phytoplasmas (FDp), which are epidemically spread by their main vector Scaphoideus titanus. The possible roles of alternative and secondary FDp plant hosts and vectors have gained interest to better understand the FDp ecology and epidemiology. A survey conducted in the surroundings of a vineyard in the Swiss Southern Alps aimed at studying the possible epidemiological role of the FDp secondary vector Orientus ishidae and the FDp host plant Alnus glutinosa is reported.
Data used for the publication.
Insects were captured by using a sweeping net (on common alder trees) and yellow sticky traps (Rebell Giallo, Andermatt Biocontrol AG, Switzerland) placed in the vineyard canopy. Insects were later determined and selected for molecular analyses.
Grapevines and common alder samples were collected using the standard techniques. The molecular analyses were conducted in order to identify samples infected by the Flavescence dorée phytoplasma (16SrV-p) and the Bois Noir phytoplasma (16SrXII-p). A selection of the infected sampled were further characterized by map genotype and sequenced in order to compare the genotypes in insects, grapevines and common alder trees.

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

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

de:
Resource Title: Results of molecular analyses on a selection of the sampled symptomatic grapevines in Origlio.
    Size: 1047 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a8aae911-c178-4445-8a6f-c3ad90af1709/resource/b86bc2f1-6078-462b-80bc-304561386b2a/download/suppl-tables1_4envidat.csv
    Description: Real-time PCR for 16SrV and 16SrXII phytoplasmas, and nested PCR and RFLP digestion (16SrV phytoplasma only). Cq; cycle quantification value; BDL: below detection limit; FDp: “Flavescence dorée” phytoplasma; BNp: “Bois noir” phytoplasma; +: positive response to real-time PCR test; -: negative response to real-time PCR test.

de:
Resource Title: Orientus ishidae (development stages L1-2; L3-5; and imago) caught with sweeping net on common alders per plot.
    Size: 384 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a8aae911-c178-4445-8a6f-c3ad90af1709/resource/3aba7be1-f8d3-4582-b574-df410bc5c48b/download/suppl-tables2_4envidat.csv
    Description: Number of sampling common alder trees (NAlders) and data regarding captures of O. ishidae (mean, standard deviation (SD), number of observations (NObservations) and total seasonal captures) are reported.

de:
Resource Title: Plots description
    Size: 265 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a8aae911-c178-4445-8a6f-c3ad90af1709/resource/4724d618-95b5-49a2-bf61-d25ce3d5fd9e/download/table1_4envidat.csv
    Description: Characteristics of the monitored vineyards, including the number of sampled common alders and the number of yellow sticky traps (YST) placed in the canopy.

de:
Resource Title: Features of the phytoplasma isolates
    Size: 2613 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a8aae911-c178-4445-8a6f-c3ad90af1709/resource/c2103dd5-59f8-4f9c-b931-11e16459cbca/download/table3_4envidat.csv
    Description: Features of the phytoplasma isolates analyzed in this work and reference strains, together with relative GenBank accession numbers and host.

de:
Resource Title: Leafhopper captures in vineyards.
    Size: 265 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a8aae911-c178-4445-8a6f-c3ad90af1709/resource/f43c4bb2-c011-4372-bcf7-93041657bf5a/download/table4_4envidat.csv
    Description: Leafhoppers captured on yellow sticky traps (YST) placed in vineyards and sampled for molecular analyses. Counts may differ if the quality of the individual specimens was deemed as insufficient for the molecular analysis. Specimens of Scaphoideus titanus caught in Camorino were sampled but not analyzed.

de:
Resource Title: Results of the molecular analyses conducted on the sampled common alder trees in Origlio, Camorino, and Montalbano.
    Size: 838 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a8aae911-c178-4445-8a6f-c3ad90af1709/resource/f3ac9b03-b4ce-4d18-86b3-f9c829a1d448/download/suppl-tables3_4envidat.csv
    Description: Real-time PCR (conducted on all samples), and nested PCR and RFLP digestion (Origlio only). Cq; cycle quantification value; +: positive response to real-time PCR test; -: negative response to real-time PCR test.

de:
Resource Title: Analyzed and infected specimens.
    Size: 801 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a8aae911-c178-4445-8a6f-c3ad90af1709/resource/7e68d2e6-2d08-44e8-928b-0e968d624242/download/table5_4envidat.csv
    Description: Number of analyzed and 16SrV-infected specimens collected on common alder trees and on yellow sticky traps (YST) placed inside the vineyard and corresponding infection rate.

alnus-glutinosa

display_name: alnus-glutinosa

alternative-vector

display_name: alternative-vector

flavescence-doree

display_name: flavescence-doree

map-genotype

display_name: map-genotype

orientus-ishidae

display_name: orientus-ishidae

phytoplasma

display_name: phytoplasma

scaphoideus-titanus

display_name: scaphoideus-titanus

switzerland

display_name: switzerland

ticino

display_name: ticino


en: This dataset includes data from 15 native pond breeding species in Switzerland in addition to observations of any species within the Pelophylax genus of water frogs. 233 sites (obnr) sampled during the 2011-2016 round of the WBS survey, which are listed as the "first" round of surveys. Data are also provided at 73 sites which were resurveyed in 2017 or 2018 ("second" surveyround). The data are filtered as described in Cruickshank et al. (2021) to remove data from surveys carried out after the final sighting of a species within a year, and before the first observation of the species within a year. Observational data are provided as one of 3 observation types; 1 denotes a survey where the species was not detected, 2 denotes surveys where the species was detected but no life stages indicating successful breeding (e.g. the presence of eggs or larvae) were observed. Observation type 3 denotes a survey where evidence of successful breeding was observed (i.e. eggs or larvae). Survey protocols and full descriptions of the data are provided in Cruickshank et al (2021).

en: occupancy-models breeding conservation amphibians monitoring detectability

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: Data from: Estimation of breeding probbability can make monitoring data more revealing: a case study of amphibians

amphibians

display_name: amphibians

breeding

display_name: breeding

conservation

display_name: conservation

detectability

display_name: detectability

monitoring

display_name: monitoring

occupancy-models

display_name: occupancy-models


latent-reserves-within-the-swiss-nfi

en:
The files refer to the data used in Portier et al. "‘Latent reserves’: a hidden treasure in National Forest Inventories" (2020) *Journal of Ecology*.

**'Latent reserves'** are defined as plots in National Forest Inventories (NFI) that have been free of human influence for -40 to -70 years. They can be used to investigate and acquire a deeper understanding of attributes and processes of near-natural forests using existing long-term data. To determine which NFI sample plots could be considered ‘latent reserves’, criteria were defined based on the information available in the Swiss NFI database:

* Shrub forests were excluded.
* Plots must have been free of any kind of management, including salvage logging or sanitary cuts, for a minimum amount of time. Thresholds of 40, 50, 60 and 70 years without intervention were tested.
* To ensure that species composition was not influenced by past management, plots where potential vegetation was classified as deciduous by Ellenberg & Klötzli (1972) had to have an observed proportion of deciduous trees matching the theoretical proportion expected in a natural deciduous forest, as defined by Kienast, Brzeziecki, & Wildi (1994).
* Plots had to originate from natural regeneration.
* Intensive livestock grazing must never have occurred on the plots.

The tables stored here were derived from the first, second and third campaigns of the Swiss NFI. The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php).
****
The files 'Data figure 2' to 'Data figure 8' are publicly available and contain the data used to produce the figures published in the paper.
The files 'Plot-level data for characterisation of 'latent reserves' and 'Tree-level data for characterisation of 'latent reserves' contain all the data required to reproduce the section of the article concerning the characterisation of 'latent reserves' and the comparison to managed forests. The file 'Data for mortality analyses' contains the data required to reproduce the section of the article concerning tree mortality in 'latent reserves'. The access to these three files is restricted as they contain some raw data from the Swiss NFI, submitted to the Swiss law and only accessible upon contractual agreement.

en: switzerland near-natural-forest tree-mortality national-forest-inventory forest-reserves

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: 'Latent reserves' within the Swiss NFI

title_for_slug: latent-reserves-within-the-swiss-nfi

de:
Resource Title: Data figure 3
    Size: 5508 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/744ed206-605b-43a0-a560-bd0f27777735/download/d_fig3.csv
    Description: This file contains the data required to reproduce Figure 3:

- "FOREST_TYPE" states whether a row corresponds to managed forests or to 'latent reserves' with a given number of years without human intervention (for example, 'LATENT_RESERVE40' are the 'latent reserves' with at least 40 years without human intervention)
- "ELEV_VEG_ZONE" refers to the elevation vegetation zone (colline and submontane, montane or subalpine)
- "VARIABLE" refers to the indicators described in the figure: Ellenberg indicators for light, temperature and moisture, as well as species richness.
- "mean" refers to the mean value of each indicator for each combination of forest type and elevation vegetation zone (corrected for the inclusion probability of each tree).
- "se" corresponds to the standard error.

For these calculations, site index was constrained to the range observed in 'latent reserves' with at least 40 years without intervention.

de:
Resource Title: Tree-level data for characterisation of 'latent reserves'
    Size: 7664896 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/1bb1a8e4-0581-451e-b9bf-1dbbac120f4a/download/d_treelevel.csv
    Description: This table contains the tree-level information required to reproduce the charaterisation of 'latent reserves' and comparison to managed forests:

* "FOREST_TYPE" states whether a row corresponds to managed forests or to 'latent reserves' with a given number of years without human intervention (for example, 'LATENT_RESERVE40' are the 'latent reserves' with at least 40 years without human intervention)
* "SOURCE" differentiate inventoried trees ("W", DBH greater or equal to 12 cm) and young-growth trees measured on subplots ("JW").
* "SPECIES" refers to the species code of the Swiss NFI.
* "SPECIES_GROUP" refers to which species group a tree belongs to (spruce, fir, pine, larch, stone pine, other conifers, beech, maple, ash, oak, chestnut, other broadleaves)
* "ALIVE_NFI2" takes the value '1' when the tree was alive at the previous inventory (NFI2). Trees with no value (NA) were not measured at NFI2. This variable should be used to calculate mortality rates, as only trees that were present at NFI2 can be used to calculate the mortality rate between NFI2 and NFI3.
* "DEAD" takes the value '1& when a tree was observed dead at NFI3, and the value '0' when it was observed alive.
* "INCLUSION_PROB" represents the inclusion probability of a tree i.e. the number of trees that a given tree represents per hectare. This number depends on the DBH of the tree and on whether the plot area was reduced by a boundary (e.g. a forest edge). This variable should be used to weight the trees in some calculations.
* "DBH" is the diameter at breast height of a tree in centimeters.
* "LIGHT", "TEMPERATURE", "MOISTURE" refer to the value of the Ellenberg indicators for light, temperature and moisture that are species-specific. 'NA' is attributed when the value of an indicator is not available for a given species.

de:
Resource Title: Plot-level data for characterisation of 'latent reserves'
    Size: 1535133 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/3ce25df8-138f-4abd-a2da-4afea2df26c1/download/d_plotlevel.csv
    Description: This table contains the plot-level information required to reproduce the charaterisation of 'latent reserves' and comparison to managed forests:

* "FOREST_TYPE" states whether a row corresponds to managed forests or to 'latent reserves' with a given number of years without human intervention (for example, 'LATENT_RESERVE40' are the 'latent reserves' with at least 40 years without human intervention)
* "ELEV_VEG_ZONE" refers to the elevation vegetation zone (colline and submontane, montane or subalpine)
* "DOMINANT_SPECIES" refers to the dominant species in a given plot (spruce, fir, other conifers, beech, other broadleaves)
* "TIME_SINCE_INTERVENTION" refers to the numbers of years since the last human intervention on the plot. This variable should be used to set the threshold of time since last intervention one wants to use to define 'latent reserves'.
* "VEGYEAR" refers to the number of vegetation years between the measurements of a plot for NFI2 and NFI3.
* "BA" provides the basal area in squared meters per hectare of a plot calculated from trees having a DBH of at least 12 cm.
* "BA_WITH_YG" provides the basal area in squared meters per hectare of a plot calculated from trees having a DBH of at least 12 cm as well as young growth trees.
* "STAND_DENSITY" provides the stand density in number of stems per hectare of a plot calculated from trees having a DBH of at least 12 cm.
* "STAND_DENSITY_WITH_YG" provides the stand density in number of stems per hectare of a plot calculated from trees having a DBH of at least 12 cm as well as young growth trees.
* "SITE_INDEX" refers to the site index of a plot, i.e. the total biomass productivity calculated according to Keller (1976).
* "DEADWOOD" refers to the amount of deadwood of a plot in tons per hectare.

******

Reference
Keller, W. (1976). Einfacher ertragskundlicher Bonitätsschlüssel für Waldbestände in der Schweiz. Zurich, Switzerland: ETH Zurich.

de:
Resource Title: Data figure 5
    Size: 16424 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/322cf1b9-04b6-4c9f-8060-83341a2719cf/download/d_fig5.csv
    Description: This file contains the data required to reproduce Figure 5:

- "FOREST_TYPE" states whether a row corresponds to managed forests or to 'latent reserves' with a given number of years without human intervention (for example, 'LATENT_RESERVE40' are the 'latent reserves' with at least 40 years without human intervention)
- "DOMINANT_SPECIES" refers to the dominant species in a given plot (spruce, fir, other conifers, beech, other broadleaves)
- "VARIABLE" refers to the attributes described in the figure: basal area in squared meters per hectare, median DBH in cm, stand density in number of stems per hectare, deadwood in tons per hectare, site index in tons per hectare per year. Basal area, median DBH and stand density are given both with and without including young-growth trees.
- "mean" refers to the mean value of each attribute for each combination of forest type and dominant species (corrected for the inclusion probability of each tree).
- "se" corresponds to the standard error.

For these calculations, site index was constrained to the range observed in ‘latent reserves’ with at least 40 years without intervention. Additionally, only NFI sample plots from the montane and subalpine zones were used as colline and submontane NFI plots from ‘latent reserves’ and managed forests are located in different geographical regions.

de:
Resource Title: Data figure 8
    Size: 2258862 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/24e1a8c9-6380-432a-8a0b-ca979da75b2d/download/d_fig8.csv
    Description: This file contains the data required to reproduce Figure 8:

* "SPECIES_GROUP" refers to the species groups used in the mortality analyses (spruce, fir, pine, larch, stone pine, beech, maple and ash, oak, chestnut, other broadleaves)
* "BASAL_AREA" refers to the values of the basal area in squared meters per hectare for which predictions were made
* "STAND_DENSITY" refers to the values of stand density in number of stems per hectare for which predictions were made
* "NORM_PRED_MORTALITY_PROB" refers to the normalised predicted mortality probability corresponding to a given species group and values of basal area and stand density.

de:
Resource Title: Data figure 6
    Size: 5834 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/c01ebb60-0184-4392-a562-4c3555e901fb/download/d_fig6.csv
    Description: This file contains the data required to reproduce Figure 6:

- "FOREST_TYPE" states whether a row corresponds to managed forests or to 'latent reserves' with a given number of years without human intervention (for example, 'LATENT_RESERVE40' are the 'latent reserves' with at least 40 years without human intervention)
- "SPECIES_GROUP" refers to all the trees of a given species group (spruce, fir, pine, larch, stone pine, other conifers, beech, maple, ash, oak, chestnut, other broadleaves)
- "MORTALITY_RATE" refers to the mean annual mortality rate of each species group calculated according to Sheil and May (1996)
- "LOWER_CI" and "UPPER_CI" refer to the lower and upper confidence intervals on the mortality rates, calculated according to Sheil and May (1996).

Reference
Sheil, D., & May, R. M. (1996). Mortality and recruitment rate evaluations in heterogeneous tropical forests. Journal of Ecology, 84(1), 91–100. doi: 10.2307/2261703

de:
Resource Title: Data figure 4
    Size: 198106 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/c9ce4b0e-a00a-4a96-811c-99dd23d2f9a5/download/d_fig4.csv
    Description: This file contains the data required to reproduce Figure 4:

- "FOREST_TYPE" states whether a row corresponds to managed forests or to 'latent reserves' with a given number of years without human intervention (for example, 'LATENT_RESERVE40' are the 'latent reserves' with at least 40 years without human intervention)
- "ELEV_VEG_ZONE" refers to the elevation vegetation zone (colline and submontane, montane or subalpine)
- "SPECIES_GROUP" refers to all the trees of a given species group (spruce, fir, pine, larch, stone pine, other conifers, beech, maple, ash, oak, chestnut, other broadleaves)
- "DBH_CL" refers to the DBH (diameter at breast height) class to which a tree belongs to, in centimetres.
- "DENSITY" refers to the proportion of trees (corrected for the inclusion probability of each tree) within each combination of forest type, elevation vegetation zone, species group and DBH class.

The inclusion probability of each tree was accounted for in the density calculation.

de:
Resource Title: Data figure 7
    Size: 62372 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/4adfbe81-302b-4654-a07c-87827098b257/download/d_fig7.csv
    Description: This file contains the data required to reproduce Figure 7:

- "SPECIES_GROUP" refers to the species groups used in the mortality analyses (spruce, fir, pine, larch, stone pine, beech, maple and ash, oak, chestnut, other broadleaves)
- "VARIABLE" refers to the explanatory variables used in the model and presented in the figure: DBH (diameter at breast height) and relBAI (relative basal area increment).
- "VALUE" refers to the the values of the variables for which predictions were made.
- "PRED_MORTALITY_PROB" refers to the predicted mortality probability for a given species group and value of either DBH or relBAI.

de:
Resource Title: Data for mortality analyses
    Size: 851216 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/5e3cd66f-bc2f-49ce-b300-0468eeee420c/download/d_mortality.csv
    Description: This table contains the tree- and plot-level data necessary to conduct the tree mortality analyses:

* "DEAD" takes the value '0' when the tree was alive at NFI3 and '1' when it was observed dead
* "SPECIES" refers to which species group the tree belongs to
* "relBAL" is the relative basal area of larger trees
* "DBH" is the diameter at breast height
* "relBAI" is the relative basal area increment of the tree
* "BA" is the basal area in squared meters per hectare (stand-level)
* "STAND_DENSITY_LOG" is the logarithm of the stand density in number of stems per hectare
* "BEERS_ASPECT_CORR" is the Beers aspect corrected for slope of the plot
* "SLOPE_SQRT" is the squared root of the slope of the plot in percentage
* "ELEVATION" is the elevation of the plot in meters above sea level
* "AWC" is the available soil water-holding capacity in millimeters
* "VEGYEAR" is the number of vegetation years between the measurements of the plots at NFI2 and NFI3.

de:
Resource Title: Data figure 2
    Size: 10362 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/702645a2-8965-40df-ae9d-8b81df220bd1/resource/d40bae83-10d7-4545-80f0-29d6d138571e/download/d_fig2.csv
    Description: This file contains the data required to reproduce Figure 2:

- "FOREST_TYPE" states whether a row corresponds to managed forests or to 'latent reserves' with a given number of years without human intervention (for example, 'LATENT_RESERVE40' are the 'latent reserves' with at least 40 years without human intervention)
- "ELEV_VEG_ZONE" refers to the elevation vegetation zone (colline and submontane, montane or subalpine)
- "SPECIES_GROUP" refers to all the trees of a given species group (spruce, fir, pine, larch, stone pine, other conifers, beech, maple, ash, oak, chestnut, other broadleaves)
- "DENSITY" refers to the proportion of trees (corrected for the inclusion probability of each tree) within each combination of forest type, elevation vegetation zone and species group.

Young-growth trees are not included in the density calculation.

forest-reserves

display_name: forest-reserves

national-forest-inventory

display_name: national-forest-inventory

near-natural-forest

display_name: near-natural-forest

tree-mortality

display_name: tree-mortality


en: We present stated preference data based on a national representative Swiss online panel survey for the preference of renewable energy infrastructure in landscapes. The data was collected between November 2018 to March 2019 using an online questionnaire and resulted on 1026 responses. The online questionnaire consisted of two main parts – (1) questions covering meanings related to landscapes, nature and renewable energy infrastructure, including the “fit” of landscape/REI combinations and (2) online choice experiment. While in the first part of the questionnaire we asked respondents about their personal connection to certain landscapes, to nature and to specific renewable energy infrastructures, we also asked them to evaluate the fitting of seven different Swiss landscapes (near natural alpine areas, northern alps, touristic alpine areas, agricultural plateau, urban plateau, jura ridges, urban alpine valley) with five different REI (wind, PV ground, PV roof, power lines) combinations. In the second part of the questionnaire, the stated choice experiment confronted respondents with 15 consecutive choice tasks, with each task involving a choice between two “energy system transformation” options and an opt-out option (none). Each choice option (beside the opt-out option) included four unlabeled attributes (landscape, wind energy infrastructure, photovoltaic energy infrastructure, high voltage overhead power line infrastructure) with varying levels. Due to data cleaning procedures (item nonresponse) the number of responses used within hybrid choice modelling and analysis was n=844 (12660 choice observations). An analysis of the hybrid choice model and further insights are presented in the article “How landscape-technology fit affects public evaluations of renewable energy infrastructure scenarios. A hybrid choice model.”

en: mixed-renewable-energy-landscapes landscape renewable-energy-meanings survey perceived-landscape-quality hybrid-choice-model landscape-meanings stated-choice-model landscape-technology-fit renewable-energy energy

en: Hybrid choice modelling dataset for the effects of landscape-technology fit on public evaluations

envi

de: Umwelt

en: Environment

de:
Resource Title: ENERGYSCAPE choice model attributes and tasks
    Size: 36812 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e408aaea-2ba5-47e8-8be4-2053c9528b0c/resource/967dc54a-0e06-4b63-afc4-34b4d518fa94/download/energyscape_choice_tasks_and_attributes.pdf
    Description: This data provides overview about the choice model design, the choice tasks and the choice attributes.

format: PDF

media_type: application/pdf

de:
Resource Title: ENERGYSCAPE Landscape attribute of choice model
    Size: 498857 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e408aaea-2ba5-47e8-8be4-2053c9528b0c/resource/2615b640-9347-4c8e-890f-28c4b484900d/download/energyscape_attribute_landscape.pdf
    Description: This file illustrated the 7 landscapes applied in the choice model. The numbers appear are identical to the numbers in the base data.

de:
Resource Title: Energyscape RAW data
    Size: 277161 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e408aaea-2ba5-47e8-8be4-2053c9528b0c/resource/7b8aea81-5547-4940-a463-5eb862955145/download/energyscape_questionnaire_dataset.csv
    Description: This dataset contains the raw data of the questionnaire including headers (column names). One line represents one respondent. Details to each variable (including scales) can be found in an attached PDF file.

de:
Resource Title: ENERGYSCAPE exemplary choice task
    Size: 1179703 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e408aaea-2ba5-47e8-8be4-2053c9528b0c/resource/5176eb19-8a0d-4607-8112-c2eb125df114/download/energyscape_choice_task_6321_7431.pdf
    Description: This file contains an exemplary choice task.

de:
Resource Title: ENERGYSCAPE Landscape-technology fit example
    Size: 67976 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e408aaea-2ba5-47e8-8be4-2053c9528b0c/resource/14bef48e-57ac-4139-a3f0-e3334f5fa2ba/download/energyscape_ltf_example.pdf
    Description: This file contains an exemplary illustration on how the landscape-technology fit concept was measures within the survey.

de:
Resource Title: ENERGYSCAPE base data variable description
    Size: 85200 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/e408aaea-2ba5-47e8-8be4-2053c9528b0c/resource/b3362724-a5d3-445f-9692-60c7fdf9806e/download/energyscape_questionnaire_dataset_description.pdf
    Description: This file contains descriptions (variable name, variable description, scale) of all variables of the base data.

energy

display_name: energy

hybrid-choice-model

display_name: hybrid-choice-model

landscape

display_name: landscape

landscape-meanings

display_name: landscape-meanings

landscape-technology-fit

display_name: landscape-technology-fit

mixed-renewable-energy-landscapes

display_name: mixed-renewable-energy-landscapes

perceived-landscape-quality

display_name: perceived-landscape-quality

renewable-energy

display_name: renewable-energy

renewable-energy-meanings

display_name: renewable-energy-meanings

stated-choice-model

display_name: stated-choice-model

survey

display_name: survey


literature-data-of-sound-speed-in-snow

en: This dataset contains literature data for snow density and frequency dependency of speed of sound waves in snow. The data were either available as tabular data in the original publications or were digitized from plots contained in the original publications. The data were originally collected and used for first figure in Capelli et al. (2016) .

en: snow sound-speed literature wave-speed frequency density

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: Literature data of sound speed in snow

title_for_slug: literature-data-of-sound-speed-in-snow

de:
Resource Title: Gudra
    Size: 329 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/57a4d0db-9f75-48a0-907d-e3b92f7b9eb4/download/gudra.csv
    Description:

de:
Resource Title: Reiweger
    Size: 336 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/8e14d7f8-4e56-4635-8ec0-48481629f5ce/download/reiweger.csv
    Description:

de:
Resource Title: Marco
    Size: 1584 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/f8b3156d-5d99-4d7b-a023-a89ff440dcf9/download/marco.csv
    Description:

de:
Resource Title: Ishida
    Size: 768 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/5b225ccc-3ae1-4fcc-afec-dfcfa3f67a12/download/ishida.csv
    Description:

de:
Resource Title: Capelli
    Size: 476 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/568ce512-ea60-4e1e-aeb6-528fe84cc816/download/capelli.csv
    Description:

de:
Resource Title: Takei
    Size: 730 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/1d052d34-3212-4e27-9c43-6eac526faa86/download/takei.csv
    Description:

de:
Resource Title: Yamada
    Size: 3497 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/9db1ed1d-55b6-4070-ad87-ae16fbd322b2/download/yamada.csv
    Description:

de:
Resource Title: Oura
    Size: 351 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/c0e4bbb4-bddf-4973-a092-d1b7305bf121/download/oura.csv
    Description:

de:
Resource Title: Smith
    Size: 1068 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/3c370c13-7944-4712-91cd-4e0cd7f0bae5/download/smith.csv
    Description:

de:
Resource Title: Iwase
    Size: 546 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fecf7f82-6ef0-469f-8a01-7f4d1d8145b4/resource/d3fb699f-2d12-4774-a2a1-ca9c45e2cb89/download/iwase.csv
    Description:

density

display_name: density

frequency

display_name: frequency

literature

display_name: literature

snow

display_name: snow

sound-speed

display_name: sound-speed

wave-speed

display_name: wave-speed


en:
The files refer to the data and R code used in Mey et al. "From small forest samples to generalised uni- and bimodal stand descriptions" (2021) _Methods in Ecology and Evolution_.
Generalised stand descriptions are coming from the simultaneous examination of samples that are representative for a specific target area (here, Switzerland) and link available information about forest stand attributes. They combine the modelling of uni- or bimodal diameter distributions and species compositions, i.e. the shares of stems of individual species. Generalised stand descriptions may be used to interpret tree species diversity, regeneration and harvest potentials on a plot-level basis, and to initialise forest models with representative stand data.
The data stored here were derived from the fourth campaigns of the Swiss National Forest Inventory (NFI). The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php).
---------------------------------------
The file 'Data Figures 2 and 4' is publicly available and contains the data used to produce the Figures 2 and 4 published in the paper.
The files 'Data diameter modelling' and 'Data species modelling' contain all the data required to reproduce the diameter and species model building. The access to these two files is restricted as they contain raw data from the fourth Swiss NFI, submitted to the Swiss law and only accessible upon contractual agreement.
The files 'Script diameter and species modelling' and 'Functions diameter modelling' are publicly available and provide the R code used to derive the generalised stand descriptions from the Swiss NFI data.

en: Generalised stand descriptions in Switzerland

envi

de: Umwelt

de:
Resource Title: Data species modelling
    Size: 450665 bytes
    Format: application/x-rds
    URL: https://www.envidat.ch/dataset/f8fe4971-0538-4d8e-b866-8d1cfd4b1584/resource/03162eba-0bd2-400a-b0f7-75c7cf117269/download/data_nfi4_species_modelling.rds
    Description: This rds file contains a data frame with single-tree and stand data required to reproduce the species composition model:

* 'clnr' refers to the plot number
* 'spec' refers to the main tree species group (12 groups)
* 'ba' refers to the basal area per hectare
* 'nph' refers to the number of stems per hectare
* 'drel' refers to the relative diameter ('drel' = (d - min(d)) / (max(d) - min(d)))
* 'temp' refers to the mean winter temperature (1988-2017, Dec-Feb)
* 'dev' refers to the development stage of the stand (e.g. 'Young growth')
* 'ftyp' refers to the potential climax forest type (e.g. 'Beech' refers to a beech-dominated stand)
* 'str' refers to the stand structure
* 'tillering' indicates whether the observed tree species on the NFI plot correspond to 'ftyp' ('TRUE') or not ('FALSE')
* 'prodreg' refers to the Swiss production region (ecoregion)
* 'fowner' refers to the forest ownership ('Public' or ' Private')

de:
Resource Title: Script diameter and species modelling
    Size: 16141 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/f8fe4971-0538-4d8e-b866-8d1cfd4b1584/resource/0e6e2a50-fb05-4236-b53f-a5bafaf7a069/download/script_diameter_and_species_modelling.r
    Description: This R script can be used to derive the uni- and bimodal Weibull log-likelihood regression models (in short: uni- and bimodal model), the species composition model and the main results presented in Mey et al. 2021 using data from the fourth Swiss NFI ('data_NFI4_diameter_modelling.rds' and 'data_NFI4_species_modelling.rds') and the R functions stored in 'functions_diameter_modelling.R'.

de:
Resource Title: Functions diameter modelling
    Size: 20702 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/f8fe4971-0538-4d8e-b866-8d1cfd4b1584/resource/e3f02601-e820-4df9-bcc9-c21bea82dc38/download/functions_diameter_modelling.r
    Description: This R file contains the functions used to produce the generalised diameter distributions in Mey et al. 2021.

de:
Resource Title: Data Figures 2 and 4
    Size: 744 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/f8fe4971-0538-4d8e-b866-8d1cfd4b1584/resource/2e6a5bbe-6836-47b2-86bb-be16ba2fe81e/download/data_figures_2_4.csv
    Description: This csv file contains the data required to reproduce Figure 2 and Figure 4.

* 'stand_type' states whether a row corresponds to NFI4 average summary statistics describing a generalised beech-dominated, spruce-dominated or an unspecified forest stand in Switzerland in its unimodal or bimodal form (e.g. 'beech.uni' refers to a generalised unimodal beech-dominated stand)
* 'md' refers to the mean diameter
* 'dq10' refers to the 10% quantile of the diameter
* 'dq90' refers to the 90% quantile of the diameter
* 'spr' refers to the spread between minimal and maximal diameter
* 'nph' refers to the number of stems per hectare
* 'o.qmd' refers to the overstorey quadratic mean diameter
* 'rho.emp' refers to proportion parameter (rho) determined by breakpoint setting
* 'ba' refers to the basal area per hectare
* 'drel' refers to the relative diameter ('drel' = (d - min(d)) / (max(d) - min(d)))
* 'temp' refers to the mean winter temperature (1988-2017, Dec-Feb)
* 'dev' refers to the development stage of the stand (e.g. 'Young growth')
* 'ftyp' refers to the potential climax forest type (e.g. 'Beech' refers to a beech-dominated stand)
* 'str' refers to the stand structure
* 'tillering' indicates whether the observed tree species on the NFI plot correspond to 'ftyp' ('TRUE') or not ('FALSE')
* 'prodreg' refers to the Swiss production region (ecoregion)
* 'fowner' refers to the forest ownership ('Public' or ' Private')

de:
Resource Title: Data diameter modelling
    Size: 243750 bytes
    Format: application/x-rds
    URL: https://www.envidat.ch/dataset/f8fe4971-0538-4d8e-b866-8d1cfd4b1584/resource/9cadbc57-7eab-4415-bf97-229d52cd412b/download/data_nfi4_diameter_modelling.rds
    Description: This rds file contains a list of 5085 data frames required to reproduce the uni- and bimodal diameter model. Each data frame comprises single-tree diameters ('dbh') and assigned representation factors ('repfa') at a single Swiss NFI4 plot.

* 'dbh' refers to the diameter at breast height (130 cm)
* 'repfa' refers to the representation factor used to scale up to one hectare

forest-model-initialisation

display_name: forest-model-initialisation

forest-stand-description

display_name: forest-stand-description

national-forest-inventory

display_name: national-forest-inventory

small-forest-samples

display_name: small-forest-samples

tree-species-composition

display_name: tree-species-composition

weibull-function

display_name: weibull-function


en:
Cloud Condensation Nuclei (CCN) data: A Droplet Measurement Technologies (DMT) single-column continuous-flow streamwise thermal gradient chamber (CFSTGC; Roberts and Nenes, 2005) was deployed at the measurement site Weissfluhjoch (2700 m a.s.l., LON: 9.806475, LAT: 46.832964) to record the in-situ CCN number concentrations between February 24 and March 8 2019 for different supersaturations (SS). To account for the difference between the ambient (~735 mbar) and the calibration pressure (~800 mbar), the SS reported by the instrument is adjusted by a factor of 0.92. The CFSTGC was cycled between 6 discrete SS values ranging from 0.09% to 0.74%, producing a full CCN spectrum every hour. The raw CCN measurements are filtered to discount periods of transient operation and whenever the room temperature housing the instrument changed sufficiently to induce a reset in column temperature. Additional information can be found in Section 2.1.2 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).
Hygroscopicity data: The CCN number concentration measurements were directly related to the size distribution and total aerosol concentration data measured by the Scanning Mobility Particle Size Spectrometer (SMPS) instrument at the same station (https://www.envidat.ch/dataset/aerosol-data-weissfluhjoch) to infer the particles hygroscopicity parameter (kappa). For each SMPS scan, the particles critical dry diameter (Dcr) is estimated by integrating backward the SMPS size distribution, until the aerosol number matches the CCN concentration observed for the same time period as the SMPS scan. Assuming the particle chemical composition is internally mixed, the kappa is determined from Dcr and SS, applying Köhler theory. Additional information can be found in Section 2.2 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).
Predicted cloud droplet numbers: Droplet calculations are carried out with the physically based aerosol activation parameterization of Morales and Nenes (2014), employing the “characteristic velocity” approach of Morales and Nenes (2010). Aerosol size distribution observations required to predict the cloud droplet numbers and maximum in-cloud supersaturation are obtained from the SMPS instrument deployed at Weissfluhjoch. The required vertical velocity measurements are derived from the wind Doppler Lidar (https://www.envidat.ch/dataset/lidar-wind-profiler-data) deployed at Davos Wolfgang and are extracted for the altitude of interest, being 1100 m above ground level for Weissfluhjoch. Additional information can be found in Section 2.3 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).

en: cloud-modeling dmt-ccn-chamber cloud-droplets hygroscopicity sigma-w supersaturation ccn weissfluhjoch raclets

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: CCN, hygroscopicity, predicted cloud droplet numbers Weissfluhjoch

de:
Resource Title: CCN data Weissfluhjoch
    Size: 79738661 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ecb08acd-01d0-40e6-ac42-584aab9fc27f/resource/80b5fb31-8f82-4648-bc82-d11373bd186a/download/ccnspectrumwfj.csv
    Description: In-situ CCN measurements were conducted between February 24 and March 8 2019 at Weissfluhjoch. The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* Filtered CCN number concentrations (in cmˉ³) measured at 6 discrete supersaturations (SS) ranging from 0.09% to 0.74%. The name of each CCN column is indicative of the SS developed within the instrument.
* Instrument characteristics such as sample temperature (in °C) and pressure (in mbar)
* A code that refers to the reason of filtering.

Missing or filtered CCN values are indicated by "-999", while a declaration of each "Error_code" can be found in the following list:

_Error_code_:

__0000__: Measurements without error

__1000__: Period of transient operation after a supersaturation change

__2000__: Sharp change (decrease) in the room temperature housing the instrument, which induces a reset in column temperature

__3000__: Irregular values in the room temperature housing the instrument

__9999__: Missing data

de:
Resource Title: Hygroscopicity parameter Weissfluhjoch
    Size: 344260 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ecb08acd-01d0-40e6-ac42-584aab9fc27f/resource/5032c15d-ac68-4e8f-822b-3503a34db837/download/hygroscopicitywfj.csv
    Description: The aerosol hygroscopicity parameter is derived combining the CCN and SMPS size distribution data collected between February 24 and March 8 2019 at Weissfluhjoch. The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The instrument supersaturation (SS%)
* The calculated hygroscopicity parameter (kappa)
* The calculated critical dry diameter of the particles (Dcr) in nm.

Missing values are indicated by "-999".

de:
Resource Title: Predicted cloud droplet number concentrations Weissfluhjoch
    Size: 256123 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ecb08acd-01d0-40e6-ac42-584aab9fc27f/resource/f732a28e-10b1-411f-a497-b784e1b716af/download/predicted_droplets_wfj_kappa0.25.csv
    Description: In-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Weissfluhjoch station between February 24 and March 8 2019. For this, a hygroscopicity parameter of 0.25 is assumed, according to the CCN-derived values. The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010)
* The maximum predicted cloud parcel supersaturation (Smax%)
* The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS
* The predicted cloud droplet numbers (Nd) in cmˉ³
* The activation fraction (%)

ccn

display_name: ccn

cloud-droplets

display_name: cloud-droplets

cloud-modeling

display_name: cloud-modeling

dmt-ccn-chamber

display_name: dmt-ccn-chamber

hygroscopicity

display_name: hygroscopicity

raclets

display_name: raclets

sigma-w

display_name: sigma-w

supersaturation

display_name: supersaturation

weissfluhjoch

display_name: weissfluhjoch


en: Cloud droplet properties were predicted between February 24 and March 8 2019 for the measurement site Davos Wolfgang (1630 m a.s.l., LON: 9.853594, LAT: 46.835577). Droplet calculations are carried out with the physically based aerosol activation parameterization of Morales and Nenes (2014), employing the “characteristic velocity” approach of Morales and Nenes (2010). Aerosol size distribution observations required to predict the cloud droplet numbers and maximum in-cloud supersaturation are obtained from a Scanning Mobility Particle Size Spectrometer (SMPS) instrument deployed at Davos Wolfgang (https://www.envidat.ch/dataset/aerosol-data-davos-wolfgang). The required vertical velocity measurements are derived from the wind Doppler Lidar (https://www.envidat.ch/dataset/lidar-wind-profiler-data) deployed at the same station and are extracted from the first bin of the instrument, being 200 m above ground level. The hygroscopic properties of the particles measured at Davos Wolfgang could not be estimated, owing to a lack of concurrent CCN measurements. As a sensitivity test, droplet calculations are performed assuming two different values of the aerosol hygroscopicity parameter, 0.1 and 0.25, based on the analysis carried out for Weissfluhjoch. Additional information can be found in Section 2.3 [here](https://acp.copernicus.org/preprints/acp-2020-1036/).

en: sigma-w supersaturation raclets cloud-modeling cloud-droplets wolfgangpass

en: Predicted cloud droplet numbers Davos Wolfgang

de:
Resource Title: Predicted cloud droplet numbers (kappa=0.1) Davos Wolfgang
    Size: 312210 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e5a506af-7ff0-47ad-afe2-36de4b4e1ea9/resource/245ebcc2-4dd5-4339-9f76-b61411fa103b/download/predicted_droplets_wop_kappa0.1.csv
    Description: In-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Davos Wolfgang station between February 24 and March 8 2019. For this, as a sensitivity test, a hygroscopicity parameter of 0.1 is assumed, which is the lower limit determined from the analysis carried out for Weissfluhjoch (https://www.envidat.ch/dataset/ccn-hygroscopicity-predicted-cloud-droplet-numbers-weissfluhjoch). The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010)
* The maximum predicted cloud parcel supersaturation (Smax%)
* The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS
* The predicted cloud droplet numbers (Nd) in cmˉ³
* The activation fraction (%)

de:
Resource Title: Predicted cloud droplet numbers (kappa=0.25) Weissfluhjoch
    Size: 313834 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e5a506af-7ff0-47ad-afe2-36de4b4e1ea9/resource/b5c4c596-2dd4-45f4-b79f-61f91d82aad0/download/predicted_droplets_wop_kappa0.25.csv
    Description: In-situ measurements of aerosol size distributions along with updraft velocities collected from a wind Doppler Lidar are coupled with a state-of-the art droplet activation parameterization (Morales and Nenes, 2014) to determine the cloud droplet number and maximum in-cloud supersaturation that can potentially form over the Davos Wolfgang station between February 24 and March 8 2019. For this, as a sensitivity test, a hygroscopicity parameter of 0.25 is assumed, which is the upper limit determined from the analysis carried out for Weissfluhjoch (https://www.envidat.ch/dataset/ccn-hygroscopicity-predicted-cloud-droplet-numbers-weissfluhjoch). The data file contains:

* Date and time (DD/MM/YYYY hh:mm:ss) in UTC
* The wind-lidar derived standard deviation of updraft velocities (sigma-w) in m/s, used to apply the parameterization employing a single characteristic velocity (Morales and Nenes, 2010)
* The maximum predicted cloud parcel supersaturation (Smax%)
* The total in-situ aerosol number concentration (Naer) in cmˉ³, measured by the SMPS
* The predicted cloud droplet numbers (Nd) in cmˉ³
* The activation fraction (%)

wolfgangpass

display_name: wolfgangpass


en:
Observational data used to quantitatively describe the key elements describing avalanche danger: snowpack stability, the frequency distribution of snowpack stability, and avalanche size.
The data set consists of
- Rutschblock test results (Switzerland)
- Extended Column Test results (Switzerland, Norway)
- Avalanche occurrence data (Switzerland, Norway).
The data were extracted from the respective operational databases of the national avalanche warning services in Switzerland (WSL Institute for Snow and Avalanche Research SLF Davos, Switzerland) and Norway (The Norwegian Water Resources and Energy Directorate NVE).
For further information regarding the data, please refer to the publication or contact the author.

en: norway extended-column-test avalanche-danger switzerland avalanche-observations rutschblock-test

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: Stability tests, avalanche observations, Switzerland, Norway

de:
Resource Title: ECT data (Norway, Switzerland)
    Size: 241792 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ab401e00-0c6e-40c0-a24d-9e8716cb23da/resource/7618bcce-8c14-463d-8c4d-1dc4f5365085/download/ect_data_used_in_manuscript.csv
    Description:

de:
Resource Title: Rutschblock data (Switzerland)
    Size: 221029 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ab401e00-0c6e-40c0-a24d-9e8716cb23da/resource/30e5287d-6bc2-4810-bdc2-422976023486/download/rb_data_used_in_manuscript.csv
    Description:

de:
Resource Title: avalanche occurrence data (Norway, Sitzerland) - avalanche sizes per day and warning region
    Size: 1514094 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ab401e00-0c6e-40c0-a24d-9e8716cb23da/resource/23823196-1d56-47d1-b6bd-cb0add4dbd7b/download/avalsize_used_in_manuscript.csv
    Description:

de:
Resource Title: avalanche occurrence data (Norway, Sitzerland) - largest avalanche size per day and warning region
    Size: 256120 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/ab401e00-0c6e-40c0-a24d-9e8716cb23da/resource/accef652-f988-4d75-8aff-4c4c06c24a74/download/maxavalsize_used_in_manuscript.csv
    Description:

avalanche-danger

display_name: avalanche-danger

avalanche-observations

display_name: avalanche-observations

extended-column-test

display_name: extended-column-test

norway

display_name: norway

rutschblock-test

display_name: rutschblock-test

switzerland

display_name: switzerland


en: We present stated preference data for improved forest management measures from seven Swiss municipalities in the Cantons of Grisons and Valais. The data was collected between October 2019 and February 2020 using an online questionnaire. We invited 10289 households to participate and received 939 responses. The online questionnaire consisted of two main parts: (i) an online choice experiment and (ii) questions on the sociodemographic characteristics of the responding households. The choice experiment confronted households with twelve consecutive choice tasks. Each choice task consisted of three options with a varying degree of avalanche and rock fall risk reduction due to improved forest management. The options further differed with respect to the way the costs for the improved forest management are allocated and the way they are calculated. We additionally provided each of the options with a cost attribute, allowing for the calculation of willingness to pay measures. At the end of the choice experiment we asked five de-briefing questions and eight attitudinal questions. Additionally, we asked the responding households to state their willingness to take risks. The sociodemographic characteristics collected in the second part of the questionnaire allow for an analysis of the impact they have on the choices we observed in the first part of the questionnaire.

en: ecosystem-services discrete-choice nature-based-solutions resilience climate-change-adaptation

en: Stated preference data on the insurance value of forests in Switzerland

envi

de: Umwelt

en: Environment

de:
Resource Title: DIVES CE raw data
    Size: 3723776 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/9ef54da1-8ff8-4f10-b1c3-74a7d670ec26/download/dives_choice_data.csv
    Description: Raw data obtained from a choice experiment on the insurance value of forests

de:
Resource Title: DIVES data description
    Size: 136303 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/c8d1875a-3914-498d-9178-1d290a426f69/download/dives_data_description.pdf
    Description: Description of the raw data variables

de:
Resource Title: DIVES questionnaire
    Size: 1368317 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/fa79be39-5a6a-442f-a423-dd23113adb98/resource/9c762c10-20f7-4f75-ab5e-33b6373508a6/download/dives_questionnaire.pdf
    Description: English translation of the original survey questionnaire

climate-change-adaptation

display_name: climate-change-adaptation

discrete-choice

display_name: discrete-choice

ecosystem-services

display_name: ecosystem-services

nature-based-solutions

display_name: nature-based-solutions

resilience

display_name: resilience


en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for one meteorological station in Alpthal in Switzerland which is located within a natural coniferous forest (ALB) with Norway spruce (_Picea abies_; 180-230 yrs) as dominant tree species. The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Alpthal is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

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

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

de:
Resource Title: Forest station data (ALB)
    Size: 7164766 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3bb25386-f2d8-4fda-b7fa-86ea4be16535/resource/5109ff84-b671-41af-a243-34f1eda1fc88/download/albforest.csv
    Description:

de:
Resource Title: Data plot of the forest station (ALB)
    Size: 277476 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/3bb25386-f2d8-4fda-b7fa-86ea4be16535/resource/50d91991-2164-4f48-9bff-7dd1ecd9f379/download/albplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Site aerial photo (Alpthal)
    Size: 7983732 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/3bb25386-f2d8-4fda-b7fa-86ea4be16535/resource/c331a75a-6b89-4924-8896-6582b74c7284/download/alfront.jpg
    Description: Site aerial photo from the Alpthal forest station. Source: Google. 2016. Site aerial photo from the Alpthal forest station. Retrieved November 11, 2016, from https://www.google.ch/maps

format: jpeg

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed


en: High quality meteorological data are needed for long-term forest ecosystem research, particularly in the light of global change. The long-term data series published here comprises almost 20 years of measurements for two meteorological stations in Celerina in Switzerland where one station is located within a natural coniferous forest stand (CLB) with Swiss pine (_Pinus cembra_; 210-250 yrs) as dominant tree species. A second station is situated in the very vicinity outside of the forest (field station, CLF). The meteorological time series are presented in hourly time resolution of air temperature, relative humidity, precipitation, photosynthetically active radiation (PAR) and wind speed. Celerina is part of the Long-term Forest Ecosystem Research Programme (LWF) established and maintained by the Swiss Federal Research Institute WSL.

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

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

de:
Resource Title: Site photo of the field station (CLF)
    Size: 617034 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/eb7f96b4-7d02-4bf1-87c4-68fc8ced4453/resource/065216fc-60f4-4525-a432-ff0b2b2c6d89/download/clf.jpg
    Description: Site phote of the field station from the side.

de:
Resource Title: Data plot of the forest station (CLB)
    Size: 262914 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/eb7f96b4-7d02-4bf1-87c4-68fc8ced4453/resource/20445457-9718-4508-a507-4fed77aed50d/download/clbplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Data plot of the field station (CLF)
    Size: 324190 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/eb7f96b4-7d02-4bf1-87c4-68fc8ced4453/resource/8d220f28-48d8-48d5-9018-c5c5330cc260/download/clfplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

de:
Resource Title: Site aerial photo (Celerina)
    Size: 9781364 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/eb7f96b4-7d02-4bf1-87c4-68fc8ced4453/resource/44d469c0-a4b8-4fc3-9708-2fa8d24c3d0f/download/clfront.jpg
    Description: Site aerial photo from both Celerina stations. Source: Google. 2016. Site aerial photo from both Celerina stations. Retrieved November 11, 2016, from https://www.google.ch/maps

de:
Resource Title: Data plot of the forest station (CLB)
    Size: 7469200 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/eb7f96b4-7d02-4bf1-87c4-68fc8ced4453/resource/ecdab18b-b895-4b9d-842d-9b884cac9fab/download/clbforest.csv
    Description: Data file.

de:
Resource Title: Data plot of the field station (CLF)
    Size: 10948330 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/eb7f96b4-7d02-4bf1-87c4-68fc8ced4453/resource/0e36dac4-16c5-47a7-ac12-430087b2db27/download/clffield.csv
    Description: Data file.

de:
Resource Title: Site photo of the forest station (CLB)
    Size: 9755793 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/eb7f96b4-7d02-4bf1-87c4-68fc8ced4453/resource/1898ed2e-cd7e-4b2d-9185-20e2b54f3e65/download/clb.jpg
    Description: Site photo of the forest station from below (viewing upwards the slope).


en:
This data set includes synchronized and independently measured water discharge, bedload transport and at-a-point bedrock erosion data in 1 minute resolution and over more than 1.5 years from the Erlenbach stream hydrological observatory, a small (first-order) catchment in the pre-alpine valley Alptal in central Switzerland. These measurements are of high accuracy, which have been assessed in Beer, A.R. et al. 2015. Earth Surf. Proc., 40, 530-541. doi: 10.1002/esp.3652. For the artificial bedrock (a slab of weak concrete, fixed flush with the streambed) 6 additional consecutive spatial elevation data sets of 1 mm resolution have been surveyed that allow the local continuous erosion measurements to be extended to the patch scale.
This unique data set has been used to validate and calibrate bedrock erosion models for the process to intermediate scales of time (and space), whose performance then was assessed over extended time (up to bicentennial floods), based on available longer data sets of linked discharge and bedload transport (see related datasets).

en: bedload-transport modelling scaling surveying mountain-stream bedrock-erosion

en: Linked water discharge, bedload transport and bedrock erosion data set in 1minute resolution

envi

de: Umwelt

de:
Resource Title: Linked discharge, bedload and erosion data
    Size: 30554475 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/0894fa5c-5174-402c-99c4-23b10bb15024/resource/f3448762-eb7a-4757-8374-3dc924329af7/download/envidat-repository-data.csv
    Description: This is the synchronized water discharge [m3/s], bedload transport [kg/min] and vertical bedrock erosion of 3 sensors [mm] data in 1min resolution

de:
Resource Title: Mean bedrock slab erosion
    Size: 85 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/0894fa5c-5174-402c-99c4-23b10bb15024/resource/5ad00781-8f75-4457-ae4e-7ae2ddbbab28/download/envidat-mse.csv
    Description: This is the mean bedrock slab erosion data (MSE in [m]) for all 5 surveying epochs, based on millions of individual surface point surveys.

bedload-transport

display_name: bedload-transport

bedrock-erosion

display_name: bedrock-erosion

modelling

display_name: modelling

mountain-stream

display_name: mountain-stream

scaling

display_name: scaling

surveying

display_name: surveying


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch Anita C., Zimmermann, Stefan, Moser, Barbara, Schütz, Martin, Hagedorn, Frank, Firn, Jennifer, Fay, Philip A., Adler, Peter B., Biederman, Lori A., Blair, John M., Borer, Elizabeth T., Broadbent, Arthur A.D., Brown, Cynthia S., Cadotte, Marc W., Caldeira, Maria C., Davies, Kendi F., di Virgilio, Augustina, Eisenhauer, Nico, Eskelinen, Anu, Knops, Johannes M.H., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Prober, Suzanne M., Seabloom, Eric W., Siebert, Julia, Silveira, Maria L. , Speziale, Karina L., Stevens, Carly J., Tognetti, Pedro M., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Global impacts of fertilization and herbivore removal on soil net nitrogen mineralization are modulated by local climate and soil properties. Global Change Biology
Please cite this paper together with the citation for the datafile.
We assessed how the removal of mammalian herbivores (Fence) and fertilization with growth-limiting nutrients (N, P, K, plus nine essential macro- and micronutrients; NPK) individually, and in combination (NPK+Fence), affected potential and realized soil net Nmin across 22 natural and semi-natural grasslands on five continents. Our sites spanned a comprehensive range of climatic and edaphic conditions found across the grassland biome. We focused on grasslands, because they cover 40-50% of the ice-free land surface and provide vital ecosystem functions and services. They are particularly important for forage production and C sequestration. Worldwide, grasslands store approximately 20-30% of the Earth’s terrestrial C, most of it in the soil (Schimel, 1995; White et al., 2000).

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

en: Anthropogenic change and soil net N mineralization

ammonification

display_name: ammonification

climate

display_name: climate

fertilization

display_name: fertilization

global-change

display_name: global-change

grassland

display_name: grassland

herbivore

display_name: herbivore

mineralization

display_name: mineralization

nitrification

display_name: nitrification

nitrogen

display_name: nitrogen

nutrient-network

display_name: nutrient-network

soil

display_name: soil


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch, A. C.; Zimmermann, S.; Ochoa-Hueso, R.; Schütz, M.; Frey, B.; Firn, J. L.; Fay, P. A.; Hagedorn, F.; Borer, E. T.; Seabloom, E. W.; et al. Soil net nitrogen mineralisation across global grasslands. Nat. Commun. 2019, 10 (1), 4981 (10 pp.). doi.org/10.1038/s41467-019-12948-2
Please cite this paper together with the citation for the datafile.
We conducted coordinated measurements of realised and potential soil net Nmin, and assessed water holding capacity, bulk density, C and N content, texture, pH, pore space, microbial biomass, and archaeal (AOA) and bacterial (AOB) ammonia oxidiser abundance using identical materials and methods across 30 grasslands on six continents. The sites covered a globally relevant range of climatic and edaphic conditions. Climate data was obtained from worldclim - Global climate data https://www.worldclim.org/

en: soil-biology worldwide soil-chemistry soil nutrient-network grassland mineralization global

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

global

display_name: global

soil-biology

display_name: soil-biology

soil-chemistry

display_name: soil-chemistry

worldwide

display_name: worldwide


en:
Species range limits are expected to be dramatically altered under future climate change and many species are predicted to shift their distribution upslope to track their suitable conditions (i.e. based on their niche). However, there might be large discrepancies between the speed of the upward shift of the climatic niche and the actual migration velocity of the species, especially in long-lived organisms such as trees. Here, we compared the simulations of the upslope displacement of the bioclimatic envelope of 16 tree species inhabiting temperate mountain forests under ongoing and future climate change obtained by correlative species distribution models (SDMs) to those from a dynamic forest model accounting for dispersal, competition and demography. We then partitioned the discrepancy in upslope migration velocity between the SDMs and the dynamic forest model into different components by manipulating dispersal limitation, interspecific competition and demography.
This dataset contains the calibration and evaluation data used to create the bioclimatic envelope models, the predictors for the future scenarios (raster layers) and the bioclimatic input data used in the dynamic forest models used in the following publication (Scherrer et al. 2020).
Paper Citation:
Scherrer, D., Vitasse, Y., Guisan , A., Wohlgemuth, T., & Lischke, H. (2020). Competition and demography rather than dispersal limitation slow down upward shifts of trees’ upper elevation limits in the Alps. Journal of Ecology, in press.

en: climate-change-impact treemig sdm mountain-forest treeline

en: Factors slowing down upward shifts of trees’ upper elevation limits

envi

en: Environment

de:
Resource Title: Bioclimatic data for TreeMig
    Size: 577449363 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/e2a4c17d-2b94-4d5e-8b3d-85c670b94285/download/treemig_bioclim_1500-2500.zip
    Description: Bioclimatic input data used for the TreeMig models in Scherrer et al. 2020. Data spans the whole simulation period of 1500 until 2500 and covers three different climate change scenarios.

de:
Resource Title: Data for bioclimatic envelope model
    Size: 2745109 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/cbd5e811-0e38-45ed-b00e-fe7a86ed88db/download/species_environmental_calibrationevaluation.csv
    Description: This spreadsheet provides the data used to calibrate and evaluate the bioclimatic envelope models (SDMs) for our 16 target tree species. For copyright reasons the geographic coordinates of the points have been removed and only relevant information in the environmental space is provided.

de:
Resource Title: Bioclimatic predictors used for future projections
    Size: 4002741 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/50bcbe58-bdbb-4937-aa83-0b983a7ff64d/resource/dcd9614c-30b0-4d36-ab09-2196b3b0ef7c/download/predictors.zip
    Description: The seven bioclimatic predictors (mean annual temperature, minimum temperature of the coldest month, temperature of the driest quarter, annual sum of precipitation, sum of precipitation of the driest quarter, slope and topographic position (concave-convex) used for correlative SDMs in Scherrer et al. 2020. Data for climate is available for both current (1981-2010) and future (2020-49, 2045-74,2070-99).

climate-change-impact

display_name: climate-change-impact

mountain-forest

display_name: mountain-forest

sdm

display_name: sdm

treeline

display_name: treeline

treemig

display_name: treemig


en:
Ecologically meaningful predictors are often neglected in plant distribution studies, resulting in incomplete niche quantification and low predictive power of species distribution models (SDMs). Because environmental data are rare and expensive to collect, and because their relationship with local climatic and topographic conditions are complex, mapping them over large geographic extents and at high spatial resolution remains a major challenge. Here, we derived environmental data layers by mapping ecological indicator values (EIVs) in space by using a large set of environmental predictors in Switzerland.
This dataset contains the predictors (raster layers) generated and used in the following publication (Descombes et al. 2020). Only predictors for which we have the rights to share them are provided. Other datasets and predictors can be accessed via the original data provider. Details on the predictors and sources are fully described in the publication. The predictors are provided as GeoTIFF files, at 93 m spatial resolution and Mercator projection ("+proj=merc +lon_0=0 +k=1 +x_0=0 +y_0=0 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs"). The excel file (xlsx) provides a short description of the raster layers.
Paper Citation:
Descombes, P. et al. (2020). Spatial modelling of ecological indicator values improves predictions of plant distributions in complex landscapes. Ecography. (accepted)

en: soil-ph soil-moisture soil-mapping switzerland plants ecological-maps landolt ecological-indicator-values

de:
Resource Title: Description
    Size: 15032 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4ab13d14-6f96-41fd-96b0-b3ea45278b3d/resource/81c046c3-8d1d-45bc-a833-7d8240cebd12/download/predictors_description.xlsx
    Description: Description of the predictors provided in this dataset

de:
Resource Title: Predictors
    Size: 1022643006 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4ab13d14-6f96-41fd-96b0-b3ea45278b3d/resource/e0faab13-0d1b-492a-8539-5370d48b9e35/download/predictors.zip
    Description: Predictors generated and used in Descombes et al. (2020)

ecological-indicator-values

display_name: ecological-indicator-values

ecological-maps

display_name: ecological-maps

landolt

display_name: landolt

plants

display_name: plants

soil-mapping

display_name: soil-mapping

soil-moisture

display_name: soil-moisture

soil-ph

display_name: soil-ph

switzerland

display_name: switzerland