en:
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris). This dataset includes measure tree-ring width and tree-ring isotope chronologies (stable isotope ratios of non-exchangeable hydrogen δ2H,  oxygen δ18O, and carbon δ13C), for the Pfynwald experiment, including control trees, irrigation and irrigation-stop treatments until the year 2019.
This dataset contains all data on which the following publication below is based.
Please cite this paper together with the citation for the datafile.

en: scots-pine dendrochronology tree-ring-cellulose pinus-sylvestris tree-rings pfynwald isotopes

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Pfynwald 2019 - Dendrochronological and tree-ring isotope dataset

envi

de: Umwelt

de:
Resource Title: All_tissues_Isotopes_Pfynwald2019.csv
    Size: 43235 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/17c0a7f0-d19e-4e18-aaa8-96e9f1a1585c/resource/14910e94-cf63-44dc-9539-aabade0801a0/download/all_tissues_isotopes_pfynwald2019.csv
    Description: Isotope measurements of tree-level tissues for the vegetative season 2019.

de:
Resource Title: ChronoData_treeRingWidthIsotopes.csv
    Size: 80920 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/17c0a7f0-d19e-4e18-aaa8-96e9f1a1585c/resource/a64e928b-b690-4a5a-8c26-afcacff9d5bc/download/chronodata_treeringwidthisotopes.csv
    Description:

de:
Resource Title: Read me file.docx
    Size: 14171 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/17c0a7f0-d19e-4e18-aaa8-96e9f1a1585c/resource/90e7d0c0-b205-4c92-bb0b-eb1757fdd755/download/read-me-file.docx
    Description:

de:
Resource Title: ChronoData_treeRingWidthIsotopes.csv
    Size: 80920 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/17c0a7f0-d19e-4e18-aaa8-96e9f1a1585c/resource/fc48bd90-0a2e-4c70-a822-0e93e88ea7ad/download/chronodata_treeringwidthisotopes.csv
    Description:

dendrochronology

display_name: dendrochronology

isotopes

display_name: isotopes

pfynwald

display_name: pfynwald

pinus-sylvestris

display_name: pinus-sylvestris

scots-pine

display_name: scots-pine

tree-ring-cellulose

display_name: tree-ring-cellulose

tree-rings

display_name: tree-rings


$oid: OBSOLETE

en:
We used 2071 forest soil profiles to model a wide range of soil properties for the forested area of Switzerland. The spatial prediction is based on the principle of «digital soil mapping». This involves linking soil profiles with soil forming factors using statistical or machine learning methods.
A quantile regression forest (QRF) approach was applied to predict the following soil properties at six depth ranges: clay, gravel, sand, fine earth density, SOC. The depth ranges correspond to the standard depths of the [GlobalSoilMap.Net](https://www.isric.org/) specification: 0–5, 5–15, 15–30, 30–60, 60–100 and 100–200 cm. In addition, the total soil depth down to a non-root-permeable layer or solid rock soil thick was predicted. To quantify the uncertainty for each predicted pixel, the upper and lower limit of the 90% prediction interval derived from QRF was calculated. More details on the methods and results are described in Baltensweiler et al. 2021 and Baltensweiler et al 2022.
The soil property maps, and the uncertainty maps are provided as a GeoTIFF files at 25 m resolution. The excel file (xlsx) provides a short description of the raster layers.
**The soil and the uncertainty maps can be viewed in a simple web-GIS application available at:**
[www.wsl.ch/soilmaps](https://www.wsl.ch/soilmaps).

en: soil-properties switzerland dsm forest soil soil-ph soil-depth soc soil-texture

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.

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

en: Soil property maps for the Swiss forest

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

en: Environment

fr: Environnement

it: Ambiente

de:
Resource Title: clay_uncertainty_maps.zip
    Size: 105083064 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/1059745c-d83e-4f31-b723-07cce9fb2104/download/clay_uncertainty_maps.zip
    Description:

format: ZIP

de:
Resource Title: soc_maps.zip
    Size: 144898851 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/d80078ce-cf36-4590-8f01-e79de67f8b2f/download/soc_maps.zip
    Description:

de:
Resource Title: gravel_uncertainty_maps.zip
    Size: 89436761 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/d7b44437-7fc2-4750-a322-e26887a830c6/download/gravel_uncertainty_maps.zip
    Description:

de:
Resource Title: gravel_maps.zip
    Size: 80316578 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/c799d7c4-ae83-402d-976d-f23ef7021ad7/download/gravel_maps.zip
    Description:

de:
Resource Title: soc_uncertainty_maps.zip
    Size: 222671274 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/a214d4d2-72bd-451d-8fd5-a461b3a78b28/download/soc_uncertainty_maps.zip
    Description:

de:
Resource Title: depth_uncertainty_maps.zip
    Size: 69351779 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/b4dc7b7b-e800-45d4-8d03-997968710b56/download/depth_uncertainty_maps.zip
    Description:

de:
Resource Title: depth_map.zip
    Size: 37183065 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/7c58ee27-6410-41bc-b533-1c3842032878/download/depth_map.zip
    Description:

de:
Resource Title: pH_maps.zip
    Size: 129172696 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/639353b5-92a5-43d1-b0ec-4ce8ca7773c0/download/ph_maps.zip
    Description:

de:
Resource Title: sand_maps.zip
    Size: 65109556 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/1a2addd8-1b83-4502-b015-43face6c519b/download/sand_maps.zip
    Description:

de:
Resource Title: density_maps.zip
    Size: 172162688 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/d5a87cce-64aa-40db-aa02-589fb89c7984/download/density_maps.zip
    Description:

de:
Resource Title: pH_uncertainty_maps.zip
    Size: 192523204 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/c5bea000-de46-4b93-8de8-f246c6135b9f/download/ph_uncertainty_maps.zip
    Description:

de:
Resource Title: clay_maps.zip
    Size: 55978125 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/1616b34f-542a-4622-9bdd-e454500393c8/download/clay_maps.zip
    Description:

de:
Resource Title: SoilMaps_description.xlsx
    Size: 11429 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/5f08172f-967c-4aa3-beaf-a81338290f9e/download/soilmaps_description.xlsx
    Description:

format: XLS

de:
Resource Title: sand_uncertainty_maps.zip
    Size: 116700070 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/25bdf03f-226b-4274-8867-6553b2c12bd3/download/sand_uncertainty_maps.zip
    Description:

de:
Resource Title: density_uncertainty_maps.zip
    Size: 143926943 bytes
    Format: application/x-zip-compressed
    URL: https://www.envidat.ch/dataset/9a0b1daa-a4e0-4c62-b348-ec23354105c6/resource/5886ee25-bfb6-44a2-97a9-00d5c968d1c9/download/density_uncertainty_maps.zip
    Description:

dsm

display_name: dsm

forest

display_name: forest

soc

display_name: soc

soil

display_name: soil

soil-depth

display_name: soil-depth

soil-ph

display_name: soil-ph

soil-properties

display_name: soil-properties

soil-texture

display_name: soil-texture

switzerland

display_name: switzerland


en: This dataset comprised 254 historical (1937 – 1948) and resurveyed (2019 – 2022) vegetation relevés of beech-dominated forests sites in the Swiss Jura mountains. The data contains species lists as well as site information.

en: fagus-sylvatica forest-management ground-vegetation air-pollution climate-change forest

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Resurveyed vegetation releves of beech forests in the Swiss Jura Mountains

envi

de: Umwelt

de:
Resource Title: Site Information
    Size: 34729 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2bde3c93-9309-40e0-964e-d3b4f6f29804/resource/dfe9da2a-1d8e-4342-a4d7-82d5552e25c6/download/site_information.xlsx
    Description: This table contains information about the 254 forest sites used in the publication of Scherrer et al. 2024.

de:
Resource Title: Taxa Data
    Size: 1350953 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2bde3c93-9309-40e0-964e-d3b4f6f29804/resource/5e5dd383-4a1d-42a0-af8d-4c4aa5fbbbe3/download/species_data.xlsx
    Description: This table contains information about the individual taxa found in the historic and current vegetation relevés in Scherrer et al. 2024.

air-pollution

display_name: air-pollution

climate-change

display_name: climate-change

fagus-sylvatica

display_name: fagus-sylvatica

forest-management

display_name: forest-management

ground-vegetation

display_name: ground-vegetation


en:
Nuclear microsatellite markers and genotype data for _Trichopria ddrosophilae_
This data set comprises (i) the characteristics of a set of 21 species-specific nuclear microsatellites for PCR amplification in _Trichopria drosophilae_ (ii) and genotype data for samples collected in southern Switzerland (Canton of Ticino), with few reference samples from Canton of Vaud, southern Germany, and northern Italy (lab-reared population).
Markers were developed by Ecogenics GmbH, Balgach (Switzerland), using MiSeq Nano 2x250 v2 format (on a mix of 10 individuals). Multiplex PCR assays for multilocus genotyping were established by Ecological Genetics (WSL Birmensdorf), and population genetic analyses are found in Gugerli et al., Agrarforschung Schweiz 2019.

en: switzerland trichopria-drosophilae multilocus-genotypes biological-control simple-sequence-repeats population-genetics nuclear-microsatellite-markers drosophila-suzukii

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: Nuclear microsatellite markers for Trichopria drosophilae, parasitoid wasp on Drosophila suzukii

de:
Resource Title: Trichopria-drosophilae_nuclear-microsatellite-multilocus-genotype_dataset
    Size: 100131 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a69b5f91-0e30-45ba-9d42-06db76b549c4/resource/9998d313-6c9a-4abc-b83b-a5b0c31c07cb/download/trichopriadrosophilae_nucmicrosat_genotypes.csv
    Description: Multilocus genotypes (biallelic coding for 21 nuclear microsatellites) of Trichopria drosophilae described in Gugerli et al. Agrarforschung Schweiz 2019. Missing data denoted as '999'. Population codes (PopNo) are the following: 1, Vezia; 3, Contone ; 5, Davesco; 6, Corteglia; 7, Mezzana; 8, Stabio; 9, Gordola; 10, Sementina; 12, Brusata di Novazzano; 14, Monteggio; 16, Giubiasco; 17, ComoBP; 18, VD; 19, Weil_D; 20, Dossenheim; 21, BioPlanet_Como. Coordinates (CoordCH_E, CoordCH_N) refer to the Swiss coordinates system CH1903.

format: CSV

media_type: text/csv

de:
Resource Title: Trichopria-drosophilae_nuclear-microsatellite-markers_characteristics
    Size: 6134 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/a69b5f91-0e30-45ba-9d42-06db76b549c4/resource/9bd01ee4-8334-4d38-b64e-806fc839fa8c/download/trichopriadrosophilae_nucmicrosat_seqinfo.csv
    Description: Table comprising all pertinent information for multiplex PCRs of species-specific nuclear microsatellite makers for Trichopria drosophilae, comprising all 21 newly developed markers, details on full sequences with GenBank accession numbers, primer sequences (including labeling and pig-tails), and repeat motives. PCRs with respective annealing temperatures (AnnealingTemp) refer to Type-It Multiplex PCR Kit (Qiagen, Hilden, Germany).

biological-control

display_name: biological-control

drosophila-suzukii

display_name: drosophila-suzukii

multilocus-genotypes

display_name: multilocus-genotypes

nuclear-microsatellite-markers

display_name: nuclear-microsatellite-markers

population-genetics

display_name: population-genetics

simple-sequence-repeats

display_name: simple-sequence-repeats

trichopria-drosophilae

display_name: trichopria-drosophilae


en:
The data was generated during a landscape experiment performed on 69 plots in Sihlwald forest between 2016 and 2019. Branch bundles of different sizes consisting of beech branches were exposed in the forest for one year to be colonized by saproxylic beetles and later reared for one year in emergence traps. All beetles emerging from the branches were collected. Overall 244 branch bundles are included and we found 66 beetles species (23511 individuals) of which 43 were classified as saproxylic (20873 individuals).
 Species data (2 tables)
Two community matrices (including abundance): one for saproxylic beetles and one for all beetles. Beetles were classfied as saproxylic following an extended list of the list reported in Schmidl & Bussler (2004).
 Model data (1 table)
*Response variables*
Species richness and abundance of (saproxylic) beetles.
*Branch bundles*
Branch bundles consisted of 1, 3, 6 or 12 branches and each bundle size was installed at each of the 69 plots. The bundles consisted of standardized freshly cut beech branches (Fagus sylvatica) with a length of 80 cm and a diameter between 3 and 6 cm. Total surface and volume of each bundle is reported.
*Tree on which the bundle was installed*
Information on the tree to which the bundles were attached (tree species, dbh, distance and azimut from the plot center).
*Temperature and light availability*
Temperature (plot level) and light availability (bundle level) were calculated.
*Deadwood availability in the landscape*
Based on a map of lying dead wood, dead wood amount and isolation were calculated for concentric circles with a radius ranging from 20 to 200 m (in 10 m steps) around each branch bundle.
 Variable descriptions (1 table)

en: saproxylic-beetles habitat-availability dead-wood colonisation biodiversity habitat-heterogeneity sloss conservation forest-management

en: Beetle communities reared from beech branches and associated forest and environmental variables

de:
Resource Title: Community matrix (saproxylic beetles)
    Size: 23120 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/bdc548f5-00b1-4d6b-9b97-13d9016002e4/resource/1873211d-631c-493e-a998-103395d5de43/download/abundance_saproxylics.csv
    Description: Abundances of saproxylic beetle species for each branch bundle

de:
Resource Title: Variable description
    Size: 3005 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/bdc548f5-00b1-4d6b-9b97-13d9016002e4/resource/8113973a-149d-4514-8b03-11201870881c/download/variable_description.csv
    Description: Detailed description of the forest and environmental variables

de:
Resource Title: Community matrix (all beetles)
    Size: 34872 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/bdc548f5-00b1-4d6b-9b97-13d9016002e4/resource/30938085-43a4-43f0-bdde-2f57dd557064/download/abundance_all_beetles.csv
    Description: Abundances of all beetle species for each branch bundle

de:
Resource Title: Forest and environmental variables
    Size: 158262 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/bdc548f5-00b1-4d6b-9b97-13d9016002e4/resource/66dbaff5-2b06-4e82-9f92-9e40d298f938/download/data_branch_bundles.csv
    Description: Data on the branch bundle, forest and environmental variables

biodiversity

display_name: biodiversity

colonisation

display_name: colonisation

conservation

display_name: conservation

dead-wood

display_name: dead-wood

habitat-availability

display_name: habitat-availability

habitat-heterogeneity

display_name: habitat-heterogeneity

saproxylic-beetles

display_name: saproxylic-beetles

sloss

display_name: sloss


en:
The data are described in detail in the paper "Aerosol and dynamical contributions to cloud droplet formation in Arctic low-level clouds" (https://doi.org/10.5194/egusphere-2023-530, 2023).
This dataset includes particle number size distribution data from two DMPSs, chemical composition data from a Tof-ACSM, updraft velocity from an ultrasonic anemometer and a wind lidar, cloud droplet number concentration from a HOLIMO and meteorological data (wind speed and direction, temperature).
Note that aerosol composition from a filter pack system, organiccarbon massfrom a high volume sampler and eBC concentration from a MAAP are available on EBAS and therefore not included here

en: aerosol clouds arctic field-data vertical-wind-motion

en: NASCENT campaign data for Motos et al. 2023

de:
Resource Title: Particle number size distribution from DMPS_1
    Size: 9694000 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/365c4a6b-1b1b-4415-abd0-56681103355a/resource/5c4b9ea7-1edc-4542-ab7d-6ee9f1916eba/download/dmps1_particlenumbersizedistribution.xlsx
    Description: This file contains particle number size distribution from DMPS_1 (named Tintin2).
The midpoint diameter in nanometers is shown as the first row.
The distribution is in dN/dlog(dP)

Note: The midpoint diameters are changed starting from the 1st of May 2020

de:
Resource Title: particle number size distribution from DMPS_2
    Size: 1976317 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/365c4a6b-1b1b-4415-abd0-56681103355a/resource/ab1da2c4-f8de-4969-8c0b-fc7a995498b7/download/dmps2_particlenumbersizedistribution.xlsx
    Description: The files contains particle number size distribution from DMPS_2 (Named Nestor)
The size distributions are dN/dlog(dP)

de:
Resource Title: HOLIMO data
    Size: 364577 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/365c4a6b-1b1b-4415-abd0-56681103355a/resource/99fc5eee-d8fd-4853-8454-0acbaf158677/download/holimo_alldata.csv
    Description: This file contains data from a HOLIMO during balloon flights on November 8, 9, 10, 11, 12, 2019 and April 1st, 2020.

CDNC: cloud droplet number concentration
LWC: liquid water content
ICNC: ice crystals number concentration
IWC: ice water content
TNC: Total number concentration
TWC: Total water content
Z: Altitude of the flight

de:
Resource Title: Meteo data
    Size: 13063415 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/365c4a6b-1b1b-4415-abd0-56681103355a/resource/2c9391e8-fa1a-4c7a-a94c-40faefb1249a/download/meteodata.xlsx
    Description: This files contains temperature and rain (flagged) data from a meteorological station and wind speed and direction from an ultrasonic anemometer.

de:
Resource Title: uSonic updraft velocity data
    Size: 51770557 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/365c4a6b-1b1b-4415-abd0-56681103355a/resource/4d8508fe-719e-473d-955a-f088d1e350d2/download/sonic_nascent.csv
    Description: This file contains raw data from an ultrasonic anemometer (column "z" is the updraft velocity).

de:
Resource Title: Wind Lidar updraft velocity data
    Size: 26775087 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/365c4a6b-1b1b-4415-abd0-56681103355a/resource/25886aaa-954b-4c9c-880e-a1eaa0f4d458/download/windlidar_updraftvelocity.xlsx
    Description: This file contains updraft velocity data at 500 m altitude from a Wind Lidar.

de:
Resource Title: Tof-ACSM chemical composition data
    Size: 3036456 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/365c4a6b-1b1b-4415-abd0-56681103355a/resource/4e349ddc-32ff-46e1-88b3-79f2e208f3a1/download/dec2019-dec2020-tof-acsm-zeppelin_verifieddata.xlsx
    Description: This files contains chemical composition data from a Tof-ACSM

aerosol

display_name: aerosol

arctic

display_name: arctic

clouds

display_name: clouds

field-data

display_name: field-data

vertical-wind-motion

display_name: vertical-wind-motion


en:
Datasets and R scripts
~~~~~Datasets
Dataset_S1.csv: Distribution of species diversity in plant and vertebrate clades. Total clade level diversity and species diversity in tropical moist forests (TMF) across the Neotropics, Indomalaya and Afrotropics. Pantropical clades are found in all three TMF regions with at least one-third of the clades’ total diversity spread throughout these regions. Pantropical diversity disparity (PDD) clades show lower diversity in TMF in the Afrotropics than in the Neotropics and Indomalaya.
Dataset_S2.csv: Environmental and species richness data across 110 km x 110 km grid cells in Neotropical, Indomalayan and Afrotropical moist forest sites. Variables include x and y coordinates in the Behrmann equal area coordinate reference system, potential evapotranspiration (PET), mean annual temperature (MAT), mean annual precipitation (MAP), amphibian, mammal, bird and squamate reptile species richness and biogeographic region, as well as the first two principal components of a principal component analysis on PET, MAT and MAP (PC1, PC2).
Dataset_S3.csv: Global reconstructed paleo-temperature estimates and spatial coordinates across 200 million years at 170,000 year intervals at 2 degree spatial resolution.
Dataset_S4.csv: Gen3sis model parameters and biodiversity summary statistics. Summary statistics include the number of extant species, the number of extinct species, the total number of species, the number of species within the tropical moist forest biome boundaries in the Neotropics, the Afrotropics and Indomalaya, the pantropical index, and the pantropical disparity index, as well as the running time-step and diversity of unfinished simulations.
Dataset_S5.csv: Net relatedness index (NRI) values for vertebrate clades showing an observed disparity in pantropical diversity in the Neotropical, Indomalayan and Afrotropical moist forest regions and associated P-values. Positive values indicate phylogenetic clustering, whereas negative values indicate phylogenetic overdispersion.
~~~~~Scripts
Script_1 - GLS.R. R script to replicate the linear modelling analyses.
Script_2 - Gen3sis_config_template.R. R script to generate the configurations files to run the simulation experiment.
Script_3 - Gen3sis_config_creator.R. R script to generate the configurations files to run the simulation experiment.

en: paleoclimate plate-tectonics gen3sis pantropical-diversity-disparity mechanistic-modeling

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Data from: Earth history events shaped the evolution of uneven biodiversity across tropical moist forests

envi

de: Umwelt

de:
Resource Title: Script_3
    Size: 3070 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/b7783edd-a5bc-4854-8e7d-1698afc875b9/resource/128aaa9b-008c-40a9-91c2-661848a9d9d8/download/gen3sis_config_creator.r
    Description: Script used to generate the configurations files to run the simulation experiment.

de:
Resource Title: Dataset_S5
    Size: 1652 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b7783edd-a5bc-4854-8e7d-1698afc875b9/resource/eb72dfb6-ddcd-4363-8ce5-b605ea8bd1f3/download/dataset_s5.csv
    Description: Dataset_S5.csv: Net relatedness index (NRI) values for vertebrate clades showing an observed disparity in pantropical diversity in the Neotropical, Indomalayan and Afrotropical moist forest regions and associated P-values. Positive values indicate phylogenetic clustering, whereas negative values indicate phylogenetic overdispersion.

de:
Resource Title: Dataset_S2
    Size: 207900 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b7783edd-a5bc-4854-8e7d-1698afc875b9/resource/ec608c8b-edbc-40f8-8e11-bfa9d6462923/download/dataset_s2.csv
    Description: Dataset_S2.csv: Environmental and species richness data across 110 km x 110 km grid cells in Neotropical, Indomalayan and Afrotropical moist forest sites. Variables include x and y coordinates in the Behrmann equal area coordinate reference system, potential evapotranspiration (PET), mean annual temperature (MAT), mean annual precipitation (MAP), amphibian, mammal, bird and squamate reptile species richness and biogeographic region, as well as the first two principal components of a principal component analysis on PET, MAT and MAP (PC1, PC2). Environmental data is from CHELSA and ENVIREM and species richness summarised from published data (vertLife, MOL, IUCN, GARD).

de:
Resource Title: Script_2
    Size: 6345 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/b7783edd-a5bc-4854-8e7d-1698afc875b9/resource/e02e013f-3977-4387-89ce-e0ede683e7e1/download/gen3sis_config_template.r
    Description: Script used to generate the configurations files to run the simulation experiment.

de:
Resource Title: Script_1
    Size: 8705 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/b7783edd-a5bc-4854-8e7d-1698afc875b9/resource/f7e89750-58cc-4d19-a5d0-32cf41e7deef/download/gls.r
    Description: R script to replicate the linear modelling analyses.

de:
Resource Title: Dataset_S3
    Size: 147810332 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b7783edd-a5bc-4854-8e7d-1698afc875b9/resource/140b8a2f-120f-4975-afe6-e40927f50442/download/dataset_s3.csv
    Description: Dataset_S3.csv: - Paleoenvironmental reconstructions (details in the associated SI appendix) including latitude (y), longitude (x), and temperature data across 200 myrs at 170 kyr intervals.

de:
Resource Title: Dataset_S1
    Size: 8409 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b7783edd-a5bc-4854-8e7d-1698afc875b9/resource/dfbd6861-c745-4bf2-8988-3ddd790bcaad/download/dataset_s1.csv
    Description: Dataset_S1.csv includes species diversity counts for 237 clades in tropical moist forests (TMF) in the Neotropics (NeotropicalTMF), Indomalaya (IndomalayanTMF), Afrotropics (AfrotropicalTMF), All three TMF regions together (AllTMF), all non-TMF regions (NonTMF), and in total (Total). As well as whether the clade is pantropical  (Pantropical_clade) and shows the pantropical diversity disparity (PDD_clade). Pantropical clades are found in all three TMF regions with at least one-third of the clades’ total diversity spread throughout these regions. Pantropical diversity disparity (PDD) clades show lower diversity in TMF in the Afrotropics than in the Neotropics and Indomalaya.

de:
Resource Title: Dataset_S4
    Size: 46904 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b7783edd-a5bc-4854-8e7d-1698afc875b9/resource/993d0dae-ce0d-4b0f-bc22-427d2673cd13/download/dataset_s4.csv
    Description: Dataset_S4.csv: simulation model parameters and diversity summary statistics. Including rate of temperature niche evolution (Tev), temperature niche width (TW), divergence threshold (S), Dispersal probability distribution shape (WeibullShape), model identifier (model), and random seed (seed). Also includes information on number of extinct species (n_extinct), number of extant species (n_extant), total species (total_diversity), Spearman correlation coefficient between absolute latitude and species richness (latitude_richness_cor), and diversity in the Neotropics (neotropical_diversity), Indomalaya (indomalayan_diversity), Afrotropics (afrotropical_diversity). Also, whether the simulation generated pantropical distribution of species (pantropicality_index), or the pantropical diversity disparity (PDD_index). Finally what time step the simulation exited at (0 for complete simulations) and the number of species in the ending timestep (running_diversity).

mechanistic-modeling

display_name: mechanistic-modeling

paleoclimate

display_name: paleoclimate

pantropical-diversity-disparity

display_name: pantropical-diversity-disparity

plate-tectonics

display_name: plate-tectonics


en:
General description
Genomic data, habitat suitability raster files and scripts to run gen3sis to simulate cumulative divergence over time as approximation for genetic differentiation. Scripts for basic analysis of the simulations (e.g., create distance matrix from sampling locations) are provided, too. See original publication (doi link will be provided after publication) for details. The study area are the European Alps.
All data is uploaded as zipped file. Unzip them after the download and put all data in one folder.
See linked publications for correct citation of the data used, use of the data without correct citation is not allowed.
Corresponding author: Flurin Leugger, email: flurin.leugger@gmail.com
 Description of the data (content of the different zip folders)
 Abiotic data
 Glaciers
Folders with raster stacks with glaciated areas at 0.05° resolution in WGS84 projection from Seguinot et al. (2018).
Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., & Preusser, F. (2018). Modelling last glacial cycle ice dynamics in the Alps. _The Cryosphere, 12(10)_, 3265–3285. https://doi.org/10.5194/tc-12-3265-2018
 Rivers
* river_raster_elevation_class.tif: raster file (.tif) at 0.05° resolution and WGS84 projection with large rivers (scenario 2 from publication). The rivers (each cell) is classified according to the elevation of the cell.
Natural Earth. (2018). Rivers + lake centerlines version 4.1.0. Retrieved January 22, 2020, from https://www.naturalearthdata.com/downloads/50m-physical-vectors/50m-rivers-lake-centerlines
* river_raster_strahler_class_5km.tif: raster file at 0.05° resolution and WGS84 projection with medium rivers. The rivers are classified according to their Strahler order.
Food and Agriculture Organization of the United Nations. (2014). Rivers in Europe (Derived from HydroSHEDS). Retrieved January 29, 2020, from http://www.fao.org/geonetwork/srv/fr/google.kml?uuid=e0243940-e5d9-487c-8102-45180cf1a99f&layers=AQUAMAPS:37253_rivers_europe
 Fossil records
* chamois_fossil_combined_public.xlsx: list with fossil records until 20,000 years BP from Central Europe, see linked references for citation.
 Chamois occurrences
* chamois_occurrence.csv: Chamois presences from all sources used for the publication (see Suppl. mat. Table S1 for detailed information and correct citations of the data) aggregated at 0.05° resolution (~5km).
 Gen3sis
* config: folders with all configuration files used to run the simulations for the publication (different dispersal divergence parameters).
* scripts: scripts (and helper functions) to run the gen3sis simulations including scripts for the beginning of the subsequent analysis.
 Genetic
* populations.snps.light.vcf: vcf file of the sampled Northern chamois _(Rupicapra rupicapra)_ . The genomic data encompasses 20k SNPs (from ddRAD sequencing).
* Sequencing_final_without_slovakia.txt: sampling locations of Northern chamois _(Rupicapra rupicapra)_
 HSM
* habitat_suitability_hindcasting: Aggregated habitat suitability raster files (stacks, .grd files) at 0.05° resolution and WGS84 projection from 20,000 years BP until today in 100 year time steps. There are separate folders for each environmental variable scenario used (different terrain slope variables) an the different occurrence/pseudo-absence sampling strategy used.
* ODMAP_LeuggerEtAl2021-10-25.csv: ODMAP protocol

en: population-genetics geogenomics process-based-modeling range-dynamics landscape-genetics paleo-environmental-modeling

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.

en: EnviDat: the Environmental Data Portal

en: Simulating population divergence of Northern chamois in the Alps based on habitat dynamics

de:
Resource Title: Fossil records
    Size: 34185 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/801413db-9f0f-4147-99c2-8b36dd664e44/download/fossil_records.zip
    Description: Chamois fossil records with estimated time span and coordinates. Please see the sheet "references_data_sets" for the references and read the read_me.txt file prior to using the data.

media_type: application/zip

de:
Resource Title: Chamois occurrences
    Size: 136158 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/26583b50-5222-4e9c-a69d-062f60965a92/download/chamois_occurrence.csv
    Description: Coordinates (0.05° resolution) of chamois occurrences across the Alps. See Suppl. mat. Table S1 for more information and citation of the data sets used.

de:
Resource Title: Metadata
    Size: 3868 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/53239b17-86ec-411a-9909-9072d437aa64/download/metadata.txt
    Description: Metadata

format: TXT

media_type: text/plain

de:
Resource Title: Rivers and glaciers
    Size: 143478 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/c90c16c5-21ae-494e-b1bf-a367ab38e648/download/abiotic.zip
    Description: Input rasters required to set up gen3sis simulations

de:
Resource Title: Habitat suitability raster
    Size: 1908747503 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/ff87fdf4-c8d6-47d0-936a-b455c77c26d2/download/hsm.zip
    Description: Habitat suitability raster stacks (.grd) files for different terrain slope scenarios use (see main publication its supporting information for details) for Northern chamois until 20,000 years BP in 100 year time steps.

### Description of layer names:
* __prob__: habitat suitability ranging continuously from 0 (unsuitable) to 1 (very well suitable).
*__bin__: binary classification of habitat suitability based on TSS threshold optimization (see main publication and supporting information for details).
*__glm__: generalized linear model (to model and predict habitat suitability)
*__gam__: generalized additive model
*__gbm__: generalized boosted regression model
*__rf__: random forest
*__ensemble__: average of all 4 model types

de:
Resource Title: gen3sis simulations
    Size: 81389 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/599ce7b4-0994-42e4-a374-639012aa6c38/download/gen3sis.zip
    Description: Scripts to run gen3sis simulations, including configs used for the publication.

__1.2_gen3sis_input_generation.R__ creates the input files required for __2.2_gen3sis_simulation_chamois.R__, which is running the gen3sis simulations.
__ 3_gen3sis_track_simulation_over_time.R__ and __4_gen3sis_divergence_sampling_locations.R__ can be used to start the analysis.

de:
Resource Title: Genetic data Northern chamois across Alps
    Size: 29467114 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/880eb4ab-2150-44a9-a52a-985ba444a4ac/resource/f8447807-22a7-4219-a585-4b514421f2cb/download/genetic.zip
    Description: ddRADseq data (vcf file and sampling locations) of 449 Northern chamois (Rupicapra rupicapra) sampled across the European Alps

geogenomics

display_name: geogenomics

landscape-genetics

display_name: landscape-genetics

paleo-environmental-modeling

display_name: paleo-environmental-modeling

population-genetics

display_name: population-genetics

process-based-modeling

display_name: process-based-modeling

range-dynamics

display_name: range-dynamics


en:
This dataset contains all data and R codes (R Development Core Team, https://www.R-project.org) used in the following publication: Donati GFA, Parravicini V, Leprieur F, Hagen O, Gaboriau T, Heine C, Kulbicki M, Rolland J, Salamin N, Albouy C, Pellissier L. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted by Ecography in August 2019. When using this data and R scripts the above publication should be cited.
The interaction of habitat dynamics with species dispersal abilities could generate gradients
in species diversity and prevalence of life-history and ecological traits, when the latter are associated with dispersal potential. In this dataset, we use a spatial mechanistic model of speciation, extinction and dispersal, constrained by a dispersal parameter. This model allows to simulate the interplay between reef habitat dynamics over the past 140 million years and dispersal, shaping lineage diversification history and global assemblage composition of over 6000 tropical reef fish species. Global trait distribution data of tropical reef fish are used to evaluate the congruence between simulations and observations.

en: biodiversity dispersal traits ecology reef-fish

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Simulated and observed prevalence of dispersal-related traits in tropical reef fish assemblages worldwide

envi

de: Umwelt

en: Environment

de:
Resource Title: Main text figures
    Size: 15475 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/c0870690-1143-4ac8-957a-2bfd2d6c96e3/download/donati_et_al_dispersal_global_prevalence_traits_figures_main_text.r
    Description: R Script used for figures in main text in: Donati et al. 2019: "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

de:
Resource Title: Coral reef grid cells (shape, dbf, etc. files)
    Size: 12441 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/7b6a4981-0f00-432c-9ed8-502c43126613/download/grid_4326_files.zip
    Description: Grid cells of 5 × 5°, corresponding to circa 555 × 555 km at the Equator (see Parravicini et al. 2013, Leprieur et al. 2016)

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef  sh species richness. – Ecography 36: 1254–1262.

Leprieur, F. et al. 2016. Plate tectonics drive tropical reef biodiver- sity dynamics. – Nat. Commun. 7: 11461.

de:
Resource Title: Global coast files from https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html
    Size: 566907 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/a14c6b25-180d-42d8-a863-e13574487a03/download/coast_files.zip
    Description: Global coast files from https://www.ngdc.noaa.gov/mgg/shorelines/gshhs.html used in the Figures

de:
Resource Title: Global simulated distribution of species under a range of dispersal parameter values
    Size: 30514436 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/471350ea-cbf8-409e-a8cc-55a84fe4a8cd/download/matrix_sim_sprichness.txt
    Description: Global distribution of simulated species richness under a range of dispersal parameter values d
d ∈ [1.75°: 5.45°].

de:
Resource Title: Donati et al. main script
    Size: 9040 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/e00d3cf8-4845-4de0-8eb6-33243506c274/download/donati_et_al_dispersal_global_prevalence_traits_main.r
    Description: Main script used in : Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages"
accepted in Ecography, August 2019

de:
Resource Title: Functions used in R scripts in: Donati et al. 2019 "A process-based-model supports an association between  # dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019
    Size: 8444 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/eed003d7-c661-42ab-bafb-c2fd2290d94e/download/donati_et_al_dispersal_global_prevalence_traits_functions.r
    Description: Functions for Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography, August 2019.

de:
Resource Title: Global species distribution of tropical reef fish species
    Size: 3224423 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/f554c199-621c-4c60-9566-e3ae1d9479b0/download/fishnet_gaspar_code.csv
    Description: Each species corresponds to a "Gaspar_code" gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013) and is linked to a specific Fishned ID corresponding to a specific Latitude and Longitude.

de:
Resource Title: Dispersal parameter value d per simulation
    Size: 124575 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/f895d8b6-3eff-4479-892b-8cc86b476a22/download/d_param_sim.txt
    Description: Dispersal parameter value d per simulation starting with a minimum dispersal value, where each species is able to colonise each adjacent cell, and ending with the value of d for which all the extant habitats, including the most remote Pacific islands, have been colonised (d ∈ [1.75°: 5.45°]).

de:
Resource Title: Tropical reef fish trait data
    Size: 428195 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/a5227230-5514-4bdc-b81d-b38d5aaea5cb/download/sp_ecological_trait_data.csv
    Description: Species trait (i.e. adult body size, home range mobility behaviour, circadian activity and schooling) data gathered from the General Approach to Species Abundance Relationships (GASPAR) database (Kulbicki et al. 2013, Parravicini et al. 2013).

Kulbicki, M. et al. 2013. Global biogeography of reef  shes: a hier- archical quantitative delineation of regions. – PLoS One 8: e81847.

Parravicini, V. et al. 2013. Global patterns and predictors of tropi- cal reef  sh species richness. – Ecography 36: 1254–1262.

To complement the trait data with Pelagic Larval Duration information refer to the following publication:

Luiz, Osmar J., et al. "Adult and larval traits as determinants of geographic range size among tropical reef fishes." Proceedings of the National Academy of Sciences 110.41 (2013): 16498-16502.

In Donati et al. "A process-based model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages" accepted in Ecography in August 2019, we used the PLD gathered from Luiz et al. 2013 as described in the methods - section "Species trait data".

de:
Resource Title: Input for the Global distribution maps for proportions of species richness for (a) simulated dispersal parameter value (b) observed dispersal-related traits
    Size: 45638 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/2115cb5b-7557-4897-8892-f109a15eb0c1/download/grid_pl_sim_obs_trait_prop_cong.csv
    Description: Geographic distribution data (species richness and proportions of high/low dispersal-related traits) on predominantly low dispersing and high dispersing species expected based on the simulations, and those where low- and high- dispersal related traits values are observed for the five investigated traits.

de:
Resource Title:
    Size: 17762 bytes
    Format: application/x-r-data
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/95d1d60f-7dc9-4c51-992e-baaca842c296/download/cong_sim_obs_trait_prop.rdata
    Description: Input for spatial congruence test overlap between proportions of low and high  dispersal and observed low- and high- dispersal-related traits in assemblages (30-50% threshold). see Table 2.

de:
Resource Title: Simulated rates of speciation and extinction under a range of dispersal parameters.
    Size: 8135 bytes
    Format: application/x-rds
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/3b9df6ee-3cc3-4760-a51c-8241db1fa78c/download/rates.rds
    Description: Simulated rates of speciation and extinction under a range of dispersal parameters. Net diversification rates are calculated from the difference between speciation and extinction rates. This data allows the creation of Figure A4 in Supporting information, Appendix 1.

de:
Resource Title: Supplementary material Appendix 1 Figures
    Size: 26270 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/6b06ad48-bd85-47a8-b478-0850b6def1a4/resource/2946e2c8-9f5c-4ed8-bce2-13069fcb6faf/download/donati_et_al_dispersal_global_prevalence_traits_figures_supp_mat.r
    Description: Supplementary material Appendix 1 Figures illustrated in Donati et al. 2019 "A process-based-model supports an association between dispersal and the prevalence of species traits in tropical reef fish assemblages". accepted in Ecography, August 2019

biodiversity

display_name: biodiversity

dispersal

display_name: dispersal

ecology

display_name: ecology

reef-fish

display_name: reef-fish

traits

display_name: traits


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

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

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

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

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

balanced-sampling

display_name: balanced-sampling

habitat

display_name: habitat

multi-stage

display_name: multi-stage

unequal-probability

display_name: unequal-probability

vegetation

display_name: vegetation


en:
Tree-ring data and tree location from 470 European beech trees (Fagus sylvatica L.) located in the northern part of Switzerland.  278 trees showed drought-induced premature leaf discoloration and shedding in summer 2018 and 192 showed normal leaf fall. The trees were selected from the "1000-Beech-Project" published by Frei et al. 2022  and the data was analyzed in Neycken et al 2023 (in preparation). The corresponding crown data are archived in the EnviDat data portal https://doi.org/10.16904/envidat.422 (Frei et al. 2023). All other data generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Publications related to original data set and crown data:
Wohlgemuth, T., Kistler, M., Aymon, C., Hagedorn, F., Gessler, A., Gossner, M.M., Queloz, V., Vögtli, I., Wasem, U., Vitasse, Y., Rigling, A., 2020. Früher Laubfall der Buche während der Sommertrockenheit 2018: Resistenz oder Schwächesymptom? Schweizerische Zeitschrift fur Forstwesen 171, 257–269. https://doi.org/10.3188/szf.2020.0257
Frei, E.R., Gossner, M.M., Vitasse, Y., Queloz, V., Dubach, V., Gessler, A., Ginzler, C., Hagedorn, F., Meusburger, K., Moor, M., Samblás Vives, E., Rigling, A., Uitentuis, I., von Arx, G., Wohlgemuth, T., 2022. European beech dieback after premature leaf senescence during the 2018 drought in northern Switzerland. Plant Biol J 24, 1132–1145. https://doi.org/10.1111/plb.13467
Publication related to tree-ring data and growth analysis:
Neycken et al 2023 (in preparation)

en: tree-ring switzerland dieback beech forest fagus-sylvatica drought

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

envi

de: Umwelt

de:
Resource Title: Tree-ring data of European beech with premature leaf discoloration in 2018 and beech with normal leaf fall (.RWL)
    Size: 369099 bytes
    Format: No Info
    URL: https://www.envidat.ch/dataset/e90ad7cc-f171-4a4e-a0c2-170fd7c1325b/resource/8863be79-60a8-4a3d-bd95-d515222c6ad0/download/tree-ring-beech-neycken-et-al.-2023.rwl
    Description: Tree-ring data of the selected beech trees in rwl-format.

de:
Resource Title: Tree information
    Size: 39929 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e90ad7cc-f171-4a4e-a0c2-170fd7c1325b/resource/9b7feb14-9623-44b8-856d-92e810441802/download/tree-data-beech-neycken-et-al.-2023.csv
    Description: Table giving tree location, diameter at breast height and mortality status.

de:
Resource Title: Additional information to data
    Size: 4686 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/e90ad7cc-f171-4a4e-a0c2-170fd7c1325b/resource/aa8a96f7-3382-40c7-8f52-fb0682da2cf0/download/additional-info-to-data-neycken-et-al.-2023.txt
    Description: Additional information to the data explaining data collection and variables.

de:
Resource Title: Tree-ring data of European beech with premature leaf discoloration in 2018 and beech with normal leaf fall (.CSV)
    Size: 381368 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/e90ad7cc-f171-4a4e-a0c2-170fd7c1325b/resource/4e1a2793-6469-45bf-923f-560aac1bf25f/download/tree-ring-beech-neycken-et-al.-2023.csv
    Description: Tree-ring data of the selected trees as .csv

beech

display_name: beech

dieback

display_name: dieback

drought

display_name: drought

fagus-sylvatica

display_name: fagus-sylvatica

forest

display_name: forest

switzerland

display_name: switzerland

tree-ring

display_name: tree-ring


en:
Summary
* Dataset of daily inflow to Luzzone reservoir in Ticino, Switzerland
* R scripts used to generate return levels for low reservoir inflow, low precipitation, high inflow, and extreme high precipitation based on various methods from extreme value analysis
 Data
The dataset included here is the "natural" reservoir inflow for the Luzzone reservoir.
Additional analyses were conducted on daily total precipitation of 6 meteorological stations (abbreviations: TIOLI, TIOLV, COM, VRN, VLS, ZEV). These precipitation data are freely available for teaching and research from the MeteoSwiss IDAweb portal (https://www.meteoswiss.admin.ch/services-and-publications/service/weather-and-climate-products/data-portal-for-teaching-and-research.html).
 Codes
R scripts used to determine return levels of the data set are included for both extreme high events and low events. The scripts include the following methods for calculating return levels:
* GEV (Generalized Extreme Value)
* GPD and GPDd (Generalized Pareto Distribution including declustered version)
* eGPD (extended Generalized Pareto Distribution)
* MEV (Metastatistical Extreme Value)

en: reservoir-inflow low-flow extreme-values return-periods alpine-precipitation

en: Data and Code on Extreme Inflow and Lowflow Analysis for Alpine Reservoirs

de:
Resource Title: Daily Luzzone Reservoir Inflow 01-01-2000 to 31-12-2019
    Size: 261834 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/b138fae4-b287-4af6-b666-ef860ac593ff/resource/f3b117de-ba26-42dd-b958-e46e826222e4/download/luz.csv
    Description: Daily total water inflow to Luzzone reservoir. Natural inflow (LUZ_inflow_raw) is back-calculated based on daily water level in reservoir (removing hydropower inputs and spills). Linear interpolation between daily values is used to bring all inflow values into positive space (LUZ_inflow_intrp).

de:
Resource Title: R codes for Extreme Values Analysis
    Size: 35946 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/b138fae4-b287-4af6-b666-ef860ac593ff/resource/6647b3fe-62a5-461b-8b22-be7bcdfb51be/download/r_codes.zip
    Description: Zip file containing R codes for running extreme value analyses for high precipitation and inflow events as well as code for determining return levels of low inflow and low precipitation events

alpine-precipitation

display_name: alpine-precipitation

extreme-values

display_name: extreme-values

low-flow

display_name: low-flow

reservoir-inflow

display_name: reservoir-inflow

return-periods

display_name: return-periods


en:
The data set contained in this repository was used in the analysis by Mayer et al. (2023):
Mayer, S. I., Techel, F., Schweizer, J., and van Herwijnen, A.: Prediction of natural dry-snow avalanche activity using physics-based snowpack simulations, EGUsphere, https://doi.org/10.5194/egusphere-2023-646, 2023.

en: avalanche-size natural-avalanches machine-learning snowpack-model avalanche

en: Data-set for prediction of natural dry-snow avalanche activity and avalanche size using physics-based snowpack simulations

de:
Resource Title: dataForAvalancheSizeModelDevelopment.csv
    Size: 423741 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/49e9e29b-683a-4784-a3ab-0c02d2e0902b/download/dataforavalanchesizemodeldevelopment.csv
    Description: Data set AV2 used for training the avalanche-size estimator (Sections 2.1.2 and 3.2 in Mayer et al.)

de:
Resource Title: dataForAvalancheDayModelDevelopment.csv
    Size: 1584694 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/961c07d9-5f7e-4c7b-9073-e2b31b6dab28/download/dataforavalanchedaymodeldevelopment.csv
    Description: Data set AV1 was used for training the avalanche-day classifier (Sections 2.1.1, 2.2, and 3.1 in Mayer et al.).

de:
Resource Title: dataForValidationDavos.csv
    Size: 74355 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/38836706-8b98-47a5-9f94-a3b5e88553e2/download/davos_validation.csv
    Description: Data set AV3 was used for validation of the avalanche-day classifier (Sections 2.1.3 and 3.3(1) in Mayer et al.).

de:
Resource Title: dataForValidationWithDangerLevels.csv
    Size: 34614625 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/28660c6d-68ce-484d-a7d7-24d7a612f392/resource/fac61ade-ba4c-40bc-bc90-f47c763e153c/download/dataforvalidationwithdangerlevels.csv
    Description: Data set DL was used for validation of the avalanche-day classifier and the avalanche-size estimator. The data set contains the quality-checked danger levels merged with the respective SNOWPACK simulations (Sections 2.3 and 3.3(2) in Mayer et al.).

avalanche

display_name: avalanche

avalanche-size

display_name: avalanche-size

machine-learning

display_name: machine-learning

natural-avalanches

display_name: natural-avalanches

snowpack-model

display_name: snowpack-model


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Guidi, C., Lehmann, M.M., Meusburger, K., Saurer, M., Vitali, V., Peter, M., Brunner, I., Hagedorn, F. (accepted). Tracing sources and turnover of soil organic matter in a long-term irrigated dry forest using a novel hydrogen isotope approach. Soil Biology and Biochemistry.
Please cite this paper together with the citation for the datafile.
Data from a 17-year-long irrigation experiment (Pfynwald, Switzerland) in a naturally dry forest dominated by 100-year-old pine trees (Pinus sylvestris).
Data include: (1) Isotopic composition (stable isotope ratios of non-exchangeable hydrogen δ2Hn, carbon δ13C, and nitrogen δ15N) and Hn, C and N concentrations in SOM sources (fresh Pinus sylvestris needles, litter layer, fine roots), bulk SOM (organic layer, 0-2 cm, 2-5 cm, 60-80 cm), particle-size fractions (depths:  0-2 cm, 2-5 cm; cPOM: coarse POM; fPOM: fine POM; MOM: mineral-associated organic matter); (2) Mass loss, δ2Hn values and Hn concentrations of Pinus sylvestris fine roots and needle litter (litter decomposition experiments from Herzog et al. 2019, ISME journal, and Guidi et al. 2022, Global Change Biology); (3) Relative source contribution (foliar litter, fine roots, and mycelia) to bulk SOM and fractions estimated using Bayesian mixing models (R package MixSIAR, version 3.1.12) with irrigation and depth as fixed factors. The models were informed with δ13C, δ15N and δ2Hn values and C, N, and Hn concentrations of foliar litter, roots, and mycelia as input sources. Given the kinetic isotope fractionation occurring during microbial SOM decomposition, the mixing models were informed with isotope fractionation factors, representing the isotope enrichment from sources to soils; (4) Fraction of new organic Hn (Fnew) over the irrigation period, calculated using a simple end-member mixing model according to Balesdent et al. (1987) and mean residence time estimated as MRT = - t / ln (1 - Fnew), with t time in years since irrigation started and assuming single-pool model with first-order kinetics.

en: stable-isotopes soil-organic-matter-dynamics bayesian-mixing-models soil--fractions non-exchangeable-hydrogen litter-decomposition

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: Sources and turnover of soil organic matter in Pfynwald irrigation experiment

bayesian-mixing-models

display_name: bayesian-mixing-models

litter-decomposition

display_name: litter-decomposition

non-exchangeable-hydrogen

display_name: non-exchangeable-hydrogen

soil--fractions

display_name: soil--fractions

soil-organic-matter-dynamics

display_name: soil-organic-matter-dynamics

stable-isotopes

display_name: stable-isotopes


en: Quantifying the rates of soil redistribution worldwide poses a significant challenge, which has been addressed using various methods such as direct sediment measurements, models, and the use of isotopic, geochemical, and radionuclide tracers. Among these tracers, the isotope of Plutonium, specifically 239+240Pu, is a relatively recent addition to the study of soil redistribution. However, there is still a lack of direct validation for 239+240Pu as a tracer for soil redistribution. To address this gap, we conducted a study in Southern Italy using a unique sediment yield dataset that extends back to the initial fallout of 239+240Pu. Soil samples were collected from the catchment area as well as undisturbed reference sites, and 239+240Pu was extracted, measured using ICP-MS, and converted into soil redistribution rates.

en: tracking soil-degradation sediment-transport soil-erosion fallout-radionuclides

en: Plutonium-239+240 and sediment yield data for a small catchment in Southern Italy

envi

en: Environment

de:
Resource Title: Reference Pu samples
    Size: 17622 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/9df42ccf-0380-4925-a698-1466d0c2cb20/resource/059d2510-a522-411b-bb6d-4e8f1129c6b0/download/pu_reference_meusburger.xlsx
    Description: We have collected 19 Bulk soil samples in and 3 depth incremental soil profiles in undisturbed reference locations.

de:
Resource Title: Erosion Pu samples
    Size: 4842 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/9df42ccf-0380-4925-a698-1466d0c2cb20/resource/bb11e07d-abd4-43dd-9eaf-31f9f17665b6/download/pu_erosion_meusburger.csv
    Description: We have measured Pu-239+240 in soil samples at erosional sites in the catchment.

fallout-radionuclides

display_name: fallout-radionuclides

sediment-transport

display_name: sediment-transport

soil-degradation

display_name: soil-degradation

soil-erosion

display_name: soil-erosion

tracking

display_name: tracking


en:
What are the research data files about: Raw data on perfomance (dry weight, development and mortality) of emerald ash borer larvae used in published bioassays. Raw data on ash dieback leasion lenghts. Raw data on untargeted and targeted specialized ash metabolites.
Which methods were used: Bioassays in greenhouses and climate chambers to collect data on emerald ash borer and ash dieback perfomance. Phytochemical analyses on ash phloem for quantifiying specialized metabolites.
When and where was the data created / extracted: Summer 2020-2021

en: defense-chemistry cross-resistance fraxinus invasive-species emerald-ash-borer intraspecific-variation ash-dieback

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: Raw data-Publication cross-resistance in ash - New Phytologist

ash-dieback

display_name: ash-dieback

cross-resistance

display_name: cross-resistance

defense-chemistry

display_name: defense-chemistry

emerald-ash-borer

display_name: emerald-ash-borer

fraxinus

display_name: fraxinus

intraspecific-variation

display_name: intraspecific-variation

invasive-species

display_name: invasive-species


en: The dataset includes leaf spectroscopy, leaf traits and genetic data for oriental and european beech trees at two mature forest sites (Allenwiller in France and Wäldi in Switzerland) sampled in summer 2021 and 2022 for top and bottom of canopy leaves.

en: species-classification assisted-migration fagus-sylvatica-subsp-orientalis fagus-sylvatica-l predictive-provenancing spectroscopy traits assisted-gene-flow

en: Oriental and European beech spectral, traits and genetics data

de:
Resource Title: Allenwiller genetic data
    Size: 20582 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b4dc3609-9147-4857-9074-fa13e299b65c/resource/94ad6524-13ef-4866-b74f-e13cf95ef7c8/download/genetic_data_allenwiller.xlsx
    Description:

de:
Resource Title: Wäldi genetic data
    Size: 19505 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b4dc3609-9147-4857-9074-fa13e299b65c/resource/0df9b293-4846-4868-a1df-331cd202e098/download/genetic_data_waldi.xlsx
    Description:

de:
Resource Title: Wäldi spectral and traits data
    Size: 1983730 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b4dc3609-9147-4857-9074-fa13e299b65c/resource/19b90c28-f00f-42b7-942d-133ac9295d84/download/spectral_trait_data_waldi.xlsx
    Description: Orietnal and European beech leaf spectral and trait data for top and bottom of canopy leaves

de:
Resource Title: Allenwiller spectral and traits data
    Size: 3291434 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/b4dc3609-9147-4857-9074-fa13e299b65c/resource/24cfc8e6-1405-477f-a4cb-4c8fa89f52ee/download/spectral_trait_data_allenwiller.xlsx
    Description: Orietnal and European beech leaf spectral and trait data for top and bottom of canopy leaves

assisted-gene-flow

display_name: assisted-gene-flow

assisted-migration

display_name: assisted-migration

fagus-sylvatica-l

display_name: fagus-sylvatica-l

fagus-sylvatica-subsp-orientalis

display_name: fagus-sylvatica-subsp-orientalis

predictive-provenancing

display_name: predictive-provenancing

species-classification

display_name: species-classification

spectroscopy

display_name: spectroscopy

traits

display_name: traits


en:
This dataset includes the processed data of the glide-snow avalanche activity and dynamics on Dorfberg (Davos, Switzerland) covering seasons 2008/09 to 2021/22. This dataset was described in the research article:
Fees, A., van Herwijnen A., Altenbach, M., Lombardo, M., Schweizer, J.: Glide-snow avalanche characteristics at different time-scales extracted from time-lapse photography, Annals of Glaciology, 91
We extracted the dynamics of opening glide-cracks and the glide-snow avalanche activity from time-lapse photographs. Glide-snow avalanches were separated into surface and interface events using the liquid water content which was simulated with SNOWPACK at 10 virtual stations on Dorfberg.

en: snowpack-simulation avalanche avalanche-activity glide-snow-avalanche time-lapse-photography

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Glide-snow avalanche activity on Dorfberg, Davos, Switzerland

envi

de: Umwelt

de:
Resource Title: SNOWPACK simulations
    Size: 719769784 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d6c7a578-6317-49f3-8ba5-71f62b5b6610/resource/73dee7b2-a419-4fd2-ac0e-585bc0138d90/download/snowpack.zip
    Description: SNOWPACK simulations (.pro and .smet) covering season 2008/09 to 2021/22 at 10 virtual locations on Dorfberg. The locations correspond to the most common glide-snow avalanche paths.

de:
Resource Title: Glide-snow avalanche activity
    Size: 88583 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/d6c7a578-6317-49f3-8ba5-71f62b5b6610/resource/0aca99e1-7b3d-492f-a7bb-2756e5b74bbd/download/events.csv
    Description: Table that contains all glide-snow avalanche events that were detected in time-lapse photographs (season 2008/09 to 2021/22). The columns are explained in the README.txt

de:
Resource Title: README
    Size: 1996 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/d6c7a578-6317-49f3-8ba5-71f62b5b6610/resource/26a702a9-37e6-4dc9-9ce9-e7a223d73bff/download/readme.txt
    Description: README.txt explaining the dataset and columns of tables in more detail.

de:
Resource Title: Glide distances for opening glide-cracks
    Size: 512266 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/d6c7a578-6317-49f3-8ba5-71f62b5b6610/resource/7ee75315-9399-48fe-b5b1-e3ef1d2f0774/download/metadata.zip
    Description: This folder contains all glide-cracks where glide-distances were extracted from time-lapse photographs. Glide-distances were calculated in x-direction (width) and y-direction (downslope, length) by georeferencing the images.

avalanche

display_name: avalanche

avalanche-activity

display_name: avalanche-activity

glide-snow-avalanche

display_name: glide-snow-avalanche

snowpack-simulation

display_name: snowpack-simulation

time-lapse-photography

display_name: time-lapse-photography


en:
Dataset used to test the potential role of gone-wild grapevines (GWGV) in forests of Southern Switzerland as a source of Flavescence dorée phytoplasma (FDp) inoculum and as a habitat for its main and alternative vectors, -i-Scaphoideus titanus-/i- and -i-Orientus ishidae-/i-. In the first phase, GWGV were located and sampled to test their FDp status. In addition, a set of chromotropic traps were placed to monitor the presence and abundance of FDp vectors. In the second phase, wood from GWGV in forests was collected and placed in cages to test the potential oviposition activity by FDp vectors.
The results showed that GWGV in forests are a reservoir of FDp and that they can sustain the whole life cycle of both -i-S.titanus-/i- and -i-O.ishidae-/i-. Eventually, the need to adapt the current FD management strategies are highlighted.

en: insect-vectors egg-development orientus-ishidae southern-switzerland scaphoideus-titanus vitis grapevine-yellows

en: Gone-wild grapevines in forests may act as a potential habitat for “Flavescence dorée” phytoplasma vectors and inoculum

de:
Resource Title: Table 2. Embryonic development time.
    Size: 14233 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/73d4cc5b-0885-46a2-a11d-a11e30b44ddb/download/table_2.docx
    Description: Embryonic development time expressed as degree-days and days for gone-wild grapevines (GWGV) and the control. N = number of hatched nymphs; EDdd_min and EDdd_max = degree-days accumulated at the first and last hatching, respectively; EDdd_mean = mean accumulated degree-days; DDA = degree-days accumulated between first and last hatching; EDt_min and EDt_max = minimal and maximal time (days) of embryonic development, respectively; EDt_mean = mean time (days) of embryonic development; SE = standard error; HD = hatching period duration in days.

de:
Resource Title: Results of molecular analysis on sampled leaf material.
    Size: 14060 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/613cd979-13bb-45ae-a613-14eb643acfca/download/molecular_analysis_gwgv_leaves_2021.xlsx
    Description: Results of molecular analysis on sampled leaf material.

de:
Resource Title: Table 1. Plot characteristics and results of molecular analysis, trap captures, and total hatchings.
    Size: 24362 bytes
    Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/bad56aea-8ff7-4df1-a31c-4c5f6ae584d5/download/table_1.docx
    Description: Plot characteristics in terms of type of experiment (M = molecular analysis; T = traps for adult insects; H = hatching experiment), coordinates, region, mean slope, distance from nearest vineyard (DV), last year in which plot was registered as vineyard (Last_T); symptomatic expression of Grapevine Yellows (GY); result of molecular analysis for FDp detection on gone-wild grapevines (pos = positive detection with Cq < 35; neg = negative detection); number (nr.) of yellow sticky traps (if applicable) and Scaphoideus titanus and Orientus ishidae captures per single trap; absolute (N) and specific (N / kg wood) hatching events of S. titanus and O. ishidae per plot.

de:
Resource Title: Nymph hatching raw data.
    Size: 31337 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/7d753117-1e90-4d0f-93d4-e4044fd413aa/download/hatchings_gwgv_2022.xlsx
    Description: Nymph hatching raw data used for the inversed Kaplan-Meier.

de:
Resource Title: Primer sequences used for internal control of amplification of the insects (Cytochrome Oxydase I).
    Size: 11759 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/911cc06e-c61b-41c7-ac77-4bcc27de0eda/resource/91279118-86d9-4a5a-ba0b-4e4b26e165ba/download/coi_primer_sequence.xlsx
    Description: Primer sequences used for internal control of amplification of the insects (Cytochrome Oxydase I).

egg-development

display_name: egg-development

grapevine-yellows

display_name: grapevine-yellows

insect-vectors

display_name: insect-vectors

orientus-ishidae

display_name: orientus-ishidae

scaphoideus-titanus

display_name: scaphoideus-titanus

southern-switzerland

display_name: southern-switzerland

vitis

display_name: vitis


en:
Datasets used to implement the wet-snow avalanche activity model presented in the article:
Hendrick, M., Techel, F., Volpi, M., Olevski, T., Pérez-Guillén, C., van Herwijnen, A., Schweizer, J. (2023). Automated prediction of wet-snow avalanche activity in the Swiss Alps. Journal of Glaciology, under review
Each dataset includes the input variables (weather and snowpack features) and the target variable (wet-snow  avalanche day or not) used to build the model. Additionally, Dataset3_nowcast and Dataset3_forecast contain the predictions provided by the RF12 model.
All input variables are described in the Appendix of the article and also in the read_me file. Further information on SNOWPACK variables is also available at https://models.slf.ch/p/snowpack/ .

en: wet-snow-avalanche avalanche avalanche-forcasting numerical-avalanche-forecasting machine-learning

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.

en: EnviDat: the Environmental Data Portal

en: Weather, snowpack and avalanche occurrence data for automated prediction of wet-snow avalanche activity

de:
Resource Title: dataset2
    Size: 4255845 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/42c796be-2f67-42d0-9cbb-ae848903be3d/download/dataset2.csv
    Description: This dataset contains input and target data for winter 2020-2021. Dataset2 was used for training model RF12.

de:
Resource Title: read_me
    Size: 13163 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/cbf59631-422c-48e9-8026-e40c1839c841/download/read_me.xlsx
    Description: Features description

de:
Resource Title: dataset1
    Size: 2728414 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/5919bf40-5bb8-4018-8b19-25927e415a16/download/dataset1.csv
    Description: This dataset contains input and target data for winters before September 2020. Dataset1 was used for training model RF12.

de:
Resource Title: dataset3_nowcast
    Size: 1763995 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/8c765e17-5221-4960-97f7-9683be75321d/download/dataset3_nowcast.csv
    Description: This dataset contains nowcast input and target data for winter 2021-2022. This dataset is the nowcast test set for RF12. The column RF12_AvD_proba is the predicted probability for wet-snow avalanche day provided by the RF12 model.

de:
Resource Title: dataset3_forecast
    Size: 1818925 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/85784661-59c0-440c-a028-2c72e97350d5/resource/3a86f203-df30-4ff2-a2bc-94ba80063e0e/download/dataset3_forecast.csv
    Description: This dataset contains forecast input and target data for winter 2021-2022. This dataset is the forecast test set for RF12. The column RF12_AvD_proba is the predicted probability for wet-snow avalanche day provided by the RF12 model.

avalanche-forcasting

display_name: avalanche-forcasting

machine-learning

display_name: machine-learning

numerical-avalanche-forecasting

display_name: numerical-avalanche-forecasting

wet-snow-avalanche

display_name: wet-snow-avalanche


en: The Bryophytes of Europe Traits (BET) dataset includes values for 65 biological and ecological traits and 25 bioclimatic variables for all 1816 bryophytes included in the European Red List (Hodgetts et al. 2019). The traits are compiled from several regional trait datasets and manually complemented using Floras, species-specific literature and expert knowledge. The bioclimatic variables are calculated using the European range of each species. Details regarding the trait compilation and extraction of bioclimatic variables can be found in the corresponding data paper (Van Zuijlen et al. 2023).

en: liverworts mosses life-history-traits bioclimatic-variables red-list hornworts iucn indicator-values

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

envi

en: Environment

de:
Resource Title: BET_explanations
    Size: 249953 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4865a082-169d-40d1-920b-fc20ad0acad2/resource/9ac4a865-5bb2-479b-93f4-b3bfd99c7ada/download/bet_explanations.pdf
    Description: PDF including the (trait) explanations.

format: PDF

media_type: application/pdf

de:
Resource Title: BET_data
    Size: 1072488 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/4865a082-169d-40d1-920b-fc20ad0acad2/resource/d2d2f958-051c-4638-a808-88547cc64d92/download/betdata.txt
    Description: Text file including the BET dataset.

de:
Resource Title: BET_data_explanations
    Size: 981939 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4865a082-169d-40d1-920b-fc20ad0acad2/resource/6367f57f-1894-4f1b-997d-068d4d7511cc/download/betdata.xlsx
    Description: Excel file including the BET dataset and (trait) explanations.

bioclimatic-variables

display_name: bioclimatic-variables

hornworts

display_name: hornworts

indicator-values

display_name: indicator-values

iucn

display_name: iucn

life-history-traits

display_name: life-history-traits

liverworts

display_name: liverworts

mosses

display_name: mosses

red-list

display_name: red-list


en:
This dataset contains all data on which the following publication below is based.
Paper Citation:
Risch Anita C., Zimmermann, Stefan, Schütz, Martin, Borer, Elizabeth T., Broadbent, Arthur A.D., Caldeira, Maria C., Davies, Kendi F., Eisenhauer, Nico, Eskelinen, Anu, Fay, Philip A., Hagedorn, Frank, Knops, Johannes M.H., Lembrechts, Jonas, J., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Seabloom, Eric W., Silveira, Maria L., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Drivers of the microbial metabolic quotient across global grasslands. Global Ecology and Biogeography
Please cite this paper together with the citation for the datafile.
The microbial metabolic quotient (MMQ; mg CO2-C mg MBC-1 h-1), defined as the amount of microbial CO2 respired (MR; mg CO2-C kg soil-1 h-1) per unit of microbial biomass C (MBC; mg C kg soil-1), is a key parameter for understanding the microbial regulation of the carbon (C) cycle, including soil C sequestration. Here, we experimentally tested hypotheses about the individual and interactive effects of multiple nutrient addition (NPK+micronutrients) and herbivore exclusion on MR, MBC, and MMQ across 23 sites (5 continents). Our sites encompassed a wide range of edaphoclimatic conditions, thus we assessed which edaphoclimatic variables affected MMQ the most and how they interacted with our treatments. Soils were collected in plots with established experimental treatments. MR was assessed in a five-week laboratory incubation without glucose addition, MBC via substrate-induced respiration. MMQ was calculated as MR/MBC and corrected for soil temperatures (MMQsoil). Using LMMs and SEMs, we analysed how edaphoclimatic characteristics and treatments interactively affected MMQsoil. MMQsoil was higher in locations with higher mean annual temperature, lower water holding capacity, and soil organic C concentration, but did not respond to our treatments across sites as neither MR nor MBC changed. We attributed this relative homeostasis to our treatments to the modulating influence of edaphoclimatic variables. For example, herbivore exclusion, regardless of fertilization, led to greater MMQsoil only at sites with lower soil organic C (-1.7%). Our results pinpoint the main variables related to MMQsoil across grasslands and emphasize the importance of the local edaphoclimatic conditions in controlling the response of the C cycle to anthropogenic stressors. By testing hypotheses about MMQsoil across global edaphoclimatic gradients, this work also helps to align the conflicting results of prior studies.

en: anthropogenic-management climate soil-properties nutrient-addition microbial-respiration herbivore-exclusion microbial-biomass-carbon

envi

de: Umwelt

anthropogenic-management

display_name: anthropogenic-management

climate

display_name: climate

herbivore-exclusion

display_name: herbivore-exclusion

microbial-biomass-carbon

display_name: microbial-biomass-carbon

microbial-respiration

display_name: microbial-respiration

nutrient-addition

display_name: nutrient-addition

soil-properties

display_name: soil-properties


en: The specific surface area (SSA) of different snow types were measured with the IceCube instrument and the Scanco Medical microCT 40. In addition, the snow particles created during the preparation of IceCube samples were counted. The difference in SSA between these instruments is explained by the formation of the surface particles. A numerical simulation using TARTES simulation support the observations.

en: icecube snow microct specific-surface-area intercomparison

de:
Resource Title: TARTES simulations
    Size: 233652 bytes
    Format: application/x-ipynb+json
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/da0c5370-5987-4849-b776-3a32928722f3/download/tartes_simulations_icvsct.ipynb
    Description: Jupyter notebook with TARTES simulations.

de:
Resource Title: Statistics of samples
    Size: 11192 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/b9c6ddcf-e197-4c42-9715-c18dbf6cfba4/download/final_relativepercentagedifference.xlsx
    Description:

de:
Resource Title: Grain survey of snow particles
    Size: 1135587 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/b54b0c06-c651-4687-b156-67f0e5136b31/download/final_grainsurvey_data_weight.xlsx
    Description: The file contains all measurements of the artificial particles for snow types A, B, C, D and E, including the artificial particle mass in the Petri dish.

de:
Resource Title: SMP_measurements
    Size: 485022 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/8bf8eb60-0a76-4e41-a564-6ffd62bc0bd1/download/smp.zip
    Description: SMP measurement files for snow types A, B, C and D.

de:
Resource Title: IceCube and MicroCT data
    Size: 25666 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/fa34731a-ab3c-4400-8a6b-0e059e268dca/download/final_ic_and_microct_data.xlsx
    Description: The file contains all micro-CT and IC measurements for snow types A, B, C, D and E used in our study. All samples were processed (and stored)  in a cold laboratory at -15°C.

de:
Resource Title: artificial_snow_data set
    Size: 10754 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/1da22e66-c2d4-4e51-86b8-d429fd9a8a9f/download/artificial_snow_data.xlsx
    Description: The file contains all micro-CT and IC measurements of the artificial snow data set. The data set was originally produced to investigate the influence of black carbon on SSA measurements.

de:
Resource Title: greenland_summit_density_ssa_data
    Size: 60342 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/9e8148c1-be7d-4f71-b356-2afa52cff363/download/all_data_greenland_2015.xlsx
    Description: The file contains all data for the plot in figure 1 of the co-located density and SSA measurement at Summit, Greenland in May 2015, conducted by Schneebeli, Proksch, Schmid.

de:
Resource Title: Influence of black carbon on the measurement of the specific surface of snow with the near infrared method - Philipp Baumann
    Size: 7484371 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/2b433431-cf23-409d-a87a-0388bdd87ba1/resource/ea53a98b-702f-4557-89ae-736616525fbf/download/semesterarbeit_philipp_baumann_v3.pdf
    Description: These experiments investigate different possible errors by measuring the specific surface area (SSA) of snow with the near infrared method. The influence of black carbon on this measurement was disproved, the theory was therefore validated. It shows that sunlight has no influence on the measurement with the IceCube. Wind drift snow as thin layer on the sample can increase the measured value of the specific surface by a few percent. This could be part of the error, observed in former measurements at SLF. As reference for the measured SSA values with the near infrared method, computer tomography was used to verify the SSA values.

icecube

display_name: icecube

intercomparison

display_name: intercomparison

microct

display_name: microct

snow

display_name: snow

specific-surface-area

display_name: specific-surface-area


en: Data of a survey of flowering plants in 80 sites in five European cities and urban agglomerations (Antwerp, Belgium; greater Paris, France; Poznan, Poland; Tartu, Estonia; and Zurich, Switzerland) sampled between April and July 2018.

en: poznan urban zurich paris floral-inventories tartu antwerp floral-resources angiospermae plants

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: Flowering Plants (Angiospermae) in Urban Green Areas in five European Cities

de:
Resource Title: Floral_Traits.csv
    Size: 248377 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cf6885b4-0705-415b-983b-13b118c3cc95/resource/31270de2-4fe9-416f-b0c0-5d871505aec9/download/floral_traits.csv
    Description: Trait values for the sampled plants

de:
Resource Title: Floral_1_occurrence.csv
    Size: 1535390 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cf6885b4-0705-415b-983b-13b118c3cc95/resource/3c30a1f0-d0c3-4323-891b-646f3d94378f/download/floral_1_occurrence.csv
    Description: List of plant species sampled in the five cities (Antwerp, Paris, Poznan, Tartu and Zurich) during the different sampling perionds (four for Zurich, three for the other cities) with their frequency (oc1-oc16) within a 100 m radius

de:
Resource Title: Floral_2_counts.csv
    Size: 260871 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/cf6885b4-0705-415b-983b-13b118c3cc95/resource/380c0645-2665-4f9e-a8a1-bcc75bc714b8/download/floral_2_counts.csv
    Description: Floral units, mean number of flowers per floral unit and floral abundance of the different plants counted in quadrats in the study sites in Zurich during the four sampling periods

angiospermae

display_name: angiospermae

antwerp

display_name: antwerp

floral-inventories

display_name: floral-inventories

floral-resources

display_name: floral-resources

paris

display_name: paris

plants

display_name: plants

poznan

display_name: poznan

tartu

display_name: tartu

urban

display_name: urban

zurich

display_name: zurich


en:
Additional references to the article:
Linking solar and biomass resources to generate renewable en-ergy: can we find local complementarities in the agricultural setting?
Gillianne Bowman, Thierry Huber, Vanessa Burg
Energies, https://www.mdpi.com/1996-1073/16/3/1486
Today, the energy transition is underway to tackle the problems of climate change and energy sufficiency. For this transition to succeed, it is essential to use all available re-newable energy resources most efficiently. However, renewable energies often bring high volatility that needs to be balanced. One solution is to combine the use of different renewable sources to increase the overall energy output or reduce its environmental impact. Here, we estimate the agricultural solar and biomass resources at the local level in Switzerland, considering their spatial and temporal variability using Geographic In-formation Systems. We then identify the technologies that could allow synergies or complementarities. Overall, the technical agricultural resources potential is ~15 PJ/annus biogas yield from residual biomass and ~10 TWh/a electricity from solar installed on roofs (equivalent to ~36 PJ/a). Anaerobic digestion, combined heat & power plant, Raw manure separation, Biomethane upgrading, Power to X, Electrolysis, Chill generation and Pho-tovoltaic on biogas facilities could foster complementarity in the system if resources are pooled within the agricultural setting. Temporal complementarity at the farm scale can only lead to partial autarchy. The possible benefits from these complementarities should be better identified, particulary in looking looking at the economic viability of such systems.

en: photovoltaic biomethane bioenergy complementarity gis

envidat

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Linking solar and biomass resources to generate renewable energy: can we find local complementarities in the agricultural setting?

de:
Resource Title: Manure monthly resolution
    Size: 885 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/c1d039fb-a5ed-4c0e-b4b0-c1bcc35acb53/resource/9eaec15c-b990-4067-ae99-33d717a85ac4/download/manure-monthly-temporal-resolution.csv
    Description: This gives details on how calculation were made to estimate the monthly distribution of manure produced in Switzerland.

de:
Resource Title: Supplementary Information
    Size: 885 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/c1d039fb-a5ed-4c0e-b4b0-c1bcc35acb53/resource/a4dff48e-09e9-4da4-8dfb-fc752be0a716/download/electricity-yields.csv
    Description: Supplementary Information with regards to how the solar and biomass resources were calculated for the paper. Electricity yields of PV depending on various variables

de:
Resource Title: Agricultural Potential_2018_Municipalities2022_with_Monthly repartition
    Size: 1647592 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/c1d039fb-a5ed-4c0e-b4b0-c1bcc35acb53/resource/b7a9c653-0517-4ee8-9cef-128dcc368eea/download/agricultural-potential_2018_municipalities2022_with_monthly-repartition.csv
    Description: Base data  for quantitites of manure and agricultural residues available in Switzerland aggregated per municipalities and provided yearly and monthly.

Method:
The biomass considered in this study consists of agricultural residues arising according to current practice, i.e. mainly manure and some crop by-products. Availability was calculated following the method of (Burg et al., 2018)   based on the updated national agricultural inventory (FSO, 2018). The animal manure potential considered here represents the total annually collected amount, i.e. generated amount after subtracting losses from grazing. With regard to crop by-products, only a small percentage of the theoretical potential was considered to be available since most crop by-products cannot be readily collected today (Burg et al., 2018). The potential biogas production used in the present study was calculated analogously as in Burg et al. (2018) based on a specific biogas yield from fresh biomass. The additional potential of co-substrates from industrial or municipal organic wastes was not considered here.
Bsed on G1G22 (Municipalities in 2022) according to BFS

References:
Burg, V., Bowman, G., Erni, M., Lemm, R., Thees, O., 2018a. Analyzing the potential of domestic biomass resources for the energy transition in Switzerland. Biomass and Bioenergy 111, 60-69. https://doi.org/https://doi.org/10.1016/j.biombioe.2018.02.007
FSO, 2018. Individual data from the agricultural structure survey STRU. Federal statistical office FSO, Bern.

de:
Resource Title: Additional references
    Size: 70141 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/c1d039fb-a5ed-4c0e-b4b0-c1bcc35acb53/resource/de2fb674-6088-4bda-8de5-45ba6a5b986b/download/energies-2088589-supplementary_additional_references.pdf
    Description: Additional references to an article

bioenergy

display_name: bioenergy

biomethane

display_name: biomethane

complementarity

display_name: complementarity

gis

display_name: gis

photovoltaic

display_name: photovoltaic