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

en: landscape amphibians connectivity conservation occupancy-models wetlands

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

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

envi

en: Environment

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

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

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

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

de:
Resource Title: Original raw data
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    Description: This file contains the original raw monitoring data as provided by the canton of Aargau. Access is restricted and only considered upon request and in consultation with the canton of Aargau.

de:
Resource Title: Model code 2, description
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    Description: This is the output of the R markdown file Model code 2 that provides JAGS model code and describes how to format the provided data and fit the dynamic occupancy models described in the second associated publication, for a quick overview.

de:
Resource Title: Readme
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    Description: Description of methods and datasets. Version 1.

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

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

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

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

format: OCTET

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

amphibians

display_name: amphibians

connectivity

display_name: connectivity

conservation

display_name: conservation

landscape

display_name: landscape

occupancy-models

display_name: occupancy-models

wetlands

display_name: wetlands


$oid: OBSOLETE

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

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

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.

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

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

fr: Environnement

it: Ambiente

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

format: ZIP

media_type: application/zip

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

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

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

de:
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    Format: application/zip
    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/i_Sonic_data_6.zip
    Description: Ultrasonic anemometer data in the period from 13 to 18 November 2000.

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

format: CSV

media_type: text/csv

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

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

de:
Resource Title: (g) Sonic data 4
    Size: 1932735283 bytes
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    URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.540/g_Sonic_data_4.zip
    Description: Ultrasonic anemometer data in the period from 30 October to 6 November 2000.

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

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

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

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

antarctica

display_name: antarctica

atmospheric-turbulence

display_name: atmospheric-turbulence

blowing-snow

display_name: blowing-snow

drifting-snow

display_name: drifting-snow

meteorological-measurements

display_name: meteorological-measurements


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

en: ccn hygroscopicity hac2 cloud-droplets aerosol

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

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

de:
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de:
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aerosol

display_name: aerosol

ccn

display_name: ccn

cloud-droplets

display_name: cloud-droplets

hygroscopicity

display_name: hygroscopicity


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

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

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Re-analyzed regional avalanche danger levels in Switzerland

envi

de: Umwelt

de:
Resource Title: data_2020-2021_2022-2023.csv
    Size: 428629 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/6fa1a7f9-dea0-4bf7-aa98-a9d5d1e41625/resource/1f7aa436-aa12-488d-9897-217b8f467670/download/dangerlevel_tidy_2020-2021_2022-2023.csv
    Description: D_QC for forecasting seasons 2020/2021 - 2022/2023.

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

de:
Resource Title: data_2023-2024.csv
    Size: 190996 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/6fa1a7f9-dea0-4bf7-aa98-a9d5d1e41625/resource/a6564128-022a-421e-bb43-7caefd92bcee/download/data_2023-2024.csv
    Description: Data for the 2023/2024 forecasting season. It was added on 26 Aug 2024 by F. Techel.

avalanche-bulletin

display_name: avalanche-bulletin

avalanche-danger-level

display_name: avalanche-danger-level

avalanche-forecast

display_name: avalanche-forecast

avalanche-forecasting

display_name: avalanche-forecasting

verification

display_name: verification


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

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

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

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

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

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

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

honeybees

display_name: honeybees

pollination

display_name: pollination

remote-sensing

display_name: remote-sensing

sustainability

display_name: sustainability

urban-biodiversity

display_name: urban-biodiversity

urbanization

display_name: urbanization


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

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

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

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

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

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

antwerp

display_name: antwerp

cavity-nesting-bees

display_name: cavity-nesting-bees

chelostoma-florisomne

display_name: chelostoma-florisomne

dna-metabarcoding

display_name: dna-metabarcoding

hylaeus-communis

display_name: hylaeus-communis

osmia-bicornis

display_name: osmia-bicornis

osmia-cornuta

display_name: osmia-cornuta

paris

display_name: paris

plant-pollinator-interactions

display_name: plant-pollinator-interactions

poznan

display_name: poznan

tartu

display_name: tartu

trap-nest

display_name: trap-nest

urban-ecology

display_name: urban-ecology

zurich

display_name: zurich


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

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

en: Water-use strategies of temperate tree species

envi

en: Environment

anisohydric

display_name: anisohydric

root-distribution

display_name: root-distribution

stomatal-stringency

display_name: stomatal-stringency

water-potential

display_name: water-potential

water-use-strategy

display_name: water-use-strategy


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

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

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

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

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

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

conservation

display_name: conservation

database

display_name: database

eco-fauna

display_name: eco-fauna

ecosystem-protection

display_name: ecosystem-protection

fauna

display_name: fauna

fungi

display_name: fungi

info-fauna

display_name: info-fauna

lichens

display_name: lichens

red-list

display_name: red-list

soil-biodiversity

display_name: soil-biodiversity

soil-dependency

display_name: soil-dependency

soil-organisms

display_name: soil-organisms

soil-quality

display_name: soil-quality


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

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

envidat

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

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

de:
Resource Title: Specialized_metabolome.xlsx
    Size: 3876111 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/57776282-fb31-43b3-be8a-42c4b8d25c71/resource/f1b46aa1-9647-4371-8c2c-442f78fe8831/download/specialized_metabolome.xlsx
    Description:

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

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

climate-change

display_name: climate-change

drought-legacy

display_name: drought-legacy

fagus-sylvatica

display_name: fagus-sylvatica

herbivory

display_name: herbivory

phytochemistry

display_name: phytochemistry


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


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

en: Soil property maps for the Swiss forest

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

de:
Resource Title: soc_maps.zip
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    Description:

de:
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    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
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    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
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    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
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    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:

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: 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

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

envi

en: Environment

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.

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

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

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

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

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

envi

de: Umwelt

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.

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

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

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

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

envi

de: Umwelt

en: Environment

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

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

de: EnviDat

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