en: The dataset provides simulated 1) precipitation, 2) discharge, 3) soil moisture, and 4) low-flow simulations for 307 medium-sized catchments in Switzerland for the period 1981-2018. The data were simulated using the hydrological model PREVAH in its gridded-version. The simulated time series are provided at daily resolution. A detailed description of the modeling approach can be found in Brunner et al. 2019 submitted to NHESS.

en: drought-2018 discharge low-flow soil-moisture hydrological-simulations prevah precipitation

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: Hydro-meteorological simulations for the period 1981-2018 for Switzerland

en:
Resource Title: Low-flow storage
    Size: 53492028 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/a1338c95-09df-4bce-8d9c-7b059ae2f6a1/download/low_flow.txt
    Description: Simulated low-flow storage for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

format: TXT

media_type: text/plain

en:
Resource Title: Shapefile of 307 catchments in Switzerland
    Size: 103266 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/7ebed8a1-98ce-4833-b1dd-64246bd07e5f/download/catchment_shapes.zip
    Description: Shapefile of 307 catchments for which simulations of precipitation, discharge, soil moisture, and low flow are provided. The OBJECTID entry corresponds to the data columns in the textfiles of the simulated data provided.

en:
Resource Title: Discharge
    Size: 53492028 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/4c11fec4-0846-48a0-8dfe-9f7f5a4b574f/download/discharge.txt
    Description: Simulated discharge for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en:
Resource Title: Precipitation
    Size: 53492028 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/0f551cfd-804d-4f3a-80d9-c33562ea8b45/download/precipitation.txt
    Description: Simulated precipitation for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm/d.

en:
Resource Title: Soil moisture
    Size: 53492028 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/62573c81-105f-4830-8ad1-6e745b13ae2a/resource/0ad6127b-f7d6-4356-9ac4-283166385578/download/soil_moisture.txt
    Description: Simulated plant-available soil moisture for the 307 medium-sized catchments. The first column provides the date in the format YYYYMMDD. One column corresponds to one catchment. Unit: mm.

hydrological-simulations

display_name: hydrological-simulations

low-flow

display_name: low-flow

prevah

display_name: prevah


$oid: OBSOLETE

en: Data obtained in the free-air CO2 enrichment (FACE) experiment at Hofstetten, NW Switzerland, between 2009 and 2016. This dataset contains analyses of the soil solution throughout the experiment, especially for nitrate, as well as different analyses done at the end of the experiment: ammonium and nitrate captured by ion-exchange resin bags and extracted from soil cores, gross N mineralisation and nitrification measured by isotope dilution.

en: nitrogen co2 soil forest picea-abies face

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.

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

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

de: EnviDat: das Umwelt-Datenportal

fr: EnviDat: le portail de données environnementales

it: EnviDat: il portale dei dati ambientali

political_level: other

state: active

type: organization

wsl

capacity: public

de: EnviDat

en: Nitrogen availability under trees exposed to CO2 enrichment (FACE)

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

en:
Resource Title: Water analyses
    Size: 65553 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6be8b9ed-d122-4f25-bdc1-26efe41a0ce0/resource/50749920-cf85-4140-8802-54beffcf490e/download/water-analyses.csv
    Description: Analyses of water, especially soil solution

format: CSV

media_type: text/csv

en:
Resource Title: Resin bags
    Size: 1237 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6be8b9ed-d122-4f25-bdc1-26efe41a0ce0/resource/594288d3-95ff-4ad6-914e-d3e9c1d0ea42/download/resin-bags.csv
    Description: Ammonium, nitrate and their 15N in resin bags

en:
Resource Title: Gross N mineralisation and nitrification
    Size: 1183 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6be8b9ed-d122-4f25-bdc1-26efe41a0ce0/resource/f6a9e85f-187b-4a55-9f57-e243d14906ab/download/mineralisation-nitrification.csv
    Description: Gross rates of N mineralisation and nitrification (15N dilution)

en:
Resource Title: Collection points
    Size: 453 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6be8b9ed-d122-4f25-bdc1-26efe41a0ce0/resource/1e7dfaf0-d504-4bab-ae3b-8f96181b4e84/download/points.csv
    Description: Collection points under the trees

en:
Resource Title: Collection of soil solution
    Size: 33840 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6be8b9ed-d122-4f25-bdc1-26efe41a0ce0/resource/3cfe06e1-c280-4b18-903a-321ceef6044a/download/soil-solution.csv
    Description: Soil solution collected by suction cups

en:
Resource Title: Soil C and N
    Size: 1298 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/6be8b9ed-d122-4f25-bdc1-26efe41a0ce0/resource/dc99385c-0ab8-4c7f-88cd-cf53ba0aea41/download/soil-c-n.csv
    Description: Analyses of C, N and their stable isotopes in the soil, and soil pH

face

display_name: face

forest

display_name: forest

nitrogen

display_name: nitrogen

picea-abies

display_name: picea-abies

soil

display_name: soil


en:
The files contain the datasets used to produce Figures 2, 3, and 4 of the manuscript ([doi: 10.1002/2016GL071822](http://dx.doi.org/10.1002/2016GL071822)).
 Manuscript Abstract:
Despite being the main sediment entrainment mechanism in aeolian transport, granular splash is still poorly understood. We provide a deeper insight into the dynamics of sand and snow ejection with a stochastic model derived from the energy and momentum conservation laws. Our analysis highlights that the ejection regime of uniform sand is inherently different from that of heterogeneous sand. Moreover, we show that cohesive snow presents a mixed ejection regime, statistically controlled either by energy or momentum conservation depending on the impact velocity. The proposed formulation can provide a solid base for granular splash simulations in saltation models, leading to more reliable assessments of aeolian transport on Earth and Mars.

en: mars model erosion sediment-transport snow

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: Energy- and momentum-conserving model of splash entrainment in sand and snow saltation

en:
Resource Title:
    Size: 3626 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/6ee21796-08ad-4069-a4cb-da6c35ffede7/download/figure4a.txt
    Description: Datasets of Figure 4a

en:
Resource Title:
    Size: 3587 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/1f30b883-fc62-4bbf-a8f5-88f716008097/download/figure2.txt
    Description: Datasets of Figure 2

en:
Resource Title:
    Size: 1434 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/8ab9bafb-62f5-4420-80da-a2a96d22be74/download/figure3a.txt
    Description: Datasets of Figure 3a

en:
Resource Title:
    Size: 2904 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/709f4330-9a35-4685-aac8-347067a5e483/download/figure4b.txt
    Description: Datasets of Figure 4b

en:
Resource Title:
    Size: 2190 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/467b2213-b72a-4578-8c2e-f1181b6a7742/resource/82479779-1b20-486f-b4bc-414c6024c25d/download/figure3b.txt
    Description: Datasets of Figure 3b

erosion

display_name: erosion

mars

display_name: mars

model

display_name: model

sediment-transport

display_name: sediment-transport

snow

display_name: snow


snow-depth-mapping

en:
The available datasets are snow depth maps with a spatial resolution of 2m generated from image matching of ADS 80/100 data. Image acquisition took place at peak of winter (time when the thickest snowpack is expected). The snow depth maps are the difference of a summer DSM from the winter DSM of the corresponding date . The summer DSM used is a product of image matching of ADS 80 data from summer 2013. In the available products buildings, vegetation and outliers were masked (set to NoData).
For the elimination of buildings the TLM layer (swisstopo) was used, because this layer might not represent exactly the
state of infrastructure at time of image acquisition, it is possible that mainly in dense settlement some buildings were not successfully masked. For the relevant area above treeline the masking of buildings showed good results. Vegetation got masked for a height above ground - 1m and was detected in a combination of summer and winter data sets. As Outliers were considered unrealistic snow depths caused by a failure of the image matching algorithm. Snow depths - 15m and smaller than - -15m were classified as outliers. Negative snow depth were kept, because of an uncertainty in image orientation accuracy. It is expected that in regions with negative snow depth also positive snow depth are underestimated by the same amount, which means that an estimation of snow volume should be carried out summing up the absolute values of snow depth (also the negative ones). For volume estimation in small regions the user has to take into account, that orientation accuracy of the images is roughly around 1-2 GSD (30cm), which propagates directly to the snow depth product. Areas which are not covered by snow got assigned a value of 0 as snow depth.
The work is published in:
Bühler, Y.; Marty, M.; Egli, L.; Veitinger, J.; Jonas, T.; Thee, P.; Ginzler, C., (2015). Snow depth mapping in high-alpine catchments using digital photogrammetry. Cryosphere, 9 (1), 229-243. doi: 10.5194/tc-9-229-2015

en: dsm avalanche snow-hydrology snow-water-equivalent snow-depth aerial-imagery image-matching

en: Snow Depth Mapping

title_for_slug: snow-depth-mapping

envi

en: Environment

en:
Resource Title: Snow depth map 20160420
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/bc035833-3193-4394-af92-f8d195d5e034/download/snowmap_20160420_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m

format: TIFF

media_type: image/tiff

en:
Resource Title: Snow depth map 20140417
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/5cf5d3a5-555d-429e-9819-6c93ccce6dfc/download/snowmap_2014_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.18 m

en:
Resource Title: Snow depth mapping in high-alpine catchments using digital photogrammetry
    Size: 8122296 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/3b711e29-cea1-48e8-8de6-a008850c4f94/download/snow-depth-mapping-in-high-alpine-catchments.pdf
    Description:

format: PDF

media_type: application/pdf

en:
Resource Title: Snow depth map 20130415
    Size: 412272526 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/da3ca703-c629-45c0-8dac-e78645b0fa5e/download/snowmap_2013_ads_80_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

en:
Resource Title: Snow depth map 20100416
    Size: 412324171 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/4ba96052-9e3e-4b7a-9968-2dcc58fc96c0/download/snowmap_2010_ads_80_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

en:
Resource Title: Snow depth map 20150415
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/578e95ce-ffa0-4fc6-8109-d9653b2c622a/download/snowmap_2015_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m

en:
Resource Title: Snow depth map 20160126
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/9229984f-b417-45e5-8dbe-031f295d0406/download/snowmap_20160126_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m
Because of very diffuse light conditions at time of image acquisition the quality of the resulting snow depth values are in some regions quite poor.

en:
Resource Title: Snow depth map 20160309
    Size: 392871502 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/ceae68a6-28f9-43f4-8ff5-9715588ade57/download/snowmap_20160309_ads_100_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 100 imagery (CIR). GSD of imagery = 0.16 m

en:
Resource Title: Snow depth map 20120320
    Size: 412272526 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/32acdacc-98dd-4fa7-87e8-449278bd24f0/resource/aff41055-8e6e-4287-b52d-2c2fb61633c2/download/snowmap_2012_ads_80_extent_maskiert_nosnow0_noausreisser.tif
    Description: Snow depth map generated from ADS 80 imagery (CIR). GSD of imagery = 0.25 m

aerial-imagery

display_name: aerial-imagery

avalanche

display_name: avalanche

dsm

display_name: dsm

image-matching

display_name: image-matching

snow-depth

display_name: snow-depth

snow-hydrology

display_name: snow-hydrology

snow-water-equivalent

display_name: snow-water-equivalent


en:
Throughfall, litterflow and soil solution were sampled during one whole year under five Oriental beech trees in a mixed Hyrcanian beech forest. The amounts of Ca2+, Mg2+, K+ and Na+ in these fluxes were calculated based on their concentrations and the sampled volumes, and subsequently compared with the respective fluxes in the rainfall and soil solution of an adjacent forest gap.
In addition six soil profiles, one close to every single tree and one in the forest gap, were analyzed for pH, CaCO3, organic matter and texture.

en: magnesium fagus-orientalis-lipsky biogeochemical-cycling potassium calcium

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: Base cation dynamics in an Oriental beech forest

format: XLS

biogeochemical-cycling

display_name: biogeochemical-cycling

calcium

display_name: calcium

fagus-orientalis-lipsky

display_name: fagus-orientalis-lipsky

magnesium

display_name: magnesium

potassium

display_name: potassium


seilaplan

en:
Cable-based technologies have been a backbone for harvesting on steep slopes. The layout of a single cable road is challenging because one must identify intermediate support locations and heights that guarantee structural safety and operational efficiency while minimizing set-up and dismantling costs. Seilaplan optimizes the layout of a cable road by
Seilaplan stands for Cable Road Layout Planner. Seilaplan is able to calculate the optimal rope line layout (position and height of the supports) between defined start and end coordinates on the basis of a digital elevation model (DEM).
The program is designed for Central European conditions and is designed on the basis of a fixed suspension rope anchored at both ends. For the calculation of the properties of the load path curve an iterative method is used, which was described by Zweifel (1960) and was developed especially for standing skylines. When testing the feasibility of the cable line, care is taken that 1) the maximum permissible stresses in the skyline are not exceeded, 2) there is a minimum distance between the load path and the ground and 3) when using a gravitational system, there is a minimum inclination in the load path. The solution is selected which has a minimum number of supports in the first priority and minimizes the support height in the second priority.
The newly developed method calculates the load path curve and the forces occurring in it more accurately than tools available on the market to date (status 2019) and is able to determine the optimum position and height of the intermediate supports.
The reason for the more accurate results of the new tool is the assumption that the skyline is anchored at both end points. Forest cable yarders used in Europe have a skyline that is fixed at both ends. The behaviour of fixed-anchored suspension ropes is very difficult to describe mathematically and cannot be solved analytically. For this reason, simplified linearized assumptions have so far been used in the forestry sector, which corresponds to the behaviour of a weight-tensioned suspension rope and is known as the Pestal method (1961). Weight-tensioned suspension ropes are used for passenger transport.
For the calculation of the load path curve we use an iterative method, which was described by Zweifel (1960) and developed especially for fixed anchored suspension ropes. This makes mathematics much more demanding, but leads to more accurate and realistic results. Since there are no current models which describe the installation costs with adequate accuracy, the solution sought is the one which has a minimum number of supports in the first priority and minimises the support height in the second priority (Figure 2). The presented method is the first one, which starts from a fixed anchored supporting rope and identifies the mathematically optimal column layout at the same time. In contrast to methods that assume a weight-tensioned suspension rope, this approach achieves more realistic solutions with longer spans and lower support heights, which ultimately leads to lower installation costs. Background information on rope mechanics and calculation methods is documented in Bont and Heinimann (2012).
License: GNU, General Public License, Version 2 or newer.
Literature:
Bont, L., & Heinimann, H. R. (2012). Optimum geometric layout of a single cable road. European journal of forest research, 131(5), 1439-1448.

en: cable-planning steep-terrain-harvesting python qgis catenary-load-path cable-yarding software

en: Seilaplan

title_for_slug: seilaplan

format: ZIP

cable-planning

display_name: cable-planning

cable-yarding

display_name: cable-yarding

catenary-load-path

display_name: catenary-load-path

python

display_name: python

qgis

display_name: qgis

software

display_name: software

steep-terrain-harvesting

display_name: steep-terrain-harvesting


stem-radius-change-data-pfynwald

en:
**Continuously measured stem radius change data (time series) from high-precision point dendrometers (Natkon) mounted on the stems of Pinus sylvestris trees at 1.5 m in the Pfynwald VPDrought experimental area.**
The data originates from the **TreeNet database**. The published data represents the highest quality data following automatic and manual corrections (LM data level).
**The dataset contains the following files:**
- 10-minute resolution time series (.parquet)
- Daily resolution time series (.csv and .parquet)
- Metadata (.csv)
- Readme (.txt)
Main variables are stem radius changes (SRC), tree water deficit (TWD) and radial stem growth (GRO).

**The site area contains the following site_ids (treatments)**
| 86 | Pfynwald-Control
| 89 | Pfynwald-Irr_Stop
| 90 | Pfynwald-Irrigation
| 145 | Pfynwald-Irrigation_VPD
| 146 | Pfynwald-Roof
| 147 | Pfynwald-Roof_VPD
The measurements cover data from 2011 to 2025. All data is in UTC + 1 hour (Central European Time CET, winter time, no DST).

en: climate-change data-publication drought-legacy bark-growth treewaterdeficit time-series pinus-sylvestris ecophysiology alps automated-monitoring dendrometer treenet drought-stress forest drought-experiment wood-growth

en: Stem Radius Change Data Pfynwald

title_for_slug: stem-radius-change-data-pfynwald

envi

en: Environment

en:
Resource Title: Pfynwald_Dendro_2010-2025.zip
    Size: 446097419 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/60f3c95c-fe5d-49f0-89af-f325ef864cf0/resource/aec4c998-c6dd-4000-bd4e-c9bc79fe7b22/download/pfynwald_dendro_2010-2025.zip
    Description:

media_type: application/zip

en:
Resource Title: Pfynwald_README.txt
    Size: 12082 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/60f3c95c-fe5d-49f0-89af-f325ef864cf0/resource/8c24a11c-ecda-404c-9dd4-078629e89559/download/pfynwald_readme.txt
    Description:

alps

display_name: alps

automated-monitoring

display_name: automated-monitoring

bark-growth

display_name: bark-growth

climate-change

display_name: climate-change

data-publication

display_name: data-publication

dendrometer

display_name: dendrometer

drought-experiment

display_name: drought-experiment

drought-legacy

display_name: drought-legacy

drought-stress

display_name: drought-stress

ecophysiology

display_name: ecophysiology

forest

display_name: forest

pinus-sylvestris

display_name: pinus-sylvestris

time-series

display_name: time-series

treenet

display_name: treenet

treewaterdeficit

display_name: treewaterdeficit

wood-growth

display_name: wood-growth


en:
**Continuously measured stem radius change data (time series) from high-precision point dendrometers (Natkon) mounted on the stems of Pinus sylvestris trees at 1.5 m in the Pfynwald VPDrought experimental area.**
The data originates from the TreeNet database. The published data represents the highest quality data following automatic and manual corrections (LM data level).
The dataset contains the following files:
- 10-minute resolution time series (.parquet)
- Daily resolution time series (.parquet)
- Readme (.txt)
Main variables are stem radius changes (SRC), tree water deficit (TWD) and radial stem growth (GRO).
The measurements cover data from 2011 to 2025. All data is in UTC + 1 hour (Central European Time CET, winter time, no DST).

en: pinus-sylvestris pfynwald vpd drought stem-growth point-dendrometer irrigation twd vpdrought

en: Pfynwald VPDrought  experiment stem radius changes (TreeNet)

en:
Resource Title: pfynwald_vpdrought_dendrometer_2024.zip
    Size: 61781663 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/571cf7ad-edda-4e1f-9e9d-45014c39a9e2/resource/425594e2-7210-49a8-82b7-1bdfc4cbaf33/download/pfynwald_vpdrought_dendrometer_2024.zip
    Description:

en:
Resource Title: pfynwald_vpdrought_dendrometer_2025.zip
    Size: 62493309 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/571cf7ad-edda-4e1f-9e9d-45014c39a9e2/resource/cea43ffe-6437-4b0e-8d58-398026cbde41/download/pfynwald_vpdrought_dendrometer_2025.zip
    Description:

drought

display_name: drought

irrigation

display_name: irrigation

pfynwald

display_name: pfynwald

point-dendrometer

display_name: point-dendrometer

stem-growth

display_name: stem-growth

twd

display_name: twd

vpd

display_name: vpd

vpdrought

display_name: vpdrought


en:
Starter kit for the TreeMig framework that allows for an easy application of the forest landscape model TreeMig for simulating forest dynamics in space under changing environmental and land use conditions.
The starter kit consists of a set of climate, land-use, topography and soil property input data for Switzerland, a script for installing the framework and running the GUI of the framework with the link to the input data, a tutorial covering a range of simulation examples for Switzerland and a transect through Europe, and an associated example simulation environment containing the model executables and other model inputs.

en: forest gui land-use treemig species-migration spatial-modelling forest-dynamics r-package forest-model bioclimatic-variables species-interaction

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: Starter Kit for the TreeMig framework v1 for easy simulation of spatio-temporal forest dynamics

en:
Resource Title: TreeMig_Tutorial_2025-05-02.pdf
    Size: 2107648 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/516d259a-3b10-419c-a033-980bedf6ade1/resource/a1dec65a-30ba-4688-90ac-50df5db73d4c/download/treemig_tutorial_2025-05-02.pdf
    Description: Tutorial for using the TreeMig framework; updated

en:
Resource Title: TreeMig Simulation Environment and Input Data
    Size: 1602386904 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/516d259a-3b10-419c-a033-980bedf6ade1/resource/c2ae78fd-418a-4cdb-a511-0914eb46224f/download/tmenvandinputdata.zip
    Description: The zip file consists of a R-script to provide the framework, an example simulation environment and a set of input data.
- The R-script installAndRunTreeMigWrapperAndGUI.R installs the R-package, links to the input data and starts the graphical user interface.
- The gridded input datasets in TMInputData are specifically tailored to Switzerland and have the same coordinate reference system and a congruent 200m spatial resolution. They consist of climate, topographic, land use and soil data.  For details see TMInputDataDetails.pdf.
- TMEnvironment is an example simulation environment, i.e. a set of hierarchically structured folders.  For the first example simulation of the tutorial it contains the
   - the TreeMig executables for MacOS, Linux and Windows
   - simulation control files that define the setup and input files of the simulation (in folder C)
   - species parameters (in folder P)
   - bioclimatic data  (in folder E)
   - folder R for results
   - folder Plots for plots of the simulation results.
   - This environment can be also used for the subsequent simulations of the tutorial.
- Some additional R-scripts demonstrate more complex applications described in the tutorial, e.g. coupling to another model.

en:
Resource Title: TreeMig Simulation Environment and Input Data
    Size: 1612103870 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/516d259a-3b10-419c-a033-980bedf6ade1/resource/5eef16d1-80af-442b-9da2-f64b4fa94671/download/tmenvandinputdata.zip
    Description: The zip file consists of a R-script to provide the framework, an example simulation environment and a set of input data.
- The R-script installAndRunTreeMigWrapperAndGUI.R installs the R-package, links to the input data and starts the graphical user interface.
- The gridded input datasets in TMInputData are specifically tailored to Switzerland and have the same coordinate reference system and a congruent 200m spatial resolution. They consist of climate, topographic, land use and soil data.  For details see TMInputDataDetails.pdf.
- TMEnvironment is an example simulation environment, i.e. a set of hierarchically structured folders.  For the first example simulation of the tutorial it contains the
   - the TreeMig executables for MacOS, Linux and Windows
   - simulation control files that define the setup and input files of the simulation (in folder C)
   - species parameters (in folder P)
   - bioclimatic data  (in folder E)
   - folder R for results
   - folder Plots for plots of the simulation results.
   - This environment can be also used for the subsequent simulations of the tutorial.
- Some additional R-scripts demonstrate more complex applications described in the tutorial, e.g. coupling to another model.

en:
Resource Title: Description input data
    Size: 263110 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/516d259a-3b10-419c-a033-980bedf6ade1/resource/3db8ca57-2838-4b26-82a9-9770b75b7096/download/readme_descriptioninputdata.pdf
    Description: Details where the input data come from and how they have been processed

en:
Resource Title: TreeMig Tutorial
    Size: 2046576 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/516d259a-3b10-419c-a033-980bedf6ade1/resource/8e6ac324-ab2b-40bc-a12f-70960c8f4bd1/download/treemig_tutorial.pdf
    Description: Tutorial for using the TreeMig framework

en:
Resource Title: TreeMig_Tutorial_v2024_12_04.pdf
    Size: 6400462 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/516d259a-3b10-419c-a033-980bedf6ade1/resource/d4c15251-917c-4102-b172-256fecd39161/download/treemig_tutorial_v2024_12_04.pdf
    Description:

en:
Resource Title: TreeMig_Tutorial_v2024_12.pdf
    Size: 3399819 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/516d259a-3b10-419c-a033-980bedf6ade1/resource/5188a2e1-470c-4ed7-83c6-26dc72bd18ab/download/treemig_tutorial_v2024_12.pdf
    Description: Tutorial for using the TreeMig framework; updated

bioclimatic-variables

display_name: bioclimatic-variables

forest-dynamics

display_name: forest-dynamics

forest-model

display_name: forest-model

gui

display_name: gui

land-use

display_name: land-use

r-package

display_name: r-package

spatial-modelling

display_name: spatial-modelling

species-interaction

display_name: species-interaction

species-migration

display_name: species-migration

treemig

display_name: treemig


en:
The TreeMig framework allows for an easy application of the forest landscape model TreeMig for simulating forest dynamics in space under changing environmental and land use conditions.
Here, case study examples in Switzerland are given that simulate the dynamics and spatial spread of competing tree species in a region in Switzerland, the invasion of a hypothetical invasive tree species, and the control of this species via a management model coupled to TreeMig.  The datasets consist of the installation- and GUI starting-script,  example environmental input data for Switzerland, the simulation environment, and further R-scripts for running the simulations and plotting the simulation results directly from R and for coupling TreeMig to the forest management model.

en: forest-dynamics forest treemig species-migration climate-change r-package example-applications land-use bioclimatic-variables spatial-modelling forest-management

envidat

en: EnviDat: the Environmental Data Portal

en: Case study applications demonstrating the use and potential of the TreeMig framework v1

envi

en: Environment

en:
Resource Title: InstructionsForRunningTheSimulations.pdf
    Size: 68995 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/830a45db-7985-42f6-8864-4961fe5ef5a2/download/instructionsforrunningthesimulations.pdf
    Description: A condensed instruction for running the presented simulations.

en:
Resource Title: installAndRunTreeMigWrapperAndGUI_std.R
    Size: 553 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/916c8a50-1d57-4e28-97c8-f50b8a9f7bf7/download/installandruntreemigwrapperandgui_std.r
    Description: R-script to install the TreeMig framework and start the graphical user interface

en:
Resource Title: InstructionsForRunningTheSimulations.pdf
    Size: 127302 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/32c74611-c61e-48be-998b-6722bbb697c8/download/instructionsforrunningthesimulations.pdf
    Description: A condensed instruction for running the presented simulations.

en:
Resource Title: ExampleApplicationsTreeMig.zip
    Size: 1686005000 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/0f59997f-3e90-4b25-9e5b-37b641d9769b/download/exampleapplicationstreemig.zip
    Description: 1) Simulation environment TMEnvironmentExampleApplications for the simulation of the case study applications. It contains a) simulation settings (folder C),  b) species parameters (folder P), c) folders S, R and P for the state files and results and plots to be produced, and the binaries of the TreeMig model.
2) Input data for Switzerland in TMInputData (Climate, soil, land cover, DEM)
3) Several R scripts (folder Scripts) to run and plot the simulations directly from R without having to use the graphical user interface.
For learning how to use TreeMig we recommend the starter kit https://www.doi.org/10.16904/envidat.533.

en:
Resource Title: ExampleApplicationsTreeMig.zip
    Size: 1676301558 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/4e735cce-be7e-4279-9f96-893d8d789924/resource/609e85c8-98d0-4043-be91-48bd32c162ea/download/exampleapplicationstreemig.zip
    Description: 1) Simulation environment TMEnvironmentExampleApplications for the simulation of the case study applications. It contains a) simulation settings (folder C),  b) species parameters (folder P), c) folders S, R and P for the state files and results and plots to be produced, and the binaries of the TreeMig model.
2) Input data for Switzerland in TMInputData (Climate, soil, land cover, DEM)
3) Several R scripts (folder Scripts) to run and plot the simulations directly from R without having to use the graphical user interface.
For learning how to use TreeMig we recommend the starter kit https://www.doi.org/10.16904/envidat.533.

climate-change

display_name: climate-change

example-applications

display_name: example-applications

forest

display_name: forest

forest-management

display_name: forest-management


en:
Spatio-temporal vegetation models are essential for simulating dynamics and shifts
in species distributions over large areas, particularly under global change. One such
model is the dynamic forest landscape model TreeMig. We have developed a frame-
work that makes the model more user-friendly, improves its functionality, and expands
its possibilities. The framework consists of the improved TreeMig model, the R pack-
age ‘TreeMig-R’ for pre-processing input data, model execution and visualization and a
graphical user interface (GUI) for ease of use. The code of the TreeMig Package and the GUI is stored here.

en: forest-model r-package dynamic-modelling gui landscape

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: Code of TreeMig Package version 1

dynamic-modelling

display_name: dynamic-modelling

landscape

display_name: landscape


en: This dataset comprises qualitative data for the development of the five Swiss Shared Socioeconomic Pathways (SSP-CH) up to the year 2100. First, it comprises projections of 22 socioeconomic factors, each represented by four to five factor-specific trajectories that form the basis of the qualitative scenario storylines. Second, it includes an input table providing concise qualitative characterizations of 63 socioeconomic factors across the five SSP-CH scenarios.

en: scenario-development national-ssps socioeconomic-scenarios qualitative-scenarios ssp-storylines

en: Shared Socioeconomic Pathways for Switzerland (SSP-CH): qualitative data for scenario development

en:
Resource Title: Input-Tabelle_final_d.xlsx
    Size: 198502 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/3e5310e5-4038-4782-b3c9-b64100709e32/resource/3458c684-6a22-437e-99cf-20c9f494d521/download/input-tabelle_final_d.xlsx
    Description: SSP-CH Input table: qualitative description of 63 socioeconomic factors in the 5 SSP-CH (german). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Programme. The following individuals participated in the compilation of this data: Gubler, L., Tschumi, P., Pütz, M., Seidl, I.

en:
Resource Title: SSP-CH_Faktorprojektionen_d.pdf
    Size: 3030385 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/3e5310e5-4038-4782-b3c9-b64100709e32/resource/11d2b1ab-8a77-407e-9732-db22a853e03f/download/faktorprojektionen_beschreibung_d.pdf
    Description: SSP-CH factor projections of 20 socioeconomic factors (german). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Programme. The following individuals participated in the compilation of this data: Gubler, L., Tschumi, P., Pütz, M., Seidl, I.

en:
Resource Title: Input-table_final_e.xlsx
    Size: 45599 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/3e5310e5-4038-4782-b3c9-b64100709e32/resource/9eef7ee5-8a6d-47c2-9952-447cd39018e4/download/input-table_final_e.xlsx
    Description: SSP-CH Input table: qualitative description of 63 socioeconomic factors in the 5 SSP-CH (english). This data was compiled as part of the Project "Socioeconomic Scenarios for Switzerland" within the NCCS-Impacts Programme. The following individuals participated in the compilation of this data: Gubler, L., Tschumi, P., Pütz, M., Seidl, I.

national-ssps

display_name: national-ssps

qualitative-scenarios

display_name: qualitative-scenarios

scenario-development

display_name: scenario-development

socioeconomic-scenarios

display_name: socioeconomic-scenarios

ssp-storylines

display_name: ssp-storylines


en:
The dataset "Lake_climate_change_scenarios_CH2018" provides simulation-based climate change impact scenarios for perialpine lakes in Switzerland. These transient future scenarios were produced by combining the hydrologic model PREVAH with the hydrodynamic model MIKE11 to simulate daily lake water level (Lake_water_level_scenarios_CH2018.xls) and outflow scenarios (Lake_outflow_scenarios_CH2018.xls) from 1981 to 2099, using the Swiss Climate Change Scenarios CH2018. The future scenarios contain a total of 39 model members for three Representative Concentration Pathways, RCP2.6 (concerted mitigation efforts), RCP4.5 (limited climate mitigation) and RCP8.5 (no climate mitigation measures). These scenarios result from the study titled "Lower summer lake levels in regulated perialpine lakes, caused by climate change," authored by Wechsler et al. in 2023.
The dataset emphasizes four specific Swiss lakes, each subject to different degrees of lake level management: an unregulated lake (Lake Walen), a semi-regulated lake (Lake Brienz), and two regulated lakes (Lake Zurich and Lake Thun).
In addition, the file (Lake_characteristics.xlsx) includes data used in the modeling process, encompassing the stage-area relation for the four lakes, stage-discharge relations for the unregulated and semi-regulated lakes, and lake level management rules for the two regulated lakes.

en: climate-change switzerland perialpine-lakes hydrologic-and-hydrodynamic-modelling lake-level-regulation

envidat

en: EnviDat: the Environmental Data Portal

en: Lake climate change scenarios CH2018

en:
Resource Title: Lake outflow scenarios CH2018
    Size: 129406464 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/1c350a5c-5297-43ad-ae2f-f093b5f4bfa3/resource/5d653540-4338-4d0f-bad3-4d083584964a/download/lake_outflow_scenarios_ch2018.xls
    Description: Lake outflow scenarios for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun.

en:
Resource Title: Lake water level scenarios CH2018
    Size: 128937984 bytes
    Format: application/vnd.ms-excel
    URL: https://www.envidat.ch/dataset/1c350a5c-5297-43ad-ae2f-f093b5f4bfa3/resource/b461ac74-3c51-4c96-9602-6200405f7ef4/download/lake_water_level_scenarios_ch2018.xls
    Description: Lake water level scenarios for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun.

en:
Resource Title: Lake characteristics
    Size: 668782 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/1c350a5c-5297-43ad-ae2f-f093b5f4bfa3/resource/469b12d3-8184-4ce1-a2c8-881a5b81db3e/download/lake_characteristics.xlsx
    Description: Lake characteristics: stage-area relation for Lake Walen, Lake Zurich, Lake Brienz and Lake Thun, stage-discharge relations for the unregulated Lake Walen and semi-regulated Lake Brienz and, lake level management rules for the two regulated lakes Zurich and Thun.

hydrologic-and-hydrodynamic-modelling

display_name: hydrologic-and-hydrodynamic-modelling

lake-level-regulation

display_name: lake-level-regulation

perialpine-lakes

display_name: perialpine-lakes

switzerland

display_name: switzerland


en:
Surface topography maps (spatial extent: 400 m x 400 m) obtained at approximately 300 m from the top of the Hammarryggen Ice Rise in Dronning Maud Land, East Antarctica, using a Riegl VZ-6000 Terrestrial Laser Scanner (TLS). Scans were obtained on 5 days in the 2018-2019 Austral summer: on December 21 and 27, and January 2, 4 and 11. By using reflectors installed on bamboo poles, scans were registered with respect to the reflectors, such that the difference between two successive scans reveals the spatial patterns of erosion and deposition of snow. On each scan day, we used multiple scan positions to create one combined point cloud. After applying an octree filter on the point cloud, a 3D surface was obtained. For each day, the dataset contains a 1 mm and a 10 cm octree filter resolution file, only including points in a 400 m x 400 m area centered around the scan positions.
Notes:
* All files in the dataset are in the same coordinate system. However, this coordinate system is arbitrary (i.e., not related to any global coordinate system).
* From the installed reflectors, 4 reflectors could be used over the full period. The scan accuracy is generally higher within the area enclosed by the reflectors.
* The scans from January 2 were found to have exhibited small tilt during the scan and are of lesser accuracy.
* By walking along fixed corridors, disturbance of the snow was limited.

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

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

envi

en: Environment

en:
Resource Title: Scan from 2 January 2019, 1 mm resolution
    Size: 358665175 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/cce4e4f2-713a-4ced-8276-994c3c6d1fca/download/20190102_combi_2.5d_0.001m.zip
    Description: Scan from 2 January 2019, 1 mm resolution

en:
Resource Title: Scan from 27 December 2018, 10 cm resolution
    Size: 26161402 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/3493a5ce-398d-482c-942f-2ebd558acd10/download/20181227_combi_2.5d_0.1m.zip
    Description: Scan from 27 December 2018, 10 cm resolution

en:
Resource Title: Scan from 2 January 2019, 10 cm resolution
    Size: 33632491 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/31da45fa-770b-44ee-8121-cdbccffa9f03/download/20190102_combi_2.5d_0.1m.zip
    Description: Scan from 2 January 2019, 10 cm resolution

en:
Resource Title: Scan from 27 December 2018, 1 mm resolution
    Size: 324407426 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/713d2875-611c-483f-af9c-2756125153d7/download/20181227_combi_2.5d_0.001m.zip
    Description: Scan from 27 December 2018, 1 mm resolution

en:
Resource Title: Deprecated: Scan from 11 January 2019, 10 cm resolution, version 1
    Size: 33017091 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/ca01d845-b9c9-4ff4-9721-e52096546a03/download/20190111_combi_2.5d_0.1m.zip
    Description: This resource is deprecated. It contains erroneous data.

en:
Resource Title: Scan from 11 January 2019, 1 mm resolution
    Size: 384645137 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/2abd22ce-9aa5-48d3-85d6-16fce30e4dac/download/20190111_combi_2.5d_0.001m.zip
    Description: Scan from 11 January 2019, 1 mm resolution

en:
Resource Title: Scan from 21 December 2018, 1 mm resolution
    Size: 271646425 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/0bf20a3a-f462-4313-9393-dcba4c207bfe/download/20181221_combi_2.5d_0.001m.zip
    Description: Scan from 21 December 2018, 1 mm resolution

en:
Resource Title: Scan from 21 December 2018, 10 cm resolution
    Size: 20747718 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/24c7f00b-bffd-4ecd-b1cc-b8595cf9cabc/download/20181221_combi_2.5d_0.1m.zip
    Description: Scan from 21 December 2018, 10 cm resolution

en:
Resource Title: Scan from 4 January 2019, 10 cm resolution
    Size: 31421084 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/85476f78-5964-4d09-9b39-bf6b44cf3ea2/download/20190104_combi_2.5d_0.1m.zip
    Description: Scan from 4 January 2019, 10 cm resolution

en:
Resource Title: Scan from 4 January 2019, 1 mm resolution
    Size: 371000882 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/f6bacba5-c126-496c-aae8-0cea0a7db3c1/download/20190104_combi_2.5d_0.001m.zip
    Description: Scan from 4 January 2019, 1 mm resolution

en:
Resource Title: Scan from 11 January 2019, 10 cm resolution, version 2
    Size: 21786633 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/eaf0f187-6a26-4fca-8315-b48bb6a10234/resource/11ab1fc7-2eba-4506-823c-c06120c538e2/download/20190111_combi_2.5d_0.1m.zip
    Description: Scan from 11 January 2019, 10 cm resolution, version 2

antarctica

display_name: antarctica

depth-of-snowfall

display_name: depth-of-snowfall

gridded-data

display_name: gridded-data

terrestiral-laserscanning

display_name: terrestiral-laserscanning

terrestrial-laser-scans

display_name: terrestrial-laser-scans


en:
Table of Content: 1. General context of the data set "LUSzoning”; 2. Background and aims of the study using the data set LUSzoning; 3. The data set LUSzoning.
1. General context of the data set "LUSzoning".
The data set "LUSzoning" stands for Land-use simulations integrating zoning regulations in Spanish functional urban areas. The data set has been generated as part of the CONCUR research project (https://www.wsl.ch/en/projects/concur.html) led by Dr. Anna M. Hersperger and funded by the Swiss National Science Foundation (ERC TBS Consolidator Grant (ID: BSCGIO 157789) for the period 2016-2021. The CONCUR research project is interdisciplinary and aims to develop a scientific basis for adequately integrating spatial policies (in this case, digital zoning plans) into quantitative land-change modelling approaches at the urban regional level.
2.	Background and aims of the study using the data set “LUSzoning”.
As part of the CONCUR project, a specific task was to integrate planning spatial policies in land-change modelling. Planning can be implemented in modelling using either hard or gradual restrictions. Different studies have addressed the inclusion of spatial planning policies in land-use change modelling. However, the integration of zoning constraints is generally established as hard or Boolean-based restrictions (e.g., whether urban development is allowed or not), while not accounting for the spatial heterogeneity or gradual characteristics within planning zones (e.g., whether planning regulations allow low, medium or high urban density), though these could improve real patterns simulations in urban areas. We assume Spanish General Zoning plans were suitable to explore the integration of planning into land-change modelling as soft constrains because they define land-use intensities in the buildable zoning areas. In light of the above considerations, the overall aim of the study was to model urban land-use changes using a multi-scenario approach that integrates digitized zoning plans for the Functional Urban Areas (FUAs) of Madrid, Barcelona, Valencia, and Zaragoza. The following specific objectives were addressed: i) to analyse the role of planning by defining three future scenarios that integrate digitized zoning plans and one scenario that assumes almost no planning intervention; ii) to introduce zoning constraints that reflect different degrees of urban densities; iii) to generate a transferable spatially-explicit modelling framework to integrate planning into land-use change simulations.
Four future land-use demands scenarios were defined for the FUAs. Storylines were created considering probable development scenarios related to zoning plans, current Spanish legislation and sustainability goals defined along two axes: a high market-oriented vs. high planning-intervention axis, and an axis of short-term economic growth vs. long-term sustainable growth. The sustainable development scenario (S1) is characterized by low gross floor area (GFA) growth that is limited to areas that are currently under development according to zoning plans. The business-as-usual scenario (S2) is characterized by medium GFA growth in the range of on-going trends. The strong development scenario (S3) is characterized by high GFA growth rates. Growth is restricted to buildable areas without urbanization project designated in zoning plans. The unrestricted development scenario (S4) prioritizes a high degree of market liberalization characterized by high GFA growth that surpasses population demands. S4 follows a rapid economic growth pattern with almost no planning intervention.
3.	 The data set “LUSzoning”.
The dataset includes 16 .asc raster layers providing the simulated land-uses under four defined scenarios for Barcelona, Madrid, Valencia and Zaragoza Functional Urban Areas (FUAs) for 2030. The simulated raster layers were created using CLUMondo simulation framework and have a spatial resolution of 30m. The .asc layers name include the name of the FUA and scenario number. For example, the output from simulating the urban growth for the city of Zaragoza under Scenario 2 is named “Zaragoza_S2.tif”. Furthermore, a .txt file named “Legend.txt” includes the numeric value of the land-use and the category of land-use that represents to interpret the .asc raster layers. The name of the land-use classes is a reclassification of the Urban Atlas 2012 land-use classes within the four Spanish FUAs analyzed.

en: spatial-planning land-use-transformations land-use-simulations digital-zoning-plans land-use-change

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: LUSzoning: Land-use simulations integrating zoning regulations in Spanish functional urban areas

en:
Resource Title: Barcelona_S4
    Size: 50843588 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/0da0d9eb-d2a7-41b0-a050-1a34770fc7e1/download/barcelona_s4.asc
    Description:

format: pgp-keys

en:
Resource Title: Valencia_S3
    Size: 6757947 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/94d52c98-ae61-4a1d-8b51-75d8b2994a04/download/valencia_s3.asc
    Description:

en:
Resource Title: Valencia_S4
    Size: 6692922 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/ad431d08-3481-4b61-9d4c-a7b75e6c04e9/download/valencia_s4.asc
    Description:

en:
Resource Title: Zaragoza_S3
    Size: 20961753 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/46cd42ea-2ea9-4881-9056-0c80433cdced/download/zaragoza_s3.asc
    Description:

en:
Resource Title: Barcelona_S1
    Size: 51075742 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/2a6f3cb5-a88e-4abe-865a-12a6fa2bd838/download/barcelona_s1.asc
    Description:

en:
Resource Title: Zaragoza_S2
    Size: 20964504 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/7b5ad8ca-1f63-4492-89ad-d8e902c4b102/download/zaragoza_s2.asc
    Description:

en:
Resource Title: Madrid_S2
    Size: 25343034 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/5d6fb94e-2557-4428-aae5-30aebd2048a1/download/madrid_s2.asc
    Description:

en:
Resource Title: Madrid_S1
    Size: 25387983 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/bc4b8ca6-76a2-43b0-9a5b-4c43394b3fda/download/madrid_s1.asc
    Description:

en:
Resource Title: Barcelona_S3
    Size: 51044440 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/78f91bc4-cec9-4e30-9db9-a1c2cb4ba546/download/barcelona_s3.asc
    Description:

en:
Resource Title: Valencia_S1
    Size: 6769425 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/b0e6fefc-b2ca-48ee-bbaf-a478e4f027ee/download/valencia_s1.asc
    Description:

en:
Resource Title: Barcelona_S2
    Size: 51045666 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/a555ffc0-0266-4987-b70e-e7fddb0abdf2/download/barcelona_s2.asc
    Description:

en:
Resource Title: Madrid_S4
    Size: 25185335 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/21a40989-9a12-403a-9dff-15d37a59caf6/download/madrid_s4.asc
    Description:

en:
Resource Title: Valencia_S2
    Size: 6759489 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/af2a0484-7e5e-4cc3-963c-c14ef137131a/download/valencia_s2.asc
    Description:

en:
Resource Title: Madrid_S3
    Size: 25291019 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/dfb0ce17-3c3c-4c40-a406-5fbbd69d7859/download/madrid_s3.asc
    Description:

en:
Resource Title: Zaragoza_S1
    Size: 20968481 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/bf187ffd-59a7-4018-b7f8-d843cd03737e/download/zaragoza_s1.asc
    Description:

en:
Resource Title: Legend simulated maps
    Size: 906 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/927372ee-e8b2-4f36-abc3-7367b112b4fb/download/legend.txt
    Description:

en:
Resource Title: Zaragoza_S4
    Size: 20914512 bytes
    Format: application/pgp-keys
    URL: https://www.envidat.ch/dataset/572a6da6-b2fd-4635-bba6-dd2756c4632c/resource/c5dc051d-16e0-49cc-99cb-3bc105aaa390/download/zaragoza_s4.asc
    Description:

digital-zoning-plans

display_name: digital-zoning-plans

land-use-change

display_name: land-use-change

land-use-simulations

display_name: land-use-simulations

land-use-transformations

display_name: land-use-transformations

spatial-planning

display_name: spatial-planning


en:
Plant ecophysiological and associated environmental data for two tree species (*Fagus sylvatica* and *Quercus pubescens*) grown for five years in a factorial open-top climate chamber experiment (Model Ecosystem Facility, Birmensdorf, Switzerland) to test the long-term effects of heat (+5 °C) and soil drought (irrigation reduced by 50%). n = 4 trees per species and treatment, n = 48 trees total.
 Included data sheets:
- Environmental_Data.csv: Chamber-level environmental recorded every 10 minutes
- Tleaf.csv: Leaf temperatures recorded every 10 minutes
- Gas_exchange.csv: Leaf-level gas exchange data taken diurnally on four days during the growing season
- Leaf_traits.csv: Leaf functional traits
- TSMs_HSMs.csv: Photosynthetic thermal tolerance and leaf water potential data, summarized also in terms of leaf thermal safety margins and hydraulic safety margins, collected 3-4 times during the growing season
- Scorch.csv: Leaf-level leaf scorching data, including leaf thermal safety margins and scorching occurrence and presence, summarized by date

en: leaf-scorching quercus-pubescens thermal-safety-margins fagus-sylvatica hot-drought gas-exchange functional-traits hydraulic-safety-margins thermoregulation

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: Hydraulic stress limits thermal acclimation in trees under chronic drought

envi

en: Environment

en:
Resource Title: README.txt
    Size: 8110 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1fe7f58f-356a-4ed4-ae5f-a2b16755e9de/download/readme.txt
    Description: README file with more information about the dataset.

en:
Resource Title: Gas_exchange.csv
    Size: 4413 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/cc7e702f-6d53-4192-944c-7671eaecf5bc/download/gas_exchange.csv
    Description: Mean values taken for each tree across the growing season. Measurements were taken diurnally (~1 measurement/hr) with a Licor LI6800 matching ambient chamber conditions on 4 days during the growing season (1 day in June, July, August, September).

- Number of variables: 11
- Number of cases/rows: 48
- Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Species: Tree species
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- gsw.mean: Mean stomatal conductance to water vapor (mol m^-2 s^-1)
	- gsw.mean: Mean stomatal conductance rate (mol m^-2 s^-2)
	- Tdiff.mean: Mean difference between leaf and air temperature on the day of Licor measurements
	- lngsw.mean: Mean of the natural log of stomatal conductance
	- lngsw.mean~Tdiff.mean_slope: The slope of the linear least-squares relationship between the natural log of lngsw.mean and Tdiff.mean

en:
Resource Title: Gas_exchange.csv
    Size: 4424 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/df082744-69a0-49b6-81b7-c3f02d24c9f0/download/gas_exchange.csv
    Description: Leaf-level gas exchange collected diurnally for each tree on 4 days of the growing season and summarized to growing-season mean.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Species: Tree species
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- gsw.mean: Mean stomatal conductance to water vapor (mol m^-2 s^-1)
	- E.mean: Mean transpiration rate (mol m^-2 s^-2)
	- Tdiff.mean: Mean difference between leaf and air temperature on the day of Licor measurements
	- lnE.mean: Mean of the natural log of the transpiration rate
	- lnE.mean~Tdiff.mean_slope: The slope of the linear least-squares relationship between the natural log of lnE.mean and Tdiff.mean

en:
Resource Title: Tleaf.csv
    Size: 28028436 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1860aa5f-68f2-4889-b0c9-bd907e48111f/download/tleaf.csv
    Description: Tree-level leaf temperature data recorded every 10 minutes.

Variable List:
	- Timestamp (MM/DD/YYYY HH:MM)
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
 	- Species: Tree species
	- Tair: Air temperature (degrees C)
	- Tleaf: Leaf temperature (degrees C)
	- Tdiff: Leaf-to-air temperature differential (degrees C)

en:
Resource Title: Scorch.csv
    Size: 129956 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/e153f13e-330e-4c0a-8cff-59e625dc7e7c/download/scorch.csv
    Description: Tree-level leaf scorching occurrence and severity data summarized by date with daily leaf thermal safety margins.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Date (MM/DD/YYYY)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Species: Tree species
	- Tleaf: Leaf temperature (degrees C) *measured by an infrared sensor integrated into the Cavicam
	- Tcrit: Critical thermal threshold of Photosystem II (degrees C) *daily entries inherit the Tcrit measured onthe next measurement date and applied to the interval preceding it (or are forward-filled when Tcrit could not be estimated in August or September)
	- TSM: Leaf thermal safety margin (difference between Tcrit and Tleaf, in degrees C)
	- Scorch_binary: Binary indicating whether scorching occurred on that date (0 = no, 1 = yes)
	- Percent_affected: Percent of the camera window affected by scorching during a scorching event

en:
Resource Title: TSMs_HSMs.csv
    Size: 15217 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/6c897b79-4cc6-46f5-87f0-83275921ede9/download/tsms_hsms.csv
    Description: Tree-level photosynthetic thermal tolerance, leaf water potentials, thermal safety margins, and hydraulic safety margins measured 3-4 times per tree during the growing season.

Variable List:
	- TreeID: Unique identifier for individual trees
 	- Species: Tree species
	- Campaign: Month of the growing season in which data was collected
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Waterpotential: midday leaf waterpotential (MPa)
	- WPtlp: Waterpotential at leaf turgor-loss-point (MPa) *Measured by Mas, E., Cochard, H., Deluigi, J., Didion-Gency, M., Martin-StPaul, N., Morcillo, L., Valladares, F., Vilagrosa, A., & Grossiord, C. (2024). Interactions between beech and oak seedlings can modify the effects of hotter droughts and the onset of hydraulic failure. New Phytologist, 241(3), 1021-1034. https://doi.org/https://doi.org/10.1111/nph.19358
	- HSM: Hydraulic safety margin (difference between WPtlp and Waterpotential, in MPa)
	- Tcrit: Critical thermal threshold of Photosystem II (degrees C)
	- T50: High leaf temperature at which Photosystem II function declines by 50% (degrees C)
	- Tleaf.max: Maximum leaf temperature during the week preceding thermal tolerance measurement
	- TSM.min: Minimum leaf thermal safety margin during the week preceeding thermal tolerance measurement (difference between Tcrit and Tleaf.max, in degrees C)

en:
Resource Title: Leaf_traits.csv
    Size: 7772 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/eaf9d8ce-80f5-489f-af97-e80760927aee/download/leaf_traits.csv
    Description: Tree-level leaf functional trait data.

Variable List:
	- TreeID: Unique identifier for individual trees
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
 	- Species: Tree species
	- Leaf_width (cm)
	- Leaf_area (cm^2)
	- Stomatal_density (count per cm^2)
	- Pore_length: Stomatal pore length (micrometers)
	- Guard_cell_width: Stomatal guard cell width (micrometers)
	- Leaf_thickness (mm)
	- Epidermal_thickness (mm)
	- Parenchyma_thickness (mm)
	- Parenchyma:Epidermis: Ratio between parenchyma and epidermal thickness
	- Reflectance: Reflectance of photosynthetically active radiation (400-700), fraction
	- Transmittance: Transmittance of photosynthetically active radiation (400-700), fraction
	- Absorptance: Absorptance of photosynthetically active radiation (400-700), fraction
	- Absorbance: Optical absorbance of photosynthetically active radiation (400-700 nm), unitless
	- g1: Medlyn-style stomatal slope calculated with Licor LI6800 data

en:
Resource Title: README.txt
    Size: 8090 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/1f818ee5-bfba-4996-b8fb-e6dc1c96fbb4/download/readme.txt
    Description: README file with more information about the dataset.

en:
Resource Title: Environmental_Data.csv
    Size: 19996344 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/8780a01e-98aa-46bb-9938-ba8e0568fa20/resource/8113d780-83c8-43bd-a823-f726ad3f21ab/download/environmental_data.csv
    Description: Chamber-level abiotic data recorded every 10 minutes.

Variable List:
	- Time (MM/DD/YYYY HH:MM)
	- Chamber: open-top-chamber ID
	- Treatment: chamber abiotic treatment (C = control, H = heated, RM = reduced soil moisture, H_RM = heated and reduced soil moisture)
	- Heating: Yes or no
	- RM: Reduced soil moisture, yes or no
	- Tair: Air temperature (degrees C)
	- Tair_sd: Standard deviation of air temperature
	- RH: Relative humidity
	- RH_sd: Standard deviation of relative humidity
	- VPD: Vapor pressure deficit (kPa)
	- Tsoil: Soil temperature (degrees C)
	- Soil_m: Volumetric soil water content (m^3/m^3)
	- PPFD: Photosynthetic photon flux density (micromoles m^-2 s^-1) *collected from a weather station next to the open-top-chambers (50% intensity inside chambers)
	- windspeed: (m/s) *collected from a weather station next to the open-top-chambers

fagus-sylvatica

display_name: fagus-sylvatica

functional-traits

display_name: functional-traits

gas-exchange

display_name: gas-exchange

hot-drought

display_name: hot-drought

hydraulic-safety-margins

display_name: hydraulic-safety-margins

leaf-scorching

display_name: leaf-scorching

quercus-pubescens

display_name: quercus-pubescens

thermal-safety-margins

display_name: thermal-safety-margins

thermoregulation

display_name: thermoregulation


en:
Background
Urban ecosystems are associated with socio-ecological conditions that can filter and promote taxa. However, the strength of the effect of ecological filtering on biodiversity could vary among biotic and abiotic factors. Here, we provide the data used to investigate the effects of habitat amount, temperature, and host-enemy biotic interactions in shaping communities of cavity-nesting bees and wasps (CNBW) and their natural enemies. To do so, we installed trap-nests in 80 sites distributed along urban intensity gradients in 5 European cities (Antwerp, Paris, Poznan, Tartu and Zurich). We quantified the species richness and abundance of CNBW hosts and their natural enemies, as well as two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts).
The dataset contains:
* The taxonomic metrics on CNBW
* The taxonomic metrics on the natural enemies from CNBW
* The life-history traits and performance traits

en: urbanization cavity-nesting life-history-traits cities richness natural-enemies hymenoptera wasps hymennoptera bees performance-traits urban-ecology

en: Community structure, life-history traits and performance traits of urban cavity-nesting bees annd wasps

en:
Resource Title: Taxonomic metrics on CNBW
    Size: 14605 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/971340ee-519a-4616-a8fb-58a854a3374b/download/25042022_community_structure_life_history_site.csv
    Description: The data contains at the site level the species richness of cavity-nesting bees and wasps. It also contains site level estimates of the life-history traits and the performance traits.

We calculated species richness, abundance, and number of nests of the hatched hosts separately for bees and wasps. We calculated the abundance of hatched hosts as the number of brood cells where an individual emerged, i.e. the total number of brood cells minus the number of parasitized cells and the number of cells with no emergence for reasons other than parasitism.

City codes: An =Antwerp, Pa = Paris; Po = Poznan; Ta =Tartu; Zu= Zurich

en:
Resource Title: Information on the study sites
    Size: 14688 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/527f3701-eabd-4f19-a49c-890fd892c418/download/16072024_study_sties.csv
    Description: For each site, the IDs, city, coordinates, structure where the trapnest was attached and height is provided

en:
Resource Title: Performance traits and life-history traits
    Size: 411653 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/34eacb06-974a-43c5-9c9b-e347cd84705a/download/25042022_life_history_nest.csv
    Description: It contains the data of two performance traits (survival and parasitism) and two life-history traits (sex ratio and number of offspring per nest for the hosts) at the nest level.

We assessed performance traits, i.e. survival and parasitism, at the individual cell level. Specifically, for each cell within a nest, we noted whether the cell was alive or dead (survival), and whether it had a parasite or not (parasitism). Further, we calculated the parasitism rate as the number of cells with a parasite divided by the total number of cells. Concerning life-history traits, we calculated the total number of brood cells per nest as the total number of brood cells within a single nest, regardless of whether the larvae were dead, alive or parasitized. Finally, we used the probability that a femalehost emerged from a given cell as a proxy for the sex ratio. To do so, we first identified the sex of the individual hosts. Then, we noted it in a binary way to indicate whether the host was a female or not.  We could identify the sex of all hatched hosts. Further, because CNBW first lay females and then males, on some occasions we could also identify the host sex in dead and parasitized cells, that is, when we had already identified the sex of the preceding and the following cells.

en:
Resource Title: Predictors of the study
    Size: 32135 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/f510735e-de09-44fd-a355-997320ef1db1/download/predictors.non.scaled.csv
    Description:

en:
Resource Title: Taxonomic metrics on the natural enemies
    Size: 3882 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/1994598f-ea53-4394-b6de-9c5cd06ecc64/resource/1d628995-7010-42e5-b2b4-61e74ad78207/download/25042022_enemy_info.csv
    Description: It contains the species richness and the abundance of natural enemies per site.

bees

display_name: bees

cavity-nesting

display_name: cavity-nesting

cities

display_name: cities

hymennoptera

display_name: hymennoptera

hymenoptera

display_name: hymenoptera

life-history-traits

display_name: life-history-traits

natural-enemies

display_name: natural-enemies

performance-traits

display_name: performance-traits

richness

display_name: richness

urban-ecology

display_name: urban-ecology

urbanization

display_name: urbanization

wasps

display_name: wasps


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

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

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

envi

en: Environment

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

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

ecological-indicator-values

display_name: ecological-indicator-values

ecological-maps

display_name: ecological-maps

landolt

display_name: landolt

plants

display_name: plants

soil-mapping

display_name: soil-mapping

soil-moisture

display_name: soil-moisture

soil-ph

display_name: soil-ph

switzerland

display_name: switzerland


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

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

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

en:
Resource Title: Field station data (BTF)
    Size: 10564448 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/0f38b063-ae05-4dbb-8bcb-412742322356/resource/2023a762-91e8-4134-8375-5318d0931000/download/btffield.csv
    Description: Data file.

en:
Resource Title: Data plot of the field station (BTF)
    Size: 338704 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/0f38b063-ae05-4dbb-8bcb-412742322356/resource/1872c8f8-a9a2-404c-9daa-137438b57f57/download/btfplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Site aerial photo (Bettlachstock)
    Size: 8047175 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/0f38b063-ae05-4dbb-8bcb-412742322356/resource/14ff521f-c40e-4e41-80dc-d528ce67f2dc/download/btfront.jpg
    Description: Site aerial photo from both Bettlachstock stations. Source: Google. 2016. Site aerial photo from both Bettlachstock stations. Retrieved November 11, 2016, from https://www.google.ch/maps

format: jpeg

en:
Resource Title: Site photo of the forest station (BTB)
    Size: 450607 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/0f38b063-ae05-4dbb-8bcb-412742322356/resource/88f960c4-e12a-4920-9470-fd719e7341a7/download/btb.jpg
    Description: Site photo of the forest station from the side.

en:
Resource Title: Data plot of the forest station (BTB)
    Size: 272856 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/0f38b063-ae05-4dbb-8bcb-412742322356/resource/3aff106e-8797-464e-bd70-efdc4415e625/download/btbplot.pdf
    Description: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en:
Resource Title: Site photo of the field station (BTF)
    Size: 1053149 bytes
    Format: image/jpeg
    URL: https://www.envidat.ch/dataset/0f38b063-ae05-4dbb-8bcb-412742322356/resource/f14a8be4-9b7e-46de-a47b-f47380347bc8/download/btf.jpg
    Description: Site photo of the field station from the side.

en:
Resource Title: Data plot of the forest station (BTB)
    Size: 10615656 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/0f38b063-ae05-4dbb-8bcb-412742322356/resource/9c6f3b1e-08ca-4a04-9900-e3b3310ee5a9/download/btbforest.csv
    Description: Data file.

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed


de: Die Bodenkarte 1:5000 zeigt in diversen Themenkarten die Böden sowie deren Aufbau und Beschaffenheit. Es handelt sich um diverse Karten aus der kantonalen Bodenkartierung im Massstab 1:5'000, die seit 2024 läuft. Die Karten werden laufend fortgeführt und aktualisiert.

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.

de: AGIS Service Center Kanton Aargau

political_level: canton

de: Abteilung für Umwelt

de: geocat.ch Permalink

fr: geocat.ch permalien

it: geocat.ch link permanente

en: geocat.ch permalink

de: Bodenkarte 1:5000

de: AGIS Direktdownload

format: OCTET

value: Aargau-Kt - Geocat Harvester


asiatische-hornisse-individuen

de: Der Datensatz zeigt alle Einzelfunde (Individuen) der invasiven Asiatischen Hornisse im Kanton Aargau.

de: Landwirtschaft Aargau

de: Asiatische Hornisse Individuen

title_for_slug: asiatische-hornisse-individuen

agri

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

fr: Agriculture, pêche, sylviculture et alimentation

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

format: XML

media_type: application/xml


de: Daten der amtlichen Vermessung im Datenmodell Bund (DM.01-AV-CH). Fixpunkte: Die Datenebene enthält die Lagefixpunkte der Kategorie 1 (Punkte der Landesvermessung), der Kategorie 2 (Punkte des Kantons) und der Kategorie 3 (Punkte der amtlichen Vermessung) sowie die Höhenfixpunkte der Kategorie 1 (Punkte des Landesnivellement), der Kategorie 2 (Punkte des kantonalen Nivellement) und der Kategorie 3 (Punkte von kommunalen Nivellementen). Die Punkte stellen den Bezug zum Koordinatensystem her. Die Höhen bzw. Gebrauchshöhen stützen sich auf das offizielle Höhensystem des Landesnivellement von 1902 (LN02) ab. Die Genauigkeits- und Zuverlässigkeitsanforderungen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lage- und Höhengenauigkeit der Fixpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 28). Die äussere Zuverlässigkeit eines jeden Fixpunktes wird durch geeignete statistische Kenngrössen nachgewiesen (TVAV Art. 34). Bodenbedeckung: Die Datenebene enthält die Bodenbedeckungsflächen (Gebäude, Strassen, Gewässer, Wald, etc.), welche flächendeckend als Gebietsaufteilung definiert sind, die Gebäude- bzw. Assekuranznummern und die Objektnamen (z.B. Gebäudebezeichnungen, Gewässernamen, etc.). Die Genauigkeitsanforderungen der Bodenbedeckungsflächen sowie die aufzunehmenden Minimalflächen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit von Einzelpunkten wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 29). Einzelobjekte: Die Datenebene enthält Einzelobjekte (z.B. Mauern, Brunnen, Masten, Brücken, etc.), welche als Punkt-, Linien- oder Flächenelemente dargestellt werden. Die Genauigkeitsanforderungen der Einzelobjekte richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit der Einzelpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 29). Nomenklatur: Die Datenebene enthält die Flur-, Orts- und Geländenamen. Die Flurnamen beziehen sich auf Geländeteile und sind flächendeckend als Gebietsaufteilung abgebildet. Die Ortsnamen beziehen sich auf abgegrenzte Geländeteile und überlagern die Flurnamen. Die Geländenamen stehen für einzelne Geländepunkte, welche nicht Orts- und Flurnamen sind und weisen keine Abgrenzung auf. Liegenschaften: Die Datenebene enthält die Grenzpunkte, die Grundstücke bzw. Parzellen und die selbständigen und dauernden Rechte soweit diese flächenmässig ausgeschieden werden können. Die Genauigkeits- und Zuverlässigkeitsanforderungen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit der Grenzpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 31). Die Äussere Zuverlässigkeit der Grenzpunkte wird durch geeignete Kenngrössen nachgewiesen (TVAV Art. 34). Rohrleitungen: Die Datenebene enthält die Hochdruckleitungen für Gas. Die Genauigkeitsanforderungen der Rohrleitungen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit der Einzelpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 31). Gebäudeadressen: Die Datenebene enthält die Gebäudeadressen bestehend aus Haus- bzw. Polizeinummern sowie Strassen- und Platznamen. Hoheitsgrenzen: Die Datenebene enthält die Hoheitsgrenzpunkte und Hoheitsgrenzen (Gemeinde-, Bezirks-, Kantons- und Landesgrenze). Die Genauigkeits- und Zuverlässigkeitsanforderungen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit der Hoheitsgrenzpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 31). Die Äussere Zuverlässigkeit der Hoheitsgrenzpunkte wird durch geeignete Kenngrössen nachgewiesen (TVAV Art. 34). administrative Einteilungen: Die Datenebene enthält die administrativen Einteilungen einer Gemeinde bzw. eines Operates (Nummerierungsbereiche, Planeinteilungen und Toleranzstufeneinteilung). Datenformat INTERLIS (1 File pro Gemeinde) beinhaltet die folgenden Topics des Datenmodells der amtlichen Vermessung Bund (DM.01-AV-CH), Version 24: FixpunkteKategorie1, FixpunkteKategorie2, FixpunkteKategorie3, Bodenbedeckung, Einzelobjekte, Hoehen, Nomenklatur, Liegenschaften, Rohrleitungen, Nummerierungsbereiche, Gemeindegrenzen, Bezirksgrenzen, Kantonsgrenzen, Landesgrenzen, Planeinteilungen, TSEinteilung, Rutschgebiete, Gebaeudeadressen, PLZOrtschaft und Planrahmen. Datenformat Shape beinhaltet die obig aufgeführten Topics des Datenmodells der amtlichen Vermessung bzw. die folgenden Shapedateien (In Klammer ist der Geometrietyp angegeben): FP_Lagefixpunkte (Punkt), FP_Hoehenfixpunkte (Punkt), HGR_Hoheitsgrenzpunkte (Punkt), HGR_Gemeindegrenzen (Flaeche), HGR_Hoheitsgrenzabschnitte (Linie), GEB_Lokalisationsnamen (Punkt), GEB_Gebaeudeadressen (Punkt), AE_Mehrzweckkataster (Punkt), BB_ProjBoFlaechen (Flaeche), BB_ProjGebaeudenummern (Punkt), BB_ProjObjektnamen (Punkt), BB_BoFlaechen (Flaeche), BB_Gebaeudenummern (Punkt), BB_Objektnamen (Punkt), EO_Flaechenelemente (Flaeche), EO_Linienelemente (Linie), EO_Punktelemente (Punkt), EO_Objektnamen (Punkt), EO_Objektnummern (Punkt), RL_Rohrleitungen (Linie), LS_Grenzpunkte (Punkt), LS_ProjLiegenschaften (Flaeche), LS_ProjSelbstRechte (Flaeche), LS_Liegenschaften (Flaeche), LS_SelbstRechte (Flaeche), NK_Flurnamen (Flaeche) und NK_Nomenklatur (Punkt). Datenformat DXF Geobau beinhaltet die obig aufgeführten Topics des Datenmodells der amtlichen Vermessung in der Layerstruktur gemäss Datenreferenzmodell SN 612020.

de: Vermessungsamt

de: AV: Daten der amtlichen Vermessung, Datenmodell Bund


de: Daten der amtlichen Vermessung im vereinfachten Datenmodell (MOpublic). Fixpunkte: Die Datenebene enthält die Lagefixpunkte der Kategorie 1 (Punkte der Landesvermessung), der Kategorie 2 (Punkte des Kantons) und der Kategorie 3 (Punkte der amtlichen Vermessung) sowie die Höhenfixpunkte der Kategorie 1 (Punkte des Landesnivellement), der Kategorie 2 (Punkte des kantonalen Nivellement) und der Kategorie 3 (Punkte von kommunalen Nivellementen). Die Punkte stellen den Bezug zum Koordinatensystem her. Die Höhen bzw. Gebrauchshöhen stützen sich auf das offizielle Höhensystem des Landesnivellement von 1902 (LN02) ab. Die Genauigkeits- und Zuverlässigkeitsanforderungen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lage- und Höhengenauigkeit der Fixpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 28). Die äussere Zuverlässigkeit eines jeden Fixpunktes wird durch geeignete statistische Kenngrössen nachgewiesen (TVAV Art. 34). Bodenbedeckung: Die Datenebene enthält die Bodenbedeckungsflächen (Gebäude, Strassen, Gewässer, Wald, etc.), welche flächendeckend als Gebietsaufteilung definiert sind, die Gebäude- bzw. Assekuranznummern und die Objektnamen (z.B. Gebäudebezeichnungen, Gewässernamen, etc.). Die Genauigkeitsanforderungen der Bodenbedeckungsflächen sowie die aufzunehmenden Minimalflächen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit von Einzelpunkten wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 29). Einzelobjekte: Die Datenebene enthält Einzelobjekte (z.B. Mauern, Brunnen, Masten, Brücken, etc.), welche als Punkt-, Linien- oder Flächenelemente dargestellt werden. Die Genauigkeitsanforderungen der Einzelobjekte richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit der Einzelpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 29). Nomenklatur: Die Datenebene enthält die Flur-, Orts- und Geländenamen. Die Flurnamen beziehen sich auf Geländeteile und sind flächendeckend als Gebietsaufteilung abgebildet. Die Ortsnamen beziehen sich auf abgegrenzte Geländeteile und überlagern die Flurnamen. Die Geländenamen stehen für einzelne Geländepunkte, welche nicht Orts- und Flurnamen sind und weisen keine Abgrenzung auf. Liegenschaften: Die Datenebene enthält die Grenzpunkte, die Grundstücke bzw. Parzellen und die selbständigen und dauernden Rechte soweit diese flächenmässig ausgeschieden werden können. Die Genauigkeits- und Zuverlässigkeitsanforderungen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit der Grenzpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 31). Die Äussere Zuverlässigkeit der Grenzpunkte wird durch geeignete Kenngrössen nachgewiesen (TVAV Art. 34). Rohrleitungen: Die Datenebene enthält die Hochdruckleitungen für Gas. Die Genauigkeitsanforderungen der Rohrleitungen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit der Einzelpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 31). Gebäudeadressen: Die Datenebene enthält die Gebäudeadressen bestehend aus Haus- bzw. Polizeinummern sowie Strassen- und Platznamen. Hoheitsgrenzen: Die Datenebene enthält die Hoheitsgrenzpunkte und Hoheitsgrenzen (Gemeinde-, Bezirks-, Kantons- und Landesgrenze). Die Genauigkeits- und Zuverlässigkeitsanforderungen richten sich nach den Toleranzstufen (TVAV Art. 3). Die Lagegenauigkeit der Hoheitsgrenzpunkte wird als Standardabweichung (mittlere Fehler) definiert (TVAV Art. 31). Die Äussere Zuverlässigkeit der Hoheitsgrenzpunkte wird durch geeignete Kenngrössen nachgewiesen (TVAV Art. 34). Datenformat INTERLIS (1 File pro Gemeinde) beinhaltet die folgenden Topics des Datenmodells MOpublic: Control_points (Fixpunkte), Land_cover (Bodenbedeckung), Single_objects (Einzelobjekte), Heights (Hoehen), Local_names (Nomenklatur), Ownership (Liegenschaften), Pipelines (Rohrleitungen), Territorial_boundaries (Gemeindegrenzen und übrige Hoheitsgrenzen) und Building_addresses (Gebaeudeadressen). Datenformat Shape beinhaltet die obig aufgeführten Topics des Datenmodells MOpublic bzw. die folgenden Shapedateien (In Klammer ist der Geometrietyp angegeben): FP_LFP (Punkt), BB_BoFlaeche (Flaeche), BB_BBText (Punkt), BB_ProjBoFlaeche (Flaeche), BB_ProjBBText (Punkt), EO_Flaechenelement (Flaeche), EO_FlaechenelementText (Punkt), EO_Linienelement (Linie), EO_LinienelementText (Punkt), EO_Punktelement (Punkt), EO_PunktelementText (Punkt), NK_Namen (Flaeche), NK_NamenPos (Punkt), LS_Grenzpunkt (Punkt), LS_Liegenschaft (Flaeche), LS_LiegenschaftPos (Punkt), LS_SelbstRecht-Bergwerk (Flaeche), LS_SelbstRecht-BergwerkPos (Punkt), LS_ProjLiegenschaft (Flaeche), LS_ProjLiegenschaftPos (Punkt), LS_ProjSelbstRecht-Bergwerk (Flaeche), LS_ProjSelbstRecht-BergwerkPos (Punkt), RL_Linienelement (Linie), RL_LinienelementText (Punkt), GEM_Hoheitsgrenzpunkt (Punkt), GEM_Gemeindegrenze (Flaeche), GEB_Gebaeudeeingang (Punkt), GEB_LokalisationsNamePos (Punkt) und GEB_HausnummerPos (Punkt). Datenformat DXF beinhaltet die obig aufgeführten Topics des Datenmodells MOpublic in der Layerstruktur gemäss der Weisung Datenmodell «MOpublic», Kapitel 9.6 DXF.

de: AV: Daten der amtlichen Vermessung, vereinfachtes Datenmodell MOpublic


betriebsstandorte

de: Als Betrieb gilt ein landwirtschaftliches Unternehmen, das Pflanzenbau oder Nutztierhaltung oder beide Betriebszweige betreibt. Umfasst ein Betrieb mehrere Produktionsstätten, so gilt als Betriebsstandort/Betriebszentrum der Ort, an dem sich das Hauptökonomiegebäude oder das Schwergewicht der Betriebstätigkeit befindet.

de: Betriebsstandorte

title_for_slug: betriebsstandorte


asiatische-hornisse-nester-inaktiv

de: Der Datensatz zeigt alle zerstörten Nester der invasiven Asiatischen Hornisse im Kanton Aargau. Die Nester wurden entfernt und vernichtet.

de: Das AGIS Service Center unterstützt als kantonale Koordinationsstelle die Bereitstellung von Geoinformationen und Metadaten der kantonalen Verwaltung. Die zuständigen kantonalen Fachstellen stellen die öffentlichen Geodaten des Kantons Aargau mittels der Infrastruktur des AGIS Service Center in der Informatik Aargau als Webservices und zum Download bereit.

de: Asiatische Hornisse Nester zerstört

title_for_slug: asiatische-hornisse-nester-inaktiv

envi

de: Umwelt


de: Die Polygone zeigen die 1 km-Umkreise um die Fundorte der invasiven Asiatischen Hornisse im Kanton Aargau.

de: AGIS Service Center Kanton Aargau

de: geocat.ch Permalink

de: Asiatische Hornisse 1km Puffer