en:
We modelled the spatial distribution of 20 permanent grassland habitats at the level of phytosociological alliances according to the Swiss habitat typology (TypoCH; Delarze et al. 2015) at 10x10 m resolution across Switzerland. The 20 grassland habitat types belong to the following habitat groups: fens, wet meadows, raised bogs, re-seeded and heavy fertilized grasslands, dry grasslands, nutrient-poor alpine and subalpine grasslands, nutrient-rich pastures and meadows as well as fallow grasslands.
We followed a two-step approach:
(1) Ensemble models provide **distribution maps of the 20 individual grassland habitat types**, using training data from various sources. Predictors were Copernicus Sentinel satellite imagery and variables describing climate, soil and topography. The performance of these maps was assessed with the True Skill Statistics and split‐sampling of the data.
Available maps for each grassland habitat: (1) *Map of the median of predicted probability of occurrence*; (2) *Map of the standard deviation of the predicted probability of occurrence* (available upon request); (3) *Binary presence/absence map* (available upon request). For an overview, see *Overview: Maps of the individual grassland habitats*.
(2) **Combined maps**: The individual maps were combined into countrywide maps of the most and second most likely habitat type, respectively, using an expert‐based weighting approach. The performance of the combined map for the most likely habitat type was assessed via an independent testing dataset and a comparison of the predicted habitat‐type proportions with extrapolations from field surveys.
Available combined maps: Map of the most likely habitat type (M1F; after regional corrections); Map of the second most likely habitat type (M2); Map of the most likely habitat type without regional corrections (available upon request); Map of the weighted median of the predicted probability of occurrence for the most/second most likely habitat type, respectively (available upon request); map of the ratio of the probabilities of occurrence of the most and second most likely habitat types (available upon request)

en: typoch milieux-naturels schweiz fettwiesen flachmoore remote-sensing lebensraumkarte distribution-models magerrasen trockenrasen bogs dry-grasslands lebensraum fens sentinel

envidat

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

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

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

de: EnviDat

en: Distribution maps of permanent grassland habitats for Switzerland

de:
Resource Title: Map for TypoCH 2.2.1 (Magnocaricion + Cladietum)
    Size: 504731638 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/c2c06c9e-c0c5-4477-90ea-5fca0fb5caab/download/l221_median.tif
    Description: Probability of occurrence for *Magnocaricion* and *Cladietum* (TypoCH 2.2.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

format: TIFF

media_type: image/tiff

de:
Resource Title: Map for TypoCH 4.6 (Fallow/Abandoned grassland)
    Size: 638711608 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/ad717a5d-778b-4830-9dae-fcae0758fe61/download/l46_median.tif
    Description: Probability of occurrence for fallow/abandoned grasslands (TypoCH 4.6) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Overview: Maps of the individual grassland habitats
    Size: 2447652 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/ac1c81ca-89d9-4678-8baf-a23691af9a49/download/maps_individual_habitats.pdf
    Description: Countrywide ensemble maps of the 20 grassland habitat types

(1) Median predicted probability of occurrence

(2) Standard deviation of predicted probability of occurrence

(3) Presence/Absence map

de:
Resource Title: Map for TypoCH 2.2.3 (Caricion davallianae)
    Size: 603396500 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/beb9dca9-cd4c-4654-93f3-dc2a3342e65a/download/l223_median.tif
    Description: Probability of occurrence for *Caricion davallianae* (TypoCH 2.2.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Overview: individual grassland habitats in the combined map
    Size: 277471 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/63d14be6-ee58-4033-a16f-63175794b6b3/download/summary_grassland.pdf
    Description: Overview of the occurrence of the individual habitat types in the combined map (M1F):

For each grassland habitat type, its predicted occurrence is shown per elevation, slope, aspect and biogeographic region.

de:
Resource Title: Map for TypoCH 4.5.3 (Cynosurion)
    Size: 603546258 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/1ba6d6fb-66c0-4e48-b10f-137433a32732/download/l453_median.tif
    Description: Probability of occurrence for *Cynosurion* (TypoCH 4.5.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map of the second most likely grassland habitat type
    Size: 3084994590 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/18319e46-e740-4e56-804b-9b4469a2d072/download/m2.tif
    Description: Map of the second most likely grassland habitat type at 10x10 m resolution; Coordinate System: CH1903+_LV95

Value:	 TypoCH    Name
1:    2.2.1    *Magnocaricion* + *Cladetium*
2:    2.2.2    *Caricion fuscae*
3:	 2.2.3	*Caricion davallianae*
4:	 2.3.1	*Molinion	*
5:	 2.3.2/3	*Calthion* + *Filipendulion*
6:	 2.4.1	*Sphagnion magellanici *
7:	 4.0.2	Re-seeded and heavy fertilized grassland/Kunstrasen
8:	 4.2.1/2/3	*Stipo-Poion*, *Xerobromion*, *Diplachnion*
9:	 4.2.4	*Mesobromion *
10:	 4.3.1	*Seslerion*
11:	 4.3.2/4	*Caricion firmae* + *Elynion*
12:	 4.3.3	*Caricion ferrugineae*
13:	 4.3.5	*Nardion*
14:	 4.3.6	*Festucion variae*
15:	 4.3.7	*Caricion curvulae*
16:	 4.5.1	*Arrhenatherion*
17:	 4.5.2	*Polygono-Trisetion*
18:	 4.5.3	*Cynosurion*
19:  4.5.4	*Poion alpinae*
20: 	  4.6	Fallow grassland/Grasbrachen

de:
Resource Title: List of modelled grassland habitat types
    Size: 439991 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/0ca16003-d007-43f3-a5da-bbae47e7855d/download/modelled_grasslandhabitattypes.pdf
    Description: List of the 20 grassland habitat types modelled

Attributes: TypoCH, Modelled, Latin, Français, Deutsch, Italiano, English

de:
Resource Title: Map for TypoCH 4.5.2 (Polygono-Trisetion)
    Size: 604765764 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/96ad41bb-dec5-4be4-a14a-0cbc2170d458/download/l452_median.tif
    Description: Probability of occurrence for *Polygono-Trisetion* (TypoCH 4.5.2) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.3.2/4 (Caricion firmae + Elynion)
    Size: 483551196 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/ee7b72e2-5b40-4a55-9132-2ce8979f0abc/download/l432_434_median.tif
    Description: Probability of occurrence for *Caricion firmae* (TypoCH 4.3.2) and *Elynion* (TypoCH 4.3.4) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.5.4 (Poion alpinae)
    Size: 590805046 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/85401a15-993d-499e-927d-284f5a5824b0/download/l454_median.tif
    Description: Probability of occurrence for *Poion alpinae* (TypoCH 4.5.4) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.3.5 (Nardion)
    Size: 512834428 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/39cb15f2-2f1c-4ec4-8e21-26466ebe8d48/download/l435_median.tif
    Description: Probability of occurrence for *Nardion* (TypoCH 4.3.5) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map of the most likely grassland habitat type
    Size: 49162944 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/69d45303-8a2e-4931-8270-9e2867a1c1ca/download/m1f.tif
    Description: Final combined map of the most likely grassland habitat type (i.e., after regional corrections) at 10x10 m resolution

Coordinate System: CH1903+_LV95

Value:	       TypoCH          Name
1:                     2.2.1              *Magnocaricion* + *Cladetium*
2:                     2.2.2              *Caricion fuscae*
3:	 2.2.3	*Caricion davallianae*
4:	 2.3.1	*Molinion	*
5:	 2.3.2/3	*Calthion* + *Filipendulion*
6:	 2.4.1	*Sphagnion magellanici *
7:	 4.0.2	Re-seeded and heavy fertilized grassland/Kunstrasen
8:	 4.2.1/2/3	*Stipo-Poion*, *Xerobromion*, *Diplachnion*
9:	 4.2.4	*Mesobromion *
10:	 4.3.1	*Seslerion*
11:	 4.3.2/4	*Caricion firmae* + *Elynion*
12:	 4.3.3	*Caricion ferrugineae*
13:	 4.3.5	*Nardion*
14:	 4.3.6	*Festucion variae*
15:	 4.3.7	*Caricion curvulae*
16:	 4.5.1	*Arrhenatherion*
17:	 4.5.2	*Polygono-Trisetion*
18:	 4.5.3	*Cynosurion*
19:  4.5.4	*Poion alpinae*
20: 	  4.6	Fallow grassland/Grasbrachen

de:
Resource Title: Map for TypoCH 4.3.7 (Caricion curvulae)
    Size: 541733778 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/91752954-5a53-416c-989b-36f04df29d5e/download/l437_median.tif
    Description: Probability of occurrence for *Caricion curvulae* (TypoCH 4.3.7) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.4.1 (Sphagnion magellanici)
    Size: 500506898 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/d95f49f4-9f29-486f-aebd-ec8d7faac204/download/l241_median.tif
    Description: Probability of occurrence for *Sphagnion magellanici* (TypoCH 2.4.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.5.1 (Arrhenatherion)
    Size: 624559384 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/08575677-bce9-4f88-a47e-a7a5f13aaee1/download/l451_median.tif
    Description: Probability of occurrence for *Arrhenatherion* (TypoCH 4.5.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.3.1 (Seslerion)
    Size: 518699774 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/bd6b2b47-349d-4a69-83da-87437c40281d/download/l431_median.tif
    Description: Probability of occurrence for *Seslerion* (TypoCH 4.3.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.2.2 (Caricion fuscae)
    Size: 592984534 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/16d79e2b-5e6f-4031-ab47-8228a75b857a/download/l222_median.tif
    Description: Probability of occurrence for *Caricion fuscae* (TypoCH 2.2.2) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.3.3 (Caricion ferrugineae)
    Size: 493675110 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/8644ffa8-5409-4e17-bc21-4d0431b0926b/download/l433_median.tif
    Description: Probability of occurrence for *Caricion ferrugineae* (TypoCH 4.3.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.3.1 (Molinion)
    Size: 578477498 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/15543981-f701-4273-a63f-5a7db98096b7/download/l231_median.tif
    Description: Probability of occurrence for *Molinion* (TypoCH 2.3.1) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.3.6 (Festucion variae)
    Size: 442803704 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/62d767ef-cbf5-4159-997c-b3e1fb1bbca2/download/l436_median.tif
    Description: Probability of occurrence for *Festucion variae* (TypoCH 4.3.6) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 2.3.2/3 (Calthion + Filipendulion)
    Size: 524488494 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/0026fd29-8bee-46f8-9815-5c489fae506d/download/l232_233_median.tif
    Description: Probability of occurrence for *Calthion* (TypoCH 2.3.2)  and *Filipendulion* (TypoCH 2.3.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.2.1/2/3 (Stipo-Poion/Cirsio-Brachypodion/Xerobromion)
    Size: 363839680 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/2569b6bf-56f9-4532-a2c8-c3c67c81916a/download/l421_2_3_median.tif
    Description: Probability of occurrence for *Stipo Poion* (TypoCH 4.2.1.1), *Cirsio-Brachypodion* (TypoCH 4.2.1.2), *Xerobromion* (TypoCH 4.2.2) and *Diplachnion* (TypoCH 4.2.3) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

de:
Resource Title: Map for TypoCH 4.2.4 (Mesobromion)
    Size: 513903476 bytes
    Format: image/tiff
    URL: https://www.envidat.ch/dataset/afbb1c97-937a-4b21-aa95-a3346ee4339d/resource/e06daaa9-70a1-4098-a92d-36bda23ef3c6/download/l424_median.tif
    Description: Probability of occurrence for *Mesobromion* (TypoCH 4.2.4) as predicted by the ensemble models

Values: 0-1000 corresponding to probabilities of occurrence from 0-1

Coordinate System: CH1903+_LV95

Spatial resolution: 10x10m

Remarks: No masking applied to remove non-grassland areas such as forested areas, etc.

bogs

display_name: bogs


$oid: OBSOLETE

en:
Lebensraumkarte der Schweiz/La carte des milieux naturels de Suisse
The FOEN funded project ‘Developing a Habitat Map of Switzerland’ conducted at the WSL, has produced a map of Swiss habitats according to the TypoCH classification (Delarze et al. 2015) wall-to-wall across the whole of Switzerland, to at least the classification’s 2nd level of detail (where possible to the 3rd level of detail). The implementation of the Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only.
Habitats are mapped through a variety of approaches that can be grouped as either:
1: Derived from the existing Swiss-wide high quality landcover mapping from Swisstopo’s Topographical Landscape Model (TLM), 2: Modelled within the project using Random Forest or Ensemble Modelling techniques to model the spatial distribution of individual habitat types, 3: Combining existing species distribution models to determine habitat types, or 4: Classification with relatively simple rule-sets based on auxiliary spatial datasets, i.e. vegetation height models, the digital terrain model, the normalised difference vegetation index (NDVI) derived from aerial imagery and/or time-series of growing season Sentinel-2 satellite imagery. Further detail on the methodology can be found within the README document.

en: remote-sensing grassland typoch wetlands shrub-forest modelling lebensraumkarte forest lebensraum habitat random-forest milieux-naturels ensemble-modelling

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: The Habitat Map of Switzerland v1

type: dataset

key: guid

key: uri

value: Envidat Harvester

envi

de: Umwelt

en: Environment

fr: Environnement

it: Ambiente

de:
Resource Title: The Habitat Map of Switzerland BE v1 20220316, Canton Bern, file geodatabase (zipped)
    Size: 902453268 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/5faf9afb-4f3f-4610-816a-e2b1797d2f90/download/habitatmap_be_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Bern, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

format: ZIP

media_type: application/zip

de:
Resource Title: The Habitat Map of Switzerland VD v1 20220316, Canton Vaud, file geodatabase (zipped)
    Size: 429982792 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/a473ef53-fcbb-4fbe-b96c-d3af37a2f5ef/download/habitatmap_vd_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Vaud, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland OW v1 20220316, Canton Obwalden, file geodatabase (zipped)
    Size: 81300826 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/566520fe-fd88-4ebd-967d-92b18f05732a/download/habitatmap_ow_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to the borders of canton Obwalden, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert)

de:
Resource Title: The Habitat Map of Switzerland FR v1 20220316, Canton Fribourg, file geodatabase (zipped)
    Size: 250335387 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/adc5828d-b325-488b-a68a-54d8c2ce90ca/download/habitatmap_fr_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Fribourg, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland TG v1 20220316, Canton Thurgau, file geodatabase (zipped)
    Size: 171610835 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/d5c43322-e69f-4d14-a8ea-fb1ef7c80276/download/habitatmap_tg_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Thurgau, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland GL v1 20220316, Canton Glarus, file geodatabase (zipped)
    Size: 125987723 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/e4ff3264-2099-4dd4-be7c-8b5423e6dc6d/download/habitatmap_gl_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Glarus, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland TI v1 20220316, Canton Ticino, file geodatabase (zipped)
    Size: 398802624 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/915d73d5-fa24-4529-b1b1-14e2257f05aa/download/habitatmap_ti_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Ticino, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland BL v1 20220316, Canton Basel-Landschaft, file geodatabase (zipped)
    Size: 125527511 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/5ca4c251-d937-48c6-b438-0b9d165b3a2a/download/habitatmap_bl_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Basel-Landschaft, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland GR v1 20220316, Canton Grisons, file geodatabase (zipped)
    Size: 882958466 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/d99e679c-66d7-4f28-ae3b-c79028c7cb5a/download/habitatmap_gr_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Grisons, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland ZH v1 20220316, Canton Zurich, file geodatabase (zipped)
    Size: 331061308 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/a1028a9b-ec2d-4e1c-a66b-3eb67356d17c/download/habitatmap_zh_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Zurich, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland AI v1 20220316, Canton  Appenzell Innerrhoden, file geodatabase (zipped)
    Size: 94657999 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/49a5a549-0d9b-4e78-949f-38cd600ad9a8/download/habitatmap_ai_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Appenzell Innerrhoden, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland VS v1 20220316, Canton Valais, file geodatabase (zipped)
    Size: 632034849 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/ba13743b-c52a-4e32-9183-d41baada6db2/download/habitatmap_vs_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Valais, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland NE v1 20220316, Canton Neuchatel, file geodatabase (zipped)
    Size: 101062174 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/8b5267ff-4164-49a6-9b89-3e7f18fab48d/download/habitatmap_ne_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Neuchatel, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland SO v1 20220316, Canton Solothurn, file geodatabase (zipped)
    Size: 182529453 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/3e1d9c07-752b-46fc-b1a2-e92938a14a62/download/habitatmap_so_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Solothurn, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland SH v1 20220316, Canton Schaffhausen, file geodatabase (zipped)
    Size: 30708254 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/034af52e-5ca7-48cc-a917-ac3002279c3e/download/habitatmap_sh_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Schaffhausen, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland UR v1 20220316, Canton Uri, file geodatabase (zipped)
    Size: 178349503 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/c39c7fd3-fc50-47cb-9f8a-32091d050fdd/download/habitatmap_ur_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Uri, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland CH v1 20220316, file geodatabase
    Size: 5282265573 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/818739ba-cf12-492f-8deb-4f983ad018cf/download/habitatmap_ch_v1_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert).
V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland SG v1 20220316, Canton St Gallen, file geodatabase (zipped)
    Size: 413159936 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/4f91958c-6840-46ec-bfd9-3a8091647f42/download/habitatmap_sg_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton St Gallen, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland NW v1 20220316, Canton Nidwalden, file geodatabase (zipped)
    Size: 60973034 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/8ea5da1f-7349-41ea-b14e-cb7354c4b18e/download/habitatmap_nw_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Nidwalden, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland JU v1 20220316, Canton Jura, file geodatabase (zipped)
    Size: 104065694 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/3520ac89-0d9c-46ce-a8bb-93c98387f8f7/download/habitatmap_ju_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Jura, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland BS v1 20220316, Canton Basel-Stadt, file geodatabase (zipped)
    Size: 20411153 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/f6c7421a-10b6-4be0-8195-361cc89e2487/download/habitatmap_bs_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Basel-Stadt, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland AR v1 20220316, Canton Appenzell Ausserrhoden , file geodatabase (zipped)
    Size: 79313041 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/8bd032f3-77d8-4bd9-b0ec-9d90f2280757/download/habitatmap_ar_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Appenzell Ausserrhoden, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland SZ v1 20220316, Canton Schwyz, file geodatabase (zipped)
    Size: 170891527 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/2f15e32b-badb-4fa9-885a-4c40d940eed5/download/habitatmap_sz_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Schwyz, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: Data Description
    Size: 878660 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/2f256f2b-ff06-45d4-b14c-553d2a452765/download/data_description_lebensraumkarte_v1_vdc.pdf
    Description: Metadata document describing the methodology used to develop the dataset

format: PDF

media_type: application/pdf

de:
Resource Title: The Habitat Map of Switzerland LU v1 20220316, Canton Lucerne, file geodatabase (zipped)
    Size: 273022968 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/60c3d9eb-9d0a-44f4-ba0c-495946fba6a9/download/habitatmap_lu_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Lucerne, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland ZG v1 20220316, Canton Zug, file geodatabase (zipped)
    Size: 56113599 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/40ad5f35-6643-4a9c-b834-c38af6e56d68/download/habitatmap_zg_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Zug, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland GE v1 20220316, Canton Geneva, file geodatabase (zipped)
    Size: 51781819 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/cc82c04f-be5c-467d-96f1-10bd00a6a475/download/habitatmap_ge_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Geneva, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size

de:
Resource Title: The Habitat Map of Switzerland AG v1 20220316, Canton Aargau, file geodatabase (zipped)
    Size: 292699155 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/668aad91-3d28-4b36-a2c7-fd835353a1e6/resource/9944beb4-9ee9-4092-a6a2-34d359103f42/download/habitatmap_ag_20220316.zip
    Description: The Habitat Map of Switzerland is a vector data set, where each polygon of the dataset is classified to one habitat type only. Available here is the dataset clipped to a 2km buffer around the borders of canton Aargau, as a zipped folder containing a file geodatabase (.gdb, ArcGIS), the data description document (pdf) and symbology layer (lyr, lyrx, qlr) for the legend as the data appears on the WSL's virtual data centre (https://vdc.wsl.ch/vdc_expert). V1 20220316 has been improved (from V1 20211118) to repair geometry errors, and simplify geometry to reduce data size


en: This is a technical documentation of the procedure to run the Weather Research and Forecasting (WRF) model over complex alpine terrain using Consortium for Small-Scale Modeling (COSMO) reanalysis by the Federal Office of Meteorology and Climatology (MeteoSwiss) as initial and boundary conditions (COMSO-WRF). The setup is adapted for very high resolution simulations based on COSMO-2 (2.2 km resolution) reanalysis. This document gives an overview over steps to setup COSMO-WRF and adaptations needed to run COSMO-WRF. Additionally, the calculation of precipitation rate at a horizontal plane and remapping COSMO-WRF output on Swiss coordinates are documented.

en: high-resolution complex-terrain numerical-simulation cosmo-wrf meteoswiss

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

de: Umwelt

de:
Resource Title: MeteorologicalData
    Size: 8317 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/54f99acd-e86a-4513-b1ea-d59d678f13ed/download/meteorologicaldata.zip
    Description: Scripts to process meteorological data (see Section 2 in COSMOWRFdocumentation.pdf).

de:
Resource Title: WPSrun
    Size: 6718 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/47a716bd-a1e5-4220-b9cc-53ef80089c7b/download/wpsrun.zip
    Description: Scripts to run the WRF pre-processing (WPS) for COSMO-WRF simulation (see Section 5 in COSMOWRFdocumentation.pdf)

de:
Resource Title: WRFrun
    Size: 8787 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/168aba72-d098-4d3b-a4d8-445ad91d5d10/download/wrfrun.zip
    Description: Scripts to run COSMO-WRF simulation (see Section 6 in COSMOWRFdocumentation.pdf)

de:
Resource Title: StaticData
    Size: 28859 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/86b121da-35f3-4096-88cd-1324ee511ac8/download/staticdata.zip
    Description: Scripts to process geographical/static data (see Section 3 in COSMOWRFdocumentation.pdf).
- ascii_to_bin_landuse.f90
- ascii_to_bin_soiltype.f90
- ascii_to_bin_topo_wgs84_ws2sf1.f90
- see_slopes.ncl
- soiltype_writing.py
- toposmooth_wgs84_cosmobound.ncl
- write_geogrid.o

de:
Resource Title: Postprocessing
    Size: 3782 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/316468d8-3fe9-4a1c-95e0-6595a4862396/download/postprocessing.zip
    Description: Postprocessing scripts to map WRF output on swiss coordinates (see Section 7 in COSMOWRFdocumentation.pdf)

de:
Resource Title: WPSSetup
    Size: 30162 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/a4f6bae9-dee7-4359-8c07-527ebbc6040f/download/wpssetup.zip
    Description: Scripts that need to be changed to compile WPS (see COSMOWRFdocumentation.pdf, Section 4)

de:
Resource Title: COSMO-WRF documentation v1.0
    Size: 275721 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/30c985c3-4a14-4cd5-936e-9eb848175812/resource/3a038630-044e-4769-9dd4-9032d7f337eb/download/cosmowrfdocumentation.pdf
    Description: Gerber, Franziska; Sharma, Varun (2018). Running COSMO-WRF on very-high resolution over complex terrain. EnviDat. doi:10.16904/envidat.35

Documentation about the procedure to run COSMO-WRF

complex-terrain

display_name: complex-terrain

cosmo-wrf

display_name: cosmo-wrf

high-resolution

display_name: high-resolution

meteoswiss

display_name: meteoswiss

numerical-simulation

display_name: numerical-simulation


en:
Supplementary material for the publication " Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using material substance and energy flow analysis" Burg, V., b, Rolli, C., Schnorf, V., Scharfy, D., Anspach, V., Bowman, G.
Today's agro-food system is typically based on linear fluxes (e.g. mineral fertilizers importation), when a circular approach should be privileged. The production of biogas as a renewable energy source and digestate, used as an organic fertilizer, is essential for the circular economy in the agricultural sector. This study investigates the current utilization of wet biomass in agricultural anaerobic digestion plants in Switzerland in terms of mass, nutrients, and energy flows, to see how biomass use contributes to circular economy and climate change mitigation through the substitution effect of mineral fertilizers and fossil fuels. We quantify the system and its benefits in details and examine future developments of agricultural biogas plants using different scenarios. Our results demonstrate that agricultural anaerobic digestion could be largely increased, as it could provide ten times more biogas by 2050, while saving significant amounts of mineral fertilizer and GHG emissions.

en: biogas mfa efa circular-economy sfa

en: Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using substance and energy flow analysis

format: XLS

biogas

display_name: biogas

circular-economy

display_name: circular-economy

efa

display_name: efa

mfa

display_name: mfa

sfa

display_name: sfa


en:
There are many sources providing atmospheric weather station data for the Antarctic continent. However, variable naming, timestamps and data types are highly variable between the different sources. The published python code intends to make processing of different AWS sources from Antarctica easier. For all datasets that are taken into account variables are renamed in a consistent way. Data from different sources can then be handled in one consistent python dictionary.
The following data sources are taken into account:
* AAD: Australian Antarctic Division (https://data.aad.gov.au/aws)
* ACECRC: Antarctic Climate and Ecosystems Cooperative Research Centre by the Australian Antarctic Division
* AMRC: Antarctic Meteorological Research Center (ftp://amrc.ssec.wisc.edu/pub/aws/q1h/)
* BAS: British Antarctic Survey (ftp://ftp.bas.ac.uk/src/ANTARCTIC_METEOROLOGICAL_DATA/AWS/; https://legacy.bas.ac.uk/met/READER/ANTARCTIC_METEOROLOGICAL_DATA/)
* CLIMANTARTIDE: Antarctic Meteo-Climatological Observatory by the italian National Programme of Antarctic Research (https://www.climantartide.it/dataaccess/index.php?lang=en)
* IMAU: Institute for Marine and Atmospheric research Utrecht (Lazzara et al., 2012), https://www.projects.science.uu.nl/iceclimate/aws/antarctica.ph
* JMA: Japan Meteorological Agency (https://www.data.jma.go.jp/antarctic/datareport/index-e.html)
* NOAA: National Oceanic and Atmospheric Administration (https://gml.noaa.gov/aftp/data/meteorology/in-situ/spo/)
* Other/AWS_PE: Princess Elisabeth (PE), KU Leuven, Prof. N. van Lipzig, personal communication
* Other/DDU_transect: Stations D-17 and D-47 (in transect between Dumont d’Urville and Dome C, Amory, 2020)
* PANGAEA: World Data Center (e.g. König-Langlo, 2012)
Important notes
* Information about data sources is available. Some downloading scripts are included in the provided code. However, users should make sure to comply with the data providers terms and conditions.
* Given changing download options of the differnent institutions the above links may not permanently work and data has to be retrieved by the user of this dataset.
* No quality control is applied in the provided preprocessing software - quality control is up to the user of the datasets. Some dataset are quality controlled by the owner.
Acknowledgements
--------------------------
We thank all the data providers for making the data publicly available or providing them upon request. Full acknowledgements can be found in Gerber et al., submitted.
References
---------------
Amory, C. (2020). “Drifting-snow statistics from multiple-year autonomous measurements in Adélie Land, East
Antarctica”. The Cryosphere, 1713–1725. doi: 10.5194/tc-14-1713-2020
Gerber, F., Sharma, V. and Lehning, M.: CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB, JGR - Atmospheres, submitted.
König-Langlo, G. (2012). “Continuous meteorological observations at Neumayer station (2011-01)”. Alfred Wegener
Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, doi: 10.1594/PANGAEA.
775173

en: antarctica cryowrf python aws consistent

en: Preprocessing Antarctic Weather Station (AWS) data in python

antarctica

display_name: antarctica

aws

display_name: aws

consistent

display_name: consistent

cryowrf

display_name: cryowrf

python

display_name: python


en: This dataset contains surface datasets (in particular canopy structure fields) and meteorological input (water years 2016-2021) required to run the snow model FSM2 over the Fluela valley. Land surface datasets are available for a 1.5x2.5km model domain at 2m spatial resolution, meteorological input at hourly resolution is provided for a point and corresponds to the location of the automatic weather station / snow measurement field 5DF in Davos. Corresponding FSM2 simulations are used and analyzed in the publication 'Canopy structure, topography and weather are equally important drivers of small-scale snow cover dynamics in sub-alpine forests' by Mazzotti et al. (submitted to HESSD). This publication should be cited whenever the dataset is used.

en: snow-modeling meteorological-data forest-snow forest-canopy snow-hydrology

en: Input datasets for forest snow modelling in Fluela valley, WY 2016-21

de:
Resource Title: Meterorological forcing
    Size: 4259392 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/fe3b38ca-11b9-4e06-b776-d36b06d291e2/resource/ac4d545e-d3dd-460d-9570-a73c49b879ad/download/forcing_5df.nc
    Description: Mmeteorological forcing data for FSM2 at hourly resolution, corresponding to the location of the 5DF automatic weather station / snow measurement field 5DF. Data is available from 1 Sept 2015 to 21 Aug 2021 (WY 2016-21)

de:
Resource Title: Surface data
    Size: 74960321 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/fe3b38ca-11b9-4e06-b776-d36b06d291e2/resource/966eaf35-9e69-4303-a869-9913fba984ba/download/fluela_surf_data.nc
    Description: Surface fields for model domain at 2m spatial resolution, including simulation domain, elevation, and canopy structure datasets

forest-canopy

display_name: forest-canopy

forest-snow

display_name: forest-snow

meteorological-data

display_name: meteorological-data

snow-hydrology

display_name: snow-hydrology

snow-modeling

display_name: snow-modeling


en:
Input data for the following research article: Impact assessment of homogenised snow depth series on trends
The data consists of separate output files from the following homogenisation methods:
* Climatol
* HOMER
* interpQM
The variable is seasonal mean snow depth (HSavg)
plot.data is an additional data frame containing trends of HSavg (station, method, value, pvalue, altitude)

en: snow-depth homogenisation long-term-trends extreme-values climatol interpqm

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: Input data for impact assessment of homogenised snow series

climatol

display_name: climatol

extreme-values

display_name: extreme-values

homogenisation

display_name: homogenisation

interpqm

display_name: interpqm

long-term-trends

display_name: long-term-trends

snow-depth

display_name: snow-depth


en: SnowMicroPen (SMP) measurements and manual snowpits from Dronning Maud Land, East Antarctica. Measurements were taken in the vicinity of the Belgium Princess Elisabeth Station (PEA), in a transect towards the coast, and on the Lokeryggen and Hammarryggen Ice Rises near the coast. Measurements were taken during 3 individual campaigns in the 2016-2017, 2018-2019 and 2019-2020 field seasons.

en: antarctica snow-density microstructure snowmicropen snow-density-profile

en: SnowMicroPen measurements and manual snowpits from Dronning Maud Land, East Antarctica

envi

en: Environment

de:
Resource Title: Manual snow pits and other snow density measurements
    Size: 30761 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/b234793d-1a5f-47f8-a7e2-c9e6099dbb7a/download/snowpits.txt
    Description: Manual snow pits and other snow density measurements

format: TXT

media_type: text/plain

de:
Resource Title: SnowMicroPen pts files and processed txt files
    Size: 579091098 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/3072110f-5284-4b7c-84c7-81ed98d3e6ee/download/smp_files.zip
    Description: Zip archive containing the acquired *.pts files (binary files recorded by the SnowMicroPen), and the converted *.txt files using the SMP.ipynb jupyter notebook (see the python code in the other resources in this dataset)

de:
Resource Title: Jupyter notebook for processing the SnowMicroPen files
    Size: 7240 bytes
    Format: application/x-ipynb+json
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/b18e5359-0134-47d6-aaf9-9f5a04a71543/download/smp.ipynb
    Description: Jupyter notebook for processing the SnowMicroPen files.

de:
Resource Title: List of SnowMicroPen measurements
    Size: 182060 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/f993bafd-41b1-4978-884b-ee7e721a7f95/download/smp_list.txt
    Description: List of all SnowMicroPen measurements, including date and location, and processing status. This list has been generated by the python code (see other resources in this dataset).

de:
Resource Title: Documentation SnowMicroPen measurements
    Size: 94028379 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/4c1ab2e9-cfad-463b-bf94-b9d55794371a/download/documentation.zip
    Description: This *.zip archive contains all available documentation of the SnowMicroPen measurements, including the mapping of the SMP measurements in the terrestrial laser scan field at PEA (see documentation for 20161220) and at the Hammarryggen Ice Rise (see documentation for 20190104 and 20190111).

de:
Resource Title: Python code exported from the Jupyter notebook for processing the SnowMicroPen files
    Size: 5439 bytes
    Format: text/x-python
    URL: https://www.envidat.ch/dataset/02867726-da8e-4e54-ada7-058649af366b/resource/80f9bd9a-ba5f-461d-87ad-b0d65b0bb7ed/download/smp.py
    Description: Python code exported from the Jupyter notebook for processing the SnowMicroPen files

microstructure

display_name: microstructure

snow-density

display_name: snow-density

snow-density-profile

display_name: snow-density-profile

snowmicropen

display_name: snowmicropen


wamos-meets-lfi-ganze-schweiz

en: The data consists of a forest visitor survey conducted at 50 plots in the whole of Switzerland, once during the winter- and once during the summer season. Physical forest characteristics according to the Swiss National Forest Inventory NFI were collected from the same plots in winter and summer. Visibility was measured using terrestrial laser scanning. At some plots, sound measurements were also conducted.

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: WaMos meets LFI, ganze Schweiz

title_for_slug: wamos-meets-lfi-ganze-schweiz

de:
Resource Title: Questionnaire German
    Size: 85240 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/89ad5ee5-4cf7-4238-b36c-199c6f752887/download/fragebogenwmlganzeschweiz_nach-pretest.pdf
    Description:

de:
Resource Title: Questionnaire French
    Size: 85617 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/6653f7b9-28e2-437d-bdc5-9ba08c0a36c1/download/fragebogenwmlganzeschweizfra.pdf
    Description:

de:
Resource Title: Questionnaire English
    Size: 97530 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/5ec34a28-4837-4775-803d-6ec97f23b8c5/download/questionnairewml2_english.pdf
    Description:

de:
Resource Title: Questionnaire Italian
    Size: 106520 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/9344ade5-9e3a-48e6-ade9-bc4237845bd9/download/fragebogenwmlganzeschweiz_ita.pdf
    Description:

de:
Resource Title: Dataset in Excel-format
    Size: 881452 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/37ee8096-cf7b-4d5b-8dde-cb80d2ef45b2/download/dataquestionnaireplusnfi.xlsx
    Description:

de:
Resource Title: Codebook to dataset
    Size: 221528 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/5310da77-2c43-4772-886b-5a63eb13eb89/download/codebookdataquestionnaireplusnfi.pdf
    Description:

de:
Resource Title: Dataset SPSS
    Size: 469839 bytes
    Format: application/x-spss-sav
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/0203311f-69a9-44f5-b1c9-600429961002/download/dataquestionnaireplusnfi.sav
    Description:

de:
Resource Title: Explanation Dataset
    Size: 28901 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4041e2b8-caf1-47d5-9038-953f406c45d0/resource/753eaa31-c92e-4d1a-83f2-0fac6c6c711c/download/explanation-wmldataset.pdf
    Description:

forest-characteristics

display_name: forest-characteristics

seasons

display_name: seasons

visitor-preferences

display_name: visitor-preferences

visual-attractiveness-of-forest

display_name: visual-attractiveness-of-forest


en: This questionnaire survey was conducted as an online survey and aimed at investigating the relationship between physical forest characteristics, visual attractiveness of forest and the perception of ecological and cultural ecosystem services in urban forests. Each participant was shown 6 photos out of a pool of 50 photos taken from the Swiss National Forest Inventory (NFI) database. Physical forest characteristics were derived from the photos. The study was conducted as part of the "WaMos meets LFI" (WML) project.

en: perception-of-ecosystem-services online-questionnaire-survey visual-attractiveness nfi-photos adults-and-teenagers

en: Relationship between physical forest characteristics, visual attractiveness and perception of ecosystem services in urban forests

envi

de: Umwelt

de:
Resource Title: Dataset in csv-format
    Size: 5628069 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/ced93b4f-1424-4a54-ad92-753d96133fab/download/umfrage_mitlfi2_2.csv
    Description:

format: CSV

media_type: text/csv

de:
Resource Title: Questionnaire German
    Size: 15478868 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/31a62f4f-08ae-4baa-98af-f742ea96bc1d/download/umfrageerwachsenedeutsch.pdf
    Description:

de:
Resource Title: SPSS-Dataset
    Size: 9307772 bytes
    Format: application/x-spss-sav
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/795a1d55-ec18-4153-9c93-e93109a67bd5/download/umfrage_mitlfi2_2.sav
    Description:

de:
Resource Title: Questionnaire French
    Size: 16449968 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/ee508ecd-8d0f-4be5-b985-69acfdc3fb24/download/umfrageerwachsenefranzosisch.pdf
    Description:

de:
Resource Title: Questionnaire Italian
    Size: 10955256 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/f4fe792f-05dc-4896-8b1e-541611d9f21c/download/umfrageerwachseneitalienisch.pdf
    Description:

de:
Resource Title: Codebook to SPSS-file
    Size: 325674 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/4b2ca666-a329-4445-98c1-8d7ce3bca5a5/resource/8a7f9645-ca1b-4fb3-8d9c-94240c0e235e/download/codebookwmlbilderstudie.pdf
    Description:

adults-and-teenagers

display_name: adults-and-teenagers

nfi-photos

display_name: nfi-photos

online-questionnaire-survey

display_name: online-questionnaire-survey

perception-of-ecosystem-services

display_name: perception-of-ecosystem-services

visual-attractiveness

display_name: visual-attractiveness


en:
The wind-driven saltation of sand and snow shapes dunes and ripples, generates dust emission, and erodes the surface of the Antarctic ice sheet. Here, we use a model based on the discrete element method to simulate grain-flow interactions and study the effect of particle cohesion on saltation dynamics.
The data contains the model output of granular splash simulations and saltation simulations. Granular splash, the main particle entrainment process in saltation, occurs upon impact of saltating particles with the granular bed. We performed Monte Carlo simulations of granular splash for loose sand grains and for cohesive ice grains. The analysis indicate that different values of cohesion have significant effects not on the number of splashed grains, on the ejection velocity, and the rebound velocity.
In our saltation simulations, we trigger particle movement with a single splash event at the inlet section section and let the system evolve until steady state. Our results show that saltation over cohesive surfaces is difficult to initiate but easy to sustain at low wind speed. The occurrence of transport thus depends on the history of the wind speed, a phenomenon known as hysteresis. We also show that saltation over cohesive surfaces presents higher mass fluxes but requires longer distances to saturate, which increases the size of the smallest stable surface ripples. Our model results have implications for large-scale aeolian processes on Earth and Titan, where sand grains are thought to be very cohesive.

en: sediment cohesion sand saltation wind snow

envidat

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

de: EnviDat: das Umwelt-Datenportal

en: Saltation of cohesive granular materials

cohesion

display_name: cohesion

saltation

display_name: saltation

sand

display_name: sand

sediment

display_name: sediment

snow

display_name: snow

wind

display_name: wind


disdrometer-data-laret

en:
A laser optical disdrometer (Parsivel&178; , OTT Hydromet) was used to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms.
The dataset contains information on precipitation amount and type for the period of February 7 to March 29 2019 in Laret.

en: precipitation hydrometeors raclets disdrometer visibility

de: EnviDat

en: Disdrometer Data Laret

title_for_slug: disdrometer-data-laret

disdrometer

display_name: disdrometer

hydrometeors

display_name: hydrometeors

precipitation

display_name: precipitation

raclets

display_name: raclets

visibility

display_name: visibility


disdrometer-data-gotschnagrat

en: A laser optical disdrometer (Parsivel² , OTT Hydromet) was deployed at Gotschnagrat (LON: 9.849, LAT: 46.859) to measure hydrometeors by extinction when passing a laser beam. The instrument can classify eight different kinds of precipitation, including rain, hail, snow, drizzle, and hybrid forms. The dataset contains information on precipitation amount and type for the period of February 11 to March 27 2019 at Gotschnagrat.

en: raclets disdrometer visibility precipitation hydrometeors

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: Disdrometer Data Gotschnagrat

title_for_slug: disdrometer-data-gotschnagrat


en:
The data file refers to the data used in Portier et al. "Plot size matters: towards comparable species richness estimates across plot-based inventories" (2022) *Ecology and Evolution*.

This paper describes a methodoligical framework developed to allow meaningful species richness comparisons across plot-based inventories using different plot sizes. To this end, National Forest Inventory data from Switzerland, Slovakia, Norway and Spain were used. NFI plots were aggregated into mega-plots of larger sizes to build rarefaction curves. The data stored here correspond to the mega-plot level data used in the analyses, including for each country the size of the mega-plots in square meters (A), the corresponding species richness (SR) as well as all enrionmental heterogeneity measures described in the corresponding paper. Mega-plots of country-specific downscaled datasets are also provided.

The raw data from the Swiss NFI can be provided free of charge within the scope of a contractual agreement (http://www.lfi.ch/dienstleist/daten-en.php). Contact details for data requests from all NFIs can be found in the ENFIN website (http://enfin.info/).

en: biodiversity europe species-richness monitoring national-forest-inventory plot-size

en: Towards comparable species richness estimates across plot-based inventories - data

envi

en: Environment

biodiversity

display_name: biodiversity

europe

display_name: europe

monitoring

display_name: monitoring

national-forest-inventory

display_name: national-forest-inventory

plot-size

display_name: plot-size

species-richness

display_name: species-richness


en:
Dataset collected from dendroecological study on trunks of grapevines ('Chardonnay' cv.) infected by the "Flavescence dorée" phytoplasma (FDp) in Origlio (southern Switzerland) in 2019-2020. Ring widths were measured with cellSens (Olympus Corporation). Calculations and analysis were conducted within R.
The Flavescence dorée phytoplasma (FDp) causes a severe grapevine (Vitis vinifera) disease. Anatomical modification due to FDp infections are known to occur but research so far focused on stems and leaf tissues and, in particular, on their phloem structure. In this paper, we applied dendrochronological techniques on wood rings and analysed the anatomical structures of the trunk of the susceptible grapevine cultivar ‘Chardonnay’ in order to verify their response to FDp infections.
In this study, we tested the impact of FDp and drought stress on xylem ring width and also described phloem anomalies inside the trunk of grapevines. We concluded that drought and FDp infection both have a significant effect on ring width reductions and that FDp supersedes the effect of drought conditions (calculated after the SPEI index) in infected specimens.

en: dendroecology spei grapevine-yellows drought-stress southern-switzerland

en: Impact of the “Flavescence dorée” phytoplasma on xylem growth and phloem anomalies in trunks of ‘Chardonnay’ grapevines (Vitis vinifera)

de:
Resource Title: Dataset 1
    Size: 4629 bytes
    Format: text/csv
    URL: https://www.envidat.ch/dataset/3443f539-82b5-482f-8c2f-d7606ae29742/resource/2c167608-521e-4598-bb5f-5845cbd771c9/download/rizzoli-et-al.-2022_dataset1.csv
    Description: Sample identification, symptomatology (symptomatic vs. asymptomatic), coordinates (CH1903), phloem disarrangement class, drought-sensitivity, slope sector.

de:
Resource Title: Dataset 2. Ring width.
    Size: 17444 bytes
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
    URL: https://www.envidat.ch/dataset/3443f539-82b5-482f-8c2f-d7606ae29742/resource/ff7a966f-943f-4dad-a28e-ac602b6eef07/download/rizzoli-et-al.-2022_dataset2_ringwidth.xlsx
    Description: Ring width measured with cellSens from slides.
Measures expressed as [μm] and arranged per ID (see dataset 1) and year.

dendroecology

display_name: dendroecology

drought-stress

display_name: drought-stress

grapevine-yellows

display_name: grapevine-yellows

southern-switzerland

display_name: southern-switzerland

spei

display_name: spei


en:
This repository contains the source code of the analysis presented in the related paper. The code can be found in the following github repository: https://github.com/Chelmy88/temporal_downscaling
This code can be used to perform temporal downscaling of meteorological time series from daily to hourly time steps and to perform the quality assessment described in the paper.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

en: switzerland quantile-mapping meteoswiss delta-change temporal-downscaling climate-change-scenarios imis alpine-regions r-script python

en: Source code for: Climate change scenarios at hourly time-step over Switzerland from an enhanced temporal downscaling approach

de:
Resource Title: README
    Size: 2098 bytes
    Format: text/markdown
    URL: https://www.envidat.ch/dataset/73aa91a9-61b6-473c-9962-8d4c28016191/resource/0ebfca71-d997-4586-93fe-7b6fcce8bc0f/download/readme.md
    Description:

format: markdown

de:
Resource Title: 1_downscaling
    Size: 13945 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73aa91a9-61b6-473c-9962-8d4c28016191/resource/3aa56f6a-4e60-4ba7-866a-e27b06315bea/download/1_downscaling.zip
    Description: Python scripts to perform the temporal downscaling

de:
Resource Title: 2_assessment
    Size: 12817 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/73aa91a9-61b6-473c-9962-8d4c28016191/resource/8990361d-87b0-4320-9d79-7788832ffa1d/download/2_assessment.zip
    Description: Python and R scripts to perform the data quality analysis

de:
Resource Title: LICENSE
    Size: 35149 bytes
    Format: No Info
    URL: https://www.envidat.ch/dataset/73aa91a9-61b6-473c-9962-8d4c28016191/resource/f8e60185-27c1-4abf-ba3e-e272d86c52c8/download/license
    Description:

alpine-regions

display_name: alpine-regions

climate-change-scenarios

display_name: climate-change-scenarios

delta-change

display_name: delta-change

imis

display_name: imis

meteoswiss

display_name: meteoswiss

python

display_name: python

quantile-mapping

display_name: quantile-mapping

r-script

display_name: r-script

switzerland

display_name: switzerland

temporal-downscaling

display_name: temporal-downscaling


en: This report presents past observations and projects the future development of water temperature in Swiss lakes and rivers. Projections are made until the end of the 21st century using the CH2018 climate scenarios. Besides climate change effects on temperature, we also discuss effects on discharge for rivers, and effects on the thermal structure, and specifically the seasonal mixing regime and ice cover of lakes.

en: switzerland hydrology lake hydro-ch2018 climate-change river climate-change-scenarios

en: Hydro-CH2018 Evolution of stream and lake water temperature under climate change

climate-change

display_name: climate-change

hydrology

display_name: hydrology

lake

display_name: lake

river

display_name: river


en: In controlled model forest ecosystems young trees were exposed to heavy metals in the soil and to acid precipitation. On spruce trees Lymantria monacha caterpillars and Cinara pilicornis aphids and on willow Pterocomma pilosum aphids were reared and monitored. Developmental time and fecundity of L. monacha were recorded and in aphids colony growth was measured.

en: cinara-pilicornis lymantria-monacha spruce phenols pterocomma-pilosum willow

en: Plant-mediated effects of heavy metals and acid rain on feeding aphids and caterpillars

cinara-pilicornis

display_name: cinara-pilicornis

lymantria-monacha

display_name: lymantria-monacha

phenols

display_name: phenols

pterocomma-pilosum

display_name: pterocomma-pilosum

spruce

display_name: spruce

willow

display_name: willow


en: The population dynamics of eruptive moths were monitored with pheromone traps and the composition of the larvae's foodplants were analyzed for water content, nitrogen and total phenolics. Moth catches cover a period of 20 years, leaf analyses 10 years. For Zeiraphera griseana (= Z. diniana) only needle analyses are available. The corresponding data on the moth population dynamics are property of A. Fischlin, ETH Zürich, and will be made available on EnviDat as well.

en: nun-moth larch-budmoth flight-traps gypsy-moth phenol spongy-moth nitrogen

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: Monitoring of Lymantria dispar, Lymantria monacha and Zeiraphera griseana and host food quality in the Swiss Alps

flight-traps

display_name: flight-traps

gypsy-moth

display_name: gypsy-moth

larch-budmoth

display_name: larch-budmoth

nitrogen

display_name: nitrogen

nun-moth

display_name: nun-moth

phenol

display_name: phenol

spongy-moth

display_name: spongy-moth


en: Ips typographus was reared in climate chambers at constant temperatures of 12, 15, 20, 25, 30 and 33°C. Developmental times from egg to teneral beetle stages and daily oviposition of females from preoviposition phase to their death were recorded. From these data life tables were computed and the data were used for modelling.

en: larvae maturation-feeding fecundity ips-typographus life-table spruce-bark-beetle

en: Temperature-dependent development and oviposition of the spruce bark beetle Ips typographus

envi

en: Environment

fecundity

display_name: fecundity

ips-typographus

display_name: ips-typographus

larvae

display_name: larvae

life-table

display_name: life-table

maturation-feeding

display_name: maturation-feeding

spruce-bark-beetle

display_name: spruce-bark-beetle


en: In an expanding bark beetle (Ips typographus) infestation spot emergence traps were installed on the stems of newly infested spruce trees capturing all emerging insects during several consecutive years. Two locations were sampled on elavations with univoltine and bivoltine generations, respectively. Bark beetles and their insect predators and parasitoids were identified to species level by specialists.

en: univoltine parasitoids antagonists bivoltine predators spruce ips-typographus scolytinae

en: Emergence dynamics of natural enemies of spruce bark beetles

antagonists

display_name: antagonists

bivoltine

display_name: bivoltine

parasitoids

display_name: parasitoids

predators

display_name: predators

scolytinae

display_name: scolytinae

univoltine

display_name: univoltine


en: The Federal Office for the Environment (FOEN) is responsible for granting exemptions for forest clearances that in principle are prohibited in Switzerland. Initiators of infrastructure projects have to submit an examption approval request to the cantonal forest administration which has to inform the FOEN. The FOEN thus administers a dataset of forest clearance requests and approval decisions that can be requested there. This dataset contains information on a coding of the content of all the forest clearance requests between 2001 and 2017, that elicits whether the reason for the clearance can be attributed to "sustainable economy" objectives such as "green economy", "bioeconomy" and "circular economy".

en: circular-economy bioeconomy forest-clearances sustainable-economy green-economy atree

en: Content coding of exemption approval decisions for forest clearances

atree

display_name: atree

bioeconomy

display_name: bioeconomy

circular-economy

display_name: circular-economy

forest-clearances

display_name: forest-clearances

green-economy

display_name: green-economy

sustainable-economy

display_name: sustainable-economy


en:
This data set provides estimates of annual fresh water fluxes related to sea-ice formation from ocean freezing and snow-ice formation, sea-ice melting, lateral transport of sea ice in the Southern Ocean over the period 1982 to 2008.It is derived from a mass balance calculation of local sea-ice volume change and divergence from satellite data and sea-ice reconstructions. The mass balance is calculated on a daily basis and fluxes are then integrated over the entire year, where a year is defined from March to February of the next year (i.e. from March 1982 to February 2009). This approach combines multiple products of sea-ice concentration (Cavalieri & Parkinson, 2008;Comiso, 1986; Meier et al., 2013), sea-ice thickness (Kurtz & Markus, 2012; Massonnet et al., 2013; Worby et al., 2008), and sea-ice drift (Fowler et al., 2013; Kwok 2005; Schwegmann et al., 2011). For a detailed description of the method see Haumann et al. (2016). The data set is derived to estimate large-scale (regional to basin-scale) fluxes on an annual basis. Our confidence is reduced on a grid cell basis, such as for single coastal polynyas, where the method and underlying data induce large, unknown uncertainties.
_Disclaimer: This data set is free to use for any non-commercial purpose at the risk of the user and the authors do not take any liability on the use of the data set. The authors assembled the data set carefully and assessed accuracy, errors, and uncertainties. Please contact the authors if you find any issues._
Related publication: http://www.nature.com/nature/journal/v537/n7618/full/nature19101.html (doi:10.1038/nature19101)
Disclaimer: This data set is free to use for any non-commercial purpose at the risk of the user and the authors do not take any liability on the use of the data set. The authors assembled the data set carefully and assessed accuracy, errors, and uncertainties. Please contact the authors if you find any issues.

en: physical-oceanography salinity polar forcing southern-ocean sea-ice-volume satellite transport freshwater-flux sea-ice mass-balance sea-ice-divergence freezing salt melting antartic climate-change cryospheric-science

en: Antarctic sea-ice freshwater fluxes associated with freezing, transport, and melting

de:
Resource Title: AnIceFlux_v01_annual_1982-2008.nc
    Size: 1493303 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/5de37dd3-e6a7-41b4-b97a-21b14734b861/download/aniceflux_v01_annual_1982-2008.nc
    Description: Data in NetCDF4 CF-1.6 format

de:
Resource Title:  AnIceFlux_v01_clim_mean_1982-2008.nc
    Size: 260945 bytes
    Format: application/x-netcdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/6a315e6d-4c92-4f85-b131-92fd87853b65/download/aniceflux_v01_clim_mean_1982-2008.nc
    Description: Data in NetCDF4 CF-1.6 format

de:
Resource Title: Explanatory Document
    Size: 379128 bytes
    Format: application/pdf
    URL: https://www.envidat.ch/dataset/b16a0901-3abe-4da0-b61e-cdb80c59ba63/resource/a2d8430f-dc92-4a03-b3d6-6661b553bdd1/download/aniceflux_v01.pdf
    Description:

de:
Resource Title: Link to Related Publication
    Size: 1 bytes
    Format: application/pdf
    URL: http://www.nature.com/articles/nature19101.epdf?author_access_token=dtLqMQ3Ss6p16tymoagae9RgN0jAjWel9jnR3ZoTv0PH2BR1NrVw3zxcEnl7ViU5pKp8iHAlc_ntQx82EiRMqFRuGOR0VueOUVoGWzy8lSzML6YUBUMMZ5f4LYCdK8Ca
    Description:

antartic

display_name: antartic

climate-change

display_name: climate-change

cryospheric-science

display_name: cryospheric-science

forcing

display_name: forcing

freezing

display_name: freezing

freshwater-flux

display_name: freshwater-flux

mass-balance

display_name: mass-balance

melting

display_name: melting

physical-oceanography

display_name: physical-oceanography

polar

display_name: polar

salinity

display_name: salinity

salt

display_name: salt

satellite

display_name: satellite

sea-ice

display_name: sea-ice

sea-ice-divergence

display_name: sea-ice-divergence

sea-ice-volume

display_name: sea-ice-volume

southern-ocean

display_name: southern-ocean

transport

display_name: transport


en: After a major dieback of Scots pines in the Valais, an inner Alpine valley in Switzerland, the colonization of differently vigorous pines by stem and branch insects was investigated to assess their role in tree mortality. At 2 locations, the needle loss (defoliation) of some 500 pine trees was assessed twice a year. Of these trees, 34-36 trees were cut each year between 2001-2005 across all defoliation classes. From each tree, two 75-cm bolts were cut from both the stem and thick branches. They were incubated in photo-eclectors (metal cabinets) set up in a greenhouse where the insects could develop under the bark. The emerged adults were collected in water-filled eclector boxes and identified to species level by specialists. Attack time was estimated from the development time of each insect species emerged. The colonisation densities of the trees were related to the transparency level of each host tree at the time of attack.

en: wood-wasps pissodes defoliation decline ips-acuminatus bark-beetles phaenops tomicus sirex pinus

en: Infestation of Scots pines with different vitalities by bark and wood boring insects

envi

de: Umwelt

bark-beetles

display_name: bark-beetles

decline

display_name: decline

defoliation

display_name: defoliation

ips-acuminatus

display_name: ips-acuminatus

phaenops

display_name: phaenops

pinus

display_name: pinus

pissodes

display_name: pissodes

sirex

display_name: sirex

tomicus

display_name: tomicus

wood-wasps

display_name: wood-wasps


en:
This dataset was used to analyze the inter-observer error (i.e. pseudoturnover) in vegetation surveys for the publication Boch S, Küchler H, Küchler M, Bedolla A, Ecker KT, Graf UH, Moser T, Holderegger R, Bergamini A (2022) Observer-driven pseudoturnover in vegetation monitoring is context dependent but does not affect ecological inference. Applied Vegetation Science.
In the framework of the project "Monitoring the effectiveness of habitat conservation in Switzerland", we double-surveyed a total of 224 plots that were marked once in the field and then sampled by two observers independently on the same day. Both observers conducted full vegetation surveys, recording all vascular plant species, their cover, and additional plot information. We then calculated mean ecological indicator values and pseudoturnover.
The excel file contains two sheets:
1) Raw species lists of the 224 plots conducted by two different observers. Woody species are distinguished in three layers: H (herb layer; woody species -0.5 m in height), S (shrub layer; woody species 0.5–3 m in height) and T (tree layer; woody species -3 m in height). "cf." indicates uncertain identification, "aggr." indicates that the plant was identified only to the aggregate level. Cover was estimated for each species using a modified Braun-Blanquet scale (r ≙ -0.1%, + ≙ 0.1% to -1%, 1 ≙ 1% to -5%, 2 ≙ 5% to -25%, 3 ≙ 25% to -50%, 4 ≙ 50% to -75%, 5 ≙ 75% to -100%).
2) File used for the linear mixed effects model.

en: dry-grassland long-term-biodiversity-monitoring raised-bog pseudoturnover observer-error inter-observer-difference vegetation-survey flood-plain fen ecological-indicator-value

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: Observer-driven pseudoturnover in vegetation surveys

dry-grassland

display_name: dry-grassland

ecological-indicator-value

display_name: ecological-indicator-value

fen

display_name: fen

flood-plain

display_name: flood-plain

inter-observer-difference

display_name: inter-observer-difference

long-term-biodiversity-monitoring

display_name: long-term-biodiversity-monitoring

observer-error

display_name: observer-error

pseudoturnover

display_name: pseudoturnover

raised-bog

display_name: raised-bog

vegetation-survey

display_name: vegetation-survey


en:
Dataset from the publication "L-Band Radiometry of Alpine Seasonal Snow Cover: 4 Years at the Davos-Laret Remote Sensing Field Laboratory", under review in IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. volume and issue TBD.
Dataset specifics are described in the publication.

en: davos-laret snow radiometer microwave l-band

envi

en: Environment

de:
Resource Title: Davos-Laret Data 2017-2018 Winter
    Size: 316269368 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/a5104047-a61f-4625-b8f7-9b41c5281852/download/c2__winter2017_2018.zip
    Description:

de:
Resource Title: Davos-Laret Data 2019-2020 Winter
    Size: 922489429 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/788fd33f-602d-4c5f-98ef-8ddf20f08fa7/download/c4__winter2019_2020.zip
    Description:

de:
Resource Title: Davos-Laret Data 2018-2019 Winter
    Size: 864734454 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/b407b13d-2883-41cf-8fe3-e30f50eb837c/download/c3__winter2018_2019.zip
    Description:

de:
Resource Title: Davos-Laret Data 2016-2017 Winter
    Size: 475560722 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/cfcf69a0-9f71-452c-9487-bc4ef23b65fe/download/c1__winter2016_2017.zip
    Description:

de:
Resource Title: Snowpit data from SLF
    Size: 23783 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/a461f8ef-077e-4827-8f2c-533636e6d9df/download/snowpit_c1-c4.zip
    Description: In-situ characterization data from Davos-Laret snowpits.

de:
Resource Title: Publications
    Size: 93441479 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/384d588d-06d3-44f2-92a5-cdd49da0ff23/resource/fdbeb1dc-a8b9-4179-aa01-7d7debfce003/download/publications.zip
    Description:

davos-laret

display_name: davos-laret

l-band

display_name: l-band

microwave

display_name: microwave

radiometer

display_name: radiometer

snow

display_name: snow


en:
The R script IRFnnhs.R, which efficiently estimates impulse response functions for environmental systems that are nonlinear, nonstationary, or heterogeneous, based on their input and output time series.
Scripts and results for a series of benchmark tests are also provided, to accompany Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, _Sensors_, 22(9), 3291, https://doi.org/10.3390/s22093291, 2022.

en: greens-function impulse-response-function system-identification irf irfnnhsr transfer-function arma-noise time-series-analysis de-mixing deconvolution nonlinear-deconvolution

envidat

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

de: EnviDat: das Umwelt-Datenportal

de: EnviDat

en: Impulse response functions for nonlinear nonstationary and heterogeneous systems

de:
Resource Title: Impulse Response Function script
    Size: 123160 bytes
    Format: text/x-r
    URL: https://www.envidat.ch/dataset/c093641a-874e-4f8e-a04d-62a07d3855e1/resource/7fb322da-6bd9-4e68-a8e7-33383b1db36c/download/irfnnhs.r
    Description:

de:
Resource Title: Benchmark demonstration scripts and results
    Size: 27341717 bytes
    Format: application/zip
    URL: https://www.envidat.ch/dataset/c093641a-874e-4f8e-a04d-62a07d3855e1/resource/b2a57bb7-8466-4b71-9837-d500e8fa0226/download/benchmark-demonstration-scripts-and-results.zip
    Description:

de:
Resource Title: README file for IRFnnhs.R and benchmark demonstration scripts
    Size: 1315 bytes
    Format: text/plain
    URL: https://www.envidat.ch/dataset/c093641a-874e-4f8e-a04d-62a07d3855e1/resource/de609e80-41d7-41d8-8c73-a58d2c2fdc83/download/irf-code-folder-readme.txt
    Description:

arma-noise

display_name: arma-noise

de-mixing

display_name: de-mixing

deconvolution

display_name: deconvolution

greens-function

display_name: greens-function

impulse-response-function

display_name: impulse-response-function

irf

display_name: irf

irfnnhsr

display_name: irfnnhsr

nonlinear-deconvolution

display_name: nonlinear-deconvolution

system-identification

display_name: system-identification

time-series-analysis

display_name: time-series-analysis

transfer-function

display_name: transfer-function


en:
In 1994 a large area of mountain spruce forest was infested by the European spruce bark beetle (Ips typographus) in the Gandberg forest near Schwanden, canton Glarus, Switzerland (46.99145 N, 9.10768 E, 1300 m a.s.l.). In a perimeter of approx. 13 ha, 50 infested dead spruce trees were selected and labelled in 1994. The trees were randomly distributed across the whole perimeter and attributed to 5 groups of 10 trees of approx. 25-40 cm diameter each. In each of the following 5 years (1995-1999), the trees of one of these groups were cut in early spring and transported by helicopter to a vehicle-accessible road. Of each log, two bolts of 1.5 m length were cut, one from the base and one from the beginning of the crown. The bolts were transported by truck to the institute WSL and exposed in emergence eclectors (metal cabinets of approx. 2.0x0.5x0.5 m) in a greenhouse to let the insects emerge. Each tree was left 2 years in the eclectors to allow insects with more than 1 year development time to emerge. During 2 months in the winter between the two exposure years the bolts were removed from the eclectors and exposed to ambient winter temperatures for chilling. They were then moved back to the eclectors in the greenhouse.
Additionally, 18 living unattacked trees were provided with a pheromone lure in early spring 1995 to induce new bark beetle attack. 10 infested trees were then cut and processed as described above.
The water-filled emergence traps of the eclectors were emptied monthly-bimonthly and the insects were separated to taxonomic groups and eventually identified by specialists. Before disposing the logs, tree age was recorded by tree-ring-counting.

en: parasitoids pests antagonists predators spruce bark-beetles insects picea

en: Dynamics of insect natural enemies of bark beetles

antagonists

display_name: antagonists

bark-beetles

display_name: bark-beetles

insects

display_name: insects

parasitoids

display_name: parasitoids

pests

display_name: pests

picea

display_name: picea

predators

display_name: predators

spruce

display_name: spruce