naturraumgliederung

envi

fr: Environnement

de: Umwelt

en: Environment

title_for_slug: naturraumgliederung

fr: geocat.ch permalien

de: geocat.ch Permalink

fr: Lien vers le téléchargement de données (Zip)

fr: Le fichier permet de représenter de manière simplifiée la structure des ensembles naturels du canton de Berne. Il est basé pour l’essentiel sur la Carte des aptitudes des sols et sur les physiotopes (Grosjean, 1977). Les critères considérés sont les formes du paysage, les types de sols, l’altitude, la géologie, le climat et l’hydrologie.

de: Der Datensatz umfasst eine vereinfachte Darstellung der Gliederung des Naturraums des Kantons Bern. Sie beruht im Wesentlichen auf der Bodeneignungskarte und den Physiotypen gemäss Grosjean 1977. Berücksichtigt wurden vor allem Landschaftsformen, Bodentypen, Höhenlage, Geologie, Klima und Hydrologie.

fr: Universität Bern Geographisches Institut

de: Amt für Geoinformation des Kantons Bern

fr: Typologie des ensembles naturels

de: Naturraumgliederung


einschrankung-binnenschifffahrt

regi

fr: Régions et villes

de: Regionen und Städte

en: Regions and cities

it: Regioni e città

tran

fr: Transports

de: Verkehr

en: Transport

it: Trasporti

title_for_slug: einschrankung-binnenschifffahrt

author: Strassenverkehrs- und Schifffahrtsamt

en: geocat.ch permalink

it: geocat.ch link permanente

state: active

type: dataset

de: Link zum Daten-Download (Zip)

format: ZIP

format: WFS

format: WMS

fr: La navigation est en principe autorisée sur les eaux publiques en Suisse. Ce principe est ancré dans la loi fédérale sur la navigation intérieure (LNI). Parallèlement, les eaux sont soumises aux cantons en ce qui concerne la navigation et ces derniers peuvent, pour des raisons importantes, restreindre ou interdire totalement la navigation. La signalisation des restrictions sur le terrain se fait généralement à l'aide de signaux de navigation définis par la Confédération. Le géoproduit montre les restrictions à la navigation intérieure décidées par le canton de Berne.

de: Auf den öffentlichen Gewässern in der Schweiz ist die Schifffahrt grundsätzlich erlaubt. Dieser Grundsatz ist im Bundesgesetz über die Binnenschifffahrt (BSG) verankert. Gleichzeitig unterstehen die Gewässer bezüglich der Schifffahrt den Kantonen, und diese dürfen bei wichtigen Gründen die Schifffahrt einschränken oder ganz untersagen. Die Signalisierung der Einschränkungen vor Ort erfolgt in der Regel mit Hilfe von Schifffahrtszeichen, die vom Bund festgelegt wurden. Das Geoprodukt zeigt die vom Kanton Bern verfügten Einschränkungen zur Binnenschifffahrt.

spatial: Kanton Bern (erweitert)

fr: Strassenverkehrs- und Schifffahrtsamt

de: Strassenverkehrs- und Schifffahrtsamt

en: Strassenverkehrs- und Schifffahrtsamt

it: Strassenverkehrs- und Schifffahrtsamt

fr: Office de l'information géographique du canton de Berne

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

political_level: canton

capacity: public

type: organization

approval_status: approved

value: Bern-Kt - Geocat Harvester

fr: Restriction de la navigation sur les eaux

de: Einschränkung Binnenschifffahrt


parzellennummern

envi

it: Ambiente

title_for_slug: parzellennummern

fr: registre-foncier droit-de-propriete cadastre tableau-des-valeurs

de: grundbuch eigentumsordnung kataster wertetabelle

author: Amt für Geoinformation

fr: Le produit Numéros de parcelles contient les numéros géoréférencés de parcelles (bien-fonds ainsi que les droits distincts et permanents) du canton de Berne. Par le fait que les numéros de parcelles soient connues par leurs coordonnées (y et x), DIPANU permet de rechercher des parcelles dans le canton de Berne.

de: Das Produkt Parzellennummern beinhaltet die georeferenzierten Nummern von Grundstücken (Liegenschaften und Selbstständige, dauernde Rechte) im Kanton Bern. Dadurch, dass die Grundstücknummern mit ihren Koordinaten (y und x) abgelegt sind, dient DIPANU als Suchinstrument von Grundstücken innerhalb des Kantons Bern.

spatial: Kanton Bern

fr: Amt für Geoinformation

de: Amt für Geoinformation

en: Amt für Geoinformation

it: Amt für Geoinformation


szenarien-des-kantonalen-klimamodells

title_for_slug: szenarien-des-kantonalen-klimamodells

author: Amt für Umwelt und Energie - Energie

fr: Le modèle est élaboré sur la base de conditions météorologiques estivales et peu venteuses, car les effets climatiques typiques des espaces urbains se développent surtout en été, par temps calme et clair. Cette situation météorologique (de haute pression) se caractérise par la formation de courants d'air froid localisés (brises thermiques sur les terrains plats et écoulement d'air froid sur les terrains en pente) se déplaçant à la faveur des gradients thermiques qui s’établissent entre les surfaces ouvertes fraîches et les espaces urbains plus chauds. Ces courants contribuent à réduire la charge thermique dans les zones bâties - l'essentiel étant de faire baisser la chaleur à l'intérieur des bâtiments (meilleure qualité de sommeil). À cet effet, divers paramètres météorologiques (température de l'air à proximité du sol, taux de production d'air froid, champ d'écoulement de l'air froid à proximité du sol et débit d'air froid) ont été modélisés pour la situation nocturne. La charge thermique diurne en plein air est exprimée au moyen de la température physiologique équivalente (PET). Le scénario de 2060 table sur une hausse moyenne des températures estivales de 2,6 K (cf. chap. 3.4.4 du rapport explicatif, en all.). Suivant l'occupation du sol, ce phénomène peut se renforcer (espaces urbains) ou s'atténuer (espaces verts). Dans l'ensemble, toutefois, la chaleur augmente aussi bien dans les espaces urbains que les espaces verts ; mais même si l'air fourni par ces derniers sera à l'avenir légèrement plus chaud qu'actuellement, il restera plus frais que dans les espaces urbains. Les écarts de température relative entre les différents types d'occupation du sol ainsi que l'échange d'air en général resteront similaires. Rapport explicatif en all. (https://geofiles.be.ch/geoportal/pub/lpi/KLIMAMODELL_BE_Bericht_DE.pdf). Les paramètres simulés servent de base à l'élaboration des cartes d'analyse climatique et des cartes indicatives de planification.

de: Dem Klimamodell liegt als meteorologische Rahmenbedingung eine windschwache Wetterlage im Sommer zugrunde, da sich die siedlungsklimatischen Effekte vor allem während windschwacher Wetterlagen mit geringer Wolkenbedeckung im Sommer entwickeln. Charakteristisch für diese (Hochdruck-) Wetterlage ist die lokale Entstehung von Kaltluftströmungen (Flurwinde in ebener Lage und Kaltluftabflüsse über den Hängen), die durch den Temperaturgradienten zwischen kühlen Freiflächen und wärmeren Siedlungsräumen angetrieben werden und zu einem Abbau der Wärmebelastung in der Bebauung beitragen. Dabei geht es weniger um den Aufenthalt im Freien als vielmehr um die Wärmereduktion im Innenraum zur Verbesserung der Schlafumfeldbedingungen. Dazu wurden für die Nachtsituation die meteorologischen Parameter bodennahe Lufttemperatur, Kaltluftproduktionsrate, das bodennahe Kaltluftströmungsfeld sowie der Kaltluftvolumenstrom modelliert. Die Wärmebelastung am Tage im Freien wird über die Physiologisch Äquivalente Temperatur (PET) repräsentiert. Für das Zukunftsszenario im Jahr 2060 wird eine mittlere sommerliche Temperaturzunahme von 2,6 K zugrunde gelegt (vgl. Kap. 3.4.4 Erläuterungsbericht). Die unterschiedlichen Nutzungsstrukturen wirken darauf verstärkend (überbaute Räume) oder abschwächend (Grünräume) ein. Im Allgemeinen werden aber sowohl die Grünflächen als auch der Siedlungsraum wärmer. Die Grünflächen liefern aber auch zukünftig kalte Luft. Allerdings ist diese - unter dem Einfluss des Klimawandels - etwas wärmer verglichen mit der Gegenwart, aber immer noch kühler als die Siedlungsräume. Die relativen Temperaturunterschiede zwischen den Landnutzungen sowie der Luftaustausch insgesamt bleiben ähnlich ausgeprägt. Erläuterungsbericht (https://geofiles.be.ch/geoportal/pub/lpi/KLIMAMODELL_BE_Bericht_DE.pdf). Die simulierten Parameter stellen die Grundlage für die Herleitung der Klimaanalyse- und Planungshinweiskarten dar.

spatial: Schweiz

fr: Amt für Umwelt und Energie - Energie

de: Amt für Umwelt und Energie - Energie

en: Amt für Umwelt und Energie - Energie

it: Amt für Umwelt und Energie - Energie

fr: Scénarios du modèle climatique cantonal

de: Szenarien des kantonalen Klimamodells


envi

fr: Environnement

de: Umwelt

fr: bassin-versant precipitation-atmospherique eaux-geographie eaux-souterraines tableau-des-valeurs

de: gewassereinzugsgebiet niederschlag gewasser grundwasser wertetabelle

author: Amt für Wasser und Abfall

fr: geocat.ch permalien

de: geocat.ch Permalink

fr: Lien vers le téléchargement de données (Zip)

fr: Le géoproduit 'Réseau cantonal de mesure hydrométrique' comprend les point de mesure cantonaux des eaux de surface, des eaux souterraines, des jauges de dotation pour les prélèvements d'eau et des mesures hydrométriques ponctuelles. Des points de mesure météorologique sont également prévus.

de: Das Geoprodukt 'kantonales hydrometrisches Messstellennetz' umfasst die kantonalen Messstellen der Oberflächengewässer, des Grundwassers, der Pegellatten für Dotierwassermengen bei Wasserentnahmen, sowie punktuell durchgeführte hydrometrische Messungen. Zusätzlich werden auch die meteorologischen Messstellen bereitgestellt.

fr: Amt für Wasser und Abfall

de: Amt für Wasser und Abfall

en: Amt für Wasser und Abfall

it: Amt für Wasser und Abfall

fr: Réseau cantonal de mesure hydrométrique


regi

fr: Régions et villes

de: Regionen und Städte

fr: paroisses tableau-des-valeurs

de: kirchgemeinden wertetabelle

author: Amt für Gemeinden und Raumordnung

fr: Périmètre administratif des paroisses du canton de Berne. Ces périmètres sont les limites des paroisses suivant l'Ordonnance sur les Eglises nationales bernoises (OEgN) (<https://www.belex.sites.be.ch/frontend/versions/1741?locale=fr>).

de: Administrativer Perimeter der Kirchgemeinden des Kantons Bern. Die Perimeter bilden die rechtsgültige Begrenzung der Kirchgemeinden gemäss Verordnung über die bernischen Landeskirchen (LKV) (<https://www.belex.sites.be.ch/frontend/versions/1741>).

fr: Amt für Gemeinden und Raumordnung

de: Amt für Gemeinden und Raumordnung

en: Amt für Gemeinden und Raumordnung

it: Amt für Gemeinden und Raumordnung

de: Amt für Geoinformation des Kantons Bern

fr: Périmètre administratif des paroisses


amtliche-vermessung-vereinfacht

title_for_slug: amtliche-vermessung-vereinfacht

fr: mensuration-officielle cadastre tableau-des-valeurs planification

de: amtliche-vermessung kataster wertetabelle planung

de: Link zum Daten-Download (Zip)

fr: Le géoproduit mensuration officielle simplifiée (MOPUBE) contient les données relatives à la structure de propriété et à l'utilisation du sol dans le canton de Berne. Ces données sont les plus précises disponibles actuellement. Elles se prêtent bien à un fond de plan pour la représentation d'informations thématiques. Le géoproduit mensuration officielle simplifiée est mis à jour chaque semaine ; il n'a pas de portée légale. Il constitue un sous-ensemble des données complètes de la mensuration officielle (MO). Il contient les données géométriques et les attributs des objets décrivant la propriété et l'utilisation du sol. Ces données sont à la base de la plupart des applications SIG. Elles ont été élaguées des informations plus détaillées n'intéressant principalement que les spécialistes de la mensuration cadastrale. Ce jeu de données comprend des extraits des couches d'information suivantes: points fixes, couverture du sol, objets divers, nomenclature, biens-fonds, divisions administratives et techniques de la mensuration officielle. La structure du geoproduit correspond à celle du modèle de données de la Confédération. Il a été toutefois complété avec des exigences cantonales. Remplace le géoproduit: Mensuration officielle réduite (AVR)

de: Das Geoprodukt Amtliche Vermessung vereinfacht (MOPUBE) enthält die genauesten, verfügbaren Daten über Grund und Boden des Kantons Bern. Es eignet sich optimal  insbesondere die Bodenbedeckung und Liegenschaften  als Kartenhintergrund für die Darstellung thematischer Informationen. Das Geoprodukt Amtliche Vermessung vereinfacht wird wöchentlich aktualisiert; es besitzt keine Rechtswirkung. Es enthält eine Teilmenge der Daten der Amtlichen Vermessung (AV), namentlich diejenigen geometrischen und attributiven Daten zu Grund und Boden, die von den meisten GIS-Anwendern benötigt werden. Weitergehende Informationen, die vorwiegend Vermessungsspezialisten interessieren, werden weggelassen. Der Geodatensatz umfasst Auszüge aus den Informationsebenen Fixpunkte, Bodenbedeckung, Einzelobjekte, Nomenklatur, Liegenschaften, administrative und technische Einteilungen der Amtlichen Vermessung. Das Geoprodukt entspricht von der Struktur her dem Datenmodell «MOpublic» des Bundes. Es ist jedoch mit einigen kantonalen Anforderungen ergänzt worden. Ersetzt das Geoprodukt: Amtliche Vermessung Reduziert (AVR)

fr: Office de l'information géographique du canton de Berne

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.


kommunale-richtplane-energie

title_for_slug: kommunale-richtplane-energie

author: Amt für Umwelt und Energie

fr: Le plan directeur de l'énergie permet de fixer à long terme des objectifs de politique énergétique en rapport avec l'organisation du territoire. Il est contraignant pour les autorités et leur fournit des éléments pour définir les prescriptions bligatoires à l'intention des propriétaires fonciers, lesquelles figureront dans le plan d'affectation communal.

de: Der Richtplan Energie ist geeignet, energiepolitische Ziele mit räumlichem Bezug langfristig festzuschreiben. Er ist für die Behörden verbindlich und liefert Grundlagen für grundeigentümerverbindliche Festlegungen in der kommunalen Nutzungsplanung.

spatial: Kanton Bern (reduziert)

fr: Amt für Umwelt und Energie

de: Amt für Umwelt und Energie

en: Amt für Umwelt und Energie

it: Amt für Umwelt und Energie

fr: Plans directeurs communaux de l'énergie

de: Kommunale Richtpläne Energie


grundeigentumskategorien

envi

fr: Environnement

de: Umwelt

title_for_slug: grundeigentumskategorien

fr: registre-foncier droit-de-propriete cadastre tableau-des-valeurs

de: grundbuch eigentumsordnung kataster wertetabelle

fr: geocat.ch permalien

fr: Les propriétés de la mensuration officielle sont liées aux informations sur les propriétés du registre foncier. Ceux-ci sont regroupés en catégories et sont disponibles dans trois niveaux de précision. Le niveau général 1 couvre presque tout le canton.

de: Die Liegenschaften aus der amtlichen Vermessung werden mit den Eigentumsinformationen aus dem Grundbuch verknüpft und ergeben somit eine Aussage über die Eigentumsverhältnisse. Die Eigentumsinformationen werden in Kategorien zusammengefasst und sind in drei Genauigkeitsstufen verfügbar. Die generelle Stufe 1 ist praktisch flächendeckend für den Kanton erfasst.

fr: Amt für Geoinformation

de: Amt für Geoinformation

fr: Catégories des propriétés foncières

de: Grundeigentumskategorien


regi

fr: Régions et villes

de: Regionen und Städte

de: see sickerwasser quelle gewasser zoneneinteilung binnengewasser fluss grundwasserschutz wertetabelle gewasserschutz

author: Amt für Wasser und Abfall - Betriebe und Abfall / Grundwasser

de: geocat.ch Permalink

fr: Lien vers le téléchargement de données (Zip)

fr: La carte de la protection des eaux du canton de Berne comporte les zones et périmètres de protection des eaux souterraines ainsi que les secteurs de protection des eaux. Y figurent également les captages d'eau potable d'intérêt public. Les thèmes du cadastre RDPPF suivantes se trouvent dans le géoproduit GSK25: - zones de protection des eaux souterraines (GeoIV 131) - périmètres de protection des eaux souterraines (GeoIV 132)

de: Die Gewässerschutzkarte des Kantons Bern beinhaltet die rechtsgültigen Grundwasserschutzzonen und -areale sowie die Gewässerschutzbereiche. Im Weiteren sind in der Karte die wichtigen Grundwasserpumpwerke und Quellen enthalten. Folgende ÖREB-Katasterthemen sind in diesem Geoprodukt GSK25 enthalten: - Grundwasserschutzzonen (GeoIV 131) - Grundwasserschutzareale (GeoIV 132)

fr: Carte de la protection des eaux

de: Gewässerschutzkarte


kommunale-nutzungsplanung

title_for_slug: kommunale-nutzungsplanung

fr: protection-de-la-nature corps-executif risque-naturel planification-de-lespace-physique amenagement-du-paysage commune planification-regionale eaux-geographie cadastre amenagement-du-territoire bois polluant-sonore tableau-des-valeurs plan planification

de: naturschutz behorde naturgefahr raumplanung landschaftsplanung gemeinde regionalplanung gewasser kataster flachennutzungsplanung wald larmbelastung wertetabelle plan planung

author: Gemeinden des Kantons Bern

fr: Thème du cadastre RDPPF L' ordonnance classe les jeux de géodonnées de base communales qui relèvent du domaine des plans d'affectation dans le cadastre des restrictions de droit public à la propriété foncière (cadastre RDPPF). Les thèmes du cadastre RDPPF suivantes se trouvent dans le géoproduit NUPLA: - Plans d'affectation communaux (OGéo ID 73C), - Degré de sensibilité au bruit (OGéo ID 145), - Distances par rapport à la forêt communales (OGéo ID 159C). Les espaces réservés aux eaux déterminés par les communes se trouvent aussi dans le géoproduit (couches 'UEGEWRF: Espaces réservés aux eaux (surfaces)' et 'UEGEWRL: Espaces réservés aux eaux (lignes)'). **Le jeu de données est en construction et n'est pas encore disponible pour l'ensemble du canton de Berne. ** Remplace le géoproduit: Plans d'affectation (NPL)

de: ÖREB-Katasterthema Die kommunalen Geobasisdatensätze im Bereich Nutzungsplanung sind gemäss der Verordnung über den Kataster der öffentlich-rechtlichen Eigentumsbeschränkungen (ÖREBKV) Bestandteile des ÖREB-Katasters. Folgende ÖREB-Katasterthemen sind in diesem Geoprodukt NUPLA enthalten: - Kommunale Nutzungsplanung (GeoIV ID 73C), - Lärmempfindlichkeitsstufen (GeoIV ID 145), - Kommunale Wald-Baulinien (GeoIV ID 159C). Enthalten sind auch die von den Gemeinden festgelegten Gewässerräume (Ebenen 'UEGEWRF: Gewässerraumflächen' und 'UEGEWRL: Gewässerraumlinien'). **Der Datensatz befindet sich im Aufbau und ist noch nicht flächendeckend für den ganzen Kanton Bern vorhanden. ** Ersetzt das Geoprodukt: Nutzungsplanung (NPL)


kantonaler-richtplan-elemente-verkehr

title_for_slug: kantonaler-richtplan-elemente-verkehr

fr: reseau-routier transport-prive infrastructure-routiere migration-pendulaire besoin transport-de-voyageurs planification-de-lespace-physique trafic transport-en-commun projet tableau-des-valeurs

de: strassennetz individualverkehr verkehrsinfrastruktur pendelverkehr bedarf personenverkehr raumplanung verkehr offentlicher-verkehr projekt wertetabelle

de: Link zum Daten-Download (Zip)

fr: Le plan directeur fixe les priorités concernant l'exploitation et l'optimisation des infrastructures des transports publics ainsi que les priorités temporelles de l'achèvement des tronçons du réseau de routes nationales décidé sur la base de critères prenant en compte l'urbanisme, les transports et l'économie. Les principales liaisons routières bernoises d'importance suprarégionale doivent être incluses dans le réseau des routes d'importance nationale. Les objectifs de la protection de l'air permettent une certaine croissance du trafic individuel motorisé. Il est possible de réserver des 'crédits de trajets' pour l'implantation d'affectations générant une importante fréquentation en des emplacements stratégiques à l'échelle cantonale.

de: Im Richtplan werden die Prioritäten für den Betrieb und den Ausbau der Infrastruktur für den öffentlichen Verkehr und für die Fertigstellung der Teilstücke des beschlossenen Nationalstrassennetzes nach siedlungs-, verkehrs- und wirtschaftspolitischen Kriterien festgesetzt. Wichtige bernische Strassenverbindungen von überregionaler Bedeutung sollen in das Netz der Strassen von nationaler Bedeutung aufgenommen werden. Die Ziele der Luftreinhaltung lassen ein gewisses Wachstum des motorisierten Verkehrs zu. Für verkehrsintensive Bauvorhaben an strategisch wichtigen kantonalen Standorten können so genannte Fahrleistungskredite reserviert werden.

fr: Amt für Gemeinden und Raumordnung

de: Amt für Gemeinden und Raumordnung

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

fr: Plan directeur cantonal, éléments des transports

de: Kantonaler Richtplan, Elemente Verkehr


religionslandkarte

soci

fr: Population et société

de: Bevölkerung und Gesellschaft

en: Population and society

it: Popolazione e società

educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

en: Education, culture and sport

it: Istruzione, cultura e sport

title_for_slug: religionslandkarte

fr: anglicane alevisme eglise synagogue lieu-de-culte reformee-evangelique temple religion vajrayana tradition-religieuse eglise-nationale catholique-romaine sikhisme christianisme lutherienne bouddhisme islam hindouisme theravada mahayana chiite bahaisme eglise-de-la-migration sunnite diversite-des-religions mosquee eglise-libre tableau-des-valeurs edifices-religieux orthodoxe judaisme catholique-chretienne

de: anglikanisch alevitentum kirche synagoge kultstatte evangelisch-reformiert tempel religion vajrayana religiose-tradition landeskirche romisch-katholisch sikh christentum lutherisch buddhismus islam hinduismus theravada mahayana schiitisch bahai migrationskirche sunnitisch religionsvielfalt moschee freikirche wertetabelle religiose-gebaude orthodox judentum christkatholisch

author: Beauftragter oder Beauftragte für kirchliche und religiöse Angelegenheiten

fr: Plusieurs communautés religieuses coexistent dans le canton de Berne. La carte numérique des religions renseigne sur leurs lieux de rassemblement, les coordonnées utiles et d’autres aspects encore. Elle présente les communautés religieuses qui organisent des rencontres régulières pour des célébrations et des rituels propres à leur tradition ainsi que pour des échanges personnels. Les communautés qui ne disposent pas de lieu fixe, les groupements mettant l’accent sur une activité d’utilité publique et d’autres groupes ayant diverses convictions à connotation religieuse ne figurent pas sur cette carte.

de: Im Kanton Bern sind verschiedene Religionsgemeinschaften beheimatet. Die digitale Religionslandkarte beinhaltet Informationen zu den Versammlungsorten, Kontaktdaten und weiteren Merkmalen der Religionsgemeinschaften im Kanton Bern. Aufgeführt werden Religionsgemeinschaften, die sich regelmässig zu Feiern und Ritualen ihrer Tradition und zu persönlichem Austausch treffen. Auf der Karte nicht berücksichtigt sind Gemeinschaften ohne festen Standort, Gruppierungen mit gemeinnützigem Fokus und weitere Gruppen verschiedener quasireligiöser Weltanschauungen.

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

fr: Carte des religions

de: Religionslandkarte


steininventare

regi

fr: Régions et villes

de: Regionen und Städte

envi

fr: Environnement

de: Umwelt

title_for_slug: steininventare

fr: geocat.ch permalien

de: geocat.ch Permalink

fr: L'inventaire des bornes de limites STEINV du canton de Berne compile l'inventaire des bornes de limites cantonales, celui des bornes de limites historiques (ancien Evêché de Bâle et abbaye de Bellelay) et celui des bornes de lieues.

de: Das Steininventar STEINV des Kantons Bern enthält die Inventare der Kantonsgrenzsteine, der Historischen Steine (Grenzsteine Fürstbistum Basel / Grenzsteine Abtei Bellelay) und der Stundensteine.

fr: Amt für Geoinformation

de: Amt für Geoinformation

fr: Inventaires des bornes

de: Steininventare


agri

fr: Agriculture, pêche, sylviculture et alimentation

de: Landwirtschaft, Fischerei, Forstwirtschaft und Nahrungsmittel

en: Agriculture, fisheries, forestry and food

it: Agricoltura, pesca, silvicoltura e prodotti alimentari

fr: utilisation-du-sol exploitation-agricole agriculture tableau-des-valeurs

de: bodennutzung landwirtschaftliche-nutzung landwirtschaft wertetabelle

author: Amt für Landwirtschaft und Natur

fr: Lien vers le téléchargement de données (Zip)

de: Link zum Daten-Download (Zip)

fr: Ce fichier provisoir présente la situation géographique des cultures agricoles selon l'année de contribution actuelle (surfaces et arbres). Le premier état d'une année de contributions est établi après le recensement du jour de référence comme données provisoires. Les géodonnées sont mises à jour une fois en printemps.

de: Dieser provisorische Datensatz umfasst die geografische Lage der räumlich erfassten landwirtschaftlichen Kulturen im laufenden Beitragsjahr (Flächen und Bäume). Der erste Zeitstand eines Beitragsjahrs wird nach Winter-/Stichtagserhebung publiziert als provisorischer Datensatz. Er wird im Frühjahr einmal nachgeführt.


lawinenverbauungen

title_for_slug: lawinenverbauungen

de: naturgefahr lawine lawinenschutz

author: Amt für Wald und Naturgefahren - Naturgefahren

fr: Périmètres de constructions paravalanche et projets de reboisement du canton de Berne

de: Perimeter der Lawinenverbauungs- und Aufforstungsprojekte im Kanton Bern

fr: Office de l'information géographique du canton de Berne

de: Amt für Geoinformation des Kantons Bern

fr: Constructions paravalanches

de: Lawinenverbauungen


fr: zone-de-protection-du-paysage zone-construite planification-de-lespace-physique commune eaux-geographie zonage cadastre amenagement-du-territoire tableau-des-valeurs planification

de: landschaftsschutzgebiet baugebiet raumplanung gemeinde gewasser zoneneinteilung kataster raumordnung-und--planung wertetabelle planung

fr: La carte synoptique des zones offre une vue d'ensemble simplifiée, tant du point de vue du contenu que des contours géographiques, des plans d'aménagement local approuvés par l'Office des affaires communales et de l'organisation du territoire. Elle indique: · une vue synoptique des origines des plans de zone, · les zones à bâtir (réparties en 28 catégories), · les périmètres des zones à planification obligatoire et des plans de quartier, · les zones de protection du paysage, · les périmètres des plans de protection des rives en vertu de la loi sur les rives des lacs et des rivières.

de: Der Übersichtszonenplan ist eine räumlich und thematisch generalisierte Zusammenfassung der vom Amt für Gemeinden und Raumordnung genehmigten Ortsplanungen der Gemeinden. Er enthält: · eine Übersicht der Herkunft der Zonenpläne; · die Bauzonen in 28 Kategorien; · die Perimeter der Überbauungsordnungen und der Zonen mit Planungspflicht; · die Landschaftsschutzgebiete; · die Perimeter der Uferschutzplanungen nach See- und Flussufergesetz.

fr: Amt für Gemeinden und Raumordnung

de: Amt für Gemeinden und Raumordnung

fr: Carte synoptique des zones 1:25'000

de: Übersichtszonenplan 1:25'000


regi

fr: Régions et villes

de: Regionen und Städte

envi

de: Umwelt

fr: reserve-naturelle tableau-des-valeurs

de: naturschutzgebiet wertetabelle

author: Amt für Landwirtschaft und Natur - Naturförderung ANF

fr: Thème du cadastre RDPPF L'ordonnance classe le jeu de géodonnées de base 'Zones cantonales de protection de la nature' (OCGéo ID 86-BE) dans le cadastre des restrictions de droit public à la propriété fon-cière (cadastre RDPPF). Le catalogue de données des réserves naturelles du canton de Berne (NSG) comprend toutes les zones protégées du canton pour lesquelles une décision de mise sous protection a été émise (arrêté de la Direction de l'économie, l’énergie et l’environement, la Direction de l'économie publique arrêté du Conseil-exécutif ou décision de la Direction des forêts). Les réserves sont des biotopes diversifiés et proches de l’état naturel. La protection des espaces vitaux et des espèces est essentielle. Pour chaque zone, les objectifs de protection sont fixés dans la décision de mise sous protection.

de: ÖREB-Katasterthema Der Geobasisdatensatz 'Kantonale Naturschutzgebiete' (KGeoIV ID 86-BE) ist gemäss der Verordnung über den Kataster der öffentlich-rechtlichen Eigentumsbeschränkungen (ÖREBKV) Bestandteil des ÖREB-Katasters. Der Datensatz der Naturschutzgebiete des Kantons Bern (NSG) umfasst alle Schutzgebiete des Kantons mit Schutzbeschluss (Beschluss der Wirtschafts-, Energie- und Umweltdirektion (BWEU), Beschluss der Volkswirtschaftsdirektion (BVD), Regierungsratsbeschluss (RRB) oder Verfügung der Forstdirektion (VFO)). Schutzgebiete sind naturnahe, vielfältige Lebensräume. Lebensraum- und Artenschutz spielen eine zentrale Rolle. Im Schutzbeschluss sind die Schutzziele jedes Gebietes festgelegt.

fr: L'Office de la géoinformation est le centre de compétence pour l'information spatiale dans le canton de Berne. Les géodonnées cantonales peuvent être utilisées gratuitement, sous réserve des conditions d'utilisation. Le Géoportail du canton de Berne est le point d'entrée central pour les cartes interactives, les géodonnées et les géoservices de l'administration cantonale.

de: Das Amt für Geoinformation ist das Kompetenzzentrum für räumliche Informationen im Kanton Bern. Die kantonalen Geodaten sind unter Einhaltung der Nutzungsbedingungen kostenlos nutzbar. Das Geoportal des Kantons Bern ist der zentrale Einstiegspunkt für interaktive Karten, Geodaten und Geodienste der kantonalen Verwaltung.

fr: Réserves naturelles

de: Naturschutzgebiete


kataster-der-netzgebiete

ener

fr: Énergie

de: Energie

en: Energy

it: Energia

fr: Environnement

title_for_slug: kataster-der-netzgebiete

fr: approvisionnement-en-energie approvisionnement-en-electricite cadastre ligne-a-haute-tension tableau-des-valeurs

de: energieversorgung elektrizitatsversorgung kataster hochspannungsleitung wertetabelle

fr: geocat.ch permalien

de: geocat.ch Permalink

fr: Désignation des zones de desserte de niveaux de réseau 3, 5, 7. L’attribution des zones de desserte permet de déterminer l’entreprise d’électricité qui est soumise à l’obligation de raccordement dans une zone délimitée géographiquement (art. 5, al. 2 LApEl) et à l’obligation de l’approvisionnement de base des consommateurs finaux (art. 6, al. 1 LApEl).

de: Bezeichnung der Netzgebiete auf den Netzebenen 3, 5, 7. Mit der Zuteilung der Netzgebiete wird festgehalten, welches Elektrizitätsunternehmen in einem geografisch abgegrenzten Gebiet die Anschlusspflicht (Art. 5 Abs 2 StromVG) und die Lieferpflicht für den Endverbraucher mit Grundversorgung (Art. 6 Abs. 1 StromVG) zu übernehmen hat.

fr: Amt für Umwelt und Energie

de: Amt für Umwelt und Energie

fr: Cadastre des zones de desserte

de: Kataster der Netzgebiete


zonenplane

title_for_slug: zonenplane

de: baulinie eigentumsbeschrankungoreb grundeigentum nutzungsplanung raumplanung zonenplan

author: Kanton Luzern, Abteilung Geoinformation

protocol: https

de: Datenshop

de: Produktansicht Geodatenshop

format: SERVICE

de: Zonenpläne sind grundeigentümerverbindlich und regeln die zulässige Art der Bodennutzung im Gebiet einer Gemeinde.

spatial: Kanton Luzern

de: Kanton Luzern, Abteilung Geoinformation

fr: Géoinformation du canton de Lucerne

de: Geoinformation Kanton Luzern

en: Geoinformation Canton of Lucerne

it: Geoinformazione del Cantone di Lucerna

fr: La géoinformation du canton de Lucerne est responsable de la collecte, du traitement et de la gestion des données à référence spatiale. Elle dirige, coordonne et surveille les travaux de la géoinformation et de la mensuration officielle.

en: Geoinformation of the Canton of Lucerne is responsible for the collection, processing and management of spatial data. It manages, coordinates and monitors the work of geoinformation and of the cadastral surveying.

de: Die Geoinformation des Kantons Luzern ist für die Erhebung, Verarbeitung und Verwaltung von raumbezogenen Daten zuständig. Sie leitet, koordiniert und überwacht die Arbeiten der Geoinformation und der amtlichen Vermessung.

it: La Geoinformation del Cantone di Lucerna è responsabile della raccolta, dell'elaborazione e della gestione dei dati territoriali. Gestisce, coordina e monitora il lavoro della geoinformazione e della misurazione ufficiale.

value: LU-Kt - Geocat Harvester

de: Nutzungsplanung: Zonenpläne


educ

fr: Éducation, culture et sport

de: Bildung, Kultur und Sport

regi

de: Regionen und Städte

envi

de: Umwelt

de: gebaude-und-anlagen strahlung telekommunikation ver--und-entsorgung

de: Zeigt Antennenstandorte mit Angaben zu Betreiber und Mobilfunkstandard. Angezeigt werden Basisstationen für 2G, 3G, 4G und 5G - Mobilkommunikation.

de: Antennenstandorte Mobilfunk


nutzungsdichte-im-kanton-zurich

maintainer: Amt für Raumentwicklung des Kantons Zürich, Raumplanung

title_for_slug: nutzungsdichte-im-kanton-zurich

de: gemeinden raumentwicklung

fr: Raumbeobachtung

de: Raumbeobachtung

en: Raumbeobachtung

it: Raumbeobachtung

de: Einwohner und Beschäftigte pro Hektare ab 2012

de: Durchschnittliche Anzahl Einwohner und Beschäftigte pro Hektare überbaute Wohn-, Misch- und Arbeitszonen im Kanton Zürich. Die Spalte "ARPNR" ist eine kantonsinterne Nummerierung, um im Vergleich zur Spalte "BFSNR" neben den Gemeinden und Städten zusätzlich auch die Regionen und den Kanton Zürich als Ganzes identifizieren zu können. Bei der Berechnung der Werte wurden Wohn-, Misch- und Arbeitszonen auf Stufe Gemeinde im Umfang von weniger als 2 Hektare nicht berücksichtigt.

format: XLS

media_type: text/csv

de: Durchschnittliche Anzahl Einwohner und Beschäftigte pro Hektare überbaute Wohn-, Misch- und Arbeitszonen im Kanton Zürich. Mit der Spalte «GEO_LEVEL_LEVEL» können im Vergleich zur Spalte «BFS_NR» neben den Gemeinden und Städten (3) zusätzlich auch die Regionen (6) und der Kanton Zürich (1) als Ganzes identifiziert werden Die Spalte GEBIET_NAME beinhaltet sowohl Gemeinden, Städte, Regionen als auch den ganzen Kanton Zürich. Bei der Berechnung der Werte wurden Wohn-, Misch- und Arbeitszonen auf Stufe Gemeinde im Umfang von weniger als 2 Hektare nicht berücksichtigt.

format: CSV

de: Mit der Nutzungsdichte wird aufgezeigt, wie viele Einwohner und Beschäftige pro Hektare Bauzone (Wohn-, Misch- und Arbeitszonen) durchschnittlich wohnen bzw. arbeiten. Es werden Daten auf Stufe Gemeinde, Planungsregion und für den Kanton Zürich als Ganzes bereitgestellt. Datenquellen sind die Einwohnerdaten des Statistischen Amts Kanton Zürich, Beschäftigtendaten des Bundesamts für Statistik (BFS) und die Nutzungszonen gemäss ÖREB-Kataster des Kantons Zürich.

gemeinden

display_name: gemeinden

raumentwicklung

display_name: raumentwicklung

are-kanton-zuerich

de: Amt für Raumentwicklung Kanton Zürich

de: Das Amt für Raumentwicklung ist die kantonale Fachstelle für Raumplanung, Geoinformation und Kulturgütererhaltung. Es trägt zur Förderung der Standortqualität des Lebens- und Wirtschaftsraums Zürich bei.

key: guid

key: uri

value: ZH-Kt ARE - DCAT Harvester

de: Nutzungsdichte im Kanton Zürich


maintainer: Statistisches Amt des Kantons Zürich, Data Shop

de: steuerertrag einkommensverteilung

author: Statistisches Amt des Kantons Zürich

fr: Vorbereiteter Code in R oder Python für jedes Dataset mit csv-Datei(en)

de: Steuererträge nach Vermögensklassen

de: Steuererträge nach Einkommensklassen

de: Die Basis für die Berechnung der approximativen Steuererträge bildet das steuerbare Einkommen gemäss Bundessteuer. Das steuerbare Einkommen gemäss Bundesteuer kann aufgrund unterschiedlicher Abzüge von dem für die Staats- und Gemeindesteuer massgebenden Einkommen abweichen. Für die unterschiedlich hohen Kinderabzüge wurde eine Korrektur vorgenommen. Für andere Positionen werden keine Korrekturen vorgenommen (z.B. Berufsauslagen).

de: Steuerertrag nach Einkommens- und Vermögensklassen auf Basis der Bundessteuerdaten des kantonalen Steueramts.

einkommensverteilung

display_name: einkommensverteilung

steuerertrag

display_name: steuerertrag

statistisches-amt-kanton-zuerich

de: Statistisches Amt Kanton Zürich

de: Das Statistische Amt ist das Kompetenzzentrum für die öffentliche Statistik im Kanton Zürich. Wir versorgen Bevölkerung, Verwaltung, Politik, Gemeinden, Medien, Firmen und sonstige Organisationen mit qualitativ hochstehenden Daten, Informationen und Fakten zum Kanton Zürich. Inhaltlich arbeiten wir unabhängig und objektiv.

value: ZH-Kt Statistisches Amt - DCAT Harvester

de: Steuererträge nach Einkommens- und Vermögensklassen


maintainer: Luca Bütikofer

en: landscape-change landscape land-use machine-learning land-cover modelling

media_type: application/zip

en: Compressed (.zip) file containing six georeferenced raster files in the GeoTIFF format with embedded coordinate reference system, and a table (comma separated values, .csv) encoding a colour palette for plotting (HEX colour codes for each class). GeoTIFF file names include the time-step and the RCP (e.g. “LULC_2020_2049_RCP45.tiff”). Each raster file has 3484x2207 square pixels (i.e. 7.7 megapixels) and is projected in the Swiss coordinate system CH1903+/LV95 (EPSG:2056).

en:
Code used to produce the Land-use/land-cover forecasts for Switzerland across the 21st century at 100-m resolution.
The script is based on input data which are not included as they are not freely available, therefore it will not run as it is. These input data are described in the accompanying publication on Data Science access to them can be requested to their owners. Alternatively the code can be modified to run on other data.

en: We present forecasts of land-use/land-cover (LULC) change for Switzerland for three time-steps in the 21st century under the representative concentration pathways 4.5 and 8.5, and at 100-m spatial and 14-class thematic resolution. We modelled the spatial suitability for each LULC class with a neural network (NN) using >200 predictors and accounting for climate and policy changes. We used data augmentation to increase performance for underrepresented classes, resulting in an overall quantity disagreement of 0.053 and allocation disagreement of 0.15, which indicate good model performance. These class-specific spatial suitability maps outputted by the NN were then merged in a single LULC map per time-step using the CLUE-S algorithm, accounting for LULC demand for the future and a set of LULC transition rules. As the first LULC forecast for Switzerland at a thematic resolution comparable to available LULC maps for the past, this product lends itself to applications in land-use planning, resource management, ecological and hydraulic modelling, habitat restoration and conservation.

land-cover

display_name: land-cover

land-use

display_name: land-use

landscape

display_name: landscape

landscape-change

display_name: landscape-change

machine-learning

display_name: machine-learning

modelling

display_name: modelling

educ

de: Bildung, Kultur und Sport

envidat

fr: EnviDat: le portail de données environnementales

de: EnviDat: das Umwelt-Datenportal

en: EnviDat: the Environmental Data Portal

it: EnviDat: il portale dei dati ambientali

fr: EnviDat est le portail de données du WSL; il offre un accès uniformisé et réglementé aux données de surveillance et de recherche en matière d’environnement. Ce portail est capable d’héberger et de publier des ensembles de données précieuses et uniques, qui sont partagées aux quatre coins de la planète. Ce faisant, EnviDat favorise la recherche et contribue à l’avancement des sciences environnementales.

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

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

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

political_level: other

value: Envidat Harvester

en: High resolution land use forecasts for Switzerland in the 21st century


maintainer: EnviDat Support

en: zonation global-change conservation taxonomic-diversity species-distribution-models land-use-change functional-diversity european-alps plants beta-diversity migclim phylogenetic-diversity

en: Updated SDM outputs

en: Refined scenarios of plants distribution in the European Alps

format: GeoTIFF

en: Data Access

en:
This repository contains extensive data for the European Alps:
  - Observations of ~3,500 plant species
  - Climate (1-km), soil (100-m) and land cover predictors (1km); current and future scenarios (28 CMIP6-GCMs, 2 land cover change and 3 dispersal scenarios i.e., unlimited, no and realistic vegetation dispersal)
  - Flora migration rates (categorical) and ecological preferences (continuous indicator values)
  - Regional maps of barriers to migration and water bodies at 100-m resolution
  - Sampling effort, distance to roads and cities predictors at 100-m resolution
  - Present and future abundances over the study region at 1-km resolution (~2,000 species)
  - Present and future multifaceted and uniqueness of the European Alps' Flora at 1-km resolution
  - Present and future conservation recommendations at 1-km resolution (26 current and future strategies)
  - Phylogenetic data and functional traits of ~2,000 plants (raw data and classification trees)
  - All scripts, data and plots used for the analyses, including a singularity container (mini-linux) to run them

beta-diversity

display_name: beta-diversity

conservation

display_name: conservation

european-alps

display_name: european-alps

functional-diversity

display_name: functional-diversity

global-change

display_name: global-change

land-use-change

display_name: land-use-change

migclim

display_name: migclim

phylogenetic-diversity

display_name: phylogenetic-diversity

plants

display_name: plants

species-distribution-models

display_name: species-distribution-models

taxonomic-diversity

display_name: taxonomic-diversity

zonation

display_name: zonation

en: Present and future multifaceted plant diversity, uniqueness and conservation in the European Alps


en: european-beech norway-spruce climate-change douglas-fir drought

en: This file contains the growth data of the 8 plant species used in the Doch-WO experiment.

en: This data is related to the publication "Non-native Douglas fir seedlings outcompete native Norway spruce, silver fir and Scots pine under dry and nutrient-poor conditions". It contains growth and biomass data on Douglas fir seedlings in competition with three native conifers and four native broadleaf trees over three years und varying environmental conditions (i.e., water, nutrients and light availabilities).

climate-change

display_name: climate-change

douglas-fir

display_name: douglas-fir

drought

display_name: drought

european-beech

display_name: european-beech

norway-spruce

display_name: norway-spruce

educ

en: Education, culture and sport

en: Data on Douglas fir seedlings from the DOCH-WO experiment


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

en: Community matrix (saproxylic beetles)

en: Abundances of saproxylic beetle species for each branch bundle

en: Forest and environmental variables

en: Data on the branch bundle, forest and environmental variables

en: Variable description

en: Detailed description of the forest and environmental variables

en: Community matrix (all beetles)

en: Abundances of all beetle species for each branch bundle

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

biodiversity

display_name: biodiversity

colonisation

display_name: colonisation

dead-wood

display_name: dead-wood

forest-management

display_name: forest-management

habitat-availability

display_name: habitat-availability

habitat-heterogeneity

display_name: habitat-heterogeneity

saproxylic-beetles

display_name: saproxylic-beetles

sloss

display_name: sloss

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


maintainer: Paraskevi Georgakaki

en: jungfraujoch swiss-alps liquid-water-content wrf blowing-snow ice-water-content ice-crystal-number-concentration secondary-ice-production

en: WRF outputs

en:
The .zip file contains all the NetCDF outputs produced by the mesoscale Weather Research and Forecasting (WRF) model (version: 4.0.1). Two case studies were simulated in this study, between 25-28 January 2014 (00:00 UTC) and 29 January - 1 February 2014 (00:00 UTC), respectively. The former is denoted as "NW" and the latter as "SE", owing to the prevailing wind conditions at the Jungfraujoch (JFJ) station.

The outputs come from the innermost domain of the simulations with a spatial resolution of 1 km and are extracted from the nearest to JFJ model grid point (46.55°N 7.98°E). The dimensions of each model variable is [145,100], which corresponds to time and height, respectively. The frequency of the outputs is 30 min. Note that the first 24 hours of each simulation (i.e., the first 48 outputs) were considered spin up time.

The following sets of sensitivity simulations were presented in this study:

* CNTRL_NW.nc, CNTRL_SE.nc : Sensitivity simulations performed with the default version of WRF
* DS_PHILL_NW.nc, DS_PHILL_SE.nc : Sensitivity simulations including a description of the droplet shattering process following Phillips et al. (2018)
* DS_SULL_NW.nc, DS_SULL_SE.nc : Sensitivity simulations including a description of the droplet shattering process following Sullivan et al. (2018)
* PHILL_NW.nc, PHILL_SE.nc : Sensitivity simulations including a description of the ice-ice collisional break-up process following Phillips et al. (2017)
* TAKAH_NW.nc, TAKAH_SE.nc : Sensitivity simulations including a description of the ice-ice collisional break-up process following Sullivan et al. (2018) based on Takahashi et al. (1995)
* TAKAHrim_NW.nc, TAKAHrim_SE.nc : Same set-up as before but applied only to collisions between rimed ice particles
* BIPS_Xk0_DY_NW.nc, BIPS_Xk0_DY_SE.nc : Sensitivity simulations including a source of Xk0 (either 10.0 or 100.0 L⁻¹) ice crystals with sizes of DY (either 10 or 100 μm) in the first atmospheric level of the model
* BIPS100_PHILL_NW.nc, BIPS100_PHILL_SE.nc : Sensitivity simulations where the combined effect of blowing snow and ice-ice collisional break-up is examined

en: Observational data

en:
The .zip file contains 6 .csv files including all microphysical measurements taken at the Jungfraujoch station during the two periods of interest:

* 25-28 January 2014 : northwesterly-winds (NW)
* 29 January - 1 February 2014 : southeasterly-winds (SE)

The total Ice Crystal Number Concentration (ICNC; reported in L⁻¹) is measured by the two-dimensional stereo hydrometeor spectrometer (2D-S; Lawson et al., 2006) over the size range 10-1280 μm. The total ice water content (IWC; reported in gm⁻³) is also derived by the 2D-S data using the Brown and Francis (1995) mass-diameter relationship. Finally, the quantification of the liquid water content (LWC; reported in gm⁻³) is based on the liquid droplet size distribution data derived from a DMT cloud droplet probe (CDP; Lance et al., 2010) over the size range 2-50 μm. The frequency of the measurements in the .csv files is 30 min, to match the output frequency of the model. Datetime is also reported in the files (DD/MM/YYYY h:mm) in UTC.

Acknowledgment: Collection and pre-processing of the microphysical measurements has been performed by Gary Lloyd (gary.lloyd@manchester.ac.uk). More details about the instrumentation during the CLACE2014 campaign can be found in Lloyd et al. (2015).

en:
This repository contains all WRF model outputs and observational data sets used for the paper:
Georgakaki, P., Sotiropoulou, G., Vignon, É., Billault-Roux, A.-C., Berne, A., and Nenes, A.: Secondary ice production processes in wintertime alpine mixed-phase clouds, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-760, in review, 2021.

blowing-snow

display_name: blowing-snow

ice-crystal-number-concentration

display_name: ice-crystal-number-concentration

ice-water-content

display_name: ice-water-content

jungfraujoch

display_name: jungfraujoch

liquid-water-content

display_name: liquid-water-content

secondary-ice-production

display_name: secondary-ice-production

swiss-alps

display_name: swiss-alps

wrf

display_name: wrf

envidat

en: EnviDat: the Environmental Data Portal

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: Data for the publication "Secondary ice production processes in wintertime alpine mixed-phase clouds"


en: birds urban pest-invasion urban-ecology periurban urban-biodiversity insect-herbivores biodiversity-experiment biodiversity

en:
We established our study sites in the cities of Basel, Lugano and Zurich, and their peri-urban forests. We characterised urban tree cover of each city using a rectangular grid with squares of 100x100 m. Within each square, we measured the area covered by urban trees using the European Union's Copernicus Land Monitoring Service information, Urban Atlas Street Tree Layer 2018 [https://doi.org/10.2909/205691b3-7ae9-41dd-abf1-1fbf60d72c8c](https://doi.org/10.2909/205691b3-7ae9-41dd-abf1-1fbf60d72c8c).
Then we assigned each square to four categories of urban tree cover that roughly represented the main types of urban uses:
1) low cover, industrial/commercial areas, 0-20% tree cover;
2) intermediate cover, residential areas, 20-40% tree cover;
3) high cover, urban parks and cemeteries, 40-60% tree cover;
4) peri-urban forests (natural/semi-natural forests), 60-100% tree cover.

Our study sites consisted of eight 1.2 km-long transects in each city, equally distributed across the four tree cover categories. We designed an experimental measurements of bird predation rate on herbivore insect larvae using artificial caterpillars. They mimicked a variety of common, cryptically-coloured herbivorous species, which are usually preyed by birds. We designed caterpillars with green water-resistant modelling clay (Staedtler Noris®), 4-6 cm long and approximately 0.5 cm wide. Caterpillars were threaded to a thin (Ø = 0.6 mm) zinc-plated iron wire and tethered to branches of trees or bushes at a height up to 2 m from the ground. We placed 2-4 caterpillar mimics every 200 m along each transect (five points per transect) or, when not possible due to absence of suitable branches, within 200 m from the point.
In total, we placed 270 caterpillar mimics at 115 points during the late breeding season (June-July 2023). Caterpillar mimics were checked after 10-14 days and replaced with new ones at new locations within 10 m from the previous ones. During each of the two visits, we counted the number of bird predation marks.

biodiversity-experiment

display_name: biodiversity-experiment

birds

display_name: birds

insect-herbivores

display_name: insect-herbivores

periurban

display_name: periurban

pest-invasion

display_name: pest-invasion

urban

display_name: urban

urban-biodiversity

display_name: urban-biodiversity

urban-ecology

display_name: urban-ecology

educ

en: Education, culture and sport

en: Urban bird predation on artificial caterpillars


en: urban-morphology built-up-classification forest-gain spatial-modelling land-use-and-cover-change nature-conservation urban-compactness basic-services forest-persistence planning-outcome topography urban-sprawl

en: Master plan Ubatuba (zones)

en: Ecological-Economic Zoning (EEZ)

format: SHP

en: Permanent housing density increase

en: Native forest cover gains from 2005 to 2015

en: Master plan Ihabela (zones)

en: Urban persistence: Built-up 2005 = Built-up 2015

en:
Basic education in % per census sector (change per
year)

en: Increase in Normalized Difference Vegetation Index

en: Native forest cover persistence from 2005 to 2015

en: Increase in waste collection service

en: slope

en: Slope °

en: Variables description

media_type: application/pdf

en: Table of content. Variables description, source, and other important information

format: PDF

en: Increase in clean water provision service

en: Topographic Index Position (TPI)

en: Increase in sanitation service

en: Mean income in Reais (R$) per census sector (change per year)

en: Axial

en: New built-up pixels classified as axial

en: Human Development Index (HDI) per municipality (change per year)

en: Descricao dos dados em portiuguês

en: Portugues description

en: isolated

en: New built-up pixels classified as isolated

en: infill

en: New built-up pixels classified as infill

en: Population density per pixel (change per year)

en:
The present dataset is part of the published scientific paper entitled “The role of spatial planning in land change: An assessment of urban planning and nature conservation efficiency at the southeastern coast of Brazil” (Pierri Daunt, Inostroza and Hersperger, 2021). In this work, we evaluated the conformance of stated spatial planning goals and the outcomes in terms of urban compactness, basic services and housing provision, and nature conservation for different land-use strategies. We evaluate the 2005 Ecological-Economic Zoning (EEZ) and two municipal master plans from 2006 in a coastal region in São Paulo State, Brazil. We used Partial Least Squares Path Modelling (PLS-PM) to explain the relationship between the plan strategies and land-use change ten years after implementation in terms of urban compactness, basic services and housing increase, and nature conservation.

We acquired the data for the explanatory variables from different sources listed on Table 1. Since the model is spatially explicit, all input data were transformed to a 30 m resolution raster. Regarding the evaluated spatial plans, we acquired the zones limits from the São Paulo State Environmental Planning Division (CPLA-SP), Ilhabela and Ubatuba municipality.

1)	Land use and cover data: Urban persistence, Urban axial, Urban infill, Urban Isolates, Forest cover persistence, Forest cover gain, NDVI increase

We acquired two Landsat Collection 1 Higher-Level Surface Reflectance images distributed by the U.S. Geological Survey (USGS), covering the entire study area (paths 76 and 77, row 220, WRS-2 reference system, https://earthexplorer.usgs.gov/). We classified one image acquired by the Landsat 5 Thematic Mapper (TM) sensor on 2005-05-150, and one image from the Landsat 8 Operational Land Imager (OLI) sensor from 2015-08-15. We collected 100 samples for forest cover, 100 samples for built-up cover and 100 samples for other classes. We then classified these three classes of land cover at each image date using the Support Vector Machine (SVM) supervised algorithm (Hsu et al., 2003), using ENVI 5.0 software.

Land-use and land-cover changes from 2005 to 2015 were quantified using map algebra, by mathematically adding them together in pairs (10*LULC2015 + LULC2005). We reclassified the LULC data into forest gain (conversion of any 2005 LULC to forest cover in 2015); forest persistence (2005 forested pixels that remained forested in 2015); new built-up area (conversion of any 2005 LULC to built-up in 2015); and urban maintenance (2005 built-up pixels that remained built-up in 2015).

To describe the spatial configuration of the urban expansion, we classified the new built-up areas into axial, infill and isolated, following Inostroza et al. (2013) (For details, please refer to Supplementary Material I at the original publication).

The NDVI was obtained from the same source used for the LULC data. With the Google Engine platform, we used an annual average for the best pixels (without clouds) for 2005 and 2015, and we calculated the changes between dates. We used increases of > 0.2 NDVI to represent an improvement in forest quality.

2)	Federal Census data organization: Urban Basic Services and Housing indicator, socioeconomic and population:

The data used to infer the values of basic services provision, socioeconomic and population drivers was derived from the Brazilian National Census data (IBGE, 2000 and 2010). Population density, permanent housing unit density, mean income, basic education, and the percentage of houses receiving waste collection, sanitation and water provision services, called basic services in the context of this study, were calculated per 30 m pixel. The Human Development Index is only available at the municipality level. We attributed the HDI for the vector file with the municipality border, and we rasterized (30 m resolution) this file in QGIS. Annual rates of change were then calculated to allow comparability between LULC periods. To infer the BSH, we used only areas with an increase in permanent housing density and basic services provision (See Supplementary Material I at the original publication).

3)	Topographic drivers

To infer the values of the topographic driver, we used the slope data and the Topographic Index Position (TPI) based on the digital elevation model from SRTM (30 m resolution) produced by ALOS (freely available at eorc.jaxa.jp/ALOS/en/about/about_index.htm), and both variables were considered constant from 2005 to 2015 (See Supplementary Material I at the original publication).

basic-services

display_name: basic-services

built-up-classification

display_name: built-up-classification

forest-gain

display_name: forest-gain

forest-persistence

display_name: forest-persistence

land-use-and-cover-change

display_name: land-use-and-cover-change

nature-conservation

display_name: nature-conservation

planning-outcome

display_name: planning-outcome

spatial-modelling

display_name: spatial-modelling

topography

display_name: topography

urban-compactness

display_name: urban-compactness

urban-morphology

display_name: urban-morphology

en: Spatially explicit data to evaluate spatial planning outcomes in a coastal region in São Paulo State, Brazil


en: air-temperature precipitation glaciers orography paleo-climate last-glacial-maximum

en: Technical documentation

en: Technical documentation containing file metadata and variable descriptions.

mimetype: application/pdf

en: Data Access

en:
High resolution, downscaled climate model data are used in a wide variety of applications in environmental sciences. Here we present the CHELSA-TraCE21k downscaling algorithm to create global monthly climatologies for temperature and precipitation at 30 arcsec spatial resolution in 100 year time steps for the last 21,000 years. Paleo orography at high spatial resolution and at each timestep is created by combining high resolution information on glacial cover from current and Last Glacial Maximum (LGM) glacier databases with the interpolation of a dynamic ice sheet model (ICE6G) and a coupling to mean annual temperatures from CCSM3-TraCE21k. Based on the reconstructed paleo orography, mean annual temperature and precipitation was downscaled using the CHELSA V1.2 algorithm.

The data is published under a Creative Commons Attribution 2.0 Generic (CC BY 2.0) license.

air-temperature

display_name: air-temperature

glaciers

display_name: glaciers

last-glacial-maximum

display_name: last-glacial-maximum

orography

display_name: orography

paleo-climate

display_name: paleo-climate

precipitation

display_name: precipitation

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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: CHELSA-TraCE21k: Downscaled transient temperature and precipitation data since the last glacial maximum


maintainer: Thomas Wohlgemuth

en: forest-management biodiversity soil-impacts pairwise-stand-comparisons biogeography

en: headers

en: Description of headers for data_wohlgemuth_etal_Neobiota_2022

en: Baseline data

en: references

en: Bibliography of all references cited in data_wohlgemuth_etal_Neobiota_2022.

en: Compiled data on the impacts of seven important NNTs (Acacia dealbata, Ailanthus altissima, Eucalyptus globulus, Prunus serotina, Pseudotsuga menziesii, Quercus rubra, Robinia pseudoacacia) on physical and chemical soil and biodiversity in Europe, and summarise commonalities and differences. A total of 107 publications considered, studies referred to biodiversity attributes and soil properties: 2804 lines and 30 rows.

biodiversity

display_name: biodiversity

biogeography

display_name: biogeography

forest-management

display_name: forest-management

pairwise-stand-comparisons

display_name: pairwise-stand-comparisons

soil-impacts

display_name: soil-impacts

en: Impact of non-native tree species in Europe on soil properties and biodiversity: a review


maintainer: Markus Schlegel

en: air-sampling monitoring metabarcoding environmental-dna spore-dispersal

en: Data files and analysis scripts (Version 2)

en: This ZIP archive contains the data and source code necessary to reproduce the analyses for the manuscript "A case study on the application of spore sampling for the monitoring of macrofungi". Please refer to README.pdf inside the archive for more information.

en: Data files and analysis scripts (Version 1)

en: This ZIP archive contains the data and source code necessary to reproduce the analyses for the manuscript "A case study on the application of spore sampling for the monitoring of fungi". Please refer to README.pdf inside the archive for more information.

mimetype: application/zip

en:
Resources associated with the manuscript *A case study on the application of spore sampling for the monitoring of macrofungi* ([Schlegel et al. 2024](https://doi.org/10.1111/1755-0998.13941)).
Airborne environmental DNA (eDNA) monitoring of fungi was evaluated on a species-rich grassland site. Extensive fruiting body surveys yielded 29 waxcap and clavarioid species, 19 of which were also detectable in air eDNA. The analysis indicates that spores of locally occurring fruiting bodies were detected, in addition to a large diversity of common fungal species, while rare and threatened species were under-represented in the air.
*Version 1* of the dataset was submitted during the review phase. *Version 2* contains minor changes and clarifications, and is up to date with the [published supplement](https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1755-0998.13941&file=men13941-sup-0001-AppendixS1.pdf) of the study.
The contents of the ZIP archive:
* analysis scripts in [R-Markdown](https://rmarkdown.rstudio.com) format, including the rendered PDF output with figures and tables (*analysis* directory)
* eDNA sample metadata (*amplicon_meta*) and results of the amplicon clustering (*amplicon_data*) and the source code of the pipeline (*amplicon_pipeline*)
* positions of all fruiting body groups found in the surveys (3838 GPS points) (*surveys*)
* positions of the spore traps, taxonomy of studied grassland fungi and red-list species, and many more resources
Please refer to `README.pdf` inside the archive for a complete description of the file structure and information on how to reproduce the analyses.

air-sampling

display_name: air-sampling

environmental-dna

display_name: environmental-dna

metabarcoding

display_name: metabarcoding

monitoring

display_name: monitoring

spore-dispersal

display_name: spore-dispersal

en: Supporting information for case study on the application of spore sampling for the monitoring of macrofungi


maintainer: Jonas Stillhard

en: swiss-plateau forest-in beech temperate-forests forest-reserves

en: Results trees

en:
The file results_trees.csv contains results of living, standing and lying and dead standing
trees as well as for stumps (trees found on the plot but broken / cut below 1.3 m).

en: Results regeneration

en: The file results_regeneration.csv contains results of the regeneration survey.

en: Lookup

en: The file lookup.csv contains description for the values shown in the 5 result tables.

en: Data description

en: This document briefly describes the datasets.

en: Results lying deadwood

en: The file results_lying_deadwood.csv contains results of the lying deadwood survey.

en: Results habitat trees

en: The file results_habitat_trees.csv contains results for the number of habitat trees.

en: Results TreMs

en: The file results_trems.csv contains results for the density of TreMs per ha.

en:
The Jorat is one of the largest continously forested areas in the Swiss Plateau. On a forested area of 778 ha, the Parc Naturel du Jorat (PNJ), a periurban parc, has been established in 2022. To document the initial state of the forest within the perimeter of the PNJ, a sample plot inventory (SPI) was carried out on 132 sample plots (SP) in winter 2021/22.
This dataset contains results from this sample plot inventory. It consists of the following files:
- results_trees.csv: Results for or living and dead trees.
- results_regeneration.csv: Results for trees with DBH < 7.0 cm, assessed in three height classes.
- results_lying_deadwood.csv: Results for lying deadwood, assessed no three line transects
- results_trems.csv: Results for occurence of tree related microhabitats (TreMs)
- results_habitat_trees.csv: Results for occurence / densities of trees carrying at least one TreM or with a DBH >= 80 for living trees or >= 36 cm for dead trees respectively.
- lookup.csv: Contains lookup tables which describe the respective results in-depth.
- data_description.pdf: Briefly describes the datasets mentioned above.

beech

display_name: beech

forest-in

display_name: forest-in

forest-reserves

display_name: forest-reserves

swiss-plateau

display_name: swiss-plateau

temperate-forests

display_name: temperate-forests

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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: Sample plot inventory data form the Parc Naturel du Jorat


en: saltation-parameterizations drifting-snow snow-saltation aerodynamic-entrainment splash large-eddy-simulation

en: Code and input files to reproduce the simulations in Melo et al. (2024), as well as the post-processing scripts used in the analysis.

en:
This dataset includes the necessary files to reproduce the results presented in Melo et al. (2024):
- code version used in the simulations (also available at the institutional [GitLab repository](https://gitlabext.wsl.ch/atmospheric-models/les-lsm) - tag 'r2024')
- input files to run the simulations
- post-processing scripts (MATLAB and FORTRAN)
- selected raw output files
- post-processed results (MATLAB data files).
 	**Note:** Direct model outputs are not provided because of their size, but they can be shared upon request. They can be reproduced by running the code. The post-processed results allow you to reproduce all figures in Melo et al. (2024).

aerodynamic-entrainment

display_name: aerodynamic-entrainment

drifting-snow

display_name: drifting-snow

large-eddy-simulation

display_name: large-eddy-simulation

saltation-parameterizations

display_name: saltation-parameterizations

snow-saltation

display_name: snow-saltation

splash

display_name: splash

en: Understanding snow saltation parameterizations - Reproducibility


maintainer: Anita C Risch

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

en: Risch et al. GEB_data.xlsx

en:
Study sites and experimental design
We collected data from 23 sites that are part of the Nutrient Network Global Research Cooperative (NutNet, https://nutnet.umn.edu/). The mean annual air temperature (MAT) across these sites ranged from -4 to 22°C, mean annual precipitation (MAP) from 252 to 1592 mm, and elevations from 6 to 4261 m above sea level (Fig 1a, Supplementary Table S1), hence cover a wide range of climatic conditions under which grasslands occur (Fig 1b). Soil organic C concentrations ranged between 0.8 to 7.8%, soil total N concentrations between 0.1 and 0.6%, and the soil C:N ratio between 9.1 and 21.5. Soil clay content spanned from 3.0 to 35%, and soil pH from 3.4 to 7.6 (Supplementary Table S2).
At each site, the effects of nutrient addition and herbivore exclusion were tested via a randomized-block design (Borer et al., 2014). Three blocks with 10 treatment plots each were established at each site, except for the site at bldr.us (only two blocks). Each of these 10 plots was randomly assigned to a nutrient or fencing treatment. An individual plot was 5 x 5 m, divided into four 2.5 x 2.5 m subplots. Each subplot was further divided into four 1 x 1 m square sampling plots, one of which was set aside for soil sampling (Borer et al., 2014). Plots were separated by at least 1 m wide walkways. We collected soil samples from four different treatments for this study: (i) untreated control plots (Control), (ii) herbivore exclusion plots (Fence), (iii) plots fertilized with N, P, K, plus nine essential macro and micronutrients (NPK), and (iv) plots with simultaneous fertilizer addition and herbivore exclusion (NPK+Fence). The experiments were established at different times in the past, with years of treatment different among sites (2 – 9 years since start of treatment; Supplementary Table S1). For the nutrient additions, all sites applied 10 g N m-2 each year as time-release urea; 10 g P m-2 yr-1 as triple-super phosphate; 10 g K m-2 yr-1 as potassium sulfate. A micro-nutrient mix (Fe, S, Mg, Mn, Cu, Zn, B, Mo, Ca) was applied at 100 g m-2 together with K in the first year of treatments but not thereafter.
We excluded large vertebrate herbivores (Fence) by fencing two plots, one with and one without NPK additions, within each block. The fences excluded all aboveground mammalian herbivores with a body mass of over 50 g (Borer et al., 2014). At most sites, the fences were 180 cm high, and the fence contained a wire mesh (1 cm holes) for the bottom 90 cm with a 30 cm outward-facing flange stapled to the ground to exclude burrowing animals. Climbing and subterranean animals may potentially still access these plots (Borer et al., 2014). For slight modifications in fence design at a few sites see Supplementary Table S3. Most sites only had wild herbivores, although four sites were also grazed by domestic animals (Supplementary Table S1).

Collection of soil samples, soil microbial respiration, microbial biomass, and other soil properties
Each of the 23 sites received a package containing identical material from the Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Switzerland to be used for sampling (Risch et al., 2015; Risch et al., 2019). We collected two soil cores of 5 cm diameter and 12 cm depth in each sampling plot and composited them to measure MR, MBC, and soil chemical properties (see below). An additional sample (5 x 12 cm) was collected to assess soil physical properties. This sample remained within a steel sampling core after collection and both ends were tightly closed with plastic caps to avoid disturbance. All soils were shipped cooled to the laboratory at (Location will be disclosed after manuscript acceptance) within a few days after collection. Soils were sampled roughly 6 weeks prior to peak biomass at each site during 2015 and 2016.
To assess MR (CO2 production) in a laboratory incubation experiment we weighed duplicate soil samples (8 g dry soil equivalent) into 50-ml Falcon tubes. No additional substrate (glucose, sugar) was added to these samples. We adjusted the soil moisture of each sample to 60% field capacity. We then placed a 15 ml plastic test tube (Semadeni 1701A) containing 7.25 ml 0.05 M NaOH over each soil sample. The test tube was fixed with a plastic rod so that it was not in contact with the soil sample. The Falcon tubes were then sealed with a screw cap and placed in an incubator under completely dark conditions at 20°C. The CO2 produced by microbial respiration was absorbed by the 0.05 M NaOH. For five weeks we measured the decrease in conductivity within the 0.05 M NaOH solution on a weekly basis with a Multimeter WTW Multi 3410 (WTW GmbH, Germany) and replaced the 0.05 M NaOH with fresh solution. We included Falcon tubes without soil samples in each incubation run as blanks to test if tubes were tight and no CO2 could enter or escape. We calibrated the relationship between conductivity reduction and NaOH absorbed as follows: 400 ml 0.05 M NaOH was placed in a beaker and its conductivity was measured with the multimeter. While stirring, air containing CO2 was blown into the solution for approximately one minute, which reacts with NaOH to form Na2CO3. After this process, conductivity was measured again. We then transferred 7.25 ml of the solution into a smaller beaker and added 1 ml of 0.1 M BaCl2 to precipitate Na2CO3 and then titrated the solution with 0.05 M HCl to determine the remaining NaOH. We then repeated these steps with the remaining solution a total of nine times and plotted the conductivities (y-axis) against the NaOH consumed (x-axis, Supplementary Fig S1). This regression line was used to infer the consumption of NaOH from the conductivity reduction in the incubation experiments and to calculate CO2 evolution during incubation. In addition, we determined the optimum concentration for the NaOH solution in series of preliminary experiments, so that the concentration was not too high to become insensitive, but also not too low so that not all NaOH reacts during incubation. We then calculated MR (mg CO2-C kg dry soil-1 h-1) as total amount of CO2 released over the 5 weeks divided by the duration of the entire incubation in hrs.
Soil microbial biomass carbon (MBC; mg C kg soil-1 ) was measured at the beginning of the experiment by measuring the maximal respiratory response to the addition of glucose solution (4 mg glucose per g soil dry weight dissolved in distilled water; substrate-induced respiration method) on approximately 5.5 g of soil (J. P. E. Anderson & Domsch, 1978; Nico Eisenhauer et al., 2018; Scheu, 1992). For this purpose we used an O2-micro-compensation apparatus (Scheu, 1992). More specifically, substrate-induced respiration was calculated from the respiratory response to D-glucose for 10 hr at 20°C. Glucose was added according to preliminary studies to saturate the catabolic enzymes of microorganisms (4 mg g soil-1 dissolved in 400 ml deionized water). The mean of the lowest three readings within the first 10 hrs (between the initial peak caused by disturbing the soil and the peak caused by microbial growth) was taken as maximum initial respiratory response (MIRR; ml O2 kg soil-1 h-1) and microbial biomass (mg C kg soil-1) was calculated as 38 x MIRR (Beck et al., 1997; Cesarz et al., 2022; Thakur et al., 2015).
The rest of the composited sample was dried at 65°C for 48 h, ground and sieved (2 mm mesh) to assess the soil pH, mineral soil total C and N and C:N ratio, and mineral soil organic C (Risch et al., 2019). The undisturbed sample was used to assess water holding capacity (WHC), bulk density (BD), and soil texture [sand, silt, clay; methods in (Risch et al., 2019)]. We used the percentage of sand and clay as an indicator of soil texture in this study. MAT (°C), MAP (mm) and temperature of the wettest quarter (°C) were obtained from www.worldclim.com (Fick & Hijmans, 2017; Hijmans, Cameron, Parra, Jones, & Jarvis, 2005). These variables were selected as they were found to be drivers of soil nutrient processes across these sites in earlier studies (Risch et al., 2020; Risch et al., 2019). Mean annual soil temperatures (MAST; °C) for the 0 to 5 cm soil layer were obtained for each site from the SoilTemp maps (J. Lembrechts et al., 2021; J. J. Lembrechts et al., 2022), global gridded modelled products of soil bioclimatic variables for the 1979-2013 period at a 1-km² resolution, based on CHELSA, ERA5 and in-situ soil temperature measurements.
Numerical calculations and statistical analyses
We calculated MMQ as MR/MBC. We corrected this measure using the average soil temperature of each site (MMQsoil). This temperature correction is necessary as incubation temperatures are usually much higher than site mean annual soil temperatures (see Xu et al. 2017). MMQsoil = MMQ x Q10(MAST – 20)/10, where Q10 was assumed to be 2 (Xu et al. 2017). See Supplementary Fig S2 for comparison of air and soil temperatures across the 23 sites as well as the incubation temperature.
Some of the explanatory variables (clay, soil organic C, C:N ratio) were skewed and were thus log-transformed prior to analyses. All continuous explanatory variables were centred and scaled to have a mean of zero and variance of one. To avoid collinearity between them we filtered them using correlation analysis (Supplementary Fig S3). From the variables that were strongly correlated (Pearson’s |r| > 0.70) (Dormann et al., 2013), we selected the ones that allowed us to minimize the number of variables (Supplementary Fig S3). Specifically, soil total N concentration, soil total C concentration, soil sand content and soil bulk density were dropped from the dataset. We then assessed how these edaphoclimatic variables are related to MMQ across our global grasslands.
For this, we used linear mixed effects models (LMMs) fitted by maximum likelihood with the lme function in the nlme package (version 3.1-153) (Pinheiro, Bates, DebRoy, & Sarkar, 2021) in R version 3.6.3. (R Core Team, 2019). We used treatment as a fixed effect and plot nested in site as random effects to assess treatment differences in MMQsoil, as well as MR, and MBC. The number of years since the treatment started was included as a fixed effect in all the initial models but was not significant and therefore not retained in the models. To assess how differences in MMQsoil were affected by environmental factors (soil, climatic properties) we again used LMMs. Soil and climatic properties were included as fixed effects and plot nested in site as random effects. We did not include interactions between environmental variables. We then used the MuMin package (Barton, 2018) (version 1.42.1) to select the best models that explained the most variation based on Akaike’s information criterion (AIC; model.avg function). We used the corrected AIC (AICc) to account for our small sample size and selected the top models that fell within 4 AICc units (delta AICc < 4) (Burnham & Anderson, 2002; Johnson & Omland, 2004). We present all our top models rather than model averages. Conditional averages are provided in the Supplementary material.
Based on findings from analyses described above and the literature, we developed a conceptual model of direct and indirect relationships between both edaphoclimatic variables and experimental treatments (Supplement Figure S4) to obtain a more holistic approach in understanding how these properties affect MMQsoil. We had data from 23 sites with 272 observations. We tested this model using structural equation modelling based on a d-sep approach (Lefcheck, 2016; Shipley, 2009). We considered those environmental drivers that were included in our top LMMs, namely temperature of the wettest quarter (T.q.wet), soil pH, water holding capacity (WHC) and soil organic C (organic C; Supplementary Figure S4). These factors were allowed to directly affect MMQsoil, and via their interactions with treatments. In addition, treatments were allowed to directly affect MMQsoil. Treatments were included as dummy variables in the model. We tested our conceptual model (Supplementary Fig S4) using the piecewiseSEM package (version 2.0.2; Lefcheck, 2016) in R 3.4.0, in which a structured set of linear models are fitted individually. This approach allowed us to account for the nested experimental design, and overcome some of the limitations of standard structural equation models, such as small sample sizes (Lefcheck, 2016; Shipley, 2009). We used the lme function of the nlme package to model response variables, including site as a random factor. Good fit of the SEM was assumed when Fisher’s C values were non-significant (p > 0.05). For all significant interactions between soil or climate variables and treatments detected in the SEMs, we calculated treatment effect sizes, i.e., the differences in MMQsoil between Control and treatments as log response ratios (LRR) and plotted these values against the climate or soil factors. The LRR were defined as log(Control/Treatment), where treatment was either Fence, NPK or NPK+Fence. To assess which of the LRR-climate or soil property relationships were significant we again used LMMs, in which soil and climatic properties were included as fixed effects and plot nested in site as random effects.

en:
This dataset contains all data on which the following publication below is based.

Paper Citation:

Risch Anita C., Zimmermann, Stefan, Schütz, Martin, Borer, Elizabeth T., Broadbent, Arthur A.D., Caldeira, Maria C., Davies, Kendi F., Eisenhauer, Nico, Eskelinen, Anu, Fay, Philip A., Hagedorn, Frank, Knops, Johannes M.H., Lembrechts, Jonas, J., MacDougall, Andrew S., McCulley, Rebecca L., Melbourne, Brett A., Moore, Joslin L., Power, Sally A., Seabloom, Eric W., Silveira, Maria L., Virtanen, Risto, Yahdjian, Laura, Ochoa-Hueso, Raul (accepted). Drivers of the microbial metabolic quotient across global grasslands. Global Ecology and Biogeography

Please cite this paper together with the citation for the datafile.

The microbial metabolic quotient (MMQ; mg CO2-C mg MBC-1 h-1), defined as the amount of microbial CO2 respired (MR; mg CO2-C kg soil-1 h-1) per unit of microbial biomass C (MBC; mg C kg soil-1), is a key parameter for understanding the microbial regulation of the carbon (C) cycle, including soil C sequestration. Here, we experimentally tested hypotheses about the individual and interactive effects of multiple nutrient addition (NPK+micronutrients) and herbivore exclusion on MR, MBC, and MMQ across 23 sites (5 continents). Our sites encompassed a wide range of edaphoclimatic conditions, thus we assessed which edaphoclimatic variables affected MMQ the most and how they interacted with our treatments. Soils were collected in plots with established experimental treatments. MR was assessed in a five-week laboratory incubation without glucose addition, MBC via substrate-induced respiration. MMQ was calculated as MR/MBC and corrected for soil temperatures (MMQsoil). Using LMMs and SEMs, we analysed how edaphoclimatic characteristics and treatments interactively affected MMQsoil. MMQsoil was higher in locations with higher mean annual temperature, lower water holding capacity, and soil organic C concentration, but did not respond to our treatments across sites as neither MR nor MBC changed. We attributed this relative homeostasis to our treatments to the modulating influence of edaphoclimatic variables. For example, herbivore exclusion, regardless of fertilization, led to greater MMQsoil only at sites with lower soil organic C (<1.7%). Our results pinpoint the main variables related to MMQsoil across grasslands and emphasize the importance of the local edaphoclimatic conditions in controlling the response of the C cycle to anthropogenic stressors. By testing hypotheses about MMQsoil across global edaphoclimatic gradients, this work also helps to align the conflicting results of prior studies.

anthropogenic-management

display_name: anthropogenic-management

climate

display_name: climate

herbivore-exclusion

display_name: herbivore-exclusion

microbial-biomass-carbon

display_name: microbial-biomass-carbon

microbial-respiration

display_name: microbial-respiration

nutrient-addition

display_name: nutrient-addition

soil-properties

display_name: soil-properties


en: chilling budburst spongy-month phenology hatch

en: Phenology and performance/preference tests Data

en:
-"Synchronex_Cuttings_Pheno.txt" provides the budburst date ('Stage 2') of each twig of the six studies species in the four different temperature treatments ("ambient", "a+5"=Ambient +5°C, 'Greenhouse-5'= Greenhouse at temperature >5°C, 'Greenhouse_10' = Greenhouse at temperature >10°C); 'Success' give the percentage of buds within the twig that succeeded to reach at least stage 2 during the experiment.

'Synchronex-Gypsy.txt' provides the number of eggs that have hatched at each monitoring date (Day of the year in columns); "DOY_hatch_1" corresponds to the first DOY when at least one egg has hatched; "Replicate_egg_mass" correspond to the egg mass replicate (1 to 5)

'PerformanceTest_GypsyMoth.txt' provides the biomass in mg of the caterpillars fed with fresh leaves of each tested tree species during one week. "Fresh_alive" is the biomass of only the living caterpillars after 1 week and "Freshpermoth" corresponds the weight per living caterpillar (Fresh alive/Nalive)

'PreferenceTest_All_species.txt' provides the total surface of leaf disc of each tested tree species remaining after exposing 5 caterpillars to these leaves during 24H. "Total_area" is the surface of the disc of each species measured after 24h exposed to the spongy moth first instars. For each species 'control' means the surface of the disc after 24H without any exposure to the larvae. 'EatenPercent correspond to the percentage surface loss compared to the control.

en: 3 R-Scripts used for the analyses of the temperature, phenology and performance/preference tests

en: Temperature data Spongy moth experiment

en:
4 files with hourly temperature recorded at the height of buds in each of the four temperature treatments:
- Winter6: greenhouse where temperature was kept >6°C over winter
- Winter10: greenhouse where temperature was kept >10°C over winter
- OTC_Ambient: Open Top Chamber at Ambient temperature
- OTC_Warm: Open Top Chamber at +3.5°C warmer temperature

en:
The files correspond to the data and R-script used for the analyses of the following paper "Feasting on the ordinary or starving for the exceptional: phenological synchrony between spongy moth and budburst of European trees in a warmer climate" published in Ecology and Evolution by Vitasse et al. 2023.
There are three zip files corresponding to the Temperature data, phenology/preference/performance tests and R-Scripts for the analyses.

Input data:
'Synchrony_Cuttings_Pheno.txt':

budburst

display_name: budburst

chilling

display_name: chilling

hatch

display_name: hatch

phenology

display_name: phenology

spongy-month

display_name: spongy-month

en: Synchrony between spongy moth hatching and leaf phenology of temperate trees


maintainer: Matthias Haeni

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

en: Site aerial photo (Nationalpark)

en: Site aerial photo from both Nationalpark stations. Source: Google. 2016. Site aerial photo from both Nationalpark stations. Retrieved November 11, 2016, from https://www.google.ch/maps

mimetype: image/jpeg

en: Site photo of the forest station (NAB)

en: Site photo of the forest station from the side.

en: Site photo of the field station (NAF)

en: Site photo of the field station form the side.

en: Data plot of the field station (NAF)

en: Data overview for air temperature, relative humidity, precipitation, PAR, wind speed.

en: Forest station data (NAB)

en: Data file.

mimetype: text/csv

en: Field station data (NAF)

en: Data plot of the forest station (NAB)

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

climate-change

display_name: climate-change

long-term

display_name: long-term

meteo

display_name: meteo

meteorology

display_name: meteorology

par

display_name: par

precipitation

display_name: precipitation

relative-humidity

display_name: relative-humidity

swiss-forest-lab

display_name: swiss-forest-lab

temperature

display_name: temperature

wind-speed

display_name: wind-speed

educ

en: Education, culture and sport

envidat

en: EnviDat: the Environmental Data Portal

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


maintainer: Maria Elvira Murazzi

en: uptake forest-trees polystyrene 13c-labelling nanoplastic

en: Nanoplastic in forests experiment

en:
Data embargoed until August 2022, and it will be provided upon request

-  excel file containing: two working sheets (leaf supply and root supply experiment) with a table with the values 13C-nanopolystyrene in the different tissues of the two forest tree species; graph showing the differences between controls and treatments of 13C-nanopolystyrene enrichment for each tissue of each forest tree species; ANOVA table showing significant values after having exposed the tree species to 13C-nanopolystyrene

en:
The fate of plastic in the environment is of global concern, because its production recently has
increased strongly and it accumulates in terrestrial and aquatic ecosystems. Although some knowledge on
its role in aquatic and terrestrial ecosystems was gained in the recent decade, hitherto very little is known
about the impact of micro and nanoplastics in forest ecosystems.

The aim of this pioneering project was to explore if nanoplastics are taken up by forest trees species
through leaves or roots. In greenhouse experiments, we exposed leaves or roots of seedling of two forest
trees species to solutions with highly 13C-labelled polystyrene nanoparticles (13C-nPS, 99 atom%) and
examined if they were incorporated in different above- and belowground tissues.

Treated part of the trees for both species showed significant 13C-enrichment, indicating that trees take up nanoparticles. However, the overall 13C signal strength in tissues that were not exposed to the 13C label remained low (Δδ13C<1‰) and was confined to a few seedlings, leaving it ambiguous whether nanoplastic transport occurs or not.

We acknowledge that the new method developed might be not sensitive enough to unequivocally detect
mechanisms of nanoplastic uptake and transport at environmentally realistic concentrations.

forest-trees

display_name: forest-trees

nanoplastic

display_name: nanoplastic

polystyrene

display_name: polystyrene

uptake

display_name: uptake

en: Nanoplastics in forests: Exploring the effects of nanoplastics on forest soils and tree physiology (NanoPlast)


maintainer: Martin Schneebeli

en: depth-hoar rounded-snow new-snow 3d-model weak-layer snow-cast snow 3d-print

en: Snow models in STL-format

en: The zipped file contains all data described in the file 3d_snow_models_metadata. The stl-files should be ready for additive manufacturing.

en: Description of snowtypes, filenames and other metadata

en: This file contains information about the stl-files of the different snow models. Snowtype (Schneeart), International Snow Classification, preview picture, notes about the origin of the snow, filename of the stl-data, and physical size of the model are given.

en: The dataset contains several snow models in the Standard Tesselated Geometry File Format (stl) for 3D visualization, printing and additive manufacturing. Different snow types are available (new snow, rounded snow, depth hoar, buried surface hoar, graupel).

depth-hoar

display_name: depth-hoar

new-snow

display_name: new-snow

rounded-snow

display_name: rounded-snow

snow

display_name: snow

snow-cast

display_name: snow-cast

weak-layer

display_name: weak-layer