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Bitte überprüfen Sie die von Ihnen eingegebenen Informationen. Wenn Sie weiterhin Probleme haben, wenden Sie sich bitte an den Support."},"actions":{"edit":"Kollektion bearbeiten","editSites":"Standortkollektionen verwalten","editVisibility":"Sichtbarkeit bearbeiten","share":{"text":"Schauen Sie sich eine Kollektion an, die ich auf Restor gefunden habe: {{collectionName}}","embed":{"description":"Zum Einbetten einer Kollektion kopieren Sie den unten gezeigten Code und fügen ihn in Ihre eigene Webseite ein. So können Sie die Restor-Kollektion auf Ihrer eigenen Webseite anzeigen. Erfahren Sie mehr.","label":"Code einbetten"}}}},"countries":{"seoOverviewTitle":"Länder","seoOverviewDescription":"","actions":{"share":{"text":""}}},"data-viz":{"maxLabel":"Max","meanLabel":"Mittelwert","minLabel":"Min","accuracy":{"missingSites":"{{count}} Standorte mit fehlenden Daten.","why":"Warum ist das der Fall?","explainer":""},"spatialResolution":{"label":"Räumliche Auflösung","type":{"low":"Niedrig","medium":"Mittel","higher":"Höher"},"adequacy":{"roughApproximation":"Vorsicht geboten: Die Größe dieses Standorts ({{ siteSurfaceAreaSqM }} ㎡) ist klein im Verhältnis zur räumlichen Auflösung dieses Datensatzes ({{ spatialResolution }} m). Die bereitgestellten Ergebnisse sollten nur als grobe Annäherung betrachtet werden.","approximation":"Die Größe dieses Standorts ist etwas klein ({{ siteSurfaceAreaSqM }} ㎡) im Verhältnis zur räumlichen Auflösung dieses Datensatzes ({{ spatialResolution }} m). Die bereitgestellten Ergebnisse sollten als Annäherungswerte betrachtet werden.","adequate":"Die Größe dieses Standorts ({{ siteSurfaceAreaSqM }} ㎡) ist im Verhältnis zur räumlichen Auflösung dieses Datensatzes ({{ spatialResolution }} m) groß genug. Die relative Größe des Standorts ist für die räumliche Analyse mit diesem Datensatz ausreichend."},"modal":{"title":"Räumliche Auflösung","content":{"paragraph1":"Bei der Interpretation der bereitgestellten Berechnungsergebnisse ist es wichtig, die Einschränkungen der zugrunde liegenden Daten zu verstehen. Die Genauigkeit der Schätzungen für jeden Datensatz hängt (teilweise) sowohl von der Grösse des für die Analyse bereitgestellten Polygons als auch von der räumlichen Auflösung (d. h. der Grösse jedes Pixels) der zugrunde liegenden wissenschaftlichen Karte ab, von der sie abgeleitet sind.","paragraph2":"Wir haben Datensätze nach ihrer räumlichen Auflösung kategorisiert, in niedrige, mittlere und höhere Kategorien.","termLow":"Räumliche Auflösung: niedrig","definitionLow":"Die Pixelgröße der zugrunde liegenden Daten beträgt 1 km2 oder mehr.","termHigh":"Räumliche Auflösung: hoch","definitionHigh":"Die Pixelgröße der zugrunde liegenden Daten ist zwischen 100 m2 und 1 km2 kleiner.","termHigher":"Räumliche Auflösung: höher","definitionHigher":"Die Pixelgröße der zugrunde liegenden Daten beträgt 100 m2 oder weniger.","paragraph3":"Die Pixelgröße entspricht der kleinsten Flächeneinheit auf dem Boden, für die die Daten entweder gesammelt oder vom Modell vorhergesagt wurden. Wenn also beispielsweise für eine Baumbedeckungsdatenebene die Pixelgröße 30 m beträgt, bedeutet dies, dass das Modell die Baumbedeckung für die Flächeneinheit vorhersagt, die 30 x 30 m auf dem Boden entspricht.","heading1":"So interpretieren Sie die Ergebnisse von Berechnungen","listItem1":"Wenn Ihr Standort kleiner als ein Pixel der Karte ist, die zum Generieren der Daten verwendet wird, sollten Sie bei der Interpretation mit erhöhter Vorsicht vorgehen.","listItem2":"Wenn die Grösse Ihres Standorts zwischen einem und vier Pixel der Karte beträgt, die zum Generieren der Daten verwendet wird, sollten Sie bei der Interpretation vorsichtig sein.","listItem3":"Wenn die Grösse Ihres Standorts über vier Pixel der Karte beträgt, die zum Generieren der Daten verwendet wird. Es sollte für räumliche Analysen mit diesem Datensatz geeignet sein.","paragraph4":"Obwohl wir bestrebt sind, Daten aus der Karte mit der höchsten verfügbaren Auflösung für jede wissenschaftliche Information einzubeziehen, sind einige Karten aufgrund verschiedener Einschränkungen von Natur aus relativ grob – zum Beispiel die Sensorgrösse auf dem Satelliten, der zum Sammeln der Rohinformationen verwendet wird, oder inhärente Einschränkungen bezogen auf die gemessene Metrik (z. B. ist es theoretisch nicht möglich, die Biodiversität von Säugetieren auf der Ebene eines Quadratmeters zu bestimmen).","paragraph5":"Schliesslich ist es wichtig zu beachten, dass sich alle angegebenen Genauigkeitsmasse nur auf die räumliche Skala der für die Analyse verwendeten Daten beziehen. Jede Schätzung könnte aus einer Reihe anderer Gründe immer noch mit Unsicherheiten behaftet sein – zum Beispiel, weil das zugrunde liegende wissenschaftliche Modell, das verwendet wird, um die endgültigen Zahlen zu generieren, in bestimmten Lebensraumtypen oder Regionen unterdurchschnittlich abschneidet."}}},"SEED":{"title":"SEED-Biokomplexitätsindex ","description":"Weltweit standardisierte Messgrösse für Biodiversität, die sowohl eine multidimensionale Perspektive als auch einen einzelnen Naturzustandsindex bietet.","notAvailable":"","modal":{"description":"SEED ist das weltweit umfassendste, integrativste und global standardisierteste Biodiversitätsüberwachungsrahmenwerk. Die Methodik von SEED ist einzigartig in ihrer Fähigkeit, über 100 Massnahmen zur Biodiversität zu integrieren, um eine ganzheitliche Messung der Biokomplexität als einzelne Zahl zu bieten, die Veränderungen im Laufe der Zeit in Bezug auf minimal modifizierte Referenzgebiete in derselben Ökoregion berücksichtigen kann. Konkret misst SEED den Zustand der Natur auf drei allgemeinen Ebenen – genetisch, artenbezogen und ökosystembezogen – um die Komplexität des Lebens im Vergleich zu seinem natürlichen Zustand zu bewerten. Die spezifischen Komponenten des dargestellten Diagramms sind unten aufgeführt:","subTitle":"Genetische Vielfalt ","faq":{"title":"FAQ","question1":"Wie ist der SEED-Biokomplexitätsindex definiert?","answer1_1":"SEED ist ein weltweit standardisierter (0 bis 1) Masstab für Biokomplexität an jedem terrestrischen Ort auf dem Planeten. Es vereint verschiedene Dimensionen der Biodiversität in einer einzigen Kennzahl und stellt den aktuellen Zustand der Biodiversität in einem Interessensgebiet im Vergleich zu seinem minimal gestörten, natürlichen Zustand dar, der durch das Referenzgebiet definiert wird. Dazu verwendet SEED einen multivariaten Distanz-basierten Kernel-Schätzer, um die Ähnlichkeit des Interessensgebiets mit dem Referenzgebiet zu messen.","answer1_2":"SEED ist darauf ausgelegt, Variation auf drei hierarchischen Ebenen zu beschreiben: Genetik (d.h. innerhalb der Arten), (zwischen) Arten und über Ökosysteme hinweg. SEED integriert mehrere Kartenebenen (insgesamt 84 im Juli 2024) für jede Variationsebene, um eine umfassende Bewertung zu ermöglichen. Alle Datenebenen sind global, und sofern verfügbar, zeigen sie zeitliche Veränderungen. Die räumliche und zeitliche Auflösung der Datensätze sowie die ursprüngliche Methodik werden weiterhin weiterentwickelt. Alle von SEED verwendeten Kartenebenen basieren auf Satellitenbildern und geografisch zugeordneten Daten. Einige der Karten werden auf der Basis der beobachteten Beziehungen zwischen geografisch zugeordneten Datensätzen und Informationen aus Satellitenbildern modelliert; andere stammen direkter aus Satellitenbildern (spektrale Merkmale zeigen physikalische Eigenschaften am Boden) und wurden gegen geografisch zugeordnete Daten validiert.","question2":"Wie wird das Referenzgebiet berechnet?","answer2":"Die 'Referenzgebiete‘ von SEED repräsentieren den natürlichen Zustand jedes Ökosystems. Sie werden als die am wenigsten (durch Menschen) veränderten Bereiche innerhalb jeder Ökoregion (insgesamt 846) für jede Landbedeckungsklasse (z.B. Wald, Savanne, Strauchland, Grasland, Feuchtgebiet usw.) berechnet und ergeben weltweit über viertausend Kombinationen aus Ökoregion und Landnutzungsklasse, die als Definition natürlicher Ökosysteme dienen. Das bedeutet, dass innerhalb jeder Ökoregion Wälder mit anderen Wäldern, Grasländer mit anderen Grasländern und so weiter verglichen werden.","question3":"Enthält SEED eine Zeitreihe der Biokomplexität?","answer3":"","question4":"","answer4":"Wir können auf jeden 1-km-Rasterpunkt auf der Erde heranzoomen und eine SEED-Bewertung erhalten.","question5":"Ist die Biokomplexität über verschiedene Ökoregionen hinweg vergleichbar?","answer5_1":"Ja. Der SEED-Index misst den Grad der Ähnlichkeit zwischen dem Interessensgebiet und dem Referenzgebiet. Er ist ein relativer Wert und daher über ökologische, geographische und administrative Grenzen hinweg vergleichbar. Aus diesem Grund kann der SEED-Index auch über Grenzen hinweg aggregiert werden, um beispielsweise die durchschnittliche Biokomplexität einer Region zu berechnen, selbst wenn diese aus vielen unterschiedlichen Ökosystemen besteht.","answer5_2":"Obwohl der SEED-Index selbst grenzüberschreitend vergleichbar und aggregierbar ist, sind die erforderlichen Massnahmen zur Verbesserung oder Änderung der Bewertung vollständig kontextspezifisch. Beispielsweise kann eine Bewertung von 0,5 für zwei Eigenschaften aus unterschiedlichen Kombinationen von genetischen, artenbezogenen und ökosystembezogenen Werten resultieren. Die Art der Intervention und der erforderliche Aufwand hängen von den ökologischen Dimensionen ab, die verbessert werden müssen."}},"GENETIC":{"title":"Genetische Vielfalt ","description":"Variation innerhalb von Arten in der genetischen Zusammensetzung, die die Anpassungsfähigkeit und Fitness der Arten beeinflusst.","items":{"PLANTS":{"name":"Pflanzen","description":"Genetische Vielfalt von Moosen, Farnen, Gräsern, krautigen Pflanzen und Holzpflanzen."},"MICROBES":{"name":"Mikroorganismen ","description":"Genetische Vielfalt von Mikroorganismen; definiert als einschliesslich Pilzen, Protisten, Bakterien und Archaeen."},"ANIMALS":{"name":"Tiere ","description":"Genetische Vielfalt von terrestrischen Wirbeltieren (Säugetiere, Vögel und Reptilien) sowie wirbellosen Tieren (Insekten und Spinnen)."}}},"SPECIES":{"title":"Artenvielfalt ","description":"Die Diversität innerhalb von Arten wird gemessen durch die Anzahl der Arten in einem Gebiet (Reichtum), die relativen Häufigkeiten und die Gemeinschaftszusammensetzung (Vielfalt), die phylogenetische Divergenz sowie die Veränderung dieser Masszahlen über die Landschaft.","items":{"PLANTS":{"name":"Pflanzen","description":"Artenreichtum und -vielfalt von Moosen, Farnen, Gräsern, krautigen Pflanzen und Holzpflanzen."},"MICROBES":{"name":"Mikroorganismen ","description":"Artenreichtum und -vielfalt von Mirkroorganismen; definiert als einschliesslich Pilzen, Protisten, Bakterien und Archaeen."},"ANIMALS":{"name":"Tiere ","description":"Artenreichtum und -vielfalt von terrestrischen Wirbeltieren (Säugetiere, Vögel und Reptilien) sowie wirbellosen Tieren (Insekten und Spinnen)."}}},"ECOSYSTEM":{"title":"Ökosystemvielfalt ","description":"Kennzeichnet die emergenten Eigenschaften des Systems, die aus der Vielzahl von Interaktionen innerhalb und zwischen Arten sowie mit ihrer Umwelt resultieren.","items":{"STRUCTURE":{"name":"Struktur","description":"Die Struktur, die durch die lebenden Komponenten des Ökosystems gebildet wird, z.B. 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Eine wesentliche Änderung dieses Wertes ist nach zukünftigen Aktualisierungen wahrscheinlich."}},"aggregationStatus":{"CALCULATION_IN_PROGRESS":{"title":"","text":""}},"interventionPeriod":""},"enums-countries":{"AD":"Andorra","AE":"Vereinigte Arabische Emirate","AF":"Afghanistan","AG":"Antigua und Barbuda","AI":"Anguilla","AL":"Albanien","AM":"Armenien","AO":"Angola","AQ":"Antarktis","AR":"Argentinien","AS":"Amerikanisch-Samoa","AT":"Österreich","AU":"Australien","AW":"Aruba","AX":"Åland-Inseln","AZ":"Aserbaidschan","BA":"Bosnien-Herzegowina","BB":"Barbados","BD":"Bangladesch","BE":"Belgien","BF":"Burkina Faso","BG":"Bulgarien","BH":"Bahrain","BI":"Burundi","BJ":"Benin","BL":"St. Barthélemy","BM":"Bermuda","BN":"Brunei Darussalam","BO":"Bolivien","BQ":"Bonaire, Sint Eustatius und Saba","BR":"Brasilien","BS":"Bahamas","BT":"Bhutan","BV":"Bouvetinsel","BW":"Botswana","BY":"Weißrussland","BZ":"Belize","CA":"Kanada","CC":"Cocos-Inseln","CD":"Demokratische Republik 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Bitte versuchen Sie es später noch einmal."}},"userHasNoCollections":{"description":"Sie haben noch keine Kollektionen.","linkLabel":"Erstellen Sie Ihre erste Kollektion","notLoggedIn":"Bevor Sie diesen Standort in Ihre Kollektionen speichern können, müssen Sie sich entweder anmelden oder ein Konto erstellen.","login":"Bei Ihrem Konto anmelden","join":"Restor beitreten"}},"actions":{"title":"Handlungen","addDonateLink":"Spendenlink hinzufügen","complete":"Vollständiges Standortprofil","addDescription":"Beschreibung hinzufügen","edit":"Standort bearbeiten","editVisibility":"Standort auf öffentlich stellen","photos":{"add":"Fotos hinzufügen","edit":"Fotos bearbeiten"},"members":{"linkLabel":"Mitglieder hinzufügen"},"organizations":{"linkLabel":"Zur Organisation verlinken"},"leave":"Standort verlassen","delete":{"label":"Standort löschen","text":"Warnung: Das Löschen dieses Standortes bedeutet, dass alle Verbindungen mit Organisationen, Benutzern und Kollektionen dauerhaft entfernt werden.","confirmDialog":{"text":"Sind Sie sicher, dass Sie diesen Standort löschen möchten? Alle Verbindungen mit Organisationen, Benutzern und Kollektionen werden dauerhaft entfernt."},"feedback":{"success":"Der Standort wurde gelöscht."}},"share":{"text":"Schauen Sie sich einen {{siteType}}-Standort an, den ich auf Restor gefunden habe: {{siteName}}","embed":{"description1":"Zum Einbetten eines Standortes kopieren Sie den unten gezeigten Code und fügen ihn in Ihre eigene Webseite ein. So können Sie den Restor-Standort auf Ihrer eigenen Webseite anzeigen. Erfahren Sie mehr.","description2":"Stellen Sie sicher, dass Ihr Standort auf öffentlich eingestellt ist. Ein privater Standort kann nicht eingebettet werden.","label":"Code einbetten"}},"tcd":{"buttonLabel":"Baumkronenabgrenzung"}}}},"en":{"page-home":{"seoTitle":"Global hub for nature restoration and conservation","seoDescription":"Become a nature restoration champion with Restor. Showcase and monitor your projects, find funding and connect with the community. 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Collection of nature restoration and conservation sites on Restor.","newCollection":{"title":"Let's create your collection","submitButton":"Create collection"},"collectionDetails":{"info":{"title":"Collections help you organize your sites","description":"For example: You can group the same type of sites or present a large number of sites from a specific region as one."},"fields":{"name":{"label":"Name"},"description":{"label":"Description","placeholder":"What best describes the sites that are in this collection?"}}},"collectionExtra":{"fields":{"visibility":{"label":"Set visibility"},"coverPhoto":{"label":"If you're creating a public collection we recommend adding a cover photo.","title":"Add your cover photo here"}}},"collectionsList":{"collectionsCount_one":"{{count}} collection","collectionsCount_other":"{{count}} collections"},"feedback":{"new":{"success":"Your collection has been created"},"edit":{"success":"Your collection has been updated"},"error":"Something went wrong. 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The accuracy of estimates for each dataset are (partially) dependent on both the size of the polygon provided for analysis, and the spatial resolution (i.e. size of each pixel) of the underlying scientific map they are derived from.","paragraph2":"We categorized datasets by their spatial resolution into low, medium and higher categories.","termLow":"Spatial resolution: low","definitionLow":"The pixel size of underlying data is 1km2 or larger.","termHigh":"Spatial resolution: high","definitionHigh":"The pixel size of underlying data is between 100m2 and 1km2 smaller.","termHigher":"Spatial resolution: higher","definitionHigher":"The pixel size of underlying data is 100m2 or smaller.","paragraph3":"Pixel size corresponds to the smallest area unit on the ground for which the data was either collected or predicted by the model. 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It should be adequate for spatial analysis using this dataset.","paragraph4":"While we strive to include data from the highest resolution map available for each piece of scientific information, some maps will inherently be relatively coarse due to various limitations – for example, the sensor size on the satellite used to collect the raw information, or inherent constraints related to the metric measured (for instance, it is not theoretically possible to determine mammal biodiversity at the level of a square meter).","paragraph5":"Finally it is important to note that all accuracy measures provided relate only to the spatial scale of data used for the analysis. 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This means that within each ecoregion, forests are compared with other forests, grasslands with other grasslands, and so on.","question3":"Does SEED include a time series of biocomplexity?","answer3":"The beta 0.1 version of SEED is not temporal with datasets that are in average for 2010. It’s an aggregate of maps that were based on the last 10-15 years. This is how SEED represents the current state of biodiversity. Future versions of the product will be modeled based on satellite (ie. Sentinel) data.","question4":"How granular is the Beta 0.1 version of SEED?","answer4":"We can zoom in for any 1km raster continental point on Earth and get a SEED score.","question5":"Is biocomplexity comparable across different ecoregions?","answer5_1":"Yes. As the SEED index measures the degree of similarity between the area of interest and the reference area. It is a relative value and is therefore comparable across ecological, geographic, and administrative boundaries. 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