Ziel dieses Projektes ist es, den nutzbaren Altersbereich für OSL-Datierungen von 200-400 ka in Richtung 1 Ma auszuweiten. Diese Ausweitung würde die zeitliche Lücke in unserem Vermögen klastische Sedimente zu datieren, zwischen Radiokohlenstoffdatierung (bis ca. 40 ka) und Bedeckungsalterdatierung (größer als 500 ka), schliessen helfen.
Das Projekt zielt darauf ab, die komplexen sozio-ökologischen Transformationsprozesse aus supra-regionaler und kulturübergreifender Perspektive zu entflechten und insbesondere die Rolle abrupten Klimawandels und sozio-ökologischer Krisen, die vergangene Transformationsprozesse beeinflussen, zu analysieren. Im Fokus ist dabei zunächst das sog. 4.2 ka-Event und dessen Auswirkungen im westmediterranen Raum. Zur Anwendung kommen dabei a) geologische Analysen zu quantifizierbaren Proxies an marinen Klimaarchiven, um hydroklimatischen Wandel, z. B. Niederschlag (Analysen zu dD von n-Alkanen aus Pflanzenwachsen), saisonale Veränderungen der Seeoberflächentemperatur (SST) (Uk37', planktonische Foraminiferen/ d18O) und Wandel der Hydrographie zu rekonstruieren und b) die Analyse archäologischer und paläo-ökologischer Daten.
Wir wollen die Rolle von Hyperthermie im Massenaussterben an der Perm/Trias-Grenze, der größten biotischen Krise in der Erdgeschichte, verstehen. Trotz ihrer erheblichen Bedeutung für die Evolution des Lebens werden die auslösenden Mechanismen für diese Krise noch immer sehr kontrovers diskutiert. Dieses Massenaussterben ist das gravierendste vergangene Beispiel einer durch Klimaveränderungen, besonders durch globale Erwärmung, ausgelöste Krise. Sie kann daher als ein Analogon für die Reaktion der Biodiversität auf die zukünftige anthropogene Klimaänderung angesehen werden. Wir schlagen hier ein Forschungsprojekt vor, in welchem die Konsequenzen von Stress durch Erwärmung während des end-Permischen Massenaussterbens und der Erholung in der frühen Trias untersucht wird. Wir wählen die Ostracoden als Modell-Organismen für simultane Untersuchungen ihrer Evolutionsgeschichte und ihrer Reaktion auf Klimaveränderungen (besonders hinsichtlich der Erwärmung am Perm/Trias-Grenzintervall). Die zu untersuchenden Aufschlüsse liegen im Nordwest-Iran (Region von Julfa), Zentraliran (Region von Abadeh) und dem Zagros-Gebirge (Region von Esfahan); diese Regionen repräsentieren Tiefschelf- bis Flachwasser-Habitate. Unsere Studie wird die Untersuchung von Isotopengeochemie (Analysen von delta13C und delta18O) unter Anwendung der SIMS-Technologie von Ostracodenschalen beinhalten. Außerdem werden die Ostracoden-Vergesellschaftungen hinsichtlich ihrer taxonomischen Diversität, morphologischen Disparität, Grad des Endemismus, Veränderungen in der Größe der Individuen usw. untersucht.
This data set presents the reconstructed vegetation cover for 1451 European sites based on harmonized pollen data from the data set LegacyPollen 2.0 and optimized RPP values. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by taking into account taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were also calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. In this optimized reconstruction, relative pollen productivity estimates for the ten most common taxa were first optimized by using reconstructed tree cover from modern pollen samples and LANDSAT remotely sensed tree cover (Sexton et al. 2013) for Europe. Values for non-optimized taxa for relative pollen productivity and fall speed were taken from the synthesis from Wiezcorek and Herzschuh (2020). The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with optimized reconstructed vegetation cover for all records in Europe. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
This data set presents the reconstructed vegetation cover for 706 Asian sites based on harmonized pollen data from the data set LegacyPollen 2.0 and optimized RPP values. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by taking into account taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were also calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. In this optimized reconstruction, relative pollen productivity estimates for the ten most common taxa were first optimized by using reconstructed tree cover from modern pollen samples and LANDSAT remotely sensed tree cover (Sexton et al. 2013) for Asia. Values for non-optimized taxa for relative pollen productivity and fall speed were taken from the synthesis from Wiezcorek and Herzschuh (2020). The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with optimized reconstructed vegetation cover for records in Asia. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.
This data set presents the reconstructed vegetation cover for 2773 sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.965907). 1040 sites are located in North America, 1287 in Europe, and 446 in Asia. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a Gaussian plume model for deposition and dispersal. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were updated with recent studies used to reconstruct vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were unavailable. As REVEALS was conceived to reconstruct vegetation from large lakes, only records originating from large lakes (>= 50h) are marked as "valid as site" in the dataset. Reconstructions from other records can be used when spatially averaging several together. An example script to do so is provided on Zenodo (https://doi.org/10.5281/zenodo.12800290). Reconstructed tree cover was validated using modern Landsat remote sensing forest cover. Reconstructed tree cover has much lower errors than the original arboreal pollen percentages. Reconstructions of individual taxa are more uncertain. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details, we list a table with the taxon-specific parameters used, metadata for all records, and a list of parameters adjusted in the default version of REVEALSinR.
This data set presents the reconstructed vegetation cover for 446 Asian sites based on harmonized pollen data from the data set LegacyPollen 2.0. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a Gaussian plume model for deposition and dispersal. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were updated with recent studies used to reconstruct vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were unavailable. As REVEALS was conceived to reconstruct vegetation from large lakes, only records originating from large lakes (>= 50h) are marked as "valid as site" in the dataset. Reconstructions from other records can be used when spatially averaging several together. An example script to do so is provided on Zenodo (https://doi.org/10.5281/zenodo.12800290). Reconstructed tree cover was validated using modern Landsat remote sensing forest cover. Reconstructed tree cover has much lower errors than the original arboreal pollen percentages. Reconstructions of individual taxa are more uncertain. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details, we list a table with the taxon-specific parameters used, metadata for all records, and a list of parameters adjusted in the default version of REVEALSinR.
Die Moore im Bereich der Hornisgrinde (Nordschwarzwald) werden kartiert und oekoogisch relevante Parameter des Moorwassers werden gemessen. Anhand von Bohrkernen aus den Mooren werden durch Pollen, Grossreste und Geochemie die Entwicklung der Moore und ihrer Umgebung sowie die Einfluesse durch die Besiedelung der Region untersucht.
Die Kenntnis rezenter Lebensräume wird genutzt, um Modelle zur Rekonstruktion neogener und pleistozäner Habitate zu entwickeln. Es wird erwartet, dass die Nahrungsspezifität von Huftieren wichtige Hinweise liefert auf die Habitate der untersuchten Faunen. Evolutionstrends lassen sich dann mit Veränderungen im Habitat korrelieren.
| Origin | Count |
|---|---|
| Bund | 304 |
| Wissenschaft | 24 |
| Type | Count |
|---|---|
| Daten und Messstellen | 23 |
| Förderprogramm | 304 |
| unbekannt | 1 |
| License | Count |
|---|---|
| offen | 327 |
| unbekannt | 1 |
| Language | Count |
|---|---|
| Deutsch | 252 |
| Englisch | 139 |
| Resource type | Count |
|---|---|
| Archiv | 3 |
| Datei | 16 |
| Dokument | 4 |
| Keine | 213 |
| Webseite | 92 |
| Topic | Count |
|---|---|
| Boden | 269 |
| Lebewesen und Lebensräume | 270 |
| Luft | 203 |
| Mensch und Umwelt | 328 |
| Wasser | 193 |
| Weitere | 325 |