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Herkunftsgebiete im Land Brandenburg

Der Datensatz präsentiert die Gesamtheit der Herkunftsgebiete im Land Brandenburg. Ein Herkunftsgebiet ist ein Gebiet mit annähernd einheitlichen ökologischen Bedingungen, in denen sich Erntebestände oder Saatgutquellen einer bestimmten Art oder Unterart mit ähnlichen phänotypischen oder genetischen Merkmale befinden. Unterlayer ermöglichen die Unterscheidung nach der Baumart: Bergahorn, Douglasie, Esche, Esskastanie, Europäische Lärche, Fichte, Grauerle, Große Küstentanne, Hainbuche, Japanische Lärche, Kiefer, Moorbirke, Pappel, Robinie, Rotbuche, Roteiche, Roterle, Sandbirke, Schwarzkiefer 847-849, Sitkafichte, Sommerlinde, Spitzahorn, Stieleiche, Traubeneiche, Vogelkirsche, Weißtanne, Winterlinde Der Datensatz präsentiert die Gesamtheit der Herkunftsgebiete im Land Brandenburg. Ein Herkunftsgebiet ist ein Gebiet mit annähernd einheitlichen ökologischen Bedingungen, in denen sich Erntebestände oder Saatgutquellen einer bestimmten Art oder Unterart mit ähnlichen phänotypischen oder genetischen Merkmale befinden. Unterlayer ermöglichen die Unterscheidung nach der Baumart: Bergahorn, Douglasie, Esche, Esskastanie, Europäische Lärche, Fichte, Grauerle, Große Küstentanne, Hainbuche, Japanische Lärche, Kiefer, Moorbirke, Pappel, Robinie, Rotbuche, Roteiche, Roterle, Sandbirke, Schwarzkiefer 847-849, Sitkafichte, Sommerlinde, Spitzahorn, Stieleiche, Traubeneiche, Vogelkirsche, Weißtanne, Winterlinde

Erntezulassungsflächen im Land Brandenburg

Im Erntezulassungsregister (EZR) werden alle Bestände von zugelassenem Ausgangsmaterial und des davon erzeugten Vermehrungsgutes verwaltet. Der Layer stellt die Flächen des EZR räumlich dar. Unterlayer ermöglichen die Unterscheidung nach der Baumart: Bergahorn, Douglasie, Esche, Esskastanie, Europäische Lärche, Fichte, Große Küstentanne, Grauerle, Hainbuche, Japanische Lärche, Kiefer, Moorbirke, Pappel, Robinie, Rotbuche, Roteiche, Sandbirke, Schwarzerle, Schwarzkiefer, Sitkafichte, Sommerlinde, Spitzahorn, Stieleiche, Traubeneiche, Vogelkirsche, Weißtanne, Winterlinde Im Erntezulassungsregister (EZR) werden alle Bestände von zugelassenem Ausgangsmaterial und des davon erzeugten Vermehrungsgutes verwaltet. Der Layer stellt die Flächen des EZR räumlich dar. Unterlayer ermöglichen die Unterscheidung nach der Baumart: Bergahorn, Douglasie, Esche, Esskastanie, Europäische Lärche, Fichte, Große Küstentanne, Grauerle, Hainbuche, Japanische Lärche, Kiefer, Moorbirke, Pappel, Robinie, Rotbuche, Roteiche, Sandbirke, Schwarzerle, Schwarzkiefer, Sitkafichte, Sommerlinde, Spitzahorn, Stieleiche, Traubeneiche, Vogelkirsche, Weißtanne, Winterlinde

Tree inventory dataset of floodplain forest, Leipzig, Germany

Leipzig is the only major German city in which extensive hardwood floodplain forests have been preserved. At present, drying out and a lack of hydrodynamics pose the greatest challenges for the conservation of the floodplain landscape. Restoring typical floodplain hydrological conditions and habitats can sustainably safeguard biodiversity and numerous ecosystem services in the medium term. To this end, the Lebendige Luppe project aim to reactivate typical floodplain hydrodynamics with inundation over large areas, the restoration of old river courses and the conversion of intensively farmed areas into typical floodplain habitats. The Lebendige Luppe project, itself is a joint project of cities of Leipzig and Schkeuditz and the NABU Saxony as implementation partner and the University of Leipzig and the UFZ-Helmholtz Centre (Partner for accompanying natural and social science) (Scholz et al. 2022). The implemented and planned restoration measures are accompanied by long-term scientific monitoring (UFZ and Leipzig University). For this purpose, 60 permanent observation plots were set up in the area of the measures according to the BACI design (Before-After / Control-Impact), on which the diversity of selected indicator groups (vegetation, molluscs, ground beetles) as well as groundwater dynamics, water and material balance in the soil, carbon storage and forest growth are recorded (Scholz et al. 2022). By integrating further landscape ecology and nature conservation data, a comprehensive analysis of the status quo and the changes in site conditions, biodiversity and ecosystem functions of the floodplain resulting from the expected floodplain dynamisation is possible, which goes beyond what has been available to date. The resulting simulation of hardwood forest responses to the changing abiotic environmental variables are already the basis for assessing the impact of the planned measures in the implementation process. This data publication contains the tree inventory data of the scientific accompanying research of the winters 2013/2014 and 2016/2017 (first inventory) and a repeat inventory from the winter of 2020/21. The Leipzig riparian forest distributed on old hardwood riparian forest (main tree population older than 90 years) of the forestry office of the city of Leipzig and Sachsenforst as state forest (Scholz et al. 2022). All stands were identified as Riparian mixed forests of Quercus robur, Ulmus laevis and Ulmus minor, Fraxinus excelsior or Fraxinus angustifolia, along the great rivers (Ulmenion minoris) – Annex I habitat type (code 91F0).

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Nine years of monitoring ash dieback in the floodplain forest of Leipzig, Germany

As part of the Lebendige Luppe project, ash dieback disease was recorded on European ash trees (Fraxinus excelsior, trunks >5cm breast height diameter) on 60 plots (each 2500m²) in the late summers of 2016 to 2024. The trees were assessed according to Langer et al. (2015). However, an additional category 6 (dead tree) was introduced to distinguish between dead and dying trees. The selection of trees (according to their size) was based on 2 forest inventories (2016 and 2020) (Rieland et al. 2024, Scholz et al. 2022). As a result, new trees were added for recording in 2021. From 2020, the additional parameter Tree damage class, ash bark beetle was introduced to assess the damage caused by the ash bark beetle in 4 categories. From 2023, an additional parameter Tree damage class, ash dieback crown was introduced, which based on Lenz et al. (2012) and indicates the damage in the crown of the tree. This classification was added because, unlike the Langer et al. (2015) classification, it describes the damage class independently of the beetle infestation. A comparison of the different damage classifications enables a better description of the damage pattern. A more detailed description of the three parameters used (Tree damage class, ash dieback; Tree damage class, ash bark beetle and Tree damage class, ash dieback crown) is provided in the dataset comment.

Lichen trees of Fraxinus excelsior and Quercus robur at the Leipzig Canopy Crane Facility

Using the Leipzig Canopy Crane Facility situated in the temperate floodplain forest of Leipzig, epiphytic lichens on Fraxinus excelsior and Quercus robur were sampled between fall of 2016 until summer of 2017. A layered design was applied: Tree crowns were divided into five equally-spaced crown layers, with the trunk below the crown as an extra layer. In each layer a number of plots proportional to that layers bark surface area was placed. In each plot (100 cm²), lichen cover was documented. In addition, descriptors, such as branch diameter, height, position within the tree and LAI were measured. And supporting information on the identification the the lichen species. The goal was to determine epiphytic lichen diversity and distribution patterns and to infer mechanistic explanation of their emergence.

Lichen cover of Fraxinus excelsior and Quercus robur at the Leipzig Canopy Crane Facility

Using the Leipzig Canopy Crane Facility situated in the temperate floodplain forest of Leipzig, epiphytic lichens on Fraxinus excelsior and Quercus robur were sampled between fall of 2016 until summer of 2017. A layered design was applied: Tree crowns were divided into five equally-spaced crown layers, with the trunk below the crown as an extra layer. In each layer a number of plots proportional to that layers bark surface area was placed. In each plot (100 cm²), lichen cover was documented. In addition, descriptors, such as branch diameter, height, position within the tree and LAI were measured. And supporting information on the identification the the lichen species. The goal was to determine epiphytic lichen diversity and distribution patterns and to infer mechanistic explanation of their emergence.

Lichen identification of Fraxinus excelsior and Quercus robur at the Leipzig Canopy Crane Facility

Using the Leipzig Canopy Crane Facility situated in the temperate floodplain forest of Leipzig, epiphytic lichens on Fraxinus excelsior and Quercus robur were sampled between fall of 2016 until summer of 2017. A layered design was applied: Tree crowns were divided into five equally-spaced crown layers, with the trunk below the crown as an extra layer. In each layer a number of plots proportional to that layers bark surface area was placed. In each plot (100 cm²), lichen cover was documented. In addition, descriptors, such as branch diameter, height, position within the tree and LAI were measured. And supporting information on the identification the the lichen species. The goal was to determine epiphytic lichen diversity and distribution patterns and to infer mechanistic explanation of their emergence.

Vegetation survey of plant species richness and cover in managed grasslands of central Germany, summer of 2013

Vegetation relevés were carried out at five of the Terrestrial Environmental Observatories (TERENO) project (www.tereno.net) sites were mown or grazed grasslands were available. The initial study design was for investigating the impact of land management (mown meadows versus grazed pastures) on plant diversity and spatial scale heterogeneity. The selected grasslands were managed as either meadows or pastures for at least the last ten years. The initial study design was a balanced, nested design with three grasslands per land management type and study site. Vegetation relevés of 10 m x 10 m were established within identified grasslands from which 10 subplots, of 1 m^2, were randomly selected to be surveyed. Within each subplot all vascular plant species were determined and their cover was visually estimated to the nearest percentage as a proxy for abundance. Data is provided as percentage cover per subplot. Plant species names were updated according to The Plant List. Due to in-field limitations and more detailed records from farmers, the final data set consists of 270 subplot records, of which 120 are within meadows and 150 within pastures. The sampling inbalance should be accounted for (see associated publication for further details, and the supplementary plot combination file). Two complementary data sets were also collected at the same plots (with the same spatial resolution) for soil microbial diversity of fungi and bacteria. These data sets have been deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under the accession PRJNA563995.

Die Rolle von Pilzen bei der Astreinigung von Laubbäumen

Wertholzproduktion mit heimischen Läubbäumen basiert auf zwei grundlegenden, preisbestimmenden Rundholzeigenschaften: Astreinheit und Dimension. Zur Steuerung beider Wachstumsabläufe bedient sich die Waldwachstumskunde dazu der Konkurrenzregelung. Die erreichte Astreinigung wird dabei durch Fäulnisprozesse (Pilze) beschleunigt. Das Dickenwachstum des Baumschaftes sorgt in einem zweiten Schritt für eine Überwallung des abgestorbenen und zersetzten Astes. Im vorliegenden Projekt wird die Rolle der Pilze als 'nützliche Lebewesen' bei der Astreinigung aber auch als 'potentielle Fäuleerreger' nach Abschluss der Überwallung untersucht. Am Beispiel von Esche und Bergahorn wird das Potenzial von Pilzen untersucht, nach Abschluss der Überwallung eines abgestorbenen Astes im Stamm die Schutzbarrieren des Baumes zu überwinden und Holz zu zersetzen. Das Risiko des Eindringens von Pilzen in Wertholz wird dabei anhand von Ästen verschiedener Dimension, Höhe am Schaft und Überwallungsdauer abgeschätzt. Entscheidungshilfen für die Steuerung von Astreinigung und Dimensionierung sollen dabei unter diesem Aspekt optimiert werden.

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