Rieland, Georg; Scholz, Mathias; Engelmann, Rolf A; Hartmann, Timo; Hecht, Christian; Henkel, Stefanie; Kasperidus, Hans D; Pruschitzki, Ullrich; Wirth, Christian; Seele-Dilbat, Carolin (2024): Tree inventory dataset of floodplain forest, Leipzig, Germany [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.968663
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Published: 2024-10-14 • DOI registered: 2024-11-12
Abstract:
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).
Related to:
Scholz, Mathias; Seele-Dilbat, Carolin; Engelmann, Rolf A; Kasperidus, Hans D; Kirsten, Fabian; Herkelrath-Bleyl, A; Vieweg, Michael (2022): Die Elster-Luppe-Aue – eine wertvolle Auenlandschaft. Ergebnisse der wissenschaftlichen Begleitung aus dem Projekt Lebendige Luppe. Helmholtz-Zentrum für Umweltforschung GmbH - UFZ, https://doi.org/10.57699/RXX9-ZH02
Project(s):
Lebendige Luppe (LUPPE)
Coverage:
Median Latitude: 51.369517 * Median Longitude: 12.270226 * South-bound Latitude: 51.348779 * West-bound Longitude: 12.192318 * North-bound Latitude: 51.388276 * East-bound Longitude: 12.330802
Comment:
Two tree inventories of trees with a breast hight diameter of >5cm were conducted on 60 plots (each 2500m²) of the project Lebendige Luppe. The first inventory was conducted in the winters of 2013/14 and 2016/17, the second inventory was conducted in the winter of 2020/21.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Sample ID | Sample ID | ||||
| 2 | Tree ID | Tree ID | ||||
| 3 | Year of sampling | Year sampl | ||||
| 4 | LATITUDE | Latitude | Geocode | |||
| 5 | LONGITUDE | Longitude | Geocode | |||
| 6 | ELEVATION | Elevation | m a.s.l. | Geocode | ||
| 7 | Plot | Plot | ||||
| 8 | Tree, history | Tree history | ||||
| 9 | Species | Species | ||||
| 10 | Abbreviation | Abbrev | Species abbreviation | |||
| 11 | Trees, diameter at breast height | DBH | cm | Tape measure | ||
| 12 | Flag, interpolation | Flag interpol | indicates whether a BHD has been interpolated or not (0=not interpolated, 1=interpolated) | |||
| 13 | HEIGHT above ground | Height | m | Geocode – Height at which the BHD was measured | ||
| 14 | Tree, height to crown base | H crown base | m | |||
| 15 | Tree height | Tree height | m | Clinometer, Haglöf Sweden, Vertex 5 | ||
| 16 | Flag, interpolation | Flag interpol | Indicates whether the tree heights were measured in 2023 or not (0= were measured in the sampling year 1= were measured in 2023) | |||
| 17 | Tree, social status | Tree social | 1=predomint / 2=domint / 3=co-domint / 4=domited / 5=sheltered / 6=remnts | |||
| 18 | Tree, crown cover | Tree crown cov | 0=no / 1=partly / 2=yes | |||
| 19 | Vitality | Vitality | 1=ample / 2=normal / 3=suffering / 4=dead | |||
| 20 | Tree damage class, canker | Tree dam canker | Mechanical damages: 0=no damage / 1=small / 2=medium / 3=heavy | |||
| 21 | Tree damage class, crown | Tree dam crown | 0=no breakage / 1=small / 2=medium / 3=heavy | |||
| 22 | Tree damage class, drought | Tree dam drought | 0=no dry parts visible / 1=small / 2=medium / 3=heavy | |||
| 23 | Tree damage class, trunk rot | Tree dam trunk rot | 0=no rot visible / 1=small / 2=medium / 3=heavy | |||
| 24 | Tree damage class, trunk fungi | Tree dam trunk fung | Tree fungi in the basal area of the tree; 0=no fruit bodies visible / 1=few / 2=medium / 3=many | |||
| 25 | Tree damage class, trunk fungi | Tree dam trunk fung | Tree fungi in the upper trunk area of the tree : 0=no fungi at tree trunk / 1=few / 2=medium / 3=many | |||
| 26 | Tree damage class, canker | Tree dam canker | Other damages: 0=no or visible / 1=small / 2=medium / 3=heavy |
License:
Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA-4.0)
Size:
313467 data points
Download Data
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