TY - RPRT A1 - Thonicke, Kirsten A1 - Rahner, Eva A1 - Arneth, Almut A1 - Bartkowski, Bartosz A1 - Bonn, Aletta A1 - Döhler, Christian A1 - Finger, Robert A1 - Freitag, Jens A1 - Grosch, Rita A1 - Grossart, Hans-Peter A1 - Grützmacher, Kim A1 - Hartman Scholz, Amber A1 - Häuser, Christoph A1 - Hickler, Thomas A1 - Hölker, Franz A1 - Jähnig, Sonja C. A1 - Jeschke, Jonathan A1 - Kassen, Rees A1 - Kastner, Thomas A1 - Kramer-Schadt, Stephanie A1 - Krug, Cornelia A1 - Lakner, Sebastian A1 - Loft, Lasse A1 - Matzdorf, Bettina A1 - Meakins, Felicity A1 - De Meester, Luc A1 - Monaghan, Michael T. A1 - Müller, Daniel A1 - Overmann, Jörg A1 - Quaas, Martin A1 - Radchuk, Viktoriia A1 - Reyer, Christopher A1 - Roos, Christian A1 - Scholz, Imme A1 - Schroer, Sibylle A1 - Sioen, Giles Bruno A1 - Sommer, Simone A1 - Sommerwerk, Nike A1 - Tockner, Klement A1 - Turk, Zachary A1 - Warner, Barbara A1 - Wätzold, Frank A1 - Wende, Wolfgang A1 - Veenstra, Tonjes A1 - Voort, Hein van de T1 - 10 Must-Knows aus der Biodiversitätsforschung Y1 - 2022 U6 - https://doi.org/10.5281/zenodo.6257476 PB - Potsdam-Institut für Klimafolgenforschung e.V. (PIK) CY - Potsdam ER - TY - GEN A1 - Sut-Lohmann, Magdalena A1 - Ramezany, Shaghayegh A1 - Kästner, Friederike A1 - Raab, Thomas A1 - Heinrich, Martina A1 - Grimm, Mark T1 - Using modified Tessier sequential extraction to specify potentially toxic metals at a former sewage farm T2 - Journal of Environmental Management Y1 - 2022 U6 - https://doi.org/10.1016/j.jenvman.2021.114229 SN - 1095-8630 SN - 0301-4797 VL - 304 ER - TY - GEN A1 - Kästner, Friederike A1 - Sut-Lohmann, Magdalena A1 - Ramezany, Shaghayegh A1 - Raab, Thomas A1 - Feilhauer, Hannes A1 - Chabrillat, Sabine T1 - Estimating heavy metal concentrations in Technosols with reflectance spectroscopy T2 - Geoderma Y1 - 2022 U6 - https://doi.org/10.1016/j.geoderma.2021.115512 SN - 0016-7061 VL - 406 ER - TY - GEN A1 - Sut-Lohmann, Magdalena A1 - Grimm, Mark A1 - Kästner, Friederike A1 - Raab, Thomas T1 - Brassica juncea as a Feasible Hyperaccumulator of Chosen Potentially Toxic Metals Under Extreme Environmental Conditions T2 - International Journal of Environmental Research Y1 - 2023 U6 - https://doi.org/10.1007/s41742-023-00528-8 SN - 1735-6865 VL - 17 IS - 3 ER - TY - GEN A1 - Sut-Lohmann, Magdalena A1 - Ramezany, Shaghayegh A1 - Kästner, Friederike A1 - Raab, Thomas T1 - Feasibility of pXRF to evaluate chosen heavy metals in soil highly influenced by municipal waste disposal - a Former Sewage Farm Monitoring Study T2 - Land Degradation & Development Y1 - 2022 U6 - https://doi.org/10.1002/ldr.4147 SN - 1099-145X VL - 33 IS - 3 SP - 439 EP - 451 ER - TY - GEN A1 - Kästner, Friederike A1 - Sut-Lohmann, Magdalena A1 - Grimm, Mark A1 - Feilhauer, Hannes A1 - Küster, Theres A1 - Raab, Thomas T1 - Identification of potential toxic elements (PTE) in Technosols and in the hyperaccumulator plant Brassica juncea with imaging spectroscopy T2 - 12th EARSeL Workshop on Imaging Spectroscopy N2 - Vital, fertile soil is a limited resource and must be considered equal to air and water in its status as a protected good. In Europe, there are around 2.5 million potentially contaminated due to natural and anthropogenic activities. One third of these areas have been identified and 15% of them have already been remediated. An efficient approach for remediation is phytoremediation, a cost-effective and ecosystem-friendly method compared to conventional methods. We showed that hyperaccumulator plants, which have a high tolerance to the accumulation of potentially toxic elements (PTE), are suitable for phytoremediation methods. Imaging spectroscopy allowed us to monitor and optimize the process of accumulation. Our study was conducted in two steps: First we analysed the potential of multivariate procedures using Partial Least Squares Regression (PLSR) and Random Forest Regression (RFR) to predict highly contaminated areas with an inhomogeneous distribution of PTE concentrations from image data. Therefore, we used contaminated soil samples analysed for heavy metal contents as training data. The fully-trained models assisted to monitor PTE contaminated areas during phytoremediation. In a second step, we investigated hyperaccumulator plants and their spectral fingerprints during PTE uptake to detect the highest possible amount of PTE the plant can tolerate. Soil samples were measured after different preparation steps (“oven-dried”, “sieved”, “ground”, “Loss on Ignition (LOI)”) with a HySpex VNIR-1600 and HySpex SWIR 320m-e hyperspectral sensor under laboratory conditions. The spectral range of both sensors covers 450 nm to 2500 nm with a spectral sampling interval of 3.7 nm for the VNIR sensor and 6.25 nm for the SWIR sensor. The resulting spectral library was used for the PLSR and RFR analysis. Considering the optimal coefficient of determination (R2), PLSR showed an improving performance and accuracy with increasing preparation steps: R2_Cr: 0.52–0.78; R2_Cu: 0.36–0.73; R2_Ni: 0.19–0.42 and R2_Zn: 0.41–0.74. In comparison, RFR showed a weaker estimation performance, even when using higher sample preparation levels (R2_Cr:0.36–0.62; R2_Cu: 0.17–0.72; R2_Ni: 0.20–0.35 and R2_Zn: 0.26–0.67). The results indicate that PLSR provides a more robust estimation than the user-friendly RFR method. Additionally, the PTE estimation performance in strong heterogeneous soil samples can be improved by pre-treatment of soil samples in the laboratory. Second, we cultivated Brassica juncea in a greenhouse and applied the plants with different controlled zinc, nickel and copper concentration levels (low, medium, high). Measurements with a HySpex VNIR-SWIR hyperspectral sensor (408-2500 nm) and a point spectrometer PSR+ from Spectral Evolution (350-2500 nm) were conducted in-situ and in the laboratory. A principal component analysis (PCA) was performed on reflectance spectra to identify and visualize spectral changes with increasing PTE uptake. In addition, different indices were calculated, such as Leaf Area Index (LAI) and Red-Edge Inflection Point (REIP). First results revealed changes at the chlorophyll feature between 500-600 nm and at the REIP position with increasing PTE concentration. Further spectral features and indices will be investigated to check hyperspectral responses of PTE concentration. With reflectance imaging we are already able to detect differences of the PTE accumulation within the hyperaccumulator plants. Y1 - 2022 UR - http://is.earsel.org/workshop/12-IS-Potsdam2022/wp-content/uploads/2022/06/programm-booklet_long_complete_v2.pdf SP - 152 ER -