2022
Rentschler, T., Bartelheim, M., Behrens, T., Díaz-Zorita Bonilla, M., Teuber, S., Scholten, T., Schmidt, K., 2022. Contextual spatial modelling in the horizontal and vertical domains. Sci Rep 12, 9496. https://doi.org/10.1038/s41598-022-13514-5.
Teuber, S., Bartelheim, M., Hardenberg, R., Knopf, M., Knopf, T., Kühn, P., Schade, T., Schmidt, K., Scholten, T., 2022. Why do we need interdisciplinary cooperation with anthropologists and archaeologists in soil science? J. Plant Nutr. Soil Sci. 185, 752–765. https://doi.org/10.1002/jpln.202200120.
Miera, J. J., Schmidt, K., Suchodoletz, H. v., Ulrich, M., Werther, L., Zielhofer, C., Ettel, P., Veit, U. & Zerboni, A. (2022) „Large-scale investigations of Neolithic settlement dynamics in Central Germany based on machine learning analysis: A case study from the Weiße Elster river catchment“, PLOS ONE, Vol. 17, No. 4, e0265835.
2021
Morsy, M., Taghizadeh-Mehrjardi, R., Michaelides, S., Scholten, T., Dietrich, P. & Schmidt, K. (2021) „Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data“, Remote Sensing, Vol. 13, No. 21, S. 4243.
Rentschler, T., Schmidt, K., Behrens, T. & Scholten, T. (2021) Key IDs to link the soil properties data and the multi-scale terrain covariates as well as spatial and depth information of the soil samples from Lora del Rio, Andalusia, Spain [Online], PANGAEA. Verfügbar unter https://doi.pangaea.de/10.1594/PANGAEA.938680.
Rentschler, T., Schmidt, K., Nitschke, R., Scholten, T. & Teuber, S. (2021) Mid-infrared (MIR) spectroscopy of soil samples from Lora del Rio, Andalusia, Spain [Online], PANGAEA. Verfügbar unter https://doi.pangaea.de/10.1594/PANGAEA.938512.
Rentschler, T., Schmidt, K., Behrens, T. & Scholten, T. (2021) Multi-scale terrain covariates at each soil profile location from Lora del Rio, Andalusia, Spain [Online], PANGAEA. Verfügbar unter https://doi.pangaea.de/10.1594/PANGAEA.938771.
Rentschler, T., Schmidt, K., Nitschke, R., Scholten, T. & Teuber, S. (2021) Near-infrared (NIR) spectroscopy of soil samples from Lora del Rio, Andalusia, Spain [Online], PANGAEA. Verfügbar unter https://doi.pangaea.de/10.1594/PANGAEA.938513.
Rentschler, T., Schmidt, K., Nitschke, R., Scholten, T. & Teuber, S. (2021) Predicted soil data from samples in Lora del Rio, Andalusia, Spain [Online], PANGAEA. Verfügbar unter https://doi.pangaea.de/10.1594/PANGAEA.938517.
Rentschler, T., Schmidt, K., Nitschke, R., Scholten, T. & Teuber, S. (2021) Soil profile meta data from samples in Lora del Rio, Andalusia, Spain [Online], PANGAEA. Verfügbar unter https://doi.pangaea.de/10.1594/PANGAEA.938505.
Rentschler, T., Schmidt, K., Behrens, T. & Scholten, T. (2021) Soil properties data of soil organic carbon, pH, soil texture, cation exchange capacity, water content at field capacity, and the soil quality rating for each sample from Lora del Rio, Andalusia, Spain [Online], PANGAEA. Verfügbar unter https://doi.pangaea.de/10.1594/PANGAEA.938772.
Rentschler, T., Schmidt, K., Nitschke, R., Scholten, T. & Teuber, S. (2021) Wet chemistry analysis for soil organic carbon, pH, sand, silt, and clay content from samples in Lora del Rio, Andalusia, Spain [Online], PANGAEA. Verfügbar unter https://doi.pangaea.de/10.1594/PANGAEA.938519.
Suchodoletz, D. von, Brettschneider, P., Böker, E., Apel, J., Iglezakis, D., Schmidt, K. & Schneider, G. (2021) „Leitfaden – Verantwortungsvoller Umgang mit Forschungsdaten“ [Online]. DOI: 10.5281/ZENODO.4907422.
Taghizadeh-Mehrjardi, R., Schmidt, K., Toomanian, N., Heung, B., Behrens, T., Mosavi, A., S. Band, S., Amirian-Chakan, A., Fathabadi, A. & Scholten, T. (2021) „Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models“, Geoderma, Vol. 383.
2020
Gries, P., Schmidt, K., Scholten, T. & Kühn, P. (2020) „Regional and local scale variations in soil organic carbon stocks in West Greenland“, Journal of Plant Nutrition and Soil Science, Vol. 183, No. 3, S. 292–305.
Rentschler, T., Werban, U., Ahner, M., Behrens, T., Gries, P., Scholten, T., Teuber, S. & Schmidt, K. (2020) „3D mapping of soil organic carbon content and soil moisture with multiple geophysical sensors and machine learning“, Vadose Zone Journal, Vol. 19, No. 1.
Taghizadeh-Mehrjardi, R., Mahdianpari, M., Mohammadimanesh, F., Behrens, T., Toomanian, N., Scholten, T. & Schmidt, K. (2020) „Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran“, Geoderma, Vol. 376.
Taghizadeh-Mehrjardi, R., Schmidt, K., Amirian-Chakan, A., Rentschler, T., Zeraatpisheh, M., Sarmadian, F., Valavi, R., Davatgar, N., Behrens, T. & Scholten, T. (2020) „Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space“, Remote Sensing, Vol. 12, No. 7, S. 1095.
Taghizadeh-Mehrjardi, R., Schmidt, K., Eftekhari, K., Behrens, T., Jamshidi, M., Davatgar, N., Toomanian, N. & Scholten, T. (2020) „Synthetic resampling strategies and machine learning for digital soil mapping in Iran“, European Journal of Soil Science, Vol. 71, No. 3, S. 352–368.
2019
Behrens, T., MacMillan, R. A., Rossel, R. A. V., Schmidt, K. & Lee, J. (2019) „Teleconnections in spatial modelling“, Geoderma, Vol. 354, S. 113854.
Behrens, T., Rossel, R. A. V., Kerry, R., MacMillan, R., Schmidt, K., Lee, J., Scholten, T. & Zhu, A.-X. (2019) „The relevant range of scales for multi-scale contextual spatial modelling“, Scientific Reports, Vol. 9, No. 1.
Goebes, P., Schmidt, K., Seitz, S., Both, S., Bruelheide, H., Erfmeier, A., Scholten, T. & Kühn, P. (2019) „The strength of soil-plant interactions under forest is related to a Critical Soil Depth“, Scientific Reports, Vol. 9, No. 1.
Miera, J. J., Henkner, J., Schmidt, K., Fuchs, M., Scholten, T., Kühn, P. & Knopf, T. (2019) „Neolithic settlement dynamics derived from archaeological data and colluvial deposits between the Baar region and the adjacent low mountain ranges, southwest Germany“, E&\mathsemicolonamp\mathsemicolonG Quaternary Science Journal, Vol. 68, No. 1, S. 75–93.
Rentschler, T., Gries, P., Behrens, T., Bruelheide, H., Kühn, P., Seitz, S., Shi, X., Trogisch, S., Scholten, T., Schmidt, K. & Minasny, B. (2019) „Comparison of catchment scale 3D and 2.5D modelling of soil organic carbon stocks in Jiangxi Province, PR China“, PLOS ONE, Vol. 14, No. 8, e0220881.
Song, Z., Seitz, S., Li, J., Goebes, P., Schmidt, K., Kühn, P., Shi, X. & Scholten, T. (2019) „Tree diversity reduced soil erosion by affecting tree canopy and biological soil crust development in a subtropical forest experiment“, Forest Ecology and Management, Vol. 444, S. 69–77.
Teuber, S., Schmidt, K., Kühn, P. & Scholten, T. (2019) „Engaging with urban green spaces \textendash A comparison of urban and rural allotment gardens in Southwestern Germany“, Urban Forestry &\mathsemicolon Urban Greening, Vol. 43, S. 126381.
2018
Behrens, T., Schmidt, K., MacMillan, R. A. & Rossel, R. A. V. (2018) „Multiscale contextual spatial modelling with the Gaussian scale space“, Geoderma, Vol. 310, S. 128–137.
Behrens, T., Schmidt, K., MacMillan, R. A. & Rossel, R. A. V. (2018) „Multi-scale digital soil mapping with deep learning“, Scientific Reports, Vol. 8, No. 1.
Behrens, T., Schmidt, K., Rossel, R. A. V., Gries, P., Scholten, T. & MacMillan, R. A. (2018) „Spatial modelling with Euclidean distance fields and machine learning“, European Journal of Soil Science, Vol. 69, No. 5, S. 757–770.
Bernhard, N., Moskwa, L.-M., Schmidt, K., Oeser, R. A., Aburto, F., Bader, M. Y., Baumann, K., Blanckenburg, F. von, Boy, J., van den Brink, L., Brucker, E., Buedel, B., Canessa, R., Dippold, M. A., Ehlers, T. A., Fuentes, J. P., Godoy, R., Jung, P., Karsten, U., Koester, M., Kuzyakov, Y., Leinweber, P., Neidhardt, H., Matus, F., Mueller, C. W., Oelmann, Y., Oses, R., Osses, P., Paulino, L., Samolov, E., Schaller, M., Schmid, M., Spielvogel, S., Spohn, M., Stock, S., Stroncik, N., Tielboerger, K., Uebernickel, K., Scholten, T., Seguel, O., Wagner, D. & Kuehn, P. (2018) „Pedogenic and microbial interrelations to regional climate and local topography: New insights from a climate gradient (arid to humid) along the Coastal Cordillera of Chile“, Catena, Vol. 170, S. 335–355.
Binkenstein, J., Klein, A.-M., Assmann, T., Buscot, F., Erfmeier, A., Ma, K., Pietsch, K. A., Schmidt, K., Scholten, T., Wubet, T., Bruelheide, H., Schuldt, A. & Staab, M. (2018) „Multi-trophic guilds respond differently to changing elevation in a subtropical forest“, Ecography, Vol. 41, No. 6, S. 1013–1023.
Hounkpatin, K. O. L., Schmidt, K., Stumpf, F., Forkuor, G., Behrens, T., Scholten, T., Amelung, W. & Welp, G. (2018) „Predicting reference soil groups using legacy data: A data pruning and Random Forest approach for tropical environment (Dano catchment, Burkina Faso)“, Scientific Reports, Vol. 8, No. 1.
Huang, Y., Chen, Y., Castro-Izaguirre, N., Baruffol, M., Brezzi, M., Lang, A., Li, Y., Haerdtle, W., Oheimb, G. von, Yang, X., Liu, X., Pei, K., Both, S., Yang, B., Eichenberg, D., Assmann, T., Bauhus, J., Behrens, T., Buscot, F., Chen, X.-Y., Chesters, D., Ding, B.-Y., Durka, W., Erfmeier, A., Fang, J., Fischer, M., Guo, L.-D., Guo, D., Gutknecht, J. L. M., He, J.-S., He, C.-L., Hector, A., Hoenig, L., Hu, R.-Y., Klein, A.-M., Kuehn, P., Liang, Y., Li, S., Michalski, S., Scherer-Lorenzen, M., Schmidt, K., Scholten, T., Schuldt, A., Shi, X., Tan, M.-Z., Tang, Z., Trogisch, S., Wang, Z., Welk, E., Wirth, C., Wubet, T., Xiang, W., Yu, M., Yu, X.-D., Zhang, J., Zhang, S., Zhang, N., Zhou, H.-Z., Zhu, C.-D., Zhu, L., Bruelheide, H., Ma, K., Niklaus, P. A. & Schmid, B. (2018) „Impacts of species richness on productivity in a large-scale subtropical forest experiment“, Science, Vol. 362, No. 6410, 80-+.
Nessel, B., Neumann, D. & Bartelheim, M. (2018) Bronzezeitlicher Transport. Akteure, Mittel und Wege [Online], Universität Tübingen. Verfügbar unter https://publikationen.uni-tuebingen.de/xmlui/handle/10900/85332.
Song, Z., Seitz, S., Zhu, P., Goebes, P., Shi, X., Xu, S., Wang, M., Schmidt, K. & Scholten, T. (2018) „Spatial distribution of LAI and its relationship with throughfall kinetic energy of common tree species in a Chinese subtropical forest plantation“, Forest Ecology and Management, Vol. 425, S. 189–195.
Stumpf, F., Keller, A., Schmidt, K., Mayr, A., Gubler, A. & Schaepman, M. (2018) „Spatio-temporal land use dynamics and soil organic carbon in Swiss agroecosystems“, Agriculture Ecosystems & Environment, Vol. 258, S. 129–142.
2017
Bosch, A., Schmidt, K., He, J.-S., Doerfer, C. & Scholten, T. (2017) „Potential CO2 emissions from defrosting permafrost soils of the Qinghai-Tibet Plateau under different scenarios of climate change in 2050 and 2070“, Catena, Vol. 149, S. 221–231.
Heggemann, T., Welp, G., Amelung, W., Angst, G., Franz, S. O., Koszinski, S., Schmidt, K. & Paetzolcl, S. (2017) „Proximal gamma-ray spectrometry for site-independent in situ prediction of soil texture on ten heterogeneous fields in Germany using support vector machines“, Soil & Tillage Research, Vol. 168, S. 99–109.
Scholten, T., Goebes, P., Kuehn, P., Seitz, S., Assmann, T., Bauhus, J., Bruelheide, H., Buscot, F., Erfmeier, A., Fischer, M., Haerdtle, W., He, J.-S., Ma, K., Niklaus, P. A., Scherer-Lorenzen, M., Schmid, B., Shi, X., Song, Z., Oheimb, G. von, Wirth, C., Wubet, T. & Schmidt, K. (2017) „On the combined effect of soil fertility and topography on tree growth in subtropical forest ecosystems-a study from SE China“, Journal of Plant Ecology, Vol. 10, No. 1, S. 111–127.
Seitz, S., Nebel, M., Goebes, P., Kappeler, K., Schmidt, K., Shi, X., Song, Z., Webber, C. L., Weber, B. & Scholten, T. (2017) „Bryophyte-dominated biological soil crusts mitigate soil erosion in an early successional Chinese subtropical forest“, Biogeosciences, Vol. 14, No. 24, S. 5775–5788.
Stumpf, F., Schmidt, K., Goebes, P., Behrens, T., Schoenbrodt-Stitt, S., Wadoux, A., Xiang, W. & Scholten, T. (2017) „Uncertainty-guided sampling to improve digital soil maps“, Catena, Vol. 153, S. 30–38.
Trogisch, S., Schuldt, A., Bauhus, J., Blum, J. A., Both, S., Buscot, F., Castro-Izaguirre, N., Chesters, D., Durka, W., Eichenberg, D., Erfmeier, A., Fischer, M., Geissler, C., Germany, M. S., Goebes, P., Gutknecht, J., Hahn, C. Z., Haider, S., Haerdtle, W., He, J.-S., Hector, A., Hoenig, L., Huang, Y., Klein, A.-M., Kuehn, P., Kunz, M., Leppert, K. N., Li, Y., Liu, X., Niklaus, P. A., Pei, Z., Pietsch, K. A., Prinz, R., Pross, T., Scherer-Lorenzen, M., Schmidt, K., Scholten, T., Seitz, S., Song, Z., Staab, M., Oheimb, G. von, Weissbecker, C., Welk, E., Wirth, C., Wubet, T., Yang, B., Yang, X., Zhu, C.-D., Schmid, B., Ma, K. & Bruelheide, H. (2017) „Toward a methodical framework for comprehensively assessing forest multifunctionality“, Ecology and Evolution, Vol. 7, No. 24, S. 10652–10674.
2016
Bosch, A., Dörfer, C., He, J.-S., Schmidt, K. & Scholten, T. (2016) „Predicting soil respiration for the Qinghai-Tibet Plateau: An empirical comparison of regression models“, Pedobiologia, Vol. 59, 1-2, S. 41–49.
Goebes, P., Schmidt, K., Ha rdtle, W., Seitz, S., Stumpf, F., Oheimb, G. v. & Scholten, T. (2016) „Rule-based analysis of throughfall kinetic energy to evaluate biotic and abiotic factor thresholds to mitigate erosive power“, Progress in Physical Geography.
Stumpf, F., Goebes, P., Schmidt, K., Schindewolf, M., Schönbrodt-Stitt, S., Wadoux, A., Xiang, W. & Scholten, T. (2016) „Sediment reallocations due to erosive rainfall events in the Three Gorges Reservoir Area, Central China“, Land Degrad. Develop.
Stumpf, F., Schmidt, K., Behrens, T., Schoenbrodt-Stitt, S., Buzzo, G., Dumperth, C., Wadoux, A., Xiang, W. & Scholten, T. (2016) „Incorporating limited field operability and legacy soil samples in a hypercube sampling design for digital soil mapping“, Journal of Plant Nutrition and Soil Science, Vol. 179, No. 4, S. 499–509.
2015
Kroeber, W., Li, Y., Haerdtle, W., Ma, K., Schmid, B., Schmidt, K., Scholten, T., Seidler, G., Oheimb, G. von, Welk, E., Wirth, C. & Bruelheide, H. (2015) „Early subtropical forest growth is driven by community mean trait values and functional diversity rather than the abiotic environment“, Ecology and Evolution, Vol. 5, No. 17, S. 3541–3556.
Martini, E., Wollschlaeger, U., Koegler, S., Behrens, T., Dietrich, P., Reinstorf, F., Schmidt, K., Weiler, M., Werban, U. & Zacharias, S. (2015) „Spatial and Temporal Dynamics of Hillslope-Scale Soil Moisture Patterns: Characteristic States and Transition Mechanisms“, Vadose Zone Journal, Vol. 14, No. 4.
2014
Strehmel, A., Schoenbrodt-Stitt, S., Buzzo, G., Dumperth, C., Stumpf, F., Zimmermann, K., Bieger, K., Behrens, T., Schmidt, K., Bi, R., Rohn, J., Hill, J., Udelhoven, T., Xiang, W., Shi, X., Cai, Q., Jiang, T., Fohrer, N. & Scholten, T. (2015) „Assessment of geo-hazards in a rapidly changing landscape: the three Gorges Reservoir Region in China“, Environmental Earth Sciences, Vol. 74, No. 6, S. 4939–4960.
Baumann, F., Schmidt, K., Doerfer, C., He, J.-S., Scholten, T. & Kuehn, P. (2014) „Pedogenesis, permafrost, substrate and topography: Plot and landscape scale interrelations of weathering processes on the central-eastern Tibetan Plateau“, Geoderma, Vol. 226, S. 300–316.
Behrens, T., Schmidt, K., Ramirez-Lopez, L., Gallant, J., Zhu, A.-X. & Scholten, T. (2014) „Hyper-scale digital soil mapping and soil formation analysis“, Geoderma, Vol. 213, S. 578–588.
Ramirez-Lopez, L., Schmidt, K., Behrens, T., van Wesemael, B., Dematte, J. A. M. & Scholten, T. (2014) „Sampling optimal calibration sets in soil infrared spectroscopy“, Geoderma, Vol. 226, S. 140–150.
Schmidt, K., Behrens, T., Daumann, J., Ramirez-Lopez, L., Werban, U., Dietrich, P. & Scholten, T. (2014) „A comparison of calibration sampling schemes at the field scale“, Geoderma, Vol. 232, S. 243–256.
2013
Ramirez-Lopez, L., Behrens, T., Schmidt, K., Rossel, R. A. V., Dematte, J. A. M. & Scholten, T. (2013) „Distance and similarity-search metrics for use with soil vis-NIR spectra“, Geoderma, Vol. 199, S. 43–53.
Ramirez-Lopez, L., Behrens, T., Schmidt, K., Stevens, A., Dematte, J. A. M. & Scholten, T. (2013) „The spectrum-based learner: A new local approach for modeling soil vis-NIR spectra of complex datasets“, Geoderma, Vol. 195, S. 268–279.
Schoenbrodt-Stitt, S., Behrens, T., Schmidt, K., Shi, X. & Scholten, T. (2013) „Degradation of cultivated bench terraces in the Three Gorges Area: Field mapping and data mining“, Ecological Indicators, Vol. 34, S. 478–493.
2012
Werban, U., Nüsch, A. K., Behrens, T., Sauer, U., Schmidt, K. & Dietrich, P. (2012) „Geophysics for digital soil mapping at the landscape scale – Quality assurance to integrate electromagnetical induction“, Near Surface Geoscience 2012.
2010 – 2008
Behrens, T., Schmidt, K., Zhu, A. X. & Scholten, T. (2010) „The ConMap approach for terrain-based digital soil mapping“, European Journal of Soil Science, Vol. 61, No. 1, S. 133–143.
Behrens, T., Zhu, A.-X., Schmidt, K. & Scholten, T. (2010) „Multi-scale digital terrain analysis and feature selection for digital soil mapping“, Geoderma, Vol. 155, 3-4, S. 175–185.
Schmidt, K., Behrens, T., Friedrich, K. & Scholten, T. (2010) „A method to generate soilscapes from soil maps“, Journal of Plant Nutrition and Soil Science, Vol. 173, No. 2, S. 163–172.
Baumann, F., He, J.-S., Schmidt, K., Kuehn, P. & Scholten, T. (2009) „Pedogenesis, permafrost, and soil moisture as controlling factors for soil nitrogen and carbon contents across the Tibetan Plateau“, Global Change Biology, Vol. 15, No. 12, S. 3001–3017.
Behrens, T., Schmidt, K. & Scholten, T. (2008) „An approach to removing uncertainties in nominal environmental covariates and soil class maps“, Digital Soil Mapping With Limited Data, S. 213–224.
Behrens, T., Schmidt, K., Scholten, T., Hartemink, A. E., McBratney, A. & deLourdesMendoncaSantos, M. (2008) „An Approach to Removing Uncertainties in Nominal Environmental Covariates and Soil Class Maps“, Digital Soil Mapping With Limited Data, 213-+.
Schmidt, K., Behrens, T. & Scholten, T. (2008) „Instance selection and classification tree analysis for large spatial datasets in digital soil mapping“, Geoderma, Vol. 146, 1-2, S. 138–146.
