| [1] |
Gaudig G, Krebs M, Prager A, Wichmann S, Barney M, et al. 2017. Sphagnum farming from species selection to the production of growing media: a review. |
| [2] |
Temmink RJM, Vroom RJE, van Dijk G, Käärmelahti SA, Koks AHW, et a. 2024. Restoring organic matter, carbon and nutrient accumulation in degraded peatlands: 10 years Sphagnum paludiculture. |
| [3] |
Glaubitz M, Melková I, Pieloth D, Posten C, Grewe C. 2026. Investigation on growth of peat moss Sphagnum palustre in different photobioreactors. |
| [4] |
Dörken VM. 2012. Generationswechsel: Bryophyta (Laubmoose). Universität Konstanz, Fachbereich Biologie, AG Dörken - Evolution und Biodiversität der Landpflanzen. (in German) www.biologie.uni-konstanz.de/doerken/lehre/skripte/generationswechsel/moose/lebermoose |
| [5] |
Lueth VM, Reski R. 2023. Mosses. |
| [6] |
Van As H, Scheenen T, Vergeldt FJ. 2009. MRI of intact plants. |
| [7] |
Boulc'h PN, Collewet G, Guillon B, Quellec S, Leport L, et al. 2024. Quantitative MRI imaging of parenchyma and venation networks in Brassica napus leaves: effects of development and dehydration. |
| [8] |
Van As H. 2007. Intact plant MRI for the study of cell water relations, membrane permeability, cell-to-cell and long distance water transport. |
| [9] |
Windt CW, Vergeldt FJ, De Jager PA, Van As H. 2006. MRI of long-distance water transport: a comparison of the phloem and xylem flow characteristics and dynamics in poplar, castor bean, tomato and tobacco. |
| [10] |
Scheenen TWJ, Vergeldt FJ, Heemskerk AM, Van As H. 2007. Intact plant magnetic resonance imaging to study dynamics in long-distance sap flow and flow-conducting surface area. |
| [11] |
Van As H, van Duynhoven J. 2013. MRI of plants and foods. |
| [12] |
Blystone S, Nuixe M, Traoré AS, Cochard H, Picon-Cochard C, et al. 2024. Towards portable MRI in the plant sciences. |
| [13] |
Meixner M, Kochs J, Foerst P, Windt CW. 2021. An integrated magnetic resonance plant imager for mobile use in greenhouse and field. |
| [14] |
Meixner M, Foerst P, Windt CW. 2021. Reduced spatial resolution MRI suffices to image and quantify drought induced embolism formation in trees. |
| [15] |
Mayer S, Rolletschek H, Radchuk V, Wagner S, Ortleb S, et al. 2024. Metabolic imaging in living plants: a promising field for chemical exchange saturation transfer (CEST) MRI. |
| [16] |
Costabel S, Stange CF. 2025. Nuclear magnetic resonance relaxometry to characterise the decomposition degree of peat soils. |
| [17] |
Jaeger F, Shchegolikhina A, Van As H, Schaumann GE. 2010. Proton NMR relaxometry as a useful tool to evaluate swelling processes in peat soils. |
| [18] |
Freitas JCC, Bonagamba TJ, Emmerich FG. 1999. 13C high-resolution solid-state NMR study of peat carbonization. |
| [19] |
Heck MA, Melková I, Posten C, Decker EL, Reski R. 2021. Medium optimization for biomass production of three peat moss (Sphagnum L.) species using fractional factorial design and response surface methodology. |
| [20] |
Hennig J, Nauerth A, Friedburg H. 1986. RARE imaging: a fast imaging method for clinical MR. |
| [21] |
Oti EU, Olusola MO, Eze FC, Enogwe SU. 2021. Comprehensive review of K-means clustering algorithms. |
| [22] |
Müller R-D, Frahm JP. 2013. Moose unter dem Mikroskop. Archive for Bryology 13:9−34 |
| [23] |
Leuschner C, Ellenberg H. 2017. Ecology of Central European forests: vegetation ecology of Central Europe. Vol. 1. Cham: Springer. 972 pp. doi: 10.1007/978-3-319-43042-3 |
| [24] |
Fieguth P. 2022. An introduction to pattern recognition and machine learning. Vol. 1. Cham: Springer. 471 pp. doi: 10.1007/978-3-030-95995-1 |
| [25] |
Hohe A, Decker E, Gorr G, Schween G, Reski R. 2002. Tight control of growth and cell differentiation in photoautotrophically growing moss (Physcomitrella patens) bioreactor cultures. |