[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. Mires and Peat 20:1−30

doi: 10.19189/MaP.2018.OMB.340
[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. Biogeochemistry 167:347−361

doi: 10.1007/s10533-023-01065-4
[3]

Glaubitz M, Melková I, Pieloth D, Posten C, Grewe C. 2026. Investigation on growth of peat moss Sphagnum palustre in different photobioreactors. Bioresource Technology Reports 33:102475

doi: 10.1016/j.biteb.2025.102475
[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. Current Biology 33:R1175−R1181

doi: 10.1016/j.cub.2023.09.042
[6]

Van As H, Scheenen T, Vergeldt FJ. 2009. MRI of intact plants. Photosynthesis Research 102:213−222

doi: 10.1007/s11120-009-9486-3
[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. Plant Methods 20:69

doi: 10.1186/s13007-024-01187-2
[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. Journal of Experimental Botany 58:743−756

doi: 10.1093/jxb/erl157
[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. Plant, Cell & Environment 29:1715−1729

doi: 10.1111/j.1365-3040.2006.01544.x
[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. Plant Physiology 144:1157−1165

doi: 10.1104/pp.106.089250
[11]

Van As H, van Duynhoven J. 2013. MRI of plants and foods. Journal of Magnetic Resonance 229:25−34

doi: 10.1016/j.jmr.2012.12.019
[12]

Blystone S, Nuixe M, Traoré AS, Cochard H, Picon-Cochard C, et al. 2024. Towards portable MRI in the plant sciences. Plant Methods 20:31

doi: 10.1186/s13007-024-01152-z
[13]

Meixner M, Kochs J, Foerst P, Windt CW. 2021. An integrated magnetic resonance plant imager for mobile use in greenhouse and field. Journal of Magnetic Resonance 323:106879

doi: 10.1016/j.jmr.2020.106879
[14]

Meixner M, Foerst P, Windt CW. 2021. Reduced spatial resolution MRI suffices to image and quantify drought induced embolism formation in trees. Plant Methods 17:38

doi: 10.1186/s13007-021-00732-7
[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. Science Advances 10:eadq4424

doi: 10.1126/sciadv.adq4424
[16]

Costabel S, Stange CF. 2025. Nuclear magnetic resonance relaxometry to characterise the decomposition degree of peat soils. Geoderma 456:117244

doi: 10.1016/j.geoderma.2025.117244
[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. The Open Magnetic Resonance Journal 3:27−45

doi: 10.2174/1874769801003020027
[18]

Freitas JCC, Bonagamba TJ, Emmerich FG. 1999. 13C high-resolution solid-state NMR study of peat carbonization. Energy & Fuels 13:53−59

doi: 10.1021/ef980075c
[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. Bioresource Technology Reports 15:100729

doi: 10.1016/j.biteb.2021.100729
[20]

Hennig J, Nauerth A, Friedburg H. 1986. RARE imaging: a fast imaging method for clinical MR. Magnetic Resonance in Medicine 3:823−833

doi: 10.1002/mrm.1910030602
[21]

Oti EU, Olusola MO, Eze FC, Enogwe SU. 2021. Comprehensive review of K-means clustering algorithms. International Journal of Advances in Scientific Research and Engineering 7(8):64−69

doi: 10.31695/IJASRE.2021.34050
[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. Plant Cell Reports 20:1135−1140

doi: 10.1007/s00299-002-0463-y