Climate and water-table levels regulate peat accumulation rates across Europe
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Research. Springer International Publishing. 2019;611–29. https://doi.org/10.1007/978-3-030-30069-2_28
PLOS One | https://doi.org/10.1371/journal.pone.0327422 July 23, 2025 15 / 16 39. Evans CD, Peacock M, Baird AJ, Artz RRE, Burden A, Callaghan N, et al. Overriding water table control on managed peatland greenhouse gas emissions. Nature. 2021;593(7860):548–52. https://doi.org/10.1038/s41586-021-03523-1 PMID: 33882562 40. Lamentowicz M, Gałka M, Marcisz K, Słowiński M, Kajukało-Drygalska K, Dayras MD, et al. Unveiling tipping points in long-term ecological records from Sphagnum-dominated peatlands. Biol Lett. 2019;15(4):20190043. https://doi.org/10.1098/rsbl.2019.0043 PMID: 30940021 41. Jassey VEJ, Reczuga MK, Zielińska M, Słowińska S, Robroek BJM, Mariotte P, et al. Tipping point in plant-fungal interactions under severe drought causes abrupt rise in peatland ecosystem respiration. Glob Chang Biol. 2018;24(3):972–86. https://doi.org/10.1111/gcb.13928 PMID: 28991408 42. Gavazov K, Albrecht R, Buttler A, Dorrepaal E, Garnett MH, Gogo S, et al. Vascular plant-mediated controls on atmospheric carbon assimilation and peat carbon decomposition under climate change. Glob Chang Biol. 2018;24(9):3911–21. https://doi.org/10.1111/gcb.14140 PMID: 29569798 43. Yan S, Yin L, Dijkstra FA, Wang P, Cheng W. Priming effect on soil carbon decomposition by root exudate surrogates: A meta-analysis. Soil Biology and Biochemistry. 2023;178:108955. https://doi.org/10.1016/j.soilbio.2023.108955 44. Le Geay M, Lauga B, Walcker R, Jassey VEJ. A meta-analysis of peatland microbial diversity and function responses to climate change. Soil Biol-
ogy and Biochemistry. 2024;189:109287. https://doi.org/10.1016/j.soilbio.2023.109287 45. Belyea LR, Clymo RS. Feedback control of the rate of peat formation. Proc Biol Sci. 2001;268(1473):1315–21. https://doi.org/10.1098/ rspb.2001.1665 PMID: 11410160 46. Laine A, Wilson D, Kiely G, Byrne KA. Methane flux dynamics in an Irish lowland blanket bog. Plant Soil. 2007;299(1–2):181–93. https://doi. org/10.1007/s11104-007-9374-6 47. Lamentowicz M, Gałka M, Lamentowicz Ł, Obremska M, Kühl N, Lücke A, Jassey VEJ. Reconstructing climate change and ombrotrophic bog development during the last 4000 years in northern Poland using biotic proxies, stable isotopes and trait-based approach. Palaeogeogr Palaeocli- matol Palaeoecol. 2015;418:261–77. https://doi.org/10.1016/j.palaeo.2014.10.009 48. Frolking S, Roulet NT, Moore TR, Richard PJH, Lavoie M, Muller SD. Modeling Northern Peatland Decomposition and Peat Accumulation. Ecosys- tems. 2001;4(5):479–98. https://doi.org/10.1007/s10021-001-0105-1 49. Hilbert DW, Roulet N, Moore T. Modelling and analysis of peatlands as dynamical systems. Journal of Ecology. 2000;88(2):230–42. https://doi. org/10.1046/j.1365-2745.2000.00438.x 50. Waddington JM, Day SM. Methane emissions from a peatland following restoration. J Geophys Res. 2007;112(G3). https://doi. org/10.1029/2007jg000400 51. Young DM, Baird AJ, Charman DJ, Evans CD, Gallego-Sala AV, Gill PJ, et al. Misinterpreting carbon accumulation rates in records from near- surface peat. Sci Rep. 2019;9(1):17939. https://doi.org/10.1038/s41598-019-53879-8 PMID: 31784556
52. Young DM, Baird AJ, Gallego-Sala AV, Loisel J. A cautionary tale about using the apparent carbon accumulation rate (aCAR) obtained from peat cores. Sci Rep. 2021;11(1):9547. https://doi.org/10.1038/s41598-021-88766-8 PMID: 33953225 53. Swindles GT, Holden J, Raby CL, Turner TE, Blundell A, Charman DJ, et al. Testing peatland water-table depth transfer functions using high- resolution hydrological monitoring data. Quaternary Science Reviews. 2015;120:107–17. https://doi.org/10.1016/j.quascirev.2015.04.019 54. Amesbury MJ, Swindles GT, Bobrov A, Charman DJ, Holden J, Lamentowicz M, et al. Development of a new pan-European testate amoeba transfer function for reconstructing peatland palaeohydrology. Quaternary Science Reviews. 2016;152:132–51. https://doi.org/10.1016/j. quascirev.2016.09.024 55. Heinemeyer A, Croft S, Garnett M, Gloor E, Holden J, Lomas M, et al. The MILLENNIA peat cohort model: predicting past, present and future soil carbon budgets and fluxes under changing climates in peatlands. Clim Res. 2010;45:207–26. https://doi.org/10.3354/cr00928 56. Frolking S, Roulet NT, Tuittila E, Bubier JL, Quillet A, Talbot J, et al. A new model of Holocene peatland net primary production, decomposition, water balance, and peat accumulation. Earth Syst Dynam. 2010;1(1):1–21. https://doi.org/10.5194/esd-1-1-2010 57. Morris PJ, Belyea LR, Baird AJ. Ecohydrological feedbacks in peatland development: a theoretical modelling study. Journal of Ecology. 2011;99(5):1190–201. https://doi.org/10.1111/j.1365-2745.2011.01842.x
58. Blaauw M, Christen JA. Flexible paleoclimate age-depth models using an autoregressive gamma process. Bayesian Anal. 2011;6(3). https://doi. org/10.1214/11-ba618 59. Ingram HAP. Soil layers in mires: function and terminology. Journal of Soil Science. 1978;29(2):224–7. https://doi.org/10.1111/j.1365-2389.1978. tb02053.x 60. Swindles GT, Roland TP, Amesbury MJ, Lamentowicz M, McKeown MM, Sim TG, et al. Quantifying the effect of testate amoeba decomposition on peat-based water-table reconstructions. Eur J Protistol. 2020;74:125693. https://doi.org/10.1016/j.ejop.2020.125693 PMID: 32305703 61. Compo GP, Whitaker JS, Sardeshmukh PD, Matsui N, Allan RJ, Yin X, et al. The Twentieth Century Reanalysis Project. Quart J Royal Meteoro Soc. 2011;137(654):1–28. https://doi.org/10.1002/qj.776 62. Slivinski LC, Compo GP, Whitaker JS, Sardeshmukh PD, Giese BS, McColl C, et al. Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system. Quart J Royal Meteoro Soc. 2019;145(724):2876–908. https://doi.org/10.1002/qj.3598 63. Karger DN, Nobis MP, Normand S, Graham CH, Zimmermann NE. CHELSA-TraCE21k v1.0. Downscaled transient temperature and precipitation data since the last glacial maximum. Copernicus GmbH. 2021. https://doi.org/10.5194/cp-2021-30
PLOS One | https://doi.org/10.1371/journal.pone.0327422 July 23, 2025 16 / 16 64. Therneau T. Total Least Squares: Deming, Theil-Sen, and Passing-Bablock Regression. R Package Vignette 2018. https://cran.r-project.org/web/ packages/deming/vignettes/deming.pdf 65. Cleveland WS. Robust Locally Weighted Regression and Smoothing Scatterplots. Journal of the American Statistical Association. 1979;74(368):829–36. https://doi.org/10.1080/01621459.1979.10481038 66. Cleveland WS. LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression. The American Statistician. 1981;35(1):54. https://doi.org/10.2307/2683591 67. MacArthur R. Species packing and competitive equilibrium for many species. Theor Popul Biol. 1970;1(1):1–11. https://doi.org/10.1016/0040- 5809(70)90039-0 PMID: 5527624 68. Hastie T, Tibshirani R. Exploring the Nature of Covariate Effects in the Proportional Hazards Model. Biometrics. 1990;46(4):1005. https://doi. org/10.2307/2532444 69. Hammer Ø, Harper DAT, Ryan PD. PAST: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica. 2001;4(1):9pp. 70. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. 2021. 71. Wickham H. ggplot2: Elegant Graphics for Data Analysis. Use R! Series. 2016. https://doi.org/10.1007/978-3-319-24277-4 72. Wood SN. Package “mgcv”: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation. In: Generalized Additive Models: An Intro-
duction with R. Second Edition. CRC Press; 2023. https://www.rdocumentation.org/packages/mgcv/versions/1.9-1