ArticleAnnals of botany2020
Mechanisms behind species-specific water economy responses to water level drawdown in peat mosses.
Article in Annals of botany, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 45 citations in OpenAlex.
- Linking biosurface reactivity and photosynthesis to investigate Sphagnum mosses as ecosystem engineers.The New phytologist · 2026Article
- Linking moss structural and functional traits to soil water fluxes and soil erosion.AoB PLANTS · 2026Article
- Fostering Peat Moss Feedbacks to Accelerate Peatland Restoration.Global change biology · 2026Review
- The effects of drought on Sphagnum moss species and the implications for hydrology in peatlands.The New phytologist · 2025Review
- From spore to gametophyte: Investigating morphological dynamics of hyaline cells and corresponding gene expression patterns in Sphagnum.BMC plant biology · 2025Article
- Stronger Drought Response of COGlobal change biology · 2025Article
- Balancing the solar irradiance needs: optimising growth in sphagnum palustre through tailored UV-B effects.BMC plant biology · 2025Article
- Pigment Complex, Growth and Chemical Composition Traits of BorealPlants (Basel, Switzerland) · 2024Article
- Variation in Water-Holding Capacity inPlants (Basel, Switzerland) · 2024Article
- More is not always better: peat moss mixtures slightly enhance peatland stability.Proceedings. Biological sciences · 2024Article
- Article
- Molecular and physiological responses to desiccation indicate the abscisic acid pathway is conserved in the peat moss, Sphagnum.Journal of experimental botany · 2022Article
- The moss traits that rule cyanobacterial colonization.Annals of botany · 2022Article
- Global COScientific reports · 2021Article
- Development of an Image Analysis Pipeline to Estimate Sphagnum Colony Density in the Field.Plants (Basel, Switzerland) · 2021Article
- Interlinking moss functional traits. A commentary on: 'Mechanisms behind species-specific water economy responses to water level drawdown in peat mosses'.Annals of botany · 2020Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsThe ecosystem engineers Sphagnum (peat mosses) are responsible for sequestering a large proportion of carbon in northern peatlands. Species may respond differently to hydrological changes, and water level changes may lead to vegetation shifts in peatlands, causing them to revert from sinks to sources of carbon. We aimed to compare species-specific responses to water level drawdown within Sphagnum, and investigate which traits affect water economy in this genus.
methodsIn a mesocosm experiment, we investigated how water level drawdown affected water content (WC) in the photosynthetically active apex of the moss and maximum quantum yield of photosystem II (i.e. Fv/Fm) of 13 Sphagnum species. Structural traits were measured, and eight anatomical traits were quantified from scanning electron microscopy micrographs. KEY
resultsMixed-effects models indicated that at high water level, large leaves were the most influential predictor of high WC, and at low water level WC was higher in species growing drier in the field, with larger hyaline cell pore sizes and total pore areas associated with higher WC. Higher stem and peat bulk density increased WC, while capitulum mass per area and numerical shoot density did not. We observed a clear positive relationship between Fv/Fm and WC in wet-growing species.
conclusionsWhile we found that most hummock species had a relatively high water loss resistance, we propose that some species are able to maintain a high WC at drawdown by storing large amounts of water at a high water level. Our result showing that leaf traits are important warrants further research using advanced morphometric methods. As climate change may lead to more frequent droughts and thereby water level drawdowns in peatlands, a mechanistic understanding of species-specific traits and responses is crucial for predicting future changes in these systems.
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