2016
DOI: 10.1038/ncomms12113
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High potential for weathering and climate effects of non-vascular vegetation in the Late Ordovician

Abstract: It has been hypothesized that predecessors of today's bryophytes significantly increased global chemical weathering in the Late Ordovician, thus reducing atmospheric CO2 concentration and contributing to climate cooling and an interval of glaciations. Studies that try to quantify the enhancement of weathering by non-vascular vegetation, however, are usually limited to small areas and low numbers of species, which hampers extrapolating to the global scale and to past climatic conditions. Here we present a spati… Show more

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Cited by 88 publications
(95 citation statements)
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References 68 publications
(111 reference statements)
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“…However, we estimate much higher global NPP (Fig. 2) and weathering potential (32). We also note that extensive shallow water phosphate deposits in the Late Ordovician (35) indicate a marked increase in phosphorus input to the ocean (20).…”
Section: Resultsmentioning
confidence: 93%
See 1 more Smart Citation
“…However, we estimate much higher global NPP (Fig. 2) and weathering potential (32). We also note that extensive shallow water phosphate deposits in the Late Ordovician (35) indicate a marked increase in phosphorus input to the ocean (20).…”
Section: Resultsmentioning
confidence: 93%
“…We used a trait-based spatial model of cryptogamic vegetation (i.e., bryophyte and lichen) cover to estimate the potential global NPP of the early nonvascular plant biosphere (29,30). The Late Ordovician (445 Ma, Hirnantian stage) setup of the model is fully described elsewhere (32). The model is driven by existing Late Ordovician climate simulations (31), conducted at a range of different atmospheric CO 2 and O 2 concentrations.…”
Section: Methodsmentioning
confidence: 99%
“…This model is designed to predict lichen and bryophyte net primary productivity (NPP) in a process-based way from available light, surface temperature, atmospheric carbon dioxide concentration, and water content of lichens and bryophytes. Furthermore, it is applicable when estimating various impacts of lichens and bryophytes on biogeochemical cycles (Lenton et al, 2016;Porada et al, 2016bPorada et al, , 2017. The model includes a dynamic representation of the surface cover which depends on the balance of growth due to NPP and reduction by disturbance, such as fire (Porada et al, 2016a).…”
Section: The Land Surface Model Jsbachmentioning
confidence: 99%
“…Statistical analyses have served as the main means to deduce the impacts of various environmental factors on observed biocrust response in the majority of field and laboratory studies (Barger et al, 2006;Grote et al, 2010;Bowker et al, 2010a;Castillo-Monroy et al, 2011;Maestre et al, 2013). Process-based models have also been developed for biocrusts of lichens and mosses (Porada et al, 2013(Porada et al, , 2014(Porada et al, , 2016(Porada et al, , 2017. These studies estimate their contribution to the carbon uptake and nitrous oxide emissions on a global scale under various climatic conditions.…”
Section: Introductionmentioning
confidence: 99%