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Global Biogeochemical Cycles
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Global Biogeochemical Cycles
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Quantifying Carbon and Nutrient Input From Litterfall in European Forests Using Field Observations and Modeling

Authors: Mathias Neumann; Liisa Ukonmaanaho; James Johnson; Sue Benham; Lars Vesterdal; Radek Novotný; Arne Verstraeten; +4 Authors

Quantifying Carbon and Nutrient Input From Litterfall in European Forests Using Field Observations and Modeling

Abstract

AbstractLitterfall is a major, yet poorly studied, process within forest ecosystems globally. It is important for carbon dynamics, edaphic communities, and maintaining site fertility. Reliable information on the carbon and nutrient input from litterfall, provided by litter traps, is relevant to a wide audience including policy makers and soil scientists. We used litterfall observations of 320 plots from the pan‐European forest monitoring network of the “International Co‐operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests” to quantify litterfall fluxes. Eight litterfall models were evaluated (four using climate information and four using biomass abundance). We scaled up our results to the total European forest area and quantified the contribution of litterfall to the forest carbon cycle using net primary production aggregated by bioregions (north, central, and south) and by forest types (conifers and broadleaves). The 1,604 analyzed annual litterfall observations indicated an average carbon input of 224 g C · m−2 · year−1(annual nutrient inputs 4.49 g N, 0.32 g P, and 1.05 g K · m−2), representing a substantial percentage of net primary production from 36% in north Europe to 32% in central Europe. The annual turnover of carbon and nutrient in broadleaf canopies was larger than for conifers. The evaluated models provide large‐scale litterfall predictions with a bias less than 10%. Each year litterfall in European forests transfers 351 Tg C, 8.2 Tg N, 0.6 Tg P, and 1.9 Tg K to the forest floor. The performance of litterfall models may be improved by including foliage biomass and proxies for forest management.

Countries
Austria, Finland, Denmark, Sweden
Keywords

570, ICP Forests, hiili, /dk/atira/pure/thematic/inbo_th_00006, karike, 910, Species and biotopes, ravinteet, havupuut, Other Natural Sciences not elsewhere specified, 333, Pinophyta, modelling, models, broadleaved trees, karikesato, nutrients, Level II, litterfall, lehtipuut, forests, B003-ecology, biomass, carbon, forest ecosystems, Forest Science, Environmental Sciences (social aspects to be 507), ta4112, Europe, /dk/atira/pure/technological/modellering, metsäekosysteemit, /dk/atira/pure/geographic/europa, /dk/atira/pure/discipline/B000/B003

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    85
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
85
Top 1%
Top 10%
Top 1%
Green
hybrid