globalchange  > 气候变化与战略
DOI: 10.1029/2017GB005825
论文题名:
Quantifying Carbon and Nutrient Input From Litterfall in European Forests Using Field Observations and Modeling
作者: Neumann M.; Ukonmaanaho L.; Johnson J.; Benham S.; Vesterdal L.; Novotný R.; Verstraeten A.; Lundin L.; Thimonier A.; Michopoulos P.; Hasenauer H.
刊名: Global Biogeochemical Cycles
ISSN: 0886-6236
EISSN: 1944-9224
出版年: 2018
卷: 32, 期:5
语种: 英语
英文关键词: carbon cycle ; decomposition ; field method ; forest ecosystem ; forest floor ; litterfall ; nutrient dynamics ; primary production ; quantitative analysis ; soil fertility ; trap (equipment) ; turnover ; Europe ; Coniferophyta
学科: decomposition ; foliage ; forest floor ; NPP ; soil ; turnover
中文摘要: Litterfall 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. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160234
Appears in Collections:气候变化与战略

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作者单位: Institute of Silviculture, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna, Austria; Natural Resources Institute Finland, Helsinki, Finland; School of Agriculture and Food Science, University College Dublin, Dublin, Ireland; Forest Research, Alice Holt Lodge, Farnham, United Kingdom; Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark; Forestry and Game Management Research Institute, Praha, Czech Republic; Research Institute for Nature and Forest, Brussels, Belgium; Swedish University of Agricultural Sciences, Uppsala, Sweden; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland; Forest Research Institute of Athens, Athens, Greece

Recommended Citation:
Neumann M.,Ukonmaanaho L.,Johnson J.,et al. Quantifying Carbon and Nutrient Input From Litterfall in European Forests Using Field Observations and Modeling[J]. Global Biogeochemical Cycles,2018-01-01,32(5)
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