Leaf litter decomposition-Estimates of global variability based on Yasso07 model

M. Tuomi, et al, 'Leaf litter decomposition - Estimates of global variability based on Yasso07 model', Ecological Modelling, Vol. 220 (23): 3362-3371, first available online 8 October 2009. The version of record is available at doi:10.1016/j.ecolmodel.2009.05.016 © 2009 Elsevier B.V. All r...

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Published in:Ecological Modelling
Main Authors: Tuomi, Mikko, Thum, T., Järvinen, H., Fronzek, S., Berg, B., Harmon, M., Trofymow, J. A., Sevanto, S., Liski, J.
Other Authors: Centre for Astrophysics Research (CAR)
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/2299/17707
http://www.scopus.com/inward/record.url?scp=70350469275&partnerID=8YFLogxK
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spelling ftunivhertford:oai:uhra.herts.ac.uk:2299/17707 2024-06-02T08:15:25+00:00 Leaf litter decomposition-Estimates of global variability based on Yasso07 model Tuomi, Mikko Thum, T. Järvinen, H. Fronzek, S. Berg, B. Harmon, M. Trofymow, J. A. Sevanto, S. Liski, J. Centre for Astrophysics Research (CAR) 2009-12-10 10 http://hdl.handle.net/2299/17707 http://www.scopus.com/inward/record.url?scp=70350469275&partnerID=8YFLogxK eng eng Ecological Modelling Tuomi , M , Thum , T , Järvinen , H , Fronzek , S , Berg , B , Harmon , M , Trofymow , J A , Sevanto , S & Liski , J 2009 , ' Leaf litter decomposition-Estimates of global variability based on Yasso07 model ' , Ecological Modelling , vol. 220 , no. 23 , pp. 3362-3371 . https://doi.org/10.1016/j.ecolmodel.2009.05.016 0304-3800 http://hdl.handle.net/2299/17707 http://www.scopus.com/inward/record.url?scp=70350469275&partnerID=8YFLogxK Bayesian inference Climate change Decomposition Leaf litter Markov chain Monte Carlo Soil carbon Ecological Modelling 2009 ftunivhertford 2024-05-07T23:39:41Z M. Tuomi, et al, 'Leaf litter decomposition - Estimates of global variability based on Yasso07 model', Ecological Modelling, Vol. 220 (23): 3362-3371, first available online 8 October 2009. The version of record is available at doi:10.1016/j.ecolmodel.2009.05.016 © 2009 Elsevier B.V. All rights reserved. Litter decomposition is an important process in the global carbon cycle. It accounts for most of the heterotrophic soil respiration and results in formation of more stable soil organic carbon (SOC) which is the largest terrestrial carbon stock. Litter decomposition may induce remarkable feedbacks to climate change because it is a climate-dependent process. To investigate the global patterns of litter decomposition, we developed a description of this process and tested the validity of this description using a large set of foliar litter mass loss measurements (nearly 10,000 data points derived from approximately 70,000 litter bags). We applied the Markov chain Monte Carlo method to estimate uncertainty in the parameter values and results of our model called Yasso07. The model appeared globally applicable. It estimated the effects of litter type (plant species) and climate on mass loss with little systematic error over the first 10 decomposition years, using only initial litter chemistry, air temperature and precipitation as input variables. Illustrative of the global variability in litter mass loss rates, our example calculations showed that a typical conifer litter had 68% of its initial mass still remaining after 2 decomposition years in tundra while a deciduous litter had only 15% remaining in the tropics. Uncertainty in these estimates, a direct result of the uncertainty of the parameter values of the model, varied according to the distribution of the litter bag data among climate conditions and ranged from 2% in tundra to 4% in the tropics. This reliability was adequate to use the model and distinguish the effects of even small differences in litter quality or climate conditions on litter decomposition as ... Other/Unknown Material Tundra University of Hertfordshire: UH Research Archive Ecological Modelling 220 23 3362 3371
institution Open Polar
collection University of Hertfordshire: UH Research Archive
op_collection_id ftunivhertford
language English
topic Bayesian inference
Climate change
Decomposition
Leaf litter
Markov chain Monte Carlo
Soil carbon
Ecological Modelling
spellingShingle Bayesian inference
Climate change
Decomposition
Leaf litter
Markov chain Monte Carlo
Soil carbon
Ecological Modelling
Tuomi, Mikko
Thum, T.
Järvinen, H.
Fronzek, S.
Berg, B.
Harmon, M.
Trofymow, J. A.
Sevanto, S.
Liski, J.
Leaf litter decomposition-Estimates of global variability based on Yasso07 model
topic_facet Bayesian inference
Climate change
Decomposition
Leaf litter
Markov chain Monte Carlo
Soil carbon
Ecological Modelling
description M. Tuomi, et al, 'Leaf litter decomposition - Estimates of global variability based on Yasso07 model', Ecological Modelling, Vol. 220 (23): 3362-3371, first available online 8 October 2009. The version of record is available at doi:10.1016/j.ecolmodel.2009.05.016 © 2009 Elsevier B.V. All rights reserved. Litter decomposition is an important process in the global carbon cycle. It accounts for most of the heterotrophic soil respiration and results in formation of more stable soil organic carbon (SOC) which is the largest terrestrial carbon stock. Litter decomposition may induce remarkable feedbacks to climate change because it is a climate-dependent process. To investigate the global patterns of litter decomposition, we developed a description of this process and tested the validity of this description using a large set of foliar litter mass loss measurements (nearly 10,000 data points derived from approximately 70,000 litter bags). We applied the Markov chain Monte Carlo method to estimate uncertainty in the parameter values and results of our model called Yasso07. The model appeared globally applicable. It estimated the effects of litter type (plant species) and climate on mass loss with little systematic error over the first 10 decomposition years, using only initial litter chemistry, air temperature and precipitation as input variables. Illustrative of the global variability in litter mass loss rates, our example calculations showed that a typical conifer litter had 68% of its initial mass still remaining after 2 decomposition years in tundra while a deciduous litter had only 15% remaining in the tropics. Uncertainty in these estimates, a direct result of the uncertainty of the parameter values of the model, varied according to the distribution of the litter bag data among climate conditions and ranged from 2% in tundra to 4% in the tropics. This reliability was adequate to use the model and distinguish the effects of even small differences in litter quality or climate conditions on litter decomposition as ...
author2 Centre for Astrophysics Research (CAR)
author Tuomi, Mikko
Thum, T.
Järvinen, H.
Fronzek, S.
Berg, B.
Harmon, M.
Trofymow, J. A.
Sevanto, S.
Liski, J.
author_facet Tuomi, Mikko
Thum, T.
Järvinen, H.
Fronzek, S.
Berg, B.
Harmon, M.
Trofymow, J. A.
Sevanto, S.
Liski, J.
author_sort Tuomi, Mikko
title Leaf litter decomposition-Estimates of global variability based on Yasso07 model
title_short Leaf litter decomposition-Estimates of global variability based on Yasso07 model
title_full Leaf litter decomposition-Estimates of global variability based on Yasso07 model
title_fullStr Leaf litter decomposition-Estimates of global variability based on Yasso07 model
title_full_unstemmed Leaf litter decomposition-Estimates of global variability based on Yasso07 model
title_sort leaf litter decomposition-estimates of global variability based on yasso07 model
publishDate 2009
url http://hdl.handle.net/2299/17707
http://www.scopus.com/inward/record.url?scp=70350469275&partnerID=8YFLogxK
genre Tundra
genre_facet Tundra
op_relation Ecological Modelling
Tuomi , M , Thum , T , Järvinen , H , Fronzek , S , Berg , B , Harmon , M , Trofymow , J A , Sevanto , S & Liski , J 2009 , ' Leaf litter decomposition-Estimates of global variability based on Yasso07 model ' , Ecological Modelling , vol. 220 , no. 23 , pp. 3362-3371 . https://doi.org/10.1016/j.ecolmodel.2009.05.016
0304-3800
http://hdl.handle.net/2299/17707
http://www.scopus.com/inward/record.url?scp=70350469275&partnerID=8YFLogxK
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container_volume 220
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