Data from: A test of the hierarchical model of litter decomposition

Our basic understanding of plant litter decomposition informs the assumptions underlying widely applied soil biogeochemical models, including those embedded in Earth system models. Confidence in projected carbon cycle-climate feedbacks therefore depends on accurate knowledge about the controls regul...

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Main Authors: Bradford, Mark A., Veen, Ciska G.F., Bonis, Anne, Bradford, Ella M., Classen, Aimee T., Cornelissen, J.H.C., Crowther, Thomas W., Freschet, Gregoire T., Kardol, Paul, Manrubia Freixa, Marta, Maynard, Daniel S., Newman, Gregory S., Logtestijn, Richard S.P., Viketoft, Maria, Wardle, David A., Wieder, William R., Wood, Stephen A., van der Putten, W.H.
Format: Other/Unknown Material
Language:unknown
Published: Yale University 2017
Subjects:
Online Access:https://research.wur.nl/en/datasets/data-from-a-test-of-the-hierarchical-model-of-litter-decompositio
https://doi.org/10.5061/dryad.c44h0
id ftunivwagenin:oai:library.wur.nl:wurpubs/537616
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spelling ftunivwagenin:oai:library.wur.nl:wurpubs/537616 2024-02-04T10:03:18+01:00 Data from: A test of the hierarchical model of litter decomposition Bradford, Mark A. Veen, Ciska G.F. Bonis, Anne Bradford, Ella M. Classen, Aimee T. Cornelissen, J.H.C. Crowther, Thomas W. Freschet, Gregoire T. Kardol, Paul Manrubia Freixa, Marta Maynard, Daniel S. Newman, Gregory S. Logtestijn, Richard S.P. Viketoft, Maria Wardle, David A. Wieder, William R. Wood, Stephen A. van der Putten, W.H. 2017 text/html https://research.wur.nl/en/datasets/data-from-a-test-of-the-hierarchical-model-of-litter-decompositio https://doi.org/10.5061/dryad.c44h0 unknown Yale University https://edepot.wur.nl/450405 https://research.wur.nl/en/datasets/data-from-a-test-of-the-hierarchical-model-of-litter-decompositio doi:10.5061/dryad.c44h0 info:eu-repo/semantics/openAccess Wageningen University & Research carbon cycling ecological fallacy ecosystem processes experimental design microbial biomass pattern and scale scaling theory soil biogeochemical models variability info:eu-repo/semantics/other info:eu-repo/semantics/publishedVersion 2017 ftunivwagenin https://doi.org/10.5061/dryad.c44h0 2024-01-10T23:17:36Z Our basic understanding of plant litter decomposition informs the assumptions underlying widely applied soil biogeochemical models, including those embedded in Earth system models. Confidence in projected carbon cycle-climate feedbacks therefore depends on accurate knowledge about the controls regulating the rate at which plant biomass is decomposed into products such as CO2. Here, we test underlying assumptions of the dominant conceptual model of litter decomposition. The model posits that a primary control on the rate of decomposition at regional to global scales is climate (temperature and moisture), with the controlling effects of decomposers negligible at such broad spatial scales. Using a regional-scale litter decomposition experiment at six sites spanning from northern Sweden to southern France – and capturing both within and among site variation in putative controls – we find that contrary to predictions from the hierarchical model, decomposer (microbial) biomass strongly regulates decomposition at regional scales. Further, the size of the microbial biomass dictates the absolute change in decomposition rates with changing climate variables. Our findings suggest the need for revision of the hierarchical model, with decomposers acting as both local- and broad-scale controls on litter decomposition rates, necessitating their explicit consideration in global biogeochemical models. Other/Unknown Material Northern Sweden Wageningen UR (University & Research Centre): Digital Library
institution Open Polar
collection Wageningen UR (University & Research Centre): Digital Library
op_collection_id ftunivwagenin
language unknown
topic carbon cycling
ecological fallacy
ecosystem processes
experimental design
microbial biomass
pattern and scale
scaling theory
soil biogeochemical models
variability
spellingShingle carbon cycling
ecological fallacy
ecosystem processes
experimental design
microbial biomass
pattern and scale
scaling theory
soil biogeochemical models
variability
Bradford, Mark A.
Veen, Ciska G.F.
Bonis, Anne
Bradford, Ella M.
Classen, Aimee T.
Cornelissen, J.H.C.
Crowther, Thomas W.
Freschet, Gregoire T.
Kardol, Paul
Manrubia Freixa, Marta
Maynard, Daniel S.
Newman, Gregory S.
Logtestijn, Richard S.P.
Viketoft, Maria
Wardle, David A.
Wieder, William R.
Wood, Stephen A.
van der Putten, W.H.
Data from: A test of the hierarchical model of litter decomposition
topic_facet carbon cycling
ecological fallacy
ecosystem processes
experimental design
microbial biomass
pattern and scale
scaling theory
soil biogeochemical models
variability
description Our basic understanding of plant litter decomposition informs the assumptions underlying widely applied soil biogeochemical models, including those embedded in Earth system models. Confidence in projected carbon cycle-climate feedbacks therefore depends on accurate knowledge about the controls regulating the rate at which plant biomass is decomposed into products such as CO2. Here, we test underlying assumptions of the dominant conceptual model of litter decomposition. The model posits that a primary control on the rate of decomposition at regional to global scales is climate (temperature and moisture), with the controlling effects of decomposers negligible at such broad spatial scales. Using a regional-scale litter decomposition experiment at six sites spanning from northern Sweden to southern France – and capturing both within and among site variation in putative controls – we find that contrary to predictions from the hierarchical model, decomposer (microbial) biomass strongly regulates decomposition at regional scales. Further, the size of the microbial biomass dictates the absolute change in decomposition rates with changing climate variables. Our findings suggest the need for revision of the hierarchical model, with decomposers acting as both local- and broad-scale controls on litter decomposition rates, necessitating their explicit consideration in global biogeochemical models.
format Other/Unknown Material
author Bradford, Mark A.
Veen, Ciska G.F.
Bonis, Anne
Bradford, Ella M.
Classen, Aimee T.
Cornelissen, J.H.C.
Crowther, Thomas W.
Freschet, Gregoire T.
Kardol, Paul
Manrubia Freixa, Marta
Maynard, Daniel S.
Newman, Gregory S.
Logtestijn, Richard S.P.
Viketoft, Maria
Wardle, David A.
Wieder, William R.
Wood, Stephen A.
van der Putten, W.H.
author_facet Bradford, Mark A.
Veen, Ciska G.F.
Bonis, Anne
Bradford, Ella M.
Classen, Aimee T.
Cornelissen, J.H.C.
Crowther, Thomas W.
Freschet, Gregoire T.
Kardol, Paul
Manrubia Freixa, Marta
Maynard, Daniel S.
Newman, Gregory S.
Logtestijn, Richard S.P.
Viketoft, Maria
Wardle, David A.
Wieder, William R.
Wood, Stephen A.
van der Putten, W.H.
author_sort Bradford, Mark A.
title Data from: A test of the hierarchical model of litter decomposition
title_short Data from: A test of the hierarchical model of litter decomposition
title_full Data from: A test of the hierarchical model of litter decomposition
title_fullStr Data from: A test of the hierarchical model of litter decomposition
title_full_unstemmed Data from: A test of the hierarchical model of litter decomposition
title_sort data from: a test of the hierarchical model of litter decomposition
publisher Yale University
publishDate 2017
url https://research.wur.nl/en/datasets/data-from-a-test-of-the-hierarchical-model-of-litter-decompositio
https://doi.org/10.5061/dryad.c44h0
genre Northern Sweden
genre_facet Northern Sweden
op_relation https://edepot.wur.nl/450405
https://research.wur.nl/en/datasets/data-from-a-test-of-the-hierarchical-model-of-litter-decompositio
doi:10.5061/dryad.c44h0
op_rights info:eu-repo/semantics/openAccess
Wageningen University & Research
op_doi https://doi.org/10.5061/dryad.c44h0
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