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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Online Access: | https://doi.org/10.5061/dryad.c44h0 http://library.wur.nl/WebQuery/wurpubs/537616 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::4f4a0d2c1f94c6f148c254fcac4915b8 2023-05-15T17:45:06+02:00 Data from: A test of the hierarchical model of litter decomposition Bradford, Mark A. Veen, G. F. Bonis, Anne Bradford, Ella M. Classen, Aimee T. Cornelissen, J. Hans C. Crowther, Thomas W. De Long, Jonathan R. Freschet, Gregoire T. Kardol, Paul Manrubia-Freixa, Marta Maynard, Daniel S. Newman, Gregory S. Van Logtestijn, Richard S. P. Viketoft, Maria Wardle, David A. Wieder, William R. Wood, Stephen A. Van Der Putten, Wim H. 2017-01-01 https://doi.org/10.5061/dryad.c44h0 http://library.wur.nl/WebQuery/wurpubs/537616 undefined unknown http://dx.doi.org/10.5061/dryad.c44h0 http://library.wur.nl/WebQuery/wurpubs/537616 https://dx.doi.org/10.5061/dryad.c44h0 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:98758 oai:easy.dans.knaw.nl:easy-dataset:98758 wurdata:oai:library.wur.nl:wurpubs/537616 10.5061/dryad.c44h0 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::fdb035c8b3e0540a8d9a561a6c44f4de 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 Life sciences medicine and health care carbon cycling ecological fallacy ecosystem processes experimental design microbial biomass pattern and scale scaling theory soil biogeochemical models variability Sweden France Denmark Netherlands envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2017 fttriple https://doi.org/10.5061/dryad.c44h0 2023-01-22T16:51:26Z 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. Data from: Testing the hierarchical model of litter decompositionAll litter decomposition data, data on measured controlling variables, and treatment identifiers. The ReadMe text file describes the variables for all 52 columns of data.BradfordVeenLitDecompDATA.csvStatistical code used to analyze the data from: Testing the hierarchical model of litter decompositionAll R code used to analyze the data presented in the Bradford, Veen et al. manuscript titled, "Testing the hierarchical model of litter decomposition". Please also see the ReadMe file associated with the data for descriptions of the full data and code ... Dataset Northern Sweden Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care carbon cycling ecological fallacy ecosystem processes experimental design microbial biomass pattern and scale scaling theory soil biogeochemical models variability Sweden France Denmark Netherlands envir geo |
spellingShingle |
Life sciences medicine and health care carbon cycling ecological fallacy ecosystem processes experimental design microbial biomass pattern and scale scaling theory soil biogeochemical models variability Sweden France Denmark Netherlands envir geo Bradford, Mark A. Veen, G. F. Bonis, Anne Bradford, Ella M. Classen, Aimee T. Cornelissen, J. Hans C. Crowther, Thomas W. De Long, Jonathan R. Freschet, Gregoire T. Kardol, Paul Manrubia-Freixa, Marta Maynard, Daniel S. Newman, Gregory S. Van Logtestijn, Richard S. P. Viketoft, Maria Wardle, David A. Wieder, William R. Wood, Stephen A. Van Der Putten, Wim H. Data from: A test of the hierarchical model of litter decomposition |
topic_facet |
Life sciences medicine and health care carbon cycling ecological fallacy ecosystem processes experimental design microbial biomass pattern and scale scaling theory soil biogeochemical models variability Sweden France Denmark Netherlands envir geo |
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. Data from: Testing the hierarchical model of litter decompositionAll litter decomposition data, data on measured controlling variables, and treatment identifiers. The ReadMe text file describes the variables for all 52 columns of data.BradfordVeenLitDecompDATA.csvStatistical code used to analyze the data from: Testing the hierarchical model of litter decompositionAll R code used to analyze the data presented in the Bradford, Veen et al. manuscript titled, "Testing the hierarchical model of litter decomposition". Please also see the ReadMe file associated with the data for descriptions of the full data and code ... |
format |
Dataset |
author |
Bradford, Mark A. Veen, G. F. Bonis, Anne Bradford, Ella M. Classen, Aimee T. Cornelissen, J. Hans C. Crowther, Thomas W. De Long, Jonathan R. Freschet, Gregoire T. Kardol, Paul Manrubia-Freixa, Marta Maynard, Daniel S. Newman, Gregory S. Van Logtestijn, Richard S. P. Viketoft, Maria Wardle, David A. Wieder, William R. Wood, Stephen A. Van Der Putten, Wim H. |
author_facet |
Bradford, Mark A. Veen, G. F. Bonis, Anne Bradford, Ella M. Classen, Aimee T. Cornelissen, J. Hans C. Crowther, Thomas W. De Long, Jonathan R. Freschet, Gregoire T. Kardol, Paul Manrubia-Freixa, Marta Maynard, Daniel S. Newman, Gregory S. Van Logtestijn, Richard S. P. Viketoft, Maria Wardle, David A. Wieder, William R. Wood, Stephen A. Van Der Putten, Wim 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 |
publishDate |
2017 |
url |
https://doi.org/10.5061/dryad.c44h0 http://library.wur.nl/WebQuery/wurpubs/537616 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:98758 oai:easy.dans.knaw.nl:easy-dataset:98758 wurdata:oai:library.wur.nl:wurpubs/537616 10.5061/dryad.c44h0 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::fdb035c8b3e0540a8d9a561a6c44f4de 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 |
op_relation |
http://dx.doi.org/10.5061/dryad.c44h0 http://library.wur.nl/WebQuery/wurpubs/537616 https://dx.doi.org/10.5061/dryad.c44h0 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.c44h0 |
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1766147859738001408 |