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KNAW Pure
Dataset
Data sources: KNAW Pure
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ZENODO
Dataset . 2018
License: CC 0
Data sources: ZENODO
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Research@WUR
Dataset . 2017
Data sources: Research@WUR
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DRYAD
Dataset . 2018
License: CC 0
Data sources: Datacite
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Data from: A test of the hierarchical model of litter decomposition

Authors: Bradford, Mark A.; Veen, G. F.; Bonis, Anne; Bradford, Ella M.; Classen, Aimee T.; Cornelissen, J. Hans C.; Crowther, Thomas W.; +12 Authors

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

Abstract

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 package.BradfordVeenLitDecompCODE.txt

Country
Netherlands
Keywords

experimental design, microbial biomass, variability, ecological fallacy, pattern and scale, Verwerkte data, soil biogeochemical models, carbon cycling, scaling theory, Ecosystem processes, Scaling theory, Processed data, ecosystem processes

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selected citations
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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).
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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.
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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.
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