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Deciphering spatiotemporal patterns of rhizodeposition with a functional-structural root model: RhizoDep
Abstract Rhizodeposition, i.e. the release of organic matters by roots, constitutes a significant fraction of the plant carbon (C) budget and plays a key role in soil-plant interactions. However, its spatial and temporal dynamics remain poorly understood. We developed RhizoDep, a new functional-structural root model that simulates 3D root growth, respiration, and rhizodeposition based on C balance and root morphology at the individual root segment level.
A global dataset gathering 37 field experiments involving cereal-legume intercrops and their corresponding sole crops.
The overall description of the dataset is reported in the data_report.pdf file. The methodology for data curation and tidying is published in Peer Community Journal (Mahmoud2024). This dataset gathers the results of 37 field experiments, which involved cereal-legume intercrops and their corresponding sole crops. The field experiments were carried in 5 European countries (France, Denmark, Italy, Germany and England) from 2001 to 2017.
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