Journal Article

FZJ-2018-06326

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Connecting the dots between computational tools to analyse soil-root water relations

Passot, S. ; Couvreur, V. ; Meunier, F. ; Draye, X. ; Javaux, M.FZJ* ; Leitner, D. ; Pagès, L. ; Schnepf, A.FZJ* ; Vanderborght, J.FZJ* ; Lobet, G. (Corresponding author)FZJ*

2019
Oxford Univ. Press Oxford

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Please use a persistent id in citations: http://hdl.handle.net/2128/22140  doi:10.1093/jxb/ery361

Abstract: In recent years, many computational tools, such as image analysis, data management, process-based simulation, and upscaling tools, have been developed to help quantify and understand water flow in the soil–root system, at multiple scales (tissue, organ, plant, and population). Several of these tools work together or at least are compatible. However, for the uninformed researcher, they might seem disconnected, forming an unclear and disorganized succession of tools. In this article, we show how different studies can be further developed by connecting them to analyse soil–root water relations in a comprehensive and structured network. This ‘explicit network of soil–root computational tools’ informs readers about existing tools and helps them understand how their data (past and future) might fit within the network. We also demonstrate the novel possibilities of scale-consistent parameterizations made possible by the network with a set of case studies from the literature. Finally, we discuss existing gaps in the network and how we can move forward to fill them.

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2019

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Database coverage:
; ; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Agriculture, Biology and Environmental Sciences ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; National-Konsortium ; Nationallizenz ; PubMed Central ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

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