Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1007/s11104-016-2872-7
Title (Primary) Challenges in imaging and predictive modeling of rhizosphere processes
Author Roose, T.; Keyes, S.D.; Daly, K.R.; Carminati, A.; Otten, W.; Vetterlein, D.; Peth, S.
Source Titel Plant and Soil
Year 2016
Department BOPHY
Volume 407
Issue 1
Page From 9
Page To 38
Language englisch
Keywords Rhizosphere; Mathematical modeling; X-ray CT; Chemical mapping; Correlative imaging
UFZ wide themes RU1
Abstract

Background

Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management practices will affect these interactions.

Scope

In this paper we review the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. We outline areas that need more research and areas which would benefit from more detailed understanding.

Conclusions

We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil. We emphasize the need for more researchers to be attracted to this area that is so fertile for future discoveries. Finally, model building must go hand in hand with experiments. In particular, there is a real need to integrate rhizosphere structural and chemical imaging with modeling for better understanding of the rhizosphere processes leading to models which explicitly account for pore scale processes.

Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=17449
Roose, T., Keyes, S.D., Daly, K.R., Carminati, A., Otten, W., Vetterlein, D., Peth, S. (2016):
Challenges in imaging and predictive modeling of rhizosphere processes
Plant Soil 407 (1), 9 - 38 10.1007/s11104-016-2872-7