Details
Original language | English |
---|---|
Pages (from-to) | 9-38 |
Number of pages | 30 |
Journal | Plant and soil |
Volume | 407 |
Issue number | 1-2 |
Publication status | Published - 1 Oct 2016 |
Externally published | Yes |
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.
Keywords
- Chemical mapping, Correlative imaging, Mathematical modeling, Rhizosphere, X-ray CT
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Soil Science
- Agricultural and Biological Sciences(all)
- Plant Science
Sustainable Development Goals
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In: Plant and soil, Vol. 407, No. 1-2, 01.10.2016, p. 9-38.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Challenges in imaging and predictive modeling of rhizosphere processes
AU - Roose, T.
AU - Keyes, S. D.
AU - Daly, K. R.
AU - Carminati, A.
AU - Otten, W.
AU - Vetterlein, D.
AU - Peth, S.
N1 - Publisher Copyright: © 2016, The Author(s).
PY - 2016/10/1
Y1 - 2016/10/1
N2 - 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.
AB - 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.
KW - Chemical mapping
KW - Correlative imaging
KW - Mathematical modeling
KW - Rhizosphere
KW - X-ray CT
UR - http://www.scopus.com/inward/record.url?scp=84964061253&partnerID=8YFLogxK
U2 - 10.1007/s11104-016-2872-7
DO - 10.1007/s11104-016-2872-7
M3 - Review article
AN - SCOPUS:84964061253
VL - 407
SP - 9
EP - 38
JO - Plant and soil
JF - Plant and soil
SN - 0032-079X
IS - 1-2
ER -