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@ARTICLE{Vetterlein:878666,
author = {Vetterlein, Doris and Carminati, Andrea and Kögel-Knabner,
Ingrid and Bienert, Gerd Patrick and Smalla, Kornelia and
Oburger, Eva and Schnepf, Andrea and Banitz, Thomas and
Tarkka, Mika Tapio and Schlüter, Steffen},
title = {{R}hizosphere {S}patiotemporal {O}rganization–{A} {K}ey
to {R}hizosphere {F}unctions},
journal = {Frontiers in agronomy},
volume = {2},
issn = {2673-3218},
address = {Lausanne},
publisher = {Frontiers Media},
reportid = {FZJ-2020-02987},
pages = {8},
year = {2020},
abstract = {Resilience of soils, i.e., their ability to maintain
functions or recover after disturbance, is closely linked to
the root-soil interface, the soil's power house. However,
the limited observability of key processes at the root-soil
interface has so far limited our understanding of how such
resilience emerges. Here, we hypothesize that resilience
emerges from self-organized spatiotemporal patterns which
are the result of complex and dynamic feedbacks between
physical, chemical, and biological processes occurring in
the rhizosphere. We propose that the combination of modern
experimental and modeling techniques, with a focus on
imaging approaches, allows for understanding the complex
feedbacks between plant resource acquisition,
microbiome-related plant health, soil carbon sequestration,
and soil structure development. A prerequisite for the
identification of patterns, underlying processes, and
feedback loops is that joint experimental platforms are
defined and investigated in their true 2D and 3D geometry
along time. This applies across different scientific
disciplines from soil physics/chemistry/microbiology to
plant genomics/physiology and across different scales from
the nano/microscopic scale of the root soil interface, over
the radial profiles around single roots, up to the root
architecture and plant scale. Thus, we can move beyond
isolated reductionist approaches which have dominated in
rhizosphere research so far.},
cin = {IBG-3},
ddc = {630},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001010473000001},
doi = {10.3389/fagro.2020.00008},
url = {https://juser.fz-juelich.de/record/878666},
}