@incollection{fdi:010086190,
  title = {{I}ntegrating {X}-ray {CT} data into models},
  author = {{P}ortell, {X}. and {P}ot, {V}. and {E}brahimi, {A}. and {M}onga, {O}livier and {R}oose, {T}.},
  editor = {},
  language = {{ENG}},
  abstract = {{X}-ray {C}omputed {T}omography ({X}-ray {CT}) offers important 4-{D} (i.e., 3-{D} scanning over time) structural information of the soil architecture. {T}his imaging tool provides access to the 3-{D} morphological properties of the soil pore space such as the 3-{D} connectivity of pores that are essential to the understanding of water, solute, and gas transport processes. {O}ther morphological properties such as pore-size distribution, specific surface area, or spatial heterogeneity of soil can be obtained from the {X}-ray {CT} images. {M}any studies have used this technique to better understand the evolution of macroscopic soil physical properties such as structural stability and relate it to spatial descriptors of soil pore space morphology when the soil undergoes wetting/drying cycles (e.g., {D}iel et al., 2019) or when it is subjected to different agricultural practices (e.g., {P}apadopoulos et al., 2009; {D}al {F}erro et al., 2013; {C}aplan et al., 2017). {N}on-equilibrium transfer processes, such as preferential transport, have also been related to the quantification of macropores in {X}-ray {CT} images (e.g., {L}arsbo et al., 2014; {K}atuwal et al., 2015; {S}oto-{G}ómez et al., 2018). {I}n addition, {X}-ray {CT} data have proved particularly useful for reconstructing the skeletons of biopore networks, such as those burrowed by earthworms ({C}apowiez et al., 1998), and for monitoring their temporal dynamics ({J}oschko et al., 1993) (see {C}hap. 10). {T}he role of air-filled soil pores and in particular their connectivity in 3-{D} in the transport of microbial-generated gaseous products ({N}2{O}, {CO}2) have been hypothesized ({R}abot et al., 2015; {P}orre et al., 2016). {X}-ray {CT} data have also provided new knowledge about the 3-{D} architecture of root systems (e.g., {H}elliwell et al., 2013) and their impact on the 3-{D} soil architecture (see {C}hap. 9). {F}or instance, root hairs were shown to modify the pore-size distribution and connectivity in the rhizosphere (e.g., {K}eyes et al., 2013; {K}oebernick et al., 2017, 2019). {X}-ray {CT} measurements have also allowed imaging aerenchymatous roots and the gas bubbles entrapped in the soil of rice paddies to explain transport of {CO}2 and {O}2 between roots and the atmosphere ({K}irk et al., 2019). {T}he dynamics of the spatial dispersion of soil microorganisms could be related to the 3-{D} description of the pore space obtained by {X}-ray {CT} ({J}uyal et al., 2020). {T}he role of some pore-size classes could also be linked with soil carbon storage ({K}ravchenko et al., 2020) (see {C}hap. 10).},
  keywords = {},
  booktitle = {{X}-ray imaging of the soil porous architecture},
  numero = {},
  pages = {183--222},
  address = {},
  publisher = {{S}pringer},
  series = {},
  year = {2022},
  DOI = {10.1007/978-3-031-12176-0_11},
  ISBN = {978-3-031-12175-3},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086190},
}