Lacunarity of soil macropore space arrangement of CT images: Effect of soil management and depth

Martínez, Fernando San José; Caniego, F. J.; García-Gutiérrez, Carlos

doi:10.1016/j.geoderma.2016.09.007

Cited by 17 publications

(7 citation statements)

References 23 publications

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“…These findings are reinforced by studies that have used lacunarity and soil tomography images and which have detected different patterns of lacunarity in macro soil soils at depths of 15 cm and 60 cm (F. S. J. Martínez et al, 2017). Other studies have verified that there are distinct patterns of lacunarity in different structures of macroporous soils, establishing it as a tool that detects different soil structures and that is useful for determining if there is self-similarity and a definable representative elemental volume for a porous medium (Luo & Lin, 2009).…”

Section: Multivariate Analysis Validationmentioning

confidence: 78%

“…In the context of soil studies, lacunarity has been used for many purposes: to study soil bulk density from 2D CT data (Zeng, Payton, Gantzer, & Anderson, 1996), to explore management effects on intra-aggregate pore geometry in 2D binary images (Chun, Giménez, & Yoon, 2008) and to analyze the soil macropore network and solute transport patterns with 3D CT binary images (Luo & Lin, 2009) and soil macropore space arrangement of CT images (Martínez, Caniego, & García-Gutiérrez, 2017) and scaling properties of binary and greyscale images (Torre, Martín-Sotoca, Losada, López, & Tarquis, 2020).…”

Section: Introductionmentioning

confidence: 99%

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3D soil void space lacunarity as an index of degradation after land use change

et al. 2020

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In this work, lacunarity analysis is performed on soil pores segmented by the pure voxel extraction method from soil tomography images. The conversion of forest to sugarcane plantation was found to result in higher sugarcane soil pore lacunarity than that of native forest soil, while the porosity was found to be lower. More precisely, this study shows that native forest has more porous soil with a more uniform spatial distribution of pores, while sugarcane soil has lower porosity and a more heterogeneous pore distribution. Moreover, validation through multivariate statistics demonstrates that lacunarity can be considered a relevant index of clustering and can explain the variability among soils under different land use systems. While porosity by itself represents a fundamental concept for quantification of the impact of land use change, the current findings demonstrate that the spatial distribution of pores also plays an important role and that pore lacunarity can be adopted as a complementary tool in studies directed at quantifying the effect of human intervention on soils.

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Section: Multivariate Analysis Validationmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

3D soil void space lacunarity as an index of degradation after land use change

et al. 2020

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“…Reconstructions of the soil pore volumes inside columns can be seen in Figure 1. More detailed information can be found in San José Martínez et al (2017).…”

Section: Methodsmentioning

confidence: 99%

Minkowski Functionals of Connected Soil Porosity as Indicators of Soil Tillage and Depth

Martínez

Martı́n

García-Gutiérrez

2018

Front. Environ. Sci.

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We made use of 3D tomograms from X-ray computed tomography of soil samples from a vineyard in La Rioja (Spain), to explore the ability of Minkowski functionals of connected soil pore space to discriminate between different pore space geometries coming from soils with different management and depth and that, a priori, are expected to have some degree of dissimilarity. We estimate the volume of the connected pore space (V), the surface of the interface soil/void (S), the accumulated mean curvature of that interface (C), and its connectivity (E) out of 3D binary images taken from samples of two different depths of soil where two different managements were undertaken. Logit model showed that V, S, and C are needed to predict soil management and only V is required to infer depths. In our limited experimental circumstances, where we just explain two soil features, it seems natural that not all the four functionals are related to or needed to explain the variety of considered cases of soil structures. Therefore, this could not be an argument to dismiss Minkowski functionals as good candidates as predictors of the geometric structure of soil pore space. Our results suggest just the opposite, and they can be used as discriminants for a wide variety of soil features and behaviors.

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“…Reiterating these same messages, Young et al (2001) argue that “an investigation of discrete aggregates or distributions of aggregates does not offer any spatial information. Functional traits of soil structure, at all scales, rely on the connectivity, tortuosity, and heterogeneity of pore space in 3D.” The same message is echoed in the recent thorough review of the literature by Rabot et al (2018) , who conclude that “although appealing, the aggregate perspective does not seem to be the most appropriate to link soil structure with soil functions and processes.” Because of the historically close connection between “soil structure” and aggregates, Young et al (2001) propose to drop the expression of “soil structure” in favor of that, less history-laden, of “soil architecture.” This terminology has been routinely adopted since (e.g., Baveye, 2006 ; Lin et al, 2010 ; de Jonge et al, 2012 ; Lin, 2012 ; Bouckaert et al, 2013a , b ; Cazelles et al, 2013 ; Helliwell et al, 2013 ; Kravchenko and Guber, 2017 ; San José Martínez et al, 2017 ) and will be used consistently in the following.…”

Section: Progress On the Physical Frontmentioning

confidence: 99%

“…This vision of fractal geometry has since been confronted with the reality that a single dimension, whose value turns out to be itself scale- and resolution-dependent, does not suffice. As explained by Mandelbrot from the start, at least one other parameter, either the lacunarity (e.g., Pendleton et al, 2005 ; San José Martínez et al, 2017 ) or the succolarity ( de Melo and Conci, 2013 ) is required to obtain an accurate description. Since the lacunarity ( Pendleton et al, 2005 ) and likely also the succolarity are affected by the resolution of images, it is not clear at this point whether fractal geometry still offers much interest.…”

Section: Progress On the Physical Frontmentioning

confidence: 99%

Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain

et al. 2018

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Over the last 60 years, soil microbiologists have accumulated a wealth of experimental data showing that the bulk, macroscopic parameters (e.g., granulometry, pH, soil organic matter, and biomass contents) commonly used to characterize soils provide insufficient information to describe quantitatively the activity of soil microorganisms and some of its outcomes, like the emission of greenhouse gasses. Clearly, new, more appropriate macroscopic parameters are needed, which reflect better the spatial heterogeneity of soils at the microscale (i.e., the pore scale) that is commensurate with the habitat of many microorganisms. For a long time, spectroscopic and microscopic tools were lacking to quantify processes at that scale, but major technological advances over the last 15 years have made suitable equipment available to researchers. In this context, the objective of the present article is to review progress achieved to date in the significant research program that has ensued. This program can be rationalized as a sequence of steps, namely the quantification and modeling of the physical-, (bio)chemical-, and microbiological properties of soils, the integration of these different perspectives into a unified theory, its upscaling to the macroscopic scale, and, eventually, the development of new approaches to measure macroscopic soil characteristics. At this stage, significant progress has been achieved on the physical front, and to a lesser extent on the (bio)chemical one as well, both in terms of experiments and modeling. With regard to the microbial aspects, although a lot of work has been devoted to the modeling of bacterial and fungal activity in soils at the pore scale, the appropriateness of model assumptions cannot be readily assessed because of the scarcity of relevant experimental data. For significant progress to be made, it is crucial to make sure that research on the microbial components of soil systems does not keep lagging behind the work on the physical and (bio)chemical characteristics. Concerning the subsequent steps in the program, very little integration of the various disciplinary perspectives has occurred so far, and, as a result, researchers have not yet been able to tackle the scaling up to the macroscopic level. Many challenges, some of them daunting, remain on the path ahead. Fortunately, a number of these challenges may be resolved by brand new measuring equipment that will become commercially available in the very near future.

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Lacunarity of soil macropore space arrangement of CT images: Effect of soil management and depth

Cited by 17 publications

References 23 publications

3D soil void space lacunarity as an index of degradation after land use change

3D soil void space lacunarity as an index of degradation after land use change

Minkowski Functionals of Connected Soil Porosity as Indicators of Soil Tillage and Depth

Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain

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