Evidence map›Paper›PMID 37895586›Full record

ArticleEntropy (Basel, Switzerland)2023

Quantifying Soil Complexity Using Fisher Shannon Method on 3D X-ray Computed Tomography Scans.

Domingos Aguiar, Rômulo Simões Cezar Menezes, Antonio Celso Dantas Antonino, Tatijana Stosic, Ana M Tarquis, Borko Stosic

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Domingos AguiarDepartamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos, Recife 52171-900, PE, Brazil.ORCID 0000-0002-9029-7068
Rômulo Simões Cezar MenezesDepartamento de Energia Nuclear, Universidade Federal de Pernambuco, Av. Prof. Moraes Rego 1235, Cidade Universitária, Recife 50670-901, PE, Brazil.ORCID 0000-0001-8740-366X
Antonio Celso Dantas AntoninoDepartamento de Energia Nuclear, Universidade Federal de Pernambuco, Av. Prof. Moraes Rego 1235, Cidade Universitária, Recife 50670-901, PE, Brazil.ORCID 0000-0002-4120-9404
Tatijana StosicDepartamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos, Recife 52171-900, PE, Brazil.
Ana M TarquisDepartment of Applied Mathematics, ETSIAAB, Universidad Politécnica de Madrid, Av. Puerta de Hierro, n. 2-4, 28040 Madrid, Spain.ORCID 0000-0003-2336-5371
Borko StosicDepartamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Rua Dom Manoel de Medeiros s/n, Dois Irmãos, Recife 52171-900, PE, Brazil.ORCID 0000-0001-5031-6968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conversion of native forest into agricultural land, which is common in many parts of the world, poses important questions regarding soil degradation, demanding further efforts to better understand the effect of land use change on soil functions. With the advent of 3D computed tomography techniques and computing power, new methods are becoming available to address this question. In this direction, in the current work we implement a modification of the Fisher-Shannon method, borrowed from information theory, to quantify the complexity of twelve 3D CT soil samples from a sugarcane plantation and twelve samples from a nearby native Atlantic forest in northeastern Brazil. The distinction found between the samples from the sugar plantation and the Atlantic forest site is quite pronounced. The results at the level of 91.7% accuracy were obtained considering the complexity in the Fisher-Shannon plane. Atlantic forest samples are found to be generally more complex than those from the sugar plantation.

Indexed as

complexityFisher Shannon planeland use changeX-ray CT scan soil samples

Identifiers

PMID37895586
PMCPMC10606068

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.