Evidence map›Paper›PMID 41764216›Full record

ArticleScientific reports2026

Topographic modulation of soil functional indicators in shaded coffee agroforestry systems: a multivariate and network-based approach.

Cristiane Maria Gonçalves Crespo, Victor Casimiro Piscoya, Robson Carlos Pereira de Melo, Ludmilla Morais Pereira, Luiz Diego Vidal Santos, Francisco Sandro Rodrigues Holanda, Alceu Pedrotti, Savanna Alice Botelho da Silva, Moacyr Cunha Filho, Renisson Neponuceno de Araújo Filho

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Cristiane Maria Gonçalves CrespoPrograma de Pós Graduação em Engenharia Ambiental, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil.ORCID http://orcid.org/0000-0002-2002-9105
Victor Casimiro PiscoyaDepartamento de Tecnologia Rural, Universidade Federal Rural de Pernambuco, Recife, PE, Brasil.ORCID http://orcid.org/0000-0003-1875-9771
Robson Carlos Pereira de MeloPrograma de Pós Graduação em Engenharia Ambiental, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil.ORCID http://orcid.org/0000-0003-4594-5748
Ludmilla Morais PereiraPrograma de Pós Graduação em Ciências Florestais e Ambientais, Universidade Federal do Tocantins, Gurupi, TO, Brazil.ORCID http://orcid.org/0000-0001-9684-3288
Luiz Diego Vidal SantosDepartamento de Ciencias Humanas e Filosofia, Universidade Estadual de Feira de Santana, Feira de Santana, BA, Brazil. ldvsantos@uefs.br.ORCID http://orcid.org/0000-0001-8659-8557
Francisco Sandro Rodrigues HolandaDepartamento de Engenharia Agronômica, Universidade Federal de Sergipe, São Cristóvão, SE, Brazil.ORCID http://orcid.org/0000-0001-6812-6679
Alceu PedrottiDepartamento de Engenharia Agronômica, Universidade Federal de Sergipe, São Cristóvão, SE, Brazil.ORCID http://orcid.org/0000-0003-3086-8399
Savanna Alice Botelho da SilvaPrograma de Pós Graduação em Ciências Florestais e Ambientais, Universidade Federal do Tocantins, Gurupi, TO, Brazil.ORCID http://orcid.org/0009-0006-5740-8295
Moacyr Cunha FilhoDepartamento de Estatística e Informática, Universidade Federal Rural de Pernambuco, Recife, PE, Brazil.ORCID http://orcid.org/0000-0002-3466-8143
Renisson Neponuceno de Araújo FilhoDepartamento de Tecnologia Rural, Universidade Federal Rural de Pernambuco, Recife, PE, Brasil.ORCID http://orcid.org/0000-0002-9747-1276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil is the world's leading coffee producer and increasingly adopts shaded agroforestry systems to enhance sustainability. However, the influence of topography on soil functionality within these systems remains insufficiently understood. This study evaluated soil physical and chemical properties across slope positions (Upper, Middle, and Lower Thirds) and depths (0-60 cm) in a shaded coffee agroforestry system using multivariate statistics and Bayesian network modeling. Results revealed that upper slope positions exhibited greater macroporosity (15-20%) and lower bulk density (1.10-1.15 g cm⁻

Indexed as

Landscape gradientsOrganic carbonPrincipal componentsSoil variability

Identifiers

PMID41764216
PMCPMC13057021

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.