Evidence map›Paper›PMID 36177130›Full record

ArticleEcology and evolution2022

Discrete element models for understanding the biomechanics of fossorial animals.

Hao Gong, Joash B Adajar, Léa Tessier, Shuai Li, Leno Guzman, Ying Chen, Long Qi

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 53% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Corrigendum.Ecology and evolution · 2022
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Hao GongCollege of Engineering, South China Agricultural University Guangzhou Guangdong Province P. R. China.
Joash B AdajarGuangdong Laboratory for Lingnan Modern Agriculture Guangzhou Guangdong Province P. R. China.
Léa TessierDepartment of Biological Science University of Manitoba Winnipeg Manitoba Canada.
Shuai LiCollege of Engineering, South China Agricultural University Guangzhou Guangdong Province P. R. China.
Leno GuzmanDepartment of Biosystems Engineering University of Manitoba Winnipeg Manitoba Canada.
Ying ChenDepartment of Biosystems Engineering University of Manitoba Winnipeg Manitoba Canada.ORCID https://orcid.org/0000-0002-7045-0854
Long QiCollege of Engineering, South China Agricultural University Guangzhou Guangdong Province P. R. China.ORCID https://orcid.org/0000-0002-7987-8929
South China Agricultural University · CNUniversity of Manitoba · CAKey Laboratory of Guangdong Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The morphological features of fossorial animals have continuously evolved in response to the demands of survival. However, existing methods for animal burrowing mechanics are not capable of addressing the large deformation of substrate. The discrete element method (DEM) is able to overcome this limitation. In this study, we used DEM to develop a general model to simulate the motion of an animal body part and its interaction with the substrate. The DEM also allowed us to easily change the forms of animal body parts to examine how those different forms affected the biomechanical functions. These capabilities of the DEM were presented through a case study of modeling the burrowing process of North American Badger. In the case study, the dynamics (forces, work, and soil displacements) of burrowing were predicted for different forms of badger claw and manus, using the model. Results showed that when extra digits are added to a manus, the work required for a badger to dig increases considerably, while the mass of soil dug only increases gradually. According to the proposed efficiency index (ratio of the amount of soil dug to the work required), the modern manus with 5 digits has indeed biomechanical advantage for their fossorial lifestyle, and the current claw curvature (25.3 mm in radius) is indeed optimal. The DEM is able to predict biomechanical relationships between functions and forms for any fossorial animals. Results can provide biomechanical evidences for explaining how the selective pressures for functions influence the morphological evolution in fossorial animals.

Indexed as

badgerbiomechanicsburrowingdiscrete element method (DEM)soil

Identifiers

PMID36177130
PMCPMC9481867
OpenAlexW4296181708

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.