Models for predicting microfibril angle variation in Scots pine

By David Auty, Barry Gardiner, Alexis Achim, John R Moore, A. Cameron. Annals of Forest Science, 2012

67 citations recorded by the source corpus.

Subfields: Building and Construction, Mechanical Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/8569945cd6ed94d271822b2c0a1d797fbe1815b5

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. L. Apiolaza
2. John R Moore
3. L. Schimleck
4. Barry Gardiner
5. A. Cameron
6. David Auty
7. R. Evans
8. Alexis Achim

In Mechanical Engineering

1. Alexis Achim
2. Barry Gardiner
3. A. Cameron
4. John R Moore
5. David Auty
6. L. Apiolaza
7. Xiping Wang
8. R. Evans

In Nature and Landscape Conservation

1. Alexis Achim
2. L. Schimleck
3. L. Apiolaza
4. Barry Gardiner
5. R. Evans
6. David Auty
7. John R Moore
8. A. Cameron

Citations in the corpus

• Non-Destructive Evaluation Techniques and What They Tell Us about Wood Property Variation (2019, background): “Modeling efforts have typically excluded samples with compression wood as radial patterns are very different from normal wood [10].”
• Models for predicting wood density variation in Scots pine (2014, methodology): “In this way, parameter estimates were allowed to vary randomly around their mean values at the different grouping levels of site, tree and disc (Auty et al., 2013).”