Using strong inference to falsify differential equation models of sugar maple height growth---Discussion

Autores/as

  • Boris Zeide Professor Emeritus, University of Arkansas, USA

Palabras clave:

cohort dynamics, Lyapunov exponent, tree questioning, chaotic models

Resumen

Leary and Johannsen (2010; Leary and Johannsen. 2010. Using strong inference to falsify differential equation models of sugar maple height growth. MCFNS 2:1-11) envision growth modeling as a search for a single precise line like those depicting the laws of physics. However, it is unlikely that such a complex process as tree growth can be captured by our simple, usually empirical models. Instead of carrying out the experiment so as to get a clean result, it may be more realistic to start with enclosing the field of growth trajectories between two boundary lines representing the two opposite explanations of a studied relationship. Understanding complex process is more likely by combining opposites rather than falsifying one of them. Then, the modules delineating the boundaries can be joint in a single model that describes a more complex and fluid central tendency.  MCFNS 2(1):12-14.

Descargas

Publicado

2010-02-28

Número

Sección

Mathematical Modeling

Cómo citar

Using strong inference to falsify differential equation models of sugar maple height growth---Discussion. (2010). Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS), 2(1), Pages: 12-14 (3). https://mcfns.com/index.php/Journal/article/view/2.2

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