An allometry-based approach for understanding forest structure, predicting tree-size distribution and assessing the degree of disturbance

Author:

Anfodillo Tommaso1,Carrer Marco1,Simini Filippo23,Popa Ionel4,Banavar Jayanth R.5,Maritan Amos6

Affiliation:

1. Dipartimento Territorio e Sistemi Agro-Forestali, University of Padova, 35020 Legnaro, Italy

2. Department of Physics and Center for Complex Network Research, Northeastern University, Boston, MA 02115, USA

3. Institute of Physics, Budapest University of Technology and Economics, Budapest 1111, Hungary

4. Forest Research and Management Institute, Campulung Moldovenesc, Romania

5. Department of Physics, University of Maryland, College Park, MD 20742, USA

6. Dipartimento di Fisica ‘G. Galilei’, University of Padova, CNISM and INFN, 35131 Padova, Italy

Abstract

Tree-size distribution is one of the most investigated subjects in plant population biology. The forestry literature reports that tree-size distribution trajectories vary across different stands and/or species, whereas the metabolic scaling theory suggests that the tree number scales universally as −2 power of diameter. Here, we propose a simple functional scaling model in which these two opposing results are reconciled. Basic principles related to crown shape, energy optimization and the finite-size scaling approach were used to define a set of relationships based on a single parameter that allows us to predict the slope of the tree-size distributions in a steady-state condition. We tested the model predictions on four temperate mountain forests. Plots (4 ha each, fully mapped) were selected with different degrees of human disturbance (semi-natural stands versus formerly managed). Results showed that the size distribution range successfully fitted by the model is related to the degree of forest disturbance: in semi-natural forests the range is wide, whereas in formerly managed forests, the agreement with the model is confined to a very restricted range. We argue that simple allometric relationships, at an individual level, shape the structure of the whole forest community.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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