Forest Biometry: Advancements on Theoretical and Empirical Perspectives and Contribution in Forest Management

Dear Colleagues,

Biometry is a longstanding theme in natural resource studies and plays the most fundamental role in the mathematical conceptualization of forested ecosystems. Forest biometry formulates the framework to develop a plethora of relationships describing processes, forms, and shapes across different spatial (branches, crowns, trees, stands, ecosystems) and temporal scales.

Forest biometry has regained its historical significance since the International Biological Program in 1970, through increasing scientific interest on (i) terrestrial carbon dynamics, (ii) global ecophysiological processes, (iii) the potentiality of bioenergy production, and (iv) robustly supporting the upcoming concept of climate smart forestry.

Forest biometry anticipates unparalleled challenges in terms of progressive theoretical formulations (metabolic scaling theory, fractal structure of biological systems, etc.), mathematical approaches (dimensional analysis, biomechanical models, etc.) and data analyses (e.g., non-linear modeling, Bayesian statistics, and artificial intelligence). Moreover, non-destructive sampling methods for collecting empirical datasets (i.e., terrestrial laser scanning, satellite images, and UAV datasets) have extensively been used in recent decades in forests.

Therefore, in this Special Issue we are aiming to compile theoretical and empirical studies to gain insights into advancements in the following areas:

- Interconnections between tree, stand, and ecosystem scales;

- The potentiality of implementing recent developments in statistical methods in forest ecosystems;

- New approaches to and use of tools and sensors in field data collection for forest resources.

Biometry studies on tree, stand, and forested ecosystem scales, beyond the aforementioned themes, are also welcomed for submission.

Dr. Dimitrios Zianis
Dr. Athanasios Stampoulidis
Prof. Dr. Palaiologos Palaiologou
Guest Editors

Manuscript Submission Information

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