Growth Models for Forest Stand Development Dynamics

Dear Colleagues,

Background: Forest stand dynamics analysis focuses on changes in forest structure and composition over time. In the contemporary era, understanding and modeling how forests grow is essential for enhancing their resilience and adaptability to the current unpredictable climate conditions.

Aim and scope: The aim of this Special Issue is to present cutting-edge stand dynamics modeling based on ecological principles and advanced theories and methods, with a focus on practical applications in forest management in a changing world.

History: Forest growth models have a long history of development, spanning hundreds of years. Advances in statistical science and computing technology have led to increasingly sophisticated approaches in modeling forest stand dynamics, resulting in a wide variety of growth models.

Cutting-edge-research: Advanced computational techniques, coupled with sophisticated data analytics, are revolutionizing our ability to model the complex processes governing trees and stands development. This research topic explores the integration of remote sensing technologies, artificial intelligence and machine learning algorithms to enhance the precision and scope of growth models.

Potential topics include, but are not limited to, the following:

• Size class and individual tree approaches for modeling forest growth and yield;
• Tree- and whole-stand level models;
• Ecological and process models;
• Models for incorporating the response of trees and stands to stress factors such as changing climatic conditions;
• New theories and methods for forest growth modeling.

Dr. Benedicto Vargas-Larreta
Prof. Dr. José Javier Corral-Rivas
Dr. Jorge Omar López-Martínez
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• forest growth model
• stand dynamic research
• ecological modeling
• sustainable forestry
• climate change impacts on forests
• remote sensing in forest dynamics
• machine learning algorithm
• sustainable forest management practices