Growth Dynamics of Tree Species: Measurement and Modeling

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Ecology and Management".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 338

Special Issue Editors


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Guest Editor
Campo Experimental Valle del Guadiana, CIR—Norte Centro, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias. Durango, Durango 34170, Mexico
Interests: forest management; forest biometrics; precision silviculture; forest inventory; forest statistics; applied artificial intelligence; forest modeling

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Guest Editor
Faculty of Forest Sciences, Universidad Juárez del Estado de Durango, Rio Papaloapan y bulevar Durango s/n, col. Valle del Sur, Durango 34120, Mexico
Interests: tree growth modeling; forest monitoring; climate change; ecoinformatics; forest biodiversity
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Colegio de Postgraduados en Ciencias Agricolas, Posgrado en Ciencias Forestales, Texcoco, Estado de Mexico 56230, Mexico
Interests: forest biometrics and mensuration; timber management; forest policy

Special Issue Information

Dear Colleagues,

Tree species growth dynamics focus on understanding how trees grow, develop, and interact with their environment throughout their life cycle, covering a variety of biological, ecological, and environmental processes affecting tree growth from the seedling stage to full maturity. These closely interconnected processes are crucial for gaining insights into forest dynamics, guiding sustainable management practices, and predicting how forests will adapt to environmental changes. This makes measurement and modeling vital biometric tools for understanding tree species growth dynamics within a specific forest or ecosystem and managing said ecosystem in a rapidly changing world. This Special Issue aims to showcase selected contributions on tree species growth dynamics, with a focus on applying growth dynamics models to forest management, climate change research, conservation, biodiversity, and forestry decision making.

Potential topics include but are not limited to the following:

  • Tree and stand growth dynamics models;
  • Measurement of tree growth dynamics;
  • Systems of growth and yield dynamics;
  • Climate change and tree growth dynamics;
  • Machine learning in tree species growth dynamics;
  • Applications of tree growth dynamics;
  • Forestry decision making through growth models;
  • Challenges in forest measurement and modeling.

Dr. Gerónimo Quiñónez Barraza
Prof. Dr. José Javier Corral-Rivas
Prof. Dr. Hector Manuel De Los Santos Posada
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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.

Keywords

  • growth models
  • growth dynamics
  • forest modeling
  • machine learning
  • biological, ecological, and environmental processes
  • climate change and modeling

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Published Papers

This special issue is now open for submission.
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