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EDITORIAL article

Front. For. Glob. Change, 05 June 2023
Sec. Forest Management
This article is part of the Research Topic Forest species and stands regeneration View all 5 articles

Editorial: Forest species and stands regeneration

  • 1Department of Forestry Sciences and Landscape Architecture (CIFAP), University of Trás-os-Montes and Alto Douro, Vila Real, Portugal
  • 2Forest Research Centre (CEF), School of Agriculture, University of Lisbon, Tapada da Ajuda, Lisboa, Portugal
  • 3MED - Mediterranean Institute for Agriculture, Environment and Development & CHANGE - Global Change and Sustainability Institute, Instituto de Investigação e Formação Avançada, Departamento de Engenharia Rural, Escola de Ciências e Tecnologia, Universidade de Évora, Évora, Portugal

Editorial on the Research Topic
Forest species and stands regeneration

Forests are essential for maintaining the balance of the Earth's ecosystem, regulating climate, providing clean air and water, and supporting biodiversity. SDG15, also known as the “Life on Land” goal, aims to protect, restore and promote the sustainable use of terrestrial ecosystems, including forests, to ensure their inherently valuable characteristics and the provision of ecosystem services. The regeneration of forests is fundamental to achieving this goal.

Studying regeneration patterns, factors fostering regeneration, and those constraining it is fundamental to understanding the dynamics at the early stages of forest development and supporting adaptive management measures.

Up-to-date knowledge of the crown cover (percent of the horizontal crown projection in relation to a ground area) is essential, with periodic monitoring and assessments to identify species composition, damages and losses or to control afforestation and deforestation changes or succession dynamics. These assessments aim to be increasingly expeditious but still guarantee high classification accuracy. Melnyk et al. investigate the combination of open geographic information systems and remote sensing data and describe in this special issue methods of unsupervised and supervised classification to map forest species using as a case study of Volyn region in Ukraine. The use of Machine Learning algorithms for classification is recognized. It will get increasingly more accurate results with the high spatial resolution of current open remote sensing data and developments in Data Science.

Forest regeneration can be achieved through various methods, including natural regeneration, assisted natural regeneration, and plantation. Natural regeneration involves allowing forests to regrow naturally from seeds or sprouts, while assisted natural regeneration and artificial involves using management practices (e.g., seeding to facilitate regeneration and seedling planting) to ensure the maintenance, the restoration of forests that have been lost or degraded or the creation of new forests through afforestation. Gonçalves and Fonseca comprehensively review methods to regenerate high forest stands and analyze the management factors and disturbances that favor or constrain the regeneration process.

Promoting the regeneration process requires knowledge of the appropriate silvicultural systems (e.g., clear-cut, shelterwood and selection) or the harvest practices for a given species or group of species. Effective choices adequate to the species' traits are required to promote natural regeneration success. Crucial factors affecting the regeneration and growth of the forest species are soil and water resources and availability of light, the degree of which depends on the species tolerance to shadow. Original research on the effect of gap-based silvicultural systems on tree regeneration is presented by Schnake et al.. The authors highlight the importance of a priori considering gap size, structure and composition of the forests, site quality and harvest criteria when implementing group selection harvesting to emulate canopy gap formation following disturbances.

Evaluation of the quantity and quality of the seedlings/saplings is vital to ensure the forests' sustainability. Although the former is a traditionally adopted methodology based on the number of live and dead individuals, studies involving characteristics for assessing plant viability have been less common in field monitoring. Gouveia-Barrocas and Gonçalves present original research on methodology to assess the quality traits of natural regeneration for holm oak. The authors propose a classification method, expressed as an index, that considers the influence of the upper story, the degree of crown isolation, the tree habit, and the individuals' height and diameter sizes. The index details the potential for recruiting individuals with desired traits to the main stand. It allows the identification of specific silvicultural practices' needs, such as pruning and thinning. The authors suggest the enlargement of the index to other forest inventories of saplings in naturally regenerated stands.

Studying forest regeneration dynamics is fundamental to understanding the early stages of stand development. The factors associated with regeneration, such as planned management interventions, abiotic (fires, storms, climate change) and biotic (pests and diseases), play a key role in its success. Therefore, knowledge of the process and its monitoring is essential to maintaining (or promoting) the forest's sustainability and production and conceiving appropriate adaptive management actions, which helps ensure successful forest development.

Author contributions

TF and AG contributed to the editorial preparation, writing, and revision. Both authors read and approved the submitted version.

Funding

This work was funded by National Funds through FCT–Foundation for Science and Technology under the Project UIDB/05183/2020 for AG and UIDB/00239/2020 for TF, through the Forest Research Centre.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: regeneration, plant production, disturbances, harvest, assessment of plant viability, forest species classification

Citation: Fidalgo Fonseca T and Gonçalves AC (2023) Editorial: Forest species and stands regeneration. Front. For. Glob. Change 6:1208267. doi: 10.3389/ffgc.2023.1208267

Received: 18 April 2023; Accepted: 18 May 2023;
Published: 05 June 2023.

Edited and reviewed by: Manfred J. Lexer, University of Natural Resources and Life Sciences Vienna, Austria

Copyright © 2023 Fidalgo Fonseca and Gonçalves. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Teresa Fidalgo Fonseca, tfonseca@utad.pt; Ana Cristina Gonçalves, acag@uevora.pt

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.