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Forests
Special Issues
Forest Growth Modeling in Different Ecological Conditions
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Forest Growth Modeling in Different Ecological Conditions

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: 25 October 2024 | Viewed by 2082

Special Issue Editors

Dr. María Menéndez-Miguélez

E-Mail Website
Guest Editor
Instituto de Ciencias Forestales (ICIFOR-INIA), CSIC, Crta. La Coruña km 7.5, 28040 Madrid, Spain
Interests: climate change; biomass; new technologies
Dr. Admir Avdagic

E-Mail Website
Guest Editor
Faculty of Forestry, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina
Interests: earlywood; tree rings; radial growth; GIS; remote sensing
Dr. Francesca Giannetti

E-Mail Website
Guest Editor
GEOLAB - Laboratory of Forest Geomatics, Università degli Studi di Firenze, Florence, Italy
Interests: forests; mapping natural resources; forest management; remote sensing to map forest resources; UAV forest applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The global climate change the world is currently suffering means that forests have a more relevant role than ever. Whether they are restoration forests, new plantations, even aged or complex forests, all are effective tools to mitigate climate change by slowing CO2 accumulation in the atmosphere. The study of forests as ecosystems include, for example, the analysis of growth capacity, competition, mortality, death, mixtures or ecosystem services provision. Therefore, developing growth models adapted to new and future climate change situations is extremely necessary to manage these stands as best as possible, considering all possible functions and actors that belong to them and conserving them, including the different ecosystem services they provide. Talking about forest growth models means predicting the future status of a forest and the nature of any harvest from that forest and helping consider alternative management options. For these reasons, the main aim of this Special Issue is to compile papers that focus on forest growth and yield modeling at the individual tree or stand level, specific or generalized models, with different approaches, to improve knowledge and cover various forest types worldwide.

Dr. María Menéndez-Miguélez
Dr. Admir Avdagic
Dr. Francesca Giannetti
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

  • climate change
  • forest growth
  • yield models
  • carbon sequestration
  • biodiversity
  • ecosystem services
  • regeneration
  • mixed stands, pure stands
  • mortality
  • forest management

Published Papers (2 papers)

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Research

14 pages, 7711 KiB  
Article
Fine-Scale Spatial Variability of Stand Structural Features under Selection Management and Strict Protection: An Example from the Dinaric Mountains
by Srdjan Keren, Wojciech Ochał and Vojislav Dukić
Forests 2024, 15(1), 32; https://doi.org/10.3390/f15010032 - 22 Dec 2023
Viewed by 603
Abstract
Small scattered plots of a few hundred square meters well reflect structural variability at stand level, but not at small spatial scales as the data between plots is missing. Information about structural similarities between managed and unmanaged stands, especially based on large sample [...] Read more.
Small scattered plots of a few hundred square meters well reflect structural variability at stand level, but not at small spatial scales as the data between plots is missing. Information about structural similarities between managed and unmanaged stands, especially based on large sample plots, is still scarce. Our first objective was to quantify and illustrate structural variability of a selection-managed stand and a corresponding old-growth (OG) stand at small spatial scales. The second goal was to find out if there is a positive autocorrelation among neighboring patches in these stands regarding tree density (N) and basal area (BA). Tree positions and their diameters were recorded in 1.5 ha plots. Structural variation was examined at scales from 0.01 ha to 0.36 ha. Spatial correlation of N and BA was examined by applying experimental semivariograms. The variability of N was similar in both stands, whereas it significantly differed regarding BA (α = 0.05). Semivariance did not detect positive spatial autocorrelation of BA, while adjacent plots appeared to be more similar (autocorrelated) regarding N in both stands. Despite statistical difference regarding BA variability, the selection-managed stand exhibited many structural similarities to the OG stand, which makes it potentially suitable for modulating, if needed, to bring it step closer to an old-growth structure. Full article
(This article belongs to the Special Issue Forest Growth Modeling in Different Ecological Conditions)
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12 pages, 2186 KiB  
Article
Analysis of Height Growth Suggests Moderate Growth of Tilia cordata and Acer platanoides at the Native Hemiboreal Stands in Latvia
by Ilze Matisone, Guntars Šņepsts, Dārta Kaupe, Sebastian Hein, Raitis Rieksts-Riekstiņš and Āris Jansons
Forests 2024, 15(1), 7; https://doi.org/10.3390/f15010007 - 19 Dec 2023
Viewed by 753
Abstract
In the Eastern Baltics, climatic changes are expected to alter forest composition favouring broadleaved species. The height growth of trees influences the productivity of stands and the competitiveness of species, particularly in mixed sites, thus emphasising the necessity for accurate projections. Accordingly, height [...] Read more.
In the Eastern Baltics, climatic changes are expected to alter forest composition favouring broadleaved species. The height growth of trees influences the productivity of stands and the competitiveness of species, particularly in mixed sites, thus emphasising the necessity for accurate projections. Accordingly, height models are paramount for projecting productivity and yields of stands. As tree height growth dynamics vary regionally, regional or even local models are needed. Based upon 214 National Forest Inventory plots and 510 individual canopy trees, dominant height growth for small-leaved lime (Tilia cordata Mill.) and Norway maple (Acer platanoides L.) in Latvia were analysed. Height growth was modelled using a generalised algebraic difference approach, testing several non-linear equations. The Sloboda (for lime) and Hossfeld I (for maple) models showed the best fit and were the most realistic, predicting slower initial and middle-age (maturing period) growth, yet also displayed higher asymptotes compared to Western Europe. The predicted height at the age of 80 years was 14–33 m and 13–34 m for lime and maple, accordingly. A longer establishment period and later growth culmination suggest longer rotation, highlighting the assessment of long-term risks. In this case, supplementation of the models with climatic effects appears advantageous. Full article
(This article belongs to the Special Issue Forest Growth Modeling in Different Ecological Conditions)
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