Sustainable Management of Forests: Ecological Modeling and Growth Dynamics of Trees

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: 15 November 2025 | Viewed by 642

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Laboratory of Renewable Natural Resource Management and Bioeconomy, Department of Forest & Natural Environment Sciences, Faculty of Agricultural and Forestry Sciences, Democritus University of Thrace, 1 km Drama-Mikrochori, 66100 Drama, Greece
Interests: forest growth; tree and stand structure modelling; forest management; mixed-effects models; remote sensing
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Special Issue Information

Dear Colleagues,

It is widely acknowledged that modeling and management processes of forest trees at various spatial and temporal scales are essential for balancing the ecological, economic, and societal aspects of forest ecosystems. Modeling and management approaches and tools of forest trees related to their growth, health, productivity, silvicultural practices, sustainable harvesting and yield, as well as the provision of ecosystem services, such as carbon storage, nutrient cycling, water and soil protection, and socio-economic benefits, are important components of the knowledge base required for assessing and monitoring forest tree resilience and sustainability. Moreover, modeling and management tools of forest trees related to forest fire risk, disease, pest and invasive species control, decision-making and planning in connection with the public and stakeholders’ involvement both in natural and urban environments are also important for addressing the issues of forest tree sustainability assessment and monitoring. In this context, the current Special Issue “Sustainable Management of Forests: Ecological Modeling and Growth Dynamics of Trees” seeks high-quality works and topics focusing on all aspects of forest tree modeling and management approaches aimed at maintaining and enhancing the productivity, health, resilience, and sustainability of forest ecosystems.

Dr. Raptis Dimitrios
Guest Editor

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Keywords

  • ecological modeling
  • forest tree modeling
  • tree growth dynamics
  • management approaches
  • forest ecosystems
  • sustainability

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Published Papers (1 paper)

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Research

14 pages, 1636 KiB  
Article
Estimating Stand Carrying Capacity for Three Common Pine Species Across Various Regions of Türkiye
by Mehmet Seki, Sheng-I Yang, Ahmet Duyar, Dimitrios I. Raptis, Davut Atar, Mustafa Kağan Özkal, Oytun Emre Sakici and Klaus von Gadow
Forests 2025, 16(2), 374; https://doi.org/10.3390/f16020374 - 19 Feb 2025
Viewed by 336
Abstract
Sustainable management of forest ecosystems requires assessing forest dynamics and project stand growth and yield in order to make strategic decisions. The size–density relationship is one of the most important measures in quantifying the carrying capacity of a forest ecosystem and determining appropriate [...] Read more.
Sustainable management of forest ecosystems requires assessing forest dynamics and project stand growth and yield in order to make strategic decisions. The size–density relationship is one of the most important measures in quantifying the carrying capacity of a forest ecosystem and determining appropriate silvicultural decisions. In this study, the maximum stand density index (SDImax) was estimated for three common pine species in seven different ecological regions across Türkiye. Observations from 14,413 sample plots, including Calabrian pine (Pinus brutia Ten.; 6266 plots from five regions), Black pine (Pinus nigra J.F. Arnold; 6106 plots from five regions) and Scots pine (Pinus sylvestris L.; 2041 plots from three regions) forests were used in this study, covering the entire natural range of these three pine species. A mixed model with region as a random effect was developed for each species to estimate SDImax. Results show that the slope coefficients of the self-thinning lines vary by species and are significantly different from −1.605. The Scots pine stands exhibited the highest SDImax, followed by Black pine and Calabrian pine stands. Across seven ecological regions, the highest SDImax was observed in the Aegean region for Calabrian and Black pine and in the East Anatolia region for Scots pine. The arid Inner Anatolia region yielded the lowest SDImax for Black pine and Scots pine. The humid and semi-humid regions showed a higher SDImax compared to arid regions. The three pine species studied make up almost half of the total forest area in Türkiye. The results of the study are therefore very important in terms of quantitative assessment of the country’s forests. The differences in stand dynamics of these three pine species, which are also widely distributed outside Türkiye under different ecological conditions, may also be a relevant source of information for other regions. Moreover, considering that pine stands in dry environments have a lower carrying capacity than those in humid conditions, it seems likely that pine forests in Türkiye will be affected by increasing global warming. Full article
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