Forest Monitoring and Modeling Under Climate Change

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 September 2025 | Viewed by 1213

Special Issue Editors


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Guest Editor
Natural Resources Institute Finland (Luke), Latokartanonkaari 9, 00790 Helsinki, Finland
Interests: growth response to silvicultural practices; forest management scenarios; growth models; growth and yield research
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Guest Editor
Division of Forest Science, College of Forest and Environmental Sciences, Kangwon National University, Chuncheon 24341, Republic of Korea
Interests: forest resource measurements; forest growth models; forest environmental statistics
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Guest Editor
Department of Agriculture, Food, Environment and Forestry, University of Florence, 50145 Florence, Italy
Interests: remote sensing; forest modeling; forest inventories; artificial intelligence; forest disturbance; climate change; Google Earth Engine
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Special Issue Information

Dear Colleagues,

Long-term forest experiments with permanent plots and national forest inventories as well as repeated measurements have been implemented and maintained around the world. The data collected and monitored are used to understand the effects of silvicultural treatments, natural disturbance on forest dynamics, and even climate change. The data can be applied to calibrate growth and yield models to project forest dynamics under future climates and management regimes. The cost of maintaining and monitoring these plots is highly expensive in terms of monetary aspects, human resources, site maintenance, and quality controls. Meanwhile, feasible and precise models are fundamental for correctly interpreting forest stand characteristics and preparing appropriate counteractions. We face many kinds of cases in the management of forests at local, national, or worldwide scales, which may seem to be similar in other regions. The driving modeling mechanism can be a comment interest that is able to simulate future forests.

In this Special Issue, I would like to invite research scientists who work with forest monitoring and modeling under climate change based on long-term experimental data with repeated measurements. Moreover, I would welcome researchers who want to discuss a variety of conventional and new forest monitoring and modeling methods for forest management under climate change. I encourage researchers to report advantages and disadvantages, pros and cons, or strengths and pitfalls to allow our research colleagues to learn about novel ideas. By sharing knowledge and strategies, I hope that we will be able to manage our monitoring and modeling techniques more optimally and avoid unnecessary expenses and efforts.

Dr. Daesung Lee
Prof. Dr. Jungkee Choi
Dr. Saverio Francini
Guest Editors

Manuscript Submission Information

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Keywords

  • long-term monitoring plots
  • silvicultural interventions
  • forest management scenarios
  • growth and yield models
  • process-based models
  • stand density management
  • mortality
  • regeneration
  • forest dynamics
  • forest carbon sequestration
  • climate change

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Published Papers (1 paper)

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Research

19 pages, 3764 KiB  
Article
Dynamics of Annual Cone Crops of Siberian Fir (Abies sibirica Ledeb.) in Conifer Forests of Pre-Ural Region (Russia) Based on 47 Years of Observations
by Alexandr Davydychev and Gleb Zaitsev
Forests 2025, 16(2), 234; https://doi.org/10.3390/f16020234 - 25 Jan 2025
Viewed by 1004
Abstract
Because seed reproduction is the sole means of reproduction available for coniferous tree species, it plays a crucial role in determining the species’ ecological adaptability and the competitiveness of species under specific biocoenosis conditions. Therefore, the primary goal of studying the periodicity and [...] Read more.
Because seed reproduction is the sole means of reproduction available for coniferous tree species, it plays a crucial role in determining the species’ ecological adaptability and the competitiveness of species under specific biocoenosis conditions. Therefore, the primary goal of studying the periodicity and cyclical production of cones (seeds) is to forecast the peaks and recessions of natural renewal in various forest ecosystems. The crop dynamics of Siberian fir (Abies sibirica Ledeb.) cones in three mature natural conifer forests in the broad-leaf coniferous forest subzone of the pre-Ural region (Russia) was analysed based on long-term observations spanning 47 years. The conifer forests investigated had a considerable deficit of cones (seeds) for natural renewal under the forest canopy. High cone crops occur every 10 years or twice a decade under most favourable conditions. However, cone production has no distinct periodicity, and it is impossible to forecast a high crop of cones based only on long-term data. The levels of fir crop cones were clearly correlated with climate factors. Late winter climate in previous (weak and moderate positive correlation) and current years (weak and moderate negative correlation) affected the fir cone crop. High and even average fir cone crops occur spontaneously with no discernible pattern. In coniferous forests, cone crops are highest on slopes with high insolation levels and on sustainably wet soils. Full article
(This article belongs to the Special Issue Forest Monitoring and Modeling Under Climate Change)
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