Today, understanding ecosystem dynamics using ecological network data analysis is one of the issues that has attracted the attention of researchers around the world. Ecological network science has addressed content such as new indicators of environmental change, social, economic, and ecosystem networks.
Due to the complexity of various vital and regional networks in their diverse climates, Iranian forest ecosystems have a complex structure that can be considered one of the strategic and sensitive areas at the global level from an ecological perspective. These ecosystems are more than merely a vegetation cover, a complex network of interactions, or interactions between and within species (biotic and abiotic), geochemical processes, and ecosystem services that play a key role in the biological sustainability of humans and other natural and native organisms, and ensure the survival of life in this geographical area. In the current era, however, these forests are simultaneously affected by natural stresses and increasing human interventions in a sensitive period of various changes, especially climate change in the arid and semi-arid regions of the world.
Aiming to create a scientific and specialized platform, this journal aims to open the nodes of knowledge in various fields of forest sciences, especially ecology and forestry, and related sciences, mainly focusing on a deeper understanding of ecosystem dynamics and identifying patterns governing Iranian forests. Studies of complex networks, the structures of plant and wildlife communities, analysis of ecological responses to climate change and its consequences, such as micro-dust, water stress, disruption in production, forest ecology, and sustainable management of forest resources, are among the topics of interest to this journal.
This issue attempts to compile a collection of detailed and innovative research, each of which opens a new window toward a better understanding of Iran's forest ecosystems. The articles cover a wide range of topics, such as assessing the accuracy of elevation models and drone remote sensing, investigating biodiversity and biomass, analyzing the structure and dynamics of forest stands, ecosystem services, modeling structural and carbon indices using machine learning, physiological responses of plants to drought stress, analyzing factors of forest degradation, evaluating urban green spaces, safety issues and occupational accidents, identifying factors affecting the distribution of mangrove forests, and the socioeconomic dimensions of local communities' dependence on forests.
We, the "Editorial Board, Editor, and Publications Group of Sari University of Agricultural Sciences and Natural Resources", believe that only through the production of documented knowledge based on field and laboratory data, can intelligent management and conservation strategies be developed for the future of the natural heritage of this ancient, historical, culturally-oriented, and scientific land.
Finally, the working team of this journal sincerely thanks all the valuable researchers, authors, and reviewers who contribute to the advancement of the level of knowledge of this journal with scientific accuracy. It is hoped that this series will be an effective step toward strengthening the scientific foundations of forest ecology in Iran and a guide for decision-makers in the field of forest ecology and environment.
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General Received: 2026/06/10 | Accepted: 2026/03/1