From Harvest to Market: Assessing Sustainability in Wood Industry Management and Operations

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Wood Science and Forest Products".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 1697

Special Issue Editors


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Guest Editor
Faculty of Forestry and Wood Technology University of Zagreb, Svetošimunska cesta 23, 10000 Zagreb, Croatia
Interests: quality management; certification; production management; wood processing; furniture manufacturing; circular economy; environmental management; wood industry; chain of custody certification

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Guest Editor
Faculty of Forestry and Wood Technology University of Zagreb, Svetošimunska cesta 23, 10000 Zagreb, Croatia
Interests: marketing and trade in wood industry; business innovation; circular economy; costs and calculations
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Guest Editor
Faculty of Ecology and Landscape Architecture, University of Forestry, 1797 Sofia, Bulgaria
Interests: economic efficiency; entrepreneurship; strategic analysis; innovations management; cost allocation approaches; bioeconomy; sustainability; forestry efficiency; wood-processing economic efficiency and development
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wood, as a natural and sustainable material, holds immense potential in addressing contemporary challenges such as climate change and resource depletion. Its renewable nature embodies the essence of sustainability, offering opportunities for responsible management practices that balance ecological preservation with economic viability. This Special Issue aims to emphasize the significance of the wood industry within the broader context of sustainable development. It acknowledges the critical role of forests and wood products in global economies and aims to explore sustainable practices across the entire process, from initial harvest to final market distribution. By examining sustainability across the entire wood value chain, from forest management, through production and management, to market distribution, this Special Issue seeks to uncover strategies and innovations that promote environmental responsibility, social accountability, and economic prosperity. It addresses important issues such as deforestation, climate change, and global market demands. Furthermore, it delves into themes such as innovation, digitalization, and impact and regulations, aiming to shed light on the best practices, challenges, and innovative approaches used to achieve the goals of sustainability through empirical studies, theoretical frameworks, and case analyses.

Dr. Kristina Klarić
Dr. Andreja Pirc Barčić
Dr. Nikolay Neykov
Guest Editors

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Keywords

  • wood industry
  • wood products
  • production management
  • quality management
  • wood supply chains
  • global forests products market
  • innovation
  • digitalization
  • sustainability
  • policy regulations

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Published Papers (3 papers)

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Research

8 pages, 956 KiB  
Article
Addressing Sustainability Challenges in the Global Aquarium Wood Market
by Alan Crivellaro, Paolo Galli, Francesco Negro and Flavio Ruffinatto
Forests 2025, 16(5), 835; https://doi.org/10.3390/f16050835 - 18 May 2025
Viewed by 215
Abstract
The aquarium trade includes a niche but significant market for ornamental wood, yet its sustainability remains largely unexamined. This study combines traditional wood anatomical methods with conservation assessments to investigate the sustainability of this overlooked sector. We investigated the botanical identity of aquarium [...] Read more.
The aquarium trade includes a niche but significant market for ornamental wood, yet its sustainability remains largely unexamined. This study combines traditional wood anatomical methods with conservation assessments to investigate the sustainability of this overlooked sector. We investigated the botanical identity of aquarium wood products to assess mislabelling, conservation concerns, and potential environmental risks. Using macroscopic and microscopic wood anatomy techniques, we analysed wood samples from the aquarium trade to determine taxonomic identity. We also examined the origin, conservation status, and possible ecological implications of the identified taxa. We identified woods from diverse families, including Myrtaceae, Ericaceae, Fabaceae, and Ebenaceae, with some species listed as threatened. Widespread mislabelling obscures conservation status, enabling unsustainable trade. Moreover, several samples were identified as roots, raising concerns about soil disruption and habitat degradation. By linking wood anatomy and ecosystem impacts, we show that the aquarium wood trade lacks transparency, posing risks to biodiversity conservation and ecosystem stability. Our findings underscore the pressing need for effective regulatory oversight, accurate labelling, and sustainable sourcing to mitigate environmental impacts and promote responsible trade practices. Full article
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10 pages, 1674 KiB  
Article
An Open-Source Tree Bucking Optimizer Based on Dynamic Programming
by Caroline Bennemann, Jean-Martin Lussier and Eric R. Labelle
Forests 2025, 16(5), 780; https://doi.org/10.3390/f16050780 - 6 May 2025
Viewed by 207
Abstract
Bucking optimization was shown to generate high gains in volume and value recovery in harvesting operations. Several bucking optimizers have been developed between the 1960s and early 2000s but none of those programs were available in an open-source and easily modifiable format by [...] Read more.
Bucking optimization was shown to generate high gains in volume and value recovery in harvesting operations. Several bucking optimizers have been developed between the 1960s and early 2000s but none of those programs were available in an open-source and easily modifiable format by users. Therefore, this paper presents BuckR, an open access bucking optimizer at tree-level, programmed in R. The objective function is the maximization of values for each study tree, but it can be modified depending on the needs of users. BuckR is based on a well-known dynamic programming algorithm and requires tree data and product specifications with prices as the inputs. One of the output files produced is the log sequence, generating the highest value for each study tree. Through the open access code, the developed bucking optimizer will facilitate future research and applications in the field of value maximization. Full article
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12 pages, 3387 KiB  
Article
A Novel Chrono-Potentiometry (CP) Method for Determining the Moisture Content of Wood Above the Fibre Saturation Point (FSP)
by Valdek Tamme, Hannes Tamme, Peeter Muiste and Ahto Kangur
Forests 2025, 16(3), 446; https://doi.org/10.3390/f16030446 - 1 Mar 2025
Viewed by 617
Abstract
The use of a novel chrono-potentiometry method (abbreviated as “CP”) in the determination of the moisture content in wood (abbreviated as “MC”) above the FSP is a practical application of the electrical charging effect (or ECE). In the specific case of this CP [...] Read more.
The use of a novel chrono-potentiometry method (abbreviated as “CP”) in the determination of the moisture content in wood (abbreviated as “MC”) above the FSP is a practical application of the electrical charging effect (or ECE). In the specific case of this CP method, the ECE consists of an electrical charging phase for the wood and a discharge phase following the interruption of the charging current. The electrical resistance, R, and the electrical chargeability, Cha(E), of three hardwood species were determined from the final potential, E1, of the charging phase and the initial potential, E2, of the discharge phase, with the three hardwood species being birch (Betula spp.), aspen (Populus spp.), and black alder (Alnus glutinosa (L.) Gaertn). An auxiliary variable in the form of U (E1; E2) was defined as a function of E1 and E2. This was used as an independent electrical variable in the calibration model for a CP moisture meter for the three tree species when it came to the moisture content (MC) region above the FSP (fibre saturation point). It was found that upon a determination of the MC in the wood, the traditional calibration model (the R-model), which uses the electrical resistance of wood, was able to predict a single-measurement precision level of +/−10% for the MC while the U-model predicted a precision level of +/−1.75% for the MC over a single MC measurement in the wood. Full article
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