This study quantifies the energy use, carbon dioxide equivalent (CO ₂ e) emissions, and transaction-related costs of distributed ledger technologies (DLTs) in the context of timber traceability. It combines: (i) a PRISMA-guided systematic review of empirical studies on DLT energy consumption; and (ii) benchmark values derived from continuously updated online monitoring sources, captured at defined access dates and fully documented in the . Comparable metrics are reported at the level of individual traceability events (kWh/tx, gCO ₂ e/tx, and USD/tx) and are related to a realistic timber supply chain transaction model that was empirically validated in a pilot study. The results reveal substantial differences in sustainability performance across consensus mechanisms. Proof-of-Work (PoW) networks exhibit prohibitively high energy demand and CO ₂ e emissions for frequent traceability notarizations. In contrast, Proof-of-Stake (PoS), PBFT-based, hybrid, and Directed Acyclic Graph (DAG) architectures enable low-energy and low-cost event logging. This study bridges the gap between established DLT sustainability research and the operational requirements of regulated forestry traceability by providing a transparent and reproducible benchmarking workflow that includes URLs, access dates and calculation spreadsheets.

Blockchain technology (BCT) is often discussed as digital support for timber traceability in the context of the EU Deforestation-Free Products Regulation (EUDR), which requires operators and traders to demonstrate legality, deforestation-free production, geolocation at the forest parcel level, and verifiable supply chain documentation from 30 December 2026, with an extended timeline for micro, small, and medium-sized enterprises (SMEs) until 30 June 2027. This study assesses where BCT can realistically add value in timber supply chains under operational forestry conditions and identifies the necessary technical, organizational, and legal prerequisites. A combination of a targeted literature review and empirical input from experts in the forestry and timber industry, including guided expert web-conferencing interviews (n = 41), an online survey (n = 69 completed responses), and a transdisciplinary workshop (n = 18) was utilized to obtain a comprehensive overview of industry perspectives. Qualitative data from interviews and workshop sessions were analyzed using structured qualitative content analysis, while survey data were evaluated using descriptive statistics. The expected benefits are associated with the introduction of tamper-proof timber harvesting practices and cross-organizational verification mechanisms. To address the discrepancy between biological uncertainty and digital rigidity, the study proposes a dynamic allocation model adapted from the energy sector that distinguishes between fixed and variable wood capacities to automate logistical planning via smart contracts. However, respondents emphasize that practical obstacles, such as limited digital maturity in forestry, fragmented data infrastructures across the supply chain, and unresolved issues of data sovereignty hinder the implementation of BCT. BCT alone is unable to resolve the problem of weak physical-digital identity continuity, a phenomenon widely known as the oracle problem; however, coupling the ledger with physical or biological anchors (e.g., photo-optical, automated inkjet marking identification) can re-establish this physical–digital continuity and thereby resolve the oracle problem. The results demonstrate that blockchain acts most plausibly as a supporting component within hybrid traceability architectures that prioritize event-based authentication, off-chain data processing where appropriate, and integration with existing certification systems. The study highlights the necessity of defining distinct organizational roles and responsibilities while integrating user-centric digital solutions tailored specifically to small and medium-sized enterprises (SMEs).

Purpose of the Review: This semi-systematic review examines how augmented reality (AR) was developed and applied in forestry between 2000 and 2025. With a European focus and international scope, it integrates peer-reviewed literature, grey literature, and commercially available tools to capture progress and practice. It maps AR use cases, characterises hardware, software, and data pipelines, assesses Technology Readiness Levels, and identifies barriers, research gaps, and priorities for future deployment. Recent Findings: AR in forestry is moving from isolated prototypes towards early operational implementation. The most mature applications are found in forest inventory, urban forestry, and roundwood measurement, where smartphone- and tablet-based tools using Light Detection and Ranging (LiDAR), Red, Green, Blue, and Depth (RGB-D) sensing, Simultaneous Localisation and Mapping (SLAM), and computer vision have reached moderate to high readiness, with some commercially deployed. Head-mounted displays and machine-integrated systems are being tested for stand visualisation, digital tree marking, planting guidance, and harvesting support, but most remain at pilot stage. Most systems cluster around TRL 4–6, while only a limited subset reaches TRL 7–9. Summary: AR in forestry is a heterogeneous but rapidly evolving ecosystem of mobile, wearable, and machine-integrated solutions. Persistent barriers include under-canopy tracking instability, weak georeferencing, limited ruggedness and battery life, ergonomic constraints, poor interoperability, and limited validation. AR nevertheless shows strong potential as a human-centred interface, but wider deployment will require forest-adapted localisation, lightweight 3D visualisation, stronger system integration, and closer collaboration across stakeholders.