Spatially explicit assessment of forest road suitability for timber extraction and hauling in Switzerland

Fraefel, Marielle; Bont, Leo Gallus; Fischer, Christoph

doi:10.1007/s10342-021-01393-w

Cited by 11 publications

(4 citation statements)

References 25 publications

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“…In a complete measuring cycle, approximately 6300 permanent plots located on a 1.4 km grid and which are classified as accessible forest are visited. The Swiss NFI defines five production regions (Jura, Plateau, Pre-Alps, Alps, and Southern Alps) which represent comparably homogeneous forest type and management conditions (Glossary in Fischer and Traub 2019;Fraefel et al 2021).…”

Section: Methodsmentioning

confidence: 99%

Tree stumps — an important but undervalued dead wood pool

Didion

Abegg

2022

Annals of Forest Science

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Key message Dead wood in forests is an important resource due to its role for nutrient cycles, carbon budgets, and biodiversity, among other. While standing and downed dead wood are typically monitored in National Forest Inventories (NFI), stumps have not received comparable attention. Based on the detailed stump inventory in the current Swiss NFI, this study demonstrates the important contribution of stumps to the dead wood pool. Context Dead wood (DW) in forests is an important resource due to its role for nutrient cycles, carbon budgets, and biodiversity, among other. NFIs provide representative DW estimates focusing primarily on standing and downed DW. Little is known on stumps as a DW pool. Aims The aim of this study is to obtain an accurate assessment of the stump volume and biomass in the Swiss NFI to identify its significance for the DW pool, to evaluate the development over the last 30 years, and to examine the need for additional measurements for improving estimates compared to commonly applied assumptions for stump height such as a constant stump height or a fraction of tree height. Methods The current NFI includes a detailed stump inventory to improve accuracy and completeness of the aboveground DW pool estimate. Based on available data, stump volume estimates were derived at different accuracies to evaluate the contribution to the total DW pool over time. Results Based on the extended stump inventory in the NFI5, the contribution of stumps to the total DW pool is approximately 25%. The effect of simplifying assumptions or limited measurements to estimate stump volume can result in a significant underestimation of up to $$2/3$$ 2 / 3 of the more accurate and comprehensive assessment of this pool. Conclusion This study demonstrates that stumps can be a significant proportion of DW in forests, which should be accounted for in order to improve accuracy and completeness of NFI estimates and derived data such as C stocks for greenhouse gas reporting.

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Section: Methodsmentioning

confidence: 99%

Tree stumps — an important but undervalued dead wood pool

Didion

Abegg

2022

Annals of Forest Science

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“…To illustrate with a specific example from forestry, assessing forest road trafficability can employ various technologies. These include the falling weight deflectometer [19], soil moisture measurements [20], and integrating these methods with different terrain models [21]. While these technologies are established and effective for evaluating road trafficability, AI introduces an advanced approach.…”

Section: Digital Transformation In Smart Forestry Needs Sensorsmentioning

confidence: 99%

Sensors for Digital Transformation in Smart Forestry

Ehrlich-Sommer,

Hoenigsberger,

Gollob

et al. 2024

Sensors

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Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance forest management while minimizing the environmental impact. The efficacy of AI in this domain is contingent upon the availability of extensive, high-quality data, underscoring the pivotal role of sensor-based data acquisition in the digital transformation of forestry. However, the complexity and challenging conditions of forest environments often impede data collection efforts. Achieving the full potential of smart forestry necessitates a comprehensive integration of sensor technologies throughout the process chain, ensuring the production of standardized, high-quality data essential for AI applications. This paper highlights the symbiotic relationship between human expertise and the digital transformation in forestry, particularly under challenging conditions. We emphasize the human-in-the-loop approach, which allows experts to directly influence data generation, enhancing adaptability and effectiveness in diverse scenarios. A critical aspect of this integration is the deployment of autonomous robotic systems in forests, functioning both as data collectors and processing hubs. These systems are instrumental in facilitating sensor integration and generating substantial volumes of quality data. We present our universal sensor platform, detailing our experiences and the critical importance of the initial phase in digital transformation—the generation of comprehensive, high-quality data. The selection of appropriate sensors is a key factor in this process, and our findings underscore its significance in advancing smart forestry.

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“…The most common construction activity in forestry is forest roads [2][3][4][5][6][7][8][9][10][11][12]. Forest roads are mainly involved in the production of wood raw materials and the protection of forests [2,[13][14][15]. Planning of forest roads is a challenging process as both technical and environmental factors must be considered.…”

Section: Introductionmentioning

confidence: 99%

A Study On Measuring An Objective Aspect Score In Forestry Analysis: Example Of Forest Roads And Landslide Areas

Hatay

Özcan

Gümüş

2023

Preprint

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In forestry, measurements are made to understand the state of natural ecosystems, their changes, and human impacts. These measurements are accepted as criteria in studies and used in evaluations and comparisons. Although the studies using these criteria vary, they are of great importance in studies on forest roads and landslide areas. While forest road construction activities affect ecological, economic and social factors in forestry, landslides negatively affect the environment and people. In this study, it is aimed to objectively and accurately measure the aspects of landslides and forest roads. The aspect value has been associated with exposure to sunlight, precipitation and winds that absorb soil moisture in the literature, and it has been concluded that it is an important criterion. The measurement and scoring of the aspect is generally done by visual and subjective methods in the literature. Therefore, a method which measures the aspect score more sensitive and universal is required. In the study, thirty forest roads and thirty landslide areas were selected from the Maçka Forestry Enterprise. These road and landslide areas were scored according to previous studies in the literature. The comparisons have shown that studies on aspect scoring are subjective methods that contradict each other in many ways. In order to eliminate this confusion, in this study, a pixel-based method that can be used for both accurate measurement of the aspect and objective aspect scoring is proposed. Since the hemisphere, the local winds and the precipitation are effective in scoring the aspect, the proposed method is suggested as a parametric model so that users can adapt it to their own work as they wish. The results showed that the proposed method is accurate and effective in measuring and scoring the aspect. In addition, the proposed method is shared as an open source ArcMap Toolbox to be delivered to the end-user.

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Spatially explicit assessment of forest road suitability for timber extraction and hauling in Switzerland

Cited by 11 publications

References 25 publications

Tree stumps — an important but undervalued dead wood pool

Tree stumps — an important but undervalued dead wood pool

Sensors for Digital Transformation in Smart Forestry

A Study On Measuring An Objective Aspect Score In Forestry Analysis: Example Of Forest Roads And Landslide Areas

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