William Lidberg
Biographic Data
| ID | 6019954 |
|---|---|
| NAME | William Lidberg |
| GIVEN NAMES | William |
| FAMILY NAME | Lidberg |
| SIGNATURE | LIDBERG W |
| AFFILIATIONS | Swedish University of Agricultural Sciences |
| ORCID | 0000-0001-5780-5596 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 9 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Precision or division? Stakeholder perceptions and tensions in the digital transition of Swedish forests
Precision forestry technologies are promoted as solutions for managing competing forest values and mitigating land-use conflicts, yet their social and political implications remain poorly understood. This study examines how Swedish forestry stakeholders perceive the potential and risks of digital tools such as AI, remote sensing, and predictive modeling in relation to forest-related conflicts. Drawing on a future-oriented participatory workshop a…
The Bright Side of the Moon
AI systems, such as neural-network-based deep learning (DL) and other machine learning (ML) algorithms, can extract valuable insights from data. A major downside of these algorithms is dependence on the availability of sufficient amounts of relevant and structured data. This is clearly problematic for uses in settings where data are scarce and may hamper the development of innovative, creative ML solutions. Hence, there are tensions between ambit…
Forest owners’ perceptions of machine learning
Machine learning is becoming increasingly important in environmental decision-making, particularly in forestry. While forest-owner typologies help in understanding private forest management strategies, they often overlook owners' relationships with technology. This is crucial for ensuring that data-driven advancements in forestry benefit society. Using Swedish forestry policy as a case, we applied Q-methodology to explore forest owners' perceptio…
Detection of Hunting Pits using Airborne Laser Scanning and Deep Learning
Forests worldwide contain unique cultural traces of past human land use. Increased pressure on forest ecosystems and intensive modern forest management methods threaten these ancient monuments and cultural remains. In northern Europe, older forests often contain very old traces, such as millennia-old hunting pits and indigenous Sami hearths. Investigations have repeatedly found that forest owners often fail to protect these cultural remains and t…
Using machine learning to generate high-resolution wet area maps for planning forest management
Comparisons between field data and available maps show that 64% of wet areas in the boreal landscape are missing on current maps. Primarily forested wetlands and wet soils near streams and lakes are missing, making them difficult to manage. One solution is to model missing wet areas from high-resolution digital elevation models, using indices such as topographical wetness index and depth to water. However, when working across large areas with gra…
Environmental footprint of small-scale, historical mining and metallurgy in the Swedish boreal forest landscape
The history of mining and smelting and the associated pollution have been documented using lake sediments for decades, but the broader ecological implications are not well studied. We analyzed sediment profiles covering the past ~10,000 years from three lakes associated with an iron blast furnace in central Sweden, as an example of the many small-scale furnaces with historical roots in the medieval period. With a focus on long-term lake-water qua…
Identifying and assessing the potential hydrological function of past artificial forest drainage
Drainage of forested wetlands for increased timber production has profoundly altered the hydrology and water quality of their downstream waterways. Some ditches need network maintenance (DNM), but potential positive effects on tree productivity must be balanced against environmental impacts. Currently, no clear guidelines exist for DNM that strike this balance. Our study helps begin to prioritise DNM by: (1) quantifying ditches by soil type in th…
Was Moshyttan the earliest iron blast furnace in Sweden? The sediment record as an archeological toolbox
Identifying and assessing the potential hydrological function of past artificial forest drainage
Drainage of forested wetlands for increased timber production has profoundly altered the hydrology and water quality of their downstream waterways. Some ditches need network maintenance (DNM), but potential positive effects on tree productivity must be balanced against environmental impacts. Currently, no clear guidelines exist for DNM that strike this balance. Our study helps begin to prioritise DNM by: (1) quantifying ditches by soil type in th…
Using machine learning to generate high-resolution wet area maps for planning forest management
Comparisons between field data and available maps show that 64% of wet areas in the boreal landscape are missing on current maps. Primarily forested wetlands and wet soils near streams and lakes are missing, making them difficult to manage. One solution is to model missing wet areas from high-resolution digital elevation models, using indices such as topographical wetness index and depth to water. However, when working across large areas with gra…
Detection of Hunting Pits using Airborne Laser Scanning and Deep Learning
Forests worldwide contain unique cultural traces of past human land use. Increased pressure on forest ecosystems and intensive modern forest management methods threaten these ancient monuments and cultural remains. In northern Europe, older forests often contain very old traces, such as millennia-old hunting pits and indigenous Sami hearths. Investigations have repeatedly found that forest owners often fail to protect these cultural remains and t…
Was Moshyttan the earliest iron blast furnace in Sweden? The sediment record as an archeological toolbox
Was Moshyttan the earliest iron blast furnace in Sweden? The sediment record as an archeological toolbox
Identifying and assessing the potential hydrological function of past artificial forest drainage
Drainage of forested wetlands for increased timber production has profoundly altered the hydrology and water quality of their downstream waterways. Some ditches need network maintenance (DNM), but potential positive effects on tree productivity must be balanced against environmental impacts. Currently, no clear guidelines exist for DNM that strike this balance. Our study helps begin to prioritise DNM by: (1) quantifying ditches by soil type in th…
Environmental footprint of small-scale, historical mining and metallurgy in the Swedish boreal forest landscape
The history of mining and smelting and the associated pollution have been documented using lake sediments for decades, but the broader ecological implications are not well studied. We analyzed sediment profiles covering the past ~10,000 years from three lakes associated with an iron blast furnace in central Sweden, as an example of the many small-scale furnaces with historical roots in the medieval period. With a focus on long-term lake-water qua…
Using machine learning to generate high-resolution wet area maps for planning forest management
Comparisons between field data and available maps show that 64% of wet areas in the boreal landscape are missing on current maps. Primarily forested wetlands and wet soils near streams and lakes are missing, making them difficult to manage. One solution is to model missing wet areas from high-resolution digital elevation models, using indices such as topographical wetness index and depth to water. However, when working across large areas with gra…
Forest owners’ perceptions of machine learning
Machine learning is becoming increasingly important in environmental decision-making, particularly in forestry. While forest-owner typologies help in understanding private forest management strategies, they often overlook owners' relationships with technology. This is crucial for ensuring that data-driven advancements in forestry benefit society. Using Swedish forestry policy as a case, we applied Q-methodology to explore forest owners' perceptio…
Detection of Hunting Pits using Airborne Laser Scanning and Deep Learning
Forests worldwide contain unique cultural traces of past human land use. Increased pressure on forest ecosystems and intensive modern forest management methods threaten these ancient monuments and cultural remains. In northern Europe, older forests often contain very old traces, such as millennia-old hunting pits and indigenous Sami hearths. Investigations have repeatedly found that forest owners often fail to protect these cultural remains and t…
The Bright Side of the Moon
AI systems, such as neural-network-based deep learning (DL) and other machine learning (ML) algorithms, can extract valuable insights from data. A major downside of these algorithms is dependence on the availability of sufficient amounts of relevant and structured data. This is clearly problematic for uses in settings where data are scarce and may hamper the development of innovative, creative ML solutions. Hence, there are tensions between ambit…
Precision or division? Stakeholder perceptions and tensions in the digital transition of Swedish forests
Precision forestry technologies are promoted as solutions for managing competing forest values and mitigating land-use conflicts, yet their social and political implications remain poorly understood. This study examines how Swedish forestry stakeholders perceive the potential and risks of digital tools such as AI, remote sensing, and predictive modeling in relation to forest-related conflicts. Drawing on a future-oriented participatory workshop a…
Environmental Science (5 works) · Geography (5 works) · Ecology (4 works) · Ecology (3 works) · Forestry (3 works) · Geology (3 works) · Archaeology (2 works) · Charcoal (2 works) · Environmental resource management (2 works) · Forest management (2 works)