Nick M. Merriman

PhD Fellow in Forest Modelling
University of Copenhagen, Department of Geosciences and Natural Resource Management

PhD fellow in forest modelling with professional experience in Canadian forestry and wildfire suppression. My research focuses on modelling tree and stand development and allometry using both parametric and machine learning approaches with large scale national forest inventory and experimental datasets.

Publications

• Merriman, N. M., Taeroe, A., Nord-Larsen, T., & Raulund-Rasmussen, K. (2025). Height growth and total volume production models for short rotation Paulownia plantations. Forest Ecology and Management, 597, 123144.
• Brownell, P. H., Merriman, N. M., & Nord-Larsen, T. (2026). From parametric models to machine learning: Predicting tree height from national forest inventory data. Forest Ecology and Management, 608, 123594.

Research interests

• Forest growth and yield modelling
• Allometric relationships
• Mixed-effects modelling
• Statistical and machine learning methods
• Large scale national forest inventory and experimental data

Links

• Email
• CV (PDF)
• ORCID
• Google Scholar
• LinkedIn