LiDAR EFI for growth projections: new approaches
OB 4a
Hub: Romeo Malette, ON
Year: 2022-2024
José Riofrío , PDF
Given that most actively managed stands within the Hub sites already have undertaken EFI programs, it is critical that lidar-dervied, static layers of key forest attributes are linked to regional growth and yield models. We recognise different models exist across Canada, with differing levels of fusion with lidar inventories. José will take existing research and examine a variety of model approaches including MIST in ON, and Natura in QB with the objective of producing models than can integrate lidar data and produce growth estimates at the management unit scale. To achieve this, we will first develop an overarching philosophy of model integration, and then implement and verify model predictions at Hub sites. Outcome (OB.4a): New approaches to integrate lidar EFI estimates into growth projections for broad implementation.
José Riofrío, PDF at University of British Columbia
Main Partner: Ministry of Natural Resources and Forestry (Ontario)
Professor Nicholas Coops & Alexis Achim
Riofrio, J., Coops, NC., Ashiq, W., Achim, A. (2024) Mapping mortality rates in mixedwood boreal forest with airborne laser scanning data: Increasing the accuracy of Enhanced Forest Inventories (oral). Symposium on Systems Analysis in Forest Resources. Hondarribia, Spain. May 13-17, 2024
Tompalski, P., Wulder, M.A., White, J.C., Hermosilla, T., Riofrío, J., Kurz, W.A. (2024) Developing aboveground biomass yield curves for dominant boreal tree species from time series remote sensing data. For. Ecol. Manage. 561, 121894. https://doi.org/10.1016/j.foreco.2024.121894
Irwin, L.A.K., Coops, N.C., Riofrío, J., Grubinger, S.G., Barbeito, I., Achim, A., Roeser, D. (2024) Prioritizing commercial thinning: quantification of growth and competition with high-density drone laser scanning, Forestry: An International Journal of Forest Research cpae030, https://doi.org/10.1093/forestry/cpae030
Riofrio, J., Fortin, M., Ashiq, W., Eskelson, B. (2023). Climate-sensitive mortality models in Ontario, Canada. Growth and Yield Innovations Conference, Oral Presentation. Canmore, AB, June 18-21, 2023. https://fgrow.ca/news/growth-and-yield-innovations-conference-2023#kim
Riofrio, J., White, J.C., Tompalski, P., Coops, N., Wulder, M.A (2023). Modelling height growth of temperate mixedwood forests using an age-independent approach and multi-temporal airborne laser scanning data. Forest Ecology and Management, 543, 121137. https://doi.org/10.1016/j.foreco.2023.121137
Irwin, Liam, Coops, Nicholas C., Riofrío, José, Barbeito, Ignacio, Grubinger, Samuel, Achim, Alexis, Roeser, Dominik (2023) Quantifying Tree-level Drivers of Tree Growth in High Density Managed Stands with Drone Lidar. Silvilaser Conference Presentation, 6-8 september, ULC London, UK
Riofrio, J., White, J.C., Tompalski, P., Coops, N., Wulder, M.A (2022) Harmonizing multi-temporal airborne laser scanning point clouds to derive periodic annual height increments in temperate mixedwood forests. Canadian Journal of Forest Research, 52(10): https://doi.org/10.1139/cjfr-2022-0055