Forest Co-op Growth & Yield Science Unit
Managing forest resources sustainably and efficiently is a difficult undertaking given the complexity of decision input variables and the diversity of processes involved. To reduce uncertainties related to forest management decisions, it is necessary to be able to rely on models and estimation tools that are grounded on solid science and empirical knowledge. The Forest Co-op GYSU exists to address both of these key items. The Forest Co-op GYSU generates a valuable knowledge base through its Forest Co-op Permanent Growth Plot (PGP) Program, a network of more than 2,500 plot installations across the province that have been consistently measured and re-measured. Developing and managing this wealth of information is important but is just the first step in putting the data to work.
Over the past eleven years, the Forest Co-op GYSU has striven to utilize Forest Co-op PGP information to develop and refine models and tools to support effective forest management decisions. From the development of benchmark yield curves and stand succession models through to growth intercept models and stand density management decision support systems, the toolbox continues to grow and improve. The Forest Co-op Fibre Optimization Project marks the latest effort to develop a process to assist in management decision-making. Building on core science products derived from the PGP network, such as height diameter models and taper functions, this project aims to marry operational cruising, data compilation, spatial wood supply analysis and operational planning into an innovative decision support tool. This new fibre optimization tool opens a window to improved product forecasting and maximizing the value of resources. This tool facilitates movement from volume to value based decision making, and establishes a framework for future development that focuses on quality, value and specific tree attributes. The Forest Co-op GYSU will continue to foster development of products like these to help reduce uncertainty in the forest management decision-making process.