Abstract

A regression model developed to predict the general yield class (GYC, maximum mean annual volume increment) of Sitka spruce (Piceasitchensis (Bong.) Carrière) from a range of site factors has been used to assess the potential impact of climate warming on the growth of Sitka spruce in Scotland. The model was interfaced with a geographic information system to predict and map the GYC of Sitka spruce across Scotland under a number of climate change scenarios. GYC was predicted to increase by 2.8 m3•ha−1•year−1 per °C rise in temperature when a uniform temperature increase was assumed during the year. A more likely assumption is a greater warming during winter months, and under such a scenario the increase in mean GYC was predicted to be 2.4 m3•ha−1•year−1•°C−1 because of a negative correlation between growth rate and mean winter temperature. When assessed in terms of land area capable of supporting a GYC greater than 18 m3•ha−1•year−1 (a value likely to provide an internal rate of return of approximately 6%), this area was predicted to almost double within the next 20 years with a similar increase occurring during the subsequent 40 years.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call