Canadian Journal of Forest Research · 1996 · 18 citations · 0 references
Natural SciencesEcologyForestryClimate ScienceClimatologyTerrestrial EcologyClimate ChangeClimate Impact AssessmentClimate Impact ModelingForest GrowthForest ProductivityForest YieldClimate Change Effects On ForestsClimate Change ScenariosGeographic Information System SimulationPotential Environmental ImpactShoot Growth RateVegetation Response To Climate ChangeVolume Increment EstimationYield Class Classification
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 m 3 •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 m 3 •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 m 3 •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.