The development of universal response functions to facilitate climate-smart regeneration of black spruce and white pine in Ontario, Canada

摘要

Climate change is expected to impact forest growth and survival as tree populations experience climates to which they are not well adapted. However, forest regeneration efforts represent opportunities to introduce genetic material on the landscape that is well matched to future climates. We estimated universal response functions (URF) for two economically and ecologically important tree species in eastern Canada - black spruce (Picea mariana) and eastern white pine (Pinus strobus). The URF approach models tree growth as a function of both the planting site climate (i.e., environmental effects) and seed source climate (i.e., genetic effects), allowing the growth of any seed source to be estimated at any location. Both species exhibited a relatively weak genetic effect, suggesting modest potential for seed movements to mitigate climate change impacts. The optimal provenance for any given location was not local, but rather located in environments that were approximately 1.5 degrees C warmer than the planting site; this shift is consistent in both direction and magnitude with that expected due to climate warming since the start of the industrial revolution. Both species exhibited a strong environmental effect with clear evidence for a central climatic optimum. As a result, climate warming is expected to enhance black spruce growth at sites with mean annual temperature colder than approximately 4.5 degrees C and white pine growth at sites colder than 11 degrees C. Thus, Ontario white pine populations may benefit from the climate changes projected to occur in the province over the next 50-100 years. For black spruce, populations in southern and central Ontario may experience suboptimal climate conditions over the mid-to-end of the current century. Despite the relatively weak genetic effect, climate-smart seed movements could play a role in maintaining the productivity and genetic diversity of black spruce in these areas. While the URF approach has limitations, this work demonstrates its potential for informing regeneration decisions under climate change. Crown Copyright (C) 2014 Published by Elsevier B.V. All rights reserved.