Ontario Forest Research Institute, Ministry of Natural Resources, ON, Canada.
Glob Chang Biol. 2013 Feb;19(2):505-16. doi: 10.1111/gcb.12033. Epub 2012 Nov 9.
To predict the long-term effects of climate change - global warming and changes in precipitation - on the diameter (radial) growth of jack pine (Pinus banksiana Lamb.) and black spruce (Picea mariana [Mill.] B.S.P.) trees in boreal Ontario, we modified an existing diameter growth model to include climate variables. Diameter chronologies of 927 jack pine and 1173 black spruce trees, growing in the area from 47°N to 50°N and 80°W to 92°W, were used to develop diameter growth models in a nonlinear mixed-effects approach. Our results showed that the variables long-term average of mean growing season temperature, precipitation during wettest quarter, and total precipitation during growing season were significant (alpha = 0.05) in explaining variation in diameter growth of the sample trees. Model results indicated that higher temperatures during the growing season would increase the diameter growth of jack pine trees, but decrease that of black spruce trees. More precipitation during the wettest quarter would favor the diameter growth of both species. On the other hand, a wetter growing season, which may decrease radiation inputs, increase nutrient leaching, and reduce the decomposition rate, would reduce the diameter growth of both species. Moreover, our results indicated that future (2041-2070) diameter growth rate may differ from current (1971-2000) growth rates for both species, with conditions being more favorable for jack pine than black spruce trees. Expected future changes in the growth rate of boreal trees need to be considered in forest management decisions. We recommend that knowledge of climate-growth relationships, as represented by models, be combined with learning from adaptive management to reduce the risks and uncertainties associated with forest management decisions.
为了预测气候变化——全球变暖及降水变化——对北方安大略省辐射松(Pinus banksiana Lamb.)和黑云杉(Picea mariana [Mill.] B.S.P.)直径(径向)生长的长期影响,我们对现有的直径生长模型进行了修改,纳入了气候变量。利用北纬 47°至 50°、西经 80°至 92°范围内生长的 927 株辐射松和 1173 株黑云杉的直径年表,采用非线性混合效应方法建立了直径生长模型。研究结果表明,在解释样本树木的直径生长变化时,长期平均生长季温度、最湿润季度降水和生长季总降水等变量具有显著意义(α=0.05)。模型结果表明,生长季温度升高会增加辐射松的直径生长,但会降低黑云杉的直径生长。最湿润季度降水增加会有利于两种树木的直径生长。另一方面,生长季降水增加可能会减少辐射输入、增加养分淋失并降低分解率,从而降低两种树木的直径生长。此外,研究结果表明,未来(2041-2070 年)的直径生长率可能与当前(1971-2000 年)的生长率不同,辐射松的生长条件将比黑云杉更为有利。在森林管理决策中需要考虑到北方树木未来的生长率变化。我们建议,将模型所代表的气候-生长关系知识与适应性管理的经验教训相结合,以降低与森林管理决策相关的风险和不确定性。