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A mixed-effects modeling approach for describing climate-growth relationships with applications to climate change research
Presented by Dr. David W. PETERSON on 14 May 2013 from 10:55 to 11:15
Type: Oral Presentation
Session: Climate Growth Relations II
Track: Climate-growth relationships
Climate-growth relationships have typically been described for mean chronologies at the stand or larger spatial scales, either as a basis for subsequent reconstruction of past climatic variability, or to better understand environmental controls on tree growth. However, accurately forecasting forest responses to future climate change may require a better understanding of variability in tree growth responses to climatic variability within stands, among species, and across environmental gradients than can be obtained from mean growth chronologies. I demonstrate an approach to describing and testing hypotheses about climate-growth relationships based on individual trees as the basic sampling unit that uses mixed effects statistical models to model variability in responses to climate within and among populations. Using previously published data from subalpine conifers in the Pacific Northwest, I show that climate-growth relationships can vary significantly within and among stands and that this variability can be partially attributed to tree and site characteristics.