Predicting tree biomass growth in the temperate–boreal ecotone: Is tree size,age, competition,or climate response most important? |
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| Authors: | Jane R Foster Andrew O Finley Anthony W D'Amato John B Bradford Sudipto Banerjee |
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| Affiliation: | 1. Department of Forest Resources, University of Minnesota, St. Paul, MN, USA;2. Department of Forestry and Geography, Michigan State University, East Lansing, MI, USA;3. Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT, USA;4. US Geological Survey ‐ Southwest Biological Science Center, Northern Arizona University, Flagstaff, AZ, USA;5. Department of Biostatistics, UCLA School of Public Health, Los Angeles, CA, USA |
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| Abstract: | As global temperatures rise, variation in annual climate is also changing, with unknown consequences for forest biomes. Growing forests have the ability to capture atmospheric CO2 and thereby slow rising CO2 concentrations. Forests’ ongoing ability to sequester C depends on how tree communities respond to changes in climate variation. Much of what we know about tree and forest response to climate variation comes from tree‐ring records. Yet typical tree‐ring datasets and models do not capture the diversity of climate responses that exist within and among trees and species. We address this issue using a model that estimates individual tree response to climate variables while accounting for variation in individuals’ size, age, competitive status, and spatially structured latent covariates. Our model allows for inference about variance within and among species. We quantify how variables influence aboveground biomass growth of individual trees from a representative sample of 15 northern or southern tree species growing in a transition zone between boreal and temperate biomes. Individual trees varied in their growth response to fluctuating mean annual temperature and summer moisture stress. The variation among individuals within a species was wider than mean differences among species. The effects of mean temperature and summer moisture stress interacted, such that warm years produced positive responses to summer moisture availability and cool years produced negative responses. As climate models project significant increases in annual temperatures, growth of species like Acer saccharum, Quercus rubra, and Picea glauca will vary more in response to summer moisture stress than in the past. The magnitude of biomass growth variation in response to annual climate was 92–95% smaller than responses to tree size and age. This means that measuring or predicting the physical structure of current and future forests could tell us more about future C dynamics than growth responses related to climate change alone. |
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| Keywords: | annual climate variation Bayesian models carbon sequestration dendroecology drought evapotranspiration forest biomass spatial autocorrelation temperature tree growth response |
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