Climate and Species Functional Traits Influence Maximum Live Tree Stocking in the Lake States, USA. Ducey, M. J.; Woodall, C. W.; and Bravo-Oviedo, A. 386:51–61.
Climate and Species Functional Traits Influence Maximum Live Tree Stocking in the Lake States, USA [link]Paper  doi  abstract   bibtex   
[Highlights] [::] Specific gravity and shade tolerance impact maximum stocking of tree species. [::] Temperature and precipitation interact with these traits to govern maximum stocking. [::] The results provide a simple, additive density measure for these complex forests. [Abstract] Quantifying the density of live trees in forest stands and partitioning it between species or other stand components is critical for predicting forest dynamics and responses to management, as well as understanding the impacts of stand composition and structure on productivity. As plant traits such as shade tolerance have been proven to refine understanding of plant community dynamics, we extended a previous model relating maximum stand density to wood specific gravity to incorporate shade tolerance as an additional functional trait. Additionally, we included climatic variables that might influence ecological dynamics and modulate species-specific traits, across a region and also potentially over time under climate change scenarios. We used data from the USDA Forest Service, Forest Inventory and Analysis program for three states in the northern United States (Minnesota, Wisconsin, and Michigan) that reflect strong gradients in climate and species composition, to fit a maximum density model by quantile regression. The resulting strictly additive density measure conforms well to both existing silvicultural guidance and to observed densities of monocultures that lack such guidance. Wood specific gravity appears to interact with precipitation, while shade tolerance interacts with temperature, in driving maximum density relationships. Our proposed maximum stand density model is not only parsimonious for field application in management situations, but also empowers the evaluation of the effects of future climate and tree range scenarios on forest management guidelines.
@article{duceyClimateSpeciesFunctional2017,
  title = {Climate and Species Functional Traits Influence Maximum Live Tree Stocking in the {{Lake States}}, {{USA}}},
  author = {Ducey, Mark J. and Woodall, Christopher W. and Bravo-Oviedo, Andrés},
  date = {2017-02},
  journaltitle = {Forest Ecology and Management},
  volume = {386},
  pages = {51--61},
  issn = {0378-1127},
  doi = {10.1016/j.foreco.2016.12.007},
  url = {https://doi.org/10.1016/j.foreco.2016.12.007},
  abstract = {[Highlights] [::] Specific gravity and shade tolerance impact maximum stocking of tree species. [::] Temperature and precipitation interact with these traits to govern maximum stocking. [::] The results provide a simple, additive density measure for these complex forests.

[Abstract] Quantifying the density of live trees in forest stands and partitioning it between species or other stand components is critical for predicting forest dynamics and responses to management, as well as understanding the impacts of stand composition and structure on productivity. As plant traits such as shade tolerance have been proven to refine understanding of plant community dynamics, we extended a previous model relating maximum stand density to wood specific gravity to incorporate shade tolerance as an additional functional trait. Additionally, we included climatic variables that might influence ecological dynamics and modulate species-specific traits, across a region and also potentially over time under climate change scenarios. We used data from the USDA Forest Service, Forest Inventory and Analysis program for three states in the northern United States (Minnesota, Wisconsin, and Michigan) that reflect strong gradients in climate and species composition, to fit a maximum density model by quantile regression. The resulting strictly additive density measure conforms well to both existing silvicultural guidance and to observed densities of monocultures that lack such guidance. Wood specific gravity appears to interact with precipitation, while shade tolerance interacts with temperature, in driving maximum density relationships. Our proposed maximum stand density model is not only parsimonious for field application in management situations, but also empowers the evaluation of the effects of future climate and tree range scenarios on forest management guidelines.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-14257061,~to-add-doi-URL,bioclimatic-predictors,biomass,climate,forest-resources,precipitation,shade-tolerance,tree-density,united-states}
}
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