Emily R Lines, David A Coomes, and Drew Purves
Few studies have quantified regional variation in tree mortality, or explored whether species compositional changes or within-species variation are responsible for regional patterns, despite the fact that mortality has direct effects on the dynamics of woody biomass, species composition, stand structure, wood production and forest response to climate change. Using Bayesian analysis of over 430,000 tree records from a large eastern US forest database we characterised tree mortality as a function of climate, soils, species and size (stem diameter). We found (1) mortality is U-shaped vs. stem diameter for all 21 species examined; (2) mortality is hump-shaped vs. plot basal area for most species; (3) geographical variation in mortality is substantial, and correlated with several environmental factors; and (4) individual species vary substantially from the combined average in the nature and magnitude of their mortality responses to environmental variation. Regional variation in mortality is therefore the product of variation in species composition combined with highly varied mortality-environment correlations within species. The results imply that variation in mortality is a crucial part of variation in the forest carbon cycle, such that including this variation in models of the global carbon cycle could significantly narrow uncertainty in climate change predictions.
Drew Purves and Mark Vanderwel. (book chapter in press) Traits States and Rates: Understanding Coexistence in Forests , Cambridge University Press, 2012.
Mark C Vanderwel, Vassily S Lyutsarev, and Drew W Purves. Climate-related variation in mortality and recruitment determine regional forest-type distributions, Global Ecology and Biogeography, Wiley, 4 June 2013.
Mark C Vanderwel, David A Coomes, and Drew W Purves. Quantifying variation in forest disturbance, and its effects on aboveground biomass dynamics, across the eastern United States, Global Change Biology, Wiley, January 2013.
Emily R Lines, Miguel A Zavala, Drew W Purves, and David A Coomes. Predictable changes in aboveground allometry of trees along gradients of temperature, aridity and competition, Global Ecology and Biogeography, Wiley, February 2012.
Drew W Purves and Stephen W Pacala. Predictive Models of Forest Dynamics, Science, 13 June 2008.
Thomas P Adams, Drew W Purves, and Stephen W Pacala. Understanding height-structured competition in forests: is there an R* for light?, Proceedings of the Royal Society Series B, January 2007.
Drew W Purves, Jeremy W Lichstein, Nikolay Strigul, and Stephen W Pacala. Predicting and understanding forest dynamics using a simple tractable model, Proceedings of the National Academy of Sciences USA, 29 October 2008.
Jeremy W Lichstein, Jonathan Dushoff, Kiona Ogle, Anping Chen, Drew W Purves, John Caspersen, and Stephen W Pacala. Unlocking the forest inventory data: relating individual-tree performance to unmeasured environmental factors, Ecological Applications, April 2010.
Drew Purves. The demography of range boundaries vs range cores in Eastern US tree species, Proceedings of the Royal Society Series B, 25 February 2009.