title: Competition-interaction landscapes for the joint response of forests to climate change.
abstract: The recent global increase in forest mortality episodes could not have been predicted from current vegetation models that are calibrated to regional climate data. Physiological studies show that mortality results from interactions between climate and competition at the individual scale. Models of forest response to climate do not include interactions because they are hard to estimate and require long-term observations on individual trees obtained at frequent (annual) intervals. Interactions involve multiple tree responses that can only be quantified if these responses are estimated as a joint distribution. A new approach provides estimates of climate–competition interactions in two critical ways, (i) among individuals, as a joint distribution of responses to combinations of inputs, such as resources and climate, and (ii) within individuals, due to allocation requirements that control outputs, such as demographic rates. Application to 20 years of data from climate and competition gradients shows that interactions control forest responses, and their omission from models leads to inaccurate predictions. Species most vulnerable to increasing aridity are not those that show the largest growth response to precipitation, but rather depend on interactions with the local resource environment. This first assessment of regional species vulnerability that is based on the scale at which climate operates, individual trees competing for carbon and water, supports predictions of potential savannification in the southeastern US.
authors.forename: James S
authors.initials: JS
authors.lastname: Clark
authors.forename: David M
authors.initials: DM
authors.lastname: Bell
authors.forename: Matthew C
authors.initials: MC
authors.lastname: Kwit
authors.forename: Kai
authors.initials: K
authors.lastname: Zhu
mesh_terms: D001499:Bayes Theorem; D057231:Climate Change; D065928:Forests; D008954:Models, Biological; D009657:North Carolina; D014197:Trees / Q000254:growth & development*