title: Individual-scale inference to anticipate climate-change vulnerability of biodiversity.
abstract: Anticipating how biodiversity will respond to climate change is challenged by the fact that climate variables affect individuals in competition with others, but interest lies at the scale of species and landscapes. By omitting the individual scale, models cannot accommodate the processes that determine future biodiversity. We demonstrate how individual-scale inference can be applied to the problem of anticipating vulnerability of species to climate. The approach places climate vulnerability in the context of competition for light and soil moisture. Sensitivities to climate and competition interactions aggregated from the individual tree scale provide estimates of which species are vulnerable to which variables in different habitats. Vulnerability is explored in terms of specific demographic responses (growth, fecundity and survival) and in terms of the synthetic response (the combination of demographic rates), termed climate tracking. These indices quantify risks for individuals in the context of their competitive environments. However, by aggregating in specific ways (over individuals, years, and other input variables), we provide ways to summarize and rank species in terms of their risks from climate change.
authors.affiliation: Nicholas School of the Environment, Duke University, Durham, NC 27708, USA. jimclark@duke.edu
authors.forename: James S
authors.initials: JS
authors.lastname: Clark
authors.forename: David M
authors.initials: DM
authors.lastname: Bell
authors.forename: Matthew
authors.initials: M
authors.lastname: Kwit
authors.forename: Anne
authors.initials: A
authors.lastname: Stine
authors.forename: Ben
authors.initials: B
authors.lastname: Vierra
authors.forename: Kai
authors.initials: K
authors.lastname: Zhu
mesh_terms: D001499:Bayes Theorem; D044822:Biodiversity; D057231:Climate Change; D003198:Computer Simulation; D008954:Models, Biological; D008962:Models, Theoretical; D014197:Trees / Q000235:genetics / Q000254:growth & development*