Cracking the Code of Biodiversity Responses to Past Climate Change. (October 2018)

• Record Type: Journal Article
• Authors: Nogués-Bravo, David; Rodríguez-Sánchez, Francisco; Orsini, Luisa; de Boer, Erik; Jansson, Roland; Morlon, Helene; Fordham, Damien A.; Jackson, Stephen T.
• Is Part Of: Trends in ecology & evolution. Volume 33:Number 10(2018)
• Page Start: 765
• Page End: 776
• Publication Date: 2018-10
• Subjects: adaptation -- dispersal -- extinction -- models -- experiments -- paleoecology -- forecast; Ecology -- Periodicals; Evolution (Biology) -- Periodicals; 576.8
• DOI: 10.1016/j.tree.2018.07.005
• Languages: English
• ISSNs: 0169-5347

Abstract

Abstract : How individual species and entire ecosystems will respond to future climate change are among the most pressing questions facing ecologists. Past biodiversity dynamics recorded in the paleoecological archives show a broad array of responses, yet significant knowledge gaps remain. In particular, the relative roles of evolutionary adaptation, phenotypic plasticity, and dispersal in promoting survival during times of climate change have yet to be clarified. Investigating the paleo-archives offers great opportunities to understand biodiversity responses to future climate change. In this review we discuss the mechanisms by which biodiversity responds to environmental change, and identify gaps of knowledge on the role of range shifts and tolerance. We also outline approaches at the intersection of paleoecology, genomics, experiments, and predictive models that will elucidate the processes by which species have survived past climatic changes and enhance predictions of future changes in biological diversity. Highlights: The study of biodiversity responses to past climate change can greatly help us understand current threats and forecast future responses. There is ample evidence of effective migration, in situ tolerance, and adaptation in response to past climate changes. But there is also evidence of widespread extinctions. The unprecedented nature of modern global change greatly complicates prediction. Large uncertainties remain about the expected rates of migration and evolutionary adaptation, or the role of phenotypic plasticity in avoiding extinction. Integrative research programmes combining paleorecords (e.g., fossils, ancient genomics) with mechanistic models and experiments (e.g., resurrection experiments) hold great promise to improve our understanding and predictive ability.