| Literature DB >> 32124523 |
Martin Wilmking1, Marieke van der Maaten-Theunissen1,2, Ernst van der Maaten1,2, Tobias Scharnweber1, Allan Buras1,3, Christine Biermann4, Marina Gurskaya5, Martin Hallinger1, Jelena Lange1, Rohan Shetti1, Marko Smiljanic1, Mario Trouillier1.
Abstract
Tree-ring records provide global high-resolution information on tree-species responses to global change, forest carbon and water dynamics, and past climate variability and extremes. The underlying assumption is a stationary (time-stable), quasi-linear relationship between tree growth and environment, which however conflicts with basic ecological and evolutionary theory. Indeed, our global assessment of the relevant tree-ring literature demonstrates non-stationarity in the majority of tested cases, not limited to specific proxies, environmental parameters, regions or species. Non-stationarity likely represents the general nature of the relationship between tree-growth proxies and environment. Studies assuming stationarity however score 2 times more citations influencing other fields of science and the science-policy interface. To reconcile ecological reality with the application of tree-ring proxies for climate or environmental estimates, we provide a clarification of the stationarity concept, propose a simple confidence framework for the re-evaluation of existing studies and recommend the use of a new statistical tool to detect non-stationarity in tree-ring proxies. Our contribution is meant to stimulate and facilitate discussion in light of our results to help increase confidence in tree-ring based climate and environmental estimates for science, the public and policymakers. This article is protected by copyright. All rights reserved.Keywords: Climate reconstruction; dendroclimatology; model calibration; non-stationarity; proxy calibration; tree-rings
Year: 2020 PMID: 32124523 DOI: 10.1111/gcb.15057
Source DB: PubMed Journal: Glob Chang Biol ISSN: 1354-1013 Impact factor: 10.863