Authors
Kristina J Anderson‐Teixeira, Valentine Herrmann, Christine R Rollinson, Bianca Gonzalez, Erika B Gonzalez‐Akre, Neil Pederson, M Ross Alexander, Craig D Allen, Raquel Alfaro‐Sánchez, Tala Awada, Jennifer L Baltzer, Patrick J Baker, Joseph D Birch, Sarayudh Bunyavejchewin, Paolo Cherubini, Stuart J Davies, Cameron Dow, Ryan Helcoski, Jakub Kašpar, James A Lutz, Ellis Q Margolis, Justin T Maxwell, Sean M McMahon, Camille Piponiot, Sabrina E Russo, Pavel Šamonil, Anastasia E Sniderhan, Alan J Tepley, Ivana Vašíčková, Mart Vlam, Pieter A Zuidema
Publication date
2022/1
Journal
Global Change Biology
Volume
28
Issue
1
Pages
245-266
Description
Tree rings provide an invaluable long‐term record for understanding how climate and other drivers shape tree growth and forest productivity. However, conventional tree‐ring analysis methods were not designed to simultaneously test effects of climate, tree size, and other drivers on individual growth. This has limited the potential to test ecologically relevant hypotheses on tree growth sensitivity to environmental drivers and their interactions with tree size. Here, we develop and apply a new method to simultaneously model nonlinear effects of primary climate drivers, reconstructed tree diameter at breast height (DBH), and calendar year in generalized least squares models that account for the temporal autocorrelation inherent to each individual tree's growth. We analyze data from 3811 trees representing 40 species at 10 globally distributed sites, showing that precipitation, temperature, DBH, and calendar year have …
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Scholar articles
KJ Anderson‐Teixeira, V Herrmann, CR Rollinson… - Global Change Biology, 2022