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Coupled, decoupled, and abrupt responses of vegetation to climate across timescales

Coupled, decoupled, and abrupt responses of vegetation to climate across timescales

This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.

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Authors

David Fastovich, Stephen Meyers, Erin E Saupe, John Warren Williams , Maria Dornelas, Elizabeth M. Dowding, Seth Finnegan, Huai-Hsuan M. Huang, Lukas Jonkers, Wolfgang Kiessling, Ádám T Kocsis, Qijian Li, Lee Hsiang Liow, Lin Na, Amelia M Penny, Kate Pippenger, Johan Renaudie, Marina C Rillo, Jansen Smith, Manuel J. Steinbauer, Mauro Sugawara, Adam Tomašovỳch, Moriaki Yasuhara, Pincelli Hull

Abstract

Climate and ecosystem dynamics vary across timescales, but research into climate-driven vegetation dynamics usually focuses on singular timescales. We develop a spectral analysis-based approach that provides detailed estimates of the timescales at which vegetation tracks climate change, from 101 to 105 years. We report similarity of vegetation and climate even at centennial frequencies (149-1 to 18,012-1 years-1). A breakpoint in vegetation turnover (797-1 years-1) matches a breakpoint between stochastic and autocorrelated climate processes, suggesting that ecological dynamics are governed by climate across these frequencies. Heightened vegetation turnover at millennial frequencies (4,650-1 years-1) highlights the risk of abrupt responses to climate change, while vegetation-climate decoupling at frequencies >149-1 years-1 may indicate long-lasting consequences of anthropogenic climate change for ecosystem function and biodiversity.

DOI

https://doi.org/10.31223/X5S98P

Subjects

Earth Sciences

Keywords

Spectral power continuum, community turnover, climate variability, dynamic equilibrium, non-linear ecological dynamics, temporal beta diversity, Vegetation, community turnover, Climate variability, dynamic equilibrium, non-linear ecological dynamics, temporal beta diversity, Vegetation

Dates

Published: 2024-07-12 11:57

Last Updated: 2025-03-27 20:41

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License

CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

Additional Metadata

Data Availability (Reason not available):
Data and code needed to reproduce all analyses are available on Zenodo (doi: 10.5281/zenodo.12726799).