植被(病理学)
气候变化
生态系统
环境科学
气候学
生态学
地理
自然地理学
大气科学
地质学
生物
医学
病理
作者
David Fastovich,Stephen R. Meyers,Erin E. Saupe,John W. Williams,María Dornelas,Elizabeth M. Dowding,Seth Finnegan,Huai‐Hsuan May Huang,Lukas Jonkers,Wolfgang Kiessling,Ádám T. Kocsis,Qijian Li,Lee Hsiang Liow,Lin Na,Amelia Penny,Kate Pippenger,Johan Renaudie,Marina C. Rillo,Jansen A. Smith,Manuel J. Steinbauer
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2025-07-03
卷期号:389 (6755): 64-68
被引量:7
标识
DOI:10.1126/science.adr6700
摘要
Climate and ecosystem dynamics vary across timescales, but research into climate-driven vegetation dynamics usually focuses on singular timescales. We developed a spectral analysis–based approach that provides detailed estimates of the timescales at which vegetation tracks climate change, from 10 1 to 10 5 years. We report dynamic similarity of vegetation and climate even at centennial frequencies (149 −1 to 18,012 −1 year −1 , that is, one cycle per 149 to 18,012 years). A breakpoint in vegetation turnover (797 −1 year −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 (4650 −1 year −1 ) highlights the risk of abrupt responses to climate change, whereas vegetation-climate decoupling at frequencies >149 −1 year −1 may indicate long-lasting consequences of anthropogenic climate change for ecosystem function and biodiversity.
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