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

• 成果类型: Article
• 署名作者: Fastovich, David; Meyers, Stephen R.; Saupe, Erin E.; Williams, John W.; Dornelas, Maria; Dowding, Elizabeth M.; Finnegan, Seth; Huang, Huai-Hsuan M.; Jonkers, Lukas; Kiessling, Wolfgang; Kocsis, Adam T.; Li, Qijian; Liow, Lee Hsiang; Na, Lin; Penny, Amelia M.; Pippenger, Kate; Renaudie, Johan; Rillo, Marina C.; Smith, Jansen; Steinbauer, Manuel J.; Sugawara, Mauro; Tomasovych, Adam; Yasuhara, Moriaki; Hull, Pincelli M.
• 署名单位: Syracuse University; University System of Georgia; University of Georgia; University of Wisconsin System; University of Wisconsin Madison; University of Oxford; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; University of St Andrews; Universidade de Lisboa; University of Erlangen Nuremberg; University of California System; University of California Berkeley; University of California System; University of California Berkeley; Smithsonian Institution; Smithsonian Tropical Research Institute; Princeton University; University of Bremen; Chinese Academy of Sciences; Chinese Academy of Sciences; University of Oslo; University of Oslo; University of Edinburgh; Yale University; Leibniz Institut fur Evolutions und Biodiversitatsforschung; Carl von Ossietzky Universitat Oldenburg; University of Minnesota System; University of Minnesota Duluth; University of Bayreuth; University of British Columbia; Slovak Academy of Sciences; Earth Science Institute, SAS; University of Hong Kong; University of Hong Kong; University of Hong Kong; University of Hong Kong; City University of Hong Kong; Yale University; Swiss Federal Institutes of Technology Domain; Swiss Federal Institute for Forest, Snow & Landscape Research
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-12778
• DOI: 10.1126/science.adr6700
• 发表日期: 2025-07-03
• 页码: 64-68
• 关键词: ring data-bank; global temperature; models; variability

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.