4.7 Article

Inferring local to regional changes in forest composition from Holocene macrofossils and pollen of a small lake in central Upper Michigan

期刊

QUATERNARY SCIENCE REVIEWS
卷 98, 期 -, 页码 60-73

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.quascirev.2014.05.030

关键词

Holocene; Plant macrofossils; Pollen; Michigan; North America; Paleoecology; Forest history; Vegetation; Scale

资金

  1. National Science Foundation [DEB 0345012, ATM-0402660, EPS-0447681]
  2. United States Geological Survey - Biological Resources Division [1434-98HQAG2181]

向作者/读者索取更多资源

Vegetational response to climatic change involves processes of population and community dynamics within local stands, which scale up to landscape-level changes in vegetation composition and broad-scale changes in species distributions. Understanding these dynamics poses a critical challenge to paleoecological explanation, because of the broad range of scales at which these dynamics take place and interact. We present an 8600-year paleoecological record of local and regional changes in forest composition from a small (2.6 ha) lake in central Upper Michigan. Plant macrofossils provide a spatially precise record of local forest composition, while pollen data provide a spatially integrated record of regional vegetational changes. Temporal patterns among different macrofossil types within species show overall coherence, indicating that changes in macrofossil abundance generally record changes in local tree abundance. Temporal patterns in macrofossil sequences correspond to patterns in pollen sequences, indicating that local changes contributed to the large-scale changes in the surrounding region. The pollen and macrofossil records show nearly continuous turnover in vegetation composition throughout the past 8600 years; the longest period without major compositional change was ca 1600 years, and dynamics at multidecadal to multicentennial scales are observed during many periods. Coordinated application of temporally precise sequences of pollen and macrofossil data at multiple sites can support inferences concerning vegetation dynamics at multiple spatial and temporal scales, and test mechanistic hypotheses. Published by Elsevier Ltd.

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