4.7 Article

Drought and frost contribute to abrupt growth decreases before tree mortality in nine temperate tree species

期刊

FOREST ECOLOGY AND MANAGEMENT
卷 382, 期 -, 页码 51-63

出版社

ELSEVIER
DOI: 10.1016/j.foreco.2016.10.001

关键词

Distributed lag non-linear models; Lagged effects; Tree rings; Breakpoint analysis

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资金

  1. Swiss National Science Foundation [140968]
  2. FOEN (Federal Office for the Environment)
  3. Swiss National Park
  4. Pro Natura Valais
  5. ETH
  6. WSL
  7. Swiss Federal Office for the Environment (FOEN)

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Tree mortality as a crucial element of natural forest dynamics is still a poorly understood process. Abrupt growth decreases are known to occur several years or decades before complete cessation of growth. Hence, identifying and linking these growth decreases to potential inciting factors such as drought and frost will improve our understanding of mortality processes. We analyzed nine Central European tree species including six coniferous species (Abies alba, Picea abies, Larix decidua, Pinus sylvestris, Pinus cembra, Pinus montana) and three broadleaved species (Fagus sylvatica, Quercus spp., Acer pseudoplatanus). Tree ring data from 848 standing dead trees from 14 forest reserves all over Switzerland were sampled. We applied distributed lag non-linear models to relate abrupt growth decreases to drought and frost. The results indicate for many species that both drought and frost have a moderate to major impact on abrupt growth decreases prior to tree death. While late frost in spring may instantaneously result in sustained abrupt growth decreases in most species except Scots pine and mountain pine, severe drought over several months in spring may either show an immediate negative impact on growth, such as in beech, or feature negative reactions that are lagged by several years, such as in oak and Scots pine. Thus, extreme climatic conditions have an essential influence on abrupt growth decreases that finally result in tree death, although variability of the reactions within and among species is high. (C) 2016 Elsevier B.V. All rights reserved.

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