globalchange  > 气候变化与战略
DOI: 10.1029/2017GB005856
论文题名:
A Combined Tree Ring and Vegetation Model Assessment of European Forest Growth Sensitivity to Interannual Climate Variability
作者: Klesse S.; Babst F.; Lienert S.; Spahni R.; Joos F.; Bouriaud O.; Carrer M.; Di Filippo A.; Poulter B.; Trotsiuk V.; Wilson R.; Frank D.C.
刊名: Global Biogeochemical Cycles
ISSN: 0886-6236
EISSN: 1944-9224
出版年: 2018
卷: 32, 期:8
语种: 英语
英文关键词: aboveground biomass ; annual variation ; climate change ; climate effect ; data set ; dendroecology ; environmental gradient ; growth rate ; numerical model ; tree ring ; warming ; water demand
学科: aboveground biomass increment ; climate sensitivity ; interannual variability ; net primary productivity ; tree ring ; vegetation model
中文摘要: The response of forest growth to climate variability varies along environmental gradients. A growth increase and decrease with warming is usually observed in cold-humid and warm-dry regions, respectively. However, it remains poorly known where the sign of these temperature effects switches. Here we introduce a newly developed European tree ring network that has been specifically collected to reconstruct forest aboveground biomass increment (ABI). We quantify, how the long-term (1910–2009) interannual variability of ABI depends on local mean May–August temperature and test, if a dynamic global vegetation model ensemble reflects the resulting patterns. We find that sites at 8 °C mean May–August temperature increase ABI on average by 5.7 ± 1.3%, whereas sites at 20 °C decrease ABI by 3.0 ± 1.8% m−2 year−1 Δ°C−1. A threshold temperature between beneficial and detrimental effects of warming and the associated increase in water demand on tree growth emerged at 15.9 ± 1.4 °C mean May–August temperature. Because interannual variability increases proportionally with mean growth rate—that is, the coefficient of variation stays constant—we were able to validate these findings with a much larger tree ring data set that had been established following classic dendrochronological sampling schemes. While the observed climate sensitivity pattern is well reflected in the dynamic global vegetation model ensemble, there is a large spread of threshold temperatures between the individual models. Also, individual models disagree strongly on the magnitude of climate impact at the coldest and warmest locations, suggesting where model improvement is most needed to more accurately predict forest growth and effectively guide silvicultural practices. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160212
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作者单位: Swiss Federal Institute of Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland; Oeschger Centre for Climate Change Research, Bern, Switzerland; Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ, United States; Department of Ecology, W. Szafer Institute of Botany, Polish Academy of Sciences, Krakow, Poland; Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland; National Institute for Research-Development in Forestry, National Forest Inventory, Voluntari, Romania; Integrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control, Stefan cel Mare University of Suceava, Suceava, Romania; Dipartimento Territorio e Sistemi Agro-Forestali, Università degli Studi di Padova, Legnaro, Italy; Department of Agriculture and Forestry ScieNcE, Università della Tuscia, Viterbo, Italy; NASA GSFC, Biospheric Sciences Laboratory, Greenbelt, MD, United States; Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Prague, Czech Republic; Institute of Agricultural Sciences, Zurich, Switzerland; School of Earth and Environmental Sciences, University of St Andrews, Saint Andrews, United Kingdom; Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, United States

Recommended Citation:
Klesse S.,Babst F.,Lienert S.,et al. A Combined Tree Ring and Vegetation Model Assessment of European Forest Growth Sensitivity to Interannual Climate Variability[J]. Global Biogeochemical Cycles,2018-01-01,32(8)
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