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Meteorological Drivers of Extremes in Daily Stem Radius Variations of Beech, Oak, and Pine in Northeastern Germany: An Event Coincidence Analysis

  • Observed recent and expected future increases in frequency and intensity of climatic extremes in central Europe may pose critical challenges for domestic tree species. Continuous dendrometer recordings provide a valuable source of information on tree stem radius variations, offering the possibility to study a tree's response to environmental influences at a high temporal resolution. In this study, we analyze stem radius variations (SRV) of three domestic tree species (beech, oak, and pine) from 2012 to 2014. We use the novel statistical approach of event coincidence analysis (ECA) to investigate the simultaneous occurrence of extreme daily weather conditions and extreme SRVs, where extremes are defined with respect to the common values at a given phase of the annual growth period. Besides defining extreme events based on individual meteorological variables, we additionally introduce conditional and joint ECA as new multivariate extensions of the original methodology and apply them for testing 105 different combinations of variablesObserved recent and expected future increases in frequency and intensity of climatic extremes in central Europe may pose critical challenges for domestic tree species. Continuous dendrometer recordings provide a valuable source of information on tree stem radius variations, offering the possibility to study a tree's response to environmental influences at a high temporal resolution. In this study, we analyze stem radius variations (SRV) of three domestic tree species (beech, oak, and pine) from 2012 to 2014. We use the novel statistical approach of event coincidence analysis (ECA) to investigate the simultaneous occurrence of extreme daily weather conditions and extreme SRVs, where extremes are defined with respect to the common values at a given phase of the annual growth period. Besides defining extreme events based on individual meteorological variables, we additionally introduce conditional and joint ECA as new multivariate extensions of the original methodology and apply them for testing 105 different combinations of variables regarding their impact on SRV extremes. Our results reveal a strong susceptibility of all three species to the extremes of several meteorological variables. Yet, the inter-species differences regarding their response to the meteorological extremes are comparatively low. The obtained results provide a thorough extension of previous correlation-based studies by emphasizing on the timings of climatic extremes only. We suggest that the employed methodological approach should be further promoted in forest research regarding the investigation of tree responses to changing environmental conditions.show moreshow less

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Metadaten
Author:Jonatan F. Siegmund, Tanja G. M. Sanders, Ingo Heinrich, Ernst van der Maaten, Sonia Simard, Gerhard Helle, Reik V. Donner
DOI:https://doi.org/10.3389/fpls.2016.00733
ISSN:1664-462X
Pubmed Id:http://www.ncbi.nlm.nih.gov/pubmed?term=27375625
Parent Title (English):Frontiers in plant science
Publisher:Frontiers Research Foundation
Place of publication:Lausanne
Document Type:Article
Language:English
Year of first Publication:2016
Year of Completion:2016
Release Date:2020/03/22
Tag:climate extremes; dendrometer measurements; event coincidence analysis; growth response
Volume:7
Page Number:14
First Page:4701
Last Page:4712
Funder:German Federal Ministry for Education and Research (BMBF) [01LN1306A]; COST Action STReESS - COST (European Cooperation in Science and Technology) [FP1106]; Virtual Institute of Integrated Climate and Landscape Evolution Analysis-ICLEA [VH-VI-415]; Terrestrial Environmental Observatories project-TERENO-of Helmholtz Association; Evangelisches Studienwerk Villigst e.V.; Deutsche Forschungs-Gemeinschaft (DFG) [He 7220/1-1]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Erd- und Umweltwissenschaften
Peer Review:Referiert