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KUNZ, Marcel, Jan ESPER, Eileen KUHL, Lea SCHNEIDER, Ulf BÜNTGEN and Claudia HARTL. Combining Tree-Ring Width and Density to Separate the Effects of Climate Variation and Insect Defoliation. Forests. MDPI, 2023, vol. 14, No 7, p. 1-15. ISSN 1999-4907. Available from: https://dx.doi.org/10.3390/f14071478.
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Basic information
Original name Combining Tree-Ring Width and Density to Separate the Effects of Climate Variation and Insect Defoliation
Authors KUNZ, Marcel (guarantor), Jan ESPER, Eileen KUHL, Lea SCHNEIDER, Ulf BÜNTGEN (276 Germany, belonging to the institution) and Claudia HARTL.
Edition Forests, MDPI, 2023, 1999-4907.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10510 Climatic research
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.900 in 2022
RIV identification code RIV/00216224:14310/23:00131401
Organization unit Faculty of Science
Doi http://dx.doi.org/10.3390/f14071478
UT WoS 001036107200001
Keywords in English climate change; dendrochronology; European Alps; global change ecology; insect outbreaks; tree rings; extreme event detection
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 10/8/2023 12:06.
Abstract
Though frequently used in dendroclimatology, European larch (Larix decidua Mill.) is regularly defoliated by mass outbreaks of the larch budmoth (Zeiraphera griseana Hb., LBM). The near-cyclic growth depressions are unrelated to but possibly coincide with cold summers, which challenges signal detection on interannual timescales. LBM defoliation events cause sharp maximum latewood density declines and irregular earlywood/latewood ratios in the outbreak year, followed by one or two anomalously narrow rings. Here, we present a process-based method integrating these diverse response patterns to identify and distinguish LBM-related signals from climate-induced deviations. Application to larch sites along elevational transects in the Swiss Alps reveals the algorithm to perform better than existing extreme event detection methods, though our approach enables additional differentiation between insect- and climate-induced signatures. The new process-based multi-parameter algorithm is a suitable tool to identify different causes of growth disturbances and will therefore help to improve both tree-ring-based climate and insect defoliation reconstructions.
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