2023
Combining Tree-Ring Width and Density to Separate the Effects of Climate Variation and Insect Defoliation
KUNZ, Marcel, Jan ESPER, Eileen KUHL, Lea SCHNEIDER, Ulf BÜNTGEN et. al.Základní údaje
Originální název
Combining Tree-Ring Width and Density to Separate the Effects of Climate Variation and Insect Defoliation
Autoři
KUNZ, Marcel (garant), Jan ESPER, Eileen KUHL, Lea SCHNEIDER, Ulf BÜNTGEN (276 Německo, domácí) a Claudia HARTL
Vydání
Forests, MDPI, 2023, 1999-4907
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10510 Climatic research
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.900 v roce 2022
Kód RIV
RIV/00216224:14310/23:00131401
Organizační jednotka
Přírodovědecká fakulta
UT WoS
001036107200001
Klíčová slova anglicky
climate change; dendrochronology; European Alps; global change ecology; insect outbreaks; tree rings; extreme event detection
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 10. 8. 2023 12:06, Mgr. Marie Šípková, DiS.
Anotace
V originále
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.