J 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.