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Large‐scale early‐wilting response of Central European forests to the 2018 extreme drought

Philipp Brun; Achilleas Psomas; Christian Ginzler; Wilfried Thuiller; Massimiliano Zappa; Niklaus E. Zimmermann
Global Change Biology · Vol. 26, Issue 12 · pp. 7021-7035 · 2020

Abstract

The combination of drought and heat affects forest ecosystems by deteriorating the health of trees, which can lead to large‐scale die‐offs with consequences on biodiversity, the carbon cycle, and wood production. It is thus crucial to understand how drought events affect tree health and which factors determine forest susceptibility and resilience. We analyze the response of Central European forests to the 2018 summer drought with 10 × 10 m satellite observations. By associating time‐series statistics of the Normalized Difference Vegetation Index (NDVI) with visually classified observations of early wilting, we show that the drought led to early leaf‐shedding across 21,500 ± 2,800 km 2 , in particular in central and eastern Germany and in the Czech Republic. High temperatures and low precipitation, especially in August, mostly explained these large‐scale patterns, with small‐ to medium‐sized trees, steep slopes, and shallow soils being important regional risk factors. Early wilting revealed a lasting impact on forest productivity, with affected trees showing reduced greenness in the following spring. Our approach reliably detects early wilting at the resolution of large individual crowns and links it to key environmental drivers. It provides a sound basis to monitor and forecast early‐wilting responses that may follow the droughts of the coming decades.

Bibliographic Information

JournalGlobal Change Biology
PublisherWiley
Publication Date2020-12-01
Publication Year2020
Volume26
Issue12
Pages7021-7035
Document TypeJournal Article
Print ISSN1354-1013
eISSN1365-2486
DOI10.1111/gcb.15360
SubjectConservation Science

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NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/13652486
Publisher PageOpen Publisher Page
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