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Climate impacts

2018 drought wilted about 11% of Central European forests

Brun P, Psomas A, Ginzler C, et al. · Global change biology · 2020

Open access · cc by · source: Europe PMC

The 2018 heat-and-drought summer triggered early wilting on about 11% of Central European forest area, worst in Germany and Czechia, with greening still reduced the next spring.

How this study connects

Role on claims

Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.

  • SupportsTime-Series Analysismethod

    The same method label also covers satellite NDVI time series. Random-forest maps trained on >300,000 classified orthophoto pixels plus NDVI found 2018 early wilting over about 21,524 km² (10.8% of Central European forest). Precipitation (negative) and temperature (positive) anomalies ranked among the top drivers. Wilted patches stayed less green in spring 2019 (NDVI gap +0.015 versus unaffected forest). The models explained 35–42% of deviance.

    Evidence for the claim as stated.

  • SupportsTime-Series Analysismethod

    The 2018 forest-wilting paper is an NDVI/climate time series, not a health Poisson model. Early wilting of 10.8% of forest and a spring-2019 NDVI gap of +0.015 answer a drought-impact question. That is a real disagreement of scientific target under the same method heading, not a second admissions estimate.

    Evidence for the claim as stated.

Open questions

Tensions this paper is part of

From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.

  • Scope difference — different assays, populations, or outcomes

    The 2018 forest-wilting paper is an NDVI/climate time series, not a health Poisson model. Early wilting of 10.8% of forest and a spring-2019 NDVI gap of +0.015 answer a drought-impact question. That is a real disagreement of scientific target under the same method heading, not a second admissions estimate.

Study at a glance

Design
Other — Remote-sensing map of 2018 early wilting from >300,000 classified pixels plus NDVI
N
~21,524 km² (~10.8%) of mapped Central European forest; pixel-based map, not a person/tree cohort N
Population
Central European forest canopies in the 2018 extreme drought
Outcome
Spatial extent and climate drivers of early wilting and lingering 2019 greenness loss

Structured fields used in claim comparison tables when every cited study has a complete layer.

Inspect source passages

2018 drought wilted about 11% of Central European forests

These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.

Early wilting was present in about 11% of investigated Central European forests.

Early wilting was present in about 11% of the Central European forests investigated.

May/June NDVI difference increased by 0.015 from 2018 to 2019 for wilted versus non-wilted patches.

On average, the May/June NDVI difference between forest patches affected by early wilting and non‐affected patches increased by 0.015 from 2018 to 2019.
Read passages in the original paper

Key findings

Early wilting covered about 21,524 km² (10.8% of forest). Precipitation (negative) and temperature (positive) anomalies ranked among the top drivers. Wilted patches stayed less green in spring 2019 (NDVI gap +0.015 versus unaffected forest).

Methodology

Authors trained random-forest models on >300,000 visually classified orthophoto pixels plus NDVI time series to map early wilting, then related patterns to 2018 climate anomalies, site factors, and May/June 2019 greenness.

Limitations

The map does not separate tree species mortality from reversible leaf browning, and 35–42% of deviance explained means many local factors remain unmeasured.

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