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Related Experiment Video

Updated: Jul 15, 2026

A Technical Perspective in Modern Tree-ring Research - How to Overcome Dendroecological and Wood Anatomical Challenges

A Technical Perspective in Modern Tree-ring Research - How to Overcome Dendroecological and Wood Anatomical Challenges

Published on: March 5, 2015

Climate variability drives recent tree mortality in Europe.

Mathias Neumann¹, Volker Mues², Adam Moreno³

¹Institute of Silviculture, University of Natural Resources and Life Sciences, Vienna, Austria.

Global Change Biology

|April 19, 2017

Summary

Climate variability, including warm summers and precipitation changes, significantly impacts tree mortality across Europe. Remote sensing data can help predict widespread tree death, aiding forest management strategies.

Keywords:

climate extremes disturbance early warning forest decline forest dieback net primary production remote sensing

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Tree Core Analysis with X-ray Computed Tomography

Tree Core Analysis with X-ray Computed Tomography

Published on: September 22, 2023

Area of Science:

Ecology
Forestry
Climate Science

Background:

Tree mortality is a critical forest process, yet poorly understood, with recent global increases observed.
Changes in tree death rates can significantly impact ecosystem functions and services.
A consistent pan-European forest monitoring network provides data on continental-scale tree mortality patterns.

Purpose of the Study:

To analyze continental-scale patterns of recent tree mortality in Europe.
To determine the influence of climate variability and tree age on tree mortality.
To explore the potential of remote sensing for predicting tree mortality.

Main Methods:

Analysis of 925,462 annual observations from 235,895 trees (2000-2012).
Application of Cox proportional hazard models to assess climate and age influences.
Utilized satellite-derived net primary productivity (NPP) data.

Main Results:

Hotspots of recent tree mortality identified in southern and northern Europe.
Warm summers and high seasonal precipitation variability increased tree death likelihood.
Tree mortality probability decreased with age within the first century; reduced cold-induced mortality may offset some warming impacts.
Satellite-derived NPP explained a significant portion of tree mortality variation.

Conclusions:

Seasonal and diurnal climate variations are key drivers of large-scale tree mortality.
Tree age is a significant factor influencing mortality rates.
Remote sensing products offer potential as early warning indicators for widespread tree mortality events.