PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 18, 2026Forest Ecology and Management0 citationsOpen Access

Limited predictability of tree-level responses to drought across European forests

View Full Paper
DRDiego I. Rodríguez-HernándezFFFabian J. FischerDODuncan O'Brien

Key Points

  • The aim is to identify factors that affect how trees respond to drought and their resilience in European forests.
  • Used tree ring data from 2909 trees across 16 species in major European forest types.
  • Analyzed intrinsic factors (size, age, species) and extrinsic factors (local competition) affecting tree responses to drought.
  • Assessed growth recovery and resilience in relation to drought exposure and baseline attributes.
  • Trees with larger living crowns showed higher growth recovery post-drought.
  • Species-specific responses and forest type explained most variation in drought resilience.
  • Predictive ability for tree-level drought resilience was low (R² = 0.13–0.21), highlighting complexity.

Abstract

Climate change is increasing the frequency, duration and severity of extreme events such as heatwaves and droughts, pushing trees near or beyond their ecophysiological limits. Understanding what governs variability in how trees respond to drought – such as intrinsic factors related to their size, age, and species, or extrinsic factors shaped by their local competitive environment – is critical for predicting long-term forest resilience to climate change and developing climate-smart forest management strategies. Here, we use tree ring data from 2909 trees belonging to sixteen species distributed across Europe’s major forest types to comprehensively assess what factors contribute most to a tree’s ability to withstand and recover from extreme drought events. We found that trees with larger living crowns generally exhibited higher post-drought growth recovery and resilience, while trees exposed to lower drought intensities showed greater resistance. Conversely, neither the density nor the diversity of a tree’s local competitive neighbourhood had any clear influence on its response to drought. More generally, we found that our ability to predict whether a tree would exhibit drought resilience was low ( R 2 = 0.13–0.21) and was largely driven by species-specific responses and topographic variation across forest types, rather than by tree- and stand-level attributes. These findings highlight that drought responses are inherently complex to predict and strongly influenced by heterogeneous responses among species, shaped by forest type. Thus, integrating tree-ring, physiological, remote-sensing and fine-scale climatic data with mechanistic models represents a promising avenue for improving forecasts of future forest resilience to climate change. • Trees with larger living crowns exhibited greater growth resilience during drought. • Species-specific responses and forest type accounted for most of the variation. • Neighbourhood density and diversity showed no clear effects on drought resilience. • Our ability to predict tree-level drought resilience remained limited. • Forecasting future forest ecosystem resilience to drought remains challenging.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Rodríguez-Hernández et al. (2026) studied this question.

synapsesocial.com/papers/6a0aac6d5ba8ef6d83b6fdc2https://doi.org/10.1016/j.foreco.2026.123899
Ask AI
Helpful
Bookmark
Share
View Full Paper