Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Tree Diversity Increases Forest Temperature Buffering via Enhancing Canopy Density and Structural Diversity

Florian Schnabel; Rémy Beugnon; Bo Yang; Ronny Richter; Nico Eisenhauer; Yuanyuan Huang; Xiaojuan Liu; Christian Wirth; Simone Cesarz; Andreas Fichtner; Maria D. Perles‐Garcia; G. Hahn; Werner Härdtle; Matthias Kunz; Nadia C. Castro Izaguirre; Pascal A. Niklaus; Goddert von Oheimb; Bernhard Schmid; Stefan Trogisch; Manfred Wendisch; Keping Ma; Helge Bruelheide

Ecology Letters · 2025

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Summary

This study, likely drawing on the BEF-China biodiversity–ecosystem functioning experiment, investigates the mechanisms by which tree diversity enhances forest microclimate buffering. It provides evidence that more diverse forests maintain cooler, more stable sub-canopy temperatures, principally through increases in canopy density and structural heterogeneity. The findings contribute to understanding how biodiversity loss may exacerbate local warming effects, with relevance to forest management under climate change.

UK applicability

Although conducted in a subtropical Chinese forest context, the principle that higher tree diversity enhances microclimate buffering is likely transferable to UK temperate woodlands and has implications for native woodland creation, agroforestry design, and forest resilience policy under increasing heat stress scenarios.

Key measures

Forest temperature buffering (°C difference between sub-canopy and ambient temperature); canopy density (leaf area index or similar); canopy structural diversity; tree species richness

Outcomes reported

The study examined how tree species diversity influences forest temperature buffering, measuring the extent to which diverse canopies moderate sub-canopy temperatures relative to ambient conditions. It assessed the mediating roles of canopy density and structural diversity in explaining the diversity–buffering relationship.

Theme
Climate & resilience
Subject
Forest ecology & microclimate
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Mixed forest / silviculture
DOI
10.1111/ele.70096
Catalogue ID
NRmo3f02hq-07l

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