Abstract
Forest microclimates, their buffering through forest structure, and their impact on biodiversity are crucial for future forest management under climate change. However, standard approaches for measuring forest microclimates do not capture small-scale heterogeneity, which, according to the habitat heterogeneity hypothesis, is a driver of biodiversity. We quantified horizontal and vertical microclimatic heterogeneity within 30 broad-leaved forest plots (0.25 ha) in Central Europe using a three-dimensional design with high spatial resolution. Moreover, we examined whether microclimatic heterogeneity differs among silvicultural treatments and whether it can be predicted using forest structure indices derived from laser scanning. Additionally, we explored the relationship between microclimatic heterogeneity and biodiversity. In canopy gaps, warm and cold habitats co-existed in close proximity, leading to a high horizontal microclimatic heterogeneity. In closed stands with high structural complexity, we found steep gradients of decreasing temperature and vapor pressure deficit from the canopy to deep shade conditions at the forest floor during mid-day. Canopy cover and forest structural complexity were strong indicators of microclimatic heterogeneity. We found positive relationships between herb layer temperature heterogeneity and the diversity of plants, Hymenoptera, and Diptera. Our results demonstrate that single-point measurements fail to capture the substantial microclimatic heterogeneity within plots, potentially misrepresenting the conditions experienced by forest species. However, laser scanning provides reliable indicators for within-plot microclimatic heterogeneity. With canopy gaps featuring high horizontal microclimatic heterogeneity and promoting the biodiversity of several taxonomic groups, we argue that managing forests for maximized temperature buffering should not be the only strategy to conserve forest biodiversity.
| Original language | English |
|---|---|
| Article number | 114874 |
| Journal | Ecological Indicators |
| Volume | 187 |
| Number of pages | 12 |
| ISSN | 1470-160X |
| DOIs | |
| Publication status | Published - 06.2026 |
Bibliographical note
Publisher Copyright:© 2026 The Authors.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Research areas and keywords
- canopy gaps
- forest biodiversity
- Habitat heterogeneity hypothesis
- mobile laser scanning
- vertical gradient
- Biodiversity
- Forest structure
- Microclimate
- Ecosystem
- Spatial heterogeneity
- Community structure
- Species richness
- Forest ecology
- Ecosystems Research
ASJC Scopus Subject Areas
- General Decision Sciences
- Ecology, Evolution, Behavior and Systematics
- Ecology
- Decision Sciences(all)
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