Experimental enhancement of structural heterogeneity in forest landscapes promotes multidimensional hoverfly diversity

Abstract The homogenization of temperate forests due to intensive management has led to biodiversity loss at local and landscape scales, threatening species persistence and ecosystem functions. However, experimental evidence on how structural heterogeneity among forest patches influences diversity at the landscape scale is lacking. Here, we test whether enhancing structural heterogeneity, via diverse deadwood enrichment and canopy gap creation treatments (Enhancement of Structural Beta Complexity, ESBC), can increase hoverfly diversity within landscapes and elucidate the contributions of local (α) diversity enrichment and turnover (β‐diversity) to this effect. We conducted a large‐scale forest experiment in 11 regions across Germany. Each region included two districts, representing small forest landscapes. In one district, we implemented patches with ESBC treatments, while in the other, serving as the control, we established patches without ESBC. Hoverflies were sampled in three seasonal intervals and across, in total, 234 forest patches (50 × 50 m; ESBC: 117, Control: 117) using pan traps. We applied a new integrative meta‐analytic framework that incorporates sample completeness to quantify taxonomic, functional, and phylogenetic diversity (TD, FD, PD) using Hill numbers at α, β, and γ scales. All three γ‐diversity dimensions—TD, FD and PD—were significantly higher in structurally heterogeneous forest landscapes than in homogeneous ones. The strongest effects were observed for TD, indicating functional and phylogenetic redundancy among species. Effect sizes declined with increasing order of Hill numbers, suggesting that rare species benefit most from structural heterogeneity. In most regions, γ‐diversity gains were driven by increases in α‐diversity rather than β‐diversity, highlighting the importance of interventions to increase local structural complexity. However, several regions also showed elevated β‐diversity, indicating context‐dependent effects of spatial heterogeneity. Synthesis and applications . Our results provide the first experimental evidence that enhancing structural heterogeneity at the landscape scale can restore multidimensional hoverfly diversity in temperate forests. They underscore the management value of ESBC as a scalable tool to restore biodiversity, increase ecological resilience and counteract biotic homogenization in production forests.

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Publication Details

Journal
Journal of Applied Ecology
Published
2025-12-12
DOI
https://doi.org/10.1111/1365-2664.70252
Citations
1
Primary Topic
Forest Ecology and Biodiversity Studies
Type
article
Field-Weighted Citation Impact
1.67

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article

Experimental enhancement of structural heterogeneity in forest landscapes promotes multidimensional hoverfly diversity

Anne Chao, Oliver Mitesser, Clàudia Massó Estaje, Alice Claßen et al.
1 citations
Journal of Applied Ecology
Forest Ecology and Biodiversity Studies
1.67
article

Experimental enhancement of structural heterogeneity in forest landscapes promotes multidimensional hoverfly diversity

Anne Chao, Oliver Mitesser, Clàudia Massó Estaje, Alice Claßen, Ingolf Steffan‐Dewenter, Jörg C. Müller, Marija Miličić, Ante Vujić, Julia Rothacher
article en
1 citations

Abstract

Abstract The homogenization of temperate forests due to intensive management has led to biodiversity loss at local and landscape scales, threatening species persistence and ecosystem functions. However, experimental evidence on how structural heterogeneity among forest patches influences diversity at the landscape scale is lacking. Here, we test whether enhancing structural heterogeneity, via diverse deadwood enrichment and canopy gap creation treatments (Enhancement of Structural Beta Complexity, ESBC), can increase hoverfly diversity within landscapes and elucidate the contributions of local (α) diversity enrichment and turnover (β‐diversity) to this effect. We conducted a large‐scale forest experiment in 11 regions across Germany. Each region included two districts, representing small forest landscapes. In one district, we implemented patches with ESBC treatments, while in the other, serving as the control, we established patches without ESBC. Hoverflies were sampled in three seasonal intervals and across, in total, 234 forest patches (50 × 50 m; ESBC: 117, Control: 117) using pan traps. We applied a new integrative meta‐analytic framework that incorporates sample completeness to quantify taxonomic, functional, and phylogenetic diversity (TD, FD, PD) using Hill numbers at α, β, and γ scales. All three γ‐diversity dimensions—TD, FD and PD—were significantly higher in structurally heterogeneous forest landscapes than in homogeneous ones. The strongest effects were observed for TD, indicating functional and phylogenetic redundancy among species. Effect sizes declined with increasing order of Hill numbers, suggesting that rare species benefit most from structural heterogeneity. In most regions, γ‐diversity gains were driven by increases in α‐diversity rather than β‐diversity, highlighting the importance of interventions to increase local structural complexity. However, several regions also showed elevated β‐diversity, indicating context‐dependent effects of spatial heterogeneity. Synthesis and applications . Our results provide the first experimental evidence that enhancing structural heterogeneity at the landscape scale can restore multidimensional hoverfly diversity in temperate forests. They underscore the management value of ESBC as a scalable tool to restore biodiversity, increase ecological resilience and counteract biotic homogenization in production forests.

Journal of Applied EcologyVol. 63(1)
Hochschule Bremen (DE), University of Novi Sad (RS), University of Bremen (DE), National Tsing Hua University (TW), University of Würzburg (DE), Bavarian Forest National Park (DE), Institute of Forest Ecology of the Slovak Academy of Sciences (SK), BioSense Institute (RS)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 12%
Forest Ecology and Biodiversity Studies
1.67
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