Identifying seed families with high mixture performance in a subtropical forest biodiversity experiment

Afforestation projects using species mixtures are expected to better support ecosystem services than monoculture plantations. While grassland studies have shown natural selection favoring high-performance genotypes in species-rich communities, this has not been explored in forests. We used seed-family identity (known maternity) to represent genetic identity and investigated how this affected the biomass accumulation (i.e. growth) of individual trees (n = 13 435) along a species richness gradient (1-16 species) and over stand age (9 yr) in a forest biodiversity experiment. We found that among the eight species tested, different seed families responded differently to species richness, some of them growing relatively better in low-diversity plots and others in high-diversity plots. Furthermore, within-species growth variation increased with species richness and stand age, while between-species variation decreased with stand age. These results indicate that seed families within species and their reaction norms along the species richness gradient vary considerably and thus can explain a substantial proportion of the overall variation in tree growth. Our findings suggest that the growth and associated ecosystem services of species-rich mixtures in afforestation projects can be optimized by artificially selecting seed families with high mixture performance in biodiversity experiments.

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Publication Details

Journal
New Phytologist
Published
2025-04-04
DOI
https://doi.org/10.1111/nph.70130
Citations
2
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
Field-Weighted Citation Impact
4.63

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article

Identifying seed families with high mixture performance in a subtropical forest biodiversity experiment

Bernhard Schmid, Meredith C. Schuman, Walter Durka, Goddert von Oheimb et al.
2 citations
New Phytologist
Ecology and Vegetation Dynamics Studies
4.63
article

Identifying seed families with high mixture performance in a subtropical forest biodiversity experiment

Bernhard Schmid, Meredith C. Schuman, Walter Durka, Goddert von Oheimb, Ting Tang, Sofia J. van Moorsel, Franca J. Bongers, Yu Liang, Helge Bruelheide, Shan Li, Xiaojuan Liu, Keping Ma
article en
2 citations

Abstract

Afforestation projects using species mixtures are expected to better support ecosystem services than monoculture plantations. While grassland studies have shown natural selection favoring high-performance genotypes in species-rich communities, this has not been explored in forests. We used seed-family identity (known maternity) to represent genetic identity and investigated how this affected the biomass accumulation (i.e. growth) of individual trees (n = 13 435) along a species richness gradient (1-16 species) and over stand age (9 yr) in a forest biodiversity experiment. We found that among the eight species tested, different seed families responded differently to species richness, some of them growing relatively better in low-diversity plots and others in high-diversity plots. Furthermore, within-species growth variation increased with species richness and stand age, while between-species variation decreased with stand age. These results indicate that seed families within species and their reaction norms along the species richness gradient vary considerably and thus can explain a substantial proportion of the overall variation in tree growth. Our findings suggest that the growth and associated ecosystem services of species-rich mixtures in afforestation projects can be optimized by artificially selecting seed families with high mixture performance in biodiversity experiments.

New PhytologistVol. 246(6)
Helmholtz Centre for Environmental Research (DE), Chinese Academy of Sciences (CN), University of Zurich (CH), Beijing Botanical Garden (CN), German Centre for Integrative Biodiversity Research (DE), Institute of Botany (CN), University of Chinese Academy of Sciences (CN), China National Botanical Garden, Martin Luther University Halle-Wittenberg (DE), Technische Universität Dresden (DE), Wageningen University & Research (NL)
Deutsche Forschungsgemeinschaft, National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Universität Zürich, National Key Research and Development Program of China, Youth Innovation Promotion Association
Life in Land
Openalex Percentile: Top 7%
Ecology and Vegetation Dynamics Studies
4.63
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