Publication Details |
| Category | Data Publication |
| DOI | 10.5061/dryad.pnvx0k6w4 |
| Licence |
|
| Title (Primary) | Data from: Identifying seed families with high mixture performance in a subtropical forest biodiversity experiment |
| Author | Tang, T.; Liu, X.; Ma, K.; Li, S.; von Oheimb, G.; Durka, W.
; Bruelheide, H. |
| Source Titel | Dryad |
| Year | 2024 |
| Department | BZF |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Abstract | Summary 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. |
| linked UFZ text publications | |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=30680 |
| Tang, T., Liu, X., Ma, K., Li, S., von Oheimb, G., Durka, W., Bruelheide, H. (2024): Data from: Identifying seed families with high mixture performance in a subtropical forest biodiversity experiment Dryad 10.5061/dryad.pnvx0k6w4 |
|