Digging into the roots: understanding direct and indirect drivers of ecosystem service trade-offs in coastal grasslands via plant functional traits
Cebrián-Piqueras, M.A.; Trinogga, J.; Trenkamp, A.; Minden, V.; Maier, M.; Mantilla-Contreras, J. (2021). Digging into the roots: understanding direct and indirect drivers of ecosystem service trade-offs in coastal grasslands via plant functional traits. Environ. Monit. Assess. 193(SUPPL 1): 271. https://dx.doi.org/10.1007/s10661-020-08817-x
In: Environmental Monitoring and Assessment. Kluwer: Dordrecht. ISSN 0167-6369; e-ISSN 1573-2959, more
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| Keyword |
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| Author keywords |
Trait-based approach; Functional ecology; Partial least squares structural equation modeling (PLS-SEM); Biodiversity effects; Land use intensification; Grassland communities; Plant-soil interactions; Leaf economics spectrum; Root traits |
| Authors | | Top |
- Cebrián-Piqueras, M.A.
- Trinogga, J.
- Trenkamp, A.
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- Minden, V., more
- Maier, M.
- Mantilla-Contreras, J.
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| Abstract |
Recent empirical and theoretical approaches have called for an understanding of the processes underpinning ecosystem service provision. Environmental gradients have shown effects on key plant functional traits that subsequently explain ecosystem properties of several systems. However, little is known concerning how associations between plant functional traits, including both below- and aboveground plant components, predict ecosystem properties and independently measured final ecosystem services. Here, we modeled (1) the responses of the leaf and plant economics spectrum, Plant size axis, and root growth to environmental gradients and (2) how associations between plant functional traits explain trade-offs and synergies between multiple ecosystem properties and final services. Forty-four plots were studied in a coastal marsh landscape of the German North Sea Coast. We used a partial least square structural equation model approach to test the hypothesized model. We found (1) a negative covariation between plant traits pertaining to a size axis and traits explaining both plant growth (roots and stems) and the leaf economics spectrum; (2) this trade-off responded significantly to the land use gradient and nutrient availability, which were both strongly driven by the groundwater gradient; (3) this trade-off explained an initial major trade-off between carbon stocks, at one extreme of the axis, and both the habitat value to conserve endangered plants and forage production for meat and dairy products at the other extreme. However, a secondary trade-off between nature conservation value and forage production, explained by a trade-off between leaf economics spectrum and plant growth in response to the land use intensity gradient, was also found. |
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