Evidence map›Paper›PMID 33988759›Full record

ArticleEnvironmental monitoring and assessment2021

Digging into the roots: understanding direct and indirect drivers of ecosystem service trade-offs in coastal grasslands via plant functional traits.

Miguel A Cebrián-Piqueras, Juliane Trinogga, Anastasia Trenkamp, Vanessa Minden, Martin Maier, Jasmin Mantilla-Contreras

Abstract read
In one paragraph

Article in Environmental monitoring and assessment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Restoration transforms coastal wetland ecosystem services over time.Ecological applications : a publication of the Ecological Society of America · 2026
    Article
  2. Influence ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Miguel A Cebrián-PiquerasDepartment of Agricultural Economics and Rural Development, University of Göttingen, Platz der Göttinger Sieben 5, 37073, Göttingen, Germany. cebrian@uni-goettingen.de.ORCID http://orcid.org/0000-0002-2130-0921
Juliane TrinoggaInstitute of Biology and Environmental Sciences, University of Oldenburg, Carl von Ossietzky Str. 9-11, D-26129, Oldenburg, Germany.
Anastasia TrenkampEcology and Environmental Education Group, Institute of Biology and Chemistry, University of Hildesheim, Universitätsplatz 1, 31141, Hildesheim, Germany.
Vanessa MindenInstitute of Biology and Environmental Sciences, University of Oldenburg, Carl von Ossietzky Str. 9-11, D-26129, Oldenburg, Germany.
Martin MaierInstitute of Biology and Environmental Sciences, University of Oldenburg, Carl von Ossietzky Str. 9-11, D-26129, Oldenburg, Germany.
Jasmin Mantilla-ContrerasEcology and Environmental Education Group, Institute of Biology and Chemistry, University of Hildesheim, Universitätsplatz 1, 31141, Hildesheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EcosystemGrasslandEnvironmental MonitoringPlant LeavesPlant RootsPlantsBiodiversity effectsFunctional ecologyGrassland communitiesLand use intensificationLeaf economics spectrumPartial least squares structural equation modeling (PLS-SEM)Plant-soil interactionsRoot traitsTrait-based approach

Identifiers

PMID33988759
PMCPMC8121717

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.