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Does vegetation complexity affect host plant chemistry, and thus multitrophic interactions, in a human-altered landscape?

Overview of attention for article published in Oecologia, May 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Does vegetation complexity affect host plant chemistry, and thus multitrophic interactions, in a human-altered landscape?
Published in
Oecologia, May 2015
DOI 10.1007/s00442-015-3347-x
Pubmed ID
Authors

Nicole Wäschke, Christine Hancock, Monika Hilker, Elisabeth Obermaier, Torsten Meiners

Abstract

Anthropogenic land use may shape vegetation composition and affect trophic interactions by altering concentrations of host plant metabolites. Here, we investigated the hypotheses that: (1) plant N and defensive secondary metabolite contents of the herb Plantago lanceolata are affected by land use intensity (LUI) and the surrounding vegetation composition (=plant species richness and P. lanceolata density), and that (2) changes in plant chemistry affect abundances of the herbivorous weevils Mecinus pascuorum and Mecinus labilis, as well as their larval parasitoid Mesopolobus incultus, in the field. We determined plant species richness, P. lanceolata density, and abundances of the herbivores and the parasitoid in 77 grassland plots differing in LUI index in three regions across Germany. We also measured the N and secondary metabolite [the iridoid glycosides (IGs) aucubin and catalpol] contents of P. lanceolata leaves. Mixed-model analysis revealed that: (1) concentrations of leaf IGs were positively correlated with plant species richness; leaf N content was positively correlated with the LUI index. Furthermore: (2) herbivore abundance was not related to IG concentrations, but correlated negatively with leaf N content. Parasitoid abundance correlated positively only with host abundance over the three regions. Structural equation models revealed a positive impact of IG concentrations on parasitoid abundance in one region. We conclude that changes in plant chemistry due to land use and/or vegetation composition may affect higher trophic levels and that the manifestation of these effects may depend on local biotic or abiotic features of the landscape.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 4%
Mexico 1 2%
Indonesia 1 2%
Unknown 42 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 8 17%
Student > Master 5 11%
Lecturer 2 4%
Student > Bachelor 2 4%
Other 5 11%
Unknown 12 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 59%
Environmental Science 2 4%
Medicine and Dentistry 2 4%
Psychology 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 0 0%
Unknown 13 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 December 2015.
All research outputs
#12,863,799
of 22,805,349 outputs
Outputs from Oecologia
#2,828
of 4,215 outputs
Outputs of similar age
#118,379
of 266,320 outputs
Outputs of similar age from Oecologia
#29
of 63 outputs
Altmetric has tracked 22,805,349 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,215 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,320 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.