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Scale-dependent effects of conspecific flower availability on pollination quantity and quality in an invasive shrub

Overview of attention for article published in Oecologia, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Scale-dependent effects of conspecific flower availability on pollination quantity and quality in an invasive shrub
Published in
Oecologia, August 2018
DOI 10.1007/s00442-018-4239-7
Pubmed ID
Authors

L. Cavallero, C. L. Morales, A. Montero-Castaño, J. H. Gowda, M. A. Aizen

Abstract

Pollen limitation can strongly influence reproduction of pollinator-dependent plants. Flower abundance can affect pollination 'quantity' and 'quality' due to its influence on pollen availability and foraging patterns of pollinators, ultimately impacting on seed production. We complemented individual-based measurements with landscape-level metrics to assess the influence of conspecific flower availability at different spatial scales on the quantity and quality components of pollination, and their impact on seed production in the invasive shrub Cytisus scoparius. In 2013-2014, we sampled 40 C. scoparius populations in Nahuel Huapi National Park, Patagonia (Argentina). In each population, we estimated the proportion of tripped flowers, fruit- and seed-set in five randomly selected individuals. The proportion of tripped flowers and the proportion of them setting fruit were used as proxies of pollination quantity and quality, respectively. Conspecific flower availability at distinct spatial scales (5-1000 m) was estimated as the area covered by flowering C. scoparius from color aerial photographs. Flower availability influenced seed output due to contrasting scale-dependent effects on pollination quantity and quality. Increasing flower availability at the landscape-scale reduced pollination quantity, whereas at the neighborhood-scale it increased pollination quality. The overall positive effect of flower availability on seed output at the neighborhood scale was slightly higher than the overall negative effect at the landscape scale. Moreover, pollination quality had a higher positive effect on seed output than pollination quantity. Our results demonstrate that pollination quality may severely limit plant reproduction. Pollination quality limitation can act independently of pollination quantity limitation because these factors operate at different spatial scales.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 21%
Student > Ph. D. Student 10 21%
Student > Master 8 17%
Professor > Associate Professor 3 6%
Student > Bachelor 2 4%
Other 7 15%
Unknown 8 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 56%
Environmental Science 6 13%
Veterinary Science and Veterinary Medicine 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 10 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 September 2018.
All research outputs
#5,906,410
of 23,940,484 outputs
Outputs from Oecologia
#1,146
of 4,333 outputs
Outputs of similar age
#97,713
of 334,011 outputs
Outputs of similar age from Oecologia
#26
of 58 outputs
Altmetric has tracked 23,940,484 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,333 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 334,011 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 70% of its contemporaries.
We're also able to compare this research output to 58 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 56% of its contemporaries.