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Vegetation in clear‐cuts depends on previous land use: a century‐old grassland legacy

Overview of attention for article published in Ecology and Evolution, October 2014
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  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Citations

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64 Mendeley
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Title
Vegetation in clear‐cuts depends on previous land use: a century‐old grassland legacy
Published in
Ecology and Evolution, October 2014
DOI 10.1002/ece3.1288
Pubmed ID
Authors

Dennis Jonason, Mathias Ibbe, Per Milberg, Albert Tunér, Lars Westerberg, Karl-Olof Bergman

Abstract

Plant species richness in central and northern European seminatural grasslands is often more closely linked to past than present habitat configuration, which is indicative of an extinction debt. In this study, we investigate whether signs of historical grassland management can be found in clear-cuts after at least 80 years as coniferous production forest by comparing floras between clear-cuts with a history as meadow and as forest in the 1870s in Sweden. Study sites were selected using old land-use maps and data on present-day clear-cuts. Species traits reflecting high capacities for dispersal and persistence were used to explain any possible links between the plants and the historical land use. Clear-cuts that were formerly meadow had, on average, 36% higher species richness and 35% higher richness of grassland indicator species, as well as a larger overall seed mass and lower anemochory, compared to clear-cuts with history as forest. We suggest that the plants in former meadows never disappeared after afforestation but survived as remnant populations. Many contemporary forests in Sweden were managed as grasslands in the 1800s. As conservation of remaining grassland fragments will not be enough to reduce the existing extinction debts of the flora, these young forests offer opportunities for grassland restoration at large scales. Our study supports the concept of remnant populations and highlights the importance of considering historical land use for understanding the distribution of grassland plant species in fragmented landscapes, as well as for policy-making and conservation.

X Demographics

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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
Sweden 1 2%
Mexico 1 2%
Belgium 1 2%
Japan 1 2%
Unknown 59 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Ph. D. Student 12 19%
Student > Doctoral Student 6 9%
Student > Master 4 6%
Student > Bachelor 3 5%
Other 9 14%
Unknown 14 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 41%
Environmental Science 18 28%
Business, Management and Accounting 1 2%
Biochemistry, Genetics and Molecular Biology 1 2%
Sports and Recreations 1 2%
Other 1 2%
Unknown 16 25%
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 03 November 2014.
All research outputs
#14,388,865
of 25,374,917 outputs
Outputs from Ecology and Evolution
#4,802
of 8,477 outputs
Outputs of similar age
#128,551
of 274,199 outputs
Outputs of similar age from Ecology and Evolution
#42
of 76 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,477 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 42nd percentile – i.e., 42% 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 274,199 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 52% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.