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Biodiversity influences plant productivity through niche–efficiency

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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1 news outlet
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16 X users

Citations

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58 Dimensions

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278 Mendeley
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Title
Biodiversity influences plant productivity through niche–efficiency
Published in
Proceedings of the National Academy of Sciences of the United States of America, April 2015
DOI 10.1073/pnas.1409853112
Pubmed ID
Authors

Jingjing Liang, Mo Zhou, Patrick C. Tobin, A. David McGuire, Peter B. Reich

Abstract

The loss of biodiversity is threatening ecosystem productivity and services worldwide, spurring efforts to quantify its effects on the functioning of natural ecosystems. Previous research has focused on the positive role of biodiversity on resource acquisition (i.e., niche complementarity), but a lack of study on resource utilization efficiency, a link between resource and productivity, has rendered it difficult to quantify the biodiversity-ecosystem functioning relationship. Here we demonstrate that biodiversity loss reduces plant productivity, other things held constant, through theory, empirical evidence, and simulations under gradually relaxed assumptions. We developed a theoretical model named niche-efficiency to integrate niche complementarity and a heretofore-ignored mechanism of diminishing marginal productivity in quantifying the effects of biodiversity loss on plant productivity. Based on niche-efficiency, we created a relative productivity metric and a productivity impact index (PII) to assist in biological conservation and resource management. Relative productivity provides a standardized measure of the influence of biodiversity on individual productivity, and PII is a functionally based taxonomic index to assess individual species' inherent value in maintaining current ecosystem productivity. Empirical evidence from the Alaska boreal forest suggests that every 1% reduction in overall plant diversity could render an average of 0.23% decline in individual tree productivity. Out of the 283 plant species of the region, we found that large woody plants generally have greater PII values than other species. This theoretical model would facilitate the integration of biological conservation in the international campaign against several pressing global issues involving energy use, climate change, and poverty.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 278 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 <1%
Japan 2 <1%
United States 2 <1%
Brazil 1 <1%
Canada 1 <1%
Mexico 1 <1%
Nepal 1 <1%
Spain 1 <1%
France 1 <1%
Other 2 <1%
Unknown 264 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 24%
Student > Ph. D. Student 56 20%
Student > Master 34 12%
Student > Bachelor 20 7%
Student > Doctoral Student 15 5%
Other 39 14%
Unknown 48 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 108 39%
Environmental Science 64 23%
Biochemistry, Genetics and Molecular Biology 6 2%
Computer Science 5 2%
Earth and Planetary Sciences 5 2%
Other 26 9%
Unknown 64 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 27 May 2015.
All research outputs
#1,751,023
of 25,066,230 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#22,522
of 102,306 outputs
Outputs of similar age
#21,868
of 271,200 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#352
of 932 outputs
Altmetric has tracked 25,066,230 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,306 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.0. This one has done well, scoring higher than 77% 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 271,200 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 932 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 62% of its contemporaries.