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Effects of Land Use on Lake Nutrients: The Importance of Scale, Hydrologic Connectivity, and Region

Overview of attention for article published in PLOS ONE, August 2015
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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6 X users
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1 Facebook page

Citations

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89 Dimensions

Readers on

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172 Mendeley
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1 CiteULike
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Title
Effects of Land Use on Lake Nutrients: The Importance of Scale, Hydrologic Connectivity, and Region
Published in
PLOS ONE, August 2015
DOI 10.1371/journal.pone.0135454
Pubmed ID
Authors

Patricia A. Soranno, Kendra Spence Cheruvelil, Tyler Wagner, Katherine E. Webster, Mary Tate Bremigan

Abstract

Catchment land uses, particularly agriculture and urban uses, have long been recognized as major drivers of nutrient concentrations in surface waters. However, few simple models have been developed that relate the amount of catchment land use to downstream freshwater nutrients. Nor are existing models applicable to large numbers of freshwaters across broad spatial extents such as regions or continents. This research aims to increase model performance by exploring three factors that affect the relationship between land use and downstream nutrients in freshwater: the spatial extent for measuring land use, hydrologic connectivity, and the regional differences in both the amount of nutrients and effects of land use on them. We quantified the effects of these three factors that relate land use to lake total phosphorus (TP) and total nitrogen (TN) in 346 north temperate lakes in 7 regions in Michigan, USA. We used a linear mixed modeling framework to examine the importance of spatial extent, lake hydrologic class, and region on models with individual lake nutrients as the response variable, and individual land use types as the predictor variables. Our modeling approach was chosen to avoid problems of multi-collinearity among predictor variables and a lack of independence of lakes within regions, both of which are common problems in broad-scale analyses of freshwaters. We found that all three factors influence land use-lake nutrient relationships. The strongest evidence was for the effect of lake hydrologic connectivity, followed by region, and finally, the spatial extent of land use measurements. Incorporating these three factors into relatively simple models of land use effects on lake nutrients should help to improve predictions and understanding of land use-lake nutrient interactions at broad scales.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 1%
United States 1 <1%
Germany 1 <1%
Australia 1 <1%
Unknown 167 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 24%
Researcher 36 21%
Student > Master 27 16%
Student > Bachelor 16 9%
Student > Doctoral Student 8 5%
Other 14 8%
Unknown 30 17%
Readers by discipline Count As %
Environmental Science 57 33%
Agricultural and Biological Sciences 33 19%
Earth and Planetary Sciences 12 7%
Engineering 6 3%
Economics, Econometrics and Finance 4 2%
Other 11 6%
Unknown 49 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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
#6,900,707
of 22,821,814 outputs
Outputs from PLOS ONE
#81,785
of 194,753 outputs
Outputs of similar age
#80,546
of 264,494 outputs
Outputs of similar age from PLOS ONE
#2,147
of 6,146 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 194,753 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has gotten more attention than average, scoring higher than 57% 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 264,494 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 69% of its contemporaries.
We're also able to compare this research output to 6,146 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 64% of its contemporaries.