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Hydrologic Connectivity to Streams Increases Nitrogen and Phosphorus Inputs and Cycling in Soils of Created and Natural Floodplain Wetlands

Overview of attention for article published in Journal of Environmental Quality, July 2013
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Title
Hydrologic Connectivity to Streams Increases Nitrogen and Phosphorus Inputs and Cycling in Soils of Created and Natural Floodplain Wetlands
Published in
Journal of Environmental Quality, July 2013
DOI 10.2134/jeq2012.0466
Pubmed ID
Authors

Kristin L. Wolf, Gregory B. Noe, Changwoo Ahn

Abstract

Greater connectivity to stream surface water may result in greater inputs of allochthonous nutrients that could stimulate internal nitrogen (N) and phosphorus (P) cycling in natural, restored, and created riparian wetlands. This study investigated the effects of hydrologic connectivity to stream water on soil nutrient fluxes in plots ( = 20) located among four created and two natural freshwater wetlands of varying hydrology in the Piedmont physiographic province of Virginia. Surface water was slightly deeper; hydrologic inputs of sediment, sediment-N, and ammonium were greater; and soil net ammonification, N mineralization, and N turnover were greater in plots with stream water classified as their primary water source compared with plots with precipitation or groundwater as their primary water source. Soil water-filled pore space, inputs of nitrate, and soil net nitrification, P mineralization, and denitrification enzyme activity (DEA) were similar among plots. Soil ammonification, N mineralization, and N turnover rates increased with the loading rate of ammonium to the soil surface. Phosphorus mineralization and ammonification also increased with sedimentation and sediment-N loading rate. Nitrification flux and DEA were positively associated in these wetlands. In conclusion, hydrologic connectivity to stream water increased allochthonous inputs that stimulated soil N and P cycling and that likely led to greater retention of sediment and nutrients in created and natural wetlands. Our findings suggest that wetland creation and restoration projects should be designed to allow connectivity with stream water if the goal is to optimize the function of water quality improvement in a watershed.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
France 1 1%
Canada 1 1%
Unknown 64 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 23%
Researcher 14 20%
Student > Ph. D. Student 11 16%
Student > Bachelor 9 13%
Student > Doctoral Student 4 6%
Other 9 13%
Unknown 6 9%
Readers by discipline Count As %
Environmental Science 28 41%
Agricultural and Biological Sciences 14 20%
Earth and Planetary Sciences 9 13%
Engineering 4 6%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 2 3%
Unknown 10 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 July 2013.
All research outputs
#2,926,587
of 6,229,412 outputs
Outputs from Journal of Environmental Quality
#250
of 516 outputs
Outputs of similar age
#49,764
of 100,633 outputs
Outputs of similar age from Journal of Environmental Quality
#1
of 6 outputs
Altmetric has tracked 6,229,412 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 516 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 40th percentile – i.e., 40% 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 100,633 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them