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Mapping and Modeling the Biogeochemical Cycling of Turf Grasses in the United States

Overview of attention for article published in Environmental Management, July 2005
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 1,934)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
23 news outlets
blogs
8 blogs
twitter
18 X users
wikipedia
1 Wikipedia page
video
1 YouTube creator

Citations

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550 Dimensions

Readers on

mendeley
344 Mendeley
Title
Mapping and Modeling the Biogeochemical Cycling of Turf Grasses in the United States
Published in
Environmental Management, July 2005
DOI 10.1007/s00267-004-0316-2
Pubmed ID
Authors

Cristina Milesi, Steven W. Running, Christopher D. Elvidge, John B. Dietz, Benjamin T. Tuttle, Ramakrishna R. Nemani

Abstract

Turf grasses are ubiquitous in the urban landscape of the United States and are often associated with various types of environmental impacts, especially on water resources, yet there have been limited efforts to quantify their total surface and ecosystem functioning, such as their total impact on the continental water budget and potential net ecosystem exchange (NEE). In this study, relating turf grass area to an estimate of fractional impervious surface area, it was calculated that potentially 163,800 km2 (+/- 35,850 km2) of land are cultivated with turf grasses in the continental United States, an area three times larger than that of any irrigated crop. Using the Biome-BGC ecosystem process model, the growth of warm-season and cool-season turf grasses was modeled at a number of sites across the 48 conterminous states under different management scenarios, simulating potential carbon and water fluxes as if the entire turf surface was to be managed like a well-maintained lawn. The results indicate that well-watered and fertilized turf grasses act as a carbon sink. The potential NEE that could derive from the total surface potentially under turf (up to 17 Tg C/yr with the simulated scenarios) would require up to 695 to 900 liters of water per person per day, depending on the modeled water irrigation practices, suggesting that outdoor water conservation practices such as xeriscaping and irrigation with recycled waste-water may need to be extended as many municipalities continue to face increasing pressures on freshwater.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 6%
Germany 1 <1%
Kenya 1 <1%
Zimbabwe 1 <1%
Mexico 1 <1%
Canada 1 <1%
Unknown 318 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 75 22%
Researcher 68 20%
Student > Master 63 18%
Professor 18 5%
Student > Bachelor 18 5%
Other 50 15%
Unknown 52 15%
Readers by discipline Count As %
Environmental Science 113 33%
Agricultural and Biological Sciences 87 25%
Earth and Planetary Sciences 23 7%
Social Sciences 14 4%
Engineering 7 2%
Other 27 8%
Unknown 73 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 255. 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 23 April 2024.
All research outputs
#147,027
of 25,768,270 outputs
Outputs from Environmental Management
#3
of 1,934 outputs
Outputs of similar age
#142
of 69,300 outputs
Outputs of similar age from Environmental Management
#1
of 12 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,934 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 99% 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 69,300 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 99% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.