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Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change

Overview of attention for article published in PLoS ONE, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
31 tweeters
facebook
1 Facebook page

Citations

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1 Dimensions

Readers on

mendeley
26 Mendeley
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1 CiteULike
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Title
Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change
Published in
PLoS ONE, October 2017
DOI 10.1371/journal.pone.0187181
Pubmed ID
Authors

Tamara S. Wilson, Benjamin M. Sleeter, D. Richard Cameron

Abstract

With growing demand and highly variable inter-annual water supplies, California's water use future is fraught with uncertainty. Climate change projections, anticipated population growth, and continued agricultural intensification, will likely stress existing water supplies in coming decades. Using a state-and-transition simulation modeling approach, we examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand out to 2062. We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios, including low/high change scenarios for urbanization and agriculture as well as "lowest of the low" and "highest of the high" anthropogenic use. Future water demand decreased 8.3 billion cubic meters (Bm3) in the lowest of the low scenario and decreased 0.8 Bm3 in the low agriculture scenario. The greatest increased water demand was projected for the highest of the high land use scenario (+9.4 Bm3), high agricultural expansion (+4.6 Bm3), and high urbanization (+2.1 Bm3) scenarios. Overall, these scenarios show agricultural land use decisions will likely drive future demand more than increasing municipal and industrial uses, yet improved efficiencies across all sectors could lead to potential water use savings. Results provide water managers with information on diverging land use and water use futures, based on historical, observed land change trends and water use histories.

Twitter Demographics

The data shown below were collected from the profiles of 31 tweeters 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 27%
Student > Bachelor 4 15%
Unspecified 3 12%
Other 3 12%
Student > Ph. D. Student 3 12%
Other 6 23%
Readers by discipline Count As %
Environmental Science 8 31%
Agricultural and Biological Sciences 7 27%
Unspecified 6 23%
Earth and Planetary Sciences 2 8%
Computer Science 1 4%
Other 2 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 09 January 2018.
All research outputs
#609,227
of 12,447,408 outputs
Outputs from PLoS ONE
#11,251
of 136,677 outputs
Outputs of similar age
#28,127
of 308,327 outputs
Outputs of similar age from PLoS ONE
#313
of 2,649 outputs
Altmetric has tracked 12,447,408 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 136,677 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has done particularly well, scoring higher than 91% 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 308,327 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 90% of its contemporaries.
We're also able to compare this research output to 2,649 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.