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Coastal retreat and improved water quality mitigate losses of seagrass from sea level rise

Overview of attention for article published in Global Change Biology, May 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
9 X users
facebook
2 Facebook pages

Citations

dimensions_citation
103 Dimensions

Readers on

mendeley
275 Mendeley
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Title
Coastal retreat and improved water quality mitigate losses of seagrass from sea level rise
Published in
Global Change Biology, May 2013
DOI 10.1111/gcb.12218
Pubmed ID
Authors

Megan I. Saunders, Javier Leon, Stuart R. Phinn, David P. Callaghan, Katherine R. O'Brien, Chris M. Roelfsema, Catherine E. Lovelock, Mitchell B. Lyons, Peter J. Mumby

Abstract

The distribution and abundance of seagrass ecosystems could change significantly over the coming century due to sea level rise (SLR). Coastal managers require mechanistic understanding of the processes affecting seagrass response to SLR to maximize their conservation and associated provision of ecosystem services. In Moreton Bay, Queensland, Australia, vast seagrass meadows supporting populations of sea turtles and dugongs are juxtaposed with the multiple stressors associated with a large and rapidly expanding human population. Here, the interactive effects of predicted SLR, changes in water clarity, and land use on future distributions of seagrass in Moreton Bay were quantified. A habitat distribution model of present day seagrass in relation to benthic irradiance and wave height was developed which correctly classified habitats in 83% of cases. Spatial predictions of seagrass and presence derived from the model and bathymetric data were used to initiate a SLR inundation model. Bathymetry was iteratively modified based on SLR and sedimentary accretion in seagrass to simulate potential seagrass habitat at 10 year time steps until 2100. The area of seagrass habitat was predicted to decline by 17% by 2100 under a scenario of SLR of 1.1 m. A scenario including the removal of impervious surfaces, such as roads and houses, from newly inundated regions, demonstrated that managed retreat of the shoreline could potentially reduce the overall decline in seagrass habitat to just 5%. The predicted reduction in area of seagrass habitat could be offset by an improvement in water clarity of 30%. Greater improvements in water clarity would be necessary for larger magnitudes of SLR. Management to improve water quality will provide present and future benefits to seagrasses under climate change and should be a priority for managers seeking to compensate for the effects of global change on these valuable habitats.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 2 <1%
Spain 2 <1%
Australia 2 <1%
Ghana 1 <1%
Netherlands 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
United Arab Emirates 1 <1%
Singapore 1 <1%
Other 1 <1%
Unknown 262 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 20%
Student > Ph. D. Student 46 17%
Student > Master 41 15%
Student > Bachelor 32 12%
Student > Doctoral Student 14 5%
Other 39 14%
Unknown 48 17%
Readers by discipline Count As %
Environmental Science 91 33%
Agricultural and Biological Sciences 78 28%
Earth and Planetary Sciences 13 5%
Engineering 7 3%
Social Sciences 7 3%
Other 19 7%
Unknown 60 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 July 2016.
All research outputs
#1,360,906
of 24,558,777 outputs
Outputs from Global Change Biology
#1,674
of 6,096 outputs
Outputs of similar age
#10,768
of 197,732 outputs
Outputs of similar age from Global Change Biology
#13
of 57 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,096 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.9. This one has gotten more attention than average, scoring higher than 72% 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 197,732 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 94% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.