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Evidence of fuels management and fire weather influencing fire severity in an extreme fire event

Overview of attention for article published in Ecological Applications, August 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
policy
1 policy source
twitter
16 X users

Citations

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107 Dimensions

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mendeley
218 Mendeley
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Title
Evidence of fuels management and fire weather influencing fire severity in an extreme fire event
Published in
Ecological Applications, August 2017
DOI 10.1002/eap.1586
Pubmed ID
Authors

Jamie M Lydersen, Brandon M Collins, Matthew L Brooks, John R Matchett, Kristen L Shive, Nicholas A Povak, Van R Kane, Douglas F Smith

Abstract

Following changes in vegetation structure and pattern, along with a changing climate, large wildfire incidence has increased in forests throughout the western U.S. Given this increase there is great interest in whether fuels treatments and previous wildfire can alter fire severity patterns in large wildfires. We assessed the relative influence of previous fuels treatments (including wildfire), fire weather, vegetation and water balance on fire severity in the Rim Fire of 2013. We did this at three different spatial scales to investigate whether the influences on fire severity changed across scales. Both fuels treatments and previous low to moderate severity wildfire reduced the prevalence of high severity fire. In general, areas without recent fuels treatments and areas that previously burned at high severity tended to have a greater proportion of high severity fire in the Rim Fire. Areas treated with prescribed fire, especially when combined with thinning, had the lowest proportions of high severity. Proportion of the landscape burned at high severity was most strongly influenced by fire weather and proportional area previously treated for fuels or burned by low to moderate severity wildfire. The proportion treated needed to effectively reduce the amount of high fire severity fire varied by spatial scale of analysis, with smaller spatial scales requiring a greater proportion treated to see an effect on fire severity. When moderate and high severity fire encountered a previously treated area, fire severity was significantly reduced in the treated area relative to the adjacent untreated area. Our results show that fuels treatments and low to moderate severity wildfire can reduce fire severity in a subsequent wildfire, even when burning under fire growth conditions. These results serve as further evidence that both fuels treatments and lower severity wildfire can increase forest resilience. This article is protected by copyright. All rights reserved.

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X Demographics

The data shown below were collected from the profiles of 16 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 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 21%
Student > Ph. D. Student 32 15%
Student > Master 29 13%
Other 15 7%
Student > Doctoral Student 12 6%
Other 31 14%
Unknown 53 24%
Readers by discipline Count As %
Environmental Science 67 31%
Agricultural and Biological Sciences 28 13%
Earth and Planetary Sciences 21 10%
Engineering 7 3%
Business, Management and Accounting 5 2%
Other 24 11%
Unknown 66 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 46. 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 11 February 2023.
All research outputs
#886,084
of 25,088,711 outputs
Outputs from Ecological Applications
#227
of 3,350 outputs
Outputs of similar age
#18,222
of 324,351 outputs
Outputs of similar age from Ecological Applications
#4
of 42 outputs
Altmetric has tracked 25,088,711 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,350 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. This one has done particularly well, scoring higher than 93% 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 324,351 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 42 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 92% of its contemporaries.