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Global patterns of interannual climate–fire relationships

Overview of attention for article published in Global Change Biology, August 2018
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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 (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

policy
4 policy sources
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36 X users
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2 Facebook pages

Readers on

mendeley
339 Mendeley
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Article details
Title
Global patterns of interannual climate–fire relationships
Published in
Global Change Biology, August 2018
DOI 10.1111/gcb.14405
Pubmed ID
Authors
Abstract

Climate shapes geographic and seasonal patterns in global fire activity by mediating vegetation composition, productivity, and desiccation in conjunction with land-use and anthropogenic factors. Yet, the degree to which climate variability affects interannual variability in burned area across Earth is less understood. Two-decades of satellite-derived burned area records across forested and non-forested areas were used to examine global interannual climate-fire relationships at ecoregion scales. Measures of fuel aridity exhibited strong positive correlations with forested burned area, with weaker relationships in climatologically drier regions. By contrast, cumulative precipitation antecedent to the fire season exhibited positive correlations to non-forested burned area, with stronger relationships in climatologically drier regions. Climate variability explained roughly one-third of the interannual variability in burned area across global ecoregions. These results highlight the importance of climate variability in enabling fire activity globally, but also identifies regions where anthropogenic and other influences may facilitate weaker relationships. Empirical fire modeling efforts can complement process-based global fire models to elucidate how fire activity is likely to change amidst complex interactions among climatic, vegetation, and human factors. This article is protected by copyright. All rights reserved.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 339 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 65 19%
Researcher 64 19%
Student > Master 27 8%
Student > Bachelor 19 6%
Student > Doctoral Student 12 4%
Other 38 11%
Unknown 114 34%
Readers by discipline
Readers by discipline Count As %
Environmental Science 80 24%
Earth and Planetary Sciences 58 17%
Agricultural and Biological Sciences 25 7%
Engineering 12 4%
Social Sciences 7 2%
Other 16 5%
Unknown 141 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 21 October 2024.
All research outputs
#1,554,444
of 34,279,751 outputs
Outputs from Global Change Biology
#1,626
of 7,819 outputs
Outputs of similar age
#24,647
of 373,759 outputs
Outputs of similar age from Global Change Biology
#17
of 79 outputs
Altmetric has tracked 34,279,751 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 7,819 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.5. This one has done well, scoring higher than 79% 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 373,759 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 93% of its contemporaries.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.