causal relationships versus emergent patterns in the global controls of fire frequency
Clicks: 151
ID: 183662
2014
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
151 views
27 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #208 of 345 articles by views in tetrahedron letters
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 345 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Global controls on month-by-month fractional burnt area (2000–2005) were
investigated by fitting a generalised linear model (GLM) to Global Fire
Emissions Database (GFED) data, with 11 predictor variables representing
vegetation, climate, land use and potential ignition sources. Burnt area is
shown to increase with annual net primary production (NPP), number of dry
days, maximum temperature, grazing-land area, grass/shrub cover and diurnal
temperature range, and to decrease with soil moisture, cropland area and
population density. Lightning showed an apparent (weak) negative influence,
but this disappeared when pure seasonal-cycle effects were taken into
account. The model predicts observed geographic and seasonal patterns, as
well as the emergent relationships seen when burnt area is plotted against
each variable separately. Unimodal relationships with mean annual temperature
and precipitation, population density and gross domestic product (GDP) are
reproduced too, and are thus shown to be secondary consequences of
correlations between different controls (e.g. high NPP with high
precipitation; low NPP with low population density and GDP). These findings
have major implications for the design of global fire models, as several
assumptions in current models – most notably, the widely assumed dependence
of fire frequency on ignition rates – are evidently incorrect.
| Reference Key |
bistinas2014biogeosciencescausal
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;I. Bistinas;S. P. Harrison;I. C. Prentice;J. M. C. Pereira |
| Journal | tetrahedron letters |
| Year | 2014 |
| DOI |
10.5194/bg-11-5087-2014
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.