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Journal ArticleDOI

The global fire–productivity relationship

Juli G. Pausas, +1 more
- 01 Jun 2013 - 
- Vol. 22, Iss: 6, pp 728-736
TLDR
In this paper, the intermediate fire-productivity model has been validated across all world ecosystems, including Antarctica, and it has been suggested that on a global scale, fire activity changes along the productivity/aridity gradient following a humped relationship.
Abstract
Aim It has been suggested that on a global scale, fire activity changes along the productivity/aridity gradient following a humped relationship, i.e. the intermediate fire–productivity hypothesis. This relation should be driven by differing relative roles of the main fire drivers (weather and fuel) along the productivity gradient. However, the full intermediate fire–productivity model across all world ecosystems remains to be validated. Location The entire globe, excluding Antarctica. Methods To test the intermediate fire–productivity hypothesis, we use the world ecoregions as a spatial unit and, for each ecoregion, we compiled remotely sensed fire activity, climate, biomass and productivity information. The regression coefficient between monthly MODIS fire activity and monthly maximum temperature in each ecoregion was considered an indicator of the sensitivity of fire to high temperatures in the ecoregion. We used linear and generalized additive models to test for the linear and humped relationships. Results Fire occurs in most ecoregions. Fire activity peaked in tropical grasslands and savannas, and significantly decreased towards the extremes of the productivity gradient. Both the sensitivity of fire to high temperatures and above-ground biomass increased monotonically with productivity. In other words, fire activity in low-productivity ecosystems is not driven by warm periods and is limited by low biomass; in contrast, in high-productivity ecosystems fire is more sensitive to high temperatures, and in these ecosystems, the available biomass for fires is high. Main conclusion The results support the intermediate fire–productivity model on a global scale and suggest that climatic warming may affect fire activity differently depending on the productivity of the region. Fire regimes in productive regions are vulnerable to warming (drought-driven fire regime changes), while in low-productivity regions fire activity is more vulnerable to fuel changes (fuel-driven fire regime changes).

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Citations
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Are strong fire–vegetation feedbacks needed to explain the spatial distribution of tropical tree cover?

TL;DR: In this paper, the authors re-examine some recent observations proposed as evidence for very strong tree-cover feedbacks on fire, sufficient to allow savanna and forest to be alternative stable states over large areas of the tropics.
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Predicting forest fire using multispectral satellite measurements in Nepal

TL;DR: In this paper, the authors examined the geospatial datasets concerning fire points, topography, vegetation types, tree cover percent, ecological zone, and climate to understand the prospects of forest fire in Nepal.
Journal ArticleDOI

Modelling Carbon Emissions in Calluna vulgaris-Dominated Ecosystems when Prescribed Burning and Wildfires Interact.

TL;DR: The effects of different prescribed-burning rotation intervals and wildfires on carbon emissions in British moorlands are modeled and the importance of studying site-specific biomass accumulation patterns with respect to environmental conditions for identifying suitable fire-rotation intervals to minimize C emissions is highlighted.
Journal ArticleDOI

Dryness thresholds for fire occurrence vary by forest type along an aridity gradient: evidence from Southern Australia

TL;DR: In this paper, the authors evaluate differences in weather-based dryness thresholds for fire occurrence between vegetation communities and test whether these are a function of landscape aridity and suggest that vegetation driven feedbacks may be an important driver of landscape flammability.
References
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Journal ArticleDOI

Warming and Earlier Spring Increase Western U.S. Forest Wildfire Activity

TL;DR: It is shown that large wildfire activity increased suddenly and markedly in the mid-1980s, with higher large-wildfire frequency, longer wildfire durations, and longer wildfire seasons.
Journal ArticleDOI

Generalized Additive Models: An Introduction With R

TL;DR: Robinson, R. (2007). Generalized Additive Models: An Introduction With R.(2007).
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