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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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Journal ArticleDOI

Correspondence: Uncertainty in Climate-Vegetation Feedbacks on Fire Regimes Challenges Reliable Long-Term Projections of Burnt Area from Correlative Models

TL;DR: In this article, a simple correlative model was used to project an increase in future burnt areas for the Mediterranean region, based on the assumption that fire-drought relationships currently measured under a given productivity gradient (i.e., sensitivity of fire activity to dry periods is stronger in cooler/productive sites) can be consistently used to infer new relationships arising in the future.
Journal ArticleDOI

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Dissertation

Modelling resilience and sustainability of complex human-environment systems in agriculture and ecology

Kathyrn Fair
TL;DR: Across all 3 projects, modelled systems display complex behaviours, emphasizing the necessity of further development of models for complex human-environment systems that can provide a more complete understanding of system dynamics and potential futures.
Journal ArticleDOI

Does conserving roadless wildland increase wildfire activity in western US national forests

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Journal ArticleDOI

Forest succession and climate variability interacted to control fire activity over the last four centuries in an Alaskan boreal landscape

TL;DR: This paper investigated the relative importance of climate and landscape flammability as drivers of fire activity in boreal forests by developing high-resolution records of fire history, and characterizing their centennial-scale relationships to temperature and vegetation dynamics.
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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