Global patterns of interannual climate-fire relationships
Autor: | Luigi Boschetti, A. Park Williams, John T. Abatzoglou, Crystal A. Kolden, Maria Zubkova |
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Rok vydání: | 2018 |
Předmět: |
0106 biological sciences
Global and Planetary Change 010504 meteorology & atmospheric sciences Ecology Fire season Climate Vegetation composition Vegetation Forests Models Theoretical 010603 evolutionary biology 01 natural sciences Arid Fires Article Ecoregion Productivity (ecology) Environmental Chemistry Environmental science Humans Physical geography Precipitation Seasons 0105 earth and related environmental sciences General Environmental Science |
Zdroj: | Global change biology. 24(11) |
ISSN: | 1365-2486 |
Popis: | 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. |
Databáze: | OpenAIRE |
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