Environmental controls on the distribution of wildfire at multiple spatial scales

Despite its widespread occurrence globally, wildfire preferentially occupies an environmental middle ground and is significantly less prevalent in biomes characterized by environmental extremes (e.g., tundra, rain forests, and deserts). We evaluated the biophysical “environmental space” of wildfire...

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Published in:Ecological Monographs
Main Authors: Parisien, Marc-André, Moritz, Max A.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2009
Subjects:
Online Access:http://dx.doi.org/10.1890/07-1289.1
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spelling crwiley:10.1890/07-1289.1 2024-09-30T14:45:25+00:00 Environmental controls on the distribution of wildfire at multiple spatial scales Parisien, Marc-André Moritz, Max A. 2009 http://dx.doi.org/10.1890/07-1289.1 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1890%2F07-1289.1 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/07-1289.1 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Ecological Monographs volume 79, issue 1, page 127-154 ISSN 0012-9615 1557-7015 journal-article 2009 crwiley https://doi.org/10.1890/07-1289.1 2024-09-05T05:06:19Z Despite its widespread occurrence globally, wildfire preferentially occupies an environmental middle ground and is significantly less prevalent in biomes characterized by environmental extremes (e.g., tundra, rain forests, and deserts). We evaluated the biophysical “environmental space” of wildfire from regional to subcontinental extents, with methods widely used for modeling habitat distributions. This approach is particularly suitable for the biogeographic study of wildfire, because it simultaneously considers patterns in multiple factors controlling wildfire suitability over large areas. We used the Maxent and boosted regression tree algorithms to assess wildfire–environment relationships for three levels of complexity (in terms of inclusion of variables) at three spatial scales: the conterminous United States, the state of California, and five wildfire‐prone ecoregions of California. The resulting models were projected geographically to obtain spatial predictions of wildfire suitability and were also applied to other regions to assess their generality and spatial transferability. Predictions of the potential range of wildfire had high classification accuracy; they also highlighted areas where wildfires had not recently been observed, indicating the potential (or past) suitability of these areas. The models identified several key variables that were not suspected to be important in the large‐scale control of wildfires, but which might indirectly affect control by influencing the presence of flammable vegetation. Models transferred to different areas were useful only when they overlapped appreciably with the target area's environmental space. This approach should allow exploration of the potential shifts in wildfire range in a changing climate, the potential for restoration of wildfire where it has been “extirpated,” and, conversely, the “invasiveness” of wildfire after changes in plant species composition. Our study demonstrates that habitat distribution models and related concepts can be used to characterize ... Article in Journal/Newspaper Tundra Wiley Online Library Middle Ground ENVELOPE(-55.715,-55.715,53.317,53.317) Ecological Monographs 79 1 127 154
institution Open Polar
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language English
description Despite its widespread occurrence globally, wildfire preferentially occupies an environmental middle ground and is significantly less prevalent in biomes characterized by environmental extremes (e.g., tundra, rain forests, and deserts). We evaluated the biophysical “environmental space” of wildfire from regional to subcontinental extents, with methods widely used for modeling habitat distributions. This approach is particularly suitable for the biogeographic study of wildfire, because it simultaneously considers patterns in multiple factors controlling wildfire suitability over large areas. We used the Maxent and boosted regression tree algorithms to assess wildfire–environment relationships for three levels of complexity (in terms of inclusion of variables) at three spatial scales: the conterminous United States, the state of California, and five wildfire‐prone ecoregions of California. The resulting models were projected geographically to obtain spatial predictions of wildfire suitability and were also applied to other regions to assess their generality and spatial transferability. Predictions of the potential range of wildfire had high classification accuracy; they also highlighted areas where wildfires had not recently been observed, indicating the potential (or past) suitability of these areas. The models identified several key variables that were not suspected to be important in the large‐scale control of wildfires, but which might indirectly affect control by influencing the presence of flammable vegetation. Models transferred to different areas were useful only when they overlapped appreciably with the target area's environmental space. This approach should allow exploration of the potential shifts in wildfire range in a changing climate, the potential for restoration of wildfire where it has been “extirpated,” and, conversely, the “invasiveness” of wildfire after changes in plant species composition. Our study demonstrates that habitat distribution models and related concepts can be used to characterize ...
format Article in Journal/Newspaper
author Parisien, Marc-André
Moritz, Max A.
spellingShingle Parisien, Marc-André
Moritz, Max A.
Environmental controls on the distribution of wildfire at multiple spatial scales
author_facet Parisien, Marc-André
Moritz, Max A.
author_sort Parisien, Marc-André
title Environmental controls on the distribution of wildfire at multiple spatial scales
title_short Environmental controls on the distribution of wildfire at multiple spatial scales
title_full Environmental controls on the distribution of wildfire at multiple spatial scales
title_fullStr Environmental controls on the distribution of wildfire at multiple spatial scales
title_full_unstemmed Environmental controls on the distribution of wildfire at multiple spatial scales
title_sort environmental controls on the distribution of wildfire at multiple spatial scales
publisher Wiley
publishDate 2009
url http://dx.doi.org/10.1890/07-1289.1
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1890%2F07-1289.1
https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/07-1289.1
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op_source Ecological Monographs
volume 79, issue 1, page 127-154
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