Cheatgrass (Bromus tectorum) distribution in the intermountain Western United States and its relationship to fire frequency, seasonality, and ignitions
Cheatgrass ( Bromus tectorum ) is an invasive grass pervasive across the Intermountain Western US and linked to major increases in fire frequency. Despite widespread ecological impacts associated with cheatgrass, we lack a spatially extensive model of cheatgrass invasion in the Intermountain West. H...
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Published in | Biological invasions Vol. 20; no. 6; pp. 1493 - 1506 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cham
Springer International Publishing
01.06.2018
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Abstract | Cheatgrass (
Bromus tectorum
) is an invasive grass pervasive across the Intermountain Western US and linked to major increases in fire frequency. Despite widespread ecological impacts associated with cheatgrass, we lack a spatially extensive model of cheatgrass invasion in the Intermountain West. Here, we leverage satellite phenology predictors and thousands of field surveys of cheatgrass abundance to create regional models of cheatgrass distribution and percent cover. We compare cheatgrass presence to fire probability, fire seasonality and ignition source. Regional models of percent cover had low predictive power (34% of variance explained), but distribution models based on a threshold of 15% cover to differentiate high abundance from low abundance had an overall accuracy of 74%. Cheatgrass achieves ≥ 15% cover over 210,000 km
2
(31%) of the Intermountain West. These lands were twice as likely to burn as those with low abundance, and four times more likely to burn multiple times between 2000 and 2015. Fire probability increased rapidly at low cheatgrass cover (1–5%) but remained similar at higher cover, suggesting that even small amounts of cheatgrass in an ecosystem can increase fire risk. Abundant cheatgrass was also associated with a 10 days earlier fire seasonality and interacted strongly with anthropogenic ignitions. Fire in cheatgrass was particularly associated with human activity, suggesting that increased awareness of fire danger in invaded areas could reduce risk. This study suggests that cheatgrass is much more spatially extensive and abundant than previously documented and that invasion greatly increases fire frequency, even at low percent cover. |
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AbstractList | Cheatgrass (
Bromus tectorum
) is an invasive grass pervasive across the Intermountain Western US and linked to major increases in fire frequency. Despite widespread ecological impacts associated with cheatgrass, we lack a spatially extensive model of cheatgrass invasion in the Intermountain West. Here, we leverage satellite phenology predictors and thousands of field surveys of cheatgrass abundance to create regional models of cheatgrass distribution and percent cover. We compare cheatgrass presence to fire probability, fire seasonality and ignition source. Regional models of percent cover had low predictive power (34% of variance explained), but distribution models based on a threshold of 15% cover to differentiate high abundance from low abundance had an overall accuracy of 74%. Cheatgrass achieves ≥ 15% cover over 210,000 km
2
(31%) of the Intermountain West. These lands were twice as likely to burn as those with low abundance, and four times more likely to burn multiple times between 2000 and 2015. Fire probability increased rapidly at low cheatgrass cover (1–5%) but remained similar at higher cover, suggesting that even small amounts of cheatgrass in an ecosystem can increase fire risk. Abundant cheatgrass was also associated with a 10 days earlier fire seasonality and interacted strongly with anthropogenic ignitions. Fire in cheatgrass was particularly associated with human activity, suggesting that increased awareness of fire danger in invaded areas could reduce risk. This study suggests that cheatgrass is much more spatially extensive and abundant than previously documented and that invasion greatly increases fire frequency, even at low percent cover. Cheatgrass (Bromus tectorum) is an invasive grass pervasive across the Intermountain Western US and linked to major increases in fire frequency. Despite widespread ecological impacts associated with cheatgrass, we lack a spatially extensive model of cheatgrass invasion in the Intermountain West. Here, we leverage satellite phenology predictors and thousands of field surveys of cheatgrass abundance to create regional models of cheatgrass distribution and percent cover. We compare cheatgrass presence to fire probability, fire seasonality and ignition source. Regional models of percent cover had low predictive power (34% of variance explained), but distribution models based on a threshold of 15% cover to differentiate high abundance from low abundance had an overall accuracy of 74%. Cheatgrass achieves ≥ 15% cover over 210,000 km2 (31%) of the Intermountain West. These lands were twice as likely to burn as those with low abundance, and four times more likely to burn multiple times between 2000 and 2015. Fire probability increased rapidly at low cheatgrass cover (1–5%) but remained similar at higher cover, suggesting that even small amounts of cheatgrass in an ecosystem can increase fire risk. Abundant cheatgrass was also associated with a 10 days earlier fire seasonality and interacted strongly with anthropogenic ignitions. Fire in cheatgrass was particularly associated with human activity, suggesting that increased awareness of fire danger in invaded areas could reduce risk. This study suggests that cheatgrass is much more spatially extensive and abundant than previously documented and that invasion greatly increases fire frequency, even at low percent cover. Cheatgrass (Bromus tectorum) is an invasive grass pervasive across the Intermountain Western US and linked to major increases in fire frequency. Despite widespread ecological impacts associated with cheatgrass, we lack a spatially extensive model of cheatgrass invasion in the Intermountain West. Here, we leverage satellite phenology predictors and thousands of field surveys of cheatgrass abundance to create regional models of cheatgrass distribution and percent cover. We compare cheatgrass presence to fire probability, fire seasonality and ignition source. Regional models of percent cover had low predictive power (34% of variance explained), but distribution models based on a threshold of 15% cover to differentiate high abundance from low abundance had an overall accuracy of 74%. Cheatgrass achieves ≥ 15% cover over 210,000 km² (31%) of the Intermountain West. These lands were twice as likely to burn as those with low abundance, and four times more likely to burn multiple times between 2000 and 2015. Fire probability increased rapidly at low cheatgrass cover (1–5%) but remained similar at higher cover, suggesting that even small amounts of cheatgrass in an ecosystem can increase fire risk. Abundant cheatgrass was also associated with a 10 days earlier fire seasonality and interacted strongly with anthropogenic ignitions. Fire in cheatgrass was particularly associated with human activity, suggesting that increased awareness of fire danger in invaded areas could reduce risk. This study suggests that cheatgrass is much more spatially extensive and abundant than previously documented and that invasion greatly increases fire frequency, even at low percent cover. |
Author | Tuanmu, Mao-Ning Balch, Jennifer K. Fusco, Emily J. Curtis, Caroline A. Abatzoglou, John T. Dadashi, Sepideh Bradley, Bethany A. |
Author_xml | – sequence: 1 givenname: Bethany A. orcidid: 0000-0003-4912-4971 surname: Bradley fullname: Bradley, Bethany A. email: bbradley@eco.umass.edu organization: Department of Environmental Conservation, University of Massachusetts, Graduate Program in Organismic and Evolutionary Biology, University of Massachusetts – sequence: 2 givenname: Caroline A. surname: Curtis fullname: Curtis, Caroline A. organization: Graduate Program in Organismic and Evolutionary Biology, University of Massachusetts – sequence: 3 givenname: Emily J. surname: Fusco fullname: Fusco, Emily J. organization: Graduate Program in Organismic and Evolutionary Biology, University of Massachusetts – sequence: 4 givenname: John T. surname: Abatzoglou fullname: Abatzoglou, John T. organization: Department of Geography, University of Idaho – sequence: 5 givenname: Jennifer K. surname: Balch fullname: Balch, Jennifer K. organization: Earth Lab, CIRES, University of Colorado, Department of Geography, University of Colorado – sequence: 6 givenname: Sepideh surname: Dadashi fullname: Dadashi, Sepideh organization: Earth Lab, CIRES, University of Colorado – sequence: 7 givenname: Mao-Ning surname: Tuanmu fullname: Tuanmu, Mao-Ning organization: Biodiversity Research Center, Academia Sinica |
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ContentType | Journal Article |
Copyright | Springer International Publishing AG, part of Springer Nature 2017 Biological Invasions is a copyright of Springer, (2017). All Rights Reserved. |
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Keywords | Fire regime alteration Invasive grass Invasive plant Grass-fire cycle Moderate Resolution Imaging Spectroradiometer (MODIS) burned area product |
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PublicationTitle | Biological invasions |
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Snippet | Cheatgrass (
Bromus tectorum
) is an invasive grass pervasive across the Intermountain Western US and linked to major increases in fire frequency. Despite... Cheatgrass (Bromus tectorum) is an invasive grass pervasive across the Intermountain Western US and linked to major increases in fire frequency. Despite... |
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SubjectTerms | Abundance Anthropogenic factors Biomedical and Life Sciences Bromus tectorum burning Developmental Biology ecological invasion Ecology ecosystems environmental impact fire frequency fire hazard Fire hazards Freshwater & Marine Ecology Hazards Human influences Intermountain West region invasive species Life Sciences Mathematical models Original Paper Phenology Plant Sciences risk Risk reduction satellites Seasonal variations surveys variance Western United States |
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Title | Cheatgrass (Bromus tectorum) distribution in the intermountain Western United States and its relationship to fire frequency, seasonality, and ignitions |
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