Using a prescribed fire to test custom and standard fuel models for fire behaviour prediction in a non‐native, grass‐invaded tropical dry shrubland
QUESTIONS: Do fuel models developed for North American fuel types accurately represent fuel beds found in non‐native, grass‐invaded tropical dry shrublands? Do standard or custom fuel models used in fire behaviour models with in situ or remote automated weather stations (RAWS) measured fuel moisture...
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Published in | Applied vegetation science Vol. 17; no. 4; pp. 700 - 710 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Lanna
Opulus Press
01.10.2014
Blackwell Publishing Ltd John Wiley & Sons Ltd Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 1402-2001 1654-109X |
DOI | 10.1111/avsc.12111 |
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Summary: | QUESTIONS: Do fuel models developed for North American fuel types accurately represent fuel beds found in non‐native, grass‐invaded tropical dry shrublands? Do standard or custom fuel models used in fire behaviour models with in situ or remote automated weather stations (RAWS) measured fuel moistures affect the accuracy of predicted fire behaviour in grass‐invaded tropical shrublands? LOCATION: Hawai'i Volcanoes National Park, Hawai'i, USA. METHODS: Pre‐fire fuel loads of coarse woody debris, live herbaceous and live woody fuel loads were quantified with Brown's transects and biomass sampling to create a custom fuel model for non‐native grass‐invaded tropical dry shrublands in Hawai'i. In situ fuel moistures were quantified using oven‐dried vegetation samples, and compared to RAWS estimated fuel moistures. Fire behaviour was recorded on a stationary video camera to quantify flame length (FL) and rate of spread (ROS). Observed fire behaviour was compared to BehavePlus predicted fire behaviour parameterized with both standard and customized fuel models, and in situ and RAWS‐based estimates of fuel moisture. RESULTS: The custom fuel model and measured fuel moistures performed better than most standard models, but over‐predicted actual ROS and top decile FL by 29% and 26%, respectively. The best match between observed and modelled fire behaviour came from a standard fuel model for shrublands with a grassy matrix (23% under‐prediction for ROS and 9% under‐prediction for FL) using measured fuel moistures. Using fuel moistures and wind speeds estimated from the nearest RAWS station (5 km from the fire) substantially decreased prediction accuracy of the custom fuel model and increased its relative error to 71% over‐prediction of ROS and 45% over‐prediction of FL. CONCLUSIONS: Fire behaviour in at least some tropical fuel beds can be accurately modelled using certain standard or custom fuel models. Standard fuel models should not be applied uncritically to systems outside of North America, as our comparison showed widely ranging accuracy across six standard models. In addition, the current reliance on RAWS data for meteorological inputs to predict fire behaviour in the tropics, especially in the US‐affiliated tropical Pacific, must be used with caution. Instead, field‐measured fuel moistures should be used when possible. |
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Bibliography: | http://dx.doi.org/10.1111/avsc.12111 Institute of Pacific Islands Forestry and The US Army Garrison, Hawai'i Pacific Southwest Research Station Research Joint Ventures - No. 08-JV-11272177-051; No. 08-JV-11272177-074; No. 12-JV-11272138-037 ArticleID:AVSC12111 USDA Forest Service ark:/67375/WNG-B41MHWF6-M College of Tropical Agriculture and Human Resources Hatch and McIntire-Stennis Programs - No. HAW00132-H; No. HAW00188-M; No. HAW01123-M istex:FEAB9F5A54FE2394BA44A711854507F0ABE3C843 University of Hawai'i at Mānoa via the USDA National Institute of Food and Agriculture Strategic Environmental Research and Development Program (SERDP) - No. RC-1645 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1402-2001 1654-109X |
DOI: | 10.1111/avsc.12111 |