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Volume 9, Issue 21 (October 2005)

Satellite Monitoring of Vegetation Phenology and Fire Fuel Conditions in Hawaiian Drylands

Andrew J. Elmore* and Gregory P. Asner

Department of Global Ecology, Carnegie Institution of Washington, Stanford, California

R. Flint Hughes

Institute of Pacific Islands Forestry, USDA Forest Service, Hilo, Hawaii





Abstract

Grass-fueled fires accelerate grassland expansion into dry Hawaiian woodlands by destroying native forests and by producing a disturbance regime that favors grass-dominated plant communities. Knowledge of grassland phenology is a key component of ecosystem assessments and fire management in Hawaii, but diverse topographic relief and poor field-sampling capabilities make ground studies impractical. Remote sensing offers the best approach for large-scale, spatially contiguous measurements of dryland vegetation phenology and fire fuel conditions. A 500-m spatial resolution, 8-day temporal resolution Terra Moderate Resolution Imaging Spectroradiometer (MODIS) satellite time series of photosynthetic vegetation (PV), nonphotosynthetic vegetation (NPV), and exposed substrate conditions was developed for the island of Hawaii between 2000 and 2004. The results compared favorably with similar measurements of drylands from higher-resolution aircraft data. The satellite time series was compared with available environmental data on precipitation, fire history, and grazing intensity. From these analyses, the temporal patterns of PV and its conversion to NPV and finally to bare substrate were observed. An NPV buildup following fire of 7–8 yr was projected, and more heavily grazed lands were found to exhibit reduced NPV cover, most notably during the summer fire season. These results demonstrate the effects that land use and disturbance history have on fire conditions, and they support the concept that grazed lands managed to reduce litter buildup pose a lower risk of fire across ample geographic scales. Time series of satellite observations with modern analysis techniques can be used with environmental data to support a regional fire-monitoring program throughout Hawaii.

Keywords: Hawaii, Wildfire, Remote sensing

Received: March 3, 2005; Accepted: August 26, 2005

* Corresponding author address: Andrew J. Elmore, Dartmouth College, Environmental Studies Program, 6182 Steele Hall, Hanover, NH 03755.

This article included in the Large-Scale Biosphere-Atmosphere (LBA) Experiment special collection.

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David R. Weise, Scott L. Stephens, Francis M. Fujioka, Tadashi J. Moody, John Benoit. (2010) Estimation of Fire Danger in Hawai'i Using Limited Weather Data and Simulation 1. Pacific Science 64:2, 199-220
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Thomas W. Gillespie, Jasmine Chu, Stephanie Pau. (2008) Non-Native Plant Invasion of the Hawaiian Islands. Geography Compass 2:5, 1241-1265
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Timothy A. Varga, Gregory P. Asner. (2008) HYPERSPECTRAL AND LIDAR REMOTE SENSING OF FIRE FUELS IN HAWAII VOLCANOES NATIONAL PARK. Ecological Applications 18:3, 613-623
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Christian P. Giardina, Creighton M. Litton, Jarrod M. Thaxton, Susan Cordell, Lisa J. Hadway, Darren R. Sandquist. (2007) Science Driven Restoration: A Candle in a Demon Haunted World?Response to Cabin (2007). Restoration Ecology 15:2, 171-176
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ANDREW J. ELMORE, GREGORY P. ASNER. (2006) Effects of grazing intensity on soil carbon stocks following deforestation of a Hawaiian dry tropical forest. Global Change Biology 12:9, 1761-1772
Online publication date: 1-Sep-2006.
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