4.5 Article

Forest Structure Drives Fuel Moisture Response across Alternative Forest States

Journal

FIRE-SWITZERLAND
Volume 4, Issue 3, Pages -

Publisher

MDPI
DOI: 10.3390/fire4030048

Keywords

fire; climate change; alternative state; feedbacks; obligate seeder; Eucalyptus regnans; fuel moisture content; fuel availability

Funding

  1. Australian Government Research Training Program (RTP) Scholarship
  2. University of Melbourne [THEMIS TA37690]
  3. Institute of Foresters Australia (IFA)
  4. Department of Environment, Land, Water and Planning [THEMIS TA37690]
  5. Melbourne Water [THEMIS 301102]

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The study investigated the impact of climate warming on fire frequency and dead fuel moisture content in highly productive obligate seeder forests, as well as the moderating role of forest structure. Differences in fuel availability across alternative forest states were found to drive vegetation-fire feedbacks, highlighting the importance of forest structure in influencing forest flammability.
Climate warming is expected to increase fire frequency in many productive obligate seeder forests, where repeated high-intensity fire can initiate stand conversion to alternative states with contrasting structure. These vegetation-fire interactions may modify the direct effects of climate warming on the microclimatic conditions that control dead fuel moisture content (FMC), which regulates fire activity in these high-productivity systems. However, despite the well-established role of forest canopies in buffering microclimate, the interaction of FMC, alternative forest states and their role in vegetation-fire feedbacks remain poorly understood. We tested the hypothesis that FMC dynamics across alternative states would vary to an extent meaningful for fire and that FMC differences would be attributable to forest structural variability, with important implications for fire-vegetation feedbacks. FMC was monitored at seven alternative state forested sites that were similar in all aspects except forest type and structure, and two proximate open-weather stations across the Central Highlands in Victoria, Australia. We developed two generalised additive mixed models (GAMMs) using daily independent and autoregressive (i.e., lagged) input data to test the importance of site properties, including lidar-derived forest structure, in predicting FMC from open weather. There were distinct differences in fuel availability (days when FMC < 16%, dry enough to sustain fire) leading to positive and negative fire-vegetation feedbacks across alternative forest states. Both the independent (r(2) = 0.551) and autoregressive (r(2) = 0.936) models ably predicted FMC from open weather. However, substantial improvement between models when lagged inputs were included demonstrates nonindependence of the automated fuel sticks at the daily level and that understanding the effects of temporal buffering in wet forests is critical to estimating FMC. We observed significant random effects (an analogue for forest structure effects) in both models (p < 0.001), which correlated with forest density metrics such as light penetration index (LPI). This study demonstrates the importance of forest structure in estimating FMC and that across alternative forest states, differences in fuel availability drive vegetation-fire feedbacks with important implications for forest flammability.

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