Atmospheric dryness removes barriers to the development of large forest fires DOI Creative Commons
Jane G. Cawson, Luke Collins, Sean A. Parks

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 350, P. 109990 - 109990

Published: March 30, 2024

Language: Английский

The interior climate and its microclimatic variation of temperate forests in Northern Patagonia, Argentina DOI Creative Commons
Alois Simon, Jonas Fierke, Ernesto J. Reiter

et al.

International Journal of Biometeorology, Journal Year: 2024, Volume and Issue: 68(4), P. 719 - 730

Published: Jan. 27, 2024

Abstract Knowledge on mesoclimatic zonation and microclimatic variations within mountain forest ecosystems is crucial for understanding regional species turnover effects of climate change these systems. The temperate forests in the Andean region South America are among largest contiguous natural deciduous areas world. Due to their pronounced disturbance regime different successional stages, a climatic combined with characterisation its variation important identify thresholds occurrences. We used micro-loggers measure air temperature relative humidity one year at 40 measurement locations along longitudinal elevation gradients Northern Patagonia, Argentina. Our results unveil patterns characterised by vapour pressure deficit elevational gradient general, but also times year. For example, Austrocedrus chilensis Nothofagus dombeyi differed mainly diurnal range warmest months Also, differences between stands gaps were more lower elevations, up 2.5 K higher temperatures second half day gaps. found clear indications that shrubland antarctica representing stage after disturbances alters pattern, favouring fire ignition. Such have major influence tree ecological processes ecosystems. findings contribute our complex interplay topography, climate, vegetation shaping spatial

Language: Английский

Citations

7

Fire Hazards: Socio-economic and Regional Issues DOI Creative Commons
Jesús Rodrigo‐Comino, Luca Salvati, Artemi Cerdà

et al.

Springer eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

7

Australia’s 2019/20 Black Summer fire weather exceptionally rare over the last 2000 years DOI Creative Commons
Danielle Udy, Tessa R. Vance, Anthony S. Kiem

et al.

Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)

Published: June 13, 2024

Abstract Australia’s record-breaking 2019/20 Black Summer fire weather resulted from a combination of natural and anthropogenic climate factors, but the full range variability in is unknown. We reconstruct southeast Australian over Common Era based on an East Antarctic ice core sea-salt aerosol record. This record reflects Southern Ocean synoptic-scale patterns stratospheric polar vortex strength that pre-condition elevated danger Australia. show (a) intensity was unprecedented since 1950 (b) frequency above average seasons 2010–2020 has only occurred once (over 1977–1987), there are analogues for similar extreme caused by 2000-year reconstruction. highlights need risk mitigation considers plausible as well forcing.

Language: Английский

Citations

6

VPD-based models of dead fine fuel moisture provide best estimates in a global dataset DOI Creative Commons

Marcos Rodrígues,

Víctor Resco de Dios, Ângelo Sil

et al.

Agricultural and Forest Meteorology, Journal Year: 2023, Volume and Issue: 346, P. 109868 - 109868

Published: Dec. 30, 2023

Dead fine fuel moisture content (FM) is one of the most important determinants fire behavior. Fire scientists have attempted to effectively estimate FM for nearly a century, but we are still lacking broad scale evaluations different approaches prediction. Here tackle this problem by taking advantage or recently compiled global behavior database (BONFIRE) gathering 1603 records 1h (i.e., <6 mm diameter thickness) dead from measurements before experimental fires. We compared results models routinely used agencies worldwide, empirical models, semi-mechanistic and also non-linear machine learning based on either temperature relative humidity vapor pressure deficit (VPD). A model VPD showed best performance across all ranges historical developed in Australia (MK5) was additionally recommended low estimations. observed significant differences dynamics between vegetation types with grasslands more responsive changes atmospheric dryness than woody ecosystems. The addition computational complexity through not since gain fit small increase complexity. Future research efforts should concentrate predictions at (<10 %) as range where poorest observed. Model available https://hcfm.shinyapps.io/shinyfmd/.

Language: Английский

Citations

12

Atmospheric dryness removes barriers to the development of large forest fires DOI Creative Commons
Jane G. Cawson, Luke Collins, Sean A. Parks

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 350, P. 109990 - 109990

Published: March 30, 2024

Language: Английский

Citations

5