Timelines of vegetation recovery following fire in a shrub-dominated Mediterranean-type ecosystem
Abstract
Fire is a natural disturbance in many Mediterranean-type ecosystems, but wildfires are increasing in frequency and severity in many places worldwide, including California. Vegetation recovery following wildfire is critical for landscape stability and foundational to resilience of many ecosystem processes in the years and decades that follow fire. While remote sensing tools are increasingly important for mapping changes in vegetation following fire, to date these tools have limited application in shrubland systems such as those found in parts of California, hindering assessments of vegetation recovery timelines and inferences about ecological impacts. Using a 100-year fire history dataset alongside both field vegetation surveys (2014-2025) and modeled percent vegetation cover (1986-2025), we analyzed temporal cover dynamics of dominant vegetation classes in the years leading up to, and following, major wildfire events in the Santa Monica Mountains of California. Field survey data broadly corresponded with modeled vegetation cover, particularly for shrubs and herbaceous/graminoid cover. We identified consistent patterns in vegetation cover classes among dominant vegetation communities, including reductions in shrub and tree cover following fire in chaparral and grasslands, and pulses in herbaceous and graminoid cover in chaparral and upland woodlands, in the initial 2-5 years following fire. Herbaceous and graminoid cover returned to baseline levels faster than shrubs, which in turn recovered faster than trees. These results corroborate previous field-based studies of vegetation recovery following wildfire, and point toward modeled remote sensing products as a feasible tool for tracking post-fire recovery dynamics in remote and rugged terrain.
Related
- Long-Term Effects of Vineyard Floor Vegetation Management on Grapevine Physiology, Yield and Wine Color Attributes Under Mediterranean Conditions
- Inter-row vegetation benefits soil invertebrates in Mediterranean organic vineyards
- Seabirds and native vegetation drive ecosystem processes that support atoll island resilience
- Pioneer vegetation shapes soil microbial community assembly and ecosystem functions in riparian sand mining sites
- Vegetation type-associated variations in soil enzyme stoichiometry, bacterial composition and functional potential in an arid mining ecosystem of Xinjiang, China
BibTeX
@misc{john2026timelines,
title = {{Timelines of vegetation recovery following fire in a shrub-dominated Mediterranean-type ecosystem}},
author = {Christian John and Ellen C. Bolas and Ashley Grupenhoff and Mark Mendelsohn and Jr., Joseph Algiers and Justine A. Smith},
howpublished = {EcoEvoRxiv},
year = {2026},
month = sep,
doi = {10.32942/x2vx0p},
url = {https://ecoevorxiv.org/repository/view/15196/},
note = {CC BY-NC 4.0},
}
RIS
TY - UNPB
TI - Timelines of vegetation recovery following fire in a shrub-dominated Mediterranean-type ecosystem
AU - Christian John
AU - Ellen C. Bolas
AU - Ashley Grupenhoff
AU - Mark Mendelsohn
AU - Jr., Joseph Algiers
AU - Justine A. Smith
PY - 2026
DA - 2026/09/28
PB - EcoEvoRxiv
DO - 10.32942/x2vx0p
UR - https://ecoevorxiv.org/repository/view/15196/
AB - Fire is a natural disturbance in many Mediterranean-type ecosystems, but wildfires are increasing in frequency and severity in many places worldwide, including California. Vegetation recovery following wildfire is critical for landscape stability and foundational to resilience of many ecosystem processes in the years and decades that follow fire. While remote sensing tools are increasingly important for mapping changes in vegetation following fire, to date these tools have limited application in shrubland systems such as those found in parts of California, hindering assessments of vegetation recovery timelines and inferences about ecological impacts. Using a 100-year fire history dataset alongside both field vegetation surveys (2014-2025) and modeled percent vegetation cover (1986-2025), we analyzed temporal cover dynamics of dominant vegetation classes in the years leading up to, and following, major wildfire events in the Santa Monica Mountains of California. Field survey data broadly corresponded with modeled vegetation cover, particularly for shrubs and herbaceous/graminoid cover. We identified consistent patterns in vegetation cover classes among dominant vegetation communities, including reductions in shrub and tree cover following fire in chaparral and grasslands, and pulses in herbaceous and graminoid cover in chaparral and upland woodlands, in the initial 2-5 years following fire. Herbaceous and graminoid cover returned to baseline levels faster than shrubs, which in turn recovered faster than trees. These results corroborate previous field-based studies of vegetation recovery following wildfire, and point toward modeled remote sensing products as a feasible tool for tracking post-fire recovery dynamics in remote and rugged terrain.
ER -