
Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 321, P. 114687 - 114687
Published: March 6, 2025
Language: Английский
Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 321, P. 114687 - 114687
Published: March 6, 2025
Language: Английский
Forest Ecology and Management, Journal Year: 2025, Volume and Issue: 580, P. 122486 - 122486
Published: Jan. 29, 2025
Language: Английский
Citations
0Fire, Journal Year: 2025, Volume and Issue: 8(3), P. 92 - 92
Published: Feb. 25, 2025
The intensity of wildfires has increased dramatically in recent decades; thus, better understanding the impact land-management efforts biodiversity conservation on post-wildfire recovery could highlight value these interventions. Field assessments are often costly; therefore, monitoring effectiveness applied practices using remote sensing tools is critical. main goal this study to develop and apply a framework assess post-fire recovery. We focused area northern California southern Oregon, region with diverse wildfire activity past decade. proposed uses MODIS dataset identify fire burn events Landsat analyze time series an area-aggregated vegetation index, Normalized Burn Ratio (NBR). Using framework, we confirmed our hypothesis that areas lacking protection practices, slower more lingering. median 5-year dNBR for unprotected was around 27%, compared 37% across all other areas. Along primary analysis, also examined severity different moderate-to-severe capture differences characteristics under conversation practices. This analysis revealed experienced severe events. investigated three dominant forest types area: Dry-Mesic Conifer, Mesic Evergreen Forests. disparity between protected non-protected most pronounced dominated by aggregated highlights importance approach provide cost-efficient tool assessing globe.
Language: Английский
Citations
0Global Change Biology, Journal Year: 2025, Volume and Issue: 31(2)
Published: Feb. 1, 2025
ABSTRACT Extreme fire spread events rapidly burn large areas with disproportionate impacts on people and ecosystems. Such are associated warmer drier seasons expected to increase in the future. Our understanding of landscape outcomes extreme is limited, particularly regarding whether they more severely or produce spatial patterns less conducive ecosystem recovery. To assess relationships between rates severity patterns, we used satellite detections create day‐of‐burning maps for 623 fires comprising 4267 single‐day within forested ecoregions southwestern United States. We related satellite‐measured a suite high‐severity patch metrics daily area burned. (defined here as burning > 4900 ha/day) exhibited higher mean severity, greater proportion burned severely, increased like adjacencies pixels. Furthermore, increasing also resulted distances patches live tree seed sources. High‐severity size total core were substantially containing one than without an event. Larger homogenous produced during can limit regeneration set stage protracted forest conversion. These be magnified under future climate scenarios, accelerating fire‐driven loss long‐term ecological change.
Language: Английский
Citations
0Fire Ecology, Journal Year: 2025, Volume and Issue: 21(1)
Published: March 4, 2025
Language: Английский
Citations
0Remote Sensing of Environment, Journal Year: 2025, Volume and Issue: 321, P. 114687 - 114687
Published: March 6, 2025
Language: Английский
Citations
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