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Identifying phase-specific environmental drivers of drought-induced vegetation dynamics via spectral proxies

  • Lund University
  • Royal Melbourne Institute of Technology University

Research output: Contribution to journalArticlepeer-review

Abstract

Drought-induced canopy browning and recovery dynamics threaten ecosystem stability worldwide, with Australia serving as a representative case. This study examined the 2019–2020 drought and subsequent recovery in Eucalyptus forests across two bioregions of the Australian state of New South Wales (NSW): the North Coast and South Eastern Highlands. Canopy browning and recovery were quantified using a 2010–2022 Sentinel-2 time series of Normalized Burn Ratio (NBR), which has been previously identified as the most effective spectral index for detecting drought-related declines in canopy greenness, and were validated with field-measured canopy health. Artificial neural networks were used to link NBR z-scores with climatic (precipitation, temperature, potential evapotranspiration), topographic (Topographic Wetness Index, aspect, slope), soil, and vegetation variables. Lagged and cumulative precipitation and temperature emerged as the dominant drivers of canopy browning, while recovery was influenced by potential evapotranspiration and temperature. Regional contrasts underscored the role of local climate, topography, and vegetation composition in shaping drought impacts and post-drought recovery trajectories.

Original languageEnglish
Article number106928
Number of pages17
JournalEnvironmental Modelling and Software
Volume199
DOIs
Publication statusPublished - Apr 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Drought driven canopy browning
  • Eucalypt forest
  • Lagged and cumulative ecosystem responses
  • Machine learning
  • Remote sensing
  • Topography
  • Vegetation recovery

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