Probing Early and Long-Term Drought Responses in Kauri Using Canopy Hyperspectral Imaging
Global increases in drought frequency and severity pose growing risks to forest resilience, particularly for long-lived endemic tree species such as kauri (Agathis australis). Building on prior leaf-level work, this study assessed the utility of multitemporal canopy-scale hyperspectral imaging to characterise water stress in both controlled nursery and field conditions. Two complementary experiments were undertaken: (i) a 10-week controlled-environment experiment comparing drought and control groups, and (ii) a field-based assessment of juvenile kauri trees across multiple time points with contrasting soil volumetric water content. In the controlled-environment experiment, drought-treated seedlings exhibited delayed physiological responses, with reductions in stomatal conductance and assimilation emerging only after three weeks. In contrast, time-series analysis of narrow band hyperspectral indices (NBHIs) revealed detectable stress signatures within one week after drought initiation, with early sensitivity driven by structural and pigment-related indices. As stress progressed, pigment-specific indices became the dominant predictors. These findings were consistent with the field-based experiment. Variation in leaf equivalent water thickness (EWT) was strongly explained by pigment-sensitive indices, including Pigment Specific Simple Ratio Carotenoid (PSSRc) and Carotenoid Reflectance indices (CRI700 and CRI550), which together accounted for ca. 87% of the variance. Structural indices such as the Normalised Difference Vegetation Index (NDVI) also ranked among the top 20 predictors, but had comparatively lower explanatory power (<75%). Overall, the two experiments show that canopy-based hyperspectral imaging provides early, sensitive, and consistent detection of water stress in kauri. The findings highlight a scalable approach for monitoring drought impacts on kauri and offer a foundation for developing operational forest health tools under increasing climate pressure.
Authors
- Taoho Patuawa
- Mark Jayson B. Felix (ORCID: https://orcid.org/0009-0003-7997-3840)
- Russell Main (ORCID: https://orcid.org/0000-0003-1967-1122)
- Michael S. Watt (ORCID: https://orcid.org/0000-0001-6752-9134)
Institutions
- Rotorua Hospital (NZ)
- New Zealand Institute for Public Health and Forensic Science (NZ)
- Department of Conservation (NZ)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-12-03
- DOI
- https://doi.org/10.3390/rs17233914
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministry of Business, Innovation and Employment
- Serono Symposia International Foundation