Understanding the vulnerability of plants to more severe and frequent drought events and developing adaptive management strategies requires robust methods for quantifying long‐term changes in plant water stress (PWS). Most data‐driven explorations of long‐term trends in PWS have focused on alterations in canopy structure (e.g., leaf area index) or canopy structure‐dependent variables (e.g., gross primary productivity and evapotranspiration). This is largely because long‐term trends in canopy structure are relatively easy to detect from satellite observations. However, a focus on structural responses limits our ability to detect physiological stress due to challenges in isolating it from the effects of structural greening. Consequently, this difficulty hampers a comprehensive examination of long‐term PWS in the context of global greening trends. To address this gap, we developed a new process‐based metric for PWS to isolate physiological responses from structural greening, which we then used to detect global PWS trends over the past four decades. Combining site‐level and satellite observations at the half‐degree resolution across the globe, we found that accounting for greening‐related changes substantially alters the sign of long‐term PWS trends inferred from traditional approaches. Specifically, our study reveals a significant increase in PWS that is only detectable when accounting for structural greening trends. When greening trends are not accounted for, global PWS appears to have decreased over time. Overall, our results highlight the need to integrate structural dynamics and greening into PWS detection. Such an integration of observations and land models will improve our understanding of plant‐water‐energy interactions.
A machine learning approach and utilizing multi-source satellite remote-sensing and field-collected sPlotOpen measurements data, the first global community-level map of CSR functional strategy variations is generated, providing critical insights into global plant community dynamics under challenging abiotic conditions.
Jing Wang, Simon Pierce, Yuanzhi Li et al.· National Science Review· 0 citations
The article introduces a new Forest Stress Index (ISF) based on a plant hydraulic modelling approach rather than classical climatic drought indices. Unlike other index like scPDSI or SPEI, ISF is grounded in xylem embolism dynamics simulated with the mechanistic SurEau model. The goal is to better link climatic anomali...
Hervé Cochard, Maxime Cailleret, Médéric Aubry et al.· bioRxiv· 0 citations
Visual assessments of growing forest nursery plants are time-consuming and often result in a lack of information at a physiological level. There exists a need for health screening in nurseries, that is fast and efficient, to improve overall health monitoring and nursery productivity. Rapid handheld sensors such as rapi...
Regardt Ferreira, K. Peerbhay, Na’eem Agjee et al.· New forests· 0 citations
Remotely sensed measurements of equivalent water thickness (EWT) derived from visible–shortwave infrared imaging spectroscopy data have the potential to revolutionize how we monitor drought in natural ecosystems. However, the mechanistic underpinnings of EWT measurements are still relatively unknown. We collected coinc...
Jean Allen, L. Anderegg, Dar A. Roberts et al.· New Phytologist· 0 citations
The viability of peatlands as terrestrial carbon sinks is unknown as peatland carbon losses could be offset, or exacerbated, by increased plant growth. The response of fine‐roots to changing conditions in these ecosystems will be critical to understanding plant access to water, acquisition of nutrients, and ecosystem s...
S. E. Weber, J. Childs, John M. Latimer et al.· Journal of Ecology· 0 citations
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