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Updated: Mar 31, 2026

The Calibration and Use of Capacitance Sensors to Monitor Stem Water Content in Trees
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    Understanding forest dieback requires integrating multiple data sources. Combining satellite data and tree ring analysis reveals complex drought impacts and highlights the need for varied metrics to assess forest resilience.

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    Area of Science:

    • Forest Ecology
    • Climate Change Science
    • Remote Sensing

    Background:

    • Forest ecosystems face increasing pressure from climate change, with poorly understood drivers of mortality events.
    • Assessing forest decline is crucial for management, but mortality patterns are often spatially and temporally complex.
    • Integrating diverse research methods is essential to capture informative patterns in forest dynamics.

    Purpose of the Study:

    • To conduct a landscape-scale assessment of mortality and its determinants in Pinus halepensis forests under drought stress.
    • To analyze the spatiotemporal variation in forest performance using multiple data sources.
    • To evaluate the effectiveness of different metrics in assessing forest resilience.

    Main Methods:

    • Integrated Normalized Difference Vegetation Index (NDVI) time-series from Landsat satellite imagery.
    • Analyzed individual dead tree point patterns from high-resolution aerial photographs.
    • Utilized Basal Area Increment (BAI) time-series from dendrochronological sampling.

    Main Results:

    • Mortality risk was associated with older, sparser stands, southern aspects, and deeper soils, but patterns were patchy and not fully explained by environmental factors.
    • Drought-affected areas differed between two recent severe drought periods, indicating complex spatiotemporal impacts.
    • Merging dendroecological and remote sensing data provided unique insights, contrasting with potential biases from single-approach analyses.

    Conclusions:

    • Forest resilience evaluation requires multiple metrics to detect changes at different organizational levels.
    • Dendrochronological data alone can overestimate resilience by focusing only on surviving trees.
    • Thinning semiarid forests may not enhance survival during extreme droughts, contrary to expectations.