The Unstable Relationship Between Drought Status and Leaf Water Content Complicates the Remote Sensing of Tree Drought Stress DOI Creative Commons
Indra Boving, Jean Allen, Philip G. Brodrick

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(4)

Published: April 1, 2025

Remote sensing holds promise for ecosystem-level monitoring of plant drought stress but is limited by uncertain linkages between physiological and remotely sensed metrics water content. Here, we investigate the stability relationships potential (Ψ) content (measured in situ via repeat airborne VSWIR imaging) over diel, seasonal, spatial variation two xeric oak tree species. We also compare these field-based with ones established laboratory settings that might be used as calibration. Due to confounding processes related growth, both lacked consistent when measured across space or through time. Relationships growing season were stronger more closely laboratory-based drydown methods than those (i.e., wet trees dry trees). These results provide insight into utility "space time" approaches remote demonstrate important limitations power high temporal resolution detecting stress.

Language: Английский

The Unstable Relationship Between Drought Status and Leaf Water Content Complicates the Remote Sensing of Tree Drought Stress DOI Creative Commons
Indra Boving, Jean Allen, Philip G. Brodrick

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(4)

Published: April 1, 2025

Remote sensing holds promise for ecosystem-level monitoring of plant drought stress but is limited by uncertain linkages between physiological and remotely sensed metrics water content. Here, we investigate the stability relationships potential (Ψ) content (measured in situ via repeat airborne VSWIR imaging) over diel, seasonal, spatial variation two xeric oak tree species. We also compare these field-based with ones established laboratory settings that might be used as calibration. Due to confounding processes related growth, both lacked consistent when measured across space or through time. Relationships growing season were stronger more closely laboratory-based drydown methods than those (i.e., wet trees dry trees). These results provide insight into utility "space time" approaches remote demonstrate important limitations power high temporal resolution detecting stress.

Language: Английский

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