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partial least squares regression (PLSR) (Salicaceae)
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Knowledge graph centered on partial least squares regression (PLSR) (Salicaceae) with 40 nodes and 105 connections. Top connected: phenological mismatch, phenotypic plasticity, Integrating airborne remote sensing and field camp, drought stress, heritability.
Description
PLSR modeling approach using leaf spectral reflectance measurements to extrapolate functional trait values from subset of direct measurements to larger sample sizes. Ten-fold cross-validation used for model calibration.
Typical Equipment
- ASD FieldSpec HandHeld 2 spectroradiometer
- leaf clip
Output Measurements
- predicted LNC
- predicted Amax
- predicted Rd
Papers Using This Protocol (6)
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Relaxation of the leaf economics spectrum within and across quaking aspen Populus tremuloides genotypes
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Climate lags and genetics determine phenology in quaking aspen (Populus tremuloides)
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Remote sensing of cytotype and its consequences for canopy damage in quaking aspen
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Remote sensing of ploidy level in quaking aspen (<i>Populus tremuloides</i> Michx.)
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Integrating airborne remote sensing and field campaigns for ecology and Earth system science
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