Javier Pacheco‐Labrador

This study evaluates how different types of uncertainty affect remote sensing estimates of plant functional diversity, showing random errors have a greater impact than systematic errors.

This paper reviews the integration of field-based ecology and remote sensing to estimate plant functional diversity, identifying conceptual and methodological gaps and opportunities for convergence.

The paper examines root growth patterns in a temperate grassland under water stress, finding continuous growth except during a dry spring period when growth was limited to daytime.

This study benchmarks remote sensing methods to estimate plant functional diversity using synthetic data from BOSSE, identifying optimal metrics, variables, and validation strategies.