@article{fdi:010090676,
  title = {{P}ractical considerations and limitations of using leaf and canopy temperature measurements as a stomatal conductance proxy : sensitivity across environmental conditions, scale, and sample size},
  author = {{M}ayanja, {I}. {K}. and {D}iepenbrock, {C}. {H}. and {V}adez, {V}incent and {L}ei, {T}. and {B}ailey, {B}. {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}tomatal conductance (gs) is a crucial component of plant physiology, as it links plant productivity and water loss through transpiration. {E}stimating gs indirectly through leaf temperature ({T}l) measurement is common for reducing the high labor cost associated with direct gs measurement. {H}owever, the relationship between observed {T}l and gs can be notably affected by local environmental conditions, canopy structure, measurement scale, sample size, and gs itself. {T}o better understand and quantify the variation in the relationship between {T}l measurements to gs, this study analyzed the sensitivity of {T}l to gs using a high-resolution three-dimensional model that resolves interactions between microclimate and canopy structure. {T}he model was used to simulate the sensitivity of {T}l to gs across different environmental conditions, aggregation scales (point measurement, infrared thermometer, and thermographic image), and sample sizes. {R}esults showed that leaf-level sensitivity of {T}l to gs was highest under conditions of high net radiation flux, high vapor pressure deficit, and low boundary layer conductance. {T}he study findings also highlighted the trade-off between measurement scale and sample size to maximize sensitivity. {S}maller scale measurements (e.g., thermocouple) provided maximal sensitivity because they allow for exclusion of shaded leaves and the ground, which have low sensitivity. {H}owever, large sample sizes (up to 50 to 75) may be needed to differentiate genotypes. {L}arger-scale measurements (e.g., thermal camera) reduced sample size requirements but include low-sensitivity elements in the measurement. {T}his work provides a means of estimating leaf-level sensitivity and offers quantitative guidance for balancing scale and sample size issues.},
  keywords = {},
  booktitle = {},
  journal = {{P}lant {P}henomics},
  volume = {6},
  numero = {},
  pages = {169 [17 p.]},
  ISSN = {2643-6515},
  year = {2024},
  DOI = {10.34133/plantphenomics.0169},
  URL = {https://www.documentation.ird.fr/hor/fdi:010090676},
}