Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

Light as Energy

Light as Energy

The energy required to carry out photosynthesis is light— typically electromagnetic radiation from the sun. The range of all possible wavelengths is known as the electromagnetic spectrum.
Photons
A photon is a discrete electromagnetic particle or bundle of energy. Photons are characterized by their frequency, wavelength, and amplitude, similar to the properties of a wave. Waves with higher frequencies transmit more energy and have shorter wavelengths than longer wavelengths that transmit...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Wildfire Smoke and Cardiorespiratory Emergency Visits in New Mexico 2022: Sensitivity to Exposure Estimates and Referent Periods.

GeoHealth·2026

Same author

Eddy Covariance Theory: A Review.

Global change biology·2026

Same author

Injectable pH-responsive gelatin methacryloyl hydrogel for cuproptosis-synergized sunitinib therapy and immune reprogramming in clear cell renal cell carcinoma.

Acta biomaterialia·2026

Same author

IDMME and IDMDE: inducible CRISPR-dCasRx platforms for spatiotemporal RNA m<sup>5</sup>C editing.

Genome biology·2026

Same author

Reply to: The size of tropical vegetation gross primary production.

Nature·2026

Same author

Conditional reliability of chlorophyll fluorescence for inferring photosynthesis in <i>Ginkgo biloba</i>: evidence from fluctuating light and drought conditions.

Plant phenomics (Washington, D.C.)·2026

Search research articles

Related Experiment Video

Updated: Aug 9, 2025

Evaluation of Photosynthetic Behaviors by Simultaneous Measurements of Leaf Reflectance and Chlorophyll Fluorescence Analyses

Evaluation of Photosynthetic Behaviors by Simultaneous Measurements of Leaf Reflectance and Chlorophyll Fluorescence Analyses

Published on: August 9, 2019

From remotely-sensed solar-induced chlorophyll fluorescence to ecosystem structure, function, and service: Part

Ying Sun¹, Jiaming Wen¹, Lianhong Gu²

¹School of Integrative Plant Science, Soil and Crop Sciences Section, Cornell University, Ithaca, New York, USA.

Global Change Biology

|February 21, 2023

Summary

Quality and consistency of solar-induced chlorophyll fluorescence (SIF) data remain challenging, leading to conflicting ecological findings. Improving SIF data quality and standardization is crucial for accurate ecosystem assessments under climate change.

Keywords:

SIF carbon cycle climate change photosynthesis precision agriculture retrievals stress monitoring and early warning vegetation index

More Related Videos

Measuring Photophysiology of Attached Stage of Colacium sp. by a Cuvette-Type Fast Repetition Rate Fluorometer

Measuring Photophysiology of Attached Stage of Colacium sp. by a Cuvette-Type Fast Repetition Rate Fluorometer

Published on: November 12, 2021

Laser-Induced Fluorescence Emission L.I.F.E. as Novel Non-Invasive Tool for In-Situ Measurements of Biomarkers in Cryospheric Habitats

Laser-Induced Fluorescence Emission L.I.F.E. as Novel Non-Invasive Tool for In-Situ Measurements of Biomarkers in Cryospheric Habitats

Published on: October 26, 2019

Related Experiment Videos

Last Updated: Aug 9, 2025

Evaluation of Photosynthetic Behaviors by Simultaneous Measurements of Leaf Reflectance and Chlorophyll Fluorescence Analyses

Evaluation of Photosynthetic Behaviors by Simultaneous Measurements of Leaf Reflectance and Chlorophyll Fluorescence Analyses

Published on: August 9, 2019

Measuring Photophysiology of Attached Stage of Colacium sp. by a Cuvette-Type Fast Repetition Rate Fluorometer

Measuring Photophysiology of Attached Stage of Colacium sp. by a Cuvette-Type Fast Repetition Rate Fluorometer

Published on: November 12, 2021

Laser-Induced Fluorescence Emission L.I.F.E. as Novel Non-Invasive Tool for In-Situ Measurements of Biomarkers in Cryospheric Habitats

Laser-Induced Fluorescence Emission L.I.F.E. as Novel Non-Invasive Tool for In-Situ Measurements of Biomarkers in Cryospheric Habitats

Published on: October 26, 2019

Area of Science:

Earth and Environmental Sciences
Remote Sensing
Ecology

Background:

Observing capabilities for solar-induced chlorophyll fluorescence (SIF) are advancing rapidly.
However, the quality and consistency of SIF datasets are still under development, leading to significant inconsistencies.
These inconsistencies impact the reliability of SIF data across various scales and applications.

Purpose of the Study:

To synthesize the variety, scale, and uncertainty of existing SIF datasets.
To review diverse applications of SIF data in ecology, agriculture, hydrology, climate, and socioeconomics.
To clarify how SIF data inconsistencies affect process interpretation and contribute to contradictory findings.

Main Methods:

Systematic review and synthesis of existing SIF datasets and their applications.
Analysis of data quality, uncertainty, and biases in SIF observations.
Evaluation of the impact of data inconsistencies on ecological interpretations.

Main Results:

Considerable inconsistencies exist among diverse SIF datasets, hindering widespread application.
SIF data biases and uncertainties significantly confound the interpretation of functional relationships with ecological indicators.
Contradictory findings in various applications stem from data inconsistencies and theoretical complexities.

Conclusions:

Accurate interpretation of SIF relationships with ecological indicators requires a thorough understanding of data quality and uncertainty.
Gaps and uncertainties in current SIF observations need to be addressed.
Innovations in in-situ SIF observation, data standardization, and coordinated networks are essential for improving ecosystem assessments under climate change.