Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What is an Ecosystem?01:17

What is an Ecosystem?

46.9K
Overview
46.9K
The Soil Ecosystem02:23

The Soil Ecosystem

24.7K
Plants obtain inorganic minerals and water from the soil, which acts as a natural medium for land plants. The composition and quality of soil depend not only on the chemical constituents but also on the presence of living organisms. In general, soils contain three major components:
24.7K
Social Exchange Theory02:06

Social Exchange Theory

40.8K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
40.8K
Gas Exchange and Transport01:20

Gas Exchange and Transport

76.8K
Gas exchange, the intake of molecular oxygen (O2) from the environment and the outflow of carbon dioxide (CO2) into the environment, is necessary for cellular function. Gas exchange during respiration occurs largely via the movement of gas molecules along pressure gradients. Gas travels from areas of higher partial pressure to areas of lower partial pressure. In mammals, gas exchange occurs in the alveoli of the lungs, which are adjacent to capillaries and share a membrane with them.
76.8K
Machines01:19

Machines

576
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
576
Capillary Exchange01:28

Capillary Exchange

11.2K
The cardiovascular system's chief role is to disseminate gases, nutrients, waste, and other substances to the body's cells. Small molecules like gases, lipids, and lipid-soluble substances directly diffuse through capillary wall endothelial cell membranes. Glucose, amino acids, and ions, including sodium, potassium, calcium, and chloride, use transporters for facilitated diffusion via membrane-specific channels. Glucose, ions, and bigger molecules may also pass through intercellular...
11.2K

You might also read

Related Articles

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

Sort by
Same author

Local and distal processes determine precipitation isotope records in the Great Plains USA.

The Science of the total environment·2026
Same author

Clinical Management of Severe <i>Cupriavidus gilardii</i> Superinfection After Influenza a Virus Pneumonia: A Case Report and Literature Review.

Infectious disease reports·2026
Same author

Prognostic Significance of BALF Neutrophil Percentage and Hypoxemia in Non-HIV <i>Pneumocystis jirovecii</i> Pneumonia: A Retrospective Cohort Study.

Infection and drug resistance·2026
Same author

Study on the efficacy and mechanism of resistant dextrin combined with mulberry leaf extract in ameliorating type 2 diabetes mellitus.

Food & function·2025
Same author

Sarcopenia diagnosed by chest CT predicts long-term mortality in critically ill patients with exacerbation of chronic obstructive pulmonary disease.

European journal of radiology·2025
Same author

The impact of IGRA positivity in untreated inactive pulmonary tuberculosis on IVF-ET outcomes in infertile women: an ambispective cohort study.

Frontiers in medicine·2025

Related Experiment Video

Updated: Jan 29, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K

Examining Interactions Between and Among Predictors of Net Ecosystem Exchange: A Machine Learning Approach in a

Qingtao Zhou1, Aaron Fellows2, Gerald N Flerchinger2

  • 1Department of Natural Resources, University of New Hampshire, Durham, NH, USA. qingtaozhou@gmail.com.

Scientific Reports
|February 20, 2019
PubMed
Summary

This study uses machine learning to estimate carbon dioxide exchange (Net Ecosystem Exchange - NEE) between land and atmosphere. The model accurately predicts NEE using satellite and ground data, aiding ecosystem monitoring.

More Related Videos

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

7.3K
A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
13:56

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

11.6K

Related Experiment Videos

Last Updated: Jan 29, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis
09:16

Supervised Machine Learning for Semi-Quantification of Extracellular DNA in Glomerulonephritis

Published on: June 18, 2020

7.3K
A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
13:56

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

11.6K

Area of Science:

  • Ecology
  • Climate Science
  • Remote Sensing

Background:

  • Net ecosystem exchange (NEE) quantifies carbon dioxide (CO2) transfer between terrestrial ecosystems and the atmosphere, serving as a critical climate indicator.
  • Accurate spatiotemporal NEE estimates are vital for constraining terrestrial carbon fluxes, validating land models, and advancing ecosystem monitoring.
  • Combining ground-based flux tower data with remote sensing offers potential for robust NEE estimations.

Purpose of the Study:

  • To develop and validate a machine learning approach for generating spatiotemporally explicit Net ecosystem exchange (NEE) estimates.
  • To integrate ground-based flux tower observations with satellite-retrieved variables for improved carbon flux monitoring.
  • To assess the efficacy of machine learning in creating extensive datasets for land model verification.

Main Methods:

  • Applied a Random Forest (RF) machine learning model.
  • Utilized flux tower observations and remotely sensed data (fPAR, LAI) alongside ground-based measurements (soil moisture, solar radiation, precipitation, temperature).
  • Developed and validated the model in the Reynolds Creek Experimental Watershed (RCEW), Idaho, USA.

Main Results:

  • The RF model demonstrated strong agreement with observed NEE data (r² = 0.87).
  • Temporal patterns of NEE were successfully validated for independent years at separate sites.
  • Leaf Area Index (LAI), downward solar radiation, and soil moisture were identified as key predictors.

Conclusions:

  • Machine learning effectively integrates diverse observational datasets for NEE estimation.
  • The developed approach provides a powerful tool for creating spatiotemporally extensive carbon flux datasets.
  • This methodology enhances capabilities for land model verification and benchmarking.