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

Work and Energy for Variable Forces01:10

Work and Energy for Variable Forces

5.7K
When an object is acted upon by a variable force, the amount of work done and the change in energy of the object can be more complex to calculate compared to when a constant force is applied. Work is the product of force and displacement, while energy is the capacity of a system to do work. When a constant force is applied to an object, the work done can be calculated as the product of the force and the distance moved in the direction of the force. However, when a variable force is applied, the...
5.7K
Global Climate Change01:50

Global Climate Change

28.8K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
28.8K
What is Climate?01:16

What is Climate?

20.6K
Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.
20.6K
Variability: Analysis01:11

Variability: Analysis

460
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
460
Random Variables01:09

Random Variables

17.5K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.5K
Variables Affecting Phosphorescence and Fluorescence01:26

Variables Affecting Phosphorescence and Fluorescence

1.3K
Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Climate models exaggerate greenhouse gas impact on recent interhemispheric temperature patterns and tropical climate.

Nature communications·2026
Same author

Nutrition intervention of groceries for Black residents of Boston to stop hypertension (GoFresh) among adults with or without treated hypertension trial: rationale, design, and guiding domains.

Trials·2025
Same author

More extreme Indian monsoon rainfall in El Niño summers.

Science (New York, N.Y.)·2025
Same author

Human emissions drive recent trends in North Pacific climate variations.

Nature·2025
Same author

An Africa-wide agricultural production database to support policy and satellite-based measurement systems.

Scientific data·2025
Same author

HarvestStat Africa - Harmonized Subnational Crop Statistics for Sub-Saharan Africa.

Scientific data·2025
Same journal

Spatiotemporal control of myoblast identity drives muscle diversity in the <i>Drosophila</i> leg.

Science advances·2026
Same journal

Stellar feedback drives the baryon deficiency in low-mass galaxies.

Science advances·2026
Same journal

Antiferroelectric thin films embedded with ferroelectric switching loop for giant negative electrocaloric effect.

Science advances·2026
Same journal

Tetraphosphorylated phthalocyanine-based self-assembled monolayer stabilizes perovskite photovoltaics.

Science advances·2026
Same journal

Dual-mode analysis of ischemic stroke based on urine SERS spectra and carotid B-ultrasound.

Science advances·2026
Same journal

Remote homology and functional genetics unmask deeply preserved Scm3/HJURP orthologs in metazoans.

Science advances·2026
See all related articles

Related Experiment Video

Updated: Jan 22, 2026

Measuring Crop Motility and Food Passaging in Drosophila
06:13

Measuring Crop Motility and Food Passaging in Drosophila

Published on: May 9, 2020

6.3K

Synchronous crop failures and climate-forced production variability.

W B Anderson1,2,3, R Seager1, W Baethgen2

  • 1Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.

Science Advances
|July 9, 2019
PubMed
Summary
This summary is machine-generated.

Large-scale climate patterns like the El Niño Southern Oscillation (ENSO) significantly impact global crop yields. Understanding these climate modes is crucial for predicting and mitigating widespread crop failures and ensuring food security.

More Related Videos

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.8K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

1.4K

Related Experiment Videos

Last Updated: Jan 22, 2026

Measuring Crop Motility and Food Passaging in Drosophila
06:13

Measuring Crop Motility and Food Passaging in Drosophila

Published on: May 9, 2020

6.3K
Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images
11:49

Cereal Crop Ear Counting in Field Conditions Using Zenithal RGB Images

Published on: February 2, 2019

9.8K
Using Generative Art to Convey Past and Future Climate Transitions
06:10

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

1.4K

Area of Science:

  • Climate Science
  • Agricultural Science
  • Food Security

Background:

  • Large-scale climate variability can cause significant crop yield anomalies.
  • These anomalies pose a considerable risk to global food security.
  • Quantifying the impact of climate modes on crop production is essential.

Purpose of the Study:

  • To quantify the contribution of major climate variability modes to crop production variance.
  • To assess the role of these modes in global aggregated production of maize, soybean, and wheat.
  • To identify the potential for predicting simultaneous crop failures.

Main Methods:

  • Statistical analysis of climate variability modes (ENSO, IOD, TAV, NAO) and crop production data.
  • Calculation of the percentage of variance in global maize, soybean, and wheat production attributable to these climate modes.
  • Identification of regions where specific climate modes are significant drivers of crop anomalies.

Main Results:

  • El Niño Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), Tropical Atlantic Variability (TAV), and North Atlantic Oscillation (NAO) together explain 18% of global maize, 7% of soybean, and 6% of wheat production variability.
  • Offsetting climate-forced anomalies reduce the global impact on soybean and wheat production.
  • ENSO was responsible for the largest recorded synchronous crop failure in 1983, highlighting its unique potential for global impact.

Conclusions:

  • Major climate variability modes significantly influence global crop production, with ENSO being a key driver.
  • Understanding these climate-agriculture interactions is vital for food security.
  • The findings provide a foundation for monitoring and predicting simultaneous crop failures.