Related Experiment Video
Updated: Aug 15, 2025

15:30
A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions
Published on: August 5, 2020
11.7K
Crop Yield Loss Risk Is Modulated by Anthropogenic Factors.
Pekka Kinnunen1,2, Matias Heino1, Vilma Sandström1
1Water and Development Research Group Aalto University Espoo Finland.
Summary
Global crop yield variation is linked to adaptive capacity measures. Anthropogenic factors explain significant yield loss risk, but less so during extreme weather shocks, highlighting areas for targeted food security adaptations.
Area of Science:
- Agricultural Science
- Climate Change Adaptation
- Global Food Security
Background:
- Extreme weather events cause significant crop yield variation, impacting global food production and creating system vulnerabilities.
- Understanding the link between adaptive capacity and crop yield variability is crucial for mitigating these shocks.
- Existing research is predominantly local-scale, lacking a comprehensive global assessment.
Purpose of the Study:
- To conduct a global assessment of crop yield variation for wheat, maize, soybean, and rice from 1981-2009.
- To evaluate the explanatory power of anthropogenic factors (adaptive capacity measures) on yield variation.
- To identify how these factors influence yield loss risk and performance during climate shock years.
Main Methods:
- Assessed crop yield variation using yield loss risk and changes during dry/hot shock years.
- Employed the XGBoost machine learning algorithm for analysis.
- Utilized gridded indicators of anthropogenic factors (HDI, irrigation, fertilizer use) at 0.5° resolution within climatically similar regions.
Main Results:
- Anthropogenic factors explained 40%-60% of yield loss risk variation globally over the study period.
- Explanatory power of these factors was lower (5%-20%) during extreme shock years.
- Factors explained a high proportion of yield loss risk variation (up to 80%) on continental scales, particularly in Europe and Africa.
Conclusions:
- Anthropogenic factors play a significant role in explaining global crop yield variation, though their influence diminishes during extreme climate shocks.
- Global-scale assessment provides critical knowledge for targeting adaptation strategies to enhance food security.
- Findings support the development of region-specific adaptation measures to build resilience in the global food system.
Related Concept Videos
What is Climate?
18.8K
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.
18.8K
Adaptations that Reduce Water Loss
25.9K
Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
25.9K
Responses to Drought and Flooding
10.8K
Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
10.8K
Threats to Biodiversity
22.6K
There have been five major extinction events throughout geological history, resulting in the elimination of biodiversity, followed by a rebound of species that adapted to the new conditions. In the current geological epoch, the Holocene, there is a sixth extinction event in progress. This mass extinction has been attributed to human activities and is thus provisionally called the Anthropocene. In 2019 the human population reached 7.7 billion people and is projected to comprise 10 billion by...
22.6K
Plant Breeding and Biotechnology
19.6K
Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.
19.6K
Multiple Regression
3.1K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.1K

