Climate change is a critical global challenge with far-reaching consequences across various sectors.
Shifts in temperature and precipitation patterns alter the geographic range and behavior of pests, allowing them to thrive in new areas and impacting agricultural systems. These changes can lead to increased pest populations, crop damage, and challenges to food security.
Recognizing the connection between climate change and shifts in pest species distribution is crucial for developing adaptive strategies in agriculture, protecting ecosystems, and ensuring sustainable food production in the face of this evolving environmental challenge.
The fall armyworm is a Lepidopteran pest that feeds on the majority of crop species. It has been estimated that this pest can be responsible for up to 94% reduction in crop yield.
Tropical and sub-tropical regions of the Americas.
This range includes the United States to Argentina.
Starting in 2016, it has spread across the globe and is currently found in Africa, India, Southeast Asia, China, Australia and New Zealand to name a but few places.
This insect has four stages:
During the larval stages these insects can inflict devastating crop losses through feeding on the foliage or fruits of a variety of crop species.
Adults are strong fliers and can disperse over long distances, especially during hotter periods of the year.
This species is of economic importance around the world as it can be devastating in a variety of crops, threatening access to food and sustainability.
Known hosts of the species list around 350 types of plants. These plants include a variety of major crops like maize, sorghum, cereals and rice.
With the potential to spread further and lay more viable eggs in areas where the environment can support growth, this threat will continue to increase.
For the purposes of this project, only three scenarios were considered. The best scenario (SSP126) was left out as it considers zero emissions from the projection date, which is unrealistic.
The project was divided into four large parts: data collection, modelling and analysis and visualization. For more on each of these steps, follow the links below.
For more information on the data used in this project, where it came from, how it was cleaned and prepared, follow the link below.
Learn MoreExplanations on the modelling and model choices are given on a dedicated page. This includes the criteria for model choices, PCA and more.
Learn MoreAll data needs to be interpreted to be understood fully. Maps with potential spread under all future climate scenarios were created.
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