\u00a9 shutterstock\/J.J. Gouin<\/figcaption><\/figure>\nComparing climate data in Brazil<\/h3>\n The researchers used a statistical method that correlated historical climate data from Brazil with metrics such as crop productivity, farm revenue, and agricultural loan performance.<\/p>\n
By integrating this information with climate simulations, they forecasted future weather patterns and assessed their implications on agriculture and financial institutions.<\/p>\n
\u201cA difficulty in studying climate impacts on agriculture is that there are all sorts of adaptations happening all the time that aren\u2019t easily observed, but are really important for understanding vulnerability and how risk is changing,\u201d said co-author Jennifer Burney, professor of environmental science at UC San Diego\u2019s School of Global Policy and Strategy and Scripps Institution of Oceanography.<\/p>\n
\u201cWe were able to distinguish signals from different types of climate impacts and which ones led to this larger financial risk.\u201d<\/p>\n
Building global resilience against climate change<\/h3>\n A key aim of the team is to support food production under climate change. This requires an understanding of when small climate shifts might have outsized impacts, affecting other sectors through trade and banking.<\/p>\n
Understanding the risk posed by climate change is helpful for policymakers as climate change has increasingly become a national security threat.<\/p>\n
To that end, the statistical approach developed in the study could be applied worldwide.<\/p>\n
\u201cThe technique we developed will help populations identify where they are most vulnerable, how climate change will hurt them the most economically and what institutions they should focus on to build resilience,\u201d said study co-author Craig McIntosh, professor of economics at the School of Global Policy and Strategy.<\/p>\n
Development of the loss and damage fund established by the UN<\/h3>\n The work could help with the development of the loss and damage fund established in 2022. The fund is designed to help compensate developing nations that have contributed the least to the climate crisis but have faced the brunt of the effects of climate change.<\/p>\n
\u201cOur technique could help countries think about where the resilience returns would be highest for the money spent,\u201d concluded Krislert Samphantharak, professor of economics at the School of Global Policy and Strategy.<\/p>\n
\u201cThis technique also helps to identify where international reinsurance might be needed.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"
Researchers from the University of California, San Diego School of Global Policy and Strategy have developed a new method for predicting the financial impacts climate change will have on food production.<\/p>\n","protected":false},"author":18,"featured_media":46127,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[24433],"tags":[689,24542],"acf":[],"yoast_head":"\n
How will climate change impact food production?<\/title>\n \n \n \n \n \n \n \n \n \n \n \n \n\t \n\t \n\t \n \n \n \n \n \n\t \n\t \n\t \n