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Climate change and the global food supply

January 8, 2025 By EarthWise Leave a Comment

One of the most troubling aspects of global climate change is its potential to severely disrupt the production, distribution, and quality of food. While food security is already challenged by many factors, including population growth, poverty, and changing eating habits, climate change intensifies these issues by altering weather patterns, causing more frequent droughts, floods, and extreme temperatures that damage crops and reduce yields. 

These shifts not only threaten agricultural productivity and increase food prices, but they also impact water resources, pests, and disease dynamics, further destabilizing food systems and exacerbating vulnerabilities, particularly in regions already facing food insecurity.

According to a new paper, which was co-authored by 21 scientists from 9 different countries, climate change will cause widespread food shortages, leading to famine, mass migration, and global instability, unless swift action is taken to develop climate-resilient crops.

Adding to the urgency is the fact that agriculture itself also contributes approximately 30% of global greenhouse gas emissions, creating a vicious feedback loop that threatens to further accelerate global climate change.

The research, which was recently published in the journal Trends in Plant Science, outlines five key recommendations to address this crisis: Study plants in real-world conditions, strengthen partnerships with farmers, streamline regulations for faster innovation, build public trust in new technologies, and create global research initiatives that unite scientists from developed and developing nations to share resources and expertise.

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Climate Change Threatens Global Food Supply: Scientists Call for Urgent Action

Photo, posted September 21, 2014, courtesy of Peter via Flickr.

Earth Wise is a production of WAMC Northeast Public Radio

Predicting major earthquakes

October 10, 2024 By EarthWise Leave a Comment

Researchers are exploring how to predict major earthquakes

Natural disasters continue to be major threats for people, just as they always have been.  But modern technology has greatly improved our ability to prepare for and, in many cases, escape from the worst effects of these events.  A good example is hurricane forecasting.  Nowadays, there is plenty of warning when a major hurricane is headed toward a populous area.  It is still up to people to get away from the danger zone, but at least there is the opportunity to do so.

Major earthquakes are a different story.  There is generally little or no warning when one will strike.  But scientists at the University of Alaska Fairbanks and the Ludwig Maximilian University in Munich, Germany have developed a technique that may provide days or even months of warning about an impending major earthquake.

The detection method is based on machine learning and is described in a paper in the journal Nature Communications.  The researchers wrote a computer algorithm that looks for abnormal seismic activity.  Advanced statistical techniques found that approximately three months of abnormal low-magnitude regional seismicity occurred in the regions where two major earthquakes took place.  One was the magnitude 7.1 Anchorage earthquake in 2018 and the other was a similar-sized quake in Ridgecrest, California in 2019.

Considerably more testing – particularly in real-time rather than looking at historical data – is needed.  But accurate earthquake forecasting has the potential to save lives and reduce economic losses.  However, there are ethical and practical questions to answer.  False alarms could lead to unnecessary panic, economic disruption, and loss of public trust.  On the other hand, missed predictions can have catastrophic consequences.

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UAF scientist’s method could give months’ warning of major earthquakes

Photo, posted January 22, 2012, courtesy of the Climate and Ecosystems Change Adaptation Research University Network via Flickr.

Earth Wise is a production of WAMC Northeast Public Radio

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