Potential short-term earthquake forecasting by farm-animal monitoring

@article{Wikelski2020PotentialSE,
  title={Potential short-term earthquake forecasting by farm-animal monitoring},
  author={Martin Wikelski and Uschi Mueller and Paola Scocco and Andrea Catorci and Lev V. Desinov and Mikhail Yurjevich Belyaev and Daniel A. Keim and Winfried Pohlmeier and Gerhard Fechteler and P. Martin Mai},
  journal={bioRxiv},
  year={2020}
}
Whether changes in animal behavior allow for short-term earthquake predictions has been debated for a long time. During the 2016/2017 earthquake sequence in Italy, we instrumentally observed the activity of farm animals (cows, dogs, sheep) close to the epicenter of the devastating magnitude M6.6 Norcia earthquake (Oct-Nov 2016) and over a subsequent longer observation period (Jan-Apr 2017). Relating 5304 (in 2016) and 12948 (in 2017) earthquakes with a wide magnitude range (0.4 ≤ M ≤ 6.6) to… Expand
2 Citations
Comment on “Potential short‐term earthquake forecasting by farm animal monitoring” by Wikelski, Mueller, Scocco, Catorci, Desinov, Belyaev, Keim, Pohlmeier, Fechteler, and Mai
Earthquake forecasting is considered to be the “holy grail” in seismology. Many forecasting methods have been suggested over decades. Some of them are based on geophysical observations related to theExpand
Community/Public Approach to Earthquake Forecasting in the Era of Big Data: An On-going Endeavor in China
  • Zhongliang Wu, Yongxian Zhang
  • Surveys in Geophysics
  • 2021
Public Participation (in earthquake monitoring and forecast) and Public Preparedness (for seismic disaster risk reduction), or P4, is one of the interesting, and often underestimated approach toExpand

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