Modeling Tree Masting to Predict Ecosystem, Climate Impact
Modeling Tree Masting
Tags: Hokkaido University, Japan, Science & Exploration, Computing Technology
Researchers at Hokkaido University and the National Institute for Environmental Studies developed theoretical models to better understand tree masting, the synchronized mass production of seeds and fruits in trees. The models, validated by real-world data from Japanese oak forests, help predict how masting affects tree mortality and animal populations, with potential applications in managing ecosystems and studying the effects of climate change on forests. Masting impacts food availability for wildlife, pest outbreaks, and even human health by influencing disease vectors like Lyme disease. The models can be adapted for other species globally, making them valuable for ecological predictions and climate change mitigation.
IP Type or Form Factor: Discovery & Research; Software & Algorithm
TRL: 4 - minimum viable product built in lab
Industry or Tech Area: Earth Sciences; Big Data Analytics & Simulations
