The first system in the world predicts global lake warming, A groundbraking study will enable scientists to better predict lake global warming in the future due to climate change and potential threats to cold water species such as salmon and trout.
The researchers developed the world’s first lake classification system, each of which is divided into one of nine “thermal regions”.
Lakes are grouped according to their seasonal surface water temperature patterns, with the coldest thermal regions consisting of lakes in Alaska, Canada, North Russia and China, and the hottest lakes in equatorial South America, Africa, India and Southeast Asia. The first system in the world predicts global lake warming.
By combining climate models, scientists estimate that by 2100 for the most extreme scenario of climate change, the average sea temperature will be around 4 degrees Celsius warmer and that 66 percent of the world’s lakes will be classified in a warmer thermal range than they are now. .
UKCEH Professor Stephen Maberly, lead author of the study, explained: “Thanks to a sophisticated analysis with satellite images of more than 700 lakes, taken twice a month for 16 years, we created the first global maritime classification scheme. The first system in the world predicts global lake warming.
In combination with lake models and climate change scenarios, we can determine that northern lakes such as in the United Kingdom are very sensitive to climate change.
Even relatively small temperature changes can have a significant adverse effect on aquatic wildlife, as well as the growth rate of organisms and food, and when they multiply.
Because species do not react the same way, prey and predators have increasingly different breeding and feeding cycles, reducing the amount of food that is potentially available.
This study is intended for scientists interested in freshwater ecology, climate change, greenhouse gas emissions and biogeochemical cycles.
This not only provides new ideas about the effects of climate change, but also various evidence to better manage the environment that is sensitive to this environment and reduce the impact of change.