Cheng Lei, Professor of Zhejiang University: Deep soil has a lag effect on the response to climate change.

Recently, Professor Cheng Lei of Zhejiang University's School of Life Sciences put forward the idea that deep soil has a lag effect on climate change response.
the results, in the form of a technical review, were published on February 23rd in the international academic journal Science.
climate and soil, a "day" and a "ground", the link between the two involves a very important scientific issue - the global carbon cycle.
In terrestrial ecosystems, global soil organic carbon is the largest active carbon reservoir in the Earth's system, with three to four times the carbon reserves of the atmosphere.
whether the soil is a "slower" for warming has been debated in the scientific community.
many scientists believe that clarifying the microbial mechanisms of organic carbon decomposition in soils (especially whole soils) under climate change is of great scientific importance for more accurate predictions of future atmospheric carbon dioxide concentrations and climate change, and how humans are coping with global climate change.
Zhejiang Chenglei Laboratory published a cover article in Science, the deep soil CO2 production of the response to climate change theoretical basis and theoretical analysis is still worth further exploration.
laboratory studies show that because the global climate system is in dynamic changes, and affected by soil heat conductivity and soil thickness, the temperature change of the bottom soil has a lag effect relative to the surface soil. the
Q10 value is the physical amount that reflects the temperature sensitivity of soil microbial respiration, which is defined as a multiple of the increase in soil microbial respiration for every increase in temperature of 10 degrees C. the value of
Q10 is a very important parameter in various ecological models that predict climate change.
laboratory put forward in the study to improve the calculation method of Q10, and proposed that the temperature sensitivity generated by carbon dioxide from deep soil is calculated and analyzed by a generalized linear model, thus solving the problem of temperature sensitivity calculation which deviates greatly from the theoretical value due to the variation of experimental observation data.
lab researchers say this will help to more accurately reveal the intensity of deep soil responses to climate change, and is important for climate change models to take deep soil into account to predict future climate change.
Source: Science Daily.