The application provides a quantitative
recovery method of paleoclimate based on
spore and
pollen data, which comprises the following steps: step 1, establishing a basic
database of paleo-
pollen; step 2, establishing a comprehensive
database of ecological and climatic conditions of paleo-
pollen; step 3, reconstructing a paleoclimate
distribution model tending to normal distribution; step 4, checking the distribution shape of the average distribution
data model; step 5, normalizing the
data model; and step 6, recovering the characteristics of the paleoclimate conditions. The quantitative
recovery method of paleoclimate based on
spore and pollen data has strong adaptability and expandability, can be combined with the discrimination of the source of the early
spore and pollen, adjust the scale of the
confidence interval based on the proportion of the original and external spore and pollen, and further eliminate the interference of the external spore and pollen with different degrees on the
recovery of the paleoclimate. The method has clear and clear principles, quantifies the recovery of the paleoclimate, and has high accuracy and
operability.