The invention relates to the technical field of geological monitoring, in particular to a
microorganism prediction method for monitoring, preventing and treating
karst rocky desertification. Comprising the following steps: S1, respectively collecting land soil samples in a
karst region and a non-
karst region, and determining soil physicochemical properties including
soil pH, soil
total nitrogen,
soil nitrate nitrogen, soil available
phosphorus, soil total
potassium, soil available
potassium, soil exchangeable
calcium, soil
exchangeable sodium, soil
chloride ion content and soil organic carbon; s2, the stony
desertification succession process is analyzed through the
vegetation coverage degree of the karst region, the correlation between the stony
desertification succession process and the soil physicochemical properties is calculated, and the difference statistics of the soil physicochemical properties is obtained according to the correlation; s3, respectively extracting total
DNA of the soil samples in each region, and analyzing to obtain composition characteristics of florae in the soil samples; s4, quantifying
flora richness change through a specific measurement
algorithm, and evaluating the stability of the microflora by adopting a parameter dispersion method; s5, taking
bacteria and fungal species in the
rocky desertification succession soil
microbiome in the karst region and relative abundance in each corresponding sample as data, establishing an attribute
feature set, and determining new biological indicator information based on an attribute
data set; and S6, establishing a
microorganism prediction model of
karst rocky desertification monitoring control work.