The invention discloses a
cunninghamia lanceolata forest soil
plant silicon body
carbon sink potential
estimation method, and relates to the field of
data analysis, and the method comprises the steps: selecting a sampling
land based on a
cunninghamia lanceolata forest distribution region,
a site condition type and stand development integrity, and dividing the sampling land into an initial stage forest, a middle stage forest, a
mature stage forest and a special regeneration forest according to stand development stages, selecting grids in the
sample plot based on three-dimensional grid division and random sampling so as to collect soil samples of soil
layers with different depths; through the design of
sample plot selection and three-dimensional grid sampling, the representativeness and uniformity of soil
sample collection are improved, the accuracy of detection indexes is ensured through standard pretreatment and an efficient
plant silicon body extraction technology, meanwhile, core driving factors are analyzed and identified in combination with multi-dimensional
coupling, and the accuracy of the detection indexes is improved. Forest stand development and environmental factors are integrated into the constructed dynamic correlation model, and the
carbon sink scale of each stage can be accurately deduced.