The invention belongs to the technical field of forest
carbon sink management, and discloses a forest
carbon sink spatio-temporal
dynamic monitoring method based on multi-
source data fusion, comprising the following steps: acquiring multi-
source data associated with
carbon sink spatio-temporal
dynamic monitoring in the southeast of Tibetan, and preprocessing the multi-
source data; constructing a carbon sink
estimation model; constructing a
coupling influence model based on the multi-factor influence factors; and based on an influence
mechanism analysis result, a natural driving path and a manual driving path are distinguished, a dominant driving mechanism is defined, and a targeted improvement strategy is formulated in combination with the characteristics of the southeast Tibetan forest
ecosystem. By adopting the method, the time-space
dynamic data of the structure and the
carbon sequestration function of the southeast Tibetan forest
ecosystem are accurately obtained; the
coupling influence mechanism of biological factors, environmental factors and human factors on the
carbon sequestration function of the southeast Tibetan forest is systematically analyzed; a dominant path and an interaction mechanism for natural and human factors to drive the carbon sink change of the southeast Tibetan forest are defined, and
technical support is provided for regional forest ecological
system protection and carbon sink management.