Method for estimating plant growth biomass liveweight variation based on virtual plants

Abstract

The invention discloses a method for estimating plant growth biomass liveweight variation based on virtual plants, aiming to the defect that a linkage relationship between a vegetation structure model and a mechanism model is ignored in the current method for estimating forest biomass liveweight variation. The method for estimating the plant growth biomass liveweight variation comprises the following steps of: firstly obtaining morphology parameters and textures of simulated plants, and establishing a plant geometric model based on a plant growth rule and a parameterization L-system; simulating photosynthetically active radiation in a virtual canopy by utilizing a ray tracing method based on the plant geometric model and applying to plant biomass liveweight accumulation, and establishing a plant structure-function feedback model; feeding parameter values obtained by calculation of the functional model back to the plant structure model, carrying out plant growth and development simulation at a certain growth cycle or a plurality of growth cycles; and simulating the photosynthetically active radiation in the virtual canopy on the grown and developed plant geometric structure model again, so repeatedly, dynamically developing the radiation simulation, and finally estimating the plant growth biomass liveweight in the simulated cycle(s).

Description

technical field [0001] The invention relates to the technical field of virtual plants and global environmental changes, in particular to a method for estimating changes in plant biomass based on virtual plants. Background technique [0002] Virtual plants, that is, the application of computers to simulate the growth and development of plants in three-dimensional space, is a research field that has developed rapidly with the advancement of information technology in the past 20 years. With the increasing global warming effect, forest systems play an increasingly significant role in the global carbon cycle, and biomass is an important indicator of the carbon sequestration capacity of forest systems. At present, among the three estimation methods of forest biomass, remote sensing technology can estimate biomass quickly, non-destructively and relatively accurately, and can make long-term and uninterrupted macro observations of ecosystems, so it is the most widely used in global c...

AI Technical Summary

Problems solved by technology

[0007] In view of the defect that the existing forest biomass estimation method ignores the linkage relationship between the vegetation structure model and the mechanism model, the purpose of the present invention is to provide a method for estimating the change of plant growth biomass based on virtual plants

Images