Vegetation total primary productivity inversion method and system based on chlorophyll fluorescence

Abstract

The invention discloses a vegetation total primary productivity inversion method and system based on chlorophyll fluorescence. The method comprises the following steps: A, performing inversion through an SCOPE model to obtain a relationship among fluorescence emission efficiency, a chlorophyll function reaction center opening ratio and a continuous heat dissipation rate; B, analyzing SCOPE model parameters by adopting global sensitivity analysis (GSA), and selecting decisive parameters as classification parameters of plant functional PFTs; C, acquiring ground monitoring data, chlorophyll fluorescence data, surface reflectance data and temperature data of the research area, and respectively calculating a temperature stress factor and a water stress factor; and D, constructing a chlorophyll fluorescence inversion GPP model and calculating the vegetation total primary productivity GPP. According to the method, the fluorescence emission efficiency LUEf is obtained through inversion of the SCOPE model, then the temperature stress factor and the water stress factor are obtained in combination with various data, then the chlorophyll fluorescence inversion GPP model is obtained through training, and the vegetation total primary productivity GPP is obtained through inversion.

Description

technical field [0001] The invention relates to the field of solid source of vegetation ecosystem, in particular to a method and system for retrieving total primary productivity of vegetation based on chlorophyll fluorescence. Background technique [0002] Human activities on the earth, such as fuel combustion emissions, man-made changes to the land surface, and deforestation, will lead to a significant increase in the level of carbon dioxide in the atmosphere. Because photosynthesis plays a moderating role, and carbon sources and carbon sinks are considered, the content of carbon dioxide can be effectively reduced; therefore, a comprehensive analysis of terrestrial gross primary productivity (GPP) and the interaction process with ecosystems is crucial for us to formulate strategies to deal with global climate change. Decisions matter. Terrestrial gross primary productivity (GPP) means that land surface plants absorb solar energy per unit time and use CO 2 and water, the t...

AI Technical Summary

Problems solved by technology

Due to the high cost and time required for the deployment of the FLUXNET flux site monitoring network, it is difficult to obtain the GPP data of the large-scale vegetation in history, which greatly limits the research on the greenhouse effect and climate change, and the ecosystem terrestrial carbon There are still relatively few studies on circulation, and it is difficult to say whether the formulation of standards for carbon emissions trading mechanisms is too loose in the current carbon trading market advocated on a large scale, nor can it support the formulation of policies and standards related to climate change in China

At the same time, the measurement standards of carbon emissions in various industries and regions are not uniform, which makes the measurement of climate change have these defects in the temporal and spatial distribution, resulting in the inability to well support the needs of China's carbon cycle environmental management

Images