Method for measuring dynamic response of second productivity of alpine grassland under snow disaster load

Abstract

The invention provides a method for measuring dynamic response of second productivity of alpine grassland under snow disaster load. Components influencing the second productivity of the alpine grassland are decomposed into four functional modules, namely snow disaster load capacity, grassland ecosystem function maintenance capacity, snow disaster prevention and control capacity and animal productproductivity. The interaction between the components and states of the four modules restricts the size and level of the second sexual production capacity of the alpine grassland. Under the stress andload effects of snow disasters, the second productivity supporting system of the alpine grassland ecosystem can generate corresponding displacement, the larger the snow disaster load force is, the larger the displacement of the system is, and the smaller the second productivity of the grassland is. According to the method, the snow disaster load-displacement response logic relationship is described, the grassland second productivity is described according to the reciprocal of system displacement, and the scientificity, objectivity and accuracy of quantitatively expressing the grassland secondproductivity are improved.

Description

technical field [0001] The invention relates to the technical field of ecological environment, in particular to a method for measuring the dynamic response of secondary productivity of alpine grassland under snow disaster load. Background technique [0002] The primary productivity of grassland appears in the form of resources, which is the basis for the economic benefits of grassland and the improvement of human well-being. Grassland secondary productivity refers to the ability of grassland resources to produce livestock products per unit area within a certain period of time, reflecting the ultimate goal of grassland production serving human well-being. Only the indicators of livestock products produced by grassland can truly reflect the production capacity of grassland. In view of the dependence of grassland secondary productivity on grassland resources and natural environment, it is restricted by many natural and social factors, and most of these constraints show very com...

AI Technical Summary

Problems solved by technology

[0006]Although scholars at home and abroad have carried out relatively extensive research on the secondary productivity of grasslands, they have achieved three major goals: accounting standards for grassland secondary productivity, grazing effects, and system simulation. However, there are still many gaps in cognition and shortcomings in theory and practice in terms of the exploration of the connotations of driving factors, dynamic changes, and structural laws of the secondary productivity of the alpine grassland ecosystem.

At present, the model simulation research method of grassland secondary productivity is still in the exploratory stage. System dynamics is a common quantitative method in the past. This method takes into account the positive and negative feedback loops between resources and products, and emphasizes the principle of grass-livestock balance. It reflects the close connection between grassland resources and livestock product output. However, as an alpine grassland ecosystem restricted by special environment, the permafrost environment that affects the water and heat balance of the alpine grassland ecosystem is changing, and the primary productivity of grassland is extremely sensitive to climate change. , the number of natural disasters, mainly snow disasters, has increased and the damage has intensified. Undoubtedly, it will lose objectivity and deviate from the actual service function of the grassland ecosystem in cold regions, and the micro- and macro-dynamic models of grassland secondary productivity based on system dynamics are difficult to clearly characterize the structure of grassland secondary productivity Dynamic response relationship and structural interaction relationship of elements

There have been studies on the factors affecting the secondary productivity of alpine grasslands, and the important roles of permafrost, snow disasters, and human intervention in disasters have not been fully considered.

Although the classified accounting of grassland secondary productivity improves the accuracy of the output form of grassland final livestock products, it is difficult to answer the antecedent-consequence relationship between external load pressure and productivity response of grassland ecosystem, and it cannot analyze grassland ecology. The roles and interrelationships among different components, links and forces in the closely related climate-resource-yield system

Images