Method for quickly measuring grassland productivity

Abstract

The invention relates to a method for quickly measuring grassland productivity. The method comprises the following steps of: (1) selecting fixed quadrats, namely arranging 10 fixed quadrats on sample land capable of representing natural grassland vegetation characteristics or on southern and northern slopes according to upper, middle and lower slope directions; after forage grasses turn green, dotting the forage grasses by a GPS (global position system), arranging the fixed quadrats, and making a remarkable mark for each quadrat by angle iron or a wood stick; (2) monitoring the grassland productivity, namely firstly estimating dry green part weight, dry standing dead matter weight and dry litter weight of all forage grasses in the fixed quadrats, secondly estimating a cover degree, thirdly sorting the dry weights in the fixed quadrats, fourthly measuring actual biomasses, namely measuring random quadrats to obtain actual measurement values of the dry litter weight, the dry green part weight and the dry standing dead matter weight respectively, and fifthly building a regression model and correcting according to a fitting degree R2 until R2 is more than 0.8. The method is quick, accurate and efficient, and can be used for achieving the purpose of continuously monitoring grassland for a long term.

Description

technical field [0001] The invention relates to the technical field of grassland production development, in particular to a method for quickly measuring grassland productivity. Background technique [0002] Grassland productivity refers to the total harvest of pastures accumulated in the growing season of a unit area of ​​grassland. Grassland productivity is an important basic data for grassland resource evaluation and grassland production development planning, and it is also the ultimate reflection of grassland resource production efficiency. Since grassland production is a complex serial production process consisting of forage-livestock-animal products, and its product forms are divided into three categories: forage, livestock, and animal products, correspondingly, there are three different representation methods for grassland productivity: forage production capacity ——grass production capacity of grassland; livestock carrying capacity——stock carrying capacity; livestock ...

AI Technical Summary

Problems solved by technology

The above methods all mow the forage grass in the sample plot, which has the following disadvantages: Since the sample plots are randomly set during each grassland monitoring, the obtained biomass results have large errors and cannot accurately reflect the actual level of grassland productivity; Since the forage grass in the quadrat is mowed every time, it is impossible to carry out continuous and long-term monitoring of the grassland; Grassland monitoring for the purpose of measuring grassland productivity is not necessary to know the detailed vegetation composition of the grassland, which is inconsistent with the research purpose; The sample area is 1m larger 2 (1m′1m), this grassland monitoring method is particularly time-consuming and laborious

[0005] While using the fixed sample method, the sample area is 0.1m 2 Monitoring the grassland productivity of natural pastures on the Qinghai-Tibet Plateau and estimating the dry matter weight of the green part, the dry matter weight of the litter and the dry matter weight of the dominant forage grass in the sample plot have not been reported in the relevant literature at home and abroad

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