Method for continuous multi-year sampling and measuring of perennial artificial grassland biomass
A technology of grassland organisms and measurement methods, applied to measuring devices, testing plants/trees, instruments, etc., can solve problems such as unreasonable, increased costs, and inaccurate measurement of ground productivity
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Embodiment 1
[0020] Principle and feature of the present invention are described below in conjunction with accompanying drawing and root system of perennial artificial grassland and above-ground sampling, and given example is only for explaining the present invention, is not intended to limit the scope of the present invention.
[0021] The present embodiment test area is located in Huangyang Town, Wuwei City, Gansu Province (102 ° 48 'N, 37 ° 42 'E, and the altitude is 1710 meters). With large evaporation and large temperature difference between day and night, it is a cold temperate and arid climate zone. According to the statistics of the meteorological station for 30 years (1996-2016), the average sunshine hours in this area are 2945 hours, the average annual temperature is 7.5°C, the frost-free period is 155 days, and the effective accumulated temperatures of ≥0°C and ≥10°C are 3646°C and 3149°C respectively. ℃. The average annual rainfall is 164 mm, mainly concentrated in June to Sep...
Embodiment 2
[0033] attached figure 2 It is a schematic diagram of the method of measuring aboveground productivity under the condition of taking root samples of perennial artificial grassland by random sampling method. The defects of random sampling method in measuring aboveground productivity under the condition of taking root samples of perennial artificial grassland are as follows: First, the random sampling method may make the sample plots Throwing it in the place where the root sample was taken, which caused a large error in the measured aboveground productivity, and could not accurately reflect the aboveground productivity in the planting area; second, when using the random sampling method, it may cause some areas of the two sample plots The phenomenon of overlap; thirdly, random sampling may be thrown in the border effect area of the planting area, and the productivity in the border effect area is usually poor, so the aboveground productivity measured by the random sampling metho...
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