Quadrat investigation method for obtaining accurate spatial positioning data of forest community
A technology of spatial positioning and forest communities, applied in data processing applications, structured data retrieval, electronic digital data processing, etc., can solve the problems of inability to accurately obtain spatial vegetation data in forest communities, reduce subjectivity, overcome Boundary, the effect of improving data precision
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specific Embodiment approach 1
[0018] Specific implementation mode 1: This implementation mode is a sample survey method for obtaining precise spatial positioning data of forest communities, which is specifically completed according to the following steps:
[0019] 1. Layout of forest quadrats:
[0020] First, determine the total number of sample quadrats to be surveyed according to the size of the forest area in the research area. The total area of the sample quadrats accounts for 1% to 5% of the forest area in the research area, and then use stratified random sampling to carry out the layout of specific survey sample quadrats; Stratified random sampling is specifically as follows: on the basis of stratified sampling, random sampling is used for each stratum, and on the basis of stratification, the total sampling amount is allocated according to the volume of each stratum, when (maximum value - minimum value ) / 4<the mean difference of each stratum<(maximum value-minimum value) / 2, random sampling shall be...
specific Embodiment approach 2
[0027] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in step 2, the measuring rope is used to take true north as y positive axis, true south as y negative axis, true east as x positive axis, and true west as x Negative axis, take 1m as a unit length, fix two vertically intersecting measuring ropes on the ground, and divide the quadrat with an area of (10~30)m×(10~30)m into 4 (5~15)m × (5 ~ 15) m quadrant. Others are the same as the first embodiment.
specific Embodiment approach 3
[0028] Embodiment 3: The difference between this embodiment and Embodiment 1 or 2 is that in Step 2, the central point of the sample plot is taken as the reference, and the area of the sample plot is 30m×30m. Others are the same as those in Embodiment 1 or 2.
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