The relationship of typical grassland species-area based on drone and ground surveys
This study focuses on the typical grasslands of Hulunbuir City as the research subject,conducting a systematic evaluation of the differences between traditional ground quadrat surveys and unmanned aerial vehicle(UAV)surveys of grassland plant species.This was achieved by investigating and analyzing the relationship between quadrat area and the number of species within those quadrats.The study determined the minimum survey areas for both ground and UAV surveys in typical grasslands.The findings are as follows:1)The number of species in typical grasslands has a nonlinear relationship with the survey area,and the"species-area"relationship can be described by the model S=aln(bA+1),where S represents the number of species,A is the area,and a and b are constants.Using the combined sampling method,at least 8 1m2 small quadrats should be included to represent 80%of the species.Based on the nested sampling method,the minimum survey area required is 8.63m2;2)For typical grasslands,the average species discovery rate of UAV surveys was 81.7%compared to traditional ground survey methods.UAVs can serve as an auxiliary tool for ground surveys to enhance survey efficiency;3)In monitoring species within typical grasslands,one or two combined quadrats can be chosen,supplemented with 4 to 5 random shots using a UAV.This approach can identify 84.7%to 88.3%of the total number of species in typical grasslands.Compared to the traditional method of conducting 3 to 5 repeated quadrat surveys,this method offers stronger representativeness and higher work efficiency.