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基于无人机和地面调查的典型草原"种-面积"关系

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本研究以呼伦贝尔市典型草原为研究对象,通过传统地面样方调查和无人机调查,系统研究了"种-面积"关系,确定了典型草原地面与无人机调查的最小调查面积.调查结果表明:1)典型草原的物种数量与调查面积呈非线性关系,"种-面积"关系呈现为 S=aln(bA+1).基于组合样方法,至少要包括8 个 1m2小样方,才能达到涵盖 80%物种的目标,基于巢式样法,需要的最小调查面积为 8.63m2;2)针对典型草原,无人机调查的平均物种发现率为传统地面调查方法的81.7%,无人机可作为地面调查的辅助手段,提高调查的效率;3)在典型草原物种监测中,可选取1个或2个组合样方,并使用无人机进行4~5次随机拍摄作为补充,此时可发现典型草原物种总数的84.7%~88.3%.该方法相对传统的3~5次重复样方调查,代表性更高,调查效率更高.
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.

species-area relationshipunmanned aerial vehicleground surveytypical grassland

朱萨宁、高吉喜、万华伟、尤春赫、杨雪、郭雨桐、祝晨佳、吕娜

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中国环境科学研究院生态研究所,北京 100012

生态环境部卫星环境应用中心,北京 100094

北京林业大学草业与草原学院,北京 100091

"种-面积"关系 无人机 地面调查 典型草原

国家自然科学基金资助项目

2021YFB3901102

2024

中国环境科学
中国环境科学学会

中国环境科学

CSTPCDCHSSCD北大核心
影响因子:2.174
ISSN:1000-6923
年,卷(期):2024.44(9)