干旱区生态环境知识资源中心(Arid): Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin

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DOI	10.1371/journal.pone.0235469
	Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin
	Li Hao; Shi Qingdong; Imin, Bilal; Kasim, Nijat
通讯作者	Shi, QD
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2020
卷号	15 期号:8
英文摘要	Random sampling is an important approach to field vegetation surveys. However, sampling surveys in desert areas are difficult because determining an appropriate quadrat size that represent the sparse and unevenly distributed vegetation is challenging. In this study, we present a methodology for quadrat size optimization based on low-altitude high-precision unmanned aerial vehicle (UAV) images. Using the Daliyaboyi Oasis as our study area, we simulated random sampling and analyzed the frequency distribution and variation in the fractional vegetation cover (FVC) index of the samples. Our results show that quadrats of 50 m x 50 m size are the most representative for sampling surveys in this location. The method exploits UAV technology to rapidly acquire vegetation information and overcomes the shortcomings of traditional methods that rely on labor-intensive fieldwork to collect species-area relationship (SAR) data. Our method presents two major advantages: (1) speed and efficiency stemming from the application of UAV, which also effectively overcomes the difficulties posed in vegetation surveys by the challenging desert climate and terrain; (2) the large sample size enabled by the use of a sampling simulation. Our methodology is thus highly suitable for selecting the optimal quadrat size and making accurate estimates, and can improve the efficiency and accuracy of field vegetation sampling surveys.
类型	Article
语种	英语
开放获取类型	DOAJ Gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:000566205500028
WOS关键词	KERIYA RIVER ; PLANT ; FOREST ; INDEXES ; RESIDUE ; SHRUB ; PATCH ; SHAPE ; SOIL
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/326043
作者单位	[Li Hao; Shi Qingdong; Imin, Bilal] Xinjiang Univ, Coll Resources & Environm Sci, Urumqi, Peoples R China; [Li Hao; Shi Qingdong; Imin, Bilal] Xinjiang Univ, Inst Arid Ecol & Environm, Urumqi, Peoples R China; [Li Hao; Shi Qingdong; Imin, Bilal] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi, Peoples R China; [Kasim, Nijat] Yili Normal Univ, Coll Biol & Geog Sci, Yining, Peoples R China
推荐引用方式 GB/T 7714	Li Hao,Shi Qingdong,Imin, Bilal,et al. Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin[J]. 新疆大学,2020,15(8).
APA	Li Hao,Shi Qingdong,Imin, Bilal,&Kasim, Nijat.(2020).Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin.PLOS ONE,15(8).
MLA	Li Hao,et al."Methodology for optimizing quadrat size in sparse vegetation surveys: A desert case study from the Tarim Basin".PLOS ONE 15.8(2020).