干旱区生态环境知识资源中心(Arid): Simulations of spatial patterns and species distributions in sandy land using unmanned aerial vehicle images

Arid

DOI	10.1016/j.jaridenv.2020.104410
	Simulations of spatial patterns and species distributions in sandy land using unmanned aerial vehicle images
	Wu, Yin; Zhang, Jing; Wang, Feng; Song, Yongyu; Ji, Jie
通讯作者	Zhang, J (corresponding author), Capital Normal Univ, Beijing Key Lab Resource Environm & Geog Informat, Beijing 100048, Peoples R China.
来源期刊	JOURNAL OF ARID ENVIRONMENTS
ISSN	0140-1963
EISSN	1095-922X
出版年	2021
卷号	186
英文摘要	The spatial distribution of vegetation in sandy lands is closely related to micro-topography. Point pattern analysis of vegetation distribution from ground surveys and satellite images is a commonly used method but does not capture the influence of spatial heterogeneity at small scales. This study examined long-term ecological observation sites of elm (Ulmus pumila) sparse forest in the Otindag Sandy Land, China. Elevation models from unmanned aerial vehicles (UAVs) and ground survey data on vegetation structure from 3768 elms were used to classify the terrain of sampled sites using a decision tree classification. It combined terrain factors, including slope, aspect, and small-scale altitude differences. Plots were divided into five topographic types: sand flat (53%), sand lowland (17%), sunny slope (13%), shady slope (10%), and sandy ridges (7%). Elm densities varied from 141.7 trees hm(-2) on shady slopes to 17.0 trees hm(-2) on sand lowland. A 2D Poisson fitting method was applied to the diameter at breast height, crown width, and other vegetation growth characteristics to simulate and verify the distribution of elms in the plots. Multivariate analysis was undertaken to confirm the effect of topographic factors on variation of tree characteristics. The integrated terrain approach could better characterize the spatial distribution of sparse forests. This research demonstrated that UAVs were a useful tool to measure spatial heterogeneity of sand micro-topography. Simulations of the distribution of plant characteristics indicated that the terrain classification matched the spatial pattern analysis of elms in semi-arid regions. Simulation of vegetation distribution is a useful technique for analyzing arid regions. This study will assist with further research on ecological restoration and vegetation protection in semi-arid areas.
英文关键词	UAV Vegetation pattern Micro-topography 2D Poisson simulation Otindag sandy land
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000611829600002
WOS关键词	STRUCTURE-FROM-MOTION ; SCALE ; CLASSIFICATION
WOS类目	Ecology ; Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347978
作者单位	[Wu, Yin; Zhang, Jing; Song, Yongyu] Capital Normal Univ, Beijing Key Lab Resource Environm & Geog Informat, Beijing 100048, Peoples R China; [Wang, Feng; Ji, Jie] Chinese Acad Forestry, Inst Desertificat Studies, Beijing 100091, Peoples R China
推荐引用方式 GB/T 7714	Wu, Yin,Zhang, Jing,Wang, Feng,et al. Simulations of spatial patterns and species distributions in sandy land using unmanned aerial vehicle images[J],2021,186.
APA	Wu, Yin,Zhang, Jing,Wang, Feng,Song, Yongyu,&Ji, Jie.(2021).Simulations of spatial patterns and species distributions in sandy land using unmanned aerial vehicle images.JOURNAL OF ARID ENVIRONMENTS,186.
MLA	Wu, Yin,et al."Simulations of spatial patterns and species distributions in sandy land using unmanned aerial vehicle images".JOURNAL OF ARID ENVIRONMENTS 186(2021).