干旱区生态环境知识资源中心(Arid): Using unmanned aerial vehicles to quantify spatial patterns of Nitraria tangutorum and Reaumuria songarica shrubs under different sand burial conditions in the Jiayuguan national wetland, northwest China

Arid

DOI	10.1080/01431161.2019.1615651
	Using unmanned aerial vehicles to quantify spatial patterns of Nitraria tangutorum and Reaumuria songarica shrubs under different sand burial conditions in the Jiayuguan national wetland, northwest China
	Zhao, Lianchun 1; Wang, Jiwei 1; Zhao, Chengzhang 1; Sun, Yi 2; Jun, Wen 1
通讯作者	Zhao, Chengzhang
来源期刊	INTERNATIONAL JOURNAL OF REMOTE SENSING
ISSN	0143-1161
EISSN	1366-5901
出版年	2020
卷号	41 期号:1 页码:19-30
英文摘要	sand burial is an important environmental stress affecting the distribution of plants in desert areas. It can change the spatial patterns of the population by affecting the environmental conditions. Nitraria tangutorum and Reaumuria songarica are dominant species in desert regions, and it is important to study their spatial patterns under different sand burial conditions to clarify the adaptive strategies of xerophytes. Unmanned aerial vehicles are ideal tools for the measurement of ecological phenomena. We here used an unmanned aerial vehicle to study the spatial patterns of the two species. Results show that (1) unmanned aerial vehicles can provide high-resolution (<= 0.1 m) data and allow more efficient measurements than conventional ground-based survey methods; (2) with an increase in sand burial depth, the distribution of N. tangutorum showed aggregation, whereas R. songarica transformed from a clumped distribution at certain scales to a random distribution at all scales; and (3) the interspecific relationship between the two species changed from uncorrelated at all scales to correlated at a small scale. Our results suggest that the adaptability of N. tangutorum to a sandy environment is stronger than that of R. songarica. This may reflect the adaptive mechanism of xerophytes in desert areas.
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000470594100001
WOS关键词	DESERT PLANT-COMMUNITIES ; FORESTS ; GROWTH ; BASIN
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院西北生态环境资源研究院
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/216516
作者单位	1.Northwest Normal Univ, Res Ctr Wetland Resources Protect & Ind Dev Engn, Coll Geog & Environm Sci, Lanzhou 730070, Gansu, Peoples R China; 2.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Lianchun,Wang, Jiwei,Zhao, Chengzhang,et al. Using unmanned aerial vehicles to quantify spatial patterns of Nitraria tangutorum and Reaumuria songarica shrubs under different sand burial conditions in the Jiayuguan national wetland, northwest China[J]. 中国科学院西北生态环境资源研究院,2020,41(1):19-30.
APA	Zhao, Lianchun,Wang, Jiwei,Zhao, Chengzhang,Sun, Yi,&Jun, Wen.(2020).Using unmanned aerial vehicles to quantify spatial patterns of Nitraria tangutorum and Reaumuria songarica shrubs under different sand burial conditions in the Jiayuguan national wetland, northwest China.INTERNATIONAL JOURNAL OF REMOTE SENSING,41(1),19-30.
MLA	Zhao, Lianchun,et al."Using unmanned aerial vehicles to quantify spatial patterns of Nitraria tangutorum and Reaumuria songarica shrubs under different sand burial conditions in the Jiayuguan national wetland, northwest China".INTERNATIONAL JOURNAL OF REMOTE SENSING 41.1(2020):19-30.