Spatial pattern of pika holes and their effects on vegetation coverage on the Tibetan Plateau: An analysis using unmanned aerial vehicle imagery

doi:10.1016/j.ecolind.2019.105551

	Spatial pattern of pika holes and their effects on vegetation coverage on the Tibetan Plateau: An analysis using unmanned aerial vehicle imagery
	Tang, Ze 2,4; Zhang, Yangjian 2,3,4; Cong, Nan 2; Wimberly, Michael 5; Wang, Li 1; Huang, Ke 2; Li, Junxiang 1; Zu, Jiaxing 2,4; Zhu, Yixuan 2,4; Chen, Ning 2,4
刊名	ECOLOGICAL INDICATORS
	2019-12-01
卷号	107 页码:8
关键词	Pika hole Vegetation coverage Northern Tibet UAV images Object-oriented classification
ISSN号	1470-160X
DOI	10.1016/j.ecolind.2019.105551
通讯作者	Zhang, Yangjian(zhangyj@igsnrr.ac.cn)
英文摘要	The pika (Ochotona curzoniae) hole is an important landscape feature in the Tibetan Plateau (TP) grasslands, and it indicates grassland degradation levels due to the destruction caused by pika burrowing activities on grasslands. However, no studies have ever explored landscape patterns of pika holes and their effects on adjacent vegetation coverage. Taking meadow grasslands in Northern Tibet as an example, this study gathered unmanned aerial vehicle (UAV) images and explored landscape patterns of pika holes and their effects on grass coverage in the surroundings. The performances of two classification methods, including the decision tree classification based on Fully Constrained Least Squares (FDC) and the object-oriented classification (OBC) were compared in recognizing sizes and shapes of pika holes. The results showed that: (1) The object-oriented classification exhibits higher classification accuracy in identifying pika holes. (2) The average size of pika holes in the study area is 0.01 m(2) and they exhibit clustered distribution patterns. The average distance between any two nearest pika hole patches is 0.79 m. (3) It presents a significant quadratic relationship between the number of pika holes and grass coverage. (4) The average effective distance of pika holes on the surrounding grass coverage is 20 cm. The findings of this study can provide guidelines for pika control and improve grassland management on the TP.
资助项目	Optimized Allocation System and Model of Grassland Ecology and Production in Tibetan Plateau[2016YFC0502001] ; International Partnership Program of Chinese Academy of Sciences[131C11KYSB20160061] ; National Natural Science Foundation of China[41725003]
WOS关键词	POPULATION-DYNAMICS ; IMPERVIOUS SURFACE ; ALPINE GRASSLAND ; FOREST ; SOIL ; CLASSIFICATION ; SEGMENTATION ; DISTURBANCE ; MANAGEMENT ; ACCURACY
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000490757500015
资助机构	Optimized Allocation System and Model of Grassland Ecology and Production in Tibetan Plateau ; International Partnership Program of Chinese Academy of Sciences ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/129840]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Yangjian
作者单位	1.Peking Univ, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 5.Univ Oklahoma, Sch Geog & Environm Sustainabil, Oklahoma City, OK 73019 USA
推荐引用方式 GB/T 7714	Tang, Ze,Zhang, Yangjian,Cong, Nan,et al. Spatial pattern of pika holes and their effects on vegetation coverage on the Tibetan Plateau: An analysis using unmanned aerial vehicle imagery[J]. ECOLOGICAL INDICATORS,2019,107:8.
APA	Tang, Ze.,Zhang, Yangjian.,Cong, Nan.,Wimberly, Michael.,Wang, Li.,...&Chen, Ning.(2019).Spatial pattern of pika holes and their effects on vegetation coverage on the Tibetan Plateau: An analysis using unmanned aerial vehicle imagery.ECOLOGICAL INDICATORS,107,8.
MLA	Tang, Ze,et al."Spatial pattern of pika holes and their effects on vegetation coverage on the Tibetan Plateau: An analysis using unmanned aerial vehicle imagery".ECOLOGICAL INDICATORS 107(2019):8.