中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Applying a high-precision tracking system to distinguish the spatiotemporal patterns of animal movement in grassland ecology

文献类型:期刊论文

作者Li, Wenhuai2; Bakker, Jonathan D.; Li, Yanlong2; Zheng, Shuxia4; Li, Frank Yonghong2
刊名BIOLOGICAL CONSERVATION
出版日期2021
卷号255
关键词Ultra-wideband technology Selective grazing Livestock distribution Spatial scale Grassland management
ISSN号0006-3207
DOI10.1016/j.biocon.2021.109016
文献子类Article
英文摘要Spatial heterogeneity in vegetation may derive from variation in animal movement patterns, but these patterns have been difficult to study at the fine spatial and temporal resolutions necessary to relate them to small-scale vegetation patterns. Here, we demonstrated the utility of Ultra-WideBand (UWB) technology to examine animal movement patterns. We evaluated UWB performance in a field setting and illustrated how these data could distinguish movement patterns of different types of livestock during day and night. The data were of high spatial resolution (within 9.7 cm +/- 1.7 cm of actual locations) and high temporal resolution (every second). The positional data clearly demonstrated differential movement patterns between a cow and ewe and between daytime and nighttime. Furthermore, patterns were spatially heterogeneous: the cow spent up to 5% of the day in a single 1 m(2) square and the ewe up to 7.6% of the day in a single square. Over the course of one day, the cow visited about two-thirds of the plot whereas the ewe visited about half of the plot. Our study suggests that UWB technology is a practical tool to describe animal movement at fine spatial and temporal scales. We note some limitations of this technology (battery life, receiver range, and cost) and end by identifying some opportunities for it to improve ecology and conservation, particularly when combined with other data or technologies such as high-resolution vegetation mapping.
学科主题Biodiversity Conservation ; Ecology ; Environmental Sciences
出版地OXFORD
电子版国际标准刊号1873-2917
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
语种英语
WOS记录号WOS:000632912900005
出版者ELSEVIER SCI LTD
资助机构Inner Mongolia University [12000-15031907] ; Ministry of Science and Technology of the People's Republic of China [2015BAC02B04] ; National Natural Science Foundation of China [32071883, 41671046] ; Inner Mongolia Autonomous Region Department of Science and Technology [201601059]
源URL[http://ir.ibcas.ac.cn/handle/2S10CLM1/26773]  
专题植被与环境变化国家重点实验室
作者单位1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
2.Inner Mongolia Univ, Sch Ecol & Environm, Minist Educ, Key Lab Ecol & Resource Use Mongolian Plateau, Hohhot 010021, Peoples R China
3.Inner Mongolia Univ, Sch Ecol & Environm, Inner Mongolia Key Lab Grassland Ecol, Hohhot 010021, Peoples R China
4.Bakker, Jonathan D.] Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA
推荐引用方式
GB/T 7714
Li, Wenhuai,Bakker, Jonathan D.,Li, Yanlong,et al. Applying a high-precision tracking system to distinguish the spatiotemporal patterns of animal movement in grassland ecology[J]. BIOLOGICAL CONSERVATION,2021,255.
APA Li, Wenhuai,Bakker, Jonathan D.,Li, Yanlong,Zheng, Shuxia,&Li, Frank Yonghong.(2021).Applying a high-precision tracking system to distinguish the spatiotemporal patterns of animal movement in grassland ecology.BIOLOGICAL CONSERVATION,255.
MLA Li, Wenhuai,et al."Applying a high-precision tracking system to distinguish the spatiotemporal patterns of animal movement in grassland ecology".BIOLOGICAL CONSERVATION 255(2021).

入库方式: OAI收割

来源:植物研究所

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