干旱区生态环境知识资源中心(Arid): Internet of Things to network smart devices for ecosystem monitoring

Arid

DOI	10.1016/j.scib.2019.07.004
	Internet of Things to network smart devices for ecosystem monitoring
	Li, Xin1,2 ; Zhao, Ning 3; Jin, Rui 2,3; Liu, Shaomin 4; Sun, Xiaomin 5; Wen, Xuefa 5; Wu, Dongxiu 6; Zhou, Yan 7; Guo, Jianwen 3; Chen, Shiping 6; Xu, Ziwei 4; Ma, Mingguo 8; Wang, Tianming 9,10,11; Qu, Yonghua 12; Wang, Xinwei 7; Wu, Fangming 13; Zhou, Yuke 5
通讯作者	Li, Xin
来源期刊	SCIENCE BULLETIN
ISSN	2095-9273
EISSN	2095-9281
出版年	2019
卷号	64 期号:17 页码:1234-1245
英文摘要	Smart, real-time, low-cost, and distributed ecosystem monitoring is essential for understanding and managing rapidly changing ecosystems. However, new techniques in the big data era have rarely been introduced into operational ecosystem monitoring, particularly for fragile ecosystems in remote areas. We introduce the Internet of Things (IoT) techniques to establish a prototype ecosystem monitoring system by developing innovative smart devices and using IoT technologies for ecosystem monitoring in isolated environments. The developed smart devices include four categories: large-scale and nonintrusive instruments to measure evapotranspiration and soil moisture, in situ observing systems for CO2 and delta C-13 associated with soil respiration, portable and distributed devices for monitoring vegetation variables, and Bi-CMOS cameras and pressure trigger sensors for terrestrial vertebrate monitoring. These new devices outperform conventional devices and are connected to each other via wireless communication networks. The breakthroughs in the ecosystem monitoring IoT include new data loggers and long-distance wireless sensor network technology that supports the rapid transmission of data from devices to wireless networks. The applicability of this ecosystem monitoring IoT is verified in three fragile ecosystems, including a karst rocky desertification area, the National Park for Amur Tigers, and the oasis-desert ecotone in China. By integrating these devices and technologies with an ecosystem monitoring information system, a seamless data acquisition, transmission, processing, and application IoT is created. The establishment of this ecosystem monitoring IoT will serve as a new paradigm for ecosystem monitoring and therefore provide a platform for ecosystem management and decision making in the era of big data. (C) 2019 Science China Press. Published by Elsevier B.V. and Science China Press. All rights reserved.
英文关键词	Ecosystem monitoring Fragile ecosystem Internet of Things Wireless sensor network Smart device
类型	Article
语种	英语
国家	Peoples R China
收录类别	SCI-E
WOS记录号	WOS:000487225100006
WOS关键词	WIRELESS SENSOR NETWORK ; SAP FLOW MEASUREMENT ; HEIHE RIVER-BASIN ; ENVIRONMENTAL INTERNET ; WATER ; MANAGEMENT ; OPPORTUNITIES ; SPECTROSCOPY ; CALIBRATION ; OBJECTIVES
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
来源机构	中国科学院西北生态环境资源研究院 ; 中国科学院地理科学与资源研究所 ; 北京师范大学 ; 中国科学院植物研究所 ; 中国科学院青藏高原研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218554
作者单位	1.Chinese Acad Sci, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China; 2.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China; 3.Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China; 4.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China; 6.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China; 7.Chinese Acad Sci, Inst Semicond, Optoelect Syst Lab, Beijing 100083, Peoples R China; 8.Southwest Univ, Sch Geog Sci, Minist Nat Resources, Res Base Karst Ecoenvironm Nanchuan Chongqing, Chongqing 400715, Peoples R China; 9.Beijing Normal Univ, Minist Educ, Key Lab Biodivers Sci & Engn Monitoring, Beijing 100875, Peoples R China; 10.Beijing Normal Univ, Res Ctr Amur Tigers & Amur Leopards, Natl Forestry & Grassland Adm, Beijing 100875, Peoples R China; 11.Beijing Normal Univ, Coll Life Sci, Beijing 100875, Peoples R China; 12.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China; 13.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Li, Xin,Zhao, Ning,Jin, Rui,et al. Internet of Things to network smart devices for ecosystem monitoring[J]. 中国科学院西北生态环境资源研究院, 中国科学院地理科学与资源研究所, 北京师范大学, 中国科学院植物研究所, 中国科学院青藏高原研究所,2019,64(17):1234-1245.
APA	Li, Xin.,Zhao, Ning.,Jin, Rui.,Liu, Shaomin.,Sun, Xiaomin.,...&Zhou, Yuke.(2019).Internet of Things to network smart devices for ecosystem monitoring.SCIENCE BULLETIN,64(17),1234-1245.
MLA	Li, Xin,et al."Internet of Things to network smart devices for ecosystem monitoring".SCIENCE BULLETIN 64.17(2019):1234-1245.