IB-CAS  > 植被与环境变化国家重点实验室
Internet of Things to network smart devices for ecosystem monitoring
Li, Xin1; Zhao, Ning2; Jin, Rui1,2; Liu, Shaomin3; Sun, Xiaomin4; Wen, Xuefa4; Wu, Dongxiu5; Zhou, Yan6; Guo, Jianwen2; Chen, Shiping5; Xu, Ziwei3; Ma, Mingguo7; Wang, Tianming8,9,10; Qu, Yonghua11; Wang, Xinwei6; Wu, Fangming12; Zhou, Yuke4
2019
发表期刊SCIENCE BULLETIN
ISSN2095-9273
卷号64期号:17页码:1234-1245
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.
关键词Ecosystem monitoring Fragile ecosystem Internet of Things Wireless sensor network Smart device
学科领域Multidisciplinary Sciences
DOI10.1016/j.scib.2019.07.004
收录类别SCI
语种英语
WOS关键词WIRELESS SENSOR NETWORK ; SAP FLOW MEASUREMENT ; HEIHE RIVER-BASIN ; ENVIRONMENTAL INTERNET ; WATER ; MANAGEMENT ; OPPORTUNITIES ; SPECTROSCOPY ; CALIBRATION ; OBJECTIVES
WOS研究方向Science & Technology - Other Topics
WOS记录号WOS:000487225100006
出版者ELSEVIER
文献子类Article
出版地AMSTERDAM
EISSN2095-9281
资助机构National Key Research & Development Program of China [2016YFC0500106] ; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA20100104] ; 13th Five-year Informatization Plan of the Chinese Academy of Sciences [XXH13505-06]
作者邮箱xinli@itpcas.ac.cn
引用统计
被引频次:53[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/19458
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 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]. SCIENCE BULLETIN,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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
1-s2.0-S209592731930(4597KB)期刊论文出版稿开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Li, Xin]的文章
[Zhao, Ning]的文章
[Jin, Rui]的文章
百度学术
百度学术中相似的文章
[Li, Xin]的文章
[Zhao, Ning]的文章
[Jin, Rui]的文章
必应学术
必应学术中相似的文章
[Li, Xin]的文章
[Zhao, Ning]的文章
[Jin, Rui]的文章
相关权益政策
暂无数据
收藏/分享
文件名: 1-s2.0-S2095927319304013-main.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。