Internet of Things to network smart devices for ecosystem monitoring
文献类型：期刊论文
| 作者 | Li, Xin1,12; Zhao, Ning13; Jin, Rui1,13; Liu, Shaomin2; Sun, Xiaomin3 ; Wen, Xuefa3; Wu, Dongxiu5; Zhou, Yan6; Guo, Jianwen13; Chen, Shiping5
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| 刊名 | SCIENCE BULLETIN
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| 出版日期 | 2019-09-15 |
| 卷号 | 64期号:17页码:1234-1245 |
| ISSN号 | 2095-9273 |
| 关键词 | Ecosystem monitoring Fragile ecosystem Internet of Things Wireless sensor network Smart device |
| DOI | 10.1016/j.scib.2019.07.004 |
| 通讯作者 | Li, Xin(xinli@itpcas.ac.cn) |
| 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. |
| WOS关键词 | WIRELESS SENSOR NETWORK ; SAP FLOW MEASUREMENT ; HEIHE RIVER-BASIN ; ENVIRONMENTAL INTERNET ; WATER ; MANAGEMENT ; OPPORTUNITIES ; SPECTROSCOPY ; CALIBRATION ; OBJECTIVES |
| 资助项目 | National Key Research & Development Program of China[2016YFC0500106] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20100104] ; 13th Five-year Informatization Plan of the Chinese Academy of Sciences[XXH13505-06] |
| WOS研究方向 | Science & Technology - Other Topics |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000487225100006 |
| 资助机构 | National Key Research & Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; 13th Five-year Informatization Plan of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/69579]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Xin |
| 作者单位 | 1.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 2.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 4.Southwest Univ, Sch Geog Sci, Minist Nat Resources, Res Base Karst Ecoenvironm Nanchuan Chongqing, Chongqing 400715, Peoples R China 5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 6.Chinese Acad Sci, Inst Semicond, Optoelect Syst Lab, Beijing 100083, Peoples R China 7.Beijing Normal Univ, Minist Educ, Key Lab Biodivers Sci & Engn Monitoring, Beijing 100875, Peoples R China 8.Beijing Normal Univ, Res Ctr Amur Tigers & Amur Leopards, Natl Forestry & Grassland Adm, Beijing 100875, Peoples R China 9.Beijing Normal Univ, Coll Life Sci, Beijing 100875, Peoples R China 10.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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