Li Xin, Zhao Ning, Jin Rui, Liu Shaomin, Sun Xiaomin, Wen Xuefa, Wu Dongxiu, Zhou Yan, Guo Jianwen, Chen Shiping, Xu Ziwei, Ma Mingguo, Wang Tianming, Qu Yonghua, Wang Xinwei, Wu Fangming, Zhou Yuke
Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China; Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing 100101, China.
Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China.
Sci Bull (Beijing). 2019 Sep 15;64(17):1234-1245. doi: 10.1016/j.scib.2019.07.004. Epub 2019 Jul 9.
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 CO and δC 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.
智能、实时、低成本且分布式的生态系统监测对于理解和管理快速变化的生态系统至关重要。然而,大数据时代的新技术很少被引入到实际的生态系统监测中,特别是对于偏远地区的脆弱生态系统。我们引入物联网(IoT)技术,通过开发创新的智能设备并利用物联网技术在孤立环境中进行生态系统监测,建立一个生态系统监测原型系统。所开发的智能设备包括四类:用于测量蒸散和土壤湿度的大规模非侵入式仪器、用于与土壤呼吸相关的CO和δC的原位观测系统、用于监测植被变量的便携式分布式设备以及用于陆地脊椎动物监测的Bi-CMOS相机和压力触发传感器。这些新设备优于传统设备,并通过无线通信网络相互连接。生态系统监测物联网的突破包括新的数据记录器和支持数据从设备快速传输到无线网络的长距离无线传感器网络技术。这种生态系统监测物联网的适用性在中国的三个脆弱生态系统中得到了验证,包括喀斯特石漠化地区、东北虎国家公园和绿洲 - 沙漠交错带。通过将这些设备和技术与生态系统监测信息系统集成,创建了一个无缝的数据采集、传输、处理和应用物联网。这种生态系统监测物联网的建立将成为生态系统监测的新范式,从而为大数据时代的生态系统管理和决策提供一个平台。