A Mobile Instrumented Sensor Platform for Long-Term Terrestrial Ecosystem Analysis: An Example Application in an Arctic Tundra Ecosystem
A Mobile Instrumented Sensor Platform for Long-Term Terrestrial Ecosystem Analysis: An Example Application in an Arctic Tundra Ecosystem
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DOI：
10.3808/jei.201400278
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发表时间：
2014
影响因子：
7
通讯作者：
N. Healey;S. Oberbauer;H. Ahrends;D. Dierick;J. Welker;A. Leffler;R. Hollister;S. Vargas;C. Tweedie
中科院分区：
文献类型：
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作者：
N. Healey;S. Oberbauer;H. Ahrends;D. Dierick;J. Welker;A. Leffler;R. Hollister;S. Vargas;C. Tweedie
为了解决气候变化对自然生态系统的影响，研究人员需要能够在季节、年际和年代际时间尺度上检测植物对生态系统生产力、物种组成、物候、结构和功能变化的高效集成地面传感器系统。在这里，我们介绍了移动仪器传感器平台（MISP），这是一种多功能机器人传感器系统，悬浮在树冠上方或树冠内部，可适应短期和长期观测，适用于多种生态系统。该系统的新颖之处在于它是移动的，而不是静态的，传感器套件可以定制，安装和操作相对于已经使用的同类系统只需要很小的表面扰动平衡。MISP是对北极观测网络的国际冻土带实验（AON-ITEX）的贡献，在该实验中，我们在低北极和高北极之间的五个地点记录了50米样带上不同冻土带植物群落的观测结果。观测包括气温、地表温度、进出长波和短波辐射、反照率、归一化植被指数（NDVI）、三维视频、二维和三维摄影以及高光谱反射率。数据分析证明，由于采样的流动性，该系统适用于检测小尺度土壤湿度和其他梯度的微妙生态系统变化。长期研究将受益于这种方法，因为采样是可重复的，具有高空间和时间分辨率，并且该系统可以适应未来的技术。
To address impacts of climate change on natural ecosystems, researchers need efficient and integrated ground-based sensor systems capable of detecting plant to ecosystem alterations to productivity, species composition, phenology, and structure and function over seasonal, inter-annual, and decadal time scales. Here, we introduce the Mobile Instrumented Sensor Platform (MISP), a versatile robotic sensor system that is suspended above or within the canopy and is designed to be adaptable for both short and long-term observations, and suitable for multiple ecosystems. The system is novel in that it is mobile, rather than static, the suite of sensors can be customized, and installation and operation requires minor surface distur bance relative to comparable systems already in use. MISP was developed as a contribution to the Arctic Observation Network’s International Tundra Experiment (AON-ITEX), where at five locations between the low and high Arctic we record observations of different tundra plant communities over a 50 m transect. Observations include air temperature, surface temperature, incoming and outgoing long- and short-wave radiation, albedo, Normalized Difference Vegetation Index (NDVI), three-dimensional video, two and three-dimensional photography, and hyperspectral reflectance. Data analysis has proven the system’s suitability for detecting subtle ecosystem changes across small-scale soil moisture and other gradients due to the mobile nature of the sampling. Long-term studies will benefit from this approach because sampling is repeatable with high spatial and temporal resolution and the system can be adapted to incorporate future technologies.