TY - JOUR A2 - Chen, Guo AU - Wang, Wenfeng AU - Chen, Xi AU - Zheng, Hongwei AU - Lv, Zhihan AU - Liu, Zhengjia AU - Qian, Jing AU - Hu, Ping PY - 2016 DA - 2016/09/07 TI - Intelligence in Ecology: How Internet of Things Expands Insights into the Missing CO2 Sink SP - 4589723 VL - 2016 AB - Arid region characterizes more than 30% of the Earth’s total land surface area and the area is still increasing due to the trends of desertification, yet the extent to which it modulates the global C balance has been inadequately studied. As an emerging technology, IoT monitoring can combine researchers, instruments, and field sites and generate archival data for a better understanding of soil abiotic CO2 uptake in arid region. Images’ similarity analyses based on IoT monitoring can help ecologists to find sites where the abiotic uptake can temporally dominate and how the negative soil respiration fluxes were produced, while IoT monitoring with a set of intelligent video recognition algorithms enables ecologists to revisit these sites and the experiments details through the videos. Therefore, IoT monitoring of geospatial images, videos, and associated optimization and control algorithms should be a research priority towards expanding insights for soil abiotic CO2 uptake and a better understanding of how the uptake happens in arid region. Nevertheless, there are still considerable uncertainties and difficulties in determining the overall perspective of IoT monitoring for insights into the missing CO2 sink. SN - 1058-9244 UR - https://doi.org/10.1155/2016/4589723 DO - 10.1155/2016/4589723 JF - Scientific Programming PB - Hindawi Publishing Corporation KW - ER -