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As an emerging technology, IoT monitoring can combine researchers, instruments, and field sites and generate archival data for a better understanding of soil abiotic CO<jats:sub>2<\/jats:sub>uptake in arid region. Images\u2019 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 CO<jats:sub>2<\/jats:sub>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 CO<jats:sub>2<\/jats:sub>sink.<\/jats:p>","DOI":"10.1155\/2016\/4589723","type":"journal-article","created":{"date-parts":[[2016,9,7]],"date-time":"2016-09-07T21:11:31Z","timestamp":1473282691000},"page":"1-8","source":"Crossref","is-referenced-by-count":2,"title":["Intelligence in Ecology: How Internet of Things Expands Insights into the Missing CO<sub>2<\/sub>Sink"],"prefix":"10.1155","volume":"2016","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7709-3143","authenticated-orcid":true,"given":"Wenfeng","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, 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