Observing Arctic Ecology using Networked Infomechanical Systems
Abstract
Understanding ecological dynamics is important for investigation into the potential impacts of climate change in the Arctic. Established in the early 1990's, the International Tundra Experiment (ITEX) began observational inquiry of plant phenology, plant growth, community composition, and ecosystem properties as part of a greater effort to study changes across the Arctic. Unfortunately, these observations are labor intensive and time consuming, greatly limiting their frequency and spatial coverage. We have expanded the capability of ITEX to analyze ecological phenomenon with improved spatial and temporal resolution through the use of Networked Infomechanical Systems (NIMS) as part of the Arctic Observing Network (AON) program. The systems exhibit customizable infrastructure that supports a high level of versatility in sensor arrays in combination with information technology that allows for adaptable configurations to numerous environmental observation applications. We observe stereo and static time-lapse photography, air and surface temperature, incoming and outgoing long and short wave radiation, net radiation, and hyperspectral reflectance that provides critical information to understanding how vegetation in the Arctic is responding to ambient climate conditions. These measurements are conducted concurrent with ongoing manual measurements using ITEX protocols. Our NIMS travels at a rate of three centimeters per second while suspended on steel cables that are ~1 m from the surface spanning transects ~50 m in length. The transects are located to span soil moisture gradients across a variety of land cover types including dry heath, moist acidic tussock tundra, shrub tundra, wet meadows, dry meadows, and water tracks. We have deployed NIMS at four locations on the North Slope of Alaska, USA associated with 1 km2 ARCSS vegetation study grids including Barrow, Atqasuk, Toolik Lake, and Imnavait Creek. A fifth system has been deployed in Thule, Greenland beginning in 2012. Once compiled and quality controlled, all of our data are freely available online via the Arctic Observing Network's Advanced Cooperative Arctic Data and Information Service (ACADIS). Here we present some of our findings to show how our results can be advantageous to various disciplines including plant ecology, hydrology, geology, atmospheric sciences, and remote sensing. For instance, we found that albedo decreases with increasing NDVI after initial green-up and loss of dead standing litter (DOY 174-184), displaying an r2 of 0.90 in 2012 at Toolik Lake. This relationship is vital for determining phonological events via remote sensing and understanding the surface energy balance that impacts atmospheric processes, weather and climate, the hydrologic cycle, and ecophysiological progression throughout the short arctic growing season. Scaling these data to larger scales, which is critical to future monitoring of the potential impacts of climate change on arctic vegetation, is facilitated by linkage of measurements along the NIMS transects and manual vegetation measurements in the 1 km2 sample grids with frequent low-altitude aerial photography.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2012
- Bibcode:
- 2012AGUFM.C13E0676H
- Keywords:
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- 0718 CRYOSPHERE / Tundra