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What GPS techniques for monitoring disturbances offer is a relatively inexpensive means to proliferate measurements with the goal of resolving issues like spatial versus temporal variations of irregularities.
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The aim of this study was to assess the potential for these taxa to serve as surrogates for biodiversity assessment, and as indicators for monitoring disturbance.
Of the larger species (shell length ±8 mm), Macroptychia africana, which was found in three of the four unburned forests and none of the burned forests, may be the most appropriate species for monitoring disturbance.
These taxa have relatively well known taxonomy, and are easily observed, and they may also be suitable for monitoring disturbance because they do not have complex life cycles (except for ants), adults are relatively long-lived compared to most insects [7], and because they have limited mobility they are less likely to escape and colonise other habitats after disturbance.
The sensors monitor disturbances in the touch pad's electric field, not pressure, so typing requires only a very light touch.
The answer seems to lie in the way the brain monitors disturbances in the world outside the body — snakes and robbers — compared with the way it monitors trouble inside the body — hunger, heart attacks, the feeling of not being able to breathe.
Therefore, it is vital to obtain improved estimates of peatland distribution across the globe, as well as to monitor disturbances due to climate change or human activity.
Monitoring forest disturbances using remote sensing data with high spatial and temporal resolution can reveal relationships between forest disturbances and forest ecological patterns and processes.
Creagh says that means things like testing the water supply, and monitoring seismic disturbances.
This quantization is within the 0.005 Hz accuracy required by the C37.118.1 standard [12] and in terms of monitoring large disturbances to the system frequency it is not a barrier to the proper performance of the WAMS.
In this paper, we apply such an index-trends approach, which has been developed and applied to time series Landsat imagery in rangeland and woodland environments, to continental-scale monitoring of disturbances within forested regions of Australia.
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