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The small scale variability in earthworm abundance is often found to be very high, which is a problem for representative sampling of earthworm abundance at larger scales.
Selecting the optimal span size for a dataset, however, may obscure important small scale variability in maps; it is possible that our analyses were conducted on a scale too large to identify small scale environmental exposures relevant in the etiology of ASD.
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Our publication (Thakar et al., 2017) sought to enhance scientific rigor in archaeological evaluation of potential anthropogenic impacts on past shellfish communities through ecological assessment of small scale-variability in California mussel growth rates and through development of an alternative working hypothesis.
The focus on small-scale variability in stand structure means that trees of different species and sizes grow in close proximity to each other.
Small-scale variability in biomass production of crops (cropmarks) can be used for mapping of former human activity in the agricultural landscape.
Small-scale variability in fresh and saline discharge indicates influence of meter-scale geologic heterogeneity, while site-scale discharge patterns are evidence of the influence of the paleovalley feature.
To improve our insight into such highly complex decision-making environments and to better understand the decision factors, we found it useful to organize the assessment into a framework structured around the five silvicultural principles listed above (partial harvest, natural regeneration, small-scale variability in stand structures, mixed species, avoidance of intensive operations).
Harvesting operators may also have limited access to innovative machinery and techniques suitable for partial harvesting operations that address small-scale variability in stand structure, are able to deal with a wider variety of species, tree sizes, and qualities, and are designed to protect retained trees (including natural regeneration and site and soil conditions).
A-horizons showed a strong, small-scale variability in thickness reaching from 10 cm up to 40 cm.
The LUR model was built on neighborhood-level measures of NOx and captures small-scale variability in pollutant levels due to proximity to roadway emission sources.
Our analysis explored a range of GIS-based traffic indicators to capture small-scale variability in multiple air pollutants within dense urban neighborhoods.
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