With prior knowledge of the error-frequency landscape for a given amplicon, our data indicate that rare variants can be called with very high accuracy.
Remarkably, while both a DE and a Distance × Task interaction was detected in adults at electrode P8, the main effect and the interaction engaged very different points of the time-frequency landscape.
A sliding temporal window of 128 points was applied 200 times providing output frequency bins at about 2 Hz steps, and output times between -36 to 536 ms with a resolution of 2.87 ms. DEs were detected by within-subject Distance × Task ANOVAs run separately for each group at each point of the time-frequency landscape.
Both fire frequency and landscape position have significant effects on microarthropod abundance; however, those effects cannot be robustly predicted based solely on forest floor litter mass differences.
The following quantitative characteristics have been monitored: Area (P) in hectares or as a percentage of the categories, Relative frequency of landscape elements (fragmentation) in No ha−1, Relative frequency in No ha−1, and Average size of the elements in hectares.
This work presents a hardware implementation of an FIR filter that is self-adaptive; that responds to arbitrary frequency response landscapes; that has built-in coefficient error tolerance capabilities; and that has a minimal adaptation latency.
Landscape frequency was positively related to topographic niche breadth.
We used MODIS active fire and burned area products to estimate fire frequency across the landscape.
From January September in this landscape, frequency of subsurface water use by vegetation remained relatively constant, supplementing decreasing shallow soil water availability and/or increasing evaporative demand.
Landscape frequency was positively related to both local abundance and continental range size, which, however, were not related to each other.
Commonness at the smaller scales (local abundance, landscape frequency) was estimated using data from 57 transects (5 × 500 m) in primary, non-inundated (terra firme) rainforest in a western Amazonian landscape, while commonness at the largest scale (continental range size) was estimated from digitized distribution maps.
