Spatial Sorting
Spatial Sorting - Related Videos
08:52
Spatial Molecular Imaging of the Glycome Using Mass Spectrometry
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Cited by 1 •
2025
This protocol details the key steps to enable rigorous and reproducible measurement of both glycogen and N-linked glycans using mass spectrometry imaging.
07:51
Spatial Cueing
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Attention refers to the limited human ability to select some information for processing at the expense of other stimuli in the environment. Attention operates in all sensory modalities: vision, hearing, touch, even taste and smell. It is most often studied in the visual domain though. A common way to study visual attention is with a spatial cueing paradigm. This paradigm allows researchers to measure the consequences of focusing...
08:13
Spatial Memory Testing Using Mazes
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2023
Spatial learning and memory are neurological functions that allow us to remember important details associated with our environment. Scientists test this phenomenon in rodents using different types of mazes like Morris water maze, Radial water maze, and Barnes maze. By investigating spatial memory in rodents, neurobehavioral scientists can gain valuable understanding of how these processes are altered following brain damage in humans. Here, the neurobiology behind spatial memory is briefly...
10:16
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
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2025
This article introduces a protocol for using DeepSpaceDB, a dynamic, interactive database for spatial transcriptomics, offering analysis workflows and examples to explore tissue organization and disease-related gene expression.
10:31
A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
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Cited by 6 •
2017
The article shows how to use the program SpikeSorter to detect and sort spikes in extracellular recordings made with multi-electrode arrays.
FAQs
At an expanding range front, individuals with greater dispersal ability are more likely to arrive early and reproduce there. When these early arrivals preferentially mate with other early-arriving dispersers, dispersal-related traits can become more common across successive generations at the leading edge. The mechanism therefore links movement history, spatial position, and mating patterns.
Spatial sorting emphasizes the nonrandom geographic arrangement of individuals according to movement, location, or traits, rather than attributing population change solely to natural selection. Its key contribution is showing how access to an expanding population edge and interactions among individuals there can alter trait distributions. This distinction helps researchers interpret behavioral variation during range expansion.
Movement, mate choice, and population density are central factors. Movement determines which individuals reach particular locations, while mate choice can connect early arrival with reproduction at the range front. Density provides additional geographic context for interpreting behavioral differences. Considering these factors together helps explain why behavior may vary across locations within the same population.
Preferential mating among early-arriving dispersers can make the range front more than a temporary collection of individuals. Because those individuals reproduce with one another, dispersal-related traits may increase across successive range-front generations. This generational pattern provides a behavioral mechanism for geographic change that depends on who reaches the front and who mates there.
A study can compare individuals across geographic positions while recording their movement or dispersal ability, locations, relevant traits, mating patterns, and population density. During a range expansion, particular attention should go to the leading edge and to successive generations there. These observations can reveal whether geographic behavioral variation aligns with spatial position and arrival history.
Spatial sorting is particularly relevant to invasion biology and range expansion, where populations establish or move into new geographic areas. It also helps researchers consider how changing environments may alter movement, location, mating, and behavioral variation. By including these spatial processes, studies can improve predictions about how populations respond as their geographic distributions change.