Spatial eigenfunction analyses in stream networks: do watercourse and overland distances produce different results?
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Data
2011-01-18
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Resumo
1. The use of spatial variables is a common procedure in ecological studies. The technique
is based on the definition of a connectivity ⁄distance matrix that conceptually defines the
dispersal of organisms. The shortest distance between two points is a straight line. Despite
the fact that a straight line may not represent the easiest dispersal path for many kinds of
organisms, straight-line distances are often used to detect patterns. We argue that other
types of connectivity ⁄distance matrices will better represent dispersal paths, such as the
watercourse distance for aquatic organisms (e.g. fish, shrimps).
2. We used empirical and simulated community data to evaluate the usefulness of spatial
variables generated from watercourse and overland (straight-line) distances.
3. Spatial variables based on watercourse distances captured patterns that straight-line
distances did not, and provided better representations of the spatial patterns generated by
dispersal along a dendritic network.
Descrição
v. 56, p. 1184-1192, jun. 2011.
Palavras-chave
Community, Dispersal, Overland, Stream networks, Watercourse
Citação
LANDEIRO, Victor L.; MAGNUSSON, William E.; MELO, Adriano S.; ESPIRITO-SANTO, Helder M. V.; BINI, Luis M. Spatial eigenfunction analyses in stream networks: do watercourse and overland distances produce different results?. Freshwater Biology, v. 56, p. 1184-1192, Jun. 2011. Disponível em: <http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2427.2010.02563.x/epdf>.